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Jatropha curcas photo by A. Abdurrahman<br />

| Nus Biosci | vol. 3 | no. 1 | pp. 1‐58 | March 2011 |<br />

<strong>ISSN</strong> <strong>2087</strong>‐<strong>3940</strong> (<strong>PRINT</strong>) | <strong>ISSN</strong> <strong>2087</strong>‐<strong>3956</strong> (ELECTRONIC)


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| Nus Biosci | vol. 3 | no. 1 | pp. 1‐58 | March 2011 |<br />

<strong>ISSN</strong> <strong>2087</strong>‐<strong>3940</strong> (<strong>PRINT</strong>) | <strong>ISSN</strong> <strong>2087</strong>‐<strong>3956</strong> (ELECTRONIC)<br />

I S E A Journal o f B i o l o g i c a l S c i e n c e s<br />

FIRST PUBLISHED:<br />

2009<br />

<strong>ISSN</strong>:<br />

<strong>2087</strong>-<strong>3940</strong> (printed edition), <strong>2087</strong>-<strong>3956</strong> (electronic edition)<br />

EDITORIAL BOARD:<br />

Abdulaziz M. Assaeed (King Saud University, Riyadh, Saudi Arabia), Alfiono (Sebelas Maret University, Surakarta), Edwi Mahajoeno<br />

(Sebelas Maret University, Surakarta), Ehsan Kamrani (Hormozgan University, IR Iran), Eko Handayanto (Brawijaya University,<br />

Malang), Endang Sutariningsih (Gadjah Mada University, Yogyakarta), Faturochman (Gadjah Mada University, Yogyakarta), Iwan<br />

Yahya (Sebelas Maret University, Surakarta), Jamaluddin (R.D. University, Jabalpur, India), Lien A. Sutasurya (Bandung Institute of<br />

Technology, Bandung), Magdy Ibrahim El-Bana (Suez Canal University, Al-Arish, Egypt), Mahendra K. Rai (Amravati University,<br />

India), Marsetyawan H.N. Ekandaru (Gadjah Mada University, Yogyakarta), Oemar Sri Hartanto (Sebelas Maret University, Surakarta),<br />

R. Wasito (Gadjah Mada University, Yogyakarta), Rugayah (Indonesian Institute of Science, Cibinong-Bogor), Sameer A. Masoud<br />

(Philadelphia University, Amman, Jordan), Supriyadi (Balitbiogen, Bogor), Sri Margana (Gadjah Mada University, Yogyakarta), Suranto<br />

(Sebelas Maret University, Surakarta), Sutarno (Sebelas Maret University, Surakarta), Sutiman B. Sumitro (Brawijaya University,<br />

Malang), Taufikurrahman (Bandung Institut of Technology, Bandung), Wayan T. Artama (Gadjah Mada University, Yogyakarta)<br />

EDITOR-IN-CHIEF:<br />

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EDITORIAL STAFF:<br />

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MANAGING EDITORS:<br />

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EXPERTATION OF THE EDITORIAL BOARD:<br />

AGRICULTURAL SCIENCES: Eko Handayanto (ehn_fp@brawijaya.ac.id), ANTHROPOLOGY: Sri Margana (margo15id@yahoo.com), APPLIED<br />

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BIOCHEMISTRY: MAHENDRA K. RAI, BIOPHYSICS AND COMPUTATIONAL BIOLOGY: Iwan Yahya (iyahya@uns.ac.id), CELL BIOLOGY:<br />

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Ibrahim El-Bana (magdy.el-bana@ua.ac.be), ENVIRONMENTAL SCIENCES: Abdulaziz M. Assaeed (assaeed@ksu.edu.sa), EVOLUTION:<br />

Taufikurrahman (taufik@bi.itb.ac.id), GENETICS: Sutarno (nnsutarno@yahoo.com), IMMUNOLOGY: Marsetyawan H.N. Ekandaru<br />

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(wasito@ugm.ac.id), MICROBIOLOGY: Endang Sutariningsih (annisah-endang@ugm.ac.id), NEUROSCIENCE: Oemar Sri Hartanto<br />

(oemarsrihartanto@yahoo.com), PHARMACOLOGY: Supriyadi (supriyadi@cbn.net.id), PHYSIOLOGY: Sameer A. Masoud<br />

(smasoud@philadelphia.edu), PLANT BIOLOGY: Rugayah (titikrugayah@yahoo.com), POPULATION BIOLOGY: Ehsan Kamrani<br />

(kamrani@hormozgan.ac.ir), PSYCHOLOGICAL AND COGNITIVE SCIENCES: Faturochman (fatur@cpps.or.id), SUSTAINABILITY SCIENCE:<br />

Jamaluddin (jamaluddin_123@hotmail.com), SYSTEMS BIOLOGY: Edwi Mahajoeno (edmasich@yahoo.com)


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Saharjo BH, Nurhayati AD. 2006. Domination and composition structure<br />

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Elsevier, Amsterdam.<br />

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W, Schnitzer S (eds) Tropical forest community ecology. Wiley-<br />

Blackwell, New York.<br />

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annual symposium of the International Association for Vegetation<br />

Science, Swansea, UK, 23-27 July 2007.<br />

Proceeding:<br />

Alikodra HS. 2000. Biodiversity for development of local autonomous<br />

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biodiversity conservation to protect and save germplasm in Java island.<br />

Sebelas Maret University, Surakarta, 17-20 July 2000. [Indonesia]<br />

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Sugiyarto. 2004. Soil macro-invertebrates diversity and inter-cropping plants<br />

productivity in agroforestry system based on sengon. [Dissertation].<br />

Brawijaya University, Malang. [Indonesia]<br />

Information from internet:<br />

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Vol. 3, No. 1, Pp. 1-6<br />

March 2011<br />

<strong>ISSN</strong>: <strong>2087</strong>-<strong>3940</strong> (print)<br />

<strong>ISSN</strong>: <strong>2087</strong>-<strong>3956</strong> (electronic)<br />

Optimization of DNA extraction of physic nut (Jatropha curcas) by<br />

selecting the appropriate leaf<br />

EDI PRAYITNO, EINSTIVINA NURYANDANI ♥<br />

Open University, UPBJJ Semarang. Jl. Semarang-Kendal, Mangkang Wetan, Semarang 50156, Central Java, Indonesia, Tel. +62-24-8666044, Fax. +62-<br />

24-8666045; ♥ email: vina_ut@yahoo.co.id<br />

Manuscript received: 11 November 2010. Revision accepted: 24 February 2011 (stay empty)<br />

Abstract. Prayitno E, Nuryandani E. 2011. Optimization of DNA extraction of physic nut (Jatropha curcas) by selecting the appropriate<br />

leaf. Nusantara Bioscience 3: 1-6. Jatropha curcas L. has important roles as renewable source of bioenergy. The problem occurs on<br />

difficult of DNA extraction for its molecular breeding programs. The objectives of this research were to study which leaf best as source<br />

of DNA extraction. Four accession were used, namely J1 and J2 (Jawa Tengah), S1 (South Sumatra), and S2 (Bengkulu). First, third,<br />

fifth, seventh, and yellow leaves for each accession were extracted using modification of Doyle and Doyle (1987) method. Visualization<br />

and comparation with Lambda DNA, Spectrophotometer UV-Vis and cutting DNA with EcoRI enzyme were show quality and quantity<br />

of DNA. The result showed that third leaves have sufficient quality and quantity as source of DNA. Third leaves DNA quantity for J1<br />

(19.33 µg/mL), J2 (26.21 µg/mL), S1 (31.20 µg/mL), dan S2 (61.03 µg/mL), and quality for each accession were 1.9063 (J1), 2.0162<br />

(J2), 2.0116 (S1), and 2.0856 (S2).<br />

Key words: Jatropha curcas, DNA extraction, appropriate, leaf.<br />

Abstrak. Prayitno E, Nuryandani E. 2011. Optimalisasi ekstraksi DNA jarak pagar (Jatropha curcas) melalui pemilihan daun yang<br />

sesuai. Nusantara Bioscience. Nusantara Bioscience 3: 1-6. Jarak pagar (Jatropha curcas L.) mempunyai peran penting sebagai sumber<br />

bahan bakar nabati. Usaha pemuliaan tanaman ini secara molekuler sering terkendala sulitnya ekstraksi DNA. Penelitian ini bertujuan<br />

untuk mengetahui daun yang sesuai untuk digunakan sebagai sumber DNA. Penelitian ini dilakukan pada empat aksesi jarak pagar yaitu<br />

J1 dan J2 (Jawa Tengah), S1 (Sumatera Selatan), dan S2 (Bengkulu). Ekstraksi dilakukan pada daun pertama, ketiga, kelima, ketujuh,<br />

dan daun kuning dari setiap aksesi dengan metode Doyle and Doyle (1987) yang dimodifikasi. Kualitas dan kuantitas DNA hasil<br />

ekstraksi diketahui melalui visualisasi dengan pembanding DNA lambda, spektrofotometer UV-Vis pada panjang gelombang 260/280,<br />

dan pemotongan menggunakan enzim EcoRI. Hasil penelitian menunjukkan bahwa daun ketiga memadai untuk digunakan sebagai<br />

sumber DNA. Kuantitas DNA daun ketiga J1 (19,33 µg/mL), J2 (26,21 µg/mL), S1 (31,20 µg/mL), dan S2 (61,03 µg/mL). Sedangkan<br />

kemurniannya masing-masing yaitu 1,9063 (J1), 2,0162 (J2), 2,0116 (S1), dan 2,0856 (S2).<br />

Kata kunci: Jatropha curcas, ekstraksi DNA, daun, sesuai.<br />

INTRODUCTION<br />

Increased economic growth and spur the growth of<br />

population of high energy consumption. Energy source the<br />

world today is still dominated by fossil fuel that cannot be<br />

renewed (unrenewable). Various efforts have been made to<br />

solve energy problems (Raharjo 2007). Fuel from the plant<br />

has several advantages such as ease of storage and<br />

environmentally friendly, therefore biofuels were given<br />

priority for development. On January 25, 2006, the<br />

President of Indonesia issued Presidential Regulation No.<br />

5/2006 regarding the national energy policy and<br />

Presidential Instruction No. 1/2006 concerning the<br />

provision and use of biofuels as alternative fules. Then on<br />

July 1, 2006, presidential and state officials conducting a<br />

retreat in the village of Losari, Grabag subdistric,<br />

Magelang district, and decided to develop a bioenergy or<br />

biofuel as an alternative energy.<br />

Biofuel can be divided into two major categories,<br />

namely bioethanol and biodiesel. Bioethanol is ethanol<br />

derived from fermentation of raw materials that contain<br />

starch or sugar such as molasses and cassava. This fuel can<br />

be used to replace regular gasoline (gasoline). Ethanol can<br />

be used is alcohol-free pure water (anhydrous alcohol) and<br />

levels of more than 99.5%, or called with a fuel grade<br />

ethanol (FGE). Blend of premium and FGE is called<br />

gasohol. In Indonesia, Pertamina give biopremium<br />

trademark for the product. Biodiesel is a popular name for<br />

FAME (fatty acid methyl ester), is a biofuel that is used to<br />

power diesel engines as an alternative to diesel. This fuel<br />

derived from vegetable oils are converted through chemical<br />

and physical reactions, so that the nature of the chemical<br />

has changed from its original nature. Currently, Pertamina<br />

has issued such a product with trade name which is a<br />

blending FAME biodiesel with regular diesel (petrosolar)<br />

(Prihandana et al. 2007).


2<br />

3 (1): 1-6, March 2011<br />

Jatropha curcas is a native plant of Central America<br />

(Fairless 2007) and has been naturalized in tropical and<br />

subtropical regions, including Indonesia. This species is<br />

drought resistant and is commonly planted as a garden<br />

fence, but is also useful as an ornamental plant shrubs and<br />

herbs. Oil from the seeds is useful for medicine,<br />

insecticides, making soap and candles, as well as raw<br />

material for biodiesel (Gubitz et al. 1999). The use of<br />

castor oil as biodiesel ingredient is an ideal alternative,<br />

because it is a renewable oil resources (renewable fuels)<br />

and non-edible oil so it does not compete with human<br />

consumption requirements, such as palm oil, corn,<br />

soybeans and others (Dwimahyani 2005). In addition,<br />

Jatropha also contains secondary metabolites which are<br />

useful as protectant for plants and as an ingredient for<br />

human medicine (Debnath and Bisen 2008)<br />

Some of the obstacles encountered in developing castor oil,<br />

among others, lack of information about varieties that have<br />

beneficial properties such as high production, fast<br />

multiplication, high oil yield in seeds, as well as resistance<br />

to pests and diseases. This happens because so far the<br />

Jatropha plant is only regarded as hedgerows that have low<br />

economic value so that research and development of this<br />

plant is rarely done. To overcome this, plant breeding has a<br />

significant role.<br />

Characterization of jatropha plant in Indonesia is<br />

carried out simply and not be universal. Often, the mention<br />

of Jatropha plant species is based solely on phenotypic<br />

appearance or region of origin. Characterization using<br />

morphological or phenotypic description has limitations<br />

because it is very influenced by the environment. Different<br />

morphological features can be caused by environmental<br />

stress, whereas the same genotype, whereas the same<br />

morphological features do not necessarily indicate that both<br />

types of plants are closely related, because the outer shape<br />

of a plant is the result of cooperation between the genotype<br />

by environment (Joshi et al. 1999; Karsinah 1999 .)<br />

Therefore, it is necessary to develop universal genetic<br />

information. Molecular markers can provide information<br />

universally because it is not influenced by the environment<br />

(Azrai 2005), so that they can answer the problem in the<br />

characterization of physic nut plants.<br />

Jatropha curcas is one of the many plants that contain<br />

latex, which is a true plant secondary metabolites. The<br />

presence of secondary metabolites such as polyphenols,<br />

tannins, and polysaccharides can inhibit the action of the<br />

enzyme (Porebski 1997; Pirtilla et al. 2001). Isolation of<br />

plant DNA at a distance often experienced problems due to<br />

high levels of secondary metabolites in the form of<br />

polysaccharides and polyphenols. According to Sharma et<br />

al. (2002) the presence of metabolites in several crops<br />

affect DNA isolation procedure, he was using a modified<br />

CTAB to isolate DNA from plant tissue containing high<br />

polysaccharide. In line with this Kiefer et al. (2000), Pirtilla<br />

et al. (2001) and Sanchez-Hernandes, C. and J.C. Gaytan-<br />

Oyarzun (2006), states that the extraction of DNA and<br />

RNA from plants containing polysaccharides, polyphenols<br />

as well as sap and difficult.<br />

Proper techniques of DNA extraction is needed in the<br />

plant breeding process to obtain DNA with a high quality<br />

and quantity. To obtain pure DNA from plant sap,<br />

generally carried out repeated purification and modification<br />

of procedures (Kiefer et al. 2000), thus requiring additional<br />

cost and effort. For that, you can use parts of plants that<br />

contain little secondary metabolites. The content of<br />

secondary metabolites in plant tissues fluctuate in line with<br />

its development. Secondary metabolites may vary because<br />

of differences in age and plant part (Cirak et al. 2007a, b,<br />

2008; Achakzai et al. 2009). Therefore, to simplify the<br />

DNA extraction process jatropha, have done research to<br />

learn the parts of plants containing secondary metabolites<br />

in small amounts and produce DNA with high quality and<br />

quantity.<br />

This research aims to study the jatropha plant leaves at<br />

different levels of development that have the potential to<br />

produce the best quality and quantity of DNA in the DNA<br />

extraction process.<br />

MATERIALS AND METHODS<br />

Time and place of study<br />

Research was conducted at the Open University UPBJJ-<br />

Semarang, Central Research Laboratory Tropical Fruit IPB,<br />

Bogor, West Java, and Laboratory of Structure and<br />

Function of Plant Diponegoro University in March to<br />

November 2009.<br />

Plant material<br />

Jatropha plant materials used in this study are the three<br />

accessions of jatropha plants originated from areas of<br />

Klaten (Central Java) with the code J1 and J2, Palembang<br />

(South Sumatra) with codes S1, and Bengkulu, with the<br />

code S2.<br />

Procedures<br />

Isolation of DNA. About 0.5 g of leaves from the first,<br />

third, fifth, seventh and yellow leaves from each sample<br />

was crushed in porcelain bowls by adding 0.1 grams of<br />

silica sand to be easily crushed. To prevent network<br />

browning by oxidation, polivinilpolipirilidon (PVPP) as<br />

much as 40 mg and added extraction buffer (2% CTAB,<br />

100 mM Tris-HCl pH 8, 1.4 M NaCl, 20 mM EDTA) as<br />

much as 1 mL is added into a cup containing the sample<br />

which has added 1% merkaptoetanol. Samples that have<br />

been incorporated into the fine volume of 1.5 mL<br />

Eppendorf tube. Subsequently the mixture incubated at<br />

65oC for 30 minutes while inverted, and then added 1 mL<br />

solution of chloroform: isoamilalchohol (24:1 = v/v) and<br />

divortek for 5 seconds. This solution was then separated<br />

using a centrifuge with a speed of 11,000 rpm for 10<br />

minutes at a room temperature. Supernatant was separated<br />

from the pellet by putting it into a new Ependorf tube.<br />

DNA in the supernatant was purified by adding 1 mL<br />

solution of chloroform: isoamilalkohol (24:1 = v/v) and<br />

disentrifuse at a speed of 11,000 rpm for 10 minutes at<br />

room temperature. Supernatant was transferred into a tube<br />

and added with 1 mL of cold isopropanol, shaken gently<br />

until white threads arise, which is DNA. Subsequently<br />

DNA was precipitated by incubation for 30 minutes at a


PRAYITNO & NURYANDANI – Optimization of DNA extraction of Jatropha curcas 3<br />

temperature of -20ºC. Solution containing the DNA that<br />

has been purified disentrifuse with speed 11 000 rpm for 10<br />

minutes at room temperature and then the supernatant was<br />

discarded. DNA precipitate was washed with 70% alcohol<br />

and dried at room temperature. Further the DNA samples<br />

that was obtained was dissolved in 100 mL TE buffer (10<br />

mM Tris-HCl pH 7.5, 10 mM EDTA) and incubated at 37°<br />

C for one hour and then mixed until uniform to further test<br />

its quality.<br />

Test the quality and quantity of DNA. The quantity<br />

(concentration) and quality of DNA determined by UV-Vis<br />

spectrophotometer at wavelength 260 and 280 nm.<br />

Determination of the total DNA quantity was calculated<br />

based on the value of absorbance at a wavelength of 260<br />

nm. A at 260 = 1.0 equivalent amount of DNA is 50<br />

ug/mL. λ DNA quality is considered good if the value of<br />

A260/280 approaching 1.8 to 2. To determine the<br />

concentration and quality of DNA, electrophoresis results<br />

were soaked in a solution of 1% EtBr and then observed<br />

under UV transluminator. The quantity of DNA is based on<br />

the thickness of the electrophoresis results of DNA samples<br />

are compared with the amount of lambda DNA of known<br />

concentration, ie 250 ug/mL. This study also tested the<br />

quality of DNA by cutting genomic DNA using EcoRI<br />

enzyme are visualized by electrophoresis on agarose gel.<br />

RESULTS AND DISCUSSION<br />

Visualization of the extracted DNA<br />

The success of the isolation and extraction process of<br />

genomic DNA can be marked with resultant large DNA<br />

(high molecular weight DNA), that is not degraded during<br />

extraction and purification process, and can be cut by<br />

restriction enzymes that has been used (Herison 2003).<br />

Results of isolation and extraction of jatropha’s DNS<br />

employed Doyle and Doyle method (1987) which has been<br />

modified to produce the desired genomic DNA bands,<br />

although relatively small quantity when compared to<br />

lambda DNA. Genomic DNA was seen as a ribbon that<br />

lights up at the top sinks electrophoresis results.<br />

In general, smear on DNA extracted from young leaves<br />

(code J11, J21, S11, S21) and concentrated look taller than<br />

the smear on DNA extracted from the older leaves, then<br />

gradually decreasing concentration smear on leaves more<br />

old (leaves the third, fifth, and seventh), and smear the least<br />

present in yellow leaves, except on J1 where J1k (yellow)<br />

has a thicker ribbon smears compared J15 and J17 (Figure<br />

1).<br />

In genomic DNA extracted from young leaves, which<br />

are visible smear on the bottom of genomic DNA. Ribbon<br />

smear is a molecule with varying weights that can be<br />

derived from degraded DNA or other follow-up material<br />

that is not known (Herison 2003). Smears indicated that the<br />

isolated genomic DNA was not intact anymore, probably<br />

dismembered during the extraction takes place (Sisharmini<br />

et al. 2001). Genomic DNA damage can be caused by<br />

degradation of secondary compounds that are released<br />

when the cells were destroyed or damaged due to physical<br />

handling. The decline is likely influenced by the smear of<br />

secondary metabolites of plants and physical handling. In<br />

this case the physical handling for each sample the same<br />

can be said for using the same standard procedure,<br />

therefore, the greatest influences that cause differences in<br />

high and low smear is a secondary metabolite from the<br />

leaves of plants (Milligan 1992).<br />

In certain plants, plant metabolites will be seen visually<br />

in the form of sap. Jatropha curcas is a plant sap, with pink<br />

latex (de Padua et al. 1999) or nodes in the young gradually<br />

turns cloudy/older if left in free air or dark brown when<br />

taken from the older plants (Heyne 1987). Young leaves<br />

contain more secondary metabolites than older leaves<br />

(Badawi 2006; Mulyani 2006). Young leaves generally<br />

contain secondary metabolites and enzymes that high<br />

because it requires in the process of growth, development,<br />

and division of cells’ leaf. In the development of plant<br />

secondary metabolite concentrations will gradually decline<br />

as the decline in leaf growth activity, and the leaves have<br />

yellowed, the concentration of enzymes and secondary<br />

metabolites in the leaves decreased significantly due to the<br />

ongoing process of senesensi (Salisbury and Ross 1995).<br />

At this stage the plant will attract substances and enzymes<br />

that are still useful to the plant from old leaves for use in<br />

the process of development of the younger plants, so the<br />

possibility of plant secondary metabolites present in a very<br />

low level so that the DNA is not much degraded by the<br />

follow-up compound (Salisbury and Ross 1995; Herison<br />

2003). Although the smear on the older leaves less and less,<br />

but the quantity of genomic DNA was also decreased,<br />

which lights up genomic DNA bands at the top of the wells<br />

that are running low on older leaves.<br />

L J11 J13 J15 J17 J1K J21 J23 J25 J27 J2K S11 S13 S15 S17 S1K L<br />

L S21 S23 S25 S27 S2K L<br />

Figure 1. Visualization of the extracted DNA from four accessions of Jatropha curcas Klaten (J1, J2), Palembang (S1) and Bengkulu<br />

(S2). L = LAMDA (ladder)


4<br />

3 (1): 1-6, March 2011<br />

The young leaves have a high cleavage activity. In the<br />

division process, DNA replication will experience, so the<br />

amount of DNA will double itself, thus DNA concentration<br />

is relatively high in young leaves. On older leaves, the<br />

division process could decrease, until finally stopped<br />

altogether. On the leaves that have yellowed, in addition to<br />

the absence of the division process, it also exacerbated the<br />

death of cells that were old, so the amount of DNA was<br />

also decreased dramatically (Salisbury and Ross 1995).<br />

Test the quality and quantity of DNA with UV-Vis<br />

spectrophotometer<br />

The quantity (concentration) and quality of DNA<br />

determined by UV-Vis spectrophotometer at wavelength<br />

260 and 280 nm. Determination of the total DNA quantity<br />

was calculated based on the value of absorbance at a<br />

wavelength of 260 nm. The highest DNA purity can be<br />

seen in the A260/280 ratio that produces the value of 1.8 to<br />

2. According to Sambrook et al. (1989) DNA with a ratio<br />

in the range of figures have met the requirements of purity<br />

required in molecular analysis. Spectrophotometer results<br />

show relatively good purity DNA that has yet to reach<br />

100% purity in some accessions. The concentration and<br />

purity of genomic DNA was analyzed using UV-Vis<br />

spectrophotometer can be seen in Table 1.<br />

Genomic DNA which has a purity of 100% contained in<br />

the accession J1 was extracted from the third leaf with<br />

value ratio of 1.9063. Genomic DNA from the first leaf<br />

accession J1 has a value ratios approaching 100% purity<br />

with ratio of 2.0131. While the three other leaves, that<br />

leaves the fifth, seventh, and yellow leaves have a value<br />

ratio of less than 1.8 respectively, 1.7417, 1.2578, and<br />

1.2356. Results DNA extraction leaves first, third, and fifth<br />

of the accession J2 has a value closer to purity ratio,<br />

respectively 2.0697, 2.0162, 2.0914, while the seventh<br />

leaves and yellow leaves have a ratio value that is still far<br />

from purity, namely 1.5873 and 1, 1940.<br />

On the accession of S1, almost all of the extracted DNA<br />

purity approaching leaves, each leaf of the first, third, fifth,<br />

and seventh ratio is 2.0768, 2.0116, 2.0792, 2.0225, while<br />

the yellow leaves have value ratio far from the purity of<br />

1.4434. DNA extracted first and third leaf from the<br />

accession of S2 close to the purity of the value ratio of<br />

2.0611 and 2.0856. While leaf fifth, seventh, and yellow<br />

leaves have a ratio that is far from the purity of the<br />

respective ratios 2.2187, 2.1782, and 1.5177.<br />

Besides the purity of genomic DNA samples, another<br />

consideration that must be considered is the quantity of<br />

genomic DNA was generated from the DNA extraction<br />

process. Readings A260 = 1 means the concentration of<br />

DNA obtained at 50 ug/mL (Herison 2003). The<br />

concentration of genomic DNA was extracted was<br />

calculated by the formula: DNA concentration (ug/mL) =<br />

A260 x dilution factor x 50 ug/mL.<br />

DNA concentration resulting from the extraction<br />

process represents the amount of DNA contained in the leaf<br />

tissue used for the sample and treatment methods used in<br />

each sample is the same. Table 1 below is the concentration<br />

of DNA from samples of twenty leaves from four<br />

accessions of jatropha plant that is used. From Table 1,<br />

note the concentration ratio of genomic DNA from leaf<br />

tissue of each first, third, fifth, seventh, and yellow leaves,<br />

and comparison of genomic DNA concentration between<br />

sections. In general, genomic DNA concentration<br />

decreased with increasing age of leaves used as a sample.<br />

Samples from the first leaf shows the quantity of<br />

genomic DNA is much larger than the sample leaves the<br />

third, fifth, seventh, and yellow leaves. Measurement of the<br />

quantity of genomic DNA samples from accessions J1<br />

genomic DNA in Klaten produces relatively little<br />

compared to the accession of J2, S1, and S2, which is 27.69<br />

ug/mL for the first leaf, 19.33 ug/mL for the third leaf, 3.68<br />

tg/mL for the fifth leaf, 2.03 g/mL for the seventh leaf, and<br />

4.51 ug/mL for yellow leaves. This is due to a smaller<br />

sample size compared to other accessions due to spill some<br />

of the samples by laboratory staff who worked on, so that<br />

DNA samples that were tested got reduced. While the<br />

accession J2, where accession was also derived from the<br />

same home with the accession of J1, which was from<br />

Klaten, Central Java, and comes from the same parent, the<br />

quantity of genomic DNA generated greater than J1, which<br />

is 62.06 ug/mL for the extraction of the first leaf, 26.21<br />

ug/mL for the third leaf, 27.69 ug/mL for the fifth leaf,<br />

5.37 g/mL for the seventh leaf, and 4.37 ug/mL for yellow<br />

leaves.<br />

The concentration of genomic DNA for S1 accession on<br />

the first leaves produced 67.61 g/mL DNA, whereas the<br />

third leaf, the concentration of genomic DNA was 31.20<br />

ug/mL, on the fifth leaves of 46.71 ug/mL, on the seventh<br />

leaf, 22, 90 ug/mL, and the yellow leaves of 7.59 g/mL.<br />

Accession S2 on the first leaves produced 101.35 g/mL<br />

genomic DNA, while the third leaf, the concentration of<br />

genomic DNA was 61.03 ug/mL, on the fifth leaves of<br />

44.18 ug/mL, leaves the seventh, 26.27 ug/mL , and the<br />

yellow leaves of 5.37 g/mL. The Figure 1 shows the<br />

concentration of the extracted genomic DNA of<br />

Table 1. Test the quality (purity) and quantity (concentration) of DNA using UV-Vis spectrophotometer in four accessions of jatropha<br />

from Klaten (J1, J2), Palembang (S1) dan Bengkulu (S2).<br />

Leaves<br />

DNA purity<br />

DNA concentration (µg/mL)<br />

J1 J2 S1 S2 J1 J2 S1 S2<br />

First 2.0131 2.0697 2.0768 2.0611 27.69 62.06 67.61 101.35<br />

Third 1.9063 2.0162 2.0116 2.0856 19.33 26.21 31.20 61.03<br />

Fifth 1.7417 2.0914 2.0792 2.2187 3.68 27.69 46.71 44.18<br />

Seventh 1.2578 1.5873 2.0225 2.1782 2.03 5.37 22.90 26.27<br />

Yellow 1.2356 1.1940 1.4434 1.5177 4.51 4.37 7.59 5.37


PRAYITNO & NURYANDANI – Optimization of DNA extraction of Jatropha curcas 5<br />

diminishing. This is related to the phase of leaf<br />

development that has been outlined above.<br />

Results spectrophotometer for quantity of genomic<br />

DNA of the above shows that the largest quantity of<br />

genomic DNA from four accessions were found in the<br />

extraction of the first leaf. But considering the quality of<br />

the resulting DNA, the highest purity approaching 100%<br />

are found in the sample using the third leaf as a source of<br />

genomic DNA, although in terms of quantity, the number is<br />

lower than the samples originated from the first leaf.<br />

Comparison of DNA extracted from five types of leaf<br />

samples from accessions used in J1 and J2 from Klaten,<br />

from the same parent tree can be seen in Table 1. From<br />

Table 1 it can be seen that the DNA genome of the first and<br />

second leaf (accession J1) and leaves the first, third, and<br />

fifth (accession J2) approached the purity, but purity is<br />

closest to the third leaf (accession J1 on the ratio of 1, 9063<br />

(purity 100%) and the accession to the ratio of 2.0162 A2).<br />

But in terms of quantity, J1 and J2 are not comparable<br />

although originating from the same parent because of the<br />

sample is not the same J1 J2 terms of number of samples<br />

tested for spill samples by the laboratory.<br />

Some researches indicate that generally young leaves<br />

are used in DNA extraction because of the ease in getting<br />

the DNA with a high quantity. Mansyah et al. (2003) who<br />

conducted research on mangosteen states that extraction of<br />

DNA from old leaves is more difficult when compared<br />

with young leaves, so as to obtain DNA from old leaves<br />

with a sufficient quantity is required special treatment,<br />

namely with the addition of the extracted leaves up to 2 g<br />

and DNA purification with the addition of RNase. While<br />

Prana (2003) who perform DNA extraction on taro plants<br />

also use the young leaves (in this case the leaf shoots) as<br />

the source of DNA.<br />

Test the quality of DNA by using the enzyme EcoRI<br />

cuts<br />

The purity of DNA can be seen from the absence of a<br />

DNA sample can be cut by restriction enzyme such as<br />

EcoR1 (Figure 2). If a DNA sample has high purity, this<br />

DNA would be easy to cut by restriction enzymes. But if<br />

this is still contain DNA samples follow-up materials such<br />

as secondary metabolites, carbohydrates, proteins, and<br />

others, will hinder the work restriction enzymes.<br />

Whether DNA can be cut with restriction enzymes is<br />

visible from at least smear results of electrophoresis bands<br />

after DNA cut with EcoRI enzyme (Herison 2003). EcoRI<br />

produce DNA bands when smears were electrophoresed<br />

because this restriction enzyme included in the frequent<br />

cutter (Vos et al. 1995). The result of cutting with EcoRI<br />

enzyme produces DNA fragments that appear as a smear<br />

on some samples, but most other samples can not be cut by<br />

this enzyme because of the high follow-up compounds that<br />

inhibit enzymes work. Smear only be observed in J13 and<br />

J15, while the other samples have not seen a clear smear as<br />

a result of enzyme EcoRI. Visible is the presence of minor<br />

compounds in the lower section sinks. possible follow-up<br />

material that inhibits this enzyme EcoRI work so as not to<br />

cut the genomic DNA tested jatropha.<br />

The description above discussion shows that differences<br />

in leaf tissue age used influence the extraction of genomic<br />

DNA where the younger leaves will produce a quantity of<br />

genomic DNA was higher but also accompanied by the<br />

high follow-up material in the form of plant secondary<br />

metabolites that inhibit the work in the field of molecular<br />

further. Older leaves to produce the amount of genomic<br />

DNA are relatively fewer compared to young leaves, but<br />

the following secondary metabolites was also reduced in<br />

number. This study shows that the third leaf is better used<br />

as a source of genomic DNA since the DNA purity is better<br />

than the other leaves, and the quantity produced enough<br />

DNA to be used for further molecular analysis.<br />

CONCLUSION<br />

The third leaf physic nut plants suitable for use as a<br />

source of DNA for molecular analysis of genomes, as in<br />

quantity and quality sufficient to produce genomic DNA<br />

for further molecular analysis such as PCR. Genomic DNA<br />

extracted from the third leaf is generally close to 100%<br />

purity and quantity of DNA produced is also large enough<br />

to be used for further molecular analysis.<br />

M J11 J13 J15 J17 J1k J21 J23 J25 J27 J2K S11 S13 S15 S17 S1K S21 S23 S25 S27 S2k M<br />

Figure 2. Visualization of results by the enzyme EcoRI cuts at the four accessions of jatropha from Klaten (J1, J2), Palembang (S1) and<br />

Bengkulu (S2).


