i
NODULATION AND NITROGEN FIXATION POTENTIAL OF SESBANIA SPP.
RHIZOBIA ON SESBANIA SESBAN (L.) MERR. AND ROSE COCO (PHASEOLUS
VULGARIS L.)
MAKATIANI EMMANUEL TENDWA (B.Sc.)
REG. NO. I56/22389/2012
A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE
REQUIREMENTS FOR THE AWARD OF THE DEGREE OF MASTER OF
SCIENCE (MICROBIOLOGY) IN THE SCHOOL OF PURE AND APPLIED
SCIENCES OF KENYATTA UNIVERSITY.
MARCH, 2018
ii
iii
DEDICATION
This work is dedicated to my family Rose Nasimiyu (Mama Goddy), Linda D. Indakwa,
Godfrey Musa, Alex Imbahala, Linda I. Makatiani, Diana Ihavi and Larisa Makatiani.
iv
ACKNOWLEDGMENT
First I thank The Almighty God for health and life. I express my deepest gratitude to my
supervisors Dr. John M. Maingi, Dr. Omwoyo Ombori and Dr. David W. Odee for
accepting me as their M.Sc. student and for providing all necessary support to finish my
research work. I owe my deepest gratitude to all of them for their critical advice in
research, scientific guidance, confidence and enormous support during my study period.
I am deeply indebted to KEFRI administration for financial support towards my field
and laboratory work as well as research facility (molecular, microbiology laboratories
and glasshouse) at Muguga complex. I am grateful for the technical advice, support and
encouragement provided by the KEFRI Biotechnology staff and in particular Joseph
Machua, John Gicheru, John Ochieng, Stephen Omondi and Milton Esitubi. Special
thanks go to Charles Oduor for his technical assistance during my work under
glasshouse conditions. I appreciate Mr. Morris Muthini for his technical advice in
molecular protocols. I am deeply grateful to my wife, Rose Nasimiyu for her limitless
inspiration, understanding, sacrifice and taking care of our children during the time of
my study. I am grateful to AFORNET project and Dr. Herta Kolberg for nodule
collection in East Africa and Namibia respectively. I can never thank you enough and
also it is hard to include all persons by name in this page. May God bless you all in
abundance.
v
TABLE OF CONTENTS
TITLE. .......................................................................................................................... i
DECLARATION ............................................................. Error! Bookmark not defined.
DEDICATION ............................................................................................................ ii
ACKNOWLEDGMENT ............................................................................................ iv
TABLE OF CONTENTS ............................................................................................ v
LIST OF FIGURES .................................................................................................. xii
LIST OF PLATES ................................................................................................... xiv
ACRONYMS AND ABBREVIATIONS .................................................................. xv
ABSTRACT............................................................................................................ xviii
CHAPTER ONE ......................................................................................................... 1
INTRODUCTION ....................................................................................................... 1
1.1 Background information.......................................................................................... 1
1.2 Problem statement ................................................................................................... 4
1.3 Justification ............................................................................................................. 4
1.4 Research hypotheses ............................................................................................... 5
1.5 Objectives ............................................................................................................... 6
1.5.1 General objective ................................................................................................. 6
1.5.2 Specific objectives ............................................................................................... 6
1.6 Significance of the study ......................................................................................... 6
CHAPTER TWO ........................................................................................................ 8
LITERATURE REVIEW ........................................................................................... 8
2.1 Nitrogen reserves in the atmosphere and soil ........................................................... 8
2.2 Mechanisms of nitrogen fixation ............................................................................. 9
2.2.1 Mechanisms of biological nitrogen fixation ....................................................... .10
2.3 Legume–rhizobia symbiotic promiscuity ............................................................. ..13
2.4 The degree of specificity and nitrogen fixation effectiveness between legumes
and rhizobia ......................................................................................................... 14
2.5 Sesbania sesban and legume nodulating bacteria ................................................... 16
2.6 Common beans ..................................................................................................... 17
2.6.1 Origin and distribution of common beans ........................................................... 17
2.6.2 Uses of common beans ....................................................................................... 18
2.6.3 Common beans production and its limitations .................................................... 18
2.6.4 Biology of common beans .................................................................................. 19
vi
2.6.5 Symbiosis of common beans with rhizobia ........................................................ .20
2.7 Characterization and identification of rhizobia ..................................................... .20
2.7.1 Methods for rhizobial identification................................................................... .21
2.7.1.1 Phenotypic identification......................................................................................22
2.7.1.2 Molecular techniques used in rhizobial identification..........................................22
2.8 Characteristics and current classification of rhizobia ............................................. 26
CHAPTER THREE .................................................................................................. 28
MATERIALS AND METHODS .............................................................................. 28
3.1 Study site .............................................................................................................. 28
3.2 Source of nodules .................................................................................................. 28
3.3 Media for culturing of rhizobia .............................................................................. 30
3.4 Isolation, purification and preservation of root nodule bacterial isolates ................ 30
3.5 Phenotypic characteristics of sesbania rhizobia ..................................................... 31
3.5.1 Determination of rhizobial growth rate and colony characteristics ...................... 32
3.5.2 YEMA‒BTB medium colour change by sesbania rhizobial isolates .................... 32
3.5.3 Gram staining ..................................................................................................... 32
3.6 Determination of genotype composition of sesbania rhizobia using PCR‒RFLP .... 33
3.6.1 Intrinsic antibiotic resistance assay ..................................................................... 33
3.6.1.1 Preparation of YEMA‒antibiotics media.............................................................35
3.6.1.2 Rhizobial culturing for intrinsic antibiotic resistance assay.................................35
3.6.1.3 Inoculation of rhizobial cultures on YEMA‒ antibiotics media..........................36
3.6.2 Screening of rhizobial isolates for salt tolerance levels ....................................... 36
3.6.3 Selection of sesbania rhizobia for PCR‒RFLP assays ......................................... 36
3.6.4 Rhizobial DNA extraction .................................................................................. 37
3.6.5 PCR mastermix preparation ................................................................................ 39
3.6.6 16S rRNA‒PCR amplification conditions ........................................................... 40
3.6.7 Gel electrophoresis of rhizobial 16S rRNA PCR products .................................. 40
3.6.8 Restriction of 16S rRNA gene PCR amplicons ................................................... 40
3.6.9 Gel electrophoresis of restriction fragments of rhizobial 16S rRNA .................... 41
3.7 Isolates effectiveness test with Sesbania sesban and common bean plants using
Leonard jar assembly ........................................................................................... 41
3.7.1 Plant materials .................................................................................................... 41
3.7.2 Experimental design ........................................................................................... 42
3.7.3 Seed pretreatment and pre‒germination .............................................................. 42
3.7.4 Preparation of Leonard jar assembly ................................................................... 42
vii
3.7.5 Preparation of nitrogen‒free plant nutrient solution ............................................ 43
3.7.6 Transfer of pre‒germinated seeds to vermiculite in Leonard jars ........................ 43
3.7.7 Inoculant preparation and inoculation of the host plant ....................................... 44
3.7.8 Harvesting of Sesbania sesban and common beans ............................................. 45
3.7.9 Determination of shoot total nitrogen ................................................................. 45
3.7.10 Determination of symbiotic efficiencies (%) ..................................................... 46
3.8 Data analysis ......................................................................................................... 47
CHAPTER FOUR..................................................................................................... 48
RESULTS .................................................................................................................. 48
4.1 Morphological characterization ............................................................................. 48
4.2 Characteristics of sesbania rhizobia on YEMA‒BTB media .................................. 57
4.3 Gram staining........................................................................................................ 59
4.4.1 Intrinsic antibiotic resistance of sesbania isolates ............................................... 60
4.4.2 Rhizobia tolerance to sodium chloride ................................................................ 70
4.4.3 Selection of rhizobial isolates for PCR‒RFLP .................................................... 71
4.5.1 Estimation of rhizobial 16S rRNA amplicons using gel electrophoresis .............. 81
4.5.2 Separation of 16S rRNA restriction bands using gel electrophoresis ................... 83
4.5.3 Phylogenetic clusters of sesbania rhizobia .......................................................... 85
4.6 Symbiotic efficiency test of sesbania rhizobia on Sesbania sesban plants using
Leonard jars in the greenhouse ............................................................................. 96
4.6.1Correlation among shoot dry weight, nodule number, nodule dry weight,
nitrogen concentration and SE of S. sesban ……………………………………...110
4.7 Symbiotic effectiveness test of sesbania rhizobial isolates on Rose coco bean
plants using Leonard jars .................................................................................... 113
4.7.1 Correlation among shootdry weight, nodule number, nodule dry weight,
nitrogen concentration and SE of common bean plants…………………………..124
4.8 Multiple rhizobial occupancy in root nodules of Sesban sesban ........................... 129
4.9 Sesbania sesban and common bean cross‒inoculating isolates ............................ 131
CHAPTER FIVE..................................................................................................... 133
DISCUSSION, CONCLUSIONS AND RECOMMENDATIONS ........................ 133
5.1 Discussion........................................................................................................... 133
5.1.1 Morpho–cultural characterization of sesbania rhizobia ..................................... 133
5.1.2 Intrinsic antibiotic resistance and salt tolerance ................................................ 135
5.1.3 Molecular characterization of sesbania rhizobia...................................................138
5.1.4 Nodulation and nitrogen fixation potential of sesbania rhizobia on S. sesban .... 138
viii
5.1.5 Nodulation and nitrogen fixation potential of sesbania rhizobia on Rose coco
bean variety………………………………………………………………………..141
5.2 Conclusions ........................................................................................................ 143
5.3 Recommendations ............................................................................................... 143
REFERENCES ........................................................................................................ 145
APPENDICES ......................................................................................................... 164
ix
LIST OF TABLES
Table 3.1:
Origin of sesbania nodules used in this study ………………...
29
Table 3.2:
Reference strains used in PCR‒RFLP assays, their host plants
and sources …………………………………..…………..........
37
Recipe for Hexadecyltrimethylammonium bromide extraction
buffer …………………………….............................................
38
Characteristics of sesbania rhizobial isolates on YEMA‒CR
media ………………………………………………………….
49
Percent composition of sesbania rhizobia in each of the nine
morphotypes ………………………………………………….
51
Distribution of S. sesban isolates from four Kenyan sites in
nine morphotypes …………………………………………......
54
Distribution of S. sesban isolates from three Ugandan sites in
nine morphotypes….………………………………..................
55
Distribution of S. sesban isolates from two Tanzanian sites in
nine morphotypes…..……………………………………........
56
Distribution of sesbania isolates from eight Namibian sites in
nine morphotypes……………………………………………...
57
pH reaction of sesbania rhizobial isolates on YEMA‒BTB
media………………………………………………..................
58
Percent intrinsic antibiotic resistance of S. sesban rhizobia
from Kenya.................................................................................
64
Percent intrinsic antibiotic resistance of S. sesban rhizobial
isolates from Uganda……………………………………….....
65
Percent intrinsic antibiotic resistannce of S. sesban rhizobial
isolates from Tanzania...............................................................
67
Percent antibiotic resistance of Sesbania spp. rhizobial
isolates from Namibia…………………………………………
69
List of sesbania rhizobial isolates and reference strains used
for PCR‒RFLP assay …………………………………………
80
Table 3.3:
Table 4.1:
Table 4.2:
Table 4.3a:
Table 4.3b:
Table 4.3c:
Table 4.3d:
Table 4.4:
Table 4.5a:
Table 4.5b:
Table 4.5c:
Table 4.5d:
Table 4.6:
Table 4.7a:
Sesbania sesban rhizobia from Kenya clustered using
UPGMA based on combined patterns of 16S rRNA
PCR‒RFLP (MspI, HinfI and HaeIII) compared to reference
strains ………………………………………………………… 88
x
Table 4.7b:
Sesbania sesban rhizobia from Uganda clustered using
UPGMA based on combined patterns of 16S rRNA
PCR‒RFLP (MspI, HinfI and HaeIII) compared to reference
strains ……………………..………………………………….
90
Table 4.7c:
Sesbania sesban rhizobia from Tanzania clustered using
UPGMA based on combined patterns of 16S rRNA
PCR‒RFLP (MspI, HinfI and HaeIII) compared to reference
strains ………………………………………………………… 93
Table 4.7d:
Sesbania sesban rhizobia from Namibia clustered using
UPGMA based on combined patterns of 16S rRNA
PCR‒RFLP (MspI, HinfI and HaeIII) compared to reference
strains ………………………………………………………… 96
Table 4.8:
Effect of sesbania rhizobial isolates from Kenya, Uganda,
Tanzania and Namibia on shoot dry weight, nodule dry weight
and nodule number of S. sesban...……………………..............
99
Nodulation and nitrogen fixation phenotypes of Sesbania
sesban rhizobial isolates from Kenya on S. sesban…………...
103
Table 4.9a:
Table 4.9b:
Nodulation and nitrogen fixation phenotypes of Sesbania
sesban rhizobial isolates from Uganda on S. sesban…………. 104
Table 4.9c:
Nodulation and nitrogen fixation phenotypes of Sesbania
sesban rhizobial isolates from Tanzania on S. sesban………... 105
Table 4.9d:
Nodulation and nitrogen fixation phenotypes of sesbania
rhizobial isolates from Namibia on S. sesban………………… 106
Table 4.9e:
Nodulation and nitrogen fixation phenotypes of reference
strains on S. sesban…………………………………………… 107
Table 4.10:
Effect of some sesbania rhizobial isolates on percent nitrogen,
N content, N fixation ratio and the symbiotic effectiveness of
S. sesban……………………………………………………… 108
Table 4.11:
Correlation between shoot dry weight, nodule number, nodule
dry weight, nitrogen concentration and symbiotic
effectiveness of rhizobia in S. sesban………………………… 112
Table 4.12:
Effect of sesbania rhizobial isolates on shoot dry weight,
nodule dry weight and nodule number of common beans……. 116
Table 4.13:
Effect of sesbania rhizobial isolates on percent nitrogen, N
content, N fixation ratio and the symbiotic effectiveness of
common beans ……………………………………………….. 118
Table 4.14a:
Nodulation and nitrogen fixation phenotypes of S. sesban
rhizobial isolates from Kenya on common beans ……………. 120
xi
Table 4.14b:
Nodulation and nitrogen fixation phenotypes of S. sesban
rhizobial isolates from Uganda on common beans..………….. 121
Table 4.14c:
Nodulation and nitrogen fixation phenotypes of S. sesban
rhizobial isolates from Tanzania on common beans………….. 122
Table 4.14d:
Nodulation and nitrogen fixation phenotypes of sesbania
rhizobial isolates from Namibia on common beans…………... 123
Table 4.14e:
Nodulation and nitrogen fixation phenotypes of reference
rhizobial strains from Kenya on common beans…………….... 124
Table 4.15:
Correlation between shoot dry weight, nodule number, nodule
dry weight, nitrogen concentration and SE on common
beans........................................................................................... 126
Table 4.16:
Sesbania rhizobia with infective traits on common beans...…..
Table 4.17:
Growth response of S. sesban on inoculation using multiple
nodules co-occupant rhizobia…………………………………. 130
128
xii
LIST OF FIGURES
Fig. 4.1:
Neighbour joining dendrogram constructed based on colony
morphological traits using UPGMA showing relatedness of
sesbania rhizobial isolates …………………………………....... 52
Fig. 4.2:
Colour change of YEMA-BTB by sesbania rhizobial isolates..... 59
Fig. 4.3
Schematic diagram showing orientation of isolates on Plate
4.5................................................................................................. 61
Fig. 4.4:
Resistance of sesbania rhizobial isolates to antibiotics................
Fig. 4.5:
Tolerance of sesbania rhizobia to different sodium chloride
concentrations……………………………………....................... 71
Fig. 4.6a:
Unrooted neighbour joining dendrogram constructed based on
IAR and salt tolerance using UPGMA method showing
relatedness clusters I and II of sesbania rhizobial isolates from
Bumala …………………………………………………………. 72
Fig. 4.6b:
Unrooted neighbour joining dendrogram constructed based on
IAR and salt tolerance using UPGMA method showing
relatedness clusters I and II of sesbania rhizobial isolates from
Kuinet ………………….............................................................. 72
Fig. 4.6c:
Unrooted neighbour joining dendrogram constructed based on
IAR and salt tolerance using UPGMA method showing
relatedness clusters I and II of sesbania rhizobial isolates from
Gituamba ………………………………………………………. 73
Fig. 4.6d:
Unrooted neighbour joining dendrogram constructed based on
IAR and salt tolerance using UPGMA method showing
relatedness clusters I and II of sesbania rhizobial isolates from
Kavutiri …………………........................................................... 74
Fig. 4.6e:
Unrooted neighbour joining dendrogram constructed based on
IAR and salt tolerance using UPGMA method showing
relatedness clusters I and II of sesbania rhizobial isolates from
75
Tororo …………………………………………………………
Fig. 4.6f:
Unrooted neighbour joining dendrogram constructed based on
IAR and salt tolerance using UPGMA method showing
relatedness clusters I and II of sesbania rhizobial isolates from
75
Mbale ………………………………………………………….
Fig. 4.6g:
Unrooted neighbour joining dendrogram constructed based on
IAR and salt tolerance using UPGMA method showing
relatedness clusters I and II of sesbania rhizobial isolates from
76
Kabale …………………………………………………………
62
xiii
Fig. 4.6h:
Unrooted neighbour joining dendrogram constructed based on
IAR and salt tolerance using UPGMA method showing
relatedness clusters I and II of sesbania rhizobial isolates from
Lushoto ………………………………………………………… 77
Fig. 4.6i:
Unrooted neighbour joining dendrogram constructed based on
IAR and salt tolerance using UPGMA method showing
relatedness clusters I and II of sesbania rhizobial isolates from
SUA …………………................................................................. 78
Fig. 4.6j:
Unrooted neighbour joining dendrogram constructed based on
combined IAR and salt tolerance using UPGMA method
showing relatedness clusters I‒V of sesbania rhizobial isolates
79
from Namibia …………………………………………………
Fig. 4.7a:
Unrooted UPGMA dendrogram showing clusters generated by
combined restriction patterns of amplified 16S rRNA
(HinfI+HinfI+HaeIII) of S. sesban rhizobia from Kenya and
86
reference strains.………………………………………………
Fig. 4.7b:
Unrooted UPGMA dendrogram showing clusters generated by
combined restriction patterns of amplified 16S rRNA
(HinfI+HinfI+HaeIII) of S. sesban rhizobia from Uganda and
reference strains ……………………………………………….. 89
Fig. 4.7c:
Unrooted UPGMA dendrogram showing clusters generated by
combined restriction patterns of amplified 16S rRNA
(HinfI+HinfI+HaeIII) of S. sesban rhizobia from Tanzania and
reference strains ………………………………...........................
91
Unrooted UPGMA dendrogram showing clusters generated by
combined restriction patterns of amplified 16S rRNA
(HinfI+HinfI+HaeIII) of sesbania rhizobia from Namibia and
reference strains……....................................................................
94
Fig. 4.7d:
Fig. 4.8:
Effectiveness of some selected sesbania rhizobial isolates on
S. sesban plants.…………............................................................
110
Fig. 4.9:
Effectiveness of sesbania rhizobial isolates on common beans...
119
Fig. 4.10a:
Response of inoculation on shoot dry weight (g) of S. sesban..... 131
Fig. 4.10b:
Response of inoculation on shoot dry weight (g) of common
bean …………………………………………………………...... 132
xiv
LIST OF PLATES
Growth of sesbania rhizobial on YEMA‒CR media showing
colony morphotypes I‒IX …………………………………......
50
Rhizobial colonies on YEMA media showing H, hollow
centre..........................................................................................
51
pH reaction characteristics of sesbania rhizobia on
YEMA‒BTB media …………………………………………...
58
Plate 4.4:
Gram’s negative rod‒shaped rhizobia………………………....
60
Plate 4.5:
Sensitivity of sesbania isolates to antibiotics ………................
61
Plate 4.6:
Sensitivity of sebania rhizobia to high salt levels (NaCl w/v)
compared to controls ……………………………………….... 70
Plate 4.7:
Agarose gel electrophoresis showing amplicon bands of 16S
rRNA region ………………………………………………….
82
Plate 4.8a: Agarose electrophoresis patterns of 16S rRNA gene region of
sesbania rhizobial isolates generated as a result of restriction
digestion using endonuclease MspI............................................
83
Plate 4.1:
Plate 4.2:
Plate 4.3:
Plate 4.8b: Agarose electrophoresis patterns of 16S rRNA gene region of
sesbania rhizobial isolates generated as a result of restriction
digestion using endonuclease HinfI…………………………... 84
Plate 4.8c: Agarose electrophoresis patterns of 16S rRNA gene region of
sesbania rhizobial isolates generated as a result of restriction
digestion using endonuclease HaeIII………………………..... 84
Plate 4.9:
Eight week-old S. sesban plants inoculated with sesbania
rhizobial isolates.…………………………………………........ 97
Plate 4.10: Transverse section of nodules formed by sesbania isolates on
S. sesban……………………………………………………..... 98
Plate 4.11: Four week‒old common bean plants inoculated with sesbani
rhizobial isolates.…………………………………………….... 113
Plate 4.12: Nodules on roots of four‒week old common bean inoculated
using S. sesban rhizobial strain MASS133………………….... 114
Plate 4.13: Transverse section of nodules formed by sesbania isolates on
common bean…………………………………………………. 115
xv
ACRONYMS AND ABBREVIATIONS
ACIAR
Australian Centre for International Agricultural Research
AFORNET
African Forest Research Network
ALFP
Amplified Fragment Length Polymorphisms
ANOVA
Analysis of Variance
ARISA
Automated Ribosomal Intergenic Spacer Analysis
atm
atmospheres
ATP
Adenosine Triphosphate
BA
Beatrice Anyango
BMC
BioMed Central
BNF
Biological Nitrogen Fixation
bp
base pair
BSA
Bovine Serum Albumin
BTB
Bromothymol Blue
CA
California
CFN
Centro de Investigacion sobre Fijacion de Nitrogeno
CIAT
Centro Internacional d'Agricultura Tropical
CIRA
Centre International de Recherches sur l'Anarchisme
CIRAD
Center for International Cooperation in Agronomic Research for
Development
CR
Congo Red
CTAB
Cetyl trimethyl ammonium bromide
DGGE
Denaturing Gradient Gel Electrophoresis
DNA
Deoxyribonucleic acids
DWO
David Warambo Odee
EDTA
Ethylenediaminetetra‒acetic acid
EPS
Exopolysaccharide
FAO
Food and Agriculture Organization
FEMS
Federation of European Microbiological Societies
g
gram
GenAlEx
Genetic Analysis in Excel
GENSTAT
General Statistics
HSD
Honest Significant Difference
xvi
IAR
Intrinsic Antibiotic Resistance
IGS
Intergenic Spacer
IVS
Intervening Sequences
KARI
Kenya Agricultural Research Institute
kb
kilobase
KEFRI
Kenya Forestry Research Institute
KFR
Kenya Forestry Research
kJ
Kilo Juoles
LNB
Legume Nodulating Bacteria
masl
metres above sea level
MASS
Makatiani Sesbania sesban
MEGA
Molecular Evolutionary Genetics Analysis
MIRCEN
Microbiological Resources Centers
mL
Millilitre
µL
Microlitre
MLSA
Multilocus Sequence Analysis
MN
Makatiani Namibia
MoALF
Ministry of Agriculture, Livestock and Fisheries (Kenya)
MPa
Mega Pascals
NDWt.
