ISSN 2087-3940 (PRINT) | ISSN 2087-3956 ... - Biodiversitas
ISSN 2087-3940 (PRINT) | ISSN 2087-3956 ... - Biodiversitas
ISSN 2087-3940 (PRINT) | ISSN 2087-3956 ... - Biodiversitas
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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 />
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Blackwell, New York.<br />
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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 />
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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 />
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EE (eds). The biochemistry of plants. Vol. 2. Academic Press. New<br />
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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 />
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Mashhad, IR Iran.<br />
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(scoping) economic analysis and synthesis. Final Report for the<br />
European Commission, Venice, Italy.<br />
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coniferous forest, central Japan. For Ecol Manag 182: 259-272.<br />
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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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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 />
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 />
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