6<br />

3 (1): 1-6, March 2011<br />

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Vol. 2, No. 1, Pp. 7-14<br />

March 2010<br />

<strong>ISSN</strong>: <strong>2087</strong>-<strong>3940</strong> (print)<br />

<strong>ISSN</strong>: <strong>2087</strong>-<strong>3956</strong> (electronic)<br />

Characterisation of taro (Colocasia esculenta) based on morphological and<br />

isozymic patterns markers<br />

TRIMANTO 1,♥ , SAJIDAN², SUGIYARTO²<br />

¹ SMP Negeri 2 Gemolong, Sragen, Jl. Citro Sancakan No. 249, Sragen 57274, Central Java, Indonesia; Tel.: +92-0818754378<br />

² Bioscience Program, School of Graduates, Sebelas Maret University, Surakarta 57126, Central Java, Indonesia<br />

Manuscript received: 25 October 2009. Revision accepted: 15 February 2010.<br />

Abstract. Trimanto, Sajidan, Sugiyarto. 2011. Characterization of taro (Colocasia esculenta) based on morphological and isozymic<br />

patterns markers. Nusantara Bioscience: 7-14. The aims of this research were to find out: (i) the variety of Colocasia esculenta based<br />

on the morphological characteristics; (ii) the variety of C. esculenta based on the isozymic banding pattern; and (iii) the correlation of<br />

genetic distance based on the morphological characteristics and isozymic banding pattern. Survey research conducted in the<br />

Karanganyar district, which include high, medium and low altitude. The sample was taken using random purposive sampling technique,<br />

including 9 sampling points. The morphological data was elaborated descriptively and then made dendogram. The data on isozymic<br />

banding pattern was analyzed quantitatively based on the presence or absence of bands appeared on the gel, and then made dendogram.<br />

The correlation based on the morphological characteristics and isozymic banding pattern were analyzed based on the product-moment<br />

correlation coefficient with goodness of fit criterion. The result showed : (i) in Karanganyar was founded 10 variety of C. esculenta; (ii)<br />

morphological characteristics are not affected by altitude; (iii) isozymic banding pattern of peroxides forms 14 banding patterns, esterase<br />

forms 11 banding patterns and shikimic dehydrogenase forms 15 banding patterns; (iv) the correlation of morphological data and the<br />

isozymic banding pattern of peroxidase has good correlation (0.893542288) while esterase and shikimic dehydrogenase isozymes have<br />

very good correlation (0.917557716 and 0.9121985446); (v) isozymic banding pattern of data supports the morphological character data.<br />

Key words: taro, Colocasia esculenta, morphology, isozyme.<br />

Abstrak. Trimanto, Sajidan, Sugiyarto. 2011. Karakterisasi talas (Colocasia esculenta) berdasarkan penanda morfologi dan pola pita<br />

isozim. Nusantara Bioscience: 7-14. Tujuan penelitian ini adalah untuk mengetahui: (i) keragaman Colocasia esculenta berdasarkan<br />

karakter morfologi; (ii) keragaman C. esculenta berdasarkan pola pita isozim, dan (iii) hubungan jarak genetik berdasarkan karakter<br />

morfologi dan pola pita isozim. Survei penelitian dilakukan di Kabupaten Karanganyar, di ketinggian tinggi, sedang dan rendah. Sampel<br />

diambil menggunakan teknik random sampling purposif, mencakup 9 titik cuplikan. Data morfologi diuraikan secara deskriptif dan<br />

kemudian dibuat dendogram kekerabatan. Data pola pita isozim dianalisis secara kuantitatif berdasarkan ada atau tidaknya pita di gel,<br />

kemudian dibuat dendogramnya. Korelasi berdasarkan karakter morfologi dan pola pita isozim dianalisis berdasarkan korelasi koefisien<br />

momen-produk kriteria goodness of fit. Hasil penelitian menunjukkan: (i) di Karanganyar terdapat 10 varietas C. esculenta; (ii) karakter<br />

morfologi tidak terpengaruh oleh ketinggian; (iii) peroksidase membentuk 14 pola pita isozim, esterse membentuk 11 pola pita dan<br />

shikimate dehidrogenase membentuk 15 pola pita; (iv) data morfologi dengan isozim peroksidase memiliki korelasi yang baik<br />

(0,893542288), sementara data morfologi dengan isozim esterse dan shikimate dehidrogenase memiliki korelasi yang sangat baik<br />

(0,917557716 dan 0,9121985446); (v) data pola pita isozim mendukung data karakter morfologi.<br />

Kata kunci: talas, Colocasia esculenta, morfologi, isozim<br />

INTRODUCTION<br />

The diversity of food crops in Indonesia can be<br />

developed to overcome the food problem. Types of tubers<br />

that can be utilized more optimally as a staple food rice<br />

substitutes include cassava, sweet potato, taro, purse,<br />

arrowroot and canna. These tubers have a lot of the preeminent,<br />

among them having a high content of<br />

carbohydrates as energy sources (Liu et al. 2006), not<br />

containing gluten (Rekha and Padmaja 2002), containing<br />

angiotensin (Lee et al. 2003), antioxidative ( Nagai et al.<br />

2006),which can be applied to various purposes (Aprianita<br />

2009), and produce more energy per hectWEREthan rice<br />

and wheat. Tubers can be grown on marginal areas<br />

(Louwagie et al. 2006), where other plants cannot grow and<br />

can be stored in the form of flour and starch (Aboubakar et<br />

al. 2008).<br />

Taro has a good variety of morphological characters<br />

such as tubers, leaves and flowers as well as chemicals<br />

such as flavor, aroma and others (Xu et al. 2001).<br />

Characterization of taro plants now has started to be<br />

developed through two approaches. The diversity among<br />

the varieties can be distinguished based on morphological<br />

and molecular markers. Diversity based on morphological<br />

marker has a weakness, because the morphological<br />

characteristics do not necessarily indicate genetic diversity.<br />

Morphological diversity is influenced by the environment,<br />

because every environment has different conditions, so the<br />

plants do adapt to their home range.


8<br />

2 (1): 7-14, March 2010<br />

Molecular marker is an effective technique in genetic<br />

analysis of a plant variety. Molecular markers have been<br />

applied widely in plant breeding programs. Molecular<br />

marker that is often used to distinguish plant diversity is a<br />

marker of isozyme and DNA (Asains et al. 1995; Setyo<br />

2001). Isozyme is a direct product of genes and relatively<br />

free from environmental factors. Isozyme can be used as a<br />

genetic trait to study and identify the diversity of<br />

individuals or a cultivar. Isozymes were enzymes that have<br />

active molecules and different chemical structure, but<br />

catalyze the same chemical reaction. Different forms of an<br />

enzyme molecule can be used as the basis of chemical<br />

separation, by electrophoresis method will result in banding<br />

patternsproduced by different distances (Purwanto et al. 2002).<br />

Information about the genetic diversity of taro<br />

(Colocasia esculenta L.) is needed for plant breeding and<br />

improvement for the offsprings to obtain superior varieties.<br />

Based on the background, the research was conducted on<br />

taro plants in different areas in a region that had high<br />

altitude, medium and low that included morphological<br />

characters and isozyme banding patter pita on different<br />

varieties of taro plants in Karanganyar, Central Java.<br />

MATERIALS AND METHODS<br />

The experiment was conducted in March 2009 to<br />

August 2009. Taro plants (Colocasia esculenta L.) were<br />

collected from Karanganyar District, Central Java<br />

differentiated by differences in altitude, namely: (i) the<br />

highlands (> 1000 m asl), (ii) plain medium (500-1000 m<br />

asl), and (iii) Lowland (


TRIMANTO et al. – Characterization of taro based on morphological and isozyme markers 9<br />

Tabel 1. Environmental conditions where the growth of taro in Karanganyar.<br />

Locations/<br />

Subdistricts<br />

Type of taro<br />

Environmental factors<br />

Altitude Temp. Type of<br />

Shade<br />

(meter) (°C) soil<br />

In the dendrogram similarity coefficient of 60% was<br />

used to analyze the phylogenetic relationship of the 18<br />

samples found in different locations with 11 different<br />

varieties. According Cahyarini (2004) said the similarity<br />

distance away if less than 0.60 or 60%, so that separate<br />

groups at a distance of less than 0.60 still has a close<br />

resemblance. In this dendogram analysis, the number 1 or<br />

100% indicates that the group members have a perfect<br />

resemblance, while getting closer to the number 0 means<br />

the similarity distance farther.<br />

Benthul<br />

Dendogram analysis results showed that the Benthul<br />

taro of different height have the same morphological<br />

characteristics and have a high relationship. This is evident<br />

in the coefficient of 0.60 which was still in one group. But<br />

there was a tendency that Benthul of different heights<br />

showes different sizes, ranging from leaf size, plant height,<br />

stem and tuber. Benthul is commonly grown as a crop<br />

population between the rice fields and gardens, and<br />

allowed to grow without special treatment. Environmental<br />

factors such as temperature at any altitude, soil and<br />

availability of different light and water, thought to cause<br />

the size of the plants experience the difference. According<br />

to Park et al. (1997) and Djukri (2006) each deal with<br />

environmental stress of plants continues to do the<br />

adaptation, including changes in morphological<br />

characteristics and physiology.<br />

Benthul that grows in the highlands appear higher with<br />

habitus width, leaf midrib and stalk thin and big. This was<br />

observed in taro grown in ketinggianya more than 1500 m<br />

with high 22°C, and high rainfall reaches 2299 mm<br />

/±humidity, low temperature year. According to Basri<br />

Rainfall<br />

(mm/y)<br />

Cultivation<br />

Lowland<br />

Gondangrejo Benthul<br />

Mberek<br />

150<br />

150<br />

29<br />

29<br />

Grumosol<br />

Grumosol<br />

-<br />

-<br />

1537<br />

1537<br />

√<br />

-<br />

Jaten Kladi<br />

Linjik<br />

98<br />

98<br />

29<br />

29<br />

Aluvial<br />

Aluvial<br />

-<br />

√<br />

1680<br />

1680<br />

√<br />

√<br />

Karanganyar Lompongan 320 30 Mediteran - 2012 -<br />

Kebakkramat Plompong 95 29 Mediteran - 2012 √<br />

Plain medium<br />

Karangpandan Benthul<br />

Lompongan<br />

Sarangan<br />

Matesih Jabon<br />

Laos<br />

Linjik<br />

Plateau<br />

Tawangmangu Kladitem<br />

Benthul<br />

Lompongan<br />

650<br />

600<br />

650<br />

700<br />

750<br />

700<br />

28<br />

28<br />

28<br />

28<br />

27<br />

28<br />

Mediteran<br />

Mediteran<br />

Mediteran<br />

Litosol<br />

Litosol<br />

Litosol<br />

-<br />

√<br />

-<br />

-<br />

-<br />

√<br />

2818<br />

2818<br />

2818<br />

2480<br />

2480<br />

2480<br />

1500<br />

1700<br />

1500<br />

23<br />

22<br />

23<br />

Andosol<br />

Andosol<br />

Andosol<br />

√<br />

-<br />

√<br />

3299<br />

3299<br />

3299<br />

√<br />

√<br />

-<br />

Ngargoyoso Laos 1000 26 Andosol √ 3182 √<br />

Jatiyoso<br />

Sarangan<br />

Jepang<br />

1300<br />

1200<br />

26<br />

26<br />

Andosol<br />

Andosol<br />

-<br />

-<br />

3098<br />

3098<br />

√<br />

-<br />

√<br />

√<br />

√<br />

-<br />

√<br />

√<br />

(2002) plant growth is influenced by<br />

environmental factors. Altitude above 1500<br />

m cause gas and water vapor content<br />

(humidity) and the number of clouds<br />

blocking sunlight to the plants, so plants<br />

were capturing light by raising levels of<br />

chlorophyll and surface area. Taro plants<br />

tend to have broad leaves because of the<br />

availability of adequate water due to high<br />

rainfall in the area still support the optimum<br />

process in photosynthesis.±Low temperature<br />

22°C<br />

Benthul that grows in the lowlands tend<br />

to have narrower leaves and smaller and<br />

lighter bulbs. According to Menzel (1980)<br />

the temperature is too high may cause leaves<br />

to hinder the development of broad and<br />

narrow leaf photosynthetic rate high as a<br />

result reducing the weight of tuber. But<br />

when the temperature is too low to reach less<br />

than 10°C, the plant tissue can be damaged<br />

and an interruption of growth so the plants<br />

tend to be stunted.<br />

Lompongan<br />

Dendogram Lompongan relationship<br />

found in three different heights showed only<br />

the size difference. Broadly speaking taro<br />

from the highlands, medium and low still have the same<br />

morphological characteristics. Lompongan plants grow<br />

wildly around the edge of rice fields and waterways.<br />

Lompongan plants from the highlands have differences<br />

with the lowlands, such as: green leaf color is more<br />

concentrated, browner midrib color, and the size is larger.<br />

Unlike Lompongan plants in the highlands that were often<br />

found on the outskirts of the river with shade trees around<br />

it, the ones in the lowlands were found in around the edges<br />

of fields full of water. Environmental factors in the form of<br />

light, temperature and humidity cause the plants to have<br />

different adaptations. According to Taiz and Zeiger (1991),<br />

leaf surface area increased because of the shade, and color<br />

changes due to the increased levels of chlorophyll a and b.<br />

In the circumstances shaded light spectrum that is<br />

active in the process of photosynthesis (wavelength 400-<br />

700 nm) get decreased. Plants will make adjustments to<br />

streamline the capture of light energy that is by increasing<br />

leaf area, plant height and chlorophyll a and b (Lambers et<br />

al. 1998).<br />

Altitude causes humidity, light, temperature, and<br />

moisture content to vary. According to Fitter and Hay<br />

(1998) environmental factors were related one another so<br />

that the plant held a response to the environment. High<br />

water levels in the soil cause leaf’s cell turgor to increase<br />

which in turns causes leaf’s expansion. Reduced light<br />

causes the leaves to add the proportion of mesophyll tissue.<br />

Temperatures that were too high (> 40 ° C) cause defective<br />

enzyme and respiration is rapid, so the plants have stunted<br />

growth. The temperature is too low (


10<br />

2 (1): 7-14, March 2010<br />

Table 2. 18 samples of C. esculenta in Karanganyar district with<br />

characteristics<br />

Characteristics<br />

Varieties<br />

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18<br />

A. Type of plant<br />

1. Rentang tanaman<br />

1. Sempit - - - - - √ √ √ √ √ - - - - √ - - -<br />

2. Sedang - √ √ √ √ - - - - - √ √ √ √ - - - √<br />

3. Lebar √ - - - - - - - - - - - - - - √ √ -<br />

2. Tinggi tanaman<br />

1. Kerdil (< 50 cm) - - - - - √ √ √ - - - - - - √ - - -<br />

2. Sedang (< 50 cm) - √ √ √ √ - - - √ √ √ √ √ √ - - - -<br />

3. Tinggi (< 50 cm) √ - - - - - - - - - - - - - - √ √ √<br />

3. Jumlah stolon<br />

1. 1-5 buah - - - - - - - - √ √ - - - √ - √ √ √<br />

2. 6- 10 buah √ √ √ - - - - - - - √ √ √ - - - - -<br />

3. 11-20 buah - - - √ √ √ √ √ - - - - - - √ - - -<br />

4. Panjang stolon<br />

1. Pendek (15 cm) - - - √ √ - - - - - - - - √ - - √ -<br />

B. Cormus (umbi)<br />

1. Manifestasi cormus<br />

1. Ada √ √ √ - - - √ √ √ - - √ - √ √ √ - √<br />

2. Tidak ada - - - √ √ √ - - - √ √ - √ - - - √ -<br />

2. Panjang Cormus<br />

1. Pendek (± 8 cm) - - √ - - - √ √ - - - - - - - - √ -<br />

2. Sedang (± 12 cm) √ √ - - √ √ - - - - - - √ √ √ √ - -<br />

3. Panjang (± 18 cm) - - - √ - - - - √ √ √ √ - - - - - √<br />

3. Cabang cormus<br />

1. Bercabang - - - - - - √ √ - - - - - √ √ - - -<br />

2. Tidak bercabang √ √ √ √ √ √ - - √ √ √ √ √ - - √ √ √<br />

4. Bentuk cormus<br />

1. Kerucut √ √ √ - - - - - - - - - √ - - √ √ -<br />

2. Membulat - - - - - - - - - - - - - - - - - √<br />

3. Silindris - - - √ √ √ - - - - - - - - - - - -<br />

4. Memanjang - - - - - - - - √ √ √ √ - - - - - -<br />

5. Datar dan terbuka - - - - - - √ √ - - - - - √ √ - - -<br />

5. Berat cormus<br />

1. Ringan (± 0.5 kg) - - - - - - √ √ - - - - √ - - - √ -<br />

2. Sedang (± 2 kg) - - √ √ √ √ - - √ √ - - - √ √ √ - -<br />

3. Berat (± 4 kg) √ √ - - - - - - - - √ √ - - - - - √<br />

6. Warna korteks cormus<br />

1. Putih - - - - - - √ √ √ √ - - - √ √ √ - √<br />

2. Kuning-orange √ √ √ √ √ √ - - - - √ √ √ - - - √ -<br />

7. Warna daging tengah<br />

1. Putih - - - √ √ √ √ √ √ √ √ √ - √ √ √ √ √<br />

2. Kuning √ √ √ - - - - - - - - - - - - - - -<br />

3. Orange - - - - - - - - - - - - √ - - - - -<br />

8. Warna serat daging<br />

1. Putih - - - √ √ √ - - - - - - - √ - - √ √<br />

2. Kuning muda - - - - - - - - - - - - - - - √ - -<br />

3. Kuning-orange - - - - - - - - - - √ √ √ - √ - - -<br />

4. Merah √ √ √ - - - √ √ √ √ - - - - - - - -<br />

9. Permukaan kulit cormu<br />

1. Berserabut - - - √ √ √ - - - - √ √ - - - - √ -<br />

2. Bersisik - - - - - - √ √ √ √ - - √ - - √ - √<br />

3. Berserabut dan bersisik√ √ √ - - - - - - - - - - √ √ - - -<br />

10. Ketebalan kulit<br />

1. Tebal √ √ √ - - - - - √ √ - - √ √ √ - - -<br />

2. Tipis - - - √ √ √ √ √ - - √ √ - - - √ √ √<br />

11. Tingkat serabut<br />

1. Sedikit - - - √ √ √ √ √ - - - - - - - - √ -<br />

2. Banyak √ √ √ - - - - - √ √ √ √ √ √ √ √ - √<br />

12. Warna tunas<br />

1. Kuning hijau - - - - - - √ √ - - √ √ - √ √ √ √ -<br />

2. Merah muda √ √ √ √ √ √ - - √ √ - - - - - - - √<br />

3. Ungu - - - - - - - - - - - - √ - - - - -<br />

C. Daun<br />

1. Posisi daun dominan<br />

1. Mendatar - - - √ √ √ - - - - - - - - - - - -<br />

2. Mangkok √ √ √ - - - - - - - - - - - - - - √<br />

3. Tegak keatas - - - - - - √ √ - - - - - √ √ - - -<br />

4. Tegak kebawah - - - - - - - - √ √ √ √ √ - - √ √ -<br />

2. Tepi daun<br />

1. Penuh - - - - - - - - - - - - - √ √ - - -<br />

2. Bergelombang - - - √ √ √ - - √ √ - - √ - - √ √ -<br />

3. Berlekok-lekok √ √ √ - - - √ √ - - √ √ - - - - - √<br />

3. Warna Helai daun<br />

1. Hijau - - - √ √ √ √ √ √ √ √ √ - √ √ - - -<br />

2. Hijau tua √ √ √ - - - - - - - - - - - - √ √ √<br />

3. Ungu - - - - - - - - - - - - √ - - - - -<br />

4. Warna tepi helai daun<br />

1. Keputihan - - - - - - √ √ - - √ √ - - - √ - -<br />

2. Hijau - - - - - - - - - - - - - √ - - √ -<br />

3. Merah muda - - - - √ √ - - - - - - - - - - - -<br />

4. Ungu √ √ √ - - - - - √ √ - - √ - √ - - √<br />

5. Warna cairan ujung daun<br />

1. Keputihan - - - √ √ √ √ √ - - √ √ - - √ √ √ -<br />

2. Kuning - - - - - - - - - - - - - √ √<br />

3. Merah muda √ √ √ - - - - - √ √ - - - - - - - -<br />

4. Merah tua - - - - - - - - - - - - √ - - - - -<br />

6. Warna utama tulang daun<br />

1. Kuning - - - - - - √ √ - - - - - - √ √ - -<br />

2. Hiaju - - - - - - - - √ √ √ √ - √ - - √ √<br />

3. Merah muda √ √ √ - - - - - - - - - - - - - - -<br />

4. Ungu - - - √ √ √ - - - - - - √ - - - - -<br />

7. Pola utama tulang daun<br />

1. Bentuk Y √ √ √ √ √ √ √ √ - - √ √ - √ √ √ √ √<br />

2. Bentuk Y meluas - - - - - - - - √ √ - - √ - - - - -<br />

8. Warna petiole<br />

Sepertiga atas<br />

1. Kuning - - - - - - √ √ - - - - - √ √ √ - -<br />

2. Hijau muda - - - - - - - - - - √ √ - - - - √ -<br />

3. Cokelat √ √ √ - - - - - √ √ - - - - - - - -<br />

4. Ungu - - - √ √ √ - - - - - - √ - - - - √<br />

Sepwertiga bawah<br />

1. Kuning - - - - - - - - - - - - - √ - - - -<br />

2. Hijau muda - - - - - - √ √ - - √ √ - - √ √ √<br />

3. Cokelat √ √ √ √ √ √ - - √ √ - - - - - - - √<br />

4. Ungu - - - - - - - - - - - - √ - - - - -<br />

9. Warna garis petiole<br />

1. Hijau - - - - - - √ √ - - √ √ - √ √ - √ -<br />

2. Ungu √ √ √ √ √ √ - - √ √ - - √ - - √ - √<br />

10 Irisan melintang bawa<br />

1. Terbuka √ √ √ √ √ √ - - √ √ √ √ √ √ √ √ - √<br />

2. Tertutup - - - - - - √ √ - - - - - - - - √ -<br />

11. Warna cincin petiole<br />

1. Putih - - - √ √ √ - - - - √ √ - - - - - -<br />

2. Kuning kehijauan - - - - - - - - - - - - - √ √ √ √ -<br />

3. Merah muda √ √ √ - - - √ √ √ √ - - - - - - - √<br />

4. Ungu - - - - - - - - - - - - √ - - - - -<br />

12. Warna pelepah daun<br />

1. Keputihan - - - - - - √ √ - - - - - - - - - -<br />

2. Hijau muda - - - - - - - - - - √ √ - √ √ √ √<br />

3. Merah Keunguan √ √ √ √ √ √ - - √ √ - - √ - - - - √<br />

13. Lapisan lilin<br />

1. Tidak ada - - - - - - - - √ √ - - √ - - - - -<br />

2. Rendah √ √ √ - - - √ √ - - √ √ - - - - √ -<br />

3. Sedang - - - √ √ √ - - - - - - - √ √ - - -<br />

4. Tinggi - - - - - - - - - - - - - - - √ - √


TRIMANTO et al. – Characterization of taro based on morphological and isozyme markers 11<br />

Note: 1. Benthul (plateau), 2. Benthul (plain medium), 3.Benthul<br />

(lowlands), 4. Lompongan (plateau), 5.Lompongan (plain medium),<br />

6. Lompongan (lowlands), 7. Laos (plateau), 8. Laos (plain<br />

medium), 9. Linjik (plain medium), 10. Linjik (lowland), 11.<br />

Sarangan (plateau), 12. Sarangan (plain medium), 13. Kladitem<br />

(plateau), 14. Plompong (lowland), 15. Kladi (lowland), 16. jabon<br />

(plain medium), 17. Mberek (lowland), 18. Japan (plateau).<br />

Figure 1. Dendogram relationship 18 samples of C. esculenta<br />

from three different heights based on morphological characters.<br />

Description: No. 1-18 same as Table 2.<br />

Characterization of isozyme taro<br />

Peroxidase<br />

Results with the dye peroxidase isozyme analysis,<br />

shikimate dehydrogenase and esterase can be seen in<br />

Figure 2. Peroxidase in 18 samples of C. esculenta tested to<br />

form 14 different banding pattern. Banding pattern I with<br />

migration distance (Rf) 0586, 0630, 0717, 0761 and 0804<br />

being owned by the sample 1. Banding pattern II with Rf<br />

0586, 0717, 0761 and 0804 were owned by the sample 2<br />

and 3. Banding pattern III is owned by sample 5 with Rf<br />

0630, 0739, 0782 and 0826. Banding pattern IV with Rf<br />

0630, 0739, 0782 owned by samples 4 and 6. Banding<br />

pattern V with Rf 0652, 0739, 0782 and 0874 were owned<br />

by the sample 7 and 8. Rf banding pattern VI 0652, 0739,<br />

0782 and 0869 were owned by the sample 9 and 10.<br />

Banding pattern VII with Rf 0565, 0717 0739 and 0847<br />

held by the sample 11. Banding pattern VIII with Rf 0565,<br />

0717 0739 owned by sample 12. IX banding pattern with a<br />

distance of 0630 and 0739 held by the sample 13. Banding<br />

pattern X with Rf 0630 and 0739 held by the sample 14. XI<br />

banding pattern with a distance of 0630, 0739, and 0804 is<br />

owned by the sample 15. XII banding pattern with a<br />

distance of 0630, 0739, and 0826 is owned by the sample<br />

16. XIII banding pattern with a distance of 0630, 0717 and<br />

0761 held by the sample 17. Banding pattern XIV with Rf<br />

0607, 0652 and 0.761 were owned by the sample 18.<br />

Shikimate dehydrogenase<br />

Isozyme analysis results with dye shikimate<br />

dehydrogenase (ShDH) on 18 samples of C. esculenta<br />

tested to form 15 different banding pattern. Banding pattern<br />

I with Rf 0523, 0568, and 0863 is owned by the sample 1.<br />

Banding pattern II with Rf 0523, 0568, 0614 and 0863<br />

were owned by the sample 2 and 3. Banding pattern III<br />

with Rf 0523, 0568, 0614 and 0840 were owned by the<br />

sample 4. Banding pattern IV with Rf 0500, 0523, 0568,<br />

0614 and 0840 were owned by samples 5 and 6. Banding<br />

pattern V with Rf 0568 and 0840 were owned by the<br />

sample 7 and 8. Banding pattern VI with Rf 0523 and 0840<br />

held by the sample 9. Banding pattern VII with Rf 0500,<br />

0523 and 0840 were owned by the sample 10. Banding<br />

pattern VIII with Rf 0523 and 0818 held by the sample 11.<br />

Banding pattern IX with Rf 0500, 0523 and 0818 were held<br />

by the sample 12. Banding pattern X with Rf 0416, 0432,<br />

0523, 0795 owned by sample 13. Banding pattern of Rf<br />

0500 XI, 0523, 0727 and 0750 were owned by the sample<br />

14. XII banding pattern of Rf 0523, 0546, 0581 and 0818<br />

held by the sample 15. Banding pattern XIII with Rf 0523,<br />

0546, 0568 and 0795 held by the sample 16. Banding<br />

pattern XIV with Rf 0500, 0546, and 0795 was owned by<br />

the sample 17. Banding pattern XV with Rf 0546, 0568 and<br />

0795 were held by the sample 18.<br />

Esterase<br />

Results with the dye esterase isozyme analysis on 18<br />

samples of C. esculenta were tested forming 11 different<br />

banding patterns. Banding pattern I with Rf the same but<br />

having different shapes, and shown at Rf 0.22, 12:26 and<br />

12:32 were owned by the sample 1, 2 and 3 (quantitative<br />

and qualitative). Banding pattern II with Rf 0.20, 0:28, 0:32<br />

and 0.36 were owned by the sample 4, 5 and 6 (quantitative<br />

and qualitative). Banding pattern III with Rf 0:30, 0:34,<br />

0:38, 0:40 was owned by the sample 7 and 8 (quantitative<br />

and qualitative). Banding pattern IV with Rf 0.20, 0:30,<br />

0:34, 0:38 and 0:44 is owned by the sample 9 and 10.<br />

Banding pattern V with Rf 0.20, 12:26 and 12:38 were<br />

owned by the sample 11 and 12 (quantitative and<br />

qualitative). VI banding pattern was owned by the sample<br />

13 with Rf 0.20, 0:28, 0:30, 0:46, 0:48. Banding pattern VII<br />

owned by the sample 14 with Rf 0.20, 0.26, 0:30, 0:34.<br />

VIII banding pattern VIII was owned by the sample 15<br />

with Rf 0.20, 0.26, 0:30, 0:36. Banding pattern IX was<br />

owned by the sample 16 with Rf 0.20, 0:22, 0:26, 0:32.<br />

Banding pattern X was owned by the sample 17 with Rf<br />

0.20, 0.24, 0:32 and banding pattern XI with Rf 0.20, 12:28<br />

and 12:32 were owned by the sample 18.<br />

Similarity on taro genetics based on isozyme markers<br />

Genetic similarity between samples can be tested using<br />

cluster analysis (group average analysis), which results in<br />

the form dendogram or tree diagram. The end result is a<br />

dendogram of relationship were tested by three different<br />

enzymes (peroxidase, shikimat dehydroginase, and<br />

esterase) (Figure 3).<br />

Election peroxidase has advantages including: a broad<br />

spectrum and has a very important role in the process of<br />

plant physiology. This enzyme can be isolated and<br />

scattered in the cell or plant tissue, especially in plant<br />

tissues that had been developed (Butt 1980; Hartati 2001).<br />

Shikimate dehydrogenase (ShDH) is an enzyme which<br />

spread to most living things. Shikimate dehydrogenase<br />

involved in oxidoreductase that catalyzes NADP +<br />

shikimate into three main products dehydroshikimate +<br />

NADPH+H + . At the plant, esterase is a hydrolytic enzyme<br />

that functions to withhold simple esters in organic acids,<br />

inorganic acids and phenols and alcohols have low<br />

molecular weight and easily soluble.