Nodule Dry Weight
NGS
Next-Generation Sequencing
NiFTAL
Nitrogen Fixation by Tropical Agricultural Legumes
NJ
Neighbour Joining
NNo.
Nodule Number
PABRA
Pan-African Bean Research Alliance
PAST
PAleontological STatistics
PCR
Polymerase Chain Reaction
PGP
Plant Growth Promoting
pH
potential Hydrogen
PLOS
Public Library of Science
Psi
Pascal per square inch
PVP
Polyvinylpyrrolidone
RAPD
Random Amplified Polymorphic DNA
RFLP
Restriction Fragment Length Polymorphism
xvii
RISA
Ribosomal Intergenic Spacer Analysis
rRNA
ribosomal RNA
SDWt.
Shoot Dry Weight
SE
Symbiotic effectiveness
SNWt.
Specific Nodule Weight
SUA
Sokoine University of Agriculture
TE
Tris‒EDTA
TGGE
Temperature Gradient Gel Electrophoresis
TSBF
Tropical Soil Biology and Fertility
VE
Very Efficient
UN
United Nations
UPGMA
Unweighted Pair Group Method with Average
USDA
United States Department of Agriculture
UVP
Ultraviolet Products
YEMB
Yeast Extract Mannitol broth
YEMA
Yeast Extract Mannitol Agar
xviii
ABSTRACT
Global crop and energy production are fast dwindling inversely to population growth.
Common bean (Phaseolus vulgaris L.) yield has reduced worldwide due to soil
infertility which can be reversed through application of chemical fertilizers. The
chemical fertilizers used to ameliorate nitrogen, phoshorus and potassium are expensive
and cause both deleterious physico‒chemical modification of soil and water mass
eutrophication. The common bean has ability to fix atmospheric nitrogen symbiotically
with rhizobia but only a few effective strains have been recovered from African soils,
most of them ineffective under field conditions. Prospecting from local pool of strains
trapped by wild native species like sesbania can increase the number of elite inoculant
production strains for both species in agroforestry systems practiced under diverse soil
and eco-climatic conditions. The specific objectives of this study were: to assess the
phenotypic and genotypic characteristics of rhizobia from root nodules of East Africa
and Namibia Sesbania spp. (here after referred to as sesbania) using morpho-cultural
characteristics and PCR‒RFLP methods; to assess the nitrogen fixation potential of
sesbania isolates on S. sesban using growth parameters; and to determine the
infectiveness and symbiotic effectiveness of sesbania rhizobia on common beans.
Experiments were carried out at the Kenya Forestry Research Institute,
Muguga‒Nairobi, Kenya. Morpho-cultural techniques were used to characterize and
cluster 128 presumptive sesbania rhizobia collected from Kenya, Uganda, Tanzania and
Namibia. The diverse growth characteristics of rhizobia on YEMA media, intrinsic
antibiotic resistance and salt tolerance were used to select for 79 sesbania isolates that
were later subjected to fingerprinting assays using PCR‒RFLP of the 16S rDNA in
comparison with 17 reference strains. The presumptive sesbania rhizobial isolates were
used to inoculate S. sesban and common bean under glasshouse controlled conditions to
test for their infectiveness and symbiotic effectiveness. Reference inoculants strains
KFR647 and BA37 for S. sesban and bean respectively, were included in the test.
Uninoculated positive control (70 ppm N as KNO3) and a negative control (0 ppm N)
were included for strain effectiveness comparison and to check for contamination. The
sesbania rhizobia were grouped into nine morphotypes and various ribotypes per site.
The rhizobia varied in their infectiveness and symbiotic effectiveness on S. sesban and
the common bean resulting in three categories viz: (1) highly effective (2) effective and
(3) ineffective. The mean shoot dry weight, nodule number and nodule dry weight were
all significantly different (p < 0.001). The shoot N content range was 0.16‒5.66 mg
plant-1 and 0.34‒3.08 mg plant-1 for S. sesban and common beans at 8 and 4 weeks of
growth respectively. Based on shoot dry weight due to inoculation, rhizobial isolate
KFR402 was preferred as a common inoculant production strain for both common beans
and S. sesban. However, data in the present study shows that the highest shoot dry
weight was obtained with strain MASS133 (S. sesban) inoculated on Rose coco bean
variety (0.87 g plant-1) and MASS172 (S. sesban) on S. sesban (1.06 g plant-1). Rhizobia
recovered from sesbania grown in East Africa and Namibia are phenotypically and
genetically diverse. The isolates exhibit great variations in effectiveness and nitrogen
fixation efficiency on S. sesban and common beans (variety: Rose coco). Prospecting for
elite rhizobia inoculant strains should be prioritized and tested for effectiveness on both
S. sesban and common bean grown in diverse edaphic and agro-ecological conditions
under agroforestry systems.
1
CHAPTER ONE
INTRODUCTION
1.1 Background information
Food production in heavily populated regions has remained steady, but at levels too
low to mitigate widespread nutritional deficiencies. This has led to famines
worldwide, which has resulted in the clearing of swathes of forest lands to pave way
for crop production thereby reducing forest acreage to less than the recommended 10
% cover (FAO, 2012). Although at the onset, converted forest land is rich in soil
nutrients, leaching and fixation of nutrients together with over‒cultivation and crop
harvesting methods like 'cut and carry' eventually diminishes the soil fertility
(Yeshaneh, 2015). Apart from inadequate supply of water to crops, tropical soils
have nitrogen as the number one deficient plant nutrient followed by phosphorus.
The only environmental friendly and feasible way to alleviate nitrogen deficiency in
soils is the inclusion of nodule forming herbaceous crops and tree legumes on farms,
which constitutes agro‒forestry.
Common beans, peas, groundnuts are among legume crops grown in East and
Southern Africa. The common bean appears on many agricultural farmlands
worldwide (Morosan et al., 2017). The pulse is an annual herb that matures between
one and three months (Koskey et al., 2017), hence used to alleviate hunger during
food scarcity. Although common bean also provides high protein content that
replaces meat which has become very expensive for the poor (Romero-Arenas et al.,
2013), its current production is far less than the expected yields. For instance, there
was a common bean deficit of 26 kilo-tonnes in 2014 in the Kenyan market
(MoALF, 2015). This is more often than not due to low soil fertility experienced in
2
East and Southern Africa. Therefore, a common bean crop must be supplemented
with nitrogen‒containing chemical fertilizers especially when growing in intensively
farmed lands or naturally infertile soils. However, common bean is a legume that is
expected to fix atmospheric nitrogen for their protein precursors if they successfully
enter into symbiosis with compatible micro‒symbionts (Ribeiro et al., 2013). But
being a naturalised legume in African soils, it often fails to fix atmospheric nitrogen
due to the presence of ineffective rhizobia or occurrence of inadequate effective
strains or total absence of compatible rhizobia (Catroux et al., 2001). Such scenarios
call for a mandatory inoculation of seeds before they are sown and hence the need to
select for rhizobia of high nitrogen fixation effectiveness.
One of the methods used for selection of superior rhizobia is the determination of
cross‒inoculation groups that may consist of crops and wild legumes (Gaur and Sen,
1979) whose members have ability to share the symbionts. Few trials have been
made to cross‒inoculate the common beans with rhizobia baited using wild legumes
including multipurpose trees grown on‒farm (Bala and Giller, 2001). A search for
elite strains begins with collection of nodules from roots of legumes which act as
baits for rhizobia from a consortium of microbes found in the soil followed by
cross‒inoculation assays (Somasegaran and Hoben, 1994). Inoculation of hosts using
a prospective inoculant strain is the only option to test for the symbiosis because
identification and taxonomy does not globally reflect the symbiotic features of
rhizobia, particularly their legume host range (Laguerre et al., 2001).
Leguminous trees are also grown on agricultural lands in East and Southern Africa
but their choice is dependent on the benefits, suitability and interaction with crops.
3
Some of the common tree legumes include Sesbania spp., Acacia spp., Leucaena
spp., Calliandra spp. and Gliricidia spp. Like the common beans, sesbania are
members of sub‒family Papilionaceae, family Leguminosae (Fabaceae) (Heuzé et
al., 2015). Sesbania sesban is common in crop lands in East and Southern Africa
intercropped with common beans and maize. Sesbania sesban, as well as other
species of the genus have multiple uses that include fuelwood, soil nutrient
enrichment fodder for both domestic animals and wild browsers and as medicinal
plants (Gomase et al., 2012).
The common bean has been associated with a broad range of Rhizobium spp., all of
which have been described in different areas where common beans have been
introduced globally (Anyango et al., 1995). Although the common bean has its origin
in the Mesoamerican it has been reported to nodulate with rhizobia native to Africa,
some of them ineffective in N2-fixation (Michiels et al., 1998). Such ineffectiveness
in N2-fixation has partly been attributed to the ability of P. vulgaris to perceive
nodulation signals from diverse rhizobial strains some of which are ineffective
(Dall’Agnol et al., 2014). However, rhizobia similar to Rhizobium etli, R. phaseoli
and R. tropici have been described in African soils (Anyango et al., 1995; Aserse et
al., 2012) and shown to nodulate common beans. It is routine to use common beans
as trap hosts during rhizobial population studies and bioprospecting for elite strains
in new bean growing fields. The native rhizobial populations may have superior traits
of resistance to adverse abiotic conditions found in most soils of the tropics (Zahran,
1999). Hence, the key role of this research was to determine the diversity of sesbania
rhizobia and identify rhizobial strain(s) to be used as common inoculant for both S.
sesban and the common beans in agroforestry systems.
4
1.2 Problem statement
There is a great need to increase crop production and energy sources worldwide due to
population increase (UN, 2013), which comes along with reduced purchasing power,
especially for food. Global common bean production is way far below the expected yield
mainly due to the ever declining soil fertility which can be reversed through application
of chemical fertilizers (Fischer et al., 2014). The demand for common bean is on the
increase as the world population and poverty increases (Porch et al., 2013). However, the
use of chemical fertilizers is not only expensive, but has for long been implicated for both
deleterious physico‒chemical modification of soil and water mass eutrophication (Savci,
2012).
Common beans can establish symbiotic associations with several rhizobia species
(Anyango et al., 1995); but the effectiveness of most strains under field conditions
has been reported as very low (Ribeiro et al., 2013). So far, the pulse has been
symbiotically associated with members of the genera Rhizobium and Sinorhizobium
(Laguerre et al., 2001). The primary nitrogen fixation microsymbiont of the common
beans is Rhizobium tropici which is found in native bean growing Mesoamerican and
the Andean centre. Rhizobium tropici has been discovered associating with other
legumes growing where the common bean is not native (Grange et al., 2007).
1.3 Justification
Unlike the common bean, sesbania is native to Africa and associate effectively with a
number of rhizobia genera including Rhizobium spp., Mesorhizobium spp. and
Ensifer (Odee et al., 2002; Helene et al., 2015) among others. Exploration of new
habitats and investigating nodulation of sesbania and other wild legumes cannot only
5
help to discover unidentified rhizobia, but also supports efforts of selecting effective
combinations of legume‒Rhizobium genotype to exploit the huge potential of
increased nitrogen fixation. Both common bean and S. sesban rhizobia are affiliated
to members of the genus Rhizobium and therefore have a likelihood of associating
with similar strains in the absence of their specific types.
There are reports of frequent occurrence of common bean rhizobial isolates in East
and Southern African soils that are more effective than CIAT899 (Anyango et al.,
1995). However, little work has been carried out to determine cross-inoculating
group containing P. vulgaris and other native legumes. Currently there is paucity of
information on cross‒inoculation regarding the common bean and sesbania.
Discovery and identification of elite rhizobial strains through cross‒inoculation
experiments serve to make superior and multiple host inoculants hence reducing the
cost of its production and purchase. Inoculation of legumes is not only environmental
friendly way to enhance crop production but also a cheap way of reducing
environmental pollution.
1.4 Research hypotheses
i.
H0: There are phenotypic and genotypic differences among the rhizobia
isolated from various sesbania grown in East Africa and Namibia.
ii.
H0: Rhizobia from root nodules of sesbania are effective and efficiently fix
nitrogen with S. sesban.
iii.
H0: Sesbania rhizobial isolates are effective and efficiently fix nitrogen with
Rose coco bean variety.
6
1.5 Objectives
1.5.1 General objective
To screen for common and highly effective rhizobial isolates for S. sesban and
common beans from sesbania grown in diverse conditions of East Africa and
Namibia for inoculant production.
1.5.2 Specific objectives
i.
To assess the phenotypic and genotypic characteristics of rhizobia isolates
from root nodules of sesbania growing in East Africa and Namibia.
ii.
To assess effectiveness and nitrogen fixation efficiency of sesbania rhizobial
isolates on S. sesban.
iii.
To determine the infectivity and nitrogen fixation potential of sesbania
rhizobial isolates on Rose coco bean variety.
1.6 Significance of the study
Rhizobia differ in the ability to compete, infect and fix nitrogen due to host
compatibility and a myriad of abiotic conditions (Zahran, 2001). Identified rhizobia
isolates from nodules of sesbania growing in East Africa and Namibia from this
study will increase the knowledge of the diversity of rhizobia capable of forming
nodules on S. sesban. Common beans‒S. sesban cross‒inoculating elite strains
identified in the present study will be used for production of a common S. sesbanbeans inoculant instead of separate inoculants, thus reduce inoculant production cost
and their purchase price.
7
A profusely nodulated perennial S. sesban crop following successful inoculation
using a Rose coco–S. sesban elite rhizobial strain will perpetuate soil population of
the strain when beans are off season hence, less need for inoculation of subsequent
bean crop. Successful inoculation of these legumes using the selected elite strain(s)
will lead to less use of nitrogenous fertilizers hence; mitigate eutrophication and
hypoxia of water masses. The discovered rhizobial elite strain(s) for common beans
from the present study will enhance production and hence alleviate the existing
malnutrition.
8
CHAPTER TWO
LITERATURE REVIEW
2.1 Nitrogen reserves in the atmosphere and soil
Nitrogen (N) has globally received enormous attention probably much more than all
other essential elements. It remains a requisite element for all living organisms for
the reason that it determines the synthesis of nucleic acids which are essential for
cellular functioning. Nitrogen represents about 2 % of the total plant dry matter that
enters the food chain (Santi et al., 2013) while Bothe et al. (2007) estimated that all
living organisms have nitrogen content of about 6.25 % dry weight. Naturally,
approximately 1015 tonnes of dinitrogen gas (approximately 78 % N) is present in the
atmosphere (Jordan, 1984) but unavailable to all living organisms. The available
nitrogen reserves in the soil has remained small due to the comparatively large
amounts withdrawn by plants, loss due to erosion, runoffs and leaching of nitrates
(O'Leary et al., 1989).
Nitrogen exists in soils as soluble inorganic ammonium and nitrate compounds;
organic nitrogen (associated with soil humus) and ammonium nitrogen fixed by clay
minerals (Schulten and Schnitzer, 1998). Soluble inorganic ammonium and nitrate
compounds are the only forms readily available to higher plants, but rarely exceed
1‒2 % of the total N present in the soil. Most of the N in the soil is always
metabolically unavailable to the higher plants leading to nitrogen deficiency-caused
symptoms that may include yellowing and dropping of leaves, stunted growth,
delayed flowering and fruiting (Dashora, 2011). The use of chemical nitrogen
fertilizers in nitrogen deficient soils leads to a significant increase in crop yields.
World fertilizer consumption trend has been on a steady increase since the 1960s.
9
For instance, between 2001 and 2009, the use of chemical nitrogenous fertilizers
grew by 13 % (Stewart and Roberts, 2012). Food and Agricultural Organization
(2012) estimated an annual increase of global chemical demand at 2 % between 2012
and 2016 with N fertilizer accounting for up to 60 % of the total costs of nitrogen,
phosphorus and potassium (N+P+K) containing fertilizers. However, because of the
inherent economical and environmental negative implications due to excessive use of
nitrogen‒containing fertilizers (Kanimozhi and Panneerselvam, 2010), efforts have
consistently been made to maximize on biological nitrogen fixation (BNF) (Baddeley
et al., 2013). Soil nitrogen is mainly lost through volatilization and drainage of
solutions into water masses. According to Saikia and Jain (2007) and Erisman et al.
(2008), some of the adverse environmental effects of overreliance on nitrogenous
fertilizers include: (i) depletion of large amounts of fossil fuels, a non‒renewable
energy resources, (ii) eutrophication due to N in surface water, (ii) plant toxicity due
to high levels of NO2 and ammonia (NH4) in soils and (iii) excessive plant growth
due to excess nitrogen availability, depletion of stratospheric ozone due to nitric
oxide (NO) and nitrous oxide (N2O). Consequently, the overreliance on chemical
nitrogen fertilizers is a serious problem for sustainability and can be avoided by
augmented use of BNF.
2.2 Mechanisms of nitrogen fixation
The atmospheric diatomic nitrogen is inert due to its strong triple bond (N≡N) of
energy 930 kJ mol‒1 (Wagner, 2012) and consequently entirely unavailable to all
living organisms. However, the high energy barrier can be broken through three
nitrogen fixation processes. First, the atmospheric fixation which is a result of
lightning that breaks the triple bond and allows oxidation of nitrogen to form
10
nitrogen oxides which in turn dissolve in rain and falls back to earth. Second,
industrial fixation by the Haber‒Bosch, a process in which nitrogen and hydrogen
gases are heated to temperatures of 400‒450 °C and 20 MPa (200 atm) pressure
(Hopkins and Dungait, 2010) to form liquid ammonia used in the manufacture of
commercial chemical fertilizer. Finally, BNF that reduce N2 to NH3 at atmospheric
pressure and environmental temperature through an ATP‒dependent process
mediated by a multimeric enzyme complex, the nitrogenase found only in
prokaryotes (Dighe et al., 2010). The Haber-Bosch process combines nitrogen from
the air with hydrogen derived mainly from natural gas (methane) into ammonia. The
reaction is exothermic, reversible and can be represented by the following equation:
2.2.1 Mechanisms of biological nitrogen fixation
Mobilization of nutrients has been studied for decades, focusing mainly on biological
nitrogen fixation, in particular, on the symbiosis between microbes and higher plants.
Whilst symbiotic nitrogen fixation is currently well known, it is a still mystery to
how long ago the first legumes (family Fabaceae) engaged members of protobacteria.
A biochemical interplay between legumes and rhizobia leads to infection and
organogenesis of nodules on roots or stems of legumes as well as some non‒legumes
(Santi et al., 2013). The nodule forming microbes symbiotically fix atmospheric
dinitrogen to the benefit of the plants and in return the plant supplies organic acids in
particularly malate and succinate, which are produced from sucrose via sucrose
synthase and glycolytic enzymes to rhizobia (Noisangiam et al., 2012). Rhizobia
form nodules on legumes while actinomycetes known as Frankia (genus) cause root
nodules and fix nitrogen on actinorhizal plants (non‒legume) such as Alnus spp.,
11
Comptonia spp., Cassuarina spp. and Elaeagnus spp. (Kumar and Rao, 2012).
Infection by rhizobia and Frankia normally lead to the formation of root nodules
however, a few species for instance, Sesbania rostrata can form stem nodules
especially when grown in submerged environments (Goormachtig et al., 2004).
2.2.1.1 Nodule formation on legumes
Prokaryotes (bacteria or archaea) can fix nitrogen with or without direct association
with eukaryotes (Figueiredo et al., 2013). The nitrogen fixation process is
spontaneously switched on in presence of adequate carbon but limited nitrogen,
resulting to estimated 1.44 x 108 tonnes N year-1 globally (Kumar et al., 2007).
Divergent ideas and theories have attempted to explain the process of nodule
formation and the subsequent nitrogen fixation in legumes. However, all agree to
presence of a number of genes in bacteria that control different aspects of nodulation
process and subsequent BNF. The complex process is orchestrated by a multitude of
bacterial and plant signals (Ferguson et al., 2014) that starts with plant roots
secreting specific cocktail of phenolic molecules, predominantly flavonoids and
isoflavonoids into its rhizosphere. These molecules bind the transcriptional regulator
NodD of compatible rhizobia and concomitantly stimulate a set of bacterial
nodulation genes that lead to the synthesis of a highly specific signal molecule called
Nod factors (lipochitooligosaccharide) which are perceived by legumes via LysM
domain receptor kinases [lysin‒motif (LysM)] present on the root (Mandal et al.,
2010; Black et al., 2012). For instance, host determinants of symbiosis specificity in
soybean are GmNFR1 and GmNFR5 as main Nod factor receptors (Indrasumunar et
al., 2011). Although only a small percent of legumes has been surveyed for
12
nodulation to date, Odee and Sprent (1992) described Acacia brevispica as a nod˗
factor transducer mutant found among a prominently nodulating legume genus. Nod
factor perception triggers a subsequent signaling cascade that is necessary for
appropriate nodule establishment and maintenance. In addition to the nod factors,
many
other
bacterial
lipopolysaccharides,
compounds
K‒antigen
including
exopolysaccharides
polysaccharides,
cyclic
(EPS),
β‒glucan,
high‒molecular‒weight neutral polysaccharides (glucomannan) and gel‒forming
polysaccharides affect different stages of the interaction (Lira et al., 2015).