12<br />

2 (1): 7-14, March 2010<br />

A B C<br />

Figure 2. The variation of 18 isozyme banding pattern of sample C. esculenta from three different heights. Description: a. Banding<br />

pattern of peroxidase, b. Shikimate dehydrogenase banding pattern, c. Esterase banding pattern. No. 1-18 same as Table 2.<br />

A B C<br />

Figure 3. Relationship dendogram 18 samples of C. esculenta from three different heights based on isozyme banding pattern. A.<br />

peroxidase, B. shikimate dehydrogenase, c. Esterase. No. 1-18 same as Table 2.<br />

Results dendogram relationship between the use of<br />

peroxidase enzymes, shikimate dehydrogenase and esterase<br />

showed generally taro of the same variety have the same<br />

banding pattern, although from different locations<br />

ketinggianya, so that enzymatically still have a high<br />

relationship, since it is estimated the same parent. On a<br />

different taro varieties tend to have a different banding<br />

pattern. Formation of the group between the use of<br />

esterase, peroxidase and shikimate dehydrogenase gave<br />

different relationship relations, but in one variety is<br />

generally joined in one group at a distance of more than<br />

60% similarity, although originating from different<br />

locations’ height.<br />

Esterase formed seven groups which were of more than<br />

60% similarity between one another, where there were taro<br />

who joined another group. Jabon formed a group with<br />

Plompong which were of 0.80 similarity. Kladi formed a<br />

group with Plompong at a distance of 0.75 similarities.<br />

Lompongan joined with Japan at a distance of 0.70<br />

similarities. Laos and Linjik form one group at a distance<br />

of 0.67 similarity. Even when they are different taro<br />

varieties butwhen they form one group, they still have a<br />

high genetic relationship.<br />

Peroxidase also formed seven groups. In general, in a<br />

variety of taro is still present in one group even though<br />

planted in different locations altitude place. Peroxidase<br />

formed a different group variation taro with esterase. In<br />

peroxidase, Laos and Linjik in one group that were of 0.75<br />

similarity. Plompong and Kladi form one group, but Jabon<br />

joined at a distance of 0.70 similarity. Lompongan and<br />

Kladitem form one group at a distance of 0.75 similarity.<br />

Peroxidase added information that was not the presence of<br />

new groups formed on the use of esterase.<br />

Shikimate dehydrogenase provided the formation of<br />

different groups of taro with esterase and peroxidase. In<br />

shikimate dehydrogenase,formed three groups originating<br />

from different varieties, but it formed one group that was of<br />

more than 60% similarity. Lompongan and Benthul joined<br />

at 0.65 similarity distance. Kladi joined Sarangan at a<br />

distance of 0.62 similarity. Mberek and Japan formed one<br />

group that was of 0.67 similarity.<br />

The use of different enzymes gave results in different<br />

groups, although there is formation of the same group with


TRIMANTO et al. – Characterization of taro based on morphological and isozyme markers 13<br />

a different enzyme’s use. The use of different enzyme will<br />

complement the formation of groups of different taro<br />

varieties. The genetic pattern of bands that formed in the<br />

use of enzymes is the expression of taro varieties in<br />

question. With a specific enzyme that cannot afford some<br />

taro that express ribbon patterns, but with other enzymes<br />

can express ribbon patterns. So that more types of enzymes<br />

used then it will complete the formation of groups on<br />

varieties of taro.<br />

Results dendogram through morphological markers and<br />

isozyme banding pattern shows the difference. From the<br />

morphological marker of the 11 varieties, obtained taro<br />

formed 10 groups at a distance of 0.60 similarity. Different<br />

taro varieties, most will form a separate group means<br />

morphologically different taro varieties have different<br />

morphological characteristics. Talas who formed a group<br />

on the analysis of relationship is Kladi and Plompong.<br />

When the isozyme was used, more groups were<br />

formed, this means that between the different taro varieties<br />

there is still a high relationship. If the different varieties of<br />

taro belong to one group with a distance of close to 1 it is<br />

possible that the similarity comes from the older of taro.<br />

Environmental factors affect plant morphology, if the<br />

environmental factor is more dominant than genetic factors,<br />

the plant will experience a change in morphology (Suranto<br />

1999, 2001). In the long term it is possible crop genetic<br />

trait changes in her body. Plants that were stressed<br />

environment would be possible to have mutations, so that<br />

in the long term can happen speciation.<br />

New types were also possible as a result of<br />

hybridization, so having a close relationship with both of<br />

the parent species. The property of taro which has a close<br />

relationship is what can be used to search for a superior<br />

taro through crossbreeding. Some taros found in<br />

Karanganyar were a wild taro. Wild Taro and of likely no<br />

benefit are possibly to have genetic traits that superior, so<br />

that the hybridization process to obtain high yielding<br />

varieties can be applied.<br />

Generative breeding of taro is naturally difficult to<br />

occur because the male and female flowersg et mature at<br />

different times and a new flowering occurs after more than<br />

6 months of age. Many plants are not considered going<br />

through a flowering because the flowering process is too<br />

long. Many cultivated plants are harvested before<br />

adulthood, so many plants are difficult to perform in a<br />

generative breeding.<br />

Characterization of taro plants through morphological<br />

marker is more easily done, by observing external nature,<br />

taro plants can be assumed to have superior properties. But<br />

genetic markers also play an important role because it is<br />

more fundamental and is not influenced environment. Data<br />

morphology and isozyme banding pattern on taro plants in<br />

Karanganyar can be used in addition to the identification of<br />

the food plant breeding efforts.<br />

Characterization relations of morphology and isozyme<br />

The correlation between genetic distance based on<br />

morphological markers and similarity based on isozyme<br />

banding pattern were analyzed based on product-moment<br />

correlation coefficient with the criteria of goodness of fit<br />

according to Rohlf (1993). Result of calculation correlation<br />

between genetic distance based on morphological markers<br />

and genetic similarity based on isozyme banding pattern<br />

showed that between morphology and isozyme has a good<br />

correlation and a very good (Table 4). Correlation between<br />

morphological data and isozyme banding pattern of<br />

peroxidase, esterase, and shikimate dehydrogenase,<br />

respectively, also were on the value of 0.893542288,<br />

0.917557716, 0.9121985446. This shows the<br />

characterization of taro based on morphological markers<br />

consistent with isozyme banding pattern, so that the<br />

isozyme data support the morphological data.<br />

Diversity is difficult to observe the morphological<br />

marker would be more accurate if you have the genetic<br />

markers such as isozymes. Morphological characters that<br />

were equipped with the character of isozyme banding<br />

pattern adds accuracy of the data to identify plant diversity.<br />

Isozyme has advantages because it requires little sample of<br />

the plant, were not inhibited during plant dormancy, can be<br />

used to perform characterization of the plant in very much.<br />

Table 4. Relationships and morphological characterization<br />

characterization results based on isozyme banding pattern<br />

Characters that correlated Level Criteria<br />

Morphology and POD 0.893542288 good<br />

Morphology and EST 0.917557716 very good<br />

Morphology and ShDH 0.9121985446 very good<br />

The relationships of taro plants obtained from places of<br />

different heights can be made into a dendogram between<br />

morphology and marker pattern of the isozyme’s ribbon.<br />

Dendogram based on morphological markers and isozyme<br />

banding pattern of peroxidase, shikimate dehydrogenase,<br />

and esterase showed that taro with the same type from a<br />

different altitude did not show any difference at a distance<br />

of 60% similarity. Of the eighteen samples were divided<br />

into 10 groups. Each taro with the same type, although<br />

located in different places still reflect the height of high<br />

relationship. This proved that taro plants of the same type<br />

belonged to a single group.<br />

Figure 4. Dendogram relationship 18 samples of C. esculenta<br />

from three different heights based on morphological markers and<br />

isozyme banding pattern of peroxidase, esterase, and shikimate<br />

dehydrogenase. Description: No. 1-18 same as Table 2.


14<br />

2 (1): 7-14, March 2010<br />

Taro varieties which become one group is based on<br />

morphological markers and isozyme banding pattern,<br />

where the isozyme banding pattern supports the<br />

morphological data. This is evident in samples 1, 2, 3, ie<br />

Bentul from three different height locations which join one<br />

group. Other evidence were sample 4, 5 and 6, which were<br />

from three different altitude sites that also formed one<br />

group. This indicated that the isozyme data support the<br />

morphological data, so as to identify the plant in addition to<br />

morphological data, isozyme data is also needed to increase<br />

the accuracy of the data. There were varieties of taro which<br />

have a a close relationship that are Kladi and Plompong<br />

that have a high relationship when viewed from the merger<br />

with its isozyme morphological characteristics, both were<br />

at the coefficient of 0.68. Allegedly the two taro plants<br />

have elders who have a high kindship, because almost the<br />

same its relation of morphology and isozyme almost the<br />

same. From the characterization results obtained that has a<br />

relationship Kladi and Plompong highest compared with<br />

other varieties of taro. Taro with different varieties formed<br />

their own groups at a distance of 60% similarity. This<br />

means that at a distance of 60% of all varieties of taro had<br />

different characters.<br />

CONCLUSION<br />

There is a diversity of morphological characters in 18<br />

samples of taro plants (Colocasia esculenta L.) that grow in<br />

Karanganyar. Taro is still in one variety that is at different<br />

height diversity appears only on the size of the vegetative<br />

plant. The results showed isozyme banding pattern of the<br />

variability in isozyme banding pattern of peroxidase,<br />

esterase and shikimate dehydrogenase in taro varieties<br />

found in different locations. Characterization of taro based<br />

on morphological markers is consistent with the<br />

characterization based on isozymes. Isozyme data support<br />

the morphological character data.<br />

REFERENCES<br />

Aboubakar YN. Njintang, Scher J, Mbofung CMF. 2008.<br />

Physicochemical, thermal properties and microstructure of six<br />

varieties of taro (Colocasia esculenta L. Schott) flours and starches. J<br />

Food Engineer 86 (2): 294-305.<br />

Aprianita A, Purwandari U, Watson B, Vasiljevic T. 2009. Physicochemical<br />

properties of flours and starches from selected commercial<br />

tubers available in Australia. Intl Food Res 16: 507-520.<br />

Basri H. 2002. Agroecology; a physiological approach. Raja Grafindo<br />

Persada. Jakarta. [Indonesia]<br />

Butt VS. 1980. Direct oxidases and related enzymes. In: Stumpf PK, Cohn<br />

EE (eds). The biochemistry of plants. Vol. 2. Academic Press. New<br />

York.<br />

Cahyarini RD, Yunus A, Purwanto E. 2004. Identification of the genetic<br />

diversity of some local soybean varieties in Java based on isozyme<br />

analysis. [Thesis]. School of Graduates, Sebelas Maret University.<br />

Surakarta. [Indonesia]<br />

Djukri. 2006. The plant characters and corm production of taro as catch<br />

crop under the young rubber stands. <strong>Biodiversitas</strong> 7 (3): 256-259.<br />

[Indonesia]<br />

Fitter AH, Hay RKM. 1998. Environmental physiology of plants. Gadjah<br />

Mada University Press. Yogyakarta<br />

Hartati S, Prana T. 2001. Analysis of starch and crude fiber content of<br />

flour several taro cultivars (Colocasia esculenta L. Schott). J Natur<br />

Indonesia 6 (1): 29-33. [Indonesia]<br />

Kusumo S, Hasanah M, Moeljopawiro S, Thohari M, Subandriyo,<br />

Hardjamulia A, Nurhadi A, Kasim H. 2002. Panduan Karakterisasi<br />

dan Evaluasi Plasma Nutfah Talas. Komisi Nasional Plasma Nutfah,<br />

Badan Penelitian dan Pengembangan Pertanian, Departemen<br />

Pertanian. Jakarta. [Indonesia]<br />

Lee MH, Lin YS, Lin YH, Hsu FL and Hou WC. 2003. The mucilage of<br />

yam (Dioscorea batatas Decne) tuber exhibited angiotensin<br />

converting enzyme inhibitory activities. Bot Bull Acad Sinica 44:<br />

267-273.<br />

Liu Q, Donner E, Yin Y, Huang RL and Fan MZ. 2006. The<br />

physicochemical properties and in vitro digestibility of selected<br />

cereals, tubers, and legumes grown in China. Food Chem 99: 470-<br />

477.<br />

Louwagie G, Stevenson CM, Langohr R. 2006. The impact of moderate to<br />

marginal land suitability on prehistoric agricultural production and<br />

models of adaptive strategies for Easter Island (Rapa Nui, Chile) . J<br />

Anthropol Archaeol 25 (3): 290-317.<br />

Menzel CM. 1980. Tuberization in potato Solanum tuberosum cultivar<br />

Sebago at high temperatures: responses to gibberellins and growth<br />

inhibitors. Ann Bot 46: 259-266<br />

Nagai T, Suzuki N and Nagashima T. 2006. Antioxidative activity of<br />

water extracts from the yam (Dioscorea opposita Thunb.) tuber<br />

mucilage tororo. Eur J Lipid Sci Tech 108: 526-531.<br />

Purwanto E, Sukaya, Merdekawati P. 2002. Study on germplasm diversity<br />

of pummelo at magetan East Java based on isozyme markers).<br />

Agrosains 4 (2): 50-55. [Indonesia]<br />

Rekha MR, Padmaja G. 2002. Alpha-amylase inhibitor changes during<br />

processing of sweet potato and taro tubers. Plant Food Human Nutr<br />

52: 285-294.<br />

Rohlf FJ. 2005. NTSYS-pc: numerical taxonomy and multivariate<br />

analysis system, version 2.2. Exeter Software: Setauket, NY<br />

Suranto. 1991. Studies of population variation in species of Ranunculus.<br />

[Thesis]. Departement of Plant Science, University of Tasmania.<br />

Hobart, Australia.<br />

Suranto. 2001. Study on Ranunculus population: isozymic pattern.<br />

<strong>Biodiversitas</strong> 2 (1): 85-91.<br />

Taiz L, Zeiger E. 1991. Plant physiology. Benyamin/Cumming. Tokyo.<br />

Xu J, Yang Y, Pu Y, Ayad WG, Eyzaguirre PB. 2001. Genetic diversity in<br />

Taro (Colocasia esculenta Schott, Araceae) in China: an<br />

ethnobotanical and genetic approach. Econ Bot 55 (1): 14-31.


Vol. 3, No. 1, Pp. 15-22<br />

March 2011<br />

<strong>ISSN</strong>: <strong>2087</strong>-<strong>3940</strong> (print)<br />

<strong>ISSN</strong>: <strong>2087</strong>-<strong>3956</strong> (electronic)<br />

Study on floristic and plant species diversity in the Lebanon oak (Quercus<br />

libani) site, Chenareh, Marivan, Kordestan Province, western Iran<br />

HASSAN POURBABAEI ♥, SHIVA ZANDI NAVGRAN<br />

Determent of Forestry, Faculty of Natural Resources, University of Guilan, Somehsara, P.O.Box 1144, Tel.: +98-182-3220895, Fax.: +98-182-3223600,<br />

♥ E-mail: h_pourbabaei@guilan.ac.ir<br />

Manuscript received: 28 Augustus 2010. Revision accepted: 4 October 2010.<br />

Abstract. Pourbabaei H, Navgran SZ. 2011. Study on floristic and plant species diversity of the Lebanon oak site (Quercus libani) in<br />

Chenareh, Marivan, Kordestan Province, western Iran. Nusantara Bioscience 3: 15-22. In order to study floristic and plant species<br />

diversity, approximately 450 ha of oak forests were selected in Chenareh, Marivan of Kordestan province in western Iran. Inventory was<br />

selectively carried out in 50 m elevation range in the different aspects. Vegetation was surveyed in the four layers including: tree (dbh<br />

>5 cm), regeneration (dbh 5 cm), regenerasi (dbh


16<br />

3 (1): 15-22, March 2011<br />

affect on the natural regeneration of Pistacia species, that<br />

is, the seedlings of Pistacia species would be protected<br />

under the spiny bushes of Amygdalus species.<br />

The Zogros mountains are divided into two parts:<br />

northern and southern. The northern Zagros is consisted of<br />

the growing site of Quercus infectoria Oliv. and also<br />

Q.libani Oliv. and Q.persica J. & Sp. (Q.brantii Lindl.)<br />

species are found in this part. However, the southern<br />

Zagros is included Q.persica site which it extended to Fars<br />

province (i.e., 29º 5´ N). The northern Zagros is wetter and<br />

cooler than the southern one. The dispersion areas of<br />

Lebanon oak (Q.libani) are mostly restricted to central and<br />

eastern mountains of Tavrous and Amanous of Anatolia in<br />

Turkey, the mountains of northeastern of Iraq and<br />

northwestern of Syria and western part of Iran (i.e.,<br />

Kordestan province) (Browicz 1994). In addition, this<br />

species is found over 1000 m asl elevation and the best<br />

conditions range from 1200 to 1600 even to 1800 m asl to<br />

growing it, and also this species is found higher than 2000<br />

m asl elevation in Ahir dagi and Herakol dagi mountains in<br />

southern Anatolia, Turkey. Western borderline of this<br />

species is located in the Goniah province in Anatolia and<br />

northern borderline restricted to latitude 40ºN in Erzincon<br />

province in Turkey (Davis 1982). In flora of Iraq, the<br />

distribution area of this species was cited in central regions<br />

of Iraq forests, north of Syria, Palestinian, Turkey and Iran<br />

on hillsides on the metamorphic and igneous rocks and on<br />

loam soils, and elevation ranges from 1800 to 2000<br />

(occasionally 2100) m asl (Townsend and Guest 1980) . In<br />

Iran, the distribution of this species is restricted to<br />

highlands of Sardasht in Kordestan and Euromiah<br />

provinces, and horizontal distribution is from north of<br />

Sardasht to south of Marivan in Kordestan province and<br />

vertical distribution is from 1400 to 2150 m asl elevation<br />

(Fattahi 1994). This species is situated in latitude from 25º<br />

to 36º N and longitude from 45º to 46º E and is grown cold<br />

humid, cold sub humid or humid climates. The pure type of<br />

this species is found in highlands and the mixed one mostly<br />

found associated with Q.infectoria and Q.brantii species.<br />

This species is in relation to soil and climatic conditions.<br />

The forests of this species are found as high and coppice<br />

forms, and the species covers 106316 ha area in western<br />

Iran of which 83844 is located in the Kordestsn province<br />

(Fattahi 1994).<br />

There are numerous studies in relation to floristic<br />

composition all over the world (e.g., Andel 2001; Nebel et<br />

al. 2001; Ipor et al. 2002; Blanckaert et al. 2004; Wardell-<br />

Johnson et al. 2004; Ramírez et al. 2007; Cayuela et al.<br />

2008; Gole et al. 2008; Macía 2008; El-Ghanim et al. ,<br />

2010; Figueroa et al. , 2011). In addition, plant species<br />

diversity has been assessed in forest ecosystems in recent<br />

decades (e.g., Brockway 1998; Pitkänen 1998; Khera et al.<br />

2001; Ashton and Macintosh 2002; Aubert et al. 2003;<br />

Nagaike 2003; Jobidon et al. 2004; Chiarucci and Bonini<br />

2005; Pant and Samant 2007; Aparicio et al. 2008; Macía<br />

2008; Pe´rez-Ramos 2008; Hayat et al. , 2010). Whereas<br />

there is less studies about plant species diversity in Zagros<br />

forest ecosystems (Mirzaei et al. 2008; Pourbabaei et al. ,<br />

2010).<br />

The aim of this study was to determine floristic<br />

composition and plant species diversity in the Lebanon oak<br />

site in Kordestan province of Iran.<br />

MATERIALS AND METHODS<br />

Study area<br />

The study area is located in Marivan city of Kordestan<br />

province in western Iran, and Chenareh is situated 25 km<br />

from northwestern Marivan city (35° 29′ to 35° 45′ N<br />

latitude, 46° 14′ to 46° 29′ W longitude). Mean annual<br />

precipitation is 909.5 mm, ranging from 590.8 to 1422.2<br />

mm (Figure 1).<br />

Kordestan<br />

Chenareh forest<br />

Marivan City<br />

Figure 1. Study site maps Chenareh’s forests (blank circle) in Marivan District, Kordestan Province, IR Iran.


POURBABAEI & NAVGRAN – Plant species diversity of Chenareh forest 17<br />

Mean annual temperature is 13.3º C, and the length of<br />

dry season is 4 month (based on embrothermic curve) from<br />

June to August. Type of climate is sub humid with cold<br />

winters in the basis of Emberger’s formula (Department of<br />

Forestry 2002). Edaphically, soils consist of developed<br />

brown (calciferous and eutroph), deep and semi deep, and<br />

young soils consisting of litho sol and colluvium which<br />

often are less deepness and shallow. Quercus brantii<br />

community are predominantly found on calcico brown<br />

soils, and Q.libani community often found on eutroph<br />

brown soils.<br />

The research was conducted in 450 ha of Chenareh’s<br />

forests where included Lebanon oak and altitude ranges<br />

from 1500 to 1800 m asl These forests are located steep<br />

areas, and slope is more than 50% in the most area. Main<br />

aspects of these forests are northern and southern. These<br />

forests have been under anthropogenic disturbances in the<br />

past, therefore they are considered as manipulated forests<br />

now.<br />

Sampling<br />

At first, oak site was quantified on the map with<br />

1:50000 scale with surveying forests. Inventory was<br />

selectively carried out in 50 m elevation range from 1500<br />

m to 1800 m asl in the different aspects in the basis of<br />

distribution of Lebanon oak population. Sampling plot area<br />

was 1000 m 2 in size and circular (Zobeiri 1994). In total,<br />

42 sampling plots were made. At each plot, diameter at 1.3<br />

m (DBH) of tree ≥ 5 cm was measured and identified (high<br />

and coppice origin), and crown diameters (i.e., large and<br />

small) of regeneration with DBH < 5 cm were measured.<br />

For shrub species, the number of individuals were recorded<br />

and identified. To collect herbaceous data, nested plot<br />

sampling was performed at center the plot (Muller-<br />

Dombois 1974), and minimal area ranged from 32 to 1000<br />

m 2 in the basis of different altitudes. Cover percentage was<br />

visually estimated, as accurately as possible, for each<br />

herbaceous species in the nested plots, and type of species<br />

was identified in the Herbarium of Faculty of Natural<br />

Resources, University of Guilan.<br />

Data analysis<br />

Species richness (total number of species present) and<br />

evenness (the manner in which abundance is distributed<br />

among species) are the two principal components of<br />

diversity. Species richness is frequently characterized by<br />

the number of species present (S), Margalef species<br />

richness (R 1 ) and Menhinick species richness (R 2 ) (Ludwig<br />

and Reynolds 1988). In this study, Smith and Wilson’s<br />

evenness index (E var ) was applied to calculate evenness<br />

measures (Krebs 1999). Diversity indices combine species<br />

richness and evenness components into a single numeric<br />

value. The most commonly used indices of diversity,<br />

Simpson (1-D) and Shannon-Wiener (H′) were used in this<br />

study (Magurran 2004). Moreover, Hill’s N 2 and<br />

McArthur’s N 1 were calculated in the basis of these indices<br />

(Krebs 1999). Vegetation data were analyzed in four layers<br />

(i.e., tree, regeneration, shrub and herb) using richness,<br />

evenness and diversity indices. In tree layer, DBH was<br />

converted to basal area (m 2 ) for each individual tree and<br />

summed for each species, and then substituted for the<br />

number of individuals in the diversity formula.<br />

Furthermore, crown cover area (m 2 ) was computed for each<br />

regeneration species and applied the formula. Data analyses<br />

were performed using Ecological Methodology and SPSS<br />

13.0 software (Krebs 1999; Kinnear 2001).<br />

RESULTS AND DISCUSSION<br />

Floristic composition<br />

A total of 82 plant species were found in the studied<br />

area, of which 12 woody species (9 trees, 3 shrubs) and 70<br />

herbaceous species existed (Table 1) while 4 trees, 3<br />

shrubs, one bush and 78 herbaceous species were identified<br />

in Ilam forests of Zagros (Pourbabaei et al. 2010).<br />

Therefore, it is concluded that tree richness is high in the<br />

studied area. Also, it can be deduced from Table 1 that<br />

Rosaceae and Fagaceae families play an important role in<br />

among woody species. Moreover, Asteraceae and Poaceae<br />

families were most abundant amongst herbaceous species.<br />

In addition, results were revealed that the Asteraceae<br />

family was dominant in Ilam forests of Zagros (Pourbabaei<br />

et al. 2010).<br />

The number of plant species was considerable in the<br />

studied area when compare with northern Zagros<br />

mountains since there is 165 woody species (tree and<br />

shrub) in Zagros and 182 bush and herbaceous species only<br />

in northern Zagros (Jazirehi and Rostaghi 2003). The<br />

highest richness of woody species belong to Fagaceae and<br />

Rosaceae and the highest richness of herbaceous species<br />

belong to Asteraceae and Poaceae families in the studied<br />

area, these results were confirmed in the Zagros zone<br />

(Jazirehi and Rostaghi 2003).<br />

Plant diversity based on different aspects<br />

Plant species diversity of four growth layers was<br />

obtained in terms of different aspects. The highest and<br />

lowest population of Lebanon oak was found in eastern<br />

(32%) and northwestern (24%) aspect, respectively. Figure<br />

1 displays mean tree (high and coppice forms) diversity in<br />

the basis of different aspects.<br />

The mean diversities were highest in southwestern and<br />

lowest in southeastern and northern aspects in the tree<br />

layer. The ANOVA test indicated that there were no<br />

significant differences amongst mean diversity measures in<br />

the different aspects (P > 0.05). Figure 3. displays mean<br />

tree richness, Margalef (R 1 ) and Menhinick (R 2 ) and<br />

evenness measures in the different aspects.<br />

The mean richness, R 1 and R 2 measures were highest in<br />

southwestern, and lowest in southeastern and northern<br />

aspects, respectively. The mean E var was the highest in<br />

southeastern and lowest in northeastern aspect. The<br />

Kruskal-Wallis test showed that there were no significant<br />

differences amongst mean richness values in the different<br />

aspects. Whereas, the ANOVA test indicated that there<br />

were significant differences amongst mean R 1 and R 2 in the<br />

different aspects (P < 0.05), and Tukey test showed that<br />

there was significant difference between southwestern and<br />

southeastern aspects in view of mean R 1 . Also, there was<br />

significant difference between southwestern and other<br />

aspects except southern in view of mean R 2 .


18<br />

3 (1): 15-22, March 2011<br />

Table 1. Plant species list based on growth layers<br />

Layer<br />

Tree<br />

Shrub<br />

Herbaceous<br />

Species<br />

Acer monspessulanum L. (Aceraceae), Amygdalus communis L. (Rosaceae), Cerasus mahaleb L. (Rosaceae), Crataegus<br />

pontica C.Koch. (Rosaceae), Pistacia atlantica (Anacardiaceae), Pyrus syriaca Boiss. (Rosaceae), Quercus brantii Lindl.<br />

(Fagaceae), Q.infectoria Oliv. (Fagaceae), Q.libani Oliv. (Fagaceae).<br />

Cerasus microcarpa (C.A.Mey) Boiss. (Rosaceae), Cotoneaster nummularia Fisch & Mey. (Rosaceae), Lonicera<br />

nummularifolia Jaub & Spach. (Caprifoliaceae).<br />

Acanthus dioscoridus L. (Acantaceae), Achillea filipendula L. (Asteraceae), A.millefolium L. (Asteraceae), Aegilops<br />

triuncialis L. (Poaceae), A.triuncialis L. (Poaceae), Alopecurus myosuroides Ovcz. (Poaceae), Antemis tinctoria L.<br />

(Asteraceae), Astragalus curvirstris Boiss. (Papilionaceae), A. michauxianus Boiss. (Papilionaceae), A. (tragacantha )<br />

sp. (Papilionaceae), Aristolochia bottae Jaub & Spach. (Aristolochiaceae), Boissiera squarrosa Hochst. (Poaceae),<br />

Bromus tectorum L. (Poaceae), Buchingera axillaris Boiss. (Cruciferae), Bunium elegans (Fenzl.) Freyn. (Umbelliferae),<br />

Callipeltis cucularia Stev. (Rubiaceae), Centaurea virgata Lam. (Asteraceae), Cephalaria syriaca (L)Schrad.<br />

(Dipsaceae), Chaerophyllum macropodum Boiss. (Umbelliferae), Cornilla varia L. (Papilionaceae), Dactylis glomerata<br />

L. (Poaceae), Dianthus tabrizianus Adams. (Caryophylaceae), Echinops orientalis Trauth. (Asteraceae), E.ritrodes<br />

Bunge. (Asteraceae), Eremopoa persica (Trin.) Roshev (Poaceae), Eryngium thyrsoides F.Delaroche. (Umbelliferae),<br />

Euphorbia macroclada Boiss (Euphorbiaceae), Ferula orientalis L. (Umbelliferae), Fibijia macrocarpa Boiss.<br />

(Cruciferae), Galium aparine L. (Rubiaceae), Grammosciadium platycarpum Boiss. (Umbelliferae), Gundelia<br />

tournefortii L. (Asteraceae), Helianthemum ledifolium (L.) Miller. (Cistaceae), Heteranthelium piliferum (Banks &<br />

Soland) (Poaceae), Hordeum bulbosum L. (Poaceae), Hypericum scabrum L. (Hypericaceae), Inula britanica L.<br />

(Asteraceae), Lamium album L. (Labiatae), Marrubium vulgare L. (Labiatae), Mesostemma kotschyanum Wed.<br />

(Caryophylaceae), Milium pedicellare Bornm. (Poaceae), Onopordon kurdicum Bornm& Beauv (Asteraceae), Onosma<br />

elwendicum L. (Boraginaceae), O. microcarpa DC. (Boraginaceae), Phlomis olivieri Benth. (Labiatae), P.rigida Labill.<br />

(Labiatae), Picnomon acarna L. (Asteraceae), Poa bulbosa L. (Poaceae), Potentila kurdica Boiss & Hohen. (Rosaceae),<br />

Prangos ferulaceae L. (Umbelliferae), Rhaponticum insigne Boiss. (Asteraceae), Rhabdoscidium aucheri Boiss.<br />

(Umbelliferae), Salvia bracteata Banks & Soland. (Labiatae), Sanguisorba minor Scop. (Rosaceae), Scabiosa<br />

calocephala Boiss.(Dipsacaceae), S. leucactis Patzak. .(Dipsacaceae), Scutellaria pinnatifida A.Hamilt. (Labiatae),<br />

Serratula grandifolia Boiss. (Asteraceae), Smyrnium aucheri Boiss. (Umbelliferae), Stachys inflata Benth. (Labiatae),<br />

Taeniatherum crinitum (Schreb).Nevski (Poaceae), Teucrium polium L. (Labiatae), Trifolium campestre Schreb.<br />

(Papilionaceae), T.pratens L. (Papilionaceae), Turginia latifolia L. (Umbelliferae), Valerianella dactylophylla Boiss &<br />

Hohen. (Valerianaceae), Veronica kurdica Benth. (Scrophulariaceae), Vicia variabilis Freyn & Sint. (Papilionaceae),<br />

Xeranthemum inaepertum Boiss. (Asteraceae), Zoegea leptaurea L. (Asteraceae).<br />

The mean diversity measures were highest in<br />

northeastern (i.e., 1-D and H′) and southern (i.e., N 2 and<br />

N 1 ) and lowest in southwestern (i.e., 1-D, H′ and N 1 ) and<br />

southeastern (i.e., N 2 ) in the regeneration layer (Figure 4).<br />

The ANOVA test showed that there were significant<br />

differences amongst mean 1-D measures in the different<br />

aspects, but no significant differences amongst other<br />

diversity indices. In addition, Tukey test showed that there<br />

was significant difference between northeastern and<br />

southwestern aspects.<br />

The mean richness, R 1 and R 2 measures were highest in<br />

northern, southern and lowest in southwestern and<br />

southeastern aspects, and mean E var was the highest in<br />

southwestern and lowest in northern aspect (Figure 5).<br />

There were significant differences amongst mean richness,<br />

R 1 and R 2 measures. Tukey test showed that there was<br />

significant difference between northern and southwestern<br />

aspect in view of richness.<br />

The mean diversities were highest in northern (i.e. N 2<br />

and H′) and northwestern (i.e. 1-D and N 1 ) and lowest in<br />

northeastern aspect in the shrub layer (Figure 6). The<br />

ANOVA test showed that there were no significant differences<br />

amongst mean diversities measures in the different aspects.<br />

The mean richness and R 1 measures were highest in<br />

northern, while R 2 was the highest in eastern aspect. The<br />

mean richness was lowest in other aspects and also the<br />

mean of R 1 and R 2 were found the lowest in northwestern<br />

aspect, and the E var were found the highest in northwestern<br />

and lowest in northeastern (Figure 7). There were no<br />

significant differences amongst mean richness, R 1 , R 2 and<br />

E var measures in the different aspects.<br />

The mean diversities were highest in western and<br />

lowest in northeastern aspect in the herbaceous layer<br />

(Figure 8). The ANOVA test showed that there were<br />

significant differences amongst mean diversities measures<br />

in the different aspects. The differences among means were<br />

detected using Tukey’s test which are characterized by<br />

different letters on the histogram of Figure 8.<br />

The mean richness and E var measures were highest in<br />

western and lowest in northern aspect in the herbaceous<br />

layer and there were significant differences amongst mean<br />

measures in different aspects (Figure 9).<br />

The Lebanon oak was found in all aspects, but it had<br />

the most abundant in eastern and the least in northwestern<br />

aspect since it requires plenty of sunlight in eastern aspect<br />

(Maroufi 2000). This species is preferred northern and<br />

eastern aspects and ecological needs of Q.libani is higher<br />

than Q.infectoria and Q.brantii (Jazirehi and Rostaghi 2003).<br />

The tree species diversity was found the highest in<br />

southwestern and lowest in southeastern and northern<br />

aspects, because richness and richness indices had the<br />

highest and lowest values the mentioned aspects, and<br />

evenness had the highest and lowest values in southeastern<br />

and northeastern aspects, respectively.