The attachment on the root hair of nodule forming bacteria possessing the capacity to
synthesize nod factors, initiates root tip curling which culminates in bacteria
entrapment and formation of an infection thread followed by initiation of cortical cell
division (Shtark et al., 2011). Legumes root nodules are either indeterminate or
determinate depending on whether or not the meristem remains active for the entire
life of the nodule respectively (Subramanian, 2013). The indeterminate nodules, as
those formed on roots of pea plants have their cell division first observed in the inner
cortex. Determinate nodules whose cell divisions are first observed in sub‒epidermal
cell layer are found on roots of common beans and sesbania among others legumes
(Ferguson et al., 2010). In contrast to roots, both types of legume nodules have a
peripheral vasculature.
2.2.1.2 The biochemical process of nitrogen fixation
The biochemical process of nitrogen fixation is catalyzed by the complex enzyme
called nitrogenase which is composed of two component proteins (dinitrogenase and
13
dinitrogenase reductase) encoded by the family nif genes and whose presence is
characterized by pink coloration of the nodule tissues. The universal reaction
N2+8H++8e-+16ATP
2NH3+H2+16ADP+16Pi), requires hydrogen as well as
energy in form of ATP to progress. Leghemoglobin maintains a high oxygen flux,
but at a concentration of approximately 104 to 105 times lower than in aerobic
cultures to avoid inactivation of oxygen‒labile nitrogenase (Hunt and Layzell, 1993;
Boyd and Peters, 2013). Excesses of oxygen hinder the transcription of the gene
nifHDK or activity of the functional protein in aerobes but never a problem of
anaerobic bacteria.
2.3 Legume–rhizobia symbiotic promiscuity
Legumes and rhizobia have the ability to select their symbionts alike. This is
achieved through the complex chemical signalling pathways that determine
symbiosis specificity between rhizobia and the host plants (Angus and Hirsch, 2010).
The ability to form nodules on roots or stems of more than one host rely on the
promiscuity either of the legumes, or their rhizobia, or both (Peix et al., 2015). Some
rhizobial strains have ability to nodulate individual or an extremely limited number
of host species while promiscuous types can form nodules with a wide range of hosts
across subfamilies. In the same way, some legume species are extremely restrictive
and tolerate only a very narrow range of rhizobia whereas others are promiscuous
and are nodulated by a wide range of rhizobia. Perret et al. (2000) and Lira et al.
(2015) suggested that the rhizobia of herbaceous host species can nodulate more host
plant species than those of woody legumes and tropical legumes are typically more
promiscuous than temperate legumes respectively.
14
2.4 The degree of specificity and nitrogen fixation effectiveness between legumes
and rhizobia
Rhizobia represent great diversity between the genera with some closely related to
non‒nodulating bacteria such as Agrobaterium or Brucella compared to each other
(Sprent, 2001; Maróti and Kondorosi, 2014). The common feature is their ability to
form nodules on legumes but not on all. The disparity in the ability to form nodules
and fix nitrogen among rhizobia is due to the difference in their genome (Okazaki et
al., 2010) and it is termed as host specificity (Györgypal et al., 1988). According to
Wang et al. (2012), host specificity can occur during bacterial infection and nodule
development as well as at the nitrogen fixation stage. Rhizobia whose nod genes are
not transcribed (nod-) initiate no nodules on their legume hosts. Similarly, legume
mutants with no nod factor transducing mechanisms fail to form nodules even in
presence of rich rhizobial diversity.
High degree of specificity between legumes and rhizobia has been described. For
example, although the Nod factors produced by Rhizobium etli and Rhizobium loti
are indistinguishable, the two species have distinct host ranges. Phaseolus spp. is
restricted to Rhizobium etli while Lotus spp. forms symbiosis exclusively with
Rhizobium loti (Cárdenas et al., 1995). Additionally, two Rhizobium strains that form
nodules on one plant species may secrete different Nod factors. Rhizobium tropici
and R. etli produce sulfated and acetylfucosylated Nod factors, respectively, yet both
effectively form nodules on Proteus vulgaris (Mus et al., 2016). On the other hand,
Bradyrhizobium japonicum, B. elkanii, Sinorhizobium fredii (strain USDA257) and
Rhizobium sp. (strain NGR234) have a number of common hosts, but their Nod
factors vary considerably (Perret et al., 2000).
15
Nitrogen fixation efficiency always varies with different host‒rhizobial combinations
(Schumpp and Deakin, 2010). Rhizobia that offer insignificant benefits to their hosts
are common in nature (El‒Maksoud and Keyser, 2010). In such scenarios the
microsymbionts have been referred to as parasites (Denison and Kiers, 2004) or
cheats (Kiers et al., 2003). Several symbiotic phenotypes exist and can be manifested
by mutants as: the nodule deficient mutants impaired in the first steps of infection
(nod˗); the bacterial mutants which induce nodules that present an early nodule
senescence phenotype with blocked process of bacteroid differentiation (nod+ fix˗);
fully differentiated but unable to reduce nitrogen to ammonium (nod+fix˗);
differentiated into bacteroids less efficient in nitrogen fixation compared to the
wild‒type strain (nod+ fix+/˗) (Maunoury et al., 2010; Liu et al., 2011; Saeki, 2011;
Melino et al., 2012). Whilst, certain rhizobial strains can infect a host genotype and
remain ineffective within the symbiosomes (nod+fix˗), the same strains can establish
an effective interaction (nod+fix+) with other alternative host genotypes (Simsek et
al., 2007). A perfect match between host and the microsymbiont result in effective
nodules that have a red pigmentation on cross‒sections, signifying presence of
leghemoglobin. Conversely, many isolates are known to produce ineffective nodules
that border more on parasitism than symbiosis. Such ineffective rhizobia produce
nodules that are greyish green or whitish on cross‒sections (Pommeresche and
Hansen, 2017).
Although symbiosis between rhizobia and legumes is a precise match, in some cases
a certain level of mismatching is tolerated. A majority of rhizobia that form nodules
on roots of wild legumes growing in most soils are diverse, most of which are
promiscuous and a few with selective and specificity characteristics (Zahran, 2001).
16
Matching systems for many important legumes have been studied and categorized
into cross‒inoculation groups, each of which consists of all the species that develop
nodules when inoculated with rhizobia obtained from any one of them (Gaur and
Sen, 1979). Although the cross‒inoculation matching system is used mostly as a
guide for farmers, it can also be used for selecting the suitable rhizobial inoculant
strain for the desired legume host(s). For instance, Syed et al. (2010) attempted to
examine the host range of rhizobia isolated from nodules of Tephrosia purpurea,
Crotolaria medicaginea, Leucaena leucocephala and Sesbania sesban in other
legumes grown in Ajmer and Bikaner regions of Rajasthan. In this work, it was
concluded that S. sesban was more specific with its rhizobia being compatible with
few species outside the genus Sesbania. The only known way of testing for nitrogen
fixation ability of a rhizobial isolate is when the host plant partners successfully
forms nodules on the roots (infective) due to the inoculants (biofertilizers) with an
ultimate alleviation of nitrogen deficiency symptoms (effective) of the host
(Somasegaran and Hoben, 1994).
2.5 Sesbania sesban and legume nodulating bacteria
Sesbania sesban is a fast growing tree species (Evans and Macklin, 1990) that has
the ability to associate and fix atmospheric nitrogen in presence of its compatible
rhizobia and nodulates most effectively with homologous strains (Turk and Keyser,
1992; Bala et al., 2001). However, many soils are devoid of rhizobia that are
compatible with S. sesban. For example, S. sesban growing in some soil of South
African failed to nodulate due to the absence of effective native rhizobia (Bala et al.,
2002). Makatiani and Odee (2007) emphasized the need to determine the symbiotic
status of sesbania whenever they are cultivated for the first time in order to make
17
appropriate decisions on whether to inoculate or not, which requires proper selection
of actively fixing strains for inoculants production. Whereas common bean forms
nodules with only members of Rhizobium spp., the genus Sesbania can form root or
stem nodules with Azorhizobium (Goncalves and Moreira, 2004; Lee et al., 2008),
Ensifer spp. syn. Sinorhizobium (Sharma et al., 2005), Mesorhizobium (McInroy et
al., 1999; Odee et al., 2002) and Rhizobium spp. (Bala et al., 2002; Vinuesa et al.,
2005) but their nitrogen fixation effectiveness remain largely unknown. Other reports
from tropical Africa, Asia, Puerto Rico, Central and South America indicate that
sesbania can be nodulated effectively by Bradyrhizobium sp. (Doignon‒Bourcier et
al., 2000), Rhizobium huautlense (Wang et al., 1998), R. gallicum and R. tropici
(Zurdo-Piñeiro et al., 2004), Sinorhizobium saheli and S. terangae (Lorquin et al.,
1997), Azorhizobium caulinodans (Dreyfus et al., 1988), Mesorhizobium sp. and M.
plurifarium (Wang and Martinez‒Romero, 2000; Wang et al., 2003). Bala et al.
(2002) and Odee et al. (2002) reported frequent recovery of strains closely related to
the genus Agrobacterium from sesbania nodules.
2.6 Common beans
2.6.1 Origin and distribution of common beans
The common beans (Phaseolus vulgaris) has the Mesoamerican and the Andean as
the two main centres of origin but are now widely distributed on many continents
such as Asia, Europe and Africa (Becerra et al., 2011). It is the best known species of
the genus Phaseolus in the family Fabaceae of about fifty plant species, all native to
America (Romero-Arenas et al., 2013). Although the pulse was introduced to Africa
approximately five centuries ago (Evans, 1976), common beans development to
18
increase on its yield through selection of genotypes suitable for diverse
environmental conditions and their microsymbionts, is still under way.
2.6.2 Uses of common beans
The common bean is a source of high concentration protein complex (cheap
substitute for meat globally), carbohydrates, fiber, prebiotic, vitamin B, and
chemically diverse micronutrient composition recommended for human consumption
(Câmara et al., 2013). Besides providing income for rural smallholder families in
Kenya, common bean is also a popular food to both the urban and rural population.
In Africa, bean products are consumed at different stages of plant development
hence, offering a prolonged and spread out food supply in the form of leaves, green
pods, fresh grain, as well as dry grains. The common bean containing food is
distributed in many forms including unprocessed seeds, canned products and as part
of mixes. The pulse matures rapidly (Koskey et al., 2017) and serves as a key
component in intensifying production through intercropping systems. Its ability to
form symbiosis and fix nitrogen with rhizobia provides a long term solution for soil
fertility improvement.
2.6.3 Common beans production and its limitations
The world largest producer of common bean is Brazil with an estimated 3.3 million
tons produced in 2016 (FAO, 2017). Although the common bean production in
Kenya remained stable in 2014, 2015 and 2016 at 622.8, 714.4 and 616.0 kilo-tonnes
respectively (FAO, 2017), its production is still way far below the expected yields
due to the ever increasing population. The major limitation to common bean
production in many smallholder farms is the declining soil fertility as a result of
19
continuous cropping with minimal inputs or rotation to replenish soil nutrients
(Mungai and Karubiu, 2011). Other factors that influence bean production include
seed density, chemical toxicities, pests and diseases, weeds, extreme environmental
conditions among others (Beebe et al., 2013; Buruchara et al., 2011; Porch et al.,
2013). For instance, in 2011 there was a net bean deficit in Kenya of 51.7 kilo-tonnes
(FAO, 2013). In Kenya bean crop is mainly cultivated in rotation with maize and
grows in diverse soil condition including low nitrogen and phosphorus, low pH, high
salinity and low moisture (Maingi et al., 2001; Massawe et al., 2016).
2.6.4 Biology of common beans
Common beans grow twining or sub‒erect and have numerous varieties which can be
described in many shapes, sizes and colours. For example, kidney beans, lima beans,
pinto beans, navy beans, green beans, wax beans and butter beans are just but a few
of the many types found in the Americas (Gepts, 2014). Likewise, there also exists a
number of Phaseolus spp. in Kenya each with a number of cultivars. Phaseolus
vulgaris is the most dominant of all with over 100 cultivars grown in the country and
its most common varieties include the Nyayo, Amini, Rose coco, Nyayo short,
Kakunzu, Mwezi moja, Mwitemania, Wairimu, Kitui, Kitui small, Kayellow, Ikoso
and Kamwithiokya which grow in the different eco‒climatic zones of Kenya
(Ramaekers et al., 2013). Apart from seed colour and size, the varieties are
differentiated by the growth habit (determinate and indeterminate), seed shape and
days to maturity.
20
2.6.5 Symbiosis of common beans with rhizobia
The common bean is known to form nodules with several Rhizobium species but the
effectiveness of these strains under most field conditions is low (Dall’Agnol et al.,
2013; Ribeiro et al., 2013). According to Hardarson et al. (1993), different varieties
of common beans vary in their capacity to fix atmospheric nitrogen. Although
common bean is generally considered more responsive than other legumes to
nitrogen fertilization, it has been reported as a less nitrogen fixer than other crop
legumes (Graham, 1981). Common bean is considered a promiscuous host that form
nodules with Bradyrhizobium sp. (Han et al., 2005), Sinorhizobium meliloti (ZurdoPiñeiro et al., 2009), S. americanum (Mnasri et al., 2012), Rhizobium
mesoamericanum (Lopez‒Lopez et al., 2012), R. freirei (Dall'Agnol et al., 2013), R.
etli, R. tropici, R. leguminosarum bv. phaseoli, R. gallicum, R. giardinii, R.
lusitanum, R. phaseoli, R. azibense (Mnasri et al., 2014) all in alpha‒proteobacteria
and Burkholderia phymatum (Gyaneshwar et al., 2011) in class beta‒proteobacteria
found in diverse soil ecosystems of the world. Although, R. tropici was originally
isolated from host in native bean growing areas, it has been reported to associate with
other legumes growing where the common bean is not native (Grange et al., 2007).
2.7 Characterization and identification of rhizobia
Preliminary identification of cultivable microbes often involves morphological and
physiological characteristics (Somasegaran and Hoben, 1994), which is attainable
through microbial isolation, culturing and later visualized by observation using
microscopes. Typing of microbes into their respective biotypes, serotypes,
bacteriocin and phage groups remain also crucial during identification of microbes
residing in animals, plants and soil. Data is derived from well‒established and
21
observable growth parameters, physiological and biochemical profiles. The
physiological tests used for identification of microbes include fermentation of
various carbohydrates, growth on carbon and nitrogen sources, determination of
vitamin requirements, growth at various temperatures, growth on media containing
various levels of sugar and sodium chloride, ability to hydrolyze urea and resistance
to antibiotics (Fakruddin and Mannan, 2013).
Accuracy and speed of microbial characterization and identification have increased
with the advent of molecular biology techniques. The genotypic techniques involved
in identification of microbes include restriction digestion and PCR amplification or
hybridization, all of which employ DNA bands visualization (Auch et al., 2010),
multilocus sequence analysis (MLSA) of different protein‒coding housekeeping
genes and whole‒genome sequence analysis (Berrada and Fikri‒Benbrahim, 2014).
These molecular tools are now used for investigating the diversity and structure of
microbial communities including the uncultivable (Hill et al., 2000).
2.7.1 Methods for rhizobial identification
2.7.1.1 Phenotypic identification
Phenotypic identification methods comprise the study of the morphology and
biochemical reactions by bacteria whose properties can be observed after incubation
of the cultures grown on solid media for a definite time. Morphological
characteristics include colony characteristics such as size, shape, pigmentation,
elevation, opacity, margin, surface texture and consistency. The biochemical tests
use specific growth media, nutrients, chemicals or growth conditions to elicit visible
characteristics. Some simple tests like the Gram's reaction, acid-fast reaction,
22
motility, arrangement of flagella, presence of spores, capsules and inclusion bodies
aid in identification of the organism. However, phenotypic characteristics like
isoenzyme profile, antibiotic susceptibility profile and chromatographic analysis of
cellular fatty acids are sensitive enough for strain characterization. Although vital in
the preliminary classification of microbes, Petti et al. (2005) noted that phenotypic
traits are always not static hence, can change with stress or evolution.
2.7.1.2 Molecular techniques used in rhizobial identification
Development of molecular techniques which complement the analysis of morphocultural traits has enhanced the ability to rapidly detect, identify and classify
microbes. Moreover, these techniques have also been used to establish the taxonomic
relationship among closely related genera and species (Mishra et al., 2016).
Identification using molecular methods relies on the comparison of the nucleic acid
(RNA and DNA) sequences or protein profiles of a microorganism with documented
data on known organisms. The molecular methods are considered sensitive enough to
allow detection of low concentrations of viable or non‒viable microbes in both pure
cultures and complex samples as in soils and water. These include methods such as
DNA re-association, DNA–DNA and mRNA-DNA hybridization, DNA cloning and
sequencing and other PCR-based methods such as 16S rRNA, comparisons of
restriction fragment length polymorphisms (RFLP), amplified fragment length
polymorphisms (AFLP) or G+C % content in the genomic DNA with corresponding
data on known species or strains (Vinay et al., 2013). Other molecular currently used
to delineate in situ microbes include denaturing gradient gel electrophoresis (DGGE)
temperature gradient gel electrophoresis (TGGE) (Smalla et al., 2007), ribosomal
23
intergenic spacer analysis (RISA) and automated ribosomal intergenic spacer
analysis (ARISA) (Fakruddin and Mannan 2013; Namkeleja et al., 2016).
After elucidation of double helical structure of DNA by Watson and Crick, the quest
to detect its sequences from many organisms including human and microbial
genomes pioneered the discovery of molecular methods such as Maxam and
Gilbert’s technique (Maxam and Gilbert, 1977) and Sanger sequencing (Sanger and
Coulson, 1975). As with many technologies, genomics has evolved at a remarkable
pace leading to creation of dozens of next-generation sequencing companies,
technologies and the corresponding field of bioinformatics. For instance, in the midto-late 1990s, microarrays were developed as highly parallel assays to measure RNA
and DNA offering the first genome-scale parallel analysis of the nucleic acids
(Heather and Chain, 2016). Second- and third-generation sequencing techniques
emerged and have enabled unbiased means to scrutinize trillions of templates of
DNA and RNA in a single instrument run. Coupled to current, high-performance
computing and a host of bioinformatics tools that have been developed to analyze the
data, whole genome sequences from an individual organism are generated (JimenezLopez et al., 2013). Collectively these technologies are referred to as next-generation
sequencing (NGS) and share several characteristics including massive parallelization
of chemical sequencing reactions, micro- to nano-scale reaction volumes.
Additionally, there is immense amount of computational power to capture the raw
data and process to formats interpretable by analysis software running on external
computers (Levy and Myers, 2016). The NGS has opened new frontiers of genomics
research which include clinical applications (Rizzo and Buck, 2012) and
identification of soil and plant microbial communities (Lakshmanan et al., 2014).
24
2.7.2 Morphological and molecular characterization of rhizobia
Distribution and diversity of rhizobia within tropical soils vary as their hosts and also
with the ever changing diverse eco‒climatic conditions of their natural habitats
(Odee et al., 1997; Hungria and Vargas, 2000). The diversity among nodulating
bacteria may be due to the dynamic structure of bacterial genomes. For example, the
organization of symbiotic genes within easily transmissible symbiosis islands or
plasmids can permit the conversion of non‒symbiotic bacteria into nitrogen‒fixing
plant endosymbionts in a single step (Marchetti et al., 2010). The host compatibility
spectrum, cultural methods (media, morphology, antibiotic and other biochemical
tests), serological methods, bacteriophage typing, molecular biology methods
(nucleic acid hybridization and PCR-based techniques) and genomic sequencing
have been used as criteria to consider during the study of rhizobia (Jia et al., 2015).
The morphological properties include: size, shape, cell wall characteristics (Gram
staining), surface characteristics and pigmentation, sporulation characteristics,
mechanisms of motility, and other cellular inclusions and ultra‒structural
characteristics (Somasegaran and Hoben, 1994).
The recent advancement in molecular techniques have have been used to reorganized
some genera and describe many other new genera and species of bacteria associated
with tropical legumes (Odee et al., 2002; Menna et al., 2006; Toolarood et al., 2012;
Hassen et al., 2014). These molecular techniques are highly versatile and have better
resolution over the traditional cultural methods which they complement (Pierre and
Didier, 2002; Capote et al., 2012; Marinkovic et al., 2013). They have led to
phylogeny inferences that include 16S rRNA PCR‒RFLP analysis (Oger et al., 1998;
Romdhane et al., 2005), 16S rRNA sequencing, RAPD (El‒Fiki, 2006), DNA‒DNA
25
hybridization (Murray et al., 2001; Auch et al., 2010), multilocus sequence analysis
of different protein‒coding housekeeping genes and whole‒genome sequence
analysis (Berrada and Fikri‒Benbrahim, 2014).
2.7.2.1 The bacterial 16S rRNA gene
The rRNA genes play a great role in the protein synthesis and are therefore essential
for the survival of all organisms. Among the rRNA genes is the 16S (small subunit)
rRNA gene which is 1500 bp long with ten well conserved and ten divergent regions
(Clarridge, 2004). However, cases of abnormally large 16S rRNA gene (larger than
1500 bp) have been documented and attributed to foreign DNA sequences, usually
called intervening sequences (IVS) with about 140 bp long (Linton et al., 1994). For
instance, Laguerre et al. (1994) found two strains, CFN299 and C‒05‒35 (both
Rhizobium tropici type II) that produced a single band of 1600 bp when 16S rRNA
was amplified which was attributed to insertion of 72 bp nucleotides. Constant
mutation of the divergent regions of the 16S rRNA gene occurs at a rate of about 1 %
every 50 years. Insertion or deletion of bases result in polymorphism of rRNA gene
sequences and has been used in phylogenetic detection for more than two decades
now (Moreira et al., 1998).
The taxonomy of Rhizobiaceae like many other bacteria has undergone significant
changes with more importance put on genotypic rather than phenotypic methods for
the identification of strains to their species level (Babalola, 2003). This has resulted
in a change in the number of recognized species of rhizobia and the reorganization of
the family. These genotypic methods rely on the conserved nature of rRNA such that
isolates from the same species maintain the same sequence, whereas the more
26
phylogenetically diverse the species is, the greater the divergence in the sequences of
their rRNA. More over, although the 16S rRNA is sufficiently conserved and
contains conserved regions, it also contains variable and hypervariable sequences
(Spratt, 2004).
2.7.2.2 PCR‒RLFP of bacterial 16S rRNA
Bacterial strains identification has widely been carried out using PCR‒RLFP of 16S
rRNA, a technique which is currently regarded as quick and versatile
(Wolde‒Meskel et al., 2005). The PCR‒RLFP procedures involve isolation of DNA,
amplification of desired DNA sequence using primers that specifically target and
amplify a region of desired genes of bacteria, digestion of the DNA with restriction
endonucleases and size fractionation of the resultant DNA fragments by
electrophoresis (Vinay et al., 2013). This method has extensively been used to assign
bacterial collection to their likelihood phylogenetic groups. For instance, Manceau
and Horvais (1997) used RFLP of rRNA operons to assess phylogenetic diversity
among strains of Pseudomonas syringae pv. Tomato successfully established the
close relationships existing between P. syringae and P. viridiflava. The PCR‒RFLP
of 16S rRNA gene has been used broadly in assessment of phylogenetic diversity
among strains of rhizobia (Mwenda et al., 2011; Mnasri et al., 2012).
2.8 Characteristics and current classification of rhizobia
Rhizobia are non‒spore forming, aerobic, heterotrophic and motile bacteria (Sheu et
al., 2016). They are Gram negative microscopic rods and defined as nitrogen fixing
bacteria (diazotroph) capable of forming root or stem nodules on legumes (Mia and
Shamsuddin, 2010). The family Rhizobiaceae of order Rhizobiales in classes alpha‒
27
and beta‒ protobacteria have generally been called rhizobia (from rhiza‒bios; which
live in a root). These Legume Nodulating Bacteria (LNB), to avoid confusion
between the general term of Rhizobium and the genus name, grow as soil free‒living
organisms, but can also induce and colonize root nodules in legume plants resulting
in symbiotic relationships that benefits both organisms (Zakhia et al., 2004). Ever
since Beijerinck isolated the first Rhizobium culture which he named Bacillus
radicicola, later changed to Rhizobium leguminosarum by Frank in 1889 and
assigned to the genus Rhizobium (Young et al., 2001; Willems, 2006), more than 113
species belonging to 11 genera within the Proteobacteria classes had been described
by 2013 using phenotypic features and molecular tools. The genera and species under
α‒Proteobacteria include: Rhizobium (43), Bradyrhizobium (15) Azorhizobium (3),
Mesorhizobium (29) Ensifer/Sinorhizobium (13) Neorhizobium, Devosia (1)
Methylobacterium (1) Ochrobacterium (2), Phyllobacterium (1) Shinella (1). Nine
other species have been classified under β‒Proteobacteria and they include
Burkholderia
(6),
Herbaspirillum
(1)
(http://edzna.ccg.unam.mx/rhizobialtaxonomy/node/4,
and
Cupriavidus
(2)
http://www.bacterio.cict.fr/
and http://www.rhizobia.co.nz/taxonomy/rhizobia). Recently, the γ‒Proteobacteria
was also suggested and has been assigned the genera Xanthomonas and
Pseudomonas (Berrada and Fikri‒Benbrahim, 2014). Unlike other members of
Rhizobiaceae, the genus Agrobacterium is mainly soil‒inhabiting. However, some
Agrobacterium strains possessing symbiotic plasmid as a result of horizontal or
vertical transfer have ability to cause nodules on roots of legume plants (Cummings
et al., 2009; Zhao et al., 2014).
28
CHAPTER THREE
MATERIALS AND METHODS
3.1 Study site
Controlled experiments were carried out in the laboratory and glasshouses located at
the KEFRI, Muguga, Nairobi, Kenya which is globally positioned at 1°15'34.29'' S
36°37'36.05'' E and 1267 metres above sea level.
3.2 Source of nodules
Nodules of varying sizes were randomely collected from roots of sesbania that were
grown in diverse conditions of Namibia, Kenya, Uganda and Tanzania (Table 3.1).
All the sites of nodule collection had no known previous sesbania inoculation using
rhizobia. Nodules of Sesbania sesban, S. pachycarpa, S. sphaerosperma, S.
microphylla, S. rostrata, S. macowaniana and S. bispinosa were collected by Dr.
Herta Kolberg in Namibia, desiccated over unhydrous silica gel contained in
air‒tight capped plastic bottles and transported to KEFRI. Nodules of S. sesban
grown in East Africa were collected by the author of this thesis. The nodules were
desiccated over silica gel contained in air‒tight capped plastic bottles before they
were transported to KEFRI.
29
Table 3.1: Origin of sesbania nodules used in this study
Country
Origin
Latitude / Longitude
Sesbania
Isolates
Kenya
Bumala (Busia)
00° 18' 9.1'' N 34° 12' 23.1'' E
S. sesban
MASS120‒128; 156‒178.
Kuinet (Eldoret)
00° 36' 7.8'' N 35° 18' 28.0'' E
"
MASS169‒175.
Kavutiri (Embu)
00° 25' 0.04'' S 37° 30' 06.2'' E
"
MASS129‒155.
Gituamba (Murang'a)
00° 52' 45.7'' S 36° 54' 21.5'' E
"
MASS110‒117.
SUA (Morogoro)
06° 56' 8.3'' S 37° 06' 3.6'' E
"
MASS41‒46.
Lushoto
04° 07' 09'' S 38° 26' 56.6'' E
"
MASS29‒40.
Tororo
00° 63' 6.8'' S 37° 19' 9.36'' E
"
MASS47‒53.
Mbale
01° 06' 6.6'' S 34° 17' 7.9'' E
"
MASS54‒61.
Kabale
01° 25' 12'' S 29° 53' 6.2'' E
"
MASS62‒69.
Okahandja
21° 39' 35.5'' S 16° 52' 22'' E
S. macowaniana
MN1, MN15.
Khorixas‒Outijo
20° 30' 43'' S 14° 57' 24.7''E
"
MN5, MN24, MN25, MN26, MN27, MN39.
Swakop
22° 38' 23'' S 14° 44' 35'' E
S. pachycarpa
MN9, MN44, MN49, MN51.
Rio Tinto Gorge
22° 27' 12.4'' S 15° 07' 24.8'' E
"
MN16, MN36, MN43, MN45, MN46, MN47, MN48, MN50,
MN4, MN53, MN54, MN55, MN56, MN58, MN59, MN60,
MN61, MN62.
Epupa falls
16° 59' 39'' S 13° 17' 28'' E
S. sesban
MN7, MN8, MN13, MN18, MN19, MN21, MN22, MN23,
MN30, MN35, MN38, MN57.
Otjinungua
17° 49' 54'' S 12° 31' 20'' E
"
MN67, MN68.
Suclabo
18° 07' 32.4'' S 21° 35' 51'' E
S. cinerascens
MN20, MN28, MN31, MN32, MN37, MN40.
Omuramba
18° 05' 42'' S 20° 23' 36'' E
S. bispinosa
MN11, MN17, MN33, MN34.
Bunya
17° 51' 29'' S 19° 21' 49'' E
S. microphylla
MN69, MN70.
Rooidrom
17° 49' 53'' S 12° 31' 22'' E
S. sphaerosperma
MN2, MN10.
Sesfontein
19° 02' 37'' S 13° 45' 09'' E
"
MN12, MN41, MN71.
Korokoko
17° 59' 14'' S 20° 57' 06'' E
S. rostrata
MN50.
Tanzania
Uganda
Namibia
30
3.3 Media for culturing of rhizobia
Yeast Extract Mannitol broth (YEMB) or Yeast Extract Mannitol agar (YEMA) was
used as an artificial media for culturing of the rhizobia recovered from root nodules.
The recipe for YEMB included 10.0 g mannitol; 0.50 g di‒Potassium orthophosphate
(K2HPO4); 0.20 g magnesium sulphate (MgSO4.7H2O); 0.10 g sodium chloride
(NaCl); 0.50 g yeast extract and distilled water (1.0 litre) while YEMA contained
YEMB and agar (16.0 g) as described in Somasegaran and Hoben (1994). The pH of
YEMB was adjusted to 6.8 and sterilized or before addition of agar when YEMA
was desired. The media was sterilized at a temperature of 121 °C and a pressure of
approximately 15 pounds per square inch for 15 minutes using an autoclave. YEMA
containing 0.00125 mg kg‒1 Congo red (Diphenyldiazo‒α‒naphthylaminesulfonate)
dye (YEMA‒CR) was used as differential media while acid reaction of isolates was
determined on YEMA containing 0.00125 mg kg‒1 bromothymol blue (BTB) as
indicator.
3.4 Isolation, purification and preservation of root nodule bacterial isolates
The dry nodules preserved over silica gel were immersed in tap water contained in a
petri dish for two hours to imbibe. Thereafter, isolation procedure was carried out
according to Somasegaran and Hoben (1994) with minor modifications at the nodule
sterilization step where acid was omitted and nodules were immersed for 60 seconds
in 3.5 % sodium hypochlorite instead. Each of the nodules in which the rhizobia was
isolated was then immersed in 95 % (v/v) ethanol for 10 seconds to break the surface
tension and was followed by an immersion in 2 % (v/v) sodium hypochlorite
(NaOCl) for two minutes to decontaminate the surface. The nodules were
successively rinsed in five changes of sterile distilled water before being transferred
31
into a drop (approximately 100 µL) of sterile distilled water contained in a petri dish
using a pair of sterile forceps. The nodules were squashed using a sterile blunt glass
rod to release bacteroids and or bacteria. A sterile tungsten inoculating loop was used
to lift a loopful of the nodule suspension and was streaked on YEMA media. The
streaking was performed in a dilution manner to yield isolated colonies on the final
streak‒line. Inoculated plates were incubated in an inverted position in the dark at a
temperature of 28±1 °C and monitored daily to observe colony emergence.
Whenever more than one type of colony appeared growing on media from a single
nodule, they were re‒streaked on fresh YEMA media and considered as separate
rhizobia isolates. A culture from each nodule was assigned MASS or MN and a
numeral for East African or Namibian nodules respectively. However, in the case of
dual or multiple nodule occupants these labels were followed by a consecutive lower
case letters respectively (for example, MASS133a and MASS133b). Cultures from
single nodules but stored as mixed forms were asigned a similar labels followed by
respective lower case letters (for example, MASS133ab). Pure isolates were
preserved in 16 % (v/v) glycerol‒YEMB contained in well labeled autoclavable
plastic vials at a temperature of ˗70 °C.
3.5 Phenotypic characteristics of sesbania rhizobia
During culturing, rhizobia isolates were characterized by their morphological traits as
cell (Gram stain), colony (absorption of Congo red, form, elevation, margin,
appearance, optical property, pigmentation, texture),
mucous (extracellular
polysaccharides) production and pH reaction on YEMA as described by Mpepereki
et al. (1997) and Odee et al. (1997). All these traits were recorded and used to group
rhizobia into their respective morphotypes.
32
3.5.1 Determination of rhizobial growth rate and colony characteristics
Yeast extract Mannitol Agar containing 25 mg L‒1 (w/v) Congo red dye
(YEMA‒CR) was used as differential media for identification of typical rhizobia
from other soil inhabiting bacteria (Somasegaran and Hoben, 1994). Morphological
characteristics of the colonies were recorded as diameter, inability to absorb Congo
red dye, form, elevation, margin, appearance, optical properties, pigmentation,
texture and mucous (extracellular polysaccharides) production on YEMA.
3.5.2 YEMA‒BTB medium colour change by sesbania rhizobial isolates
Rhizobial isolates were inoculated on YEMA media supplemented with 0.00125 mg
kg‒1 bromothymol blue (BTB) as a pH reaction indicator. Three- to seven-day old
cultures were observed for their ability to change colour of YEMA‒BTB medium at
pH 6.8 (green) to yellow, blue or retain the green colour (Somasegaran and Hoben,
1994). The observed colour of YEMA‒BTB media after three -seven days was
recorded.
3.5.3 Gram staining
Gram staining was performed according to the method by Somasegaran and Hoben
(1994). A loopful of actively growing rhizobia in liquid culture was transferred to the
surface of a clean glass slide and spread over a small area. The culture film was air
dried then fixed by passing the slide five times over a bunsen burner flame without
exposing the dried film directly to the flame. The slide was flooded with crystal
violet solution for one minute then washed off for 5 seconds using gently running tap
water. The water was drained by by holding the slide in a vertical position before
flooding the slide with Gram's iodine solution and allowed to act (as a mordant) for
33
one minute. The Gram's iodine solution was washed off using tap water. Excess
water was drained from the slide by by holding the slide in a vertical position and
blotted dry using a blotting paper. The slide was flooded with 95 % (v/v) alcohol for
10 seconds and washed off using tap water. The water was drained by holding the
slide in a vertical position before the slide was flooded with safranin solution and
allowed to counter stain for 30 seconds. The slide was washed in running tap water,
drained and allowed to air‒dry before bacterial examination using a total
magnification of x600 on Olympus microscope (model: 1X2‒ILL100 T5SN). The
documentation system interphased to the microscope was then used to photograph
the images.
3.6 Determination of genotype composition of sesbania rhizobia using
PCR‒RFLP
In this study, the number of sesbania isolates was reduced from 129 to 79 through
selection of representative isolate(s). The selection was aided by dendrogram clusters
obtained using UPGMA method based on combined similarity matrix of data from
the diverse growth characteristics of rhizobia on YEMA media, intrinsic antibiotic
resistance (IAR) and salt tolerance (NaCl). The 79 sesbania isolates were later
subjected to fingerprinting assays using PCR‒RFLP of the 16S rDNA in comparison
with 17 reference strains.
3.6.1 Intrinsic antibiotic resistance assay
Resistance to antibiotics was evaluated by inoculating each rhizobial isolate on
YEMA media supplemented with antibiotics. The isolates were tested for their
34
ability to resist two concentration levels [50 mg L‒1 and 100 mg L‒1 (w/v)] of each of
the 12 different antibiotics.
3.6.1.1 Preparation of YEMA‒antibiotics media
Yeast extract mannitol agar media supplemented with 12 antibiotics were prepared as
described by Odee et al. (1997). Stock solutions of the following antibiotics were
prepared separately: spectinomycin dihydrochloride (C14H24N2O7.2HCl), tetracycline
(C22H24N2O8), penicillin‒G sodium salt (C16H17N2O4SNa), novobiocin sodium salt
(C31H35N2O11Na),
kasugamycin
hydrochloride
(C14H25N3O9.HCl),
neomycin
sulphate (C23H46N6O13.3H2SO4), streptomycin sulphate (C21H39N7O12)2.3H2SO4),
erythromycin (C37H67NO13), rifampicin (C43H58N4O12), kanamycin mono sulphate
(C18H36N4O11.H2SO4), ampicillin (C16H19N3O4S) and carbanicillin. All antibiotic
stock solutions were prepared by dissolving 125 g of each antibiotic in 25 mL
distilled water except erythromycin which was dissolved in 25 mL of 99 % ethanol
due to its low solubility in water as compared to ethanol according to the method of
Manna et al. (2004). Each of the stock solutions was then filter‒sterilized using 0.45
µM millipore (Whatman cellulose nitrate membrane filter). Meanwhile, YEMA was
prepared in aliquots of 500 mL, sterilized and allowed to cool to approximately 50
°C before addition of the sterile antibiotics to make either 50 mg L‒1 or 100 mg L‒1 of
each of the antibiotics. The media was swirled clockwise and anticlockwise to
uniformly disperse the antibiotics then poured in sterile plastic petri dishes under
aseptic conditions and allowed to set.
35
3.6.1.2 Rhizobial culturing for intrinsic antibiotics resistance assay
A loopful of rhizobial culture growing on YEMA media was inoculated in a 10 mL
YEMB and vigorously shaken to disperse the cells introduced in the media. The
inoculated broth was placed on a horizontal orbital incubator shaker (Model:
Tour‒120‒2) and aerated at 100 rpm, at a temperature of 28±1 °C for three and seven
days for fast and slow growing types respectively. Zero point two mililitres (0.2 mL)
of the broth culture was transferred to 10 mL of YEMB and allowed to grow for
three and seven days for fast and slow growing rhizobia respectively.
3.6.1.3 Inoculation of rhizobial cultures on YEMA‒antibiotics media
Rhizobia grown to turbid were aseptically transferred onto sterile wells. The well
containing 0.5 mL of broth and a plate with YEMA containing antibiotics were put in
the respective positions on a Denly multipoint inoculator. Multipoint inoculator pins
were then lowered to pick the cultures and transfer to YEMA media supplemented
with twelve antibiotics at two concentration levels of 50 mg L‒1 and 100 mg L‒1.
Three replicates per level of each antibiotics were allowed for each tested isolate.
Inoculated media was incubated in the dark at a temperature of 28 ±1 °C. After 4
days of incubation growth of rhizobia was recorded in an excel spreadsheet as
growth present (1) or no growth (0). During scoring, growth of rhizobial cultures on
YEMA‒antibiotics media was compared to those grown on control media (YEMA
with no antibiotics).
36
3.6.2 Screening of rhizobial isolates for salt tolerance levels
Rhizobial isolates were grown in YEMB media to turbid and inoculated as described
in sections 3.6.1.2 and 3.6.1.3 on YEMA media containing 0.1 %, 1 %, 3 %, 5 % 6
%, 7 %, 8 % and 10 % NaCl (w/v) using a multi‒point inoculator then incubated at
28 ±1 °C. Four days‒old rhizobia inoculated plates were recorded as growth present
(1) or no growth (0) in an excel spreadsheet. During scoring, growth of rhizobial
cultures on YEMA + salt levels was compared to those grown on control media
(YEMA + 0.1 % NaCl).
3.6.3 Selection of sesbania rhizobia for PCR‒RFLP assays
Respective intrinsic antibiotic resistance and salt tolerance data for isolates from each
site in Excel format were merged and exported to statistical software PAST
(Hammer et al., 2005) for clustering of the isolates into their similarity matrix using
the Unweighted Pair Group Method with Average (UPGMA). Dendrograms were
constructed for isolates per site and used to select for rhizobia samples used in
PCR‒RFLP fingerprinting practical. The clusters were then used to select
characteristically unique rhizobial isolates per site. A maximum of three isolates
were picked from each cluster of closely related isolates per site. Isolates from
Namibia were merged to generate a single dendrogram. In cases of nodule
co‒occupancy, all the isolates were picked for PCR‒RFLP assays even if they
exhibited 100 % similarity in IAR and salt tolerance. Reference strains (Table 3.2)
obtained from various culture collection centres were also included in the study.
37
Table 3.2: Reference strains used in PCR‒RFLP assays, their host plants and sources
Strain
Host plant
Source
KFR8 (Bradyrhizobium sp.)
Acacia nubica
KEFRI
KFR84 (Mesorhizobium sp. type II)
A. tortilis
KEFRI
KFR459 (Agrobacterium sp. type I)
A. polyacantha
KEFRI
USDA9030 (Rhizobium leguminosarum)
Phaseolus vulgaris
USDA
BA37 (R. leguminosarum)
P. vulgaris
MIRCEN
DWO253 (R. leguminosarum)
P. vulgaris
KEFRI
DWO461 (R. tropici type IIB)
Sesbania sesban
KEFRI
KFR647 (M. huakuii )
S. sesban
KEFRI
KFR402 (Mesorhizobium sp. type I)
S. sesban
KEFRI
Azorhizobium sp.
S. rostrata
Senegal
USDA1002 (Ensifer meliloti)
Medicago sativa
USDA
ORS177 (Bradyrhizobium sp.)
Faidherbia albida
Senegal
KFR552 (B. elkanii)
F. albida
KEFRI
USDA76 (B. elkanii)
Glycine max
USDA
USDA110 (B. japonicum)
G. max
USDA
DWO100 (Rhizobium sp.)
Prosopis juliflora
KEFRI
USDA2370 (R. leguminosarum bv. Viciae)
Pisum sativum
USDA
KFR, Kenya Forestry Research ‒ Rhizobial Culture Collection; MIRCEN,
Microbiological Resources Centres; USDA, United states Department of Agriculture,
National Rhizobium Culture Collection, Beltsville Agricultural Research Center,
USDA, Beltsville, USA.
3.6.4 Rhizobial DNA extraction
Bacterial DNA was extracted using the method by Terefework et al. (2001) with
minor alteration. The fast and slow growing rhizobial isolates were grown in 10 mL
YEMB contained in McCartney bottles for three and seven days respectively. One
hundred microlitres (100 µL) rhizobial cultures grown in YEMB to 109 cells mL‒1
were aseptically seeded in fresh 10 mL YEMB. Two millilitres of 48 hours‒old broth
culture was aseptically transferred into an eppendorf tube and centrifuged at 10 000 x
g (25 °C) for 10 minutes to pellet the rhizobial cells. The supernatant containing
YEMB was carefully discarded by decanting leaving behind a pellet of bacteria at the
38
bottom of eppendorf tube. This process was repeated two more times for the slow
growing rhizobia. The pellet was washed two times using sterile distilled water by
centrifuging at 10 000 x g (25 °C) for 5 minutes. Cell pellets were re‒suspended in
100 μL of TE buffer (10 mM Tris/HCl, 1 mM EDTA, pH 8.0) and vortexed for 5
seconds to mix. The suspension was subjected to boiling at 96 °C in a water bath for
10 minutes to lyse the bacteria and cooled for 30 minutes at temperature of 25 °C.
Four
hundred
millilitres
(400
mL)
of
65
°C‒preheated
CTAB
(Hexadecyltrimethylammonium bromide) extraction buffer (Table 3.3) was added to
the lysed bacteria, mixed gently and incubated in a water bath at 65 °C for 20
minutes before cooling for 30 minutes at 25 °C. Four hundred microlitres (400 µL)
of chloroform: isoamyl alcohol (24:1, v/v) was added and mixed gently then
incubated at a temperature of ˗20 °C for 20 minutes. The samples were then
centrifuged at 14 000 x g at a temperature of 4 °C for 10 minutes and the supernatant
was transferred into a fresh eppendorf tube.