POURBABAEI & NAVGRAN – Plant species diversity of Chenareh forest 19<br />

Diversity indices<br />

4.5<br />

4<br />

3.5<br />

3<br />

2.5<br />

2<br />

1.5<br />

1<br />

0.5<br />

0<br />

1-D<br />

N 2<br />

H'<br />

N 1<br />

1 2 3 4 5 6 7 8<br />

Aspect code<br />

Figure 1. Mean diversity measures and their standard errors based<br />

on different aspects in the tree layer (1. northern, 2. northeastern,<br />

3. northwestern, 4. eastern, 5. southern, 6. southwestern, 7.<br />

southeastern, 8. western).<br />

Diversity indices<br />

2.5<br />

2<br />

1.5<br />

1<br />

0.5<br />

0<br />

1 2 3 4<br />

1-D<br />

N2<br />

H'<br />

N1<br />

Aspect code<br />

Figure 6. Mean diversity measures and their standard errors based<br />

on different aspects in the shrub layer.<br />

Richness and evenness indices<br />

6<br />

5<br />

4<br />

3<br />

2<br />

1<br />

0<br />

S<br />

R1<br />

R2<br />

Evar<br />

1 2 3 4 5 6 7 8<br />

Aspect code<br />

Richness and evenness indices<br />

3<br />

2.5<br />

2<br />

1.5<br />

1<br />

0.5<br />

0<br />

1 2 3 4<br />

S<br />

R1<br />

R2<br />

Evar<br />

Aspect code<br />

Figure 3. Mean richness, R 1 , R 2 and E var measures and their<br />

standard errors based on different aspects in the tree layer.<br />

Figure 7. Mean richness, R 1 , R 2 and E var measures and their<br />

standard errors based on different aspects in the shrub layer.<br />

Diversity indices<br />

3.5<br />

3<br />

2.5<br />

2<br />

1.5<br />

1<br />

0.5<br />

0<br />

1-D<br />

N2<br />

H'<br />

N1<br />

1 2 3 4 5 6 7<br />

Aspect code<br />

Diversity indices<br />

14<br />

12<br />

10<br />

8<br />

6<br />

4<br />

2<br />

0<br />

a<br />

a<br />

ab<br />

a<br />

abc<br />

abc<br />

ab<br />

a<br />

bc<br />

abcd<br />

abc<br />

abc<br />

cd<br />

cd d<br />

bcd<br />

a ab<br />

abc<br />

bc cd cd<br />

ab<br />

abc<br />

a abc abc ab bcd abc bcd cde<br />

1 2 3 4 5 6 7 8<br />

1-D<br />

N 2<br />

H'<br />

N 1<br />

Aspect code<br />

Figure 4. Mean diversity measures and their standard errors based<br />

on different aspects in the regeneration layer.<br />

Figure 8. Mean diversity measures and their standard errors based<br />

on different aspects in the herbaceous layer (The same letters on<br />

the histogram indicate that there are no significant differences<br />

amongst mean values).<br />

Richness and evenness indices<br />

5<br />

4.5<br />

4<br />

3.5<br />

3<br />

2.5<br />

2<br />

1.5<br />

1<br />

0.5<br />

0<br />

S<br />

R1<br />

R2<br />

Evar<br />

1 2 3 4 5 6 7<br />

Richness and evenness indices<br />

14<br />

12<br />

10<br />

8<br />

6<br />

4<br />

2<br />

0<br />

cd<br />

bc<br />

abc<br />

abc<br />

abc<br />

a a<br />

a<br />

a ab bc ab ab ab bc bc<br />

1 2 3 4 5 6 7 8<br />

S<br />

Evar<br />

Aspect cod<br />

Aspect code<br />

Figure 5. Mean richness, R 1 , R 2 and E var measures and their<br />

standard errors based on different aspects in the regeneration<br />

layer.<br />

Figure 9. Mean richness and E var measures and their standard<br />

errors based on different aspects in the herbaceous layer.


20<br />

3 (1): 15-22, March 2011<br />

Diversity indices<br />

3.5<br />

3<br />

2.5<br />

2<br />

1.5<br />

1<br />

0.5<br />

1-D<br />

N 2<br />

H'<br />

N 1<br />

Diversity indices<br />

2.5<br />

2<br />

1.5<br />

1<br />

0.5<br />

1-D<br />

N2<br />

H'<br />

N1<br />

0<br />

1500 1550 1600 1650 1700 1750 1800<br />

0<br />

1500 1550 1600 1650 1700 1750 1800<br />

Elevation (m a.s.l.)<br />

Elevation (m a.s.l.)<br />

Figure 10. Mean diversity measures and their standard errors<br />

based on elevation classes in the tree layer.<br />

Figure 14. Mean diversity measures and their standard errors<br />

based on elevation classes in the shrub layer<br />

Richness and evenness indices<br />

5<br />

4.5<br />

4<br />

3.5<br />

3<br />

2.5<br />

2<br />

1.5<br />

1<br />

0.5<br />

0<br />

S<br />

R1<br />

R2<br />

Evar<br />

1500 1550 1600 1650 1700 1750 1800<br />

Elevation (m a.s.l.)<br />

Richness and evenness indices<br />

3<br />

2.5<br />

2<br />

1.5<br />

1<br />

0.5<br />

0<br />

S<br />

R1<br />

R2<br />

Evar<br />

1500 1550 1600 1650 1700 1750 1800<br />

Elevation (m a.s.l.)<br />

Figure 11. Mean richness, R 1 , R 2 and E var measures and their<br />

standard errors based on elevation classes in the tree layer.<br />

Figure 15. Mean richness, R 1 , R 2 and E var measures and their<br />

standard errors based on elevation classes in the shrub layer.<br />

Diversity indices<br />

3.5<br />

3<br />

2.5<br />

2<br />

1.5<br />

1<br />

0.5<br />

0<br />

1-D<br />

N2<br />

H'<br />

N1<br />

1500 1550 1600 1650 1700 1750 1800<br />

Diversity indices<br />

10<br />

9<br />

8<br />

7<br />

6<br />

5<br />

4<br />

3<br />

2<br />

1<br />

0<br />

1500 1550 1600 1650 1700 1750 1800<br />

1-D<br />

N 2<br />

H'<br />

N 1<br />

Elevation (m a.s.l.)<br />

Elevation (m a.s.l.)<br />

Figure 12. Mean diversity measures and their standard errors<br />

based on elevation classes in the regeneration layer.<br />

Figure 16. Mean diversity measures and their standard errors<br />

based on elevation classes in the herbaceous layer.<br />

Richness and evenness indices<br />

5<br />

4.5<br />

4<br />

3.5<br />

3<br />

2.5<br />

2<br />

1.5<br />

1<br />

0.5<br />

0<br />

S<br />

R1<br />

R2<br />

Evar<br />

1500 1550 1600 1650 1700 1750 1800<br />

Elevation (m a.s.l.)<br />

Richness and evenness indices<br />

12<br />

10<br />

8<br />

6<br />

4<br />

2<br />

0<br />

S<br />

Evar<br />

1500 1550 1600 1650 1700 1750 1800<br />

Elevation (m a.s.l.)<br />

Figure 13. Mean richness, R 1 , R 2 and E var measures and their<br />

standard errors based on elevation classes in the regeneration<br />

layer.<br />

Figure 17. Mean richness and E var measures and their standard<br />

errors based on elevation classes in the herbaceous layer.


POURBABAEI & NAVGRAN – Plant species diversity of Chenareh forest 21<br />

These results are to be confirmed with obtained results<br />

from Zagros forests in Ilam (Mirzaei et al. 2008;<br />

Pourbabaei et al. 2010). The Lebanon oak trees have been<br />

overexploited in southwestern aspect and as a result,<br />

population of other species such as Amygdalus communis<br />

and Crataegus pontica have increased in this aspect and<br />

also caused to increase tree species diversity.<br />

The regeneration diversity of woody species was found<br />

the highest in northeastern (i.e., 1-D and H´) and southern<br />

(i.e., N 1 and N 2 ) and the lowest in southwestern (i.e., 1-D<br />

and H´) and southeastern (i.e., N 2 ). The highest value of<br />

richness, R1 and R2 were found in northern and southern<br />

aspects and the lowest in southwestern and southeastern<br />

aspects. The highest value of evenness was found in<br />

southwestern and the lowest in northern aspect.<br />

The shrub diversity was found the highest in northern<br />

(i.e., H´ and N 2 ) and northwestern (i.e., 1-D and N 1 ) and the<br />

lowest in northeastern aspect. The highest value of richness<br />

and R 1 was found in northern and R 2 in eastern aspect. The<br />

lowest value of richness was found in other aspects, and R 1<br />

and R 2 in northwestern aspect. The highest value of<br />

evenness was found in northwestern and the lowest in<br />

northeastern.<br />

The herbaceous diversity was highest in western and<br />

the lowest in northeastern aspect. The highest value of<br />

richness and evenness were found in western and the<br />

lowest were in northern aspect. The number of tree<br />

individuals per hectare and its crown cover were low in<br />

western aspect and as a result the herbaceous diversity was<br />

the highest in this aspect. The population of tree species<br />

was more in northeastern aspect and crown coverage was<br />

60 to 80 percent and as a result the herbaceous diversity<br />

was lower in this aspect.<br />

Plant diversity based on elevation classes<br />

The elevation distribution of Lebanon oak species stretch<br />

from 1500 to 1800 m asl in the studied area. The highest<br />

and lowest Lebanon oak population was found from 1600<br />

to 1750 m asl (18%) and from 1500 to 1600 m asl (8%),<br />

respectively. The mean diversities were found the highest<br />

in elevation 1500 m asl and lowest in elevation 1800 m asl in<br />

the tree layer (Figure 10). There were no significant<br />

differences amongst mean diversity measures in the<br />

different elevations (P > 0.05). These results are to be<br />

confirmed with gained results of Zagros forests in Ilam<br />

(Mizaei et al. 2008).<br />

The mean richness, R 1 and R 2 measures were found the<br />

highest and lowest in elevation 1500 and 1800 m asl,<br />

respectively in the tree layer, while the highest and lowest<br />

of mean E var was found in elevation 1650 and 1600 m asl,<br />

respectively (Figure 11). There were no significant differences<br />

amongst mean these parameters in the different elevations.<br />

The mean diversities were found the highest in<br />

elevation 1500 m asl and lowest in elevation 1800 m asl in<br />

the regeneration layer (Figure 12). The mean richness and<br />

R 1 measures were found the highest in elevation 1500 m<br />

asl, and the highest value of R 2 was in elevation 1700 m asl<br />

and these parameters were lowest in elevation 1650 and<br />

1800 m asl, respectively in the regeneration layer. The<br />

highest and lowest of E var were found in elevation 1700 and<br />

1800 m asl, respectively (Figure 13). There were no<br />

significant differences amongst mean diversity, richness<br />

and evenness measures in elevation classes in the<br />

regeneration layer.<br />

The mean diversities were found the highest in<br />

elevation 1500 m asl and lowest in elevation 1750 m asl in<br />

the shrub layer (Figure 14). The mean richness and R 1<br />

measures were also found the highest in elevation 1500 m<br />

asl, and the highest value of R 2 was in elevation 1750 m asl<br />

and these parameters were lowest in elevation 1600 m asl<br />

in the shrub layer. The highest and lowest of E var were<br />

found in elevation 1600 and 1750 m asl, respectively<br />

(Figure 15). There were no significant differences amongst<br />

mean diversity, richness and evenness measures in<br />

elevation classes in the shrub layer.<br />

The mean diversities were found the highest in<br />

elevation 1700 m asl and lowest in elevation 1800 m asl in<br />

the herbaceous layer (Figure 16). The mean richness was<br />

found the highest in elevation 1500 m asl, and lowest in<br />

elevation 1800 m asl, and the highest and lowest of E var<br />

were found in elevation 1600 and 1800 m asl, respectively,<br />

in the this layer (Figure 17). There were no significant<br />

differences amongst mean diversity, richness and evenness<br />

measures in elevation classes in the herbaceous layer.<br />

The most population of Lebanon oak was found from<br />

1600 to 1750 m asl elevation. Maroufi (2000) indicated that<br />

this tree was distributed upper 1400 m asl elevation and it<br />

formed pure stands in elevation from 1600 to 1700 m asl<br />

The Quercus brantii, Q.infectoria and Q.libani species<br />

were observed with each other in elevation from 1500 to<br />

1600 m asl, and in elevation of 1600 to 1650 m asl<br />

Q.infectoria and Q.libani species found with together, and<br />

from 1650 to 1800 m asl just Q.libani was found<br />

(Tabatabaei and Geisarani 1992).The Q.libani species is<br />

distributed from 1500 to 2100 m asl and the best<br />

elevational range of this species was characterized from<br />

1600 to 1800 m asl (Jazirehi and Rostaghi 2003).<br />

The herbaceous species of Vicia variabilis Fren & Sint.<br />

has more population in sites where Q.libani population is<br />

plentiful. With increasing elevation up to 1700 m asl,<br />

V.variabilis population is also increased. The Q.libani<br />

forms pure stands in higher elevations (1650 to 1800 m asl)<br />

and population of Mesostemma kotschyanum is increased<br />

in comparing with V.variabilis since ecological needs of<br />

Mesostemma kotschyanum lower than is Vicia variabilis.<br />

The herbaceous coverage is to be increased in western and<br />

eastern aspects due to decreasing crown cover of oak<br />

species, and Turginia latifolia L. species is formed the<br />

most coverage percent since it has less ecological needs<br />

and it also is a thorny species.<br />

CONCLUSION<br />

The Zogros are divided into two parts: northern and<br />

southern. Northern Zagros is determined in the basis of<br />

distribution of Quercus infectoria Oliv. and Q. libani Oliv.<br />

Southern Zagros is also determined based on distribution of<br />

Quercus brantii Lindl. The Lebanon oak was found in all<br />

aspects, but it had the most population in eastern aspect and<br />

also this species was preferred northern aspect due to high


22<br />

3 (1): 15-22, March 2011<br />

ecological needs. The most population of Lebanon oak was<br />

found from 1600 to 1750 m asl elevation because of<br />

suitable humidity and edaphically conditions. In fact,<br />

elevational distribution of Lebanon oak is as spindle shape,<br />

that is, population of this species is increasing when the<br />

elevation is increasing and the population is decreasing in<br />

higher elevation. The disturbance is approximately high in<br />

elevation of 1500 m asl, as a result herbaceous and other<br />

woody species have been dominated and Lebanon oak<br />

decreased. Therefore, in order to rehabilitate the northern<br />

Zagros it is recommended that plantation of Lebanon oak is<br />

greatly conducted in the mentioned aspects and elevations.<br />

Regarding that plant species diversity and richness are<br />

considerable in studied area, it is better that this site is<br />

considered as genetic reservoir.<br />

ACKNOWLEDGEMENTS<br />

We would like to thank to Hosein Maroufi who helped<br />

us in identification of plant species specimens. Also, we<br />

wish to acknowledge our field assistants that had helped us<br />

during the data collection.<br />

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Vol. 3, No. 1, Pp.: 23-27<br />

March 2011<br />

<strong>ISSN</strong>: <strong>2087</strong>-<strong>3940</strong> (print)<br />

<strong>ISSN</strong>: <strong>2087</strong>-<strong>3956</strong> (electronic)<br />

Evaluation structural diversity of Carpinus betulus stand in Golestan<br />

Province, North of Iran<br />

VAHAB SOHRABI 1,♥ , RAMIN RAHMANI 1 , SHAHROKH JABBARI 2 , HADI MOAYERI 1<br />

Faculty of Forestry, Gorgan University of Agricultural Science and Natural Resources. PO Box 386, Shahid Beheshti Street, Gorgan, Golestan, Islamic<br />

Republic of Iran, Tel. +98 (171) 222 0028, Fax. +98 (171) 222 598, ♥ Email: vahabsohrabi61@yahoo.com<br />

2 Super Council of Forests, Range, Watershade Management Organization, Islamic Republic of Iran.<br />

Manuscript received: 19 February 2011 Revision accepted: 3 March 2011.<br />

Abstract. Sohrabi V, Rahmani R, Jabbari S, Moayeri H. 2011. Evaluation structural diversity of Carpinus betulus stand in Golestan<br />

Province, Northern Iran. Nusantara Bioscience 3: 23-27. In order to investigate structural diversity of Carpinus betulus type in Golestan<br />

province 30 modified Whittaker plots by systematic random system were located. Per plot the characteristic of trees and shrubs species<br />

(Species name, diameter and height of trees) are recorded. The heterogenity indices of Simpson, Shannon–Wiener, Simpson’s reciprocal<br />

and number of equally common species were used for the quantitative data. Toward better understand from diversity condition in<br />

horizontal and vertical composition of stand, the diameter divided in 10 cm classes and Method of Mohajer and the height divided in 10<br />

m height classes and dominant height, then number of diversity of each class extracted by Ecological Methodology software V.7. The<br />

results showed with increase of diameter and height classes, decrease species diversity. Also regeneration layers diversity has significant<br />

difference with trees layers. Thus, the study of biodiversity changes in different diameter and height category cause ecologically precise<br />

perspective in management of forest stands.<br />

Key words: structure diversity, indices diversity, diameter and height classes.<br />

Abstrak. Sohrabi V, Rahmani R, Jabbari S, Moayeri H. 2011. Evaluasi keragaman struktur tegakan Carpinus betulus di Provinsi<br />

Golestan, Iran bagian utara. Nusantara Bioscience 3: 23-27. Dalam rangka untuk menyelidiki struktur keragaman tipe Carpinus betulus<br />

di provinsi Golestan, 30 plot Whittaker yang telah dimodifikasi dibuat secara sistem random sistematis. Pada setiap plot, karakteristik<br />

spesies pepohonan dan semak (nama spesies, diameter dan tinggi pohon) dicatat. Indeks heterogenitas dari beberapa macam indeks<br />

Simpson, Shannon-Wiener, Simpson’s reciprocal dan jumlah spesies yang umum ditemukan digunakan untuk data kuantitatif. Untuk<br />

lebih memahami kondisi keanekaragaman dalam tegakan horizontal dan vertikal, maka dikelompokkan ke dalam diameter dalam kelas<br />

10 cm, metode Mohajer, tinggi dalam kelas 10 m, dan ketinggian yang dominan, kemudian jumlah keragaman setiap kelas ditentukan<br />

dengan software Ecological Methodology v.7.0. Hasil penelitian menunjukkan bahwa peningkatan kelas diameter dan tinggi,<br />

menyebabkan penurunan keragaman spesies. Keragaman lapisan regenerasi memiliki perbedaan signifikan dengan lapisan pohon. Studi<br />

perubahan keanekaragaman hayati dengan kategori diameter dan tinggi yang berbeda memerlukan perspektif ekologis yang tepat dalam<br />

pengelolaan tegakan hutan.<br />

Kata kunci: keanekaragaman struktur, indeks diversitas, kelas diameter dan tinggi.<br />

INTRODUCTION<br />

Human knows the concept and the importance of<br />

biodiversity from earlier century. Plato frequently point out<br />

the diversity and believe that if there is more diversity in<br />

the world, the world will be better (Beasapour 2000,<br />

Ejtehadi et al. 2009). Today, the word of biodiversity<br />

applies by various science experts, such as ecologists. The<br />

convention of biodiversity of USA, describe biodiversity<br />

as: there is a difference in all the life type all sources such<br />

as marine, ground and ecological complex combination and<br />

include the diversity within species, between species and<br />

ecosystems (Markandya et al. 2008). One of the constant<br />

keys of management of uneven age forest is the true<br />

understanding about spatial structure of forest (Costanza et<br />

al. 2007). Forest structure is the important feature in<br />

management of forest ecosystems (Zenner and Hibbs<br />

2000). Structural features are used to determine the species<br />

neech heterogeneous experiment and plant dynamic time,<br />

management of regeneration patterns and fragmentation<br />

dynamic, description of microclimate diversity and<br />

predicting the wood production (Youngblooda et al. 2004).<br />

Management of forest stands performs by stands structure<br />

control (age, size and tree density) and forest structure (size<br />

and spatial order of tree) because the concept of forest<br />

structure is more important than species combination<br />

(Oheimb et al. 2005). The study of natural forests structure<br />

defined the way of desired structure that the use of<br />

appropriate silviculture operation and stimulation of natural<br />

structure in under management stands considered as the<br />

way to keep the biological diversity and forest dynamic and<br />

stability (Markandya et al. 2003). The study of forest


24<br />

3 (1): 23-27, March 2011<br />

structure especially in virgin forests is very important and<br />

gives us comprehensive information about the condition in<br />

forest for programming. The diversity of a forest stand may<br />

not be sufficiently described by tree species diversity alone.<br />

Structural diversity, resulting from recruitment of trees of<br />

different sizes into multilayered canopies, should also be<br />

taken into account (Liang et al. 2007). This characteristic,<br />

which can be approximated by the diversity of tree size,<br />

affects the amount of light and precipitation received by<br />

subordinate trees and understory plants (Anderson et al.<br />

1969), and may thus influence the productivity of forest<br />

ecosystems. Thus manipulating tree-size diversity is a<br />

practical tool for forestmanagers who strive for greater<br />

biodiversity and/or greater productivity (Varga et al.<br />

2005).Varus studing done about in forest structure.<br />

Ahani et al (2006) do the research about species<br />

diversity of tree based on the diameter class in Acer sites in<br />

Shafarud forests. So, rhombus plots in half hectare study in<br />

forest according to Acer (34 plots). First the feature within<br />

each plot, its slope, aspect, height from sea level and then<br />

total diameter of trees up to more than 10 cm<br />

measured.Biodiversity accounted in four diameter alasses<br />

(10-30, 35-50, 55-80, 80-120 cm). The result showed that<br />

the Shanon and N1 Mac Arthur indices in diameter class of<br />

35-50 cm, have greatest amount, while the index of<br />

Simpson and N2 hill shows the greatest amount in diameter<br />

class of 10-30 cm. The purpose of this paper is the<br />

evaluation of structural diversity in diameter and height<br />

classes and their changing process with changing of<br />

diameter classes and height category in Carpinus betulus<br />

(Persian: Mamarz) type in Golestan province, IR Iran.<br />

MATERIALS AND METHODS<br />

The regions of study<br />

Kohmian forestry plan is located in 98 wateshade<br />

domain which is limited in north is village of Kohmian,<br />

Fazel Abad, Khanduz Sadat and Marzbone, in south and<br />

west to Naeem s forestry plan and in east to vatan forestry<br />

plan. Its east longitude is 55-14-49 to 55-10-30 and its<br />

north width is 37-65-15 to 37-00-00 degrees (Figure 1).<br />

Golestan<br />

6<br />

4<br />

5<br />

1<br />

2<br />

3<br />

Figure 1. Map of the site study in in Golestan Province, North of Iran. 1. Shastkalateh, 2. Tavir, 3. Kohmian, 4. Takht, 5. Loveh, 6.<br />

Farsian.


SOHRABI et al. – Diversity of Carpinus betulus stand in Golestan, Iran 25<br />

Table 1. Indices used in this paper (Ejtehadi et al. 2009)<br />

Equation<br />

1− D = 1 −∑ ( p i<br />

)<br />

s<br />

Pi<br />

H ′ = ∑ ( Pi<br />

)( Log2<br />

)<br />

i = 1<br />

1 1<br />

=<br />

∑<br />

2<br />

D p i<br />

H′<br />

1<br />

= e<br />

N<br />

2<br />

Simpson<br />

Index<br />

Shannon–Wiener<br />

Simpson’s<br />

reciprocal<br />

Number of equally<br />

common species<br />

Description of equation<br />

(1-D) = Simson’s index of diversity<br />

p 1 = proportion of individual species I in the community<br />

H’ = information content of sample (bits/individual) = index of species diversity<br />

s = number of species<br />

p 1 = proportion of total sample belonging to i-th species<br />

1/D = Simson’s reciprocal index (= Hill’s N 2 )<br />

p 1 = proportion of individual species i in the community<br />

H’ = information content of sample (bits/individual) = index of species diversity<br />

s = number of species<br />

p 1 = proportion of total sample belonging to i-th species<br />

Research method<br />

This research is basee on sampling by systematic<br />

random system and the center of plots in forest is<br />

determined. To study and investigation, 30 modified<br />

Whittaker plots in range of 850-950 m altitude from the sea<br />

level in north aspect were located. In this 20x50 meter<br />

frame, the characteristic of trees and shrubs species<br />

(species name, diameter and height of trees) are recorded.<br />

The heterogenity indices of Simpson, Shannon–Wiener,<br />

Simpson’s reciprocal and number of equally common<br />

species and evenness indices of Simpson, Camargo, Smith-<br />

Wilson and modified nee were used for the quantitative<br />

data (Table 1). Then aforesaid characteristics saved as<br />

information bank in Excell 2010. Then indices account by<br />

Ecological Methodology software v.7.0 (Krebs 1999).<br />

Analyze of data was done by analyze of variance<br />

(ANOVA) and Duncan’s multiple range test (DMRT).<br />

RESULTS AND DISCUSSION<br />

Next of survey recorded number of 10 trees species<br />

dependent of 8 families and 3 shrubs species dependent of<br />

2 families that show notable statistics (Table 2).<br />

Table 2. Composition of trees and shrubs species.<br />

Scientific name Family Trees/Shrubs<br />

Quercus castanefolia Fagaceae T<br />

Carpinus betulus Betulaceae T<br />

Parrotia persica Hamameliadaceae T<br />

Tilia begunda Tiliaceae T<br />

Acer insigne Acearaceae T<br />

Ulmus glabra Ulmaceae T<br />

Acer cappadocicum Acearaceae T<br />

Alnus glutinosa Betulaceae T<br />

Crataegus monogyna Rosaceae S<br />

Mespilus germanica Rosaceae S<br />

Prunus avium Rosaceae S<br />

Sorbus torminalis Rosaceae T<br />

Diospyros lotus Ebenaceae S<br />

Diversity indices in 10 cm diameter classes<br />

The under study diversity indices in this paper shows<br />

the decrease in the diameter classes of 10cm with increase<br />

of classes. The most diversity number is in diameter class<br />

of 0-10 cm and the least diversity number is in diameter<br />

class of 90-100 cm. other than Simpson diversity index that<br />

shows the least diversity number in diameter class of more<br />

than 100cm, the significant different is between diameter<br />

classes in 1% level (Figure 2).<br />

Diversity indices in diameter classes by method of<br />

Mohajer<br />

Diversity indices shows decrease process with the<br />

increase of diameter classes but it increase again in last<br />

class (dbh>80). The most diversity number is in the class of<br />

0-10 cm and the least diversity number is in class of 60_80<br />

cm. The diameter classas (20-30, 30-60, dbh>80) are not<br />

significant different. The significant different is between<br />

diameter classes in 1% level (Figure 3).<br />

Diversity indices in 10m height classes<br />

Diversity indices have orderly decrease process. The<br />

most diversity number is in height class of 0-10m and the<br />

least diversity number is in height class of 40-50m. , the<br />

significant different is between height classes in 1% level<br />

(Figure 4).<br />

Diversity indices in dominant height of height classes<br />

The most diversity number in all indices is for h


26<br />

3 (1): 23-27, March 2011<br />

Figure 2. The comparison of diversity indices in 10cm diameter<br />

classes. A. Simpson, B. Simpson’s reciprocal, C. Shannon–<br />

Wiener, D. Number of equally common species.<br />

Figure 5. The comparison of diversity indices in height classes by<br />

dominant height. A. Simpson, B. Simpson’s reciprocal, C.<br />

Shannon–Wiener, D. Number of equally common species.<br />

Figure 3. The comparison of diversity indices by method of<br />

Mohajer (2005). A. Simpson, B. Simpson’s reciprocal, C.<br />

Shannon–Wiener, D. Number of equally common species.<br />

Figure 4. The comparison of diversity indices in 10m height<br />

classes. A. Simpson, B. Simpson’s reciprocal, C. Shannon–<br />

Wiener, D. Number of equally common species<br />

forest stands. Forest stands have different structure in<br />

various sections (linear and phenomenal) like a building.<br />

For recognition, study and precise programming of forest<br />

stands, its features need to consider according to different<br />

sections. Various profiles (linear and phenomenal) could be<br />

dividing for forest stands. The study of forest stand profile<br />

especially in virgin forests is very important and gives us<br />

comprehensive information about structure of these forests<br />

(Mohajer 2005). For better understanding of the structure<br />

of forest stand, we analyzed it according to the vertical and<br />

horizontal structure. Species diversity of tree and shrub in<br />

this type have significant different in low diameter and<br />

height classes with up diameter and height classes classes.<br />

Diameter and height classes below of 10 cm, account as 10<br />

regeneration layer, so diversity of regeneration layer is<br />

more than the diversity of tree layers (Pourbabaei et al.<br />

2006; Sohrabi 2010). This is due to the decrease of canopy<br />

of small saplings and it need low light than higher age<br />

process in this classes. By the increase of diametrical and<br />

height classes, the diversity decrease. It is obvious that the<br />

structure diversity naturally in the virgin forest decrease<br />

depend on site condition and with increase of stand age and<br />

its move toward climax, because gradually increase of trees<br />

age dominant species dominant against the under species.<br />

Trees are the main elements in forest ecosystems that other<br />

living thing life of this ecosystem depends on the life of<br />

them. Therefore removing of the tree threatened the life of<br />

the existent in this ecosystem. The main role of forest<br />

engineer is the marketing of forest (Mohajer 2005). In this<br />

step choosing of trees perform by considering of target<br />

diameter from defined species and gradually the number of<br />

trees in defined diameter decreased and so the repeating act<br />

might remove some class of trees. It is threatened the<br />

structure diversity and the species diversity. Trees diversity<br />

in higher diametrical and altitudinal categories is part of the<br />

lower diametrical category diversity. Any changes in above<br />

level might change the ground cover. Tree dimension<br />

diversity has an effect on the amount of light and raining<br />

by small plant and trees (Anderson et al.1969). This has<br />

influence on the produce of forest ecosystems.


SOHRABI et al. – Diversity of Carpinus betulus stand in Golestan, Iran 27<br />

CONCUSION<br />

The increasing of diameter and height classes, decrease<br />

species diversity. Regeneration layers diversity has<br />

significant difference with trees layers. Thus, the study of<br />

biodiversity changes in different diameter and height<br />

category cause ecologically precise perspective in<br />

management of forest stands.<br />

ACKNOWLEDGEMENTS<br />

Therefore I express gratitude to any ones who is useful<br />

in my life. By the way, I thank Ezazi to give us translation<br />

of this paper.<br />

REFERENCES<br />

Ahani H, Pourbabaei H, Bonyad AE. 2006. Investigation of trees species<br />

diversity based on diameter at breast height (dbh) class on Norway<br />

Maple (Acer platanoides L.) in Shafarood Forest (Guilan Province). J<br />

Agric Sci 12 (3): 525-533.<br />

Anderson RC, Loucks OL, Swain AM. 1969. Herbaceous response to as<br />

soil indicators in Oregon’s western cascades old-growth forests.<br />

Northwest boreal coniferous forests. Ecology 50: 255-263<br />

Beasapour D. 2000. Reconnaissance The best Indices biodiversity and Use<br />

them in Ecosystem Estimate. Articeles Collection of chronicology<br />

and biodiversity 285-291<br />

Costanza R, Fisher B, Muler K, Liu S, Christopher T. 2007. Biodiversity<br />

and ecosystem services: A multi-scale empirical study of the<br />

relationship between species richness and net primary production.<br />

Ecol Econ 61: 478-491.<br />

Ejtehadi H, Sepehry A, Akkafi HR. 2009. Method of measuring<br />

biodiversity. Ferdowsi University of Mashhad Publication No. 530.<br />

Mashhad, IR Iran.<br />

Krebs CJ. 1999. Ecological Methodology. 2 nd ed. Addison-Welsey. Menlo<br />

Park, CA.<br />

Liang J, Buongiorno J, Monserud RA, Kruger EL, Zhou M. 2007. Effects<br />

of diversity of tree species and size on forest basal area growth,<br />

recruitment, and mortality. For Ecol Manag 243 (2007) 116-127.<br />

Markandya A, Nunes PALD, Bräuer I, ten Brink P, Kuik O, Rayment M.<br />

2008. The economics of ecosystems and biodiversity – Phase 1<br />

(scoping) economic analysis and synthesis. Final Report for the<br />

European Commission, Venice, Italy.<br />

Markandya T, Nishimurab N, Yamamotoa S. 2003. Population structure<br />

and spatial patterns of major trees in a sub alpine old-growth<br />

coniferous forest, central Japan. For Ecol Manag 182: 259-272.<br />

Mohajer MM. 2005. Silviculture. Tehran University Press, Tehran, Iran.<br />

Oheimb GO, Westphal Ch, Tempel H, Hardtle W. 2005. Structural pattern<br />

of a nearnatural beech forest (Fagus sylvatica) (Serrahn, North-east<br />

Germany). For Ecol Manag 212: 253–263<br />

Pourbabaei H, Dado KH. 2000. Species diversity of woody plants in the<br />

district No. 1 forests, Kelardasht, Mazandaran province. J Iran Biol<br />

18: 306-322.<br />

Sohrabi V. 2010. Comparing of species and stracture diversity in gradient<br />

of between Shastkolateh Beech Forest and Loveh Oak Forest [M.Sc<br />

thesis]. Faculty Forestry, Gorgan University of Agriculture Sciences<br />

and Natural Resources. Gorgan, IR Iran.<br />

Stohlgren TJ, Falkner MB, Schell LD. 1995. A modified-whittaker nested<br />

vegetation sampling method. Vegetatio 117 (2): 113-121.<br />

Varga P, Chen HYH, Klinka K. 2005. Tree-size diversity between<br />

singleand mixed-species stands in three forest types in western<br />

Canada. Can J Forest Res 35 593-601.<br />

Youngblooda A, Maxb T, and Coe K. 2004. Stand structure in eastside<br />

old-growth ponderosa pine forests of Oregon and northern California.<br />

For Ecol Manag 195: 238-256.<br />

Zenner EK, Hibbs DE. 2000. A new method for modeling the<br />

heterogeneity of forest structure. For Ecol Manag 129: 75-87.


Vol. 3, No. 1, Pp.: 28-35<br />

March 2011<br />

<strong>ISSN</strong>: <strong>2087</strong>-<strong>3940</strong> (print)<br />

<strong>ISSN</strong>: <strong>2087</strong>-<strong>3956</strong> (electronic)<br />

Microanatomy alteration of gills and kidneys in freshwater mussel<br />

(Anodonta woodiana) due to cadmium exposure<br />

FUAD FITRIAWAN 1,♥ , SUTARNO², SUNARTO²<br />

¹ Open University, UPBJJ Bandar Lampung. Jl. Soekarno-Hatta No. 108 B Rajabasa, Bandar Lampung 35144, Lampung, Indonesia. Tel.: +92-721-<br />

704772. Fak.: +92-721-709026. E-mail: ut-bandarlampung@upbjj.ut.ac.id, maz_afid@yahoo.co.id<br />

² Bioscience Program, School of Graduates, Sebelas Maret University, Surakarta 57126, Central Java, Indonesia<br />

Manuscript received: 15 December 2010. Revision accepted: 26 February 2011.<br />

Abstract. Fitriawan F, Sutarno, Sunarto. 2011. Microanatomy alteration of gills and kidneys in freshwater mussel (Anodonta<br />

woodiana) due to cadmium exposure. Nusantara Bioscience 3: 28-35. The purpose of this study were to determine the level of Cd<br />

accumulation in the gills and kidneys, to khow the changes in microanatomic structure of A. woodiana after the various treatments of<br />

heavy metals. Completely randomized design pattern of 5 x 3 as used in this laboratory experiment. The amount of exposure of heavy<br />

metals Cd were (0 ppm, 0.5 ppm, 1 ppm, 5 ppm, 10 ppm), while the variation of length of exprosure time to Cd were (7 days, 14 days,<br />

and 30 days). The parameters of Cd accumulation in the gills and kidney was analyzed by using AAS method, while abnormalities of<br />

gills and kidney were detected by microanatomy structure. Data collected were then analyzed using the analysis of variance (ANOVA)<br />

and continued with further test the DMRT. The results indicated that there is a significant effect in 475.3 > 0.000 and 60150.3 >0.000<br />

with 5% significance level (P 0,000 dan 60150,3 > 0,000 dengan taraf signifikansi rata-rata 5% (P


FITRIAWAN et al. – Effect of Cd on freshwater mussels A. woodiana 29<br />

tissue which became the meeting place of active transport<br />

between organisms and the environment (Soegianto et al.<br />

2004). Renal function begins in the glomerular ultrafilter<br />

that is formed from the plasma. Ultrafilter will enter the<br />

Bowman's capsule and into the lumen of the tubule.<br />

Filtering through the various segments of the tubules<br />

causes changes in the volume and composition of fluid<br />

filtration as a result of the process of reabsorption and<br />

secretion along the tubules (Tresnati et al. 2007).<br />

Glomerulus is composed of blood capillaries to function as<br />

a selective filter from the blood mainly in the normal blood<br />

screening (Takashima and Hibiya 1995). Following<br />

through on glomerular filtration and being re-absorbed in<br />

the tubular, it produces urine as a result of secretion in<br />

normal circumstances (Tresnati et al. 2007).<br />

The purpose of this study are: (i) to know the content of<br />

Cd accumulation, (ii) changes in the microanatomy<br />

structure, and (iii) in gill and kidney of A. woodiana after<br />

treatment.<br />

MATERIALS AND METHODS<br />

Time and place<br />

The research of the Cd treatment on A. woodiana<br />

conducted at the Laboratory of Pharmacy and Food<br />

Academy Analyst Sunan Giri, Roxburgh. Analysis of<br />

heavy metal content by AAS method was carried out in sub<br />

lab Chemistry Laboratory of Mathematics and Science<br />

Center UNS Surakarta, while the preparation for the<br />

analysis was conducted in the laboratory animal anatomy<br />

Faculty of Veterinary Medicine, Gadjah Mada University<br />

in Yogyakarta. The experiment was conducted in October-<br />

November 2009.<br />

Materials<br />

Freshwater mussels (A. woodiana) were obtained from<br />

farms in the fishing village of the tourist site of Janti,<br />

Polanharjo Subdistrict, Klaten District, Central Java.<br />

Procedures<br />

Freshwater bivalve A. woodiana was selected based<br />

onthe maximum growth and uniform size. The shellfish<br />

was acclimatized for 15 days, after which it was examined<br />

by using the compound of Cd for 30 days with repeated 3<br />

times at day 7, 14 and 30. Physical-chemical parameters<br />

measured mencakuip pH, DO and water temperature where<br />

the experiment. Cd content of the examination conducted<br />

on the gill and kidney A. woodiana with AAS method.<br />

Preparation of gill and kidney preparations performed with<br />

haematoxylin-eosin (HE) method with treatment stages, ie<br />

trimming, dehydration, embedding, cutting, stainning,<br />

mounting and reading the results.<br />

Data analysis<br />

Environmental chemistry parameters (pH, DO,<br />

temperature) were described with a descriptive method.<br />

Effects of Cd exposure on the gill and kidney A. woodiana<br />

were analyzed by ANOVA one-way significance level of<br />

5% (P> 0.05), followed by a further test of significant<br />

difference or Duncan's multiple range test (DMRT).<br />

Abnormality in the microanatomy structure of gills and<br />

kidneys of A. woodiana was directly observed and<br />

described with a descriptive method.<br />

RESULTS AND DISCUSSION<br />

Water environmental parameters<br />

Examination of physical and chemical parameters of<br />

water quality used in this study include the degree of<br />

acidity (pH), dissolved oxygen (DO), and water temperature.<br />

Degree of acidity (pH)<br />

The degree of acidity or pH is a value that shows the<br />

activity of hydrogen ions in water. The pH of a water<br />

reflects the balance between acid and base in these waters.<br />

The pH range 1-14, pH 7 is the boundary halfway between<br />

the acid and alkaline (neutral). The higher the pH of the<br />

water, the greater the base nature will be, and the lower the<br />

pH the more acidic the water. PH value is influenced by<br />

several parameters, including biological activity,<br />

temperature, oxygen content and the ions. From the<br />

biological activity, CO2 gas is generated as a result of<br />

respiration. This gas will form a buffer or buffer ions to<br />

maintain the pH range in the waters in order to remain<br />

stable (Erland 2007).<br />

In this study, the pH is very important as water quality<br />

parameters, for controlling the type and rate of speed of<br />

reaction some materials in the water. In addition, A.<br />

woodiana live at a certain pH interval, so that by knowing<br />

the value of pH, it can be known whether or not the water<br />

supports their lives. Based on Figure 1A, it is known that<br />

the higher Cd concentration, the higher the value of the<br />

range of pH waters. On day 7, pH values ranged from 7.34<br />

to 8.44, on day 14 ranged from 7.37 to 8.40, and the dayto-30<br />

range from 7.31 to 8.68. According to Erland (2007),<br />

pH to function as an index of environmental conditions and<br />

limiting factors, where each organism has a different<br />

tolerance to pH maximum, minimum and optimal.<br />

According to Erland (2007) pH value of water has a<br />

special characteristic, the hydrogen ion concentration be<br />

measured by the balance between acids and bases. Acidfree<br />

mineral acid and carbonic acid will lower pH value<br />

(acid), while the carbonate (CO3), hydroxide (OH-) and<br />

bicarbonate to raise pH (alkaline). Rochyatun et al. (2006)<br />

states, that at a relatively high metal content will be<br />

alkaline pH values (pH 7.40 to 8.59), where the metal is<br />

difficult to dissolve and settle to the bottom of the water.<br />

When in the treatment, pH values from 0.5 to 10 ppm, in<br />

the study it ranged from 7.92 to 8.68, indicating water has<br />

been polluted quite heavily, with the level of alkalinity in<br />

excess of tolerance. According to Connell and Miller<br />

(1995) increase in pH in the waters will be followed by<br />

decreasing the solubility of heavy metals that tend to settle.<br />

Deposition can occur in sediments and food; the food will<br />

enter and accumulate in the body of A. woodiana. Given<br />

the Cd is a non-essential metal that cannot be degraded so<br />

that it will cause interference with the organs, such as the<br />

gill and kidney.


30<br />

3 (1): 28-35, March 2011<br />

Water solubility of oxygen (DO)<br />

Oxygen is one of the gases dissolved in natural waters<br />

with varying levels are influenced by temperature, salinity,<br />

water turbulence, and atmospheric pressure. Besides<br />

necessary for the survival of aquatic organisms, oxygen is<br />

also needed in the process of decomposition of organic<br />

compounds. Sources of dissolved oxygen are mainly<br />

derived from the diffusion of oxygen from the atmosphere.<br />

This diffusion occurs directly on stagnant conditions<br />

(silent), or because of agitation (water mass unrest) caused<br />

by waves or wind.<br />

Figure 1B shows that the higher concentration of Cd<br />

treatment, then progressively decreasing levels of dissolved<br />

oxygen (DO) in water. Ardi (2002) classified water quality<br />

based on the DO into four types namely; not contaminated<br />

(> 6.5 mg/L), lightly polluted (4.5 to 6.5 mg/L), being<br />

contaminated (2.0 to 4, 4 mg/L) and heavily polluted (


FITRIAWAN et al. – Effect of Cd on freshwater mussels A. woodiana 31<br />

increased in order to defend themselves, so that<br />

automatically the oxygen demand is very much while on<br />

the other hand, given the concentration of heavy metals<br />

higher, thus increasing the concentration of heavy metals<br />

that enter the more carbon dioxide (CO 2 ) are released that<br />

cause the oxygen content dwindling waters so that the<br />

rising water temperature.<br />

According to Connell and Miller (1995) the role of<br />

water temperature is very important to help the body's<br />

metabolism of aquatic animals. The increase in water<br />

temperature can cause the immune system of aquatic biota<br />

to decrease. So if a toxic Cd 2+ enters the body of A.<br />

woodiana the biota will be very difficult to retain yourself<br />

from the poison.<br />

Accumulation of Cd in the gills of A. woodiana<br />

The result of the content of Cd in the gill and kidney A.<br />

woodiana with AAS method are shown in Table 1. From<br />

the results it is known that the increasing Cd treatment, the<br />

increase of Cd accumulatd in the gill of A. woodiana. In the<br />

control (0 ppm), Cd accumulation in the gills of A.<br />

woodiana was 0.12 ppm, the accumulation in the control is<br />

still below the maximum tolerance limit Cd accumulation<br />

in organs, as specified by the FAO (1972) and MOH<br />

(1989), namely a maximum accumulation of Cd in organs<br />

of 1 ppm. It is also in accordance with preliminary studies<br />

that have been made to the content of Cd in water samples,<br />

with the result that the content of Cd in Janti aquaculture<br />

that was still in the normal state that was 0.0028 ppm (IGR<br />

No. 82/2001; EPA 1986).<br />

After the examination after 7 days the average values<br />

obtained Cd accumulation in gill A. woodiana in the<br />

treatment of 0.5 ppm was 0.58 ppm, treatment of 1 ppm<br />

was 0.87 ppm, 5 ppm was 1.00 ppm and 10 ppm was 2.15<br />

ppm. Meanwhile, after the examination on day 14, obtained<br />

an average value of accumulated Cd at 0.5 ppm treatment<br />

was 0.78, treatment of 1 ppm 0.93 ppm, 5 ppm treatment at<br />

1.24 ppm, and on treatment 10 ppm at 2.34 ppm. After the<br />

examination on day-30, it was obtained an average value of<br />

Cd accumulation in the treatment of 0.5 ppm 1.43 ppm, 1<br />

ppm treatment at 1.01, 5 ppm treatment at 2.58, and the<br />

treatment of 10 ppm 3.49 ppm.<br />

Darmono (1995) states that the relationship between the<br />

amount of metal absorption and metal content in water is<br />

usually in proportion, the increase in metal content in the<br />

network in accordance with the increase of metal content in<br />

water. According Sunarto (2007) Cd will also experience<br />

the process of biotransformation and bioaccumulation in<br />

aquatic biota. Cadmium enters the body along the water or<br />

food consumed, but water or food has been contaminated<br />

by Cd. The amount of metal that accumulates in the gills<br />

will continue to increase, even very likely continue to enter<br />

through the accumulation of Cd digestive tract to the<br />

kidney; in addition to increasing levels of pollutants in the<br />

presence of Cd may also biomagnification process in the<br />

water body. If the amount of Cd that enters the body and<br />

has exceeded the threshold value, it will experience death<br />

and even extinction.<br />

Cd treatment against gill A. woodiana with a<br />

concentration of 0 ppm, 0.5 ppm, 1 ppm, 5 ppm and 10<br />

ppm for 7 days, 14 days and 30 days to yield significant<br />

results (P


32<br />

3 (1): 28-35, March 2011<br />

Analysis of treatment outcome ofthe renal Cd of A.<br />

woodiana<br />

Test results on the Cd content of the kidney A.<br />

woodiana after treatment is shown in Table 1. The average<br />

value of the kidney of A. woodiana in the control group<br />

amounted to 0.019 ppm (0.018933 ppm), the value<br />

accumulated in the control was still below the maximum<br />

tolerance limit Cd accumulation in organs, as specified by<br />

the FAO (1972) and MOH (1989) that is equal to 1 ppm. It<br />

is also in accordance with preliminary studies that have<br />

been made to the content of Cd in the water, that the<br />

content of Cd in the water of Janti aquaculture is still in the<br />

normal state is 0.0028 ppm (IGR No. 82/2001; EPA 1986).<br />

Later in the treatment of 0.5 ppm Cd in the kidneys<br />

after examination, AAS average accumulation after 7 days<br />

was at 0.020 ppm, after 14 days was at 0.029 ppm, after 30<br />

days was at 0.086 ppm. Later in the treatment of 1 ppm<br />

after 7 days accumulation of 0.030 ppm, 0.031 ppm after<br />

14 days, and after 30 days at 0.066 ppm. Later in the<br />

treatment of 5 ppm Cd accumulation after 7 days at 0.057<br />

ppm, after 14 days at 0.085 ppm, and after 30 days at 0.107<br />

ppm. And in the treatment of 10 ppm Cd accumulation in<br />

the kidney after 7 days at 0.116 ppm, after 14 days at 0.150<br />

ppm and after 30 days showed the exposure of 1.717 ppm.<br />

From the above data, it is known that the higher the<br />

concentration of Cd treatment A. woodiana, the higher the<br />

value of exposure to cadmium in the kidneys of A.<br />

woodiana. This is similar to what has been mentioned by<br />

Sunarto (2007) that Cd will also experience the process of<br />

biotransformation and bioaccumulation in aquatic biota.<br />

Cadmium enters the body along the water or food<br />

consumed, where water or food has been contaminated by<br />

Cd. The amount of metal that accumulates in the gills will<br />

continue to increase, even very likely continue to enter<br />

through the accumulation of Cd digestive tract to the kidney.<br />

Based on ANOVA statistical test, it is known that Cd<br />

treatment on the kidney of A. woodiana with a<br />

concentration of 0 ppm, 0.5 ppm, 1 ppm, 5 ppm and 10<br />

ppm for 7 days, 14 days and 30 days, yield significant<br />

results (P


FITRIAWAN et al. – Effect of Cd on freshwater mussels A. woodiana 33<br />

bottom waters, such as A. woodiana (bivalves) will have a<br />

great opportunity for exposure to heavy metals that have<br />

been bound and form sediment.<br />

Table 3. Changes in cellular structure mikroanatomi A. Gill<br />

woodiana after exposure to heavy metals cadmium with HE<br />

staining preparation.<br />

Concentration<br />

(ppm)<br />

Time of<br />

surgery<br />

(days)<br />

Edema Hyperplasia<br />

Fusion<br />

of<br />

lamella<br />

Necrosis Atrophy<br />

0 7 - - - - -<br />

14 - - - - -<br />

30 - - - - -<br />

0,5 7 + - - - -<br />

14 ++ + - - -<br />

30 +++ ++ - - -<br />

1 7 ++ + - - -<br />

14 ++ ++ ++ - -<br />

30 ++++ +++ +++ - -<br />

5 7 ++++ +++ + - -<br />

14 ++++ ++++ +++ - -<br />

(dead) 30 ++++ ++++ ++++ +++ -<br />

10 7 ++++ +++ + - -<br />

14 ++++ ++++ ++++ ++++ ++<br />

(mati) 30 ++++ ++++ ++++ ++++ +++<br />

Note: -: no change in the microanatomical structure (0%); +: there<br />

was a slight change in the microanatomical structure (1% -25%);<br />

+ +: there are changes in the microanatomical structure (26% -<br />

50%); + + +: occurred many changes in the microanatomical<br />

structure (51% -75%); + + + +: there are very many changes in<br />

the microanatomical structure (76% -100%).<br />

Gill cellular conditions experiencing edema (Figure<br />

2B), visible basement membrane began to stretch out, the<br />

field narrowing Lacuna cell deficiency causes gill function<br />

and difficulty in breathing process, so that the metabolism<br />

of the body began to fail. Edema is swelling of the cell or<br />

excessive accumulation of fluid in body tissues (Laksman<br />

2003). The presence of edema can cause fusion of<br />

secondary lamella of the lamella. In this study the<br />

occurrence of edema caused by the influx of Cd into the<br />

gills of A. woodiana resultied in the cell cell irritating so<br />

that the cell would swell.<br />

The process of entry of Cd into the gills by Palar<br />

(1994), together with other metal ions and the food that has<br />

been accumulated Cd, and will form ions that can dissolve<br />

in fat. Ions were able to penetrate the gill cell membrane,<br />

so it can get into the gills, and then there will be a process<br />

of loss of volume regulation in the cell. In this treatment<br />

were also seen pillar cells began to separate from the<br />

bottom of epithelial cells (middle lamella). When<br />

experiencing edema,l Cd accumulation in gills occurred at<br />

the accumulation of 0.5111 ppm.<br />

Gills in Figure 2C has undergone thorough hyperplasia<br />

and the fusion is taking place in two parts of the middle<br />

lamella, with a marked by the epithelial cells started to<br />

scarp, accompanied by the loss widened Lacuna red blood<br />

cells and pillar cells apart. Laksman (2003) says that<br />

hyperplasia is a process of formation of excessive tissue<br />

due to the increase in cell volume. Hyperplasia caused by<br />

excessive edema so that red blood cells out of kapilernya<br />

and separated from the backers. In the event this hyperplasia<br />

Cd accumulation began at 0.6829 ppm exposure level.<br />

Condition of cells and gill tissue had fused to lamella<br />

(Figure 2D), and began to show marked necrosis with<br />

epithelial cells in each lamella started together with<br />

epithelial cells on the other lamella, Lacuna also began to<br />

rupture causing respiratory function failure which affects<br />

the metabolism of A. woodiana. Secondary lamella fusion<br />

caused by the swelling in the cells of the gills (edema). The<br />

occurrence of secondary lamella fusion resulting in<br />

impaired function of the secondary lamella in the case of<br />

oxygen-making process and therefore contributes to the<br />

death of A. woodiana (Susilowati 2005). At a concentration<br />

of 5 ppm after 30 days A. woodiana experience death. In<br />

this incident the gills accumulate heavy metals at a<br />

concentration of 0.9280 ppm.<br />

At that last stage of a gill would experience the highest<br />

levels of damage, this damage can lead A. woodiana to<br />

experience the death of the level of necrosis and atrophy.<br />

Condition of cells and gill tissue necrosis and atrophy<br />

experienced (Figure 2E), characterized by the merging of<br />

each cell in lamella and lamella with bone loss starting<br />

institutions. Atrophy is a reduction (shrinking) the size of a<br />

cell, tissue, organ or body part (Harjono 1996). In this<br />

study occurred atrophy in primary lamella. Atrophy occurs<br />

due to experimental animals exposed to cadmium at high<br />

concentrations and in a long exposure time. Cells in<br />

primary lamella shrinkage (atrophy).<br />

Laksman (2003) states that the necrosis is cell’s death<br />

that occurrs due to hyperplasia and excessive fusion of<br />

secondary lamella, so that the gill tissue is no longer intact<br />

form or in other words necrosis occurs accompanied with<br />

the death of a biota. In the event necrosis and atrophy of<br />

the accumulated Cd in the gills of A. woodiana started at<br />

2.1279 ppm exposure and atrophy starting at the level of<br />

accumulation of 2.337 ppm.<br />

A B C D E<br />

Figure 2. Structural changes in gill cells A. woodiana. Note: A. Tues normal gills, B. Tues gill edema, C. Tues gill hyperplasia, D. Tues<br />

fusion gill lamella, E. Tues gill necrosis.


34<br />

3 (1): 28-35, March 2011<br />

Microanatomical changes in kidney of A. woodiana after<br />

exposure to Cd<br />

Changes in the microanatomical structure of the kidney<br />

of A. woodiana after administration of Cd are shown in<br />

Table 4. From this table, it is known that changes in<br />

cellular structure mikroanatomi kidneys began to occur at a<br />

concentration of 0.5 ppm for 7 days, edema of the tubules<br />

begin to appear and be perfect edema at 30 days and began<br />

to show more than 25% hyperplasia. Perfect hyperplasia is<br />

shown at a concentration of 1 ppm after 14 days of<br />

inspection, then the fusion epithelium of the kidney evenly<br />

shown at concentrations of 5 ppm after 30 days of inspection.<br />

Table 4. Changes in cellular structure of kidney mikroanatomi A.<br />

woodiana after exposure to heavy metals cadmium with<br />

haematoxylin-eosin staining preparation.<br />

Concentration<br />

(ppm)<br />

Time of<br />

surgery<br />

(Days)<br />

Edema Hyperplasia<br />

Fusion<br />

of<br />

lamella<br />

Necrosis<br />

0 7 - - - -<br />

14 - - - -<br />

30 - - - -<br />

0.5 7 + - - -<br />

14 +++ - - -<br />

30 ++++ ++ - -<br />

1 7 +++ + - -<br />

14 ++++ ++++ ++ -<br />

30 ++++ ++++ +++ -<br />

5 7 ++++ +++ ++ -<br />

14 ++++ ++++ +++ +<br />

(dead) 30 ++++ ++++ ++++ +++<br />

10 7 ++++ +++ +++ -<br />

14 ++++ ++++ ++++ +++<br />

(dead) 30 ++++ ++++ ++++ ++++<br />

Note: same as Table 9.<br />

The kidney cells have shown complete necrosis at a<br />

concentration of 10 ppm after 30 days, while the<br />

concentration of 5 ppm to 10 ppm starting from day 14 and<br />

day of the 30th state of A. woodiana have been many who<br />

experienced the death (LC50), so the kidneys and gills<br />

partially preserved in a freezer with a temperature of -4 ° C<br />

for further examination. In Figure 2A, are shown in the<br />

picture kidney that is still in normal circumstances from the<br />

control A. woodiana.<br />

Situation normal kidney cells and tissues in the control<br />

A. woodiana or the treatment of 0 ppm (Figure 3A), visible<br />

layer between cells in glomeruli and tubules and blood<br />

cells are still visible above and below normal. The metal<br />

accumulation in the kidney ranged from 0.0095 to 0.0242<br />

ppm. Cd pollution levels, according to FAO (1972) still in<br />

the normal category below the threshold of fishery water<br />

quality (1 ppm), so it can be said that the content of Cd in<br />

the kidneys of A. woodiana the control is still normal. State<br />

accumulation is still at normal levels it may also occur due<br />

to A. woodiana, located diantrara aduktor posterior kidney,<br />

heart and pericardium (Suwignyo et al. 2005). Kidney position<br />

located on the inside and is relatively protected from the<br />

environment cause the accumulation of Cd is relatively<br />

small when compared to the accumulation of Cd in the gills.<br />

In Figure 3B, indicated changes in cell structure that<br />

has undergone kidney mikroanatomi edema in all parts of<br />

the tubules to glomeruli (indicated by black color), and<br />

seems to bleed blood cells due to accumulated Cd logan<br />

continuously. In clinical edema in kidney cells caused by<br />

erasifikasi proteins in the renal tubules in the network, so<br />

that the urine comes out containing excessive protein<br />

(Anonymous 2008). In these conditions, the accumulation<br />

of Cd to the kidney began to be exposed at a concentration<br />

of 0.0200 ppm.<br />

Then on further changes, where the higher Cd exposure<br />

then suffered kidney cell hyperplasia (Figure 3C), which is<br />

marked by the outbreak of the tubules, and the resulting<br />

mixing of intra cell with extra fluid cell, and then also in<br />

the glomerulus looks very black, because the glomerulus<br />

has accumulated more Cd long, which will result in<br />

epitelnya cells will rupture at any time. Then the blood<br />

cells were also seen indicating blackish blood has been<br />

contaminated with Cd. The range of Cd accumulation in<br />

kidney condition hyperplasia began to occur on exposure of<br />

0.0849 ppm.<br />

Highest level of damage to the kidney, necrosis of<br />

kidney cells have shown in Figure 3D, which has entered<br />

the stage of renal cell necrosis seen any broken tubules,<br />

glomeruli also broken so that mixed the cells with extra<br />

fluid cells, and whole blood cells were blackened due to<br />

Acute accumulation of Cd.<br />

The content of Cd in kidney like this occured at the<br />

exposure of 0.0786 ppm.<br />

According to Atdjas (2008) accumulated Cd at the highest<br />

level will cause some kidney disorder that is poisoning the<br />

nephrons of the kidney (nephrotoxicity), proteinuria or<br />

protein in the form contained in the urine, diabetes where<br />

there is the content of glucose in the urine (glikosuria), and<br />

aminoasidiuria or amino acid content in the urine<br />

accompanied by a decline in kidney filtration rate glumerolus.<br />

A B C D<br />

Figure 3. Structural changes in renal cell woodiana. Notes: A. Tues normal gills, B. Tues gill edema, C. Tues fusion gill lamella, D.<br />

Tues gill necrosis


FITRIAWAN et al. – Effect of Cd on freshwater mussels A. woodiana 35<br />

CONCLUSION<br />

There is significant heavy metal accumulation of Cd in<br />

each treatment against the gill and kidney A. woodiana as<br />

evidenced by the Anova test data for 475.3> 60150.3 0.000<br />

and> 0.000 with an average significance level of 5% (P<br />


Vol. 3, No. 1, Pp. 36-43<br />

March 2011<br />

<strong>ISSN</strong>: <strong>2087</strong>-<strong>3940</strong> (print)<br />

<strong>ISSN</strong>: <strong>2087</strong>-<strong>3956</strong> (electronic)<br />

Site suitability to tourist use or management programs South Marsa<br />

Alam, Red Sea, Egypt<br />

MOHAMMED SHOKRY AHMED AMMAR 1,♥ , MOHAMMED HASSANEIN 2 ,<br />

HASHEM ABBAS MADKOUR 1 , AMRO ABD-ELHAMID ABD-ELGAWAD 2<br />

1 National Institute of Oceanography and Fisheries (NIOF), Suez, P.O. Box 182, Egypt. Tel. (Inst.) 0020 62 3360015. Fax. (Inst.) 0020 62 3360016. ♥<br />

Email: shokry_1@yahoo.com<br />

2<br />

Tourism Development Authority, Cairo, Egypt<br />

Manuscript received: 3 February 2011. Revision accepted: 3 March 2011.<br />

Abstract. Ammar MSA, Hassanein M, Madkour HA, Abd-Elgawad AE. 2011. Site suitability to tourist use or management programs<br />

South Marsa Alam, Red Sea, Egypt. Nusantara Bioscience 3: 36-43. Twenty sites in the southern Egyptian Red Sea (Marsa Alam-Ras<br />

Banas sector) were surveyed principally for sensitivity significance throughout the periode 2002-2003. Sensitivity of the study area was<br />

derived from internationally known criteria, the key words of each criterion and a brief description of its use was described. The present<br />

study assigned for the first time a numerical total environmental significance score that gives a full sensitivity significance evaluation for<br />

any site to decide to select either for tourist use or management purposes. However, the results of the study still have the availability to<br />

arrange sites with respect to one criterion or only two or many of the used criteria whichever needed. Sites selected for protection are<br />

categorized as belonging to the following protected area categories: sites 7, 10 (category vi), site 18 (category ib), site 5 (category iv),<br />

sites 16, 17 (category ii). Sites selected for tourist uses are suggested to be classified into 2 categories: first category sites (sites 1, 3, 8,<br />

11, 13, 15) which are recommended as tourist use sites with management of the sensitive resources beside non consumptive recreational<br />

activities like swimming, diving, boating, surfing, wind-surfing, jet skiing, bird watching, snorkelling, etc.; second category sites (sites<br />

2, 4, 6, 9, 12, 14, 19, 20) which are recommended as tourist use sites with both non consumptive and managed consumptive recreational<br />

activities like fishing.<br />

Key words: sensitivity significance, selection criteria, tourist use, management programs, Marsa Alam, Red Sea, Egypt<br />

Abstrak. Ammar MSA, Hassanein M, Abd-Elmegid AE. 2011. Kesesuaian untuk lokasi wisata atau program manajemen Marsa Alam<br />

Selatan, Laut Merah, Mesir. Nusantara Bioscience 3: 36-43. Dua puluh situs di Laut Merah bagian selatan Mesir (sektor Marsa Alam-<br />

Ras Banas) disurvei terutama untuk signifikansi sensitivitas sepanjang periode 2002-2003. Sensitivitas suatu daerah penelitian<br />

merupakan kriteria yang dikenal secara internasional, kata kunci setiap kriteria dan deskripsi singkat tentang penggunaannya dijelaskan.<br />

Penelitian ini dilakukan untuk pertama kalinya berupa skor nilai total signifikansi lingkungan yang memberikan arti evaluasi sensitivitas<br />

penuh untuk situs apapun untuk memutuskan memilih baik untuk tujuan wisata atau tujuan pengelolaan lainnya. Namun, hasil penelitian<br />

ini masih memiliki ketersediaan untuk mengatur situs-situs yang berkaitan dengan satu kriteria, hanya dua atau banyak dari kriteria yang<br />

digunakan mana yang diperlukan. Situs dipilih untuk perlindungan dikategorikan sebagai milik kategori kawasan lindung sebagai<br />

berikut: situs 7, 10 (kategori vi), situs 18 (kategori ib), situs 5 (kategori iv), situs 16, 17 (kategori ii). Situs yang dipilih untuk keperluan<br />

wisatawan disarankan harus diklasifikasikan menjadi dua kategori: situs kategori pertama (situs 1, 3, 8, 11, 13, 15) yang<br />

direkomendasikan sebagai situs menggunakan wisata dengan manajemen sumber daya sensitif di samping kegiatan rekreasi non<br />

konsumtif seperti berenang, menyelam, berperahu, berselancar, wind-surfing, jet ski, mengamati burung, snorkeling, dan lain-lain; situs<br />

kategori kedua (situs 2, 4, 6, 9, 12, 14, 19, 20) yang direkomendasikan sebagai tempat wisata baik kegiatan non konsumtif atau kegiatan<br />

rekreasi non konsumtif yang dikelola seperti memancing.<br />

Kata kunci: signifikansi sensitivitas, kriteria seleksi, kegunaan wisata, program manajemen, Marsa Alam Selatan, Laut Merah<br />

INTRODUCTION<br />

South Marsa Alam’s diverse coastal and marine<br />

environments are valuable community resource which may<br />

be good sites providing recreation and pleasure for visitors<br />

and tourists or scientific materials for scientists to do<br />

monitoring and conservation programs. There is no getting<br />

around the fact that tourism is huge, already categorized as<br />

the world’s largest industry and will continue to be the<br />

dominant developing force in the 21 st century (Hill 1998).<br />

As environmental conservation and protection is critically<br />

important in some sites, sustainable tourism is critically<br />

important as well since it may provide source of finance for<br />

parks and conservation, serve as an economic justification<br />

for park protection, offer local people economically sound<br />

and sustainable alternatives to natural resource depletion or<br />

destruction, promote conservation and build support with<br />

commercial constituencies (Hawkins 1998).<br />

Tourist uses includes a diversity of activities that take<br />

place in both coastal zone and coastal waters (Watson et al.<br />

2000), which involve the development of tourism<br />

capacities (hotels, resorts, second homes, restaurants, etc.)