Table 3.3: Recipe for Hexadecyltrimethylammonium bromide extraction buffer
Reagent
mL
CTAB
1.28
PVP
2.56
5 M NaCl
3.60
0.5 M EDTA
0.51
1 M Tris‒HCl, pH 7.6
1.28
Mercaptoethanol
0.064
H2O (distilled sterile)
3.6
Total
12.894
CTAB, Hexadecyltrimethylammonium bromide; PVP, polyvinylpyrrolidone.
39
Four hundred microlitres of ice‒cold 99.5 % ethanol was added and mixed well by
inverting the tube 10 times. The DNA was precipitated by centrifugation at 14 000 x
g at a temperature of 10 °C for 30 minutes. The supernatant was carefully discarded
by aspirating the ethanol. The DNA pellet was washed in 400 µL of 70 % ice‒cold
ethanol by inverting the tube gently and then centrifuged at 14 000 x g (10 °C) for 10
minutes. The supernatant was carefully discarded by aspirating and the eppendorf
tube was inverted over a styrofoam and placed on the bench at room temperature to
dry the DNA pellet for 14 hours. The DNA pellet contained in the eppendorf tube
was re‒suspended in 100 µL of DNase/RNase free water and mixed by flicking the
tube with a finger until DNA dissolved. The quality and quantity of the extracted
DNA was measured using a spectrophotometer (Model: Biospec‒nano for life
science, Shimadzu Biotech‒Japan) before each was diluted to 10 ng µL‒1 using
DNase and RNase free water. The bacterial DNA was stored under ˗20 °C before
being used for 16S rRNA gene amplification.
3.6.5 PCR mastermix preparation
Bacterial DNA extracted using the method of Terefework et al. (2001) was used as a
template to amplify the nearly full‒length 16S rRNA gene using fD1
(5'‒AGAGTTTGATCCTGGCTCAG‒3')
and
rD1
5'‒AAGGAGGTGATCCAGCC‒3') primers (Weisburg et al., 1991). A 24 µL
reaction PCR mastermix enough for 100 samples was prepared each to include 12.88
µL DNase and RNase free water; 2.5 µL of 10x PCR buffer; 2.92 µL of 2.5 mM
MgCl2; 1.0 µL of 10 mM dNTPs; 1.2 µL of 10 µM each of the universal
oligonucleotide primers fD1 and rD1 which corresponds to Escherichia coli 16S
rRNA gene position 8‒27 and 1524‒1540 respectively which amplified near
40
full‒length rhizobia 16S rDNA; 2.0 µL Q‒solution; 0.3 µL of 5 units µL‒1 Taq
polymerase and mixed using a vortex for 5 seconds. Twenty four microlitres (24 µL)
of mastermix aliquots were transferred to DNase‒ and RNase‒free thin‒walled PCR
96 plate before 1 µL of 10 ng µL‒1 rhizobial DNA was added using a Veriti® 96‒well
thermal cycler (Applied biosystems).
3.6.6 16S rRNA‒PCR amplification conditions
PCR amplification of the 16S rRNA gene region of rhizobia from 79 sesbania, P.
vulgaris and 16 reference strains was carried out as per the protocol described by Tan
et al. (1997) using the following reaction conditions: initial denaturation at 94 °C for
5 minutes, 30 cycles (denaturation at 94 °C for 30 seconds, primer annealing at 53 °C
for 40 seconds, extension at 72 °C for 90 seconds) and a final extension at 72 °C for
7 minutes.
3.6.7 Gel electrophoresis of rhizobial 16S rRNA PCR products
The size of the PCR amplicons were determined by staining the PCR products using
SYBR® green dye then separated on 0.8 % agarose gel for 45 minutes at 90 volts
using 0.5 x TBE buffer (0.484 g L‒1 Tris, 0.037 g L‒1 EDTA, pH 8). The PCR
products were then viewed and documented using a gel documentation bioimaging
system (Model: Gel Doc‒it 300, UVP Bioimaging Systems, Upland, CA). The size
of 16S rRNA band of each sample was recorded.
3.6.8 Restriction of 16S rRNA gene PCR amplicons
Restriction of the16S rRNA gene PCR amplicons was carried out in a mastermix that
comprised of 2.4 µL DNase‒free and RNase‒free PCR water, 1.0 µL Cutsmart
41
buffer, 0.1 µL (100 ng 50 µL‒1) Bovine serum albumin (BSA) and 0.5 µL of each of
the endonucleases HaeIII (5′‒GG/CC‒3′), HinfI (5′‒G/ANTC‒3 and MspI
(5′‒C/CGG‒3′) separately, as per the manufacturer′s instructions (Invitrogen™ Life
Technologies). Six microlitres of the 16S rRNA gene PCR products were added to
each of the 4 µL mastermix aliqouts in DNase‒ and RNase‒free thin‒walled
un‒skirted low profile 96 plates and incubated at 37 °C for 2 hours.
3.6.9 Gel electrophoresis of restriction fragments of rhizobial 16S rRNA
Separation of restriction fragments by electrophoresis was performed as described by
Laguerre et al. (1994). Restriction fragments were stained using SYBR® green dye
and separated by horizontal electrophoresis in a 2.5 % agarose gel for 2.5 hours at 90
V using 0.5 x TBE buffer. Restriction fragment profiles were then viewed and
documented using a gel documentation bioimaging system (Model: Gel Doc‒it 300,
UVP Bioimaging Systems, Upland, CA). The restriction fragment patterns were used
to generate binary data (1) or (0) and recorded in an Excel spreadsheet which was
later separated per the four countries of origin and used to draw likelyhood
dendrograms.
3.7 Isolates effectiveness test with Sesbania sesban and common bean plants
using Leonard jar assembly
3.7.1 Plant materials
Quality S. sesban seeds were obtained from a raised seed stand in Malava forest,
Kakamega, Kenya. A healthy seeded S. sesban tree was selected for seed harvesting.
Seeds from a single mother tree were preferred to minimize genetic variations as
opposed to the general collections. Sesbania sesban was chosen for this work since it
42
was not possible to acquire seeds for other local and exotic Sesbania species.
Common bean seeds (variety Rose coco LOT Number 14‒13‒7561; REF Number
13/14/03/2116) were obtained from Simlaw Seeds Company Limited (Kenya).
3.7.2 Experimental design
The experiment was made in a randomized complete block design with four
replicates each containing two plants. There were 115 treatments that consisted of
one hundred and seven sesbania rhizobial isolates, six reference strain (DWO253
Phaseolus vulgaris, KFR269 Siratro, KFR209 Faidherbia albida, BA37 P. vulgaris,
KFR647 S. sesban and KFR402 S. sesban), uninoculated plants supplemented with 0
ppm N and 70 ppm N (controls).
3.7.3 Seed pretreatment and pre‒germination
Healthy S. sesban and common bean seeds with uniform seed size were selected
before they were pre‒treated. Common bean‒seeds were cleaned in several changes
of tap water to remove seed preservatives. The seeds were surface sterilized using 3
% sodium hypochlorite for ten minutes, rinsed in five changes of sterile distilled
water, soaked in sterile distilled water for 12 hours to imbibe and break the dormancy
before they were aseptically pre‒germinated on 0.5 % (w/v) water agar contained in
petri dishes for three days at a temperature of 28 °C.
3.7.4 Preparation of Leonard jar assembly
The assembling of the high density (autoclavable) Leonard jars was accomplished as
described by Somasegaran and Hoben (1994). Leonard jar assembly was made up of
a reservoir (bottom) containing plant nutrient solution and a substrate holder (top).
43
Medium size vermiculite, an inert substrate, was soaked for 48 hours and cleaned in
several changes of tap water before its pH was adjusted to 6.8 using either 1 N
sodium hydroxide or 1 N hydrochloric acid. The top part of the assembly was parked
with vermiculite then placed over the reservoir which contained 500 mL
nitrogen‒free plant nutrient solution. The entire assembly was inserted in a khaki
paper bag No. 4 and covered using an aluminum foil. Assembled jars were sterilized
using an autoclave at a temperature of 121 °C and pressure of 1.2 bars for 60
minutes. Sterile jars were allowed to cool overnight.
3.7.5 Preparation of nitrogen‒free plant nutrient solution
Five millilitres of N‒free plant nutrient stock solutions (Broughton and Wilworth,
1971) containing 294.1 g L‒1 CaCl2.2H2O; 136.1 g L‒1 KH2PO4; 6.7 g L‒1 Fe‒citrate;
123.3 g L‒1 MgSO4.7H2O; 87.0 g L‒1 K2SO4; 0.338 g L‒1 MnSO4.H2O; 0.247 g L‒1
H3BO3; 0.288 g L‒1 ZnSO4.7H2O; 0.100 g L‒1 CuSO4.5H2O; 0.056 g L‒1
CoSO4.7H2O and 0.048 g L‒1 Na2MoO2.2H2O was each added to 5 litres of distilled
water, stirred using a glass rod to mix then diluted to ten litres. The pH of the nutrient
solution was adjusted to 6.8 using 1 N NaOH or 1 N HCl before it was added to
Leonard jar reservoir.
3.7.6 Transfer of pre‒germinated seeds to vermiculite in Leonard jars
The aluminum foil on the sterile Leonard jar was removed before three holes deep
enough for inserting 2 cm‒long radicles were made into the substrate of each
Leonard jar using a sterile pair of forceps. Three pre‒germinated seeds were then
inserted gently into holes made in each jar and covered using vermiculite of the same
44
Leonard jar. The aluminum foils were placed back to cover the jars until emergence
of the seedlings.
3.7.7 Inoculant preparation and inoculation of the host plant
One hundred and seven representative sesbania rhizobial isolates of various
morphological groups and origin of sesbania isolates and reference strains
(DWO253, Phaseolus vulgaris, KFR269 Siratro, KFR209 Faidherbia albida, BA37
P. vulgaris, KFR647 S. sesban and KFR402 S. sesban, used for inoculants
preparation for their respectively hosts at KEFRI) were grown in YEMB for 3‒7
days on a rotary shaker with a rotation of 100 rpm depending on their rates of
growth. Slow growing rhizobia were inoculated in broth three days before the fast
growers. Turbid cultures at late exponential phase, with approximately 10 9 rhizobial
cells mL‒1 broth were used to inoculate the pre‒germinated S. sesban and common
bean seedlings. One millilitre of the rhizobial culture was introduced at the root
collar of each one of the three‒day old seedling growing in Leonard jar using a
pipetman with a sterile pipette tip. Four replicates per treatment of sesbania rhizobial
cultures and a similar set of uninoculated Minus N treatments (controls) replenished
with N‒free plant nutrient and uninoculated Plus N treatments (controls) replenished
with 70 ppm N applied as KNO3 solution were allowed. Vermiculite in all jars was
covered with a layer of sterile ballast as a barrier against external contamination.
Ten‒day old seedlings were thinned to two per jar using a sterile scalpel blade. The
four replicates of each treatment were arranged into a completely randomized design
on a clean bench in a glasshouse with controlled conditions (70 % shaded, 80 %
humidity and at mean temperatures of 30/18 °C day/night). Plants were replenished
45
with 500 mL of respective sterilized nutrient solution every two weeks after pouring
off the previous contents of the Leonard jar reservour until harvest.
3.7.8 Harvesting of Sesbania sesban and common beans
Sesbania sesban and common beans were destructively harvested after 8 and 4
weeks of growth respectively. The substrate holding plant roots were pulled out of
the Leonard jar then immersed in tap water contained in a spacious trough to wash
off the vermiculite. Plants with washed roots were transferred to the laboratory where
nodules were detached from the roots and roots separated from the shoots. Nodules
were counted and recorded. Shoots, roots and nodules were then dried separately at a
temperature of 70 °C for 72 hours. Shoot dry weight, nodule dry weight per plant and
specific nodule dry weight were determined and recorded separately.
3.7.9 Determination of shoot total nitrogen
Shoots of all nodulated common beans and selected S. sesban treatments were
ground to fine powder using a hammer grinder (Model; Retsch Gmbh MM400,
Germany) and their nitrogen content determined using Kjeldhal method as described
by Anderson and Ingram (1993) and Okalebo et al. (2002). A 0.3 g plant sample was
added to a digestion tube containing 4.4 mL of dissolved 0.42 g of selenium (Se)
powder and 14 g of lithium sulphate in 350 mL of 30 % hydrogen peroxide and 420
mL. of concentrated sulphuric acid and digested in a block digester (Skalar Block
Digester System, Model SA 5640). The digestion tubes were heated at a temperature
of 360 ºC for 2 hours. Twenty five millitre (25 mL) of water was added to the cooled
sample and topped to the 50 mL mark using distilled water. The sample was allowed
to settle and a 10 mL clear solution was transferred to the distillation tubes, 10 mL of
46
40 % NaOH added to the sample then distilled. The extract was steamed immediately
into 5 mL of 1 % boric acid and 4 drops of mixed indicator. Distillation was
continued for 2 more minutes after the indicator turned green then followed by
titration using 0.1 M HCl until the colour changed from green through grey to a
definite pink. Nitrogen content in shoot sample was calculated using the following
formula by Okalebo et al. (2002):
N (%) = Titre x HCl Molarity x Extract Volume x 0.014 / aliquot volume x plant
weight (where 0.014 is milliequivalent weight of nitrogen).
3.7.10 Determination of symbiotic efficiencies (%)
Symbiotic efficiencies percent (SE %) of the sesbania rhizobial isolates on S. sesban
and common beans was determined as described by Yaman and Cinsoy (1996).
Nitrogen content was calculated as: (shoot dry weight x N concentration) per plant
and the N fixed (plant N content in inoculated treatments ˗ plant N content in
un‒inoculated treatments). Symbiotic effectiveness was estimated by comparing each
inoculated plant with the plus 70 ppm N treatments (i.e. plant N content in inoculated
plant/plant N content in 70 ppm N plant) x 100 (Beck et al., 1993). The sesbania
isolates forming symbiosis with S. sesban were then arbitrarily rated as: very
efficient (VE) when the shoot dry weight (SDWt.) of the nodulated host in the
Leonard jar was higher than the total mean of all inoculation treatments added to the
standard deviation (0.867 + 0.179); efficient (E) when its yield was between that of
the mean + standard deviation (between 0.867 + 0.179) and mean ˗ standard
deviation (0.867 ˗ 0.179) and inefficient (I) when its yield was smaller than the mean
˗ standard deviation (0.867 ˗ 0.179), as described by Lalande et al. (1990). This
47
rating was repeated using the total mean of shoot dry weight of nodulated common
beans and the standard deviation (0.789 + 0.109 and 0.789 ˗ 0.109).
3.8 Data analysis
The combined binary data from antibiotic resistance and salt tolerance recorded in an
Excel spreadsheet was exported to statistical computer software (Hammer et al.,
2005) for dendrogram construction using the UPGMA. The binary data obtained
from PCR‒RFLP fragment profiles and recorded in an Excel spreadsheet was
exported to the statistical programs GenAlex 6.2 (Peakall and Smouse, 2006; 2012)
and statistical program MEGA version 4 (Tamura et al., 2007) for phylogenetic
diversity analysis and dendrogram construction using the UPGMA. Isolates that had
identical RFLP patterns were designated as one ribotype. Data for shoot dry weight,
root dry weight, nodule number and nodule dry weight per plant were assessed for
normality of distribution before they were subjected to a one-way ANOVA using
GenStat computer software 16th Edition (VSN International, 2012). Pearson
correlation coefficient was used to determine the relationship between plant growth
parameters. Tukey’s HSD pairwise comparison at p ≤ 0.05 was used to separate the
means.
48
CHAPTER FOUR
RESULTS
4.1 Morphological characterization
One hundred and twenty eight nodule forming bacteria (rhizobia) were isolated from
root nodules of sesbania that were grown in diverse conditions in Kenya, Uganda,
Tanzania and Namibia (Appendices I–IV). The isolates were either flat, raised or
dome shaped with entire margins. They were grouped into nine unique morphotypes
based on their growth characteristics on YEMA‒CR (Table 4.1). Morphotypes I‒V
were fast growers (2‒3 days), morphotypes VI‒VII (4‒6 days) were moderate
growers while morphotypes VIII and IX exhibited slow growth (7‒9 days) on growth
media incubated at 28±1 °C. Morphotypes II, V and VI produced copious
exopolysaccharides (EPS), morphotypes I, III, IV and VII secreted moderate EPS
with gummy properties while morphotypes VIII and IX were non‒EPS producers
(Table 4.1).
49
Table 4.1: Characteristics of sesbania rhizobial isolates on YEMA‒CR media
Characteristics
Morphotype
3 mm diameter, pink, translucent, milky centre, dome, shinny
and moderate gummy exoplysaccharides
I
5 mm diameter, milky, translucent, shiny, dome and copious
friable exopolysaccharides
II
4 mm diameter, red, opaque, shiny, raised and moderate gummy
exopolysaccharides
III
2 mm diameter, brown centre, clear margin, raised, shiny,
moderate gummy purple exopolysaccharides
IV
5 mm diameter, pink suspensions, opaque, raised, dull and
copious watery exoplysaccharides
V
4 mm diameter, transparent, shiny, dome and copious viscous
exopolysaccharides
VI
2 mm diameter, milky opaque, raised, shinny and gummy
moderate exopolysaccharides
VII
1 mm diameter, milky opaque, dome,
exopolysaccharides
VIII
shiny and no
< 1.0 mm diameter, pink, translucent, flat, dull, dry and no
exopolysaccharides
IX
Colony size of the rhizobia ranged from < 1.0 mm to 5.0 mm in diameter.
Morphotype VI colonies were transparent. Morphotypes I, II and IX were
translucent, morphotypes III, V, VII and VIII were opaque while morphotype IV had
a brown centre with clear margins. With the exception of rhizobia clustered in
morphotype III, all others were nonchromogenic during growth on YEMA media.
All the isolates were shiny except those in morphotypes V and IX which were dull
(Plate 4.1).
50
I
II
III
IV
V
VI
VII
VIII
IX
5mm
Plate 4.1: Growth of sesbania rhizobial on YEMA‒CR media showing colony
morphotypes I ‒ IX.
During culturing of the sesbania rhizobia on YEMA media, some cultures developed
hollow centres with uneven margins irrespective of the number of sub‒culturing onto
fresh media (Plate 4.2).
51
H
Plate 4.2: Rhizobial colonies on YEMA media showing H, hollow centre.
Sesbania rhizobia assigned to the nine morphotypes had the following percent
composition: morphotype I (23.7 %), II (5.3 %), III (5.3 %), IV (2.6 %), V (18.4 %),
VI (14.5 %) VII (14.5 %), VIII (6.6 %) and IX (9.2 %) (Table 4.2).
Table 4.2: Percent composition of sesbania rhizobial isolates in each of the nine
morphotypes
Morpho‒
Phenotype groups of isolates
type
I
Percent
isolates
MASS37a, MASS51a, MASS59, MASS137a, MASS140,
MASS177a, MASS170, MN2, MN10, MN18, MN26, MN27,
MN35, MN39, MN50, MN51, MN56, MN62.
23.7
II
MASS171, MASS57, MASS138, MN4.
5.3
III
MASS31a, MASS130, MASS147, MN22.
5.3
IV
MASS40a, MN44.
2.6
V
MASS31b, MASS40b, MASS62, MASS114, MASS117a,
MASS126, MASS127, MASS159, MASS174, MASS175,
MN19, MN31, MN34, MN38.
18.4
VI
MASS117b, MASS141, MASS172, MASS177b, MASS37b,
MASS41, MASS49, MASS53, MN9, MN36, MN71.
14.5
VII
MASS42, MASS43, MASS51b, MASS60, MASS65,
MASS112, MASS132, MASS133, MASS137b, MASS176,
MN12.
14.5
VIII
MASS30, MASS33, MASS50, MASS117c, MN13.
6.6
IX
MASS29, MASS36, MASS136, MASS160, MN11, MN17,
MN26.
9.2
52
Sesbania rhizobial isolates were grouped into nine distinct morphotypes (I–IX) as per
the Neighbour joining (NJ) dendrogram constructed based on colony morphological
traits using UPGM A (Figure 4. 1).
I
II
III
IV
V
VI
VII
VIII
IX
Figure 4.1: Neighbour joining dendrogram constructed based on colony
morphological traits using UPGMA showing relatedness of sesbania rhizobial
isolates.
53
Rhizobial isolates recovered from Kenyan sites were distributed in all morphotypes
except IV (Table 4.3a). Morphotype VIII contained a single isolate (MASS117c).
Morphotype VI was universal in the four Kenyan sites. No rhizobia isolated from
Kavutiri were grouped into morphotypes IV, V and VIII. The three Kuinet rhizobial
isolates were distributed in morphotypes I, II and VI. Two isolates from Bumala site
were grouped into morphotype V (MASS177b) and morphotypes VI (MASS176)
while three isolates were grouped into morphotype IX. No isolates from Bumala
conformed to characteristics of morphotypes II, III, IV and VIII. Gituamba isolates
were grouped into morphotypes V, VI, VII and VIII with two isolates in morphotype
V and one each in morphotypes VI, VII and VIII. No rhizobial isolates from
Gituamba were grouped into morphotypes I, II, III, IV and IX (Table 4.3a).
54
Table 4.3a: Distribution of S. sesban rhizobial isolates from four Kenyan sites in nine
morphotypes
Morphotype
group
Kenya
Kavutiri
Kuinet
Bumala
Gituamba
I
MASS137a
MASS140
MASS170
MASS177a
‒
II
MASS138
MASS171
‒
‒
III
MASS130
MASS147
‒
‒
‒
IV
‒
‒
‒
‒
V
‒
‒
MASS126
MASS127
MASS159
MASS174
MASS175
MASS114
MASS117a
VI
MASS141
MASS172
MASS177b
MASS117b
VII
MASS132
‒
MASS176
MASS112
MASS133
MASS137b
VIII
‒
‒
‒
MASS117c
IX
MASS136
‒
MASS168
MASS178
‒
MASS160
The only two rhizobial isolates from Kabale were grouped each in morphotypes V
and VII (Table 4.3b). Tororo isolates were distributed in groups I, VI, VII and VIII.