AMMAR et al. – Tourist and management of South Marsa Alam, Egypt 37<br />

and support infrastructures (ports, marinas, fishing, diving<br />

shops and other facilities). Coastal recreation activities<br />

include two main types: consumptive and non-consumptive<br />

ones: Activities such as fishing, shell fishing and shell<br />

collection, etc. belong to the consumptive recreational uses<br />

while the non consumptive activities include swimming,<br />

diving, boating, surfing, wind-surfing, jet skiing, bird<br />

watching, snorkelling, etc (Porter and Bright 2003). Tourist<br />

uses is based on a unique resource combination at the<br />

interface of land and sea offering amenities such as water,<br />

beaches, scenic beauty, rich terrestrial and marine<br />

biodiversity, diversified cultural and historic heritage,<br />

healthy food and good infrastructure.<br />

Management programs are the programs that are used<br />

for preserving an area to provide lasting protection for part<br />

or all of the natural marine environments therein. IUCN<br />

(1994) defined the protected area as an area of land and/or<br />

sea especially dedicated to the protection and maintenance<br />

of biological diversity, and of natural and associated<br />

cultural resources, and managed through legal or other<br />

effective means. To help improve understanding and<br />

promote awareness of protected area purposes, IUCN has<br />

developed a six category system of protected areas<br />

identified by their primary management objective (IUCN<br />

1994) as follows:<br />

I. Strict Nature Reserve/Wilderness Area: Protected area<br />

managed mainly for science or wilderness protection.<br />

Ia. Strict Nature Reserve: Protected area managed mainly<br />

for science.<br />

Ib. Wilderness Area: Protected area managed mainly for<br />

wilderness protection.<br />

II. National Park: Protected area managed mainly for<br />

ecosystem protection and recreation.<br />

III. Natural Monument: Protected area managed mainly for<br />

conservation of specific natural features.<br />

IV. Habitat/Species Management Area: Protected area<br />

managed mainly for conservation through management<br />

intervention.<br />

V. Protected Landscape/Seascape: Protected area managed<br />

mainly for landscape/seascape conservation and<br />

recreation.<br />

VI. Managed Resource Protected Area: Protected area<br />

managed mainly for the sustainable use of natural<br />

ecosystem<br />

Carrying capacity is important to discuss on dealing<br />

with coastal sustainable tourism. The term "carrying<br />

capacity" is the number of organisms the resources of a<br />

given area can support over a given time period (MPA<br />

NEWS 2004). Adapted to tourism management, it has a<br />

similar meaning: the number of people who can use a given<br />

area without an unacceptable alteration in the physical<br />

environment. Carrying capacity can differ from site to site.<br />

Dixon et al. (1994), on analyzing coral cover, they<br />

estimated that the diver carrying capacity threshold for the<br />

Bonaire Marine Park is between 4000 and 6000 dives per<br />

site per year. Surveying the percent of damaged coral<br />

colonies in the Red Sea Ras Mohammed National Park,<br />

Hawkins and Roberts (1997) suggest 5000 to 6000 dives<br />

per site per year in the absence of a site specific data.<br />

Sampling a suite of invertebrates (hard corals, soft corals,<br />

sea fans, branching hydrocorals, and erect sponges),<br />

Chadwick-Furman (1996) found the threshold for diving<br />

sites in the US Virgin Islands to be only 500 dives per site<br />

per year and attributed this significantly lower estimate to<br />

the fragility of the various reef organisms in the study area.<br />

However, effective diver education programs can allow<br />

coral reef managers to increase carrying capacities (Medio<br />

et al. 1997). Mooring buoys and the management of the<br />

number of vessels using mooring buoys with respect to<br />

time and location are other effective tools coral reef<br />

managers use in reducing the anchor and diver damage to<br />

coral reefs.<br />

The purpose of this study is not to replace existing<br />

criteria with a new set, but to use existing frameworks for<br />

site selection to classify south Marsa Alam sites either for<br />

tourist use or management programs in order to assign sites<br />

either to EEAA (Egyptian Environmental Affairs Agency)<br />

for management purposes or to TDA (Tourism<br />

Development Authority) for tourist uses. It is also aimed to<br />

develop a total numerical value of sensitivity significance<br />

(by scoring and summing techniques) that can be used for<br />

site selection (tourist use or management programs), then<br />

using single criteria scoring for a particular management or<br />

tourist use.<br />

MATERIALS AND METHODS<br />

Twenty sites in the southern Egyptian Red Sea<br />

(between Marsa Alam and Ras Banas) were surveyed<br />

principally for sensitivity significance. The survey was<br />

conducted throughout the periode 2002-2003. The sites<br />

were determined by fixing more or less equal distances<br />

between them, however determining the position of sites<br />

was done during the preliminary survey. The area of study<br />

is shown in Figure 1.<br />

The ecological survey was performed using Scuba<br />

diving. For corals and other benthic fauna and flora, the<br />

transect line method applied by Rogers et al. (1983) was<br />

used by using a 30 m long tape for surveying the percent<br />

cover. The intercepted lengths of every individual coral and<br />

any other benthic organism or habitat were measured; these<br />

lengths are then used to calculate the percent cover using<br />

the formula:<br />

% cover = (intercepted length/transect length) * 100<br />

Three transects were used per depth zone and the<br />

average was calculated for all transects.<br />

For fishes, the stationary fish census applied by<br />

Bohnsack and Bannerot (1986) was used by using a 50 m<br />

long transect for the survey. Transects were laid parallel to<br />

the shore at 4 m depth in the deep reefs or just above the<br />

reef patch in case of the patchy reefs. The survey was<br />

basically done at 4m depth since it is the area of maximum<br />

fish abundance.<br />

Sensitivity significance of the study area is derived<br />

from internationally known criteria, however the key words<br />

of each criterion and a brief description of its use can be<br />

described as follow:<br />

Diversity (Ratcliffe 1977; IEEM 2006): large numbers<br />

of species, particularly when represented by large popu-


38<br />

3 (1): 36-43, March 2011<br />

lations are to be valued. A high species diversity is usually<br />

also reflected by a high diversity of different communities<br />

which show variation in environmental conditions.<br />

Rarity (Tubbs and Blackwood 1971; Wittig et al. 1983;<br />

Edwards-Jones et al. 2000): Applied to habitats or species<br />

where areas are limited, population numbers low or the<br />

habitat or species limited in distribution.<br />

Fragility (Ratcliffe 1977; IEEM 2006): Habitats or<br />

species vulnerable to disturbance and loss because of small<br />

area, low population or reliance on a single key resource.<br />

Ecological functions (IEEM 2006): Loss of ecological<br />

function of the physical conditions can be measured by<br />

calculating the area of vegetation that is removed or the<br />

area of nearshore habitat that is covered by the pier<br />

structure.<br />

Typicalness (Fandiño 1996; Edwards-Jones et al.<br />

2000): A measure of how well a site reflects all the habitats<br />

that are expected to occur in that geographical region.The<br />

more representative a site is of a region, the better.<br />

Naturalness (Ratcliffe 1977; IEEM 2006): Habitats<br />

largely unmodified by human activity (e.g. salt marsh,<br />

blanket bog).<br />

Scientific value (Wright 1977, Edwards-Jones et al.<br />

2000): The degree of interest of a natural area in terms of<br />

current or potential research. It may also be related to the<br />

extent to which a site has been used for past research. Sites<br />

with good histories (e.g., description of ecosystems’<br />

dynamics in the past 50 years) are more valuable to science<br />

because they enhance our understanding of ecology<br />

Environmental significance (IEEM 2006):<br />

Significance of the site to the environment where that<br />

significance is global, natural or local<br />

Scenic value (Ratcliffe 1977): The combination of<br />

landforms and habitats is identified as having high scenic<br />

value in the context of surrounding landscape<br />

Size (Ratcliffe 1977; IEEM 2006): In general, nature<br />

conservation value increases with size. Large sites in<br />

general contain more species and larger populations of<br />

animals and plants than small ones. Chance extinction of<br />

species, either as a result of natural or man-made factors, is<br />

reduced if a species is present in large numbers.<br />

Estimating sensitivity significance (developed by the<br />

author)<br />

An optimal sensitivity score (the optimal score) was<br />

supposed for each criterion; this was the score at which the<br />

site could be optimal. In addition, an estimated score was<br />

assigned to each crierion depending on how much the site<br />

meets the conditions of the optimal score, then all<br />

sensitivity scores for each site were summed to get the total<br />

sensitivity significance. Methods of how values have been<br />

assigned to each site per each criterion is described as<br />

follows (developed by the author) (Table 1).<br />

Diversity: Diversity value of 1 (according to Shannon-<br />

Wiener 1948 formula) was assigned a sensitivity<br />

significance score of 5, so .diverrsity value of 1.2 =<br />

estimated score of 6 (1.2*5) and so on.<br />

Rarity: Each 1% of rare biota, relative to the total<br />

abundance, was assigned a sensitivity significance score of<br />

10, so 0.2% rare biota or habitats = an estimated score of 2<br />

(0.2*10) and so on.<br />

Fragility: Each 1% fragile habitats (nesting, feeding,<br />

breeding), relative to the total cover, was given an optimal<br />

score of 10, so each 0.3% fragile habitats = an estimated<br />

score of 3 (0.3*10) and so on.<br />

Ecological function: Each 6.66% vital ecological<br />

function (vegetation or habitats not removed by physical<br />

conditions) was assigned a score of 1 (6.66/6.66), thus a<br />

vital ecological function of 26.64% will have an estimated<br />

score of 26.64/6.66 = an estimated score of 4 and so on.<br />

Typicalness: A site representing 80% of the number of<br />

the characteristic ecosystems of a geographical area was<br />

assigned a score of 10% (80/8), thus a site having 24%<br />

characteristic ecosystems will have an estimated score of<br />

24/8=3% and so on.<br />

Naturalness: A 10% virgin area (with no human<br />

caused alteration) was assigned a score of 1 (=10/10), thus<br />

a 30% virgin area has an estimated score of 30/10=3 and a<br />

virgin area of 50% has an estimated score of 50/10=5 and<br />

so on.<br />

Scientific value: A site used for scientific research for<br />

the past 10 years was assigned a score of 1 (=10/10), thus a<br />

site used for the past 30 years will have an estimated score<br />

of 3 (=30/10), a site used for the past 50 years will have an<br />

estimated score of 5 (=50/10) and so on.<br />

Environmental significance: Global significance was<br />

assigned a score of 3, each of national and local<br />

significance was given a score of 1.<br />

Scenic value: Scenic value of the landscape depends on<br />

the value of the following dimensions: 1-visual dimension<br />

2-geology 3-topography 4-soils 5-ecology 6-landscape<br />

history 7-Anthropology 8-architecture 9-culture<br />

associations 10-public places. A site that fulfil the scenic<br />

value with respect to those 10 items was assigned a score<br />

of 5 (=10/2), thus a site that fulfil 4 items will have an<br />

estimated score of 4/2=2, a site that fulfil 2 items will have<br />

an estimated score of 2/2=1 and so on.<br />

Size: Each 5000m 2 habitats was assigned a score of 1<br />

(=5000/5000), so a size of 10000m 2 will have an estimated<br />

score of 2 (10000/5000) and so on.<br />

List of sites and their positions<br />

Site 1. Marsa Nakry: 24 o 55`35.476”N, 34 o 57`40.993”E<br />

Site 2. between Marsa Nakry and Gabal Dorry:<br />

24 o 54`36.428”N, 34 o 58`25.453”E<br />

Site 3. 1 km south of Gabal Dorry: 24 o 47`33.942”N, 34 o 59`<br />

14.139”E<br />

Site 4. South Host Mark: 24 o 47`33.942”N, 35 o 01`58.197”E<br />

Site 5. Northern Sharmel Fokairy:<br />

Transect 1: 24 o 45`16.192”N, 35 o 03`55.792”E<br />

Transect 2: 24 o 45`22.126”N, 35 o 03`50.218” E<br />

Site 6. Southern Sharmel Fokairy: 24 o 38`20”N, 35 o 04`51” E<br />

Site 7. Sha’b North Ras Baghdadi:24 o 40`25``N,35 o 05`38``E<br />

Site 8. Northern Ras Baghdadi: 24 o 40`05.900”N,<br />

35 o 05`52.625”E<br />

Site 9. Southern Ras Baghdadi: 24 o 39`16.800”N,<br />

35 o 05`54.200”E<br />

Site 10. North Sharmel Loly: 24 o 36`50.460”N,<br />

35 o 06`59.248”E


AMMAR et al. – Tourist and management of South Marsa Alam, Egypt 39<br />

Site 11. Southern Sharmel Loly: 24 o 36`39.2666”N,<br />

35 o 07`08.795”E<br />

Site 12. North Hankourab: 24 o 34`49.624”N, 35 o 08`40.185”E<br />

Site13. South Hankourab: 24 o 33`23.20”N, 35 o 09`02.405”E<br />

Site 14. North Ummel Abas: 24 o 30`44.200”N,<br />

35 o 08`16.927”E<br />

Site 15. Middle Ummel Abas: 24 o 30`46.024”N,<br />

35 o 08`16.300”E<br />

Site 16. South Ummel Abas: 24 o 30`24.642”N,<br />

35 o 08`31.717”E<br />

Site 17. Wadi El-Mahara: 24 o 24`27.674”N, 35 o 13` 41.471” E<br />

Site 18. a mangroove area: 24 o 16`32.400”N, 35 o 3`15.815”E<br />

Site 19. South Hamata city: 24 o 16` 32.400” N, 35 o 23`<br />

15.815” E<br />

Site 20: Lahmy; South El-Gharabawy: 24 o 12`09.494”N,<br />

35 o 25`37.744”E<br />

RESULTS AND DISCUSSION<br />

Site priorities for management and protection<br />

Dealing with the total assigned value of sensitivity<br />

significance and considering sensitivity significance score<br />

≥ 50 to be suitable for management purposes, the following<br />

site priorities are suggested for management purposes: sites<br />

10, 7, 18, 17, 5 and 16 having significant scores of 86, 77,<br />

73, 61, 57 and 54 respectively. However, dealing with each<br />

criterion separately, site 10 has first priority for managing<br />

diversity and rarity; site 18 for fragility; sites 7, 10, 18 for<br />

ecological functions, scientific value, and environmental<br />

significance; sites 7, 10 for typicalness and size; site 10 for<br />

naturalness; site 18 for scenic value. Moreover, if we used<br />

many few of the used criteria, we'll have different site<br />

priorities according to the criteria selected for comparison.<br />

1<br />

2 3<br />

4 5<br />

67 8 9<br />

10<br />

11<br />

12<br />

13<br />

14<br />

15<br />

16<br />

17<br />

18<br />

19<br />

20<br />

Figure 1. Location of the study area South Marsa Alam (from Marsa Alam to Ras Banas) on the Egyptian Red Sea.


40<br />

3 (1): 36-43, March 2011<br />

Also, choosing a higher number of criteria used for<br />

comparison gives rise to shefting the priority into the site<br />

that is appropriate to most of the used criteria.<br />

Site priorities for tourist uses<br />

Acoording to the total assigned sensitivity<br />

significance and considering a sensitivity<br />

significance score < 50 to be suitable for<br />

touristic use, 16 sites were selected are<br />

suggested for touristc uses. As many of these<br />

sites have some sensitive resources, these sites<br />

are suggested to be divided into two categories:<br />

first category sites includes sites with some<br />

sensitive resources and with 30 ≤ sensitivity<br />

significance < 50, second category sites include<br />

sites without sensitive resources and with<br />

sensitivity significance < 30. First category sites<br />

are sites 1, 3, 8, 11, 13, 15. Second category<br />

sites are sites 2, 4, 6, 9, 12, 14, 19, 20. Sensitive<br />

habitats for first category sites are rarity for site<br />

1, diversity and rarity for site 3, fragility for site<br />

8, diversity for site 11 and typicalness for site<br />

13.<br />

Site description<br />

Site 1 (Marsa Nakry) is characterized by a<br />

95% degraded reef flat, 38% dead corals with<br />

increase in the hydrocoral Millepora dichotoma<br />

at 1-5m zone. However, one threatened manta<br />

ray (Taenura lymma) was observed. Site 2 is<br />

very poor and far from the shore with increased<br />

algae, sands and dead corals. Site 3 has 45%<br />

dead corals and one threatened stingray<br />

(Taenura lymma). Site 4 is dominated with<br />

algae while site 5 is characterized by two main<br />

ecosystems: a coral reef ecosystem and a<br />

seagrass ecosystem, 38.5% live corals, 66.5%<br />

dead corals and one threatened threatened<br />

Manta Ray (Himantura uarnak). Site 6 has the<br />

shoreline heavily condensed with quite a lot<br />

amount of plastic bags, glass and plastic bottles,<br />

wood pieces, steel pieces, robes, old shoes,<br />

small and big canes with a very poor marine<br />

life. Site 7 has 65% live corals, 14% dead corals<br />

and one endangered reptile, (the green turtle<br />

Chelonia mydas. Site 8 has 20% live corals and<br />

55% dead corals, site 9 has 46.5% live corals<br />

and 50% dead corals while site 10 has 91% live<br />

corals and 5% dead corals. Sites 11 and 12 have<br />

a poor marine life except some algae and spots<br />

of corals while site 13 is a clean sandy beach<br />

with few small coral patches having 47% dead<br />

corals and 35% live corals. Site 14 is mostly<br />

sand with few patches of algae, sea grasses and<br />

a well developed reef. Site 15 has a seagrass<br />

patch, a small reef patch suffering from old<br />

dynamite fishing and a lot of deep crab niches<br />

on the shoreline while site 16 has a fringing<br />

reef, a patch reef and a barrier reef with a<br />

seagrass bed in between. Site 17 has a a<br />

degraded reef flat, with 40% live corals, 30% dead corals<br />

with juveniles of the threatened organ pipe coral Tubipora<br />

musica attaching rocks, dead corals and rubble on the reef<br />

crest, fishes were mostly of large sizes. while site 18 has<br />

heavily condensed mangrove trees on both land and water<br />

Table 1. Environmental sensitivity of each of the studied sites<br />

Zone<br />

Div Rar Frag EcFu Typ Nat SciVa EnSi SceVa Size Tot<br />

(15) (15) (15) (15) (10) (10) (5) (5) (5) (5) (100)<br />

Site 1 1 1 0.3 26.64 24 30 30 4<br />

5 10 3 4 3 3 3 3 2 2 38<br />

Site 2 1.2 0.2 0.2 13.32 24 30 20 4<br />

6 2 2 2 3 3 2 2 2 4 28<br />

Site 3 1.6 1 0.3 19.98 24 30 20 4<br />

8 10 3 3 3 3 2 2 2 4 40<br />

Site 4 0.4 0 0 6.66 0 0 10 4<br />

2 0 0 1 0 0 1 2 2 1 9<br />

Site 5 1.2 0.9 1 59.94 64 50 30 4<br />

6 9 10 9 8 5 3 2 2 3 57<br />

Site 6 1 0.2 0.2 6.66 0 30 20 2<br />

5 2 2 1 0 3 2 1 1 2 19<br />

Site 7 2.4 1 0.9 86.58 80 70 40 6<br />

12 10 9 13 10 7 4 4 3 5 77<br />

Site 8 1.4 0 0.9 39.96 48 30 30 4<br />

7 0 9 6 6 3 3 3 2 3 42<br />

Site 9 1 0 0 33.3 32 20 10 2<br />

5 0 0 5 4 2 1 1 1 3 22<br />

Site 10 3 1.4 1 86.58 80 80 40 6<br />

15 14 10 13 10 8 4 4 3 5 86<br />

Site 11 1.4 0.4 0.4 26.64 24 30 30 4<br />

7 4 4 4 3 3 3 3 2 3 36<br />

Site 12 0.6<br />

3<br />

0<br />

0<br />

0<br />

0<br />

0<br />

0<br />

16<br />

2<br />

30<br />

3<br />

20<br />

2 2<br />

6<br />

3 3 18<br />

Site 13 1 0.6 0.5 39.96 40 30 20 4<br />

5 6 5 6 5 3 2 2 2 2 38<br />

Site 14 0.6 0.1 0.3 19.98 24 10 10 2<br />

3 1 3 3 3 1 1 1 1 1 18<br />

Site 15 1.2 0.3 0.9 59.94 24 30 20 4<br />

6 3 9 9 3 3 2 2 2 2 41<br />

Site 16 1.6 0.3 1 79.92 48 20 30 6<br />

8 3 10 12 6 2 3 3 3 4 54<br />

Site 17 1.4<br />

7<br />

1.3<br />

13<br />

0.9<br />

9<br />

66.6<br />

10<br />

48<br />

6<br />

40<br />

4<br />

30<br />

3 3<br />

4<br />

2 4 61<br />

Site 18 2.6 0.4 1.3 86.58 64 60 40 8<br />

13 4 13 13 8 6 4 4 4 4 73<br />

Site 19 1.6<br />

8<br />

0<br />

0<br />

0<br />

0<br />

0<br />

0<br />

24<br />

3<br />

40<br />

4<br />

40<br />

4 2<br />

4<br />

2 3 26<br />

Site 20 0.8<br />

4<br />

0<br />

0<br />

0<br />

0<br />

0<br />

0<br />

16<br />

2<br />

30<br />

3<br />

20<br />

2 2<br />

2<br />

1 2 16<br />

Note: Div = diversity, Rar = rarity, Frag = fragility, EcFu = Ecological function, Typ =<br />

typicalness, Nat = naturalness, SciVa = scientific value, EnSi = environmental<br />

significance, SceVa = scenic value, Tot = total. Site 2 = between Marsa Nakry and<br />

Dorry. Values in parenthesis are the optimum score for each criterion. Diversity: upper<br />

value in the table is the Shannon estimate of diversity, lower value is the estimated<br />

score. Rarity: upper value in the table is the percent rare biota or habitats, lower value<br />

is the estimated score. Fragility: upper value is the percent fragile habitats, lower value<br />

is the estimated score. Ecological function: upper value is the percent non removed<br />

vegetation or habitats, lower value is the estimated score. Typicalness: upper value is<br />

the percent of characteristic ecosystems of a geographical area, lower value is the<br />

estimated score. Naturalness: upper value is the percent of area of no human caused<br />

alteration, lower value is the estimated score. Scientific value: upper value is the<br />

number of past years the site has been used for scientific researches, lower value is the<br />

estimated score. Environmental significance: values in the table are the estimated<br />

scores. Scenic value: upper value is the number of items the site fulfil for scenic value,<br />

lower value is the estimated score. Size: values in the table are the estimated scores.


AMMAR et al. – Tourist and management of South Marsa Alam, Egypt 41<br />

beside having seagrasses (10% of the bottom cover). Site<br />

19 is characterized by a dirty shoreline full of plastic bags,<br />

robs, bottles and canes with a very poor reef while site 20<br />

is a typical example of sandy beach having also a trace of<br />

an old reef completely degraded and buried with sand.<br />

Approaching a total mathematical sensitivity<br />

significance score<br />

Evaluation of sensitivity significance criteria in the<br />

previous studies dealt just phonetically with each criterion<br />

separately like for example Ratcliffe (1977), IEEM (2006)<br />

for evaluation of diversity as high, medium or low, fragility<br />

as reversible or irreversible, naturalness as virgin, semivirgin<br />

or altered, size as large, medium or small. Other<br />

criteria were phonetically evaluated like Tubbs and<br />

Blackwood for evaluation of rarity; IEEM (2006) for<br />

ecological functions; Fandiño (1996) and Edwards-Jones et<br />

al. (2000) for typicalness; Wright (1977) and Edwards-<br />

Jones et al. (2000) for scientific value; IEEM (2006) for<br />

environmental significance; Ratcliffe (1977) for scenic<br />

value. Such phonetic evaluation can only deal with each<br />

criterion separately making it difficult to compare several<br />

sites for a group of criteria together, in turn making it<br />

difficult to arrange those group of sites according to their<br />

importance with respect to several criteria. The present<br />

study solved that problem by assigning for the first time a<br />

numerical score for each criterion (explained in the<br />

material and methods section), then summing all<br />

mathematical scores to give a total sensitivity significance<br />

score. However, the study still has the availability to<br />

arrange the sites with respect to one criterion or only two or<br />

many of the used criteria whichever needed according to<br />

the management purpose. Although Croom and Crosby<br />

(1998) mentioned that scoring and summing techniques<br />

was used to minimize the personal bias, he used scoring<br />

and summing techniques with respect to only one separate<br />

criterion e.g. rarity. Approaching a total sensitivity<br />

significance score in the present study is important to select<br />

a site that is much appropriate with most of the used<br />

criteria. Salm and Clark (1984) and Ray and Legates<br />

(1998) expected that extremely complicated scoring and<br />

summing techniques may seem the most objective and<br />

defensible way to choose a priority site. They further<br />

related the reason of using a simple assessment system to<br />

the fact that it is easier to use, requires fewer resources and<br />

can be evaluated by a diverse group of individuals with<br />

varying levels of expertise.<br />

Site priorities for management purposes<br />

Since priorities for site selection with respect to a single<br />

criterion differ from those given on using another criterion<br />

and from those given on using the total sensitivity<br />

significance; it is important, after selecting sites for<br />

management purposes, to use the appropriate criterion for<br />

selecting the appropriate site for the appropriate<br />

management. Parkes (1990) favoured the rating of<br />

individual assets, but differed in how multiple values at a<br />

site should be reconciled. He suggested that, where a site<br />

has several assets of varying levels of biological<br />

significance, the site rating should be based on the value of<br />

the dominant asset at the site, or the majority of assets at<br />

the site. Selection criteria can be used to order candidate<br />

sites according to priority in the selection process (Nilsson<br />

1998). However, the present study has been directed<br />

mainly to solve the struggle between EEAA (Egyptian<br />

Environmental Affairs Agency) and TDA (Tourist<br />

Development Authority) for attaining as many sites as<br />

possible to EEAA for management purposes or to TDA for<br />

tourist uses. Therefore, it was important to think in<br />

developing a numerical total environmental significance<br />

score by which we can decide either to assign the site for<br />

EEAA or for TDA. Latimer (2009) stated that the use of<br />

precise numerical criteria, or indices for the evaluation of<br />

size, diversity or rarity could provide a guideline reference<br />

scale, he further mentioned that professional judgement is<br />

also important. According to the purpose of the study and<br />

considering a total sensitivity significance ≥50 to be<br />

significant and appropriate for assigning the site for<br />

management (protection) purposes, priorities of site<br />

selection assigned for management purposes are site 10,<br />

site 7, site 18, site 17, site 5 and site 16, other sites are<br />

assigned for touristic uses.<br />

Categorization, carrying capacity and management<br />

objectives of sites selected for management purposes<br />

Although sites 7 and 10 have high sensitivity<br />

significance with respect to all criteria, they are<br />

recommended as managed resource protected areas<br />

(category VI) since they contain fishing communities and<br />

fishing activities. It is important to sustain fishery resources<br />

by restricting fishing activities seasonally or temporarily to<br />

let the areas recover. Areas managed to sustain fisheries are<br />

very rarely promoted to MPAs, but there are exceptions<br />

like the fish habitat reserves in Australia. Site 18 having the<br />

highest sensitivity significance with respect to fragility and<br />

ecological functions, and being inhabited with mangrove<br />

trees, is recommended as wilderness area (category Ib)<br />

which is managed mainly for wilderness protection. Sites 7,<br />

10 and 18 having fragile habitats should have a diver<br />

carrying capacity threshold of 500 dives per site per year<br />

according to Chadwick-Furman (1996). However, site 5<br />

has considerable sensitivity significance with respect to<br />

fragility and ecological functions, being inhabited with the<br />

fragile seagrasses, it is recommended as habitat/species<br />

management area (protected area, category IV). Similar to<br />

sites 7, 10, 18; site 5 should have a diver carrying capacity<br />

of 500 dives per site per year. Sites 16 and 17 though<br />

having considerable sensitivity significance with respect to<br />

diversity, rarity, fragility, ecological functions and<br />

typicalness, they are recommended as national park<br />

(protected areas, category II) since they have a significant<br />

size which will increase their diver carrying capacity so as<br />

to tolerate recreation. According to Dixon et al. (1994) in<br />

Bonaire Marine Park and Hawkins and Roberts (1997) in<br />

Ras Mohammed National Park, sites 16 and 17 should have<br />

a diver carrying capacity of 4000-6000 dives per site per<br />

year. A matrix of management objectives in the sites<br />

assigned as protected areas are explained (Table 2)<br />

according to IUCN (1994).