Mbale nodules had isolates that conformed to characteristics similar to those of
morphotypes I, II and VII only.
55
Table 4.3b: Distribution of S. sesban rhizobial isolates from three Ugandan sites in nine
morphotypes
Morphotype
group
Uganda
Kabale
Tororo
Mbale
I
‒
MASS51a
MASS59
II
‒
‒
MASS57
III
‒
‒
‒
IV
‒
‒
‒
V
MASS62
‒
‒
VI
‒
MASS49
‒
MASS53
VII
MASS65
MASS47
MASS60
MASS51b
VIII
‒
MASS50
‒
IX
‒
‒
‒
The three isolates from SUA in Tanzania were grouped into morphotypes VI (one
isolate) and VIII (two isolates) (Table 4.3c). Lushoto isolates were spread in all
morphotypes except in morphotypes II and VII.
56
Table 4.3c: Distribution of S. sesban rhizobial isolates from two Tanzanian sites in
nine morphotypes
Morphotype
group
Tanzania
SUA
Lushoto
I
‒
MASS37a
II
‒
‒
III
‒
MASS31a
IV
‒
MASS40a
V
‒
MASS31b
MASS40b
VI
MASS41
MASS37b
VII
MASS42
‒
MASS43
VIII
‒
MASS30
MASS33
IX
‒
MASS29
MASS36
All the rhizobial isolates recovered from Khorixas Outijo and Rooidrom were
grouped into morphotype I (Table 4.3d). Isolates from Swakop were distributed
equally in morphotypes I, IV and VI. Rio Tinto Gorge isolates were clustered into
morphotypes I (3 isolates) and one isolate in each of morphotypes II and VI. Isolates
from Epupa falls were grouped into morphotypes I, III, V and VIII. Suclabo and
Omuramba isolates were grouped into V and IX while those from Sesfontein were
grouped in morphotypes VI and VII.
57
Table 4.3d: Distribution of sesbania rhizobial isolates from eight Namibian sites in
nine morphotypes
MN27
MN56
MN62
MN39
‒
Sesfontein
‒
Rooidrom
MN18
MN35
Omuramba
Suclabo
MN50
falls
MN51
Epupa
Rio Tinto Gorge
MN26
Swakop
Khorixas
I
Outijo
Morphotype
Namibia
MN2
MN10
‒
II
‒
‒
MN4
‒
‒
‒
‒
‒
III
‒
‒
‒
MN22
‒
‒
‒
‒
IV
‒
MN44
‒
‒
‒
‒
‒
‒
V
‒
‒
‒
MN19
MN31
MN34
‒
‒
MN38
VI
‒
MN9
MN36
‒
‒
‒
‒
MN71
VII
‒
‒
‒
‒
‒
‒
‒
MN12
VIII
‒
‒
‒
MN13
‒
‒
‒
‒
IX
‒
‒
‒
‒
MN28
MN11
‒
‒
MN17
4.2 Characteristics of sesbania rhizobia on YEMA‒BTB media
Actively growing sesbania rhizobia characteristically changed the green colour of
YEMA‒BTB at pH 6.8 to blue or yellow colour. Some of the isolates did not change
the green colour to either blue or yellow (Plate 4.3).
58
A
B
C
D
Plate 4.3: pH reaction characteristics of sesbania rhizobia on YEMA‒BTB media. A,
control plate (with no rhizobia); B, yellow colour; C, green colour; D, Blue colour.
Seventy eight sesbania rhizobial isolates were acid producers, 25 were neutral and 21
were alkaline producers (Table 4.4).
Table 4.4: pH reaction of sesbania rhizobial isolates on YEMA‒BTB media
pH
reaction
Isolate
Acid
MASS30, MASS31a, MASS32, MASS33, MASS34, MASS35,
MASS37, MASS38, MASS39, MASS40, MASS41, MASS42,
MASS43, MASS44, MASS45, MASS46, MASS47, MASS48,
MASS49, MASS50, MASS51, MASS53, MASS54, MASS55,
MASS57, MASS60, MASS62, MASS63, MASS65, MASS66,
MASS67, MASS68, MASS69, MASS110, MASS111, MASS112,
MASS113, MASS114, MASS115, MASS161, MASS162,
MASS167, MASS168, MASS170, MASS172, MASS173,
MASS176, MASS177, MN1, MN4, MN8, MN13, MN16, MN18,
MN19, MN20, MN21, MN22, MN24, MN25, MN26, MN27, MN28,
MN31, MN34, MN37, MN38, MN40, MN41, MN42, MN43, MN44,
MN45, MN51, MN58, MN59, MN9, MN60.
Neutral
MASS116, MASS131, MASS132, MASS133, MASS134b,
MASS135, MASS136, MASS137b, MASS156, MASS158,
MASS159, MASS169, MASS171, MASS174, MASS181, MN2,
MN10, MN12, MN15, MN39, MN49, MN56, MN57, MN62, MN68.
Alkaline
MASS29, MASS31b, MASS36, MASS61, MASS64, MASS117,
MASS130, MASS157, MASS163, MASS164, MASS165,
MASS166, MASS178, MASS180, MN11, MN17, MN35, MN50,
MN69, MN70, MN71.
59
Out of the 124 isolates tested on YEMA-BTB media, the colour change from green
to yellow accounted for 64.3 % followed by the green colour (19.4 %) and blue at
16.3 % (Figure 4.2).
Figure 4.2: Colour change of YEMA-BTB by sesbania rhizobial isolates.
4.3 Gram staining
All the sesbania isolates retained the pink color on counter staining using safranin,
typical of legume root nodule forming bacteria. The stained isolates were rod‒shaped
on observation under a microscope (Plate 4.4).
60
Plate 4.4: Gram negative rod‒shaped rhizobia (Magnification x 600).
4.4 Selection of rhizobia for PCR‒RFLP using intrinsic antibiotic resistance
(IAR) and sodium chloride (NaCl) tolerance assays
4.4.1 Intrinsic antibiotic resistance of sesbania isolates
A total of 128 rhizobia from root nodules of sesbania that were tested for their
intrinsic antibiotic resistance on YEMA supplemented with 12 different synthetic
antibiotics each at two concentration levels of 50 mg L‒1 and 100 mg L‒1 were
variously sensitive to the type and concentration of antibiotics used. For instance,
isolate MASS140 was totally suppressed by 100 mg L‒1 of kanamycin but produced
copious EPS on 100 mg L‒1 penicillin compared to control plate. Also, MASS50a
produced copious EPS on plates with 100 mg L‒1 penicillin compared to the controls
(Plate 4.5).
61
A
C
B
Plate 4.5: Sensitivity of sesbania isolates to antibiotics. A, kanamycin; 100 mg L‒1 ;
B, penicillin 100 mg L‒1; C, control.
MASS
125
MASS
MASS
MASS
136
141
MASS
137a
MASS
51c
48
MASS
MASS
51a
51b
MASS
62
OP.
MASS MASS
178
MASS
140
59
MASS
MASS
MASS
111
147
40
MASS
MASS MASS
110
50a
MASS
MASS
65
57
60
Figure 4.3: Schematic diagram showing orientation of isolates on Plate 4.5. OP =
orientation point).
62
Sixty one point three percent (61.3 %) of the sesbania rhizobia tested were resistant
to all the antibiotics except spectinomycin and streptomycin at a concentration of 50
mg L‒1 (Figure 4.4). Spectinomycin and streptomycin at a concentration of 50 mg L‒1
allowed 26.8 % and 49.3 % respectively of sesbania isolates to grow. The isolates
were most sensitive to concentrations of 100 mg L‒1 of rifampicin, spectinomycin,
streptomycin, neomycin and kanamycin with resistance of 14.8 %, 12 %, 12 %, 10.6
% and 8.5 % respectively.
Figure 4.4: Resistance of sesbania rhizobial isolates to antibiotics. Kas,
kasugamycin; Car, carbanicillin; Neo, neomycin; Ery, erythromycin; Pen,
penicillin‒G; Tet, tetracycline; Rif, rifampicin; Amp, ampicillin; Nov, novobiocin;
Kan, kanamycin; Spe, spectinomycin; Str, streptomycin.
Rhizobia from Bumala, Gituamba, Kuinet and Kavutiri (Kenya) had varying
resistance to the 12 antibiotics at the two concentration levels 50 mg L‒1 and 100 mg
L‒1 (Table 4.5a). The mean percent resistance ranged from 64.6 % to 81.1 % and
26.7 % to 44.2 % for antibiotics concentration level of 50 mg L‒1 and 100 mg L‒1
63
respectively. Bumala site isolates had a mean percent resistance of 79.5 % and 44.2
% to antibiotics at a concentration of 50 mg L‒1 and 100 mg L‒1 respectively. All
isolates from Bumala were resistant to 50 mg L‒1 rifampicicn, kasugamycin,
neomycin and carbanicillin. Rhizobia from Bumala had the least resistance (7.7 %)
to spectinomycin and neomycin. Gituamba site isolates had a mean percent
resistance of 64.6 % and 29.2 % on antibiotics at a concentration of 50 mg L‒1 and
100 mg L‒1 respectively. There was a total growth inhibition of isolates from
Gituamba site by streptomycin and spectinomycin at a concentration of 50 mg L‒1
and kanamycin, streptomycin, spectinomycin, novobiocin and neomycin at a
concentration of 100 mg L‒1. An equal number of isolates from Gituamba had similar
resistance to ampicillin and penicillin (37.5 %) and erythromycin (87.5 %). Kuinet
site isolates had a mean percent resistance of 66.7 % and 26.7 % to antibiotics at a
concentration of 50 mg L‒1 and 100 mg L‒1 respectively. All the isolates from Kuinet
grew on media supplemented with kanamycin, penicillin and novobiocin at a
concentration of 50 mg L‒1. Kanamycin, streptomycin, spectinomycin and neomycin
at a concentration of 100 mg L‒1 totally inhibited growth of Kuinet site isolates.
Kavutiri site isolates had a mean percent resistance of 81.1 % and 39.4 % to
antibiotics at a concentration of 50 mg L‒1 and 100 mg L‒1 respectively. All the
isolates from Kavutiri were resistant to penicillin, kasugamycin, erythromycin,
neomycin and carbanicillin at a concentration of 50 mg L‒1. Kanamycin at a
concentration of 100 mg L‒1 had a total growth inhibition to Kavutiri isolates (Table
4.5a).
64
Table 4.5a: Percent intrinsic antibiotic resistance of S. sesban rhizobial isolates from
Kenya
Bumala
50
Gituamba
Kuinet
Kavutiri
100
50
100
50
100
50
100
Antib mg
iotics L‒1
mg
mg
mg
mg
mg
mg
mg
‒1
L
‒1
L
‒1
L
‒1
L
‒1
L
‒1
L
L‒1
Amp
84.6
61.5
37.5
37.5
40.0
40.0
80.0
53.3
Kan
84.6
30.8
87.5
0
100.0
0
66.7
0
Rif
100.0
53.8
100.0
37.5
80.0
20.0
66.7
20.0
Str
23.1
15.4
0
0
20.0
0
40.0
26.7
Pen
92.3
69.2
37.5
37.5
100.0
40.0
100.0
66.7
Tet
84.6
61.5
37.5
25
40.0
20.0
80.0
26.7
Kas
100.0
46.2
100.0
62.5
80.0
20.0
100.0
40.0
Spe
15.4
7.7
0
0
20.0
0
53.3
33.3
Nov
76.9
23.1
100.0
0
100.0
40.0
86.7
13.3
Ery
92.4
76.9
87.5
87.5
80.0
80.0
100.0
93.3
Neo
100.0
7.7
87.5
0
60.0
0
100.0
6.7
Car
100.0
76.9
100.0
62.5
80.0
60.0
100.0
93.3
Mean
%
79.5
44.2
64.6
29.2
66.7
26.7
81.1
39.4
Rhizobial isolates from Tororo, Mbale and Kabale (Uganda) exhibited variation in
their resistance to the 12 antibiotics used in this study (Table 4.5b). The mean
percent resistance ranged from 66.7 % to 91.7 % and 26.7 % % to 45.8 % for
antibiotics concentration level of 50 mg L‒1 and 100 mg L‒1 respectively. Isolates
from Tororo had a mean percent resistance of 66.7 % at 50 mg L‒1 and 29.2 % at 100
mg L‒1. inhibition to Tororo isolates exhibited the lowest resistance of 20 % and 0 %
to streptomycin at concentrations 50 mg L‒1 and 100 mg L‒1 had the highest growth
respectively. All isolates from Tororo were resistant to carbanicillin at a
concentration of 50 mg L‒1 while 90 % of the isolates were resistant at 100 mg L‒1.
Mbale isolates had a mean percent resistance of 75 % and 26.7 % at 50 mg L‒1 and
65
100 mg L‒1 respectively. All isolates from Mbale were susceptible to kanamycin,
rifampicin,
streptomycin,
spectinomycin,
novobiocin
and
neomycin
at
a
concentration of 100 mg L‒1. Mbale isolates were all resistant to 50 mg L‒1 and 100
mg L‒1 carbanicillin. Rhizobial isolates from Kabale had a mean percent resistance of
91.7 % and 45.8 % at 50 mg L‒1 and 100 mg L‒1 respectively. All isolates from
Kabale site were susceptible to kanamycin, rifampicin, streptomycin, spectinomycin
and neomycin at a concentration of 100 mg L‒1. All Kabale isolates were resistant to
ampicillin, penicillin, erythromycin and carbanicillin at concentrations 50 mg L‒1 and
100 mg L‒1.
Table 4.5b: Percent intrinsic antibiotic resistance of S. sesban rhizobial isolates from
Uganda
Tororo
50
Antibiotics
Mbale
100
‒1
mg L
50
‒1
Kabale
100
‒1
50
‒1
100
‒1
mg L
mg L
mg L
mg L
mg L‒1
Ampicillin
70.0
60.0
60.0
60.0
100.0
100.0
Kanamycin
60.0
0.0
40.0
0
50.0
0
Rifampicin
80.0
10.0
100.0
0
100.0
0
Streptomycin
20.0
0
40.0
0
50.0
0
Penicillin
80.0
70.0
100.0
60.0
100.0
100.0
Tetracycline
40.0
10.0
60.0
20.0
100.0
50.0
Kasugamycin
70.0
20.0
100.0
40.0
100.0
50.0
Spectinomycin 20.0
10.0
40.0
0
100.0
0
Novobiocin
80.0
10.0
60.0
0
100.0
50.0
Erythromycin
90.0
60.0
100.0
40.0
100.0
100.0
Neomycin
90.0
10.0
100.0
0
100.0
0
Carbanicillin
100.0
90.0
100.0
100.0
100.0
100.0
Mean %
66.7
29.2
75.0
26.7
91.7
45.8
66
Rhizobial isolates from Lushoto and SUA sites (Tanzania) varied in their intrinsic
resistance to the 12 antibiotics (Table 4.5c). The mean percent resistance ranged
from 73.6 % to 77.8 % and 30.6 % to 34.0 % for antibiotics concentration level of 50
mg L‒1 and 100 mg L‒1 respectively. Lushoto site isolates had a mean percent
resistance of 73.6 % and 34 % to antibiotics at concentrations of 50 mg L‒1 and 100
mg L‒1 respectively. At a concentration of 100 mg L‒1 rifampicin inhibited the
growth of all the isolates from Lushoto. The highest IAR was recorded with Lushoto
isolates at 100 mg L‒1 erythromycin (91.7 %). A 58.3 % resistance was recorded for
rhizobial isolates from Lushoto on YEMA media containing 50 mg L‒1 and 100 mg
L‒1 concentrations of ampicillin. Similarly, an equal resistance of 91.7 % was
recorded for rhizobial isolates recovered from Lushoto on YEMA media containing
erythromycin at concentrations of 50 mg L‒1 and 100 mg L‒1. Rhizobia from SUA
site had a mean percent resistance of 77.8 % and 30.6 % at concentration of 50 mg
L‒1 and 100 mg L‒1 respectively. Kanamycin and streptomycin conferred inhibition to
all SUA isolates at both concentrations. SUA isolates recorded 100 % resistance to
all antibiotics at 50 mg L‒1 except ampicillin, kanamycin, streptomycin and
kasugamycin. Kanamycin, rifampicin, streptomycin, tetracycline spectinomycin and
neomycin at a concentration 100 mg L‒1 had total inhibition of SUA isolates.
67
Table 4.5c: Percent intrinsic antibiotic resistance of S. sesban rhizobial isolates from
Tanzania
Antibiotics
Lushoto
‒1
50 mg L
SUA
‒1
100 mg L
‒1
50 mg L
100 mg L‒1
Ampicillin
58.3
58.3
66.7
66.7
Kanamycin
83.3
8.3
0
0
Rifampicin
75.0
0
100.0
0
Streptomycin
33.3
16.7
0
0
Penicillin
83.3
66.7
100.0
66.7
Tetracycline
58.3
33.3
100.0
0
Kasugamycin
100.0
25.0
66.7
33.3
Spectinomycin
50.0
16.7
100.0
0
Novobiocin
75.0
16.7
100.0
66.7
Erythromycin
91.7
91.7
100.0
66.7
Neomycin
75.0
16.7
100.0
0
Carbanicillin
100.0
58.3
100.0
66.7
Mean %
73.6
34.0
77.8
30.6
The mean percent resistance ranged from 25 % to 92 % and 8 % to 75 % for
antibiotics concentration level of 50 mg L‒1 and 100 mg L‒1 respectively (Table
4.5d). Fifty milligrams per litre and one hundred milligrams per litre (50 mg L‒1 and
100 mg L‒1) kanamycin and streptomycin totally inhibited the growth of sesbania
isolates from Okahandja while 50 mg L‒1 and 100 mg L‒1 kanamycin inhibited
growth of isolates from Khorixas‒Outijo. Fifty milligrams per litre and one hundred
milligrams per litre (50 mg L‒1 and 100 mg L‒1) ampicillin, streptomycin,
tetracycline, spectinomycin and novobiocin totally inhibited the growth of sesbania
isolates from Rio Tinto Gorge. Likewise, 50 mg L‒1 and 100 mg L‒1 ampicillin,
streptomycin, tetracycline and novobiocin inhibited the growth of isolates from
Suclabo. Fifty milligrams per litre and one hundred milligrams per litre (50 mg L‒1
and 100 mg L‒1) kanamycin and streptomycin inhibited the growth of isolates from
68
Bunya while 50 mg L‒1 and 100 mg L‒1 novobiocin totally inhibited the growth of
isolates from Rooidrom. Also 50 mg L‒1 and 100 mg L‒1 neomycin totally inhibited
the growth of isolates from Sesfontein. Apart from the complete resistance to
tetracycline, kasugamycin and spectinomycin at a concentration of 50 mg L‒1 and to
kasugamycin at a concentration of 100 mg L‒1, all isolates from Korokoko were
susceptible to the antibiotics used in the present study.
Penicillin, novobiocin, erythromycin and carbanicillin at concentrations of 50 mg L‒1
and 100 mg L‒1 did not affect sesbania isolates from Okahandja (Table 4.5d).
Erythromycin and carbanicillin did not affect growth of sesbania isolates from Rio
Tinto Gorge. Sesbania isolates from Epupa falls were all resistant to kasugamycin
while ampicillin, streptomycin and carbanicillin at concentrations 50 mg L‒1 and 100
mg L‒1did not affect growth isolates from Otjinungua. Growth of all the isolates from
Rooidrom was not affected by concentrations 50 mg L‒1 and 100 mg L‒1of
ampicillin, streptomycin, penicillin, tetracycline, kasugamycin, spectinomycin,
erythromycin, neomycin and carbanicillin. Growth of all the sesbania isolates from
Sesfontein and Korokoko were not affected by concentrations 50 mg L‒1 and 100 mg
L‒1of kasugamycin. Isolates from Rooidrom had the highest mean percent survival at
antibiotics concentration 100 mg L‒1 (75.0 %) while those from Korokoko had the
lowest mean percent survival (8 %).
69
Table 4.5d: Percent antibiotic resistance of Sesbania spp. rhizobial isolates from Namibia
Okahandja
Khorixas
Outijo
Antib
-iotics
50
100
50
mg
L‒1
mg
L‒1
Amp
50
Kan
Swakop
50
mg
L‒1
100
mg
L‒1
0
25
0
0
Rif
100
Str
Rio Tinto
Gorge
Epupa
falls
Otjinungua
50
100
50
100
50
mg
L‒1
100
mg
L‒1
mg
L‒1
mg
L‒1
mg
L‒1
mg
L‒1
25
57
6
0
0
50
0
0
43
0
100
0
50
25
0
57
14
100
0
0
50
25
29
14
Pen
100
100
25
25
71
Tet
100
0
25
25
Kas
100
50
100
Spe
100
0
Nov
100
Ery
Suclabo
Omura-
Bunya
Rooidrom
mba
50
mg
L‒1
100
mg
L‒1
50
100
50
100
50
mg
L‒1
100
mg
L‒1
mg
L‒1
mg
L‒1
mg
L‒1
mg
L‒1
7
100
100
0
0
50
20
100
17
0
50
0
33
0
30
0
0
50
0
50
0
33
0
40
0
0
50
17
50
0
0
0
71
100
0
67
67
100
100
33
86
0
0
0
100
17
50
0
75
100
43
100
0
100
100
100
75
25
100
14
0
0
100
0
100
50
25
57
43
0
0
33
100
100
25
25
71
57
100
100
Neo
100
0
25
25
57
0
100
Car
100
100
25
25
71
71
Mean
%
79
42
38
25
31
11
Sesfontein
50
mg
L‒1
100
mg
L‒1
50
100
0
0
0
100
20
0
0
70
0
0
0
100
50
0
17
50
50
50
0
50
100
100
55
25
Korokoko
50
100
mg
L‒1
100
mg
L‒1
mg
L‒1
mg
L‒1
100
7
3
0
0
100
0
67
33
0
0
0
100
0
67
0
0
0
0
0
100
100
33
0
0
0
40
50
50
100
100
67
67
0
0
60
30
100
0
100
100
100
0
100
0
67
80
60
100
50
100
100
100
100
100
100
67
0
70
10
50
0
100
100
100
0
100
0
0
0
0
40
20
100
0
0
0
67
33
0
0
100
50
33
33
70
60
100
50
100
100
67
0
0
0
33
50
0
33
0
50
10
100
0
100
100
0
0
0
0
50
17
100
100
33
33
80
50
100
50
100
100
67
0
0
0
67
30
58
17
60
28
71
29
75
21
92
75
72
33
25
8
70
4.4.2 Rhizobia tolerance to sodium chloride
Sesbania rhizobial isolates growth on YEMA containing salt levels (NaCl w/v) of 1
%, 3 % and 5 % were similar to those on 0.1 % NaCl (control). Higher salt levels (6
% to 10 %) increasingly inhibited growth of the rhizobial isolates (Plate 4.6).