42<br />

3 (1): 36-43, March 2011<br />

Table 2. Management objectives of sites selected for management purposes<br />

Management objective<br />

Sites 7, 10 Site 18 Site 5 Sites 16, 17<br />

Category VI Category Ib Category IV Category II<br />

Scientific research 3 3 2 2<br />

Wilderness protection 2 1 3 2<br />

Preservation of species and genetic diversity (biodiversity) 1 2 1 1<br />

Maintenance of environmental services 1 1 1 1<br />

Protection of specific natural / cultural features 3 – 3 2<br />

Tourism and recreation 3 2 3 1<br />

Education 3 – 2 2<br />

Sustainable use of resources from natural ecosystems 1 3 2 3<br />

Maintenance of cultural/traditional attributes 2 – – –<br />

Note: 1 = Primary objective; 2 = Secondary objective; 3 = Potentially applicable objective; – = not applicable.<br />

Site priorities for tourist uses<br />

Sites classified as first category sites (sites 1, 3, 8, 11,<br />

13 and 15) are recommended as tourist use sites with<br />

management of the sensitive resources and non<br />

consumptive recreational activities like swimming, diving,<br />

boating, surfing, wind -surfing, jet skiing, bird watching,<br />

snorkelling, etc. Locations of recreational activities could<br />

have a carrying capacity of up to 6000 dives per site per<br />

year (Roberts 1997) while in the sensitive locations, it<br />

should not exceed 500 dives per site per year (Chadwick-<br />

Furman 1996). However, effective diver education<br />

programs can allow coral reef managers to increase<br />

carrying capacities (Medio et al. 1997), also mooring buoys<br />

and the management of the number of vessels using<br />

mooring buoys with respect to time and location are other<br />

effective tools coral reef managers use in reducing the<br />

anchor and diver damage to coral reefs. Management of<br />

sensitive habitats in first category of tourist use sites<br />

includes protection of rarity for sites 1, diversity and rarity<br />

for site 3, fragility for site 8, diversity for site 11 and<br />

typicalness for site 13. Second category sites (sites 2, 4, 6,<br />

9, 12, 14, 19 and 20) are recommended as tourist use sites<br />

with non consumptive and managed consumptive<br />

recreational activities like fishing. Diver carrying capacity<br />

of these sites could approach 6000 dives per site per year.<br />

Site 4 having the lowest sensitivity significance and most<br />

minimum values with respect to every sensitivity criterion<br />

is suggested to allocate a part of it for building an artificial<br />

reef to restore the damaged ones (Ammar 2009a).<br />

Site description<br />

Damaged reef flat in site 1 is due to the absence of reef<br />

access points to deep water. Ammar (2009b) indicated the<br />

importance of reef access points in his assessment of some<br />

coral reef sites along the Gulf of Aqaba, Egypt. Increased<br />

algae and sands in site 2 with increased dead corals agree<br />

with Pearson (1981) and Nezali et al. (1998) that algae are<br />

among the most important factors which can influence<br />

coral recolonization. The high percentage cover of the<br />

hydrocoral Millepora dichotoma at 1-5m depth in Marsa<br />

Nakry as well as in other sites having that species, agrees<br />

with the finding of Ammar (2004) that, Millepora sp. (a<br />

hydrocoral) prefers high illumination and has a strong<br />

skeletal density to tolerate strong waves. The relatively low<br />

sensitivity significance in spite of the presence of the<br />

threatened species (the blue spotted stingray Taenura<br />

lymma) in sites 1 and 3, indicates the importance of using a<br />

particular criterion when dealing with a particular<br />

management purpose. The green turtle Chelonia mydas<br />

found in site 7 is categorized as a taxon having an<br />

observed, estimated, inferred or suspected reduction of at<br />

least 80% over the last 10 years or three generations,<br />

whichever is the longer (IUCN 2002). The lower recorded<br />

amount of dead corals in site 10 (Sharm El Loly) though it<br />

is highly used by fishing boats, is due to the fact that these<br />

boats anchor on the inlet terminal, away from the reef and<br />

go to open water through the middle of the inlet. Reporting<br />

juveniles of the vulnerable organ pipe coral Tubipora<br />

musica in site 17 (Wadi El-Mahara) is the reason of<br />

increased sensitivity significance with respect to rarity in<br />

that site. Ammar (2005) categorized the organ pipe coral<br />

Tubipora musica as vulnerable according to IUCN (2001),<br />

as there is an estimated population size reduction of ≥ 50%<br />

over the last 10 years, based on the index of abundance and<br />

the decline in area of occupancy. Site 18 having a<br />

mangrove ecosystem, a seagrass ecosystem and a coral reef<br />

ecosystem integrating together helped to increase most of<br />

the selection criteria, in turn increasing the overall<br />

sensitivity significance. Broody (1998) stated that selection<br />

criteria help to provide a rational basis for choosing among<br />

potential sites.<br />

CONCLUSIONS<br />

The present study approached for the first time a<br />

numerical total sensitivity significance score for each site<br />

to select a site that is much appropriate with most of the<br />

used criteria. This is important to classify a group of sites<br />

to be suitable either for tourist use or management<br />

purposes. Since priorities for site selection differ from one<br />

sensitivity criterion to the other and from the total<br />

sensitivity significance, it is important, after selecting a site<br />

for management (using the total sensitivity significance), to<br />

specify the appropriate criterion for deciding the<br />

appropriate management purpose per site. Sites selected for<br />

management (protection) purposes are categorized as<br />

belonging to the following protected area categories: sites<br />

7, 10 (category vi), site 18 (category ib), site 5 (category<br />

iv), sites 16, 17 (category ii). Sites selected for tourist uses<br />

are classified into 2 categories: 1- First category sites (sites


AMMAR et al. – Tourist and management of South Marsa Alam, Egypt 43<br />

1, 3, 8, 11, 13, 15) which are recommended as tourist use<br />

sites with management of the sensitive resources and non<br />

consumptive recreational activities like swimming, diving,<br />

boating, surfing, wind -surfing, jet skiing, bird watching,<br />

snorkelling, etc. 2- Second category sites (sites 2, 4, 6, 9,<br />

12, 14, 19, 20) which are recommended as tourist use sites<br />

with non consumptive and managed consumptive<br />

recreational activities like fishing.<br />

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Fodor M (eds). Coral reefs: challenges and opportunities for<br />

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Hawkins JP, Roberts CM. 1997. Estimating the carrying capacity of coral<br />

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O’Sullivan G, Geenen K (eds). Proceedings of the Second<br />

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Watson AE, Cole DN, Turner DL, Reynolds PS. 2000. Wilderness<br />

recreation use estimation; a handbook of methods and systems.<br />

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Agriculture-Forest Service, Rocky Mountain Research Station.<br />

Ogden, Utah.<br />

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potential nature reserves. Biol Conserv 11: 293-305.


Vol. 3, No. 1, Pp.: 44-58<br />

March 2011<br />

<strong>ISSN</strong>: <strong>2087</strong>-<strong>3940</strong> (print)<br />

<strong>ISSN</strong>: <strong>2087</strong>-<strong>3956</strong> (electronic)<br />

Review: Natural products from Genus Selaginella (Selaginellaceae)<br />

AHMAD DWI SETYAWAN ♥<br />

Department of Biology, Faculty of Mathematics and Natural Sciences, Sebelas Maret University, Surakarta 57126. Jl. Ir. Sutami 36A Surakarta 57126,<br />

Tel./fax. +62-271-663375, email: volatileoils@gmail.com<br />

Manuscript received: 28 Augustus 2010. Revision accepted: 4 October 2010.<br />

Abstract. Setyawan AD. 2011. Natural products from Genus Selaginella (Selaginellaceae). Nusantara Bioscience 3: 44-58. Selaginella<br />

is a potent medicinal-stuff, which contains diverse of natural products such as alkaloid, phenolic (flavonoid), and terpenoid. This species<br />

is traditionally used to cure several diseases especially for wound, after childbirth, and menstrual disorder. Biflavonoid, a dimeric form<br />

of flavonoids, is the most valuable natural products of Selaginella, which constituted at least 13 compounds, namely amentoflavone,<br />

2',8''-biapigenin, delicaflavone, ginkgetin, heveaflavone, hinokiflavone, isocryptomerin, kayaflavone, ochnaflavone, podocarpusflavone<br />

A, robustaflavone, sumaflavone, and taiwaniaflavone. Ecologically, plants use biflavonoid to response environmental condition such as<br />

defense against pests, diseases, herbivory, and competitions; while human medically use biflavonoid especially for antioxidant, antiinflammatory,<br />

and anti carcinogenic. Selaginella also contains valuable disaccharide, namely trehalose that has long been known for<br />

protecting from desiccation and allows surviving severe environmental stress. The compound has very prospects as molecular stabilizer<br />

in the industries based bioresources.<br />

Key words: natural products, biflavonoid, trehalose, Selaginella.<br />

Abstrak. Setyawan AD. 2011. Bahan alam dari Genus Selaginella (Selaginellaceae). Nusantara Bioscience 3: 44-58. Selaginella adalah<br />

bahan baku obat yang potensial, yang mengandung beragam metabolit sekunder seperti alkaloid, fenolik (flavonoid), dan terpenoid.<br />

Spesies ini secara tradisional digunakan untuk menyembuhkan beberapa penyakit terutama untuk luka, nifas, dan gangguan haid.<br />

Biflavonoid, suatu bentuk dimer dari flavonoid, adalah salah satu produk alam yang paling berharga dari Selaginella, yang meliputi<br />

sekurang-kurangnya 13 senyawa, yaitu amentoflavone, 2',8''-biapigenin, delicaflavone, ginkgetin, heveaflavone, hinokiflavone,<br />

isocryptomerin, kayaflavone, ochnaflavone, podocarpusflavone A, robustaflavone, sumaflavone, dan taiwaniaflavone. Secara ekologis,<br />

tumbuhan menggunakan biflavonoid untuk merespon kondisi lingkungan seperti pertahanan terhadap hama, penyakit, herbivora, dan<br />

kompetisi, sedangkan manusia menggunakan biflavonoid secara medis terutama untuk antioksidan, anti-inflamasi, dan anti<br />

karsinogenik. Selaginella juga mengandung trehalosa suatu disakarida yang telah lama dikenal untuk melindungi dari pengeringan dan<br />

memungkinkan bertahan terhadap tekanan lingkungan hidup yang keras. Senyawa ini sangat berpotensi sebagai stabilizer molekul<br />

dalam industri berbasis sumberdaya hayati.<br />

Kata kunci: produk alami, biflavonoid, trehalosa, Selaginella.<br />

INTRODUCTION<br />

Medicinal plant is plant containing substance which can<br />

be used for the medication or become precursor of drug<br />

synthesis (Sofowora 1982). Medicinal plant has been<br />

source of human health since ancient time, whereas about<br />

60-75% of world populations require plant for carrying<br />

health (Farnsworth 1994; Joy et al. 1998; Harvey 2000).<br />

Plants and microbes are the main source of natural products<br />

(Hayashi et al. 1997; Armaka et al. 1999; Lin et al.<br />

1999a,b; Basso et al. 2005), and consistently become main<br />

source of the newest drugs (Harvey 2000). The drug<br />

development from natural sources are based on the<br />

bioassay-guided isolation of natural products, due to the<br />

traditional uses of local plants (ethnobotanical and<br />

ethanopharmacological applications) (Atta-ur-Rahman and<br />

Choudhary 1999).<br />

Traditional medication system by using plant medicines<br />

has been developed during thousands of year especially by<br />

Chinese (Wu-Hsing) and India (Ayurveda, Unani and<br />

Siddha) (Peter 2004; Ahmad et al. 2006), while the most<br />

advanced, widespread and oldest traditional medication<br />

system in Nusantara or Malay Archipelago (Malesia) is<br />

jamu which developed by Javanese. Jamu contains several<br />

recipes that compiled by about 30 plant species. Relief at<br />

Borobudur temple about making jamu indicates that jamu<br />

has been widely recognized since early 9 th century (Jansen<br />

1993). This system has been documented for centuries in<br />

many serat and primbon, Javanese literary (Soedibjo 1989,<br />

1990; Sutarjadi 1990); and spreaded by trading, migration<br />

and expansion of several kingdoms such as Mataram Hindu<br />

(Sanjaya), Srivijaya (Saylendra) and Majapahit.<br />

Selaginella Pal. Beauv. (Selaginellaceae Reichb.) has<br />

been used as complementary and alternative medicines in<br />

several traditional medication. This matter is traditionally<br />

used to cure wound, after childbirth, menstrual disorder,<br />

skin disease, headache, fever, infection of exhalation<br />

channel, infection of urethra, cirrhosis, cancer, rheumatism,<br />

bone fracture, etc. Part to be used is entire plant, though<br />

only referred as leaves or herbs (Setyawan 2009; Setyawan


SETYAWAN – Natural products of Selaginella 45<br />

and Darusman 2008). The usage can be conducted single or<br />

combination, fresh or dried, direct eaten or boiled<br />

(Dalimartha 1999; Wijayakusuma 2004). This plant has<br />

sweet taste and gives warm effect on the body (Bensky et<br />

al. 2004). The use of Selaginella as medicinal matter is<br />

occurred in the entire world. The largest usage is conducted<br />

by Chinese, especially for S. tamariscina, S. doederleinii,<br />

S. moellendorffii, S. uncinata, and S. involvens (Lin et al.<br />

1991; Chang et al. 2000; Wang and Wang 2001).<br />

Unfortunately, Selaginella is rarely exploited in Nusantara.<br />

Traditional jamu of Java use more cultivated spices and<br />

rhizomes than wild herbs or grasses.<br />

Plant medicinal properties are contributed by natural<br />

products or secondary metabolites, such as phenolic<br />

(flavonoid), alkaloid, terpenoid, as well as non protein<br />

amino acid (Smith 1976). Natural products are chemical<br />

compounds or substances produced by a living organism<br />

and found in nature that usually has a biological activity for<br />

use in pharmaceutical drug discovery and drug design<br />

(Cutler and Cutler 2000). In this following discourse, the<br />

authors studied diversity of natural products from<br />

Selaginella, especially biflavonoid and trehalose<br />

compounds; and biological activity of Selaginella’s<br />

bifavonoid in modern medication.<br />

NATURAL PRODUCTS DIVERSITY<br />

Previous phytochemical studies on the constituents of<br />

genus Selaginella leds to the discovery of many<br />

compounds, including biflavonoids, the main secondary<br />

metabolite of Selaginella (Sun et al. 1997; Silva et al. 1995;<br />

Chen et al. 2005b; Lin et al. 1994; 2000). Biflavonoid has<br />

also distributed to Selaginellales, Psilotales, and<br />

Gymnosperms (Seigler 1998), several Bryophytes and<br />

about 15 families of Angiosperms (DNP 1992). The other<br />

compounds are including lignin (White and Towers 1967);<br />

lignan (Lin et al. 1994), lignanoside (Lin et al. 1990; Zheng<br />

et al. 2004, 2008b), alkaloid (Zheng et al. 2004; Lin et al.<br />

1997), selaginellin (Zhang et al. 2007; Cheng et al. 2008),<br />

glycosides (Man and Takahashi 2002; Zhu et al. 2008),<br />

glucosides (Dai et al. 2006; Yuan et al. 2008), C-<br />

glycosylflavones (Richardson et al. 1989), etc. Selaginella<br />

species of Java contains alkaloid, phenolic (flavonoid,<br />

tannin, saponin), and terpenoid (triterpene, steroid)<br />

(Chikmawati and Miftahudin. 2008; Chikmawati et al.<br />

2008). Some species of Japan consist of a steroid type<br />

namely ekdisteroid (Takemoto et al. 1967, Hikino et al.<br />

1973; Yen et al. 1974). The diversity and content of other<br />

compound is relatively lower than biflavonoid,<br />

nevertheless they have also certain bioactivities.<br />

Water extracts of S. tamariscina also has several natural<br />

products such as ferulic acid, caffeic acid, vanillic acid,<br />

syringic acid, umbelliferone (Bi et al. 2004b);<br />

tamariscinoside A, tamariscinoside B, adenosine,<br />

guanosine, arbutin (Bi el al. 2004a); tamariscinoside C,<br />

tyrosine, D-mannitol, and shikimic acid (Zheng et al.<br />

2004). The EtOH extract of the whole herbs of S.<br />

tamariscina that fractionated by chloroform and ethyl<br />

acetate contains selaginellin A and selaginellin B (Cheng et<br />

al. 2008). The main constituen of S. tamariscina<br />

subsequently is amentoflavone, robustaflavone, bilobetin,<br />

hinokiflavone, isocryptomerin and an apigenin-diglucoside<br />

(Yuan et al. 2008). S. tamariscina has also many sterols<br />

that inhibit the growth of human leukemia HL-60 cells<br />

indicating anti cancer property (Gao et al. 2007). The aerial<br />

parts of S. pulvinata has steroid constituent (Zheng et al.<br />

2007), and several Selaginella has also sterol (Chiu et al.<br />

1988). Steroid compound namely ekdisteroid has been<br />

found in Japanese species of S. deliculata, S. doederleinii,<br />

S. moellendorffii, S. nipponica, S. involvens (= S.<br />

pachystachys), S. stauntoniana (= S. pseudo-involvens), S.<br />

remotifolia var. japonica, S. tamariscina, and S. uncinata<br />

(Takemoto et al. 1967; Hikino et al. 1973; Yen et al. 1974).<br />

Methanolic extract of S. lepidophylla contains 3-<br />

methylenhydroxy-5-methoxy-2,4-dihydroxy tetrahydrofurane,<br />

which can a slight inhibitory effect on the uterus<br />

contraction (Perez et al. 1994). S. lepidophylla is also<br />

reported contain volatile oils (Andrade-Cetto and Heinrich<br />

2005). The acetone extract of S. sinensis contains<br />

selaginellin A, an unusual flavonoid pigment (Zhang et al.<br />

2007). S. sinensis has a glucoside, namely selaginoside<br />

(Dai et al. 2006), a sesquilignan, namely sinensiol A (Wang<br />

et al. 2007), secolignans, namely styraxlignolide D and<br />

neolloydosin (Feng et al. 2009), and (+)-pinoresinol<br />

(Umezawa 2003a,b). S. uncinata also has chromone<br />

glycosides, namely uncinoside A and uncinoside B (Man<br />

and Takahashi 2002), which shows antiviral activities<br />

against RSV and PIV-3 (Ma et al. 2003). Ethanol extract<br />

of S. uncinata also contains flavonoids that possessing a<br />

benzoic acid substituent (Zheng et al. 2008a).<br />

S. doederleinii contains several phenolic compounds<br />

such as (+)-matairesinol, (-)-lirioresinol A, (-)-lirioresinol<br />

B, (-)-nortracheloside (Lin et al. 1994), and (-)-<br />

matairesinol, (+)-syringaresinol, (+)-wikstromol, (+)-<br />

nortrachelogenin (Umezawa 2003a,b). The (-)-matairesinol<br />

has inhibitory activity against cAMP and acts as an<br />

insecticide synergist, while (+)-syringaresinol has cytotoxic<br />

effect (Harborne et al. 1999). S. doederleinii also contains a<br />

glycosidic hordenine (Markham et al. 1992), which<br />

increases hypertension (Lin et al. 1991).<br />

S. caulescens, S. involvens, and S. uncinata contain<br />

about 0.2% silicon, higher than the most of other club<br />

mosses and true ferns (Ma and Takahashi 2002), which<br />

may improve plant tolerant to disease, drought, and metal<br />

toxicities (Epstein 1999; Richmond and Sussman 2003; Ma<br />

2004). S. labordei contains 4'-methylether robustaflavone,<br />

robustaflavone, eriodictyol and amentoflavone (Tan et al<br />

2009). S. apoda yields substantial amounts of 3-O-methyl-<br />

D-galactose (Popper et al. 2001). S. moellendorfii contains<br />

several pyrrolidinoindoline alkaloids (Wang et al. 2009).<br />

Other natural products, beside biflavonoid and trehalose,<br />

also have several molecular properties that can increase<br />

human health and have economical values; and need for<br />

further observation.<br />

Natural products of Selaginella can vary depend on<br />

climate, location, and soil factors; as well as harvesting and<br />

extraction procedure (Nahrstedt and Butterweck 1997); and<br />

also plant species or variety, parts to be extracted and age.<br />

The different species of Selaginella shows different HPLC<br />

fingerprint characteristic. The samples of the similar


46<br />

3 (1): 44-58, March 2011<br />

species, collected in different period, different environment<br />

or different locations shows certain difference in<br />

fingerprints. However, it also generate main fingerprint<br />

peaks, which can be used to evaluate and distinguish the<br />

different species or infra species (Fan et al. 2007).<br />

BIFLAVONOID<br />

Selaginella species have a large number of bioactive<br />

compounds, the most important being biflavonoids (Silva<br />

et al. 1995; Lin et al. 1999). Biflavonoids are naturally<br />

occurring compounds that are ubiquitous in all vascular<br />

plants and have many favorable biological and<br />

pharmacological effects (Lee et al. 1996; Baureithel et al.<br />

1997; Lobstein-Guth et al. 1998). One of flavonoid<br />

structure that has high medicinal valuable is biflavonoid; a<br />

dimeric form of flavonoid which formed by binding of two<br />

flavone units or mixture between flavone and flavanon or<br />

aurone (Geiger and Quinn 1976; DNP 1992; Ferreira et al.<br />

2006).<br />

Flavonoid (or flavanoid) is widespread plant natural<br />

products (5-10%); its chemical structure and biological role<br />

are very diverse (Macheix et al. 1990). This compound is<br />

formed by shikimate and phenylpropanoid pathways<br />

(Harborne 1989), with a few alternative biosynthesis<br />

(Robards and Antolovich 1997). Flavonoid is derived from<br />

phenols having basic structure of phenylbenzopiron<br />

(tocopherol) (Middleton et al. 2000); distinguished by 15<br />

carbon skeletons (C6-C3-C6) consisted of one oxygenated<br />

ring and two aromatic rings (Figure 1). Substitution of<br />

chemical group at flavonoid is generally hydroxylation,<br />

methoxylation, methylation and glycosilation (Harborne<br />

1980). Flavonoid is classified diversely; among them are<br />

flavone, flavonone, isoflavone, flavanol, flavanon,<br />

anthocyanin, and chalchone (Porter 1994; Ferreira and<br />

Bekker 1996; Ferreira et al. 1999a,b). More than 6467<br />

flavonoid compounds have been identified and amount of<br />

new discovery is consistently increasing (Harborne and<br />

Baxter 1999). This compound is playing important role in<br />

determining color, favor, aroma, and quality of nutritional<br />

food (Macheix et al. 1990). Flavonoid is mostly monomeric<br />

form, but there is also dimer (biflavonoid), trimer, tetramer,<br />

and polymer (Perruchon 2004).<br />

Biflavonoid (or biflavonil, flavandiol) is a dimeric form<br />

of flavonoid which formed by bonding of two flavone units<br />

or mixture between flavone and flavanon or aurone (Geiger<br />

and Quinn 1976; DNP 1992; Ferreira et al. 2006). Basic<br />

structure of biflavonoid is 2,3-dihydroapigeninil-(I-3’,II-<br />

3’)-apigenin (Figure 1.). This compound has interflavanil<br />

C-C bond between carbon C-3’ at each flavone group.<br />

There is also some biflavonoid with interflavanil C-O-C<br />

bonding (Bennie et al. 2000, 2001, 2002; Ferreira et al.<br />

2006). Locksley (1973) suggest generic term ‘biflavanoid’<br />

to replace ‘biflavonil’ which is early used. Term<br />

‘biflavanoid’ is assumed more accurate than ‘biflavonoid’<br />

because indicating saturated in nature. Suffix ‘oid’<br />

indicates homogeneous dimeric type, including biflavanon,<br />

biflavon, biflavan, etc. However, term ‘biflavonoid’ is<br />

more regularly used because articulated easier.<br />

Phenol<br />

C<br />

Flavonoid<br />

B<br />

Biflavonoid<br />

Figure 1. Basic structure of phenol, flavanoid and biflavanoid.<br />

Bicyclic ring system is named A and C rings, while unicyclic ring<br />

is named B ring. The two unit of monomeric biflavonoid is<br />

marked by Roman number I and II. Position number at each<br />

monomer is started from containing oxygen atom ring, position of<br />

C-9 and C-10 indicate unification of them (Rahman et al. 2007; ).<br />

Biflavonoid is found at fruit, vegetable, and other part<br />

of plant. This compound is originally found by Furukawa<br />

in 1929 (Lin et al. 1997) from leaf extract of G. biloba in<br />

form of yellow colored compound, later named ginkgetin<br />

(I-4’, I-7-dimetoxy, II-4’, I-5, II-5, II-7-tetrahydroxy I-3’,<br />

II-8 biflavone) (Baker and Simmonds 1940). Nowdays,<br />

amount of biflavonoid which isolated and characterized<br />

from nature continually increase (Oliveira et al. 2002;<br />

Ariyasena et al. 2004; Chen et al. 2005a), but learning to<br />

bioactivity is still limited. The most observed biflavonoid is<br />

ginkgetin, isoginkgetin, amentoflavone, morelloflavone,<br />

robustaflavone, hinokiflavone, and ochnaflavone. Those<br />

compounds have similar basic structure, i.e. 5,7,4’-<br />

trihydroxy flavonoid, but differing at nature and position of<br />

flavonoid bond (Rahman et al. 2007).<br />

Biflavonoid has several namenclaturing systems, such<br />

as Loksley, IUPAC, and vernacular name. The first of two<br />

systems is the most systematic, but the most used is<br />

vernacular name. Locksley (1973) standardize<br />

nomenclature and position number of biflavonil ring<br />

skeleton. Every monomer unit is marked by Roman<br />

numerals I and II that indicate bonding between monomer,<br />

followed by Arabic numerals indicate that bonding<br />

position. The two numeral from two monomer unit<br />

compiled dimeric, than paired with hyphen to show<br />

bonding position of two monomer. Number of substitution<br />

group at monomer unit follow IUPAC system for flavone.<br />

In Locksley system, amentoflavone named I-4’, II-4’, I-5,<br />

II-5, I-7, II-7-hexahydroxy I-3’, II-8 biflavone, while<br />

hinokiflavone which its flavone unit bonded with an<br />

oxygen is named by II-4’, I-5, II-5, I-7, II-7-pentahydroxy<br />

I-4’-O-II-6 biflavone. This system is intuitive, logical, and<br />

depicts the chemical structure. In IUPAC, amentoflavone is<br />

named by 8-5-(5,7-dihydroxy-4-oxo-4H-chromen-2-il)-2-<br />

hydroxyphenyl-5,7-dihydroxy- 2-(4-hydroxy-phenyl)-<br />

chromen-4-on, while hinokiflavone is 6-4-(5,7-dihydroxy-<br />

4-oxo-4H-chromen-2-il)-phenoxy- 5,7-dihydroxy-2-(4-


SETYAWAN – Natural products of Selaginella 47<br />

hydroxyphenyl)- chromen-4-on. Basic difference between<br />

two systems is reference of structural skeleton. Locksley<br />

use flavanoid structure, while IUPAC use chromen<br />

structure that more complex (Rahman et al. 2007). The<br />

above two nomenclature is rarely used because its<br />

complication. Vernacular name that given by each inventor<br />

is often used because simpler and easier, though it is not<br />

systematic and does not depict chemical structure, such as<br />

amentoflavone, hinokiflavone, ginkgetin, etc.<br />

In vivo biosynthesis of flavonoid in nature is relatively<br />

mysterious, but there are some approaches by in vitro to<br />

explain biosynthesis. According to Rahman et al. (2007)<br />

there are nine pathways of biflavonoid synthesis, namely:<br />

(i) Ullmann coupling halogenated flavones; (ii) synthesis of<br />

biflavones via 1,1’-biphenyls; (iii) metal catalyzed cross<br />

coupling of flavones; (iv) Wessely-Moser rearrangements;<br />

(v) phenol oxidative coupling of flavones; (vi) Ullmann<br />

condensation with flavone salts; (vii) nucleophilic<br />

substitution; (viii) dehydrogenation of biflavanones into<br />

biflavones; and (ix) dehydrogenation of biflavone into<br />

biflavanone.<br />

In East Asia, biflavonoid is usually produced from leaf<br />

of Ginkgo biloba which main constituent is ginkgetin<br />

(Krauze-Baranowska and Wiart 2002; Dubber 2005). In<br />

sub Sahara-Africa, it is especially produced from seed of<br />

Garcinia cola which main constituent is kolaviron (Iwu<br />

and Igboko 1982; Iwu 1985, 1999; Iwu et al. 1987, 1990;<br />

Braide 1989, 1993; Han et al. 2006; Farombi et al. 2005;<br />

Adaramoye and Medeiros 2009). The biflavanones are the<br />

most dominant in the most Garcinia species (Waterman<br />

and Hussain 1983), pericarp of Javanese mangosteen (G.<br />

mangoestana) contains amentoflavone and other flavonoids<br />

(ADS 2008, data not be shown). In Europe, biflavonoid is<br />

commonly produced from herbs of Hypericum perforatum<br />

which main constituent is amentoflavone (Berghofer and<br />

Holzl 1987, 1989; Nahrstedt and Butterweck 1997; Borlis<br />

et al. 1998; Tolonen 2003; Kraus 2005). Selaginella has<br />

potent as source of biflavonoid, which can yield various<br />

biflavonoid compounds depending on species. It has<br />

cosmopolitanly distributed and able to cultivate almost all<br />

the words depending on species.<br />

DIVERSITY OF BIFLAVONOID<br />

Selaginella is one of the potential medicinal plants as a<br />

source biflavonoid in Nusantara, where 200 of the 700-750<br />

species from the entire world are found (Setyawan 2008).<br />

A total of 13 biflavonoid compounds have been isolated<br />

from Selaginella, including amentoflavone (3',8”-<br />

biapigenin), 2',8''-biapigenin, delicaflavone, ginkgetin,<br />

heveaflavone, hinokiflavone, isocryptomerin, kayaflavone,<br />

ochnaflavone, podocarpusflavone A, robustaflavone,<br />

sumaflavone, and taiwaniaflavone (Figure 2). In Setyawan<br />

and Darusman (2008) mentioned that the number is only 12<br />

biflavonoid compounds. Some biflavonoid are easily found<br />

at various species of Selaginella, but the other is only<br />

found at certain species. Amentoflavone and ginkgetin is<br />

biflavonoid compound of the most Selaginella, while<br />

sumaflavone is only reported from S. tamariscina (Yang et<br />

al. 2006; Lee et al. 2008) and delicaflavone is only reported<br />

from S. delcatula (Andersen and Markham 2006). At least<br />

11 species of Selaginella have been tested by<br />

amentoflavone content (Sun et al. 2006). There are also<br />

biflavonoid which is rarely found at Selaginella but it is<br />

commonly found at other species. Preliminary study shows<br />

that amentoflavone is found in high content (> 20%) at two<br />

of about 35 species of Malesian Selaginella, namely S.<br />

subalpina and S. involvens (ADS 2008, data not be shown).<br />

In Selaginella, taiwaniaflavone is only reported from S.<br />

tamariscina (Pokharel et al. 2006), while this is also found<br />

at other plant such as Taiwania cryptomerioides (Kamil et<br />

al. 1981).<br />

Selaginella is generally extracted from whole plant,<br />

though it is only conceived as herbs or leaves. Extraction<br />

can be conducted by various solvent, i.e. polar, semi-polar<br />

and non polar. For example: boiling in water, extraction by<br />

using methanol, ethanol, buthanol, ethyl acetate,<br />

chloroform, or extraction by using solvent mixture such as<br />

alcohol-water, ethanol-ethyl acetate, and ethanolchloroform.<br />

Methanol and ethanol are the most solvent<br />

used for biflavonoid extraction. Solvent types and<br />

extraction procedure can influence obtaining chemical<br />

structure and bioactivity of extract. Disease which is most<br />

treated by Selaginella extract is cancer. Besides,<br />

Selaginella extract also has many other usefulness, namely<br />

antioxidant, anti-inflammatory, antimicrobial (virus,<br />

bacterium, fungi, and protozoa), anti UV irradiation, anti<br />

allergy, vasorelaxation, anti diabetes, blood pressure<br />

stability, anti hemorrhagic, and antinociceptive.<br />

Biflavonoid needs evaluation for its medical and nutritional<br />

value (Harborne and Williams 2000). Selaginella contains<br />

various biflavonoid with difference medical properties<br />

(Table 2).<br />

Amentoflavone. Amentoflavone, the most common<br />

biflavonoid of Selaginella, has various biological and<br />

pharmacological effects, including antioxidant (Mora et al.<br />

1990; Cholbi et al. 1991; Shi et al. 2008), anti cancer (Silva<br />

et al. 1995; Lee et al. 1996; Lin et al. 2000;<br />

Guruvayoorappan and Kuttan 2007), anti-inflammatory<br />

(Gambhir et al. 1978; Baureithel et al. 1997; Gil et al.<br />

1997; Kim et al. 1998; Lin et al.. 2000; Woo et al.. 2005),<br />

antimicrobial (Woo et al. 2005; Jung et al. 2007), antivirus<br />

such as influenza (A, B), hepatitis (B), human<br />

immunodeficiency virus (HIV-1), herpes (HSV-1, HSV-2),<br />

herpes zoster (VZV), measles (Lin et al. 1998, 1999a,b,<br />

2002; Flavin et al. 2001, 2002), and respiratory syncytial<br />

virus (RSV) (Lin et al. 1999a,b; Ma et al. 2001),<br />

vasorelaxation (Kang et al. 2004), anti-urcerogenic<br />

(Gambhir et al. 1987), anti stomachic-ache (Kim et al.<br />

1998), anti depressant (Baureithel et al. 1997), anxiolytic<br />

(Cassels et al. 1998, 1999), analgesic (Silva et al. 2001),<br />

and anti-angiogenesis agent (Lee et al. 2009c).<br />

2',8''-biapigenin. 2',8''-biapigenin is an anticancer,<br />

which inhibit transactivation of iNOS gene and<br />

cyclooxigenase-2 (COX-2) through inactivate nuclear<br />

factor-κB (NF-κB) and prevent translocation of p65 (Chen<br />

et al. 2005b; Woo et al. 2006); and anti-inflammatory<br />

(Grijalva et al. 2004; Woo et al. 2005 2006; Pokharel et al.<br />

2006).


48<br />

3 (1): 44-58, March 2011<br />

OH<br />

OH<br />

HO<br />

O<br />

2’<br />

HO<br />

8”<br />

O<br />

OH<br />

HO<br />

OH<br />

O<br />

HO<br />

OH<br />

O<br />

2’,8”-biapigenin<br />

Delicaflavone<br />

Amentoflavone<br />

(3',8”-biapigenin)<br />

OH<br />

OCH 3<br />

CH 3 O<br />

HO<br />

OCH 3<br />

OH<br />

CH 3O<br />

CH 3O<br />

Hinokiflavon<br />

OH<br />

OH<br />

O<br />

Hinokiflavone<br />

Ginkgetin<br />

Heveaflavone<br />

OCH 3<br />

OCH 3<br />

CH 3O<br />

HO<br />

CH 3O<br />

Ochnaflavone<br />

Isocryptomerin<br />

Kayaflavone<br />

OCH 3<br />

HO<br />

HO<br />

Podocarpusflavone A<br />

Sumaflavone<br />

OH<br />

OH<br />

HO<br />

OH<br />

OH<br />

HO<br />

Robustaflavone<br />

Taiwaniaflavone<br />

Figure 2. Structure of biflavonoid from Selaginella, namely: amentoflavone, 2',8''-biapigenin, delicaflavone, ginkgetin, heveaflavone,<br />

hinokiflavone, Isocryptomerin, kayaflavone, ochnaflavone, podocarpusflavone A, robustaflavone, sumaflavone, and taiwaniaflavone.