A
H
B
C
D
G
F
E
Plate 4.6: Sensitivity of sebania rhizobial isolates to salt levels (NaCl w/v) compared
to controls. A,1 %; B, 3 %; C, 5 %; D, 6 %; E, 7 %; F, 8 %; G, 10 % (NaCl levels);
H, 0.1 % (control).
Rhizobia obtained from all the study sites were tolerant to 0.1‒3 % NaCl (Figure
4.4), there after an increase in salt concentration became inversely proportional to the
percent of tolerant sesbania rhizobia (3 % NaCl = 99.2 %, 5 % NaCl = 98.4 %, 6 %
NaCl = 93 %, 7 % NaCl = 80.1 %, 8 % NaCl = 64.3 % and 10 % NaCl = 54.3 % of
the isolates (Figure 4.5).
71
Figure 4.5: Tolerance of sesbania rhizobial isolates to different sodium chloride
concentrations. Error bars with 5 %.
4.4.3 Selection of rhizobial isolates for PCR‒RFLP
Combined binary patterns generated by growth (1) or no growth (0) of rhizobial
isolates on YEMA media supplemented with various levels of antibiotics or NaCl
and analysed using UPGMA method resulted in dendrograms per site with distinctive
clusters (Figures 4.6a‒j). Thirteen Bumala isolates were split into clusters I and II.
Cluster I had one isolate MASS176. Cluster II comprised of split into two groups of
nine isolates (MASS165, MASS157, MASS126, MASS127, MASS167, MASS177a,
MASS178, MASS125 and MASS168) in one group and three MASS160, MASS123
and MASS177b in the other group at node with 26 % similarity index. Two isolates
MASS165 and MASS157 were split within cluster Cluster II at nodes with 6 % and 9
% respectively. Isolates MASS126, MASS127, MASS167, MASS177a and
MASS178 had a similarity index of 89 %. Similarly, isolates MASS125 and
MASS168 had a similarity index of 89 % (Figure 4.6a).
72
I
II
Figure 4.6a: Unrooted neighbour joining dendrogram constructed based on IAR and
salt tolerance using UPGMA method showing relatedness clusters I and II of
sesbania rhizobial isolates from Bumala. Numbers on branches are bootstrap % from
1000 replicates.
Rhizobial isolates from Kuinet formed two similarity clusters. Cluster I consisted of
two perfectly similar isolates (MASS117a and MASS117c) at similarity index 100
%) but were 72 % similar to MASS117b. Cluster II contained MASS112, MASS114
and MASS115 (100 % similar) and MASS111 and MASS110 (100 % similar) but
the two groups had a nodal similarity index of 97 % (Figure 4.6b).
I
II
Figure 4.6b: Unrooted neighbour joining dendrogram constructed based on IAR and
salt tolerance using UPGMA method showing relatedness clusters I and II of
sesbania rhizobial isolates from Kuinet. Numbers on branches are bootstrap % from
1000 replicates.
73
Gituamba isolates MASS174 and MASS170 shared the same similarity node at 76 %
in cluster I. Isolates MASS172 and MASS173 were similar (100 %) but also shared a
cluster with MASS171 at a node with similarity index of 63 % in cluster II (Figure
4.6c).
I
II
Figure 4.6c: Unrooted neighbour joining dendrogram constructed based on IAR and
salt tolerance using UPGMA method showing relatedness clusters I and II of
sesbania rhizobial isolates from Gituamba. Numbers on branches are bootstrap %
from 1000 replicates.
Rhizobial isolates from Kavutiri were grouped into cluster I and II (Figure 4.6d).
Cluster I contained isolates split into two groups at similarity index 34 %. Rhizobial
isolates MASS134, MASS130 and MASS129 were similar (100 %) and had a
similarity index of 82 % with MASS141. The similarity index of isolate MASS140
to isolates MASS138, MASS147, MASS149 and MASS131 was at 42 %, isolate
MASS131 to isolates MASS138, MASS147 and MASS149 was at 44 % and isolate
MASS138 to isolates MASS147and MASS149 was 58 %. Rhizobial isolates in
cluster II had a node at 61 % and they included MASS132, MASS133 (100 %
similarity index) and MASS137a and MASS 137b (100 % similarity index). Isolate
MASS136 was similar to isolates MASS132 and MASS133 by 52 % while
74
MASS142 was similar to isolates MASS137a and MASS 137b by 42 % (Figure
4.6d).
I
II
Figure 4.6d: Unrooted neighbour joining dendrogram constructed based on IAR and
salt tolerance using UPGMA method showing relatedness clusters I and II of
sesbania rhizobial isolates from Kavutiri. Numbers on branches are bootstrap % from
1000 replicates.
Rhizobial isolates of nodules collected from Tororo segregated into two clusters (I
and II). Cluster I had a node at 38 % relatedness which split the isolates into two
groups. Isolates MASS50b and MASS47 with relatedness of 21 % formed one group
while a node with 7 % relatedness formed another group of six isolates. Isolates
MASS48 and MASS49 were 100 % similar but differed with MASS51b and
MASS53 (29 % similarity) at a node with 14 % similarity. Isolates MASS50c and
MASS51a were similar by 44 %. Custer II contained isolates MASS50a and
MASS52 which had a relatedness index of 57 % (Figure 4.6e).
75
I
II
Figure 4.6e: Unrooted neighbour joining dendrogram constructed based on IAR and
salt tolerance using UPGMA method showing relatedness clusters I and II of
sesbania rhizobial isolates from Tororo. Numbers on branches are bootstrap % from
1000 replicates.
Five S. sesban rhizobial isolates from Mbale were segregated into two clusters (I and
II). Cluster I contained isolates MASS60 and MASS54 which had a similarity of 100
%. Cluster II had a node with similarity of 58 % and split isolate MASS59 from
MASS57 and MASS61. Rhizobial isolates MASS57 and MASS61 had a similarity of
100 % (Figure 4.6f).
I
II
Figure 4.6f: Unrooted neighbour joining dendrogram constructed based on IAR and
salt tolerance using UPGMA method showing relatedness clusters I and II of
sesbania rhizobial isolates from Mbale. Numbers on branches are bootstrap % from
1000 replicates.
76
Four S. sesban rhizobial isolates from Kabale site were segregated into clusters I and II.
Cluster I contained isolates MASS69 and MASS62 with 100 % similarity. Cluster II
consited of MASS65 and MASS68 with 100 % similarity (Figure 4.6g).
I
II
Figure 4.6g: Unrooted neighbour joining dendrogram constructed based on IAR and
salt tolerance using UPGMA method showing relatedness clusters I and II of
sesbania rhizobial isolates from Kabale. Numbers on branches are bootstrap % from
1000 replicates.
Isolates from Lushoto were separated into two clusters I and II. Cluster I contained
five isolates which were split into two groups of isolate MASS37a and four isolates
MASS38, MASS29, MASS30 and MASS31a respectively at node with 75 %
similarity. The group with four isolates was again split into two isolates each
(MASS38; MASS29) and (MASS30; MASS31a) at node 38 % similarity with
similarity of 83 and 100 % repectively. Cluster II was again split into two subclusters
with a single isolate (MASS36) on one side and six isolates on ther other side at node
35 %. The six were split into four and two isolates respectively at node with
similarity of 22 % (MASS33, MASS40b, MASS40a and MASS37b) and (MASS31b
and MASS39). The clusters containing isolates MASS33 and MASS40b and isolates
MASS40a and MASS37b were split at node with similarity of 22 %. Isolates
MASS33 and MASS40b; MASS40a and MASS37b; MASS31b and MASS39 had
similarities of 46 %, 33 % and 46 % respectively (Figure 4.6h).
77
I
II
Figure 4.6h: Unrooted neighbour joining dendrogram constructed based on IAR and
salt tolerance using UPGMA method showing relatedness clusters I and II of
sesbania rhizobial isolates from Lushoto. Numbers on branches are bootstrap % from
1000 replicates.
The three S. sesban rhizobial isolates from SUA (Sokoine University of Agriculture)
were grouped into clusters I and II (Figure 4.6i). Cluster I contained isolates
MASS42 and MASS43 (100 % similar) while cluster II had one isolate (MASS41).
78
I
II
Figure 4.6i: Unrooted neighbour joining dendrogram constructed based on IAR and
salt tolerance using UPGMA method showing relatedness clusters I and II of
sesbania rhizobial isolates from SUA. Numbers on branches are bootstrap % from
1000 replicates.
Sesbania rhizobial isolates from Namibia clustered into I‒V (Figure 4.6j). Cluster I
included isolates MN2, MN10, MN31, MN12, MN18, MN39, MN45, MN11, MN62,
MN57, MN13, MN15, MN19, MN40, MN70, MN71, MN1, MN4, MN8, MN28 and
MN58. Isolates MN28 and MN58 with similarity index 45 % were separated from
other isolates in cluster I by a node with 16 % similarity. Two other groups were
separated by a node with 9 % similarity. A subcluster comprising isolates MN2,
MN10, MN31, MN12, MN18, MN39, MN45, MN11, MN62 and MN57 had
similarities varying between 4 and 100 %. The subcluster containing isolates MN13,
MN15, MN19, MN40, MN70, MN71, MN1, MN4 and MN8 had similarities
between 18 and 98 %. Cluster II contained isolates MN9, MN16, MN51, MN25,
MN26, MN24, MN20, MN32, MN60, MN38, MN59, MN43, MN27, MN37, MN17,
MN21 and MN36. The isolates in this cluster had similarities that varied from 2 to
100 % at different nodes. Isolates MN17 and MN21 were 100 % similar. Cluster III
contained a single isolate MN69. Cluster IV comprised of three isolates separated by
a node with 90 % similarity into MN44 and MN68 (62 % similarity) and MN47.
Cluster V comprised of MN50 and MN56 with a node with 26 % similarity (Figure
4.6j).
79
I
II
III
IV
V
Figure 4.6j: Unrooted neighbour joining dendrogram constructed based on
combined IAR and salt tolerance using UPGMA method showing relatedness
clusters I‒V of sesbania rhizobial isolates from Namibia. Numbers on branches are
bootstrap % from 1000 replicates.
A total of 79 test rhizobia from East Africa and Namibia, were selected for
PCR‒RFLP assays. In addition, 17 reference strains were included in the assays, two
of them a S. sesban and common bean inoculant strain each (Table 4.6).
80
Table 4.6: List of sesbania rhizobial isolates and reference strains used for
PCR‒RFLP assay
No. Isolate
No. Isolate
No.
Isolate
No. Isolate
1.
MASS29
25.
MASS117b
49.
MASS172
73.
MN39
2.
MASS30
26.
MASS117c
50.
MASS174
74.
MN44
3.
MASS31a
27.
MASS126
51.
MASS114
75.
MN50
4.
MASS31b
28.
MASS127
52.
BA37
76.
MN51
5.
MASS36
29.
MASS159
53.
MN2
77.
MN56
6.
MASS37a
30.
MASS160
54.
MN4
78.
MN62
7.
MASS37b
31.
MASS168
55.
MASS53
79.
MN71
8.
MASS40a
32.
MASS175
56.
MN9
80.
MASS33
9.
MASS40b
33.
MASS176
57.
MN10
81.
KFR459
10.
MASS41
34.
MASS177a
58.
MN12
82.
USDA9030
11.
MASS42
35.
MASS177b
59.
MN13
83.
KFR84
12.
MASS43
36.
MASS178
60.
MN11
84.
DWO253
13.
MASS47
37.
MASS130
61.
MN17
85.
DWO461
14.
MASS49
38.
MASS132
62.
MN18
86.
USDA1002
15.
MASS51a
39.
MASS133
63.
MN19
87.
ORS177
16.
MASS51b
40.
MASS136
64.
MN34
88.
KFR647
17.
MASS50
41.
MASS137a
65.
MN22
89.
KFR402
18.
MASS57
42.
MASS137b
66.
MN26
90.
KFR8
19.
MASS59
43.
MASS138
67.
MN27
91.
Azorh. sp.
20.
MASS60
44.
MASS140
68.
MN28
92.
KFR552
21.
MASS62
45.
MASS141
69.
MN31
93.
DWO100
22.
MASS65
46.
MASS147
70.
MN35
94.
USDA337
23.
MASS112
47.
MASS170
71.
MN36
95.
USDA76
24.
MASS117a
48.
MASS171
72.
MN38
96.
USDA110
Nos. 1‒51 and 53‒80, sesbania rhizobial isolates; No. 52, common bean inoculant
strain; Nos. 81‒96, reference strains; Azorh. sp., Azorhizobium sp.
81
4.5 Genotype composition of sesbania rhizobia
4.5.1 Estimation of rhizobial 16S rRNA amplicons using gel electrophoresis
The DNA samples extracts from the 79 rhizobial isolates and 17 reference strains had
OD260/280 of 1.78‒2.04. The PCR amplicons of the 16S rRNA gene amplified by
universal primers fD1 and rD1 yielded similar bands of approximately 1500 bp when
quantified on 0.8 % agarose gel (Plate 4.7).
82
M 1 2
3
4
5
6
7
8
9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 M
1500 bp
1000 bp
M 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 M
1500 bp
1000 bp
M 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 M
1500 bp
1000 bp
M 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 M
1500 bp
1000 bp
Plate 4.7: Agarose gel electrophoresis showing amplicon bands of 16S rRNA region.
Lanes 1‒51 sesbania rhizobial isolates, Lane 1, MASS29; 2, MASS30; 3, MASS31a;
4, MASS31b; 5, MASS36; 6, MASS37a; 7, MASS37b; 8, MASS40a; 9, MASS40b;
10, MASS41; 11, MASS42; 12, MASS43; 13, MASS47; 14, MASS49; 15,
MASS51a; 16, MASS51b; 17, MASS50; 18, MASS57; 19, MASS59; 20, MASS60;
21, MASS62; 22, MASS65; 23, MASS112; 24, MASS117a; 25, MASS117b; 26,
MASS117c; 27, MASS126; 28, MASS127; 29, MASS159; 30, MASS160; 31,
MASS168; 32, MASS175; 33, MASS176; 34, MASS177a; 35, MASS177b; 36,
MASS178; 37, MASS130; 38, MASS132; 39, MASS133; 40, MASS136; 41,
MASS137a; 42, MASS137b; 43, MASS138; 44, MASS140; 45, MASS141; 46,
MASS147; 47, MASS170; 48, MASS171; 49, MASS172; 50, MASS174; 51,
MASS114; Lane 52, common bean inoculant strain, BA37; Lanes 53‒80 sesbania
rhizobial isolates; 53, MN2; 54, MN4; 55, MASS53; 56, MN9; 57, M10; 58, MN12;
59, MN13; 60, MN11; 61, MN17; 62, MN18; 63, MN19; 64, MN34; 65, MN22; 66,
MN26; 67, MN27; 68, MN28; 69, MN31; 70, MN35; 71, MN36; 72, MN38; 73,
MN39; 74, MN44; 75, MN50; 76, MN51; 77, MN56; 78, MN62 79, MN71; 80,
MASS33; Lanes 81‒96, reference strains 81, KFR459; 82, USDA9030; 83, KFR84;
84, DWO253; 85, DWO461; 86, USDA1002; 87, ORS177; 88, KFR647; 89,
KFR402; 90, KFR8; 91, Azorhizobium sp.; 92, KFR552; 93, DWO100;
94,USDA337; 95, USDA76; 96, USDA110; M, 100 bp (Invitrogen).
83
4.5.2 Separation of 16S rRNA restriction bands using gel electrophoresis
Digestion of the 16S rRNA amplicons using endonucleases MspI, HinfI and HaeIII,
resulted in specific and unique band patterns for DNA extracts from the 79 test isolates
and 17 reference strains. Restriction using each of the three endonucleases yielded one to
five polymorphic bands (Plates 4.8a, 4.8b and 4.8c). The 50 bp bands were not included
in analysis since most were not clear.
1000 bp
500 bp
250 bp
100 bp
1000 bp
500 bp
250 bp
100 bp
1000 bp
500 bp
250 bp
100 bp
1000 bp
500 bp
250 bp
100 bp
Plate 4.8a: Agarose electrophoresis patterns of 16S rRNA gene region of sesbania
rhizobial isolates generated as a result of restriction digestion using endonuclease
MspI. Samples in lanes 1‒96 are as in Plate 4.7. M, 50 bp marker (Invitrogen).
84
1000 bp
500 bp
250 bp
100 bp
1000 bp
500 bp
250 bp
100 bp
1000 bp
500 bp
250 bp
100 bp
1000 bp
500 bp
250 bp
100 bp
Plate 4.8b: Agarose electrophoresis patterns of 16S rRNA gene region of sesbania
rhizobial isolates generated as a result of restriction digestion using endonuclease
HinfI. Samples in lanes 1‒96 are as in Plate 4.7. M, 50 bp marker (Invitrogen).
1000 bp
500 bp
250 bp
100 bp
1000 bp
500 bp
250 bp
100 bp
1000 bp
500 bp
250 bp
100 bp
1000 bp
500 bp
250 bp
100 bp
Plate 4.8c: Agarose electrophoresis patterns of 16S rRNA gene region of sesbania
rhizobial isolates generated as a result of restriction digestion using endonuclease
HaeIII. Samples in Lanes 1‒96 are as in Plate 4.7. M, 50 bp marker (Invitrogen).
85
4.5.2 Phylogenetic clusters of sesbania rhizobia
The combined data for presence (1) or absence (0) of fragments obtained from
restriction of 96 PCR products of the 16S rRNA using endonucleases (MspI, HinfI
and HaeIII) separated into country of origin and subjected to cluster analysis using
UPGMA by GenAlex statistical program and MEGA version 4 statistical programs
resulted in phylogenetic diversity dendrograms. The mean cophenetic correlation
coefficient was 62.1 % after 1000 bootstrap replications were applied to the analysis
to determine branch support in the consensus trees.
Rhizobia isolated from nodules of S. sesban grown in Kenya were grouped into nine
clusters which comprised of ribotypes I‒IX (Figure 4.7a). Ribotype I contained five
isolates closely affiliated to Rhizobium spp. Type A. Isolate MASS132 had a
similarity of 40 % with R. leguminosarum DWO253 but shared a branch support at 3
% similarity with other Rhizobium reference strains. A cluster of four isolates sharing
the same node at 16 % split into MASS126 and MASS159 with similarity of 84 %
and MASS117a and MASS174 with similarity of 34 %. No S. sesban rhizobial
isolates from Kenya clustered with Bradyrhizobium spp. that formed ribotype II.
Ribotype III was split into two sub-clusters. The first sub-cluster contained isolates
that were unmatched to any of the reference strains and contained two pairs of
isolates with similarity indeces of 44 % (MASS141 and MASS172) and 53 %
(MASS177a and MASS178) repectively but separated by a common branch support
of 23 % similarity. The second sub-cluster of ribotype III was similar to the first subcluster ribotype by a branch support with only 1 % similarity. Two isolates were
clustered in the second sub-cluster and were similar to Sinorhizobium meliloti
USDA1002 by 24 % (MASS170) and 6 % (MASS177b) (Figure 4.7a).
86
I
II
III
IV
V
VI
VII
VIII
IX
Figure 4.7a: Unrooted UPGMA dendrogram showing clusters generated by
combined restriction patterns of amplified 16S rRNA (HinfI+ HinfI + HaeIII) of S.
sesban rhizobia from Kenya and reference strains. Ribotypes are indicated by Roman
numbers I‒IX. Numbers on branches are bootstrap % from 1000 replicates.
87
Agrobacterium sp. shared a branch support at 6 % similarity index with the three
isolates in the second sub-cluster. Two sub-clusters of isolates with a branch support
of 1 % formed ribotype IV. The first sub-cluster contained isolates MASS117b,
MASS168, MASS137b, MASS133 and MASS140 with varying similarities of
between 1 % and 48 %. The second sub-cluster comprised of MASS138 which was
similar to Azorhizobium sp. by 24 %. The unmatched ribotype V contained isolate
MASS112 by a bootstrap of 44 % to MASS175 and similar to MASS136 by 12 %.
Isolates MASS171, MASS147, MASS130 and MASS137a were all grouped in
ribotype VI with varying similarities between 5 % and 56 % and were clustered
together with Mesorhizobium spp. Ribotype VII contained MASS127 which was
similar to Rhizobium spp. Type B with a similarity of 4 %. Ribotype VIII consisted
of three isolates that were not matched to any of the reference strains. Isolate
MASS117c was similar to MASS160 by a bootstrap of 81 % while MASS176 had a
bootstrap of 31 %. Ribotype IX had a single isolate (MASS114) that was unmatched
to any of the reference strains used in the present study (Figure 4.7a).
The highest percentage of isolates (20.70 %) was in ribotype III and IV (Table 4.7a).
No rhizobial isolate from the Kenyan sites clustered with Bradyrhizobium spp.
Bumala isolates were clustered with all ribotypes except VI. Isolates MASS117a,
MASS117b and MASS117c from a single nodule collected from Gituamba site were
grouped into ribotypes I, IV and VIII respectively. Isolate MASS137a and
MASS137b (Kavutiri) clustered into ribotypes VI and IV respectively. Dual isolates
MASS177a and MASS177b were both grouped with III (Table 4.7a).