SETYAWAN – Natural products of Selaginella 49<br />

Delicaflavone. Its bioactivity is not observed yet from<br />

Selaginella.<br />

Ginkgetin. This compound is the second most studied<br />

biflavonoid of Selaginella beside amentoflavone. It has<br />

several properties including antioxidant (Su et al. 2000;<br />

Sah et al. 2005; Shi et al. 2008), anti-inflammatory<br />

(Grijalva et al. 2004; Woo et al. 2005, 2006; Pokharel et al.<br />

2006), anti viral such as herpes and cytomegalovirus<br />

(Hayashi et al. 1992); anti protozoan such as Trypanosoma<br />

cruzi (Weniger et al. 2006); anti cancer (Sun et al. 1997;<br />

Kim and Park 2002; Yang et al. 2007), such as such as<br />

ovarian adenocarcinoma (OVCAR-3), cervical carcinoma<br />

(HeLa) and foreskin fibroblast (FS-5) (Su et al. 2000).<br />

Ginkgetin is the strongest biflavonoid that inhibit cancer<br />

(Kim and Park 2002). Besides, this matter increase activity<br />

of neuroprotective against cytotoxic stress, and has potent<br />

for curing neurodegenerative disease such as stroke and<br />

Alzheimer (Kang et al. 2004; Han et al. 2006). Ginkgetin<br />

can also replace caffeine in food-stuff and medicines<br />

without generating addiction (Zhou 2002).<br />

Heveaflavone. Heveaflavone has cytotoxic activity<br />

against cancer cell of murine L 929 (Lin et al. 1994).<br />

Hinokiflavone. Hinokiflavone has antioxidant, antiviral<br />

and anti protozoan effect. This matter assists cell growth<br />

and protect from free radical cased by hydrogen peroxide<br />

(H 2 O 2 ) (Sah et al. 2005). It also inhibit sialidase influenza<br />

virus (Yamada et al. 2007; Miki et al. 2008); has high<br />

resistance to HIV-1 by in vivo and to polymerase HIV-1<br />

RTASE by in vitro (Lin et al. 1997). Lin et al. (1998,<br />

1999a,b, 2002) and Flavin et al. (2001, 2002) is patenting<br />

antiviral effect of hinokiflavone and others to influenza<br />

virus (A, B), hepatitis (B), human immunodeficiency virus<br />

(HIV-1), herpes (HSV-1, HSV-2), herpes zoster (VZV),<br />

and measles. It has antiprotozoan activity by in<br />

vitro against Plasmodium falciparum, Leishmania<br />

donovani and Trypanosoma sp. (Kunert et al. 2008).<br />

Isocryptomerin. Isocryptomerin has anti cancer<br />

property as well as anti-inflammatory, immunosuppressant<br />

and analgesic (Kang et al. 1998, 2001). It has cytotoxic<br />

activity against various cancer cells (Silva et al. 1995),<br />

including P-388 and HT-29 (Chen et al. 2005b). It has<br />

antibacterial activity against Gram-positive and Gramnegative<br />

bacteria (Lee et al. 2009b); and also has antifungal<br />

properties, which can depolarize fungal plasma membrane<br />

of Candida albicans (Lee et al. 2009a).<br />

Kayaflavone. Kayaflavone has moderately anti cancer<br />

property (Sun et al. 1997; Yang et al. 2007) and<br />

antioxidant, such as depleting H 2 O 2 (Su et al. 2000).<br />

Ochnaflavone. Ochnaflavone derivatives may have<br />

antioxidant activity that inhibits expression of gene COX-2<br />

at colon cancer cell (Chen et al. 2005b).<br />

Podocarpusflavone A. It has moderately anti cancer<br />

(Sun et al. 1997; Yang et al. 2007) and antioxidant<br />

properties (Su et al. 2000; Shi et al. 2008).<br />

Robustaflavone. Robustaflavone has anti cancer and<br />

anti virus properties. This matter significantly cytotoxic to<br />

various cancer cells (Silva et al. 1995) and significantly<br />

inhibits tumor cell of Raji and Calu-1 (Lin et al. 2000),<br />

cancer cell of P-388 and HT-29 (Chen et al. 2005b). It has<br />

also antiviral properties, which indicates high resistance to<br />

polymerase HIV-1 RTASE by in vitro (Lin et al. 1997) and<br />

also influenza virus (A, B), hepatitis (B), human<br />

immunodeficiency virus (HIV-1), herpes (HSV-1, HSV-2),<br />

herpes zoster (VZV), and measles (Lin et al. 1998, 1999a,b<br />

2002; Flavin et al. 2001, 2002).<br />

Sumaflavone. Sumaflavone has anti-inflammatory<br />

property that able to inhibit production of NO, by mean<br />

blocking lipopolysaccharide formation that induces iNOS<br />

gene expression (Yang et al. 2006). It can also significantly<br />

inhibit ability of UV irradiation to induce matrix<br />

metalloprotease-1 and -2 (MMP-1 and -2) activities at<br />

fibroblast of primary human skin (Lee et al. 2008).<br />

Taiwaniaflavone. It has anti-inflammatory, such as<br />

induce iNOS and COX-2 at macrophage of RAW 264.7<br />

(Pokharel, et al. 2006).<br />

MOLECULAR BIOACTIVITIES<br />

Selaginella is traditionally treated to cure several<br />

disease depending on species, such as cancer or tumor<br />

(uterus, nasopharyngeal, lung, etc), wound, after childbirth,<br />

menstrual disorder, female reproduction disease, expulsion<br />

of the placenta, tonic (for after childbirth, increase body<br />

endurance, anti ageing, etc), pneumonia, respiratory<br />

infection, exhalation channel infection, inflamed lung,<br />

cough, tonsil inflammation, asthma, urethra infection,<br />

bladder infection, kidney stone, cirrhosis, hepatitis, cystisis,<br />

bone fracture, rheumatism, headache, fever, skin diseases,<br />

eczema, depurative, vertigo, toothache, backache, blood<br />

purify, blood coagulation, amenorrhea, hemorrhage<br />

(resulting menstrual/obstetrical hemorrhage, stomachic,<br />

pile or prolepses of the rectum), diarrhea, stomach-ache,<br />

sedative, gastric ulcers, gastro-intestinal disorder, rectocele,<br />

itches, ringworm, bacterial disease, bellyache, neutralize<br />

poison caused by snakebite or sprained, bruise, paralysis,<br />

fatigue, dyspepsia, spleen disease (diabetic mellitus),<br />

emmenagogue, diuretic, and to refuse black magic<br />

(Martinez 1961; Bouquet et al. 1971; Dixit and Bhatt 1974;<br />

Ahmad and Raji 1992; Bourdy and Lee et al. 1992; Bourdy<br />

and Walter 1992; Nasution 1993; Lin et al. 1994; Kambuou<br />

1996; Caniago and Siebert 1998; Sequiera 1998;<br />

Dalimartha 1999; Mathew et al. 1999; Abu-Shamah et al.<br />

2000; van Andel 2000; Uluk et al. 2001; Harada et al.<br />

2002; Man and Takahashi 2002; Warintek 2002; Winter<br />

and Jansen 2003; ARCBC 2004; Batugal et al. 2004; de<br />

Almeida-Agra and Dantas 2004; DeFilipps et al. 2004;<br />

Wijayakusuma 2004; Mamedov 2005; Khare 2007; Pam.<br />

2008; Setyawan and Darusman 2008) (Table 1). This plant<br />

has sweet taste, and gives warm effect on the body (Bensky<br />

et al. 2004).<br />

Plants ecologically use biflavonoid to response<br />

environmental condition such as defense against pests,<br />

diseases, herbivory, and competitions; while human<br />

medically use as antioxidant, anti-inflammatory, anti<br />

cancer, anti allergy, antimicrobial, antifungal, antibacterial,<br />

antivirus, antiprotozoan, protection to UV irradiation,<br />

vasorelaxation (vasorelaxant), heart strengthener, anti<br />

hypertension, anti blood coagulation, and influence enzyme


50<br />

3 (1): 44-58, March 2011<br />

metabolism (Havsteen 1983, 2002; Kandaswami and<br />

Middleton 1993, 1994; Lale et al. 1996; Bisnack et al.<br />

2001; Duarte et al. 2001; Kromhout 2001; Kang et al.<br />

2004; Moltke et al. 2004; Arts and Hollman 2005; Martens<br />

and Mithofer 2005; Yamaguchi et al. 2005). The<br />

antioxidant, anti cancer and anti-inflammatory are the most<br />

important bioactivities of this secondary metabolite.<br />

Selaginella is known possess various molecular<br />

bioactivities depending on species, but only a few species<br />

has been detailed observe in the advanced research. Several<br />

species that also distributed in Nusantara are observed,<br />

such as S. tamariscina, S. doederleinii, S. involvens, S.<br />

moellendorffii, S. uncinata, and S. willdenowii; while the<br />

most distributed Selaginella in Nusantara namely S. plana<br />

has not been investigated yet (Table 2).<br />

S. tamariscina is the most powerful and the most useful<br />

plant Selaginella in the world. This herb is widely used as<br />

anti cancer, antioxidant and anti-inflammatory; and also<br />

used as anti UV irradiation, anti allergy, vasorelaxation,<br />

anti diabetic, immunosuppressant, analgesic, neuro<br />

protectant, antibacteria, antifungal, and possess estrogenic<br />

activity. As anti cancer, S. tamariscina can decrease<br />

expression of MMP-2 and -9, urokinase plasminogen<br />

activator, and inhibits growth of metastasis A549 cell and<br />

Lewis lung carcinoma (LLC) (Yang et al. 2007); inhibits<br />

proliferation of mesangial cell which activated by IL-1β<br />

and IL-6 (Kuo et al. 1998); inhibits leukemia cancer cell of<br />

HL-60 cell (Lee et al. 1999); induces expression of tumor<br />

suppressor gene of p53 (Lee et al. 1996); degrades<br />

leukemia cancer cell of U937 (Lee et al. 1996; Yang et al.<br />

2007); reduces proliferation nucleus antigen cell from<br />

stomach epithelium (Lee et al. 1999); chemopreventive for<br />

gastric cancer (Lee et al. 1999); induces apoptosis of cancer<br />

cell trough DNA fragmentation and nucleus clotting (Ahn<br />

et al. 2006); and induces breast cancer apoptosis through<br />

blockade of fatty acid synthesis (Lee et al. 2009c). This<br />

property is mostly given by amentoflavone and<br />

isocryptomerin (Kang et al. 1998, 2001; Lee et al. 2009c),<br />

while ginkgetin is also acted as anti cancer to OVCAR-3<br />

(Sun et al. 1997). As antioxidant, amentoflavone from S.<br />

tamariscina inhibits production of NO, which inactivates<br />

NF-κB, while sumaflavone blocks lipopolysaccharide<br />

formation that induces iNOS gene expression (Yang et al.<br />

2006). As anti-inflammatory, amentoflavone,<br />

taiwaniaflavone and ginkgetin from S. tamariscina inhibit<br />

inflammation that induce iNOS and COX-2 at macrophage<br />

RAW 264.7 which stimulated by lipopolysaccharide<br />

(Grijalva et al. 2004; Woo et al. 2005; Pokharel et al.<br />

2006). Amentoflavone inhibits activity of phospholipase<br />

Cγ1 (Lee et al. 1996); phospholipase A-2 (PLA-2) and<br />

COX-2 (Kim et al. 1998), while 2',8''-biapigenin inhibits<br />

transactivation of iNOS gene and COX-2 through<br />

inactivate NF-κB and prevent translocation of p65 (Woo et<br />

al. 2006).<br />

Amentoflavone from S. tamariscina inhibits fungi (Junk<br />

et al. 2006), anti influenza and resist to HSV-1 and -2<br />

(Rayne and Mazza 2007); hinokiflavone inhibits sialidase<br />

influenza virus (Yamada et al. 2007; Miki et al. 2008) and<br />

resists to HIV-1 (Lin et al. 1997); robustaflavone and<br />

hinokiflavone resist to polymerase HIV-1 RTASE (Lin et<br />

al. 1997); ginkgetin inhibits herpes and cytomegalovirus<br />

(Hayashi et al. 1992), by degrading protein synthesis of<br />

virus and depress gene transcription (Middleton et al.<br />

2000). Isocryptomerin from S. tamariscina shows potent<br />

antibacterial activity against Gram-positive and Gramnegative<br />

(Lee et al. 2009b). Amentoflavone from S.<br />

tamariscina inhibits several pathogenic fungi (Woo et al.<br />

2005; Jung et al. 2007). Isocryptomerin from S.<br />

tamariscina can depolarize fungal plasma membrane of C.<br />

albicans (Lee et al. 2009a).<br />

S. tamariscina is effective ingredient to prevent and<br />

cure acute brain degenerative disease, such as stroke and<br />

dementia (Han et al. 2006). Capability to prevent brain<br />

damage is especially given by amentoflavone (Kang et al.<br />

1998). S. tamariscina can elastic vascular smooth muscle<br />

through endothelium related to nitric oxide (NO) activity<br />

(Yin et al. 2005). Amentoflavone from S. tamariscina<br />

induces relaxation of phenylephrin which responsible to<br />

aorta contraction (Kang et al. 2004; Yin et al. 2005). S.<br />

tamariscina containing sumaflavone and amentoflavone<br />

inhibit ability of UV irradiation to induce MMP-1 and -2 at<br />

fibroblast (Lee et al. 2008). S. tamariscina reduces<br />

histamine from peritoneal mast cell causing allergic<br />

reaction (Dai et al. 2005). S. tamariscina decreases sugar<br />

blood and lipid peroxide, and also increases insulin<br />

concentration (Miao et al. 1996). Amentoflavone from S.<br />

tamariscina inhibits activity of tyrosine phosphatase 1B to<br />

maintain type-2 diabetic and obesity (Na et al. 2007).<br />

S. articulate is treated as anti hemorrhagic. Water<br />

extract of this matter can moderately neutralize<br />

hemorrhagic effect and inhibits proteolysis of casein by<br />

venom (Otero et al. 2000; Winter and Jansen 2003).<br />

S. bryopteris acts as antioxidant, anti-inflammatory,<br />

antiprotozoan, anti UV-irradiation and anti spasmodic.<br />

Water extract of S. bryopteris increases endurance to<br />

oxidative stress; and assists cell growth and protects from<br />

free radical stress caused by H 2 O 2 (Sah et al. 2005). S.<br />

bryopteris is treated as anti-inflammatory and cures veneral<br />

disease (Agarwal and Singh 1999). Amentoflavone and<br />

hinokiflavone from S. bryopteris have antiprotozoan<br />

activity against P. falciparum, L. donovani and<br />

Trypanosoma sp (Kunert et al. 2008). Water extract of S.<br />

bryopteris also significantly reduces potent cell dying<br />

caused by UV irradiation (Sah et al. 2005), while ethanolic<br />

extract can cure stomachic (Pandey et al. 1993).<br />

S. delicatula acts as anti cancer and antioxidant. Water<br />

extract of S. delicatula has antioxidant characteristic and<br />

degrades blood cholesterol (Gayathri et al. 2005). Extract<br />

of S. delicatula that contained by robustaflavone and<br />

amentoflavone or its derivatives is cytotoxic against cancer<br />

cell of P-388, HT-29 (Chen et al. 2005b), Raji, Calu-1,<br />

lymphoma and leukemia (Lin et al. 2000)<br />

S. doederleinii is usually treated as anti cancer, but also<br />

acts as antiviral and anti-inflammatory. Water extract of S.<br />

doederleinii has antimutagenic against both picrolonic<br />

acid- and benzo[α]pyrene-induced mutation to cancer cell<br />

(Lee and Lin 1988). Ethanolic extract of S. doederleinii<br />

that is amentoflavone and heveaflavone has cytotoxic<br />

activity against cancer cell of murine L 929 (Lin et al.<br />

1994). Extract of S. doederleinii also has cytotoxic against


SETYAWAN – Natural products of Selaginella 51<br />

the three human cancer cell lines, HCT, NCI-H358, and<br />

K562 (Lee et al. 2008), and has anti mutagenic effect<br />

against cholangiocarcinoma cancer, but my cause bone<br />

marrow depression (Pan et al. 2001). Amentoflavone from<br />

S. doederleinii has potent as antiviral and antiinflammatory<br />

agents (Lin et al. 2000). However, hordenine<br />

that isolated from S. doederleinii increases hypertension<br />

(Lin et al. 1991).<br />

S. involvens has characteristics as antioxidant, antiinflammatory<br />

and anti bacteria. Extract of S. involvens can<br />

inhibit production and effect of free radicals of NO and<br />

expression of iNOS/IL-1β (Joo et al. 2007). Water extract<br />

of S. involvens has significantly antioxidant effect to lipid<br />

peroxides (EC50 = 2 ug/mL). This extract is non toxic and<br />

degrades blood cholesterol (Gayathri et al. 2005). Water<br />

extract of S. involvens kills the various Leptospira strains,<br />

which causes infectious of leptospirosis diseases (Wang et<br />

al. 1963). Extract of S. involvens depresses activity of<br />

Propionibacterium acnes (> 100 ug/mL), which responses<br />

to acne inflammation; although has no antibiotic property<br />

(Joo et al. 2007). Beside, water extract of S. involvens may<br />

have analgesic activity (ECMM 1997; Ko et al. 2007).<br />

S. labordei indicates antioxidant, anti cancer, and anti<br />

virus characteristics. S. labordei can inhibit activity of<br />

xanthine oxidase (XOD) and lipoxygenase (LOX), and<br />

absorb free radical (Chen et al. 2005b; Tan et al. 2009). It<br />

also down-regulate COX-2 gene expression in human<br />

colon adenocarcinoma CaCo-2 cells (Chen et al. 2005b).<br />

Robustaflavone of S. labordei can inhibit hepatitis B virus<br />

(Tan et al. 2009)<br />

S. lepidophylla has hypoglycemic property (Andrade-<br />

Cetto and Heinrich 2005); while non-biflavonoid<br />

compound from methanolic extract of S. lepidophylla, 3-<br />

methylenhydroxy-5-methoxy-2,4-dihydroxy<br />

tetrahydrofuran, has moderate resistance to uterus<br />

contraction (Perez et al. 1994).<br />

S. moellendorffii contains antioxidant and anti cancer<br />

properties. Ethyl acetate extract of S. moellendorffii<br />

contains amentoflavone, hinokiflavone, podocarpusflavone<br />

A, and ginkgetin that has antioxidant properties (Shi et al.<br />

2008). Ginkgetin that extracted by ethanol or ethyl acetate<br />

from S. moellendorffii can inhibit cancer cell growth of<br />

OVCAR-3, HeLa, and FS-5 (Sun et al. 1997; Su et al.<br />

2000). It also act as anti-metastasis at lung cancer cell of<br />

A549 and LLC (Yang et al. 2007); and apoptosis resulting<br />

caspase activation by H 2 O 2 (Su et al. 2000); while<br />

amentoflavone and its derivatives, kayaflavone, and<br />

podocarpusflavone A, have no this bioactivity (Sun et al.<br />

1997).<br />

S. pallescens has moderately antimicrobials and anti<br />

spasmodic activities. S. pallescens contains an endophytic<br />

Fusarium sp. that produce pentaketide anti fungal agent,<br />

CR377 (Brady and Clardy 2000). Chloroform-methanolic<br />

extract of S. pallescens can inhibit spontaneously<br />

contraction of ileum muscle (Rojas et al. 1999).<br />

S. rupestris contains amentoflavone which has<br />

antispasmodic effect to ileum; and strengthening heart in<br />

case of normodinamic and hypodinamic (Chakravarthy et<br />

al. 1981)<br />

S. sinensis contains amentoflavone which has antiviral<br />

actifity against RSV (Ma et al. 2001)<br />

S. uncinata has activity as anti virus but generated by<br />

non biflavonoid compounds. S. uncinata has chromone<br />

glycosides, namely uncinoside A and B (Man and<br />

Takahashi 2002), which showed antiviral activities against<br />

RSV and PIV-3 (Ma et al. 2003).<br />

S. willdenowii contains isocryptomerin and derivatives<br />

of amentoflavone and robustaflavone which significantly<br />

cytotoxic against various cancer cell (Silva et al. 1995).<br />

TREHALOSE<br />

Trehalose is formed by α,α-1,1-glycosidic linkage of<br />

two low energy hexose moieties (Paiva and Panek 1996;<br />

Elbein et al 2003; Grennan 2007). This matter is a unique<br />

simple sugar which non reactive, very stable, colorless,<br />

odor-free, non-reducing disaccharide, and capable to<br />

protect biomolecules against environmental stress<br />

(Schiraldi et al. 2002). Therefore, this compound is a<br />

natural product, although not as commonly secondary<br />

metabolites of natural products. It works as osmoprotectant<br />

during desiccation stress (Adams et al. 1990); such as<br />

compatible solute in the stabilization of biological<br />

structures under abiotic stress (Garg et al. 2002); serves as<br />

a source of energy and carbon (Elbein et al 2003;<br />

Schluepmann et al. 2003); serves as signaling molecule to<br />

control certain metabolic pathways (Muller et al. 2001;<br />

Elbein et al 2003; Avonce et al 2005); protects proteins and<br />

cellular membranes from inactivation or denaturation<br />

caused by harsh environmental stress, such as desiccation,<br />

dehydration (drought), thermal heat, cold freezing,<br />

oxidation, nutrient starvation, and salt (Avigad 1982;<br />

Elbein et al. 2003; Wu et al. 2006). Trehalose acts as a<br />

global protectant against abiotic stress (Jang et al. 2003).<br />

This matter is proved to be an active stabilizer of enzymes,<br />

proteins, biomasses, pharmaceutical preparations and even<br />

organs for transplantation (Schiraldi et al. 2002), and very<br />

prospects as molecular bio stabilizer in cosmetic, pharmacy<br />

and food (Roser 1991; Kidd and Devorak 1994). These<br />

multiple effects of trehalose on protein stability and folding<br />

suggest promising applications (Singer and Lindquist<br />

1998).<br />

Trehalose has long been known for protecting certain<br />

organisms from desiccation. The accumulation of the<br />

disaccharide trehalose in anhydrobiotic organisms allows<br />

them to survive severe environmental stress (Zentella et al.<br />

1999). Trehalose also promotes survival under extreme<br />

heat conditions, by enabling proteins to retain their native<br />

conformation at elevated temperatures and suppressing the<br />

aggregation of denatured proteins (Singer and Lindquist<br />

1998). Desiccation can reduce the lipid component in<br />

thylakoid membranes (Guschina et al. 2002). However, in<br />

desiccation-tolerant plants, membrane integrity appears not<br />

to be affected during drought-stress. S. lepidophylla retain<br />

their structural organization as intact bilayers (Platt et al.<br />

1994) and often referred as resurrection plant because able<br />

to live on long drought and recovery through rehydration


52<br />

3 (1): 44-58, March 2011<br />

process (Crowe et al. 1992), even when the most water<br />

body (99%) is evaporated (Schiraldi et al. 2002; van Dijck<br />

et al. 2002). Another species, S. tamariscina, can also<br />

remain alive in a desiccated state and resurrect when water<br />

becomes available (Liu et al. 2008). The drought can<br />

change fluorescence and pigmentation, but can not cause<br />

dying (Casper et al. 1993).<br />

Trehalose exists in a wide variety of organisms,<br />

including bacteria, yeast, fungi, insects, invertebrates, and<br />

lower and higher plants (Elbein 1974; Crowe et al. 1984;<br />

Elbein et al. 2003), but rarely find in Angiosperms (Muller<br />

et al. 1995) and does not find in mammals (Teramoto et al<br />

2008), and it is not accumulated to detectable levels in the<br />

most plants (Garg et al. 2002). This sugar plays important<br />

roles in cryptobiosis of Selaginella and other organisms,<br />

which revive with water from a state of suspended<br />

animation induced by desiccation (Teramoto et al 2008).<br />

Trehalose is the major sugar formed in photosynthesis of<br />

Selaginella (White and Towers 1967). Some Selaginella<br />

contains high concentration of trehalose, such as S.<br />

lepidophylla (Adams et al. 1990; Mueller et al. 1995;<br />

Zentella et al. 1995), S. sartorii (Iturriaga et al. 2000), S.<br />

martensii (Roberts and Tovey 1969), S. densa, and S.<br />

wallacei (White and Towers 1967). Trehalose can reach<br />

10-15% of cell dry weight (Grba et al. 1975).<br />

Trehalose is not merely chemical compounds that<br />

responsible to resurrection ability of Selaginella. The<br />

protective effect of trehalose is correlated with a trapping<br />

of the protein in a harmonic potential, even at relatively<br />

high temperature (Cordone et al. 1999). Deeba et al (2009)<br />

suggest that S. bryopteris, one kind of resurrection plants,<br />

has about 250 proteins that expressed in response to<br />

dehydration and rehydration, and involved in transport,<br />

targeting and degradation in the desiccated fronds. Harten<br />

and Eickmeier (1986) suggest that several conservationed<br />

enzymes are beneficial for rapid resumption of metabolic<br />

activity of S. lepidophyla. Furthermore, Eickmeier (1979;<br />

1982) suggests that both organelle- and cytoplasm-directed<br />

protein syntheses are necessary for full photosynthetic<br />

recovery during rehydration of S. lepidophyla.<br />

FUTURE RESEARCH<br />

Research on Selaginella is still widely challenging. In<br />

the most elementary study of plant taxonomy, the high<br />

morphological variation of Selaginella causes several<br />

misidentification of this taxon. In ecology, global warming,<br />

habitat fragmentation and degradation that affected on<br />

sustainability of this resource need to be observed. In<br />

physiology, changes of fluorescens and pigmentation<br />

caused by environmental factor and age need to be<br />

explained. In biochemistry, several natural products are not<br />

exploited yet. One of non-biflavonoid compound from<br />

Selaginella that needs to be further investigated is<br />

trehalose. Molecular study is also required clarifying<br />

certain identity and phylogenetics relationship.<br />

In Indonesia, several authors often misidentify<br />

Selaginella species, especially on popular article. This<br />

matter is often identified as S. doederleinii, including<br />

Javanese wild species. The most authors agree that S.<br />

doederleinii is recognized as non native plant of Indonesia,<br />

which natural distribution is India, Burma, Thailand, Laos,<br />

Cambodia, Vietnam, Malaya, Chinese, Hong Kong,<br />

Taiwan, and Japan (Huang 2006; USDA 2008). Java has no<br />

species of S. doederleinii according to Alston (1935a) and<br />

observation on Selaginella collection of Herbarium<br />

Bogoriense, through several Kalimantan collection is<br />

suspected and has morphological similarity to this species<br />

(ADS 2007, data is not shown). This matter is possibility<br />

caused by referring to Dalimartha (1999), which include S.<br />

doederleinii in Indonesian plant medicines. Harada et al.<br />

(2002) conduct similar misidentification, which cite S.<br />

plana as one of plant medicine in Mount Halimun NP<br />

(nowadays Mount Halimun-Salak NP), but the main picture<br />

presented is S. willdenowii. Field survey indicate that S.<br />

willdenowii is easily found in road side to Cikaniki<br />

Research Station of Mount Halimun-Salak NP, at rice field,<br />

shrubs land, primary and secondary forest, while S. plana is<br />

easier to be found in countrifield at lower height (ADS<br />

2008, personal observation).<br />

Species misidentification impacts on drug properties,<br />

because each species differ chemical constituent. Natural<br />

products content of Selaginella highly vary depending on<br />

species, although does not always congruent with<br />

traditional medical recipes. Sundanese people of Mount<br />

Halimun-Salak NP complementarily or substitutionally<br />

uses several Selaginella for treatment of after childbirth<br />

including S. ornata, S. willdenowii, S. involvens, and S.<br />

intermedia, but for similar recipe Sundanese around Bogor<br />

only uses S. plana (ADS 2008, personal observation).<br />

Morphological diversity at infra specific level, and changes<br />

on pigmentation caused by age, drought and other<br />

environmental factors able to entangle identify base on<br />

morphological characteristics. It needs identification base<br />

on molecular characteristic, such as Korall et al. (1999) and<br />

Korall and Kenrick (2002, 2004). Beside, taxonomy of<br />

Malesian Selaginella needs to revise, because still based on<br />

old literature namely Alderwereld van Rosenburgh<br />

(1915a,b; 1916, 1917, 1918, 1920, 1922) and Alston (1934,<br />

1935a,b; 1937, 1940). In a research brief about the<br />

traditional utilization of Selaginella in Indonesia, Setyawan<br />

(2009) collect at least 40 species of which half are<br />

estimated to new species or new records.<br />

Completely research on variability of biflavonoid<br />

compounds of various Selaginella species with various<br />

solvent have not conducted yet. This matter is only<br />

conducted to certain species, compounds, and solvents.<br />

Natural products of certain plant determine economical<br />

value that required in industrial scale of modern pharmacy.<br />

Species with various low content of natural products less<br />

value than species with restricted high content, because<br />

modern pharmacy exploits natural products at molecular<br />

level. However, this matter is not always become<br />

consideration in traditional medication, because it generally<br />

uses simplicia that can be easily substituted by each others.<br />

In phytochemistry and chemotaxonomy, high variety of<br />

natural products can assist identification, though each has<br />

no high content. However, a very low compound is not


SETYAWAN – Natural products of Selaginella 53<br />

significantly important for identification, because often<br />

influenced by environmental factors, not merely to genetic<br />

factor. Bioactivity of each biflavonoid also requires to be<br />

observed because nowadays only bioactivity of<br />

amentoflavone and ginkgetin has been completely studied.<br />

HPLC is potent method for analyzing of natural products of<br />

Selaginella (Fan et al. 2007).<br />

Besides, trehalose observation on Selaginella is still<br />

restricted on a few species, and need to be conducted to<br />

amount of other species caused by potent economic value<br />

that can be generated. It can preliminary indicated by<br />

species that incurling leaves in hot weather or drough<br />

condition.<br />

Biflavonoid study of Selaginella is still require attention<br />

such as: (i) the importance of assuring species identity<br />

caused by height morphological variety including by using<br />

molecular method; (ii) the importance of extending<br />

research coverage most of biflavonoid type, species, and<br />

extraction method; and also (iii) the importance of<br />

extending investigation on bioactivity, including nonbiflavonoid<br />

compound, which also have high economic<br />

potent such as trehalose.<br />

CONCLUSION<br />

Selaginella is a potent medicinal matter, which mostly<br />

contains phenolic (flavonoid), alkaloid, and terpenoid. This<br />

matter is traditionally used to cure several diseases<br />

especially for wound, after childbirth, and menstrual<br />

disorder. Biflavonoid, a dimeric form of flavonoids, is one<br />

of the most valuable natural products of Selaginella, which<br />

constituted at least 13 compounds, namely amentoflavone,<br />

2',8''-biapigenin, delicaflavone, ginkgetin, heveaflavone,<br />

hinokiflavone, isocryptomerin, kayaflavone, ochnaflavone,<br />

podocarpusflavone A, robustaflavone, sumaflavone, and<br />

taiwaniaflavone. Human medically use biflavonoid<br />

especially for antioxidant, anti-inflammatory, and anti<br />

cancer. Selaginella also contains several natural products,<br />

such as trehalose which valuable for bioindustry.<br />

Selaginella research exhaustively needs to be conducted to<br />

explore all natural products constituents and their<br />

bioactivities.<br />

ACKNOWLEDGEMENTS<br />

I would like to thank Prof. Dr. Keon Wook Kang from<br />

Chosun University, Gwangju, South Korea which delivered<br />

a number of valuable articles on chemistry of biflavonoid. I<br />

also thank Prof. Dr. Umesh R. Desai from Commonwealth<br />

University, Virginia, USA for permitting to cite a very<br />

interesting article on biosynthesis of biflavonoid. Grateful<br />

thank to Prof. Dr. Raphael Ghogomu-Tih from University<br />

of Yaoundé, Cameron for suggesting to write this article in<br />

international language. Sincere thanks are expressed to the<br />

late Dr. Muhammad Ahkam Soebroto from Research<br />

Center for Biotechnology, Indonesian Institute of Science,<br />

Cibinong-Bogor and anonymous peer reviewer of this<br />

article for their criticism. I also would like to thank Prof.<br />

Dr. Wasmen Manalu from SEAMEO-BIOTROP Bogor<br />

which had invited me for training in writing scientific<br />

articles.<br />

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| Nus Biosci | vol. 3 | no. 1 | pp. 1‐58 | March 2011 |<br />

<strong>ISSN</strong> <strong>2087</strong>‐<strong>3940</strong> (<strong>PRINT</strong>) | <strong>ISSN</strong> <strong>2087</strong>‐<strong>3956</strong> (ELECTRONIC)<br />

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Evaluation structural diversity of Carpinus betulus stand in Golestan Province, North of<br />

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Review: Natural products from Genus Selaginella (Selaginellaceae)<br />

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