88
Table 4.7a: Sesbania sesban rhizobial isolates from Kenya clustered using UPGMA
based on combined patterns of 16S rRNA PCR‒RFLP (MspI, HinfI and HaeIII)
compared to reference strains
Ribotype
Reference
Sesbania sesban rhizobial isolate %
clusters
ribotype
I
Rhizobium spp. Type A
MASS126 (BK), MASS159 (BK),
MASS117a (GK), MASS174 (BK), 17.20
MASS132 (KvK).
II
Bradyrhizobium spp.
III
Agrobacterium spp./
Sinorhizobium spp.
MASS141 (KvK), MASS172 (KuK),
MASS177a (BK), MASS178 (BK), 20.70
MASS170 (KuK), MASS177b (BK).
IV
Azorhizobium spp.
MASS117b (GK), MASS168 (BK),
MASS137b (KvK), MASS133 (KvK), 20.70
MASS140 (KvK).
V
Unmatched
MASS112 (GK), MASS175 (BK), 10.30
MASS136 (KvK).
VI
Mesorhizobium spp.
MASS130 (KvK), MASS137a (KvK),
MASS147 (KvK), MASS171 (KuK).
-
0.00
VII
Rhizobium spp. Type B
MASS127 (BK).
VIII
Unmatched
MASS117c (GK), MASS160 (BK),
MASS176 (BK).
IX
Unmatched
MASS114 (GK).
13.80
3.50
10.30
3.50
Sites of nodule collection, KuK, Kuinet; KvK, Kavutiri; GK, Gituamba; BK,
Bumala; GK, Gituamba. (All in Kenya).
Rhizobial isolates from Uganda formed two clusters (I and II) (Figure 4.7b). Cluster I
comprised of Bradyrhizobium
spp.,
Rhizobium
spp.,
Sinorhizobium
spp.,
Azorhizobium sp. and isolates MASS60, MASS51a and MASS53. Isolate MASS60
was similar to R. leguminosarum DWO253 by 33 % similarity index and with S.
meliloti USDA1002 by 6 %. Isolate MASS51a and MASS53 had a similarity of 39 %
and shared the same branch support with R. tropici USDA9030 and R. tropici IIB
DWO461 at a similarity of 6 %.
89
I
II
Figure 4.7b: Unrooted UPGMA dendrogram showing clusters generated by
combined restriction patterns of amplified 16S rRNA (HinfI+ HinfI + HaeIII) of S.
sesban rhizobial isolates from Uganda and reference strains. Ribotypes are indicated
by Roman numbers I‒II. Numbers on branches are bootstrap % from 1000 replicates.
90
The isolates MASS47, MASS51b, MASS57, MASS59, MASS62 and MASS65 with
similarity between 5 % and 99 % shared a branch support at 1 % with
Mesorhizobium spp. Isolate MASS49 was similar by 35 % to Agrobacterium sp.
Type I KFR459 which also shared a branch support with Mesorhizobium spp. at 2 %
similarity index (Figure 4.7b).
Ribotype I contained isolates MASS51a (Tororo), MASS53 (Tororo) and MASS60
(Mbale) which were closer to Rhizobium spp. Type A than Bradyrhizobium spp.
(Table 4.7b). Isolates MASS47, MASS50, MASS51b and MASS49 from Tororo
(Uganda), MASS57 and MASS59 from Mbale (Uganda), MASS62 and MASS65
from Kabale (Uganda) were in one cluster with Mesorhizobium spp. and
Agrobacterium sp. and accounted for 72.70 % of all isolates.
Table 4.7b: Sesbania sesban rhizobial isolates from Uganda clustered using
UPGMA based on combined patterns of 16S rRNA PCR‒RFLP (MspI, HinfI and
HaeIII) compared to reference strains
Ribotype
Reference
strains
rhizobial Sesbania sesban rhizobial isolate %
clusters
ribo‒
type
I
Bradyrhizobium spp./
Rhizobium spp. Type A
MASS51a (TU), MASS53 (TU), 27.30
MASS60 (MU).
II
Mesorhizobium spp./
Agrobacterium spp.
MASS47 (TU), MASS50 (TU), 72.70
MASS51b (TU), MASS57 (MU),
MASS59 (MU), MASS62 (KU),
MASS65 (KU), MASS49 (TU).
Sites of nodule collection in parenthesis, TU, Tororo; KU, Kabale; MU, Mbale. (All
in Uganda).
Rhizobial isolates from nodules of S. sesban grown in Tanzania were grouped into
four clusters of ribotypes I‒IV (Figure 4.7c). Cluster I comprised of Bradyrhizobium
91
spp. and was supported by a branch with similarity of 5 % with MASS42,
Sinorhizobium meliloti USDA1002 and Agrobacterium Type I KFR459.
I
II
III
IV
Figure 4.7c: Unrooted UPGMA dendrogram showing clusters generated by
combined restriction patterns of amplified 16S rRNA (HinfI+ HinfI + HaeIII) of S.
sesban rhizobial isolates from Tanzania and reference strains. Ribotypes are
indicated by Roman numbers I‒IV. Numbers on branches are bootstrap % from 1000
replicates.
92
Isolate MASS42 was closely clustered with S. meliloti USDA1002 with a similarity
of 19 % than with Agrobacterium Type I KFR459 with 5 % similarity. Cluster II was
composed of MASS31b and MASS40b with a similarity of 49 % and shared a branch
support of 4 % with Rhizobium spp. Isolates MASS30 and MASS31a (100 %
similar) and were grouped in cluster III together with Mesorhizobium spp. Isolate
MASS33 shared one node with Mesorhizobium spp. with a similarity of 45 %.
Rhizobium spp. shared a branch support with Mesorhizobium spp. at a similarity of
10 % while isolates MASS37a and MASS37b had a similarity of 33 % and shared
the same branch support at similarity of 14 % with MASS29 in cluster III.
Mesorhizobium spp. and Rhizobium spp. shared a branch support with isolates
MASS37a, MASS37b and MASS29 at 2 % similarity. Cluster IV comprised of
isolates MASS36, MASS40a, MASS41 and MASS43 which shared a branch support
at 5 % with Azorhizobium sp. Isolates MASS41 and MASS43 had a similarity of 93
% while MASS36 and MASS40a had a similarity of 65 %. The two set of isolates of
cluster IV shared a similarity branch support at 32 % (Figures 4.6c).
A S. sesban rhizobial isolate MASS42 collected from SUA (Tanzania) clustered in
ribotype I while isolates MASS41 and MASS43 from the same site clustered in
ribotype IV (Table 4.7c). Rhizobial isolates from Lushoto clustered in ribotype II and
IV. Two pairs of nodule co‒occupants recovered from Lushoto segregated separately
into different ribotypes i.e. MASS31b (II) and MASS31a (III), MASS40b (II) and
MASS40a (IV). Nodule co‒occupants MASS37a and MASS37b were both clustered
in ribotype III. Ribotype III had the highest percentage (46.10 %) of rhizobial
isolates and comprised of isolates from Lushoto only. No isolate clustered with
ribotype I.
93
Table 4.7c: Sesbania sesban rhizobial isolates from Tanzania clustered using
UPGMA based on combined patterns of 16S rRNA PCR‒RFLP (MspI, HinfI and
HaeIII) compared to reference strains
Reference rhizobial
strains
Sesbania sesban rhizobial isolate % ribo‒
clusters
type
Bradyrhizobium spp.
-
0.00
I
Sinorhizobium spp./
Agrobacterium spp.
MASS42 (SUAT).
7.70
II
Rhizobium spp. Type A
MASS31b (LT), MASS40b (LT).
III
Mesorhizobium spp./
Rhizobium spp. Type B
MASS29 (LT), MASS30 (LT), 46.10
MASS31a (LT), MASS33 (LT),
MASS37a (LT), MASS37b (LT).
IV
Azorhizobium spp.
MASS36 (LT), MASS40a (LT), 30.80
MASS41 (SUAT), MASS43
(SUAT).
Ribotype
15.40
Sites of nodule collection in parenthesis, LT, Lushoto; SUAT, Sokoine University of
Agriculture. (All in Tanzania).
Rhizobia from Namibia were clustered into ten groups (I-X) (Figure 4.7d). Cluster I
comprised of MN17, MN9, MN28, MN12 and Bradyrhizobium spp. Isolate MN17
had 83 % similarity with Bradyrhizobium sp. ORS177 and shared a branch support
of 26 % with MN9 and MN28 which had a similarity of 41 %. Isolate MN12 shared
a 7 % branch support with the Bradyrhizobium spp. Isolate MN34 was similar to the
Rhizobium spp. by a similarity of 38 % in cluster II. Cluster III with three isolates
MN51, MN50 and MN71 were similar to Mesorhizobium sp. Type II KFR84 by 13
%, 27 % and 37 % respectively. Cluster IV comprised of isolate MN56 which was
similar by 46 % to S. meliloti USDA1002. Cluster V contained isolates MN18,
MN19, MN35, MN36 and MN39 which did not match with the reference strains and
had similarity indices of between 1 % and 31 %. Cluster VI had one isolate MN38
which had a similarity of 71 % with R. tropici IIB DWO461.
94
I
II
III
IV
V
VI
VII
VIII
IX
X
Figure 4.7d: Unrooted UPGMA dendrogram showing clusters generated by
combined restriction patterns of amplified 16S rRNA (HinfI+ HinfI + HaeIII) of
sesbania rhizobial isolates from Namibia and reference strains. Ribotypes are
indicated by Roman numbers I‒X. Numbers on branches are bootstrap % from 1000
replicates.
95
Isolates MN10, MN22 and MN2 in cluster VII had a similarity of 49 % and shared a
branch support with Mesorhizobium spp. at a similarity of 12 % (Figure 4.6d). The
isolates in cluster VIII comprised MN4, MN31, MN11 and MN13 which did not
match with the reference strains and had similarity of between 1 % and 31 %. The
two isolates in cluster IX were both similar to each other by 30 % and to
Agrobacterium sp. Type I KFR459 by 30 %. Cluster X comprised of isolates MN26,
MN27 and Azorhizobium sp. MN26 was similar to MN27 by 36 % and were both
similar to Azorhizobium sp. by 6 %.
Sesbania rhizobial isolates recovered from Namibia were not ribotype specific apart
from isolates from Khorixas Outijo (MN26, MN27) which entirely formed ribotype
X and MN39 in ribotype V (Table 4.7d). Isolates MN9, MN51 and MN44 from
Swakop were distributed in ribotypes I, III and IX respectively. Five isolates MN50,
MN56, MN36, MN4 and MN62 from Rio Tinto Gorge were distributed in ribotypes
III, IV, V, VIII and IX respectively. Isolates from Epupa falls were distributed in
ribotypes V (MN18, MN19 and MN35), VI (MN38), VII (MN22) and VIII (MN13).
Isolates MN28 and MN31 from Suclabo were clustered in ribotypes I and VIII
respectively. Isolates MN17 in ribotype I, MN34 in ribotype II and MN11 in ribotype
VIII were all isolated from sesbania root nodules collected from Omuramba. Both
isolates MN2 and MN10 from Rooidrom were grouped into ribotype VII. Isolates
MN12 and MN71 from Sesfontein were distributed in ribotypes I and III
respectively. Ribotype V had the highest percent (19.30 %) of isolates while
ribotypes II, IV and VI had the lowest percent (3.80 %) of isolates (Table 4.7d).
96
Table 4.7d: Sesbania spp. rhizobial isolates from Namibia clustered using UPGMA
based on combined patterns of 16S rRNA PCR‒RFLP (MspI, HinfI and HaeIII)
compared to reference strains
Ribo-
Reference strains
Sesbania isolate clusters
type
%
ribo‒
type
I
Bradyrhizobium spp.
MN9 (Nb), MN12 (Nh), MN17 (Nf), 15.40
MN28 (Ne).
II
Rhizobium spp.
MN34 (Nf).
3.80
Type B
III
Mesorhizobium spp.
Type A
MN50 (Nc), MN51 (Nb), MN71 (Nh).
11.60
IV
Sinorhizobium spp.
MN56 (Nc).
V
Unmatched
MN18 (Nd), MN19 (Nd), MN35 (Nd), 19.30
MN36 (Nc), MN39 (Na).
VI
Rhizobium spp.
MN38 (Nd).
3.80
3.80
Type A
VII
Mesorhizobium spp.
Type B
MN2 (Ng), MN10 (Ng), MN22 (Nd).
11.60
VIII
Unmatched
MN4 (Nc), MN11 (Nf), MN13 (Nd), 15.40
MN31 (Ne).
IX
Agrobacterium spp.
MN44 (Nb), MN62 (Nc).
7.70
X
Azorhizobium spp.
MN26 (Na), MN27 (Na).
7.70
Sites of nodule collection in parenthesis, Na, Khorixas Outijo; Nb, Swakop; Nc, Rio
Tinto Gorge; Nd, Epupa falls; Ne, Suclabo; Nf, Omuramba; Ng, Rooidrom; Nh,
Sesfontein. (All in Namibia).
4.6 Symbiotic efficiency test of sesbania rhizobia on Sesbania sesban plants
using Leonard jars in the greenhouse
Eighty three percent (83 %) of the 79 sesbania rhizobial isolates formed nodules on
roots of S. sesban. Leaf colour of the eight-week old S. sesban plants varied from
dark green to yellow. The most effective isolates caused dark green colour akin to the
97
Plus N treatment plants while the non-effective isolates caused yellow plants as those
of Minus N treatment (Plate 4.9).
A
B
C
D
Plate 4.9: Eight week-old S. sesban plants inoculated with sesbania rhizobial isolates
(A, MN8; B, KFR647); C, Plus N treatment (70 ppm N) (control) and D, Minus N
treatment (control).
The nodules formed by all the isolates were morphologically similar but differed in
symbiotic effectiveness. Cross-sections of nodules formed by effective isolates on
roots of S. sesban were pink (Leghemoglobin present). Nodules formed by
ineffective isolates were pale to white on their cross-sections (Leghemoglobin
absent) (Plate 4.10). Nodules on roots of S. sesban were either oval or spherical with
smooth surfaces.
98
A
B
1 cm
Plate 4.10: Transverse section of nodules formed by sesbania isolates on S. sesban.
A, Leghemoglobin present; B, Leghemoglobin absent.
Shoot dry weight of S. sesban caused by inoculation using sesbania rhizobia ranged
between 0.06 g (isolate MN17) and 1.06 g (isolate MASS172) (Table 4.8). Apart
from MN19 (S. macowaniana) which caused a mean shoot dry weight of 0.79 g,
fifteen S. sesban isolates recorded higher shoot dry weight compared to 0.36 g Minus
N treatments (Control) of between 0.66 g (MASS177b) and 1.06 g (MASS172).
Nodule dry weight ranged between 1.0 mg (MASS177a) and 94.0 mg (MASS125)
while nodule number per plant ranged between 1 (MASS50) and 36 (MASS31a)
(Table 4.8). Rhizobia included in this experiment from legumes other than sesbania
[strains BA37 and DWO253 (Phaseolus vulgaris), KFR269 (Siratro) and KFR209
(Faidherbia albida)] also elicited nodules on roots of S. sesban. Plus N
(uninoculated) treatments had a mean dry weight of 0.98 g while non-inoculated
Minus N (control) treatments had 0.36 g. Both control treatments did not nodulate.
99
Table 4.8: Effect of sesbania rhizobial isolates from Kenya, Uganda, Tanzania and
Namibia on shoot dry weight, nodule dry weight and nodule number of S. sesban
Isolate‒Origin
SDWt. (g)
NDWt. (mg)
NNo.
MASS170 Sesbania sesban
0.36±0.13
34.00±15.00
11.00±4.00
MASS171 S. sesban
0.75±0.06
64.00±14.00
24.00±4.00
MASS172 S. sesban
1.06±0.10
91.00±12.00
23.00±4.00
MASS173 S. sesban
0.44±0.05
53.00±10.00
21.00±4.00
MASS174 S. sesban
0.20±0.04
24.00±11.00
3.00±2.00
MASS129 S. sesban
0.89±0.17
84.00±20.00
23.00±4.00
MASS130 S. sesban
0.72±0.13
58.00±26.00
14.00±3.00
MASS133 S. sesban
0.21±0.06
31.00±19.00
3.00±1.00
MASS134 S. sesban
0.79±0.18
72.00±14.00
20.00±3.00
MASS136 S. sesban
0.09±0.03
16.00±7.00
20.00±7.00
0.12±0.04
14.00±4.00
6.00±2.00
MASS138 S. sesban
0.20±0.03
21.00±3.00
18.00±3.00
MASS141 S. sesban
0.61±0.10
62.00±15.00
15.00±2.00
MASS147S. sesban
0.82±0.22
87.00±11.00
29.00±5.00
MASS149 S. sesban
0.25±0.03
7.00±3.00
2.00±1.00
MASS110 S. sesban
0.57±0.18
78.00±12.00
21.00±5.00
MASS111 S. sesban
0.72±0.08
73.00±13.00
29.00±4.00
MASS114 S. sesban
0.37±0.07
33.00±8.00
11.00±2.00
MASS115 S. sesban
0.38±0.06
39.00±8.00
14.00±2.00
MASS117a S. sesban
0.16±0.08
19.00±1.00
5.00±4.00
MASS117b S. sesban
0.16±0.05
3.00±1.00
1.00±0.00
MASS117c S. sesban
0.40±0.08
51.00±13.00
18.00±3.00
MASS117abc S. sesban
0.34±0.11
26.00±15.50
11.00±6.00
MASS123 S. sesban
0.33±0.06
44.00±9.00
21.00±3.00
MASS125 S. sesban
0.60±0.14
94.00±16.0
19.00±5.00
MASS126 S. sesban
0.14±0.02
9.00±3.00
2.00±1.00
MASS160 S. sesban
0.31±0.04
35.00±8.00
11.00±3.00
MASS168 S. sesban
0.15±0.06
23.00±16.00
10.00±5.00
MASS177a S. sesban
0.10±0.02
1.00±0.20
5.00±2.00
Kuinet (Kenya)
Kavutiri (Kenya)
MASS137b S. sesban
.
Gituamba (Kenya)
Bumala (Kenya)
100
MASS177b S. sesban
0.66±0.12
67.00±22.00
21.00±5.00
MASS178 S. sesban
0.24±0.03
20.00±16.00
6.00±3.00
MASS29 S. sesban
0.11±0.02
14.00±3.00
10.00±2.00
MASS30 S. sesban
0.32±0.05
27.00±6.00
11.00±3.00
MASS31a S. sesban
0.47±0.08
59.00±13.00
36.00±5.00
MASS31b S. sesban
0.09±0.02
1.00±0.10
1.00±1.00
MASS33 S. sesban
0.09±0.03
2.00±0.70
1.00±1.00
MASS36 S. sesban
0.10±0.02
12.00±3.00
6.00±1.00
MASS37a S. sesban
0.07±0.02
8.00±2.00
8.00±2.00
MASS37b S. sesban
0.30±0.08
30.00±11.00
15.00±3.00
MASS38 S. sesban
0.22±0.05
17.00±5.00
12.00±6.00
MASS39 S. sesban
0.68±0.03
64.00±8.00
24.00±5.00
MASS40b S. sesban
0.35±0.10
50.00±15.00
13.00±3.00
MASS42 S. sesban
0.13±0.02
6.00±3.00
2.00±1.00
MASS41 S. sesban
0.38±0.05
36.00±5.00
13.00±1.00
MASS43 S. sesban
0.28±0.05
29.00±5.00
15.00±2.00
MASS47 S. sesban
0.33±0.05
39.00±10.00
17.00±4.00
MASS48 S. sesban
0.16±0.03
4.00±2.00
3.00±1.00
MASS49 S. sesban
0.22±0.04
19.00±9.00
4.00±2.00
MASS50ab S. sesban
0.08±0.03
1.00±0.30
1.00±1.00
MASS50b S. sesban
0.45±0.07
47.00±11.00
13.00±4.00
MASS51a S. sesban
0.15±0.03
10.00±5.00
4.00±2.00
MASS51abc S. sesban
0.14±0.02
4.00±1.00
4.00±1.00
MASS51c S. sesban
0.18±0.02
9.00±6.00
2.00±1.00
MASS53 S. sesban
0.33±0.06
42.00±8.00
19.00±4.00
MASS62 S. sesban
0.42±0.07
63.00±12.00
20.00±3.00
MASS65 S. sesban
0.17±0.03
12.00±6.00
3.00±2.00
MASS69 S. sesban
0.46±0.18
50.00±7.00
19.00±3.00
MASS54 S. sesban
0.35±0.05
33.00±5.00
15.00±4.00
MASS57 S. sesban
0.24±0.06
43.00±21.00
6.00±4.00
MASS59 S. sesban
0.83±0.18
71.00±17.00
27.00±5.00
Lushoto (Tanzania)
SUA (Tanzania)
Tororo (Uganda)
Kabale (Uganda)
Mbale (Uganda)
101
MASS60 S. sesban
0.16±0.04
15.00±5.00
3.00±2.00
MASS61 S. sesban
0.74±0.12
61.00±8.00
19.00±3.00
MN1Sesbania macowaniana
0.14±0.04
20.00±8.00
8.00±2.00
MN2 S. sphaerosperma
0.13±0.04
12.00±6.00
4.00±2.00
MN8 S. sesban
0.78±0.12
73.00±9.00
30.00±4.00
MN10 S. sphaerosperma
0.22±0.05
48.00±35.00
5.00±3.00
MN11 S. sphaerosperma
0.21±0.06
25.00±10.0
26.00±3.00
MN12 S. sphaerosperma
0.27±0.04
18.00±7.00
10.00±4.00
MN13 S. sesban
0.06±0.02
16.00±0.20
1.00±1.00
MN17 S. bispinosa
0.06±0.01
6.00±1.00
10.00±1.00
MN18 S. sesban
0.84±0.19
75.00±18.00
25.00±5.00
MN19 S. macowaniana
0.79±0.12
65.00±7.00
21.00±2.00
MN21 S. sesban
0.16±0.04
18.00±9.00
4.00±3.00
MN22 S. macowaniana
0.18±0.03
12.00±9.00
6.00±3.00
MN28 S. cinerascens
0.06±0.01
8.00±1.00
14.00±2.00
MN31 S. cinerascens
0.17±0.02
24.00±5.00
23.00±6.00
MN39 S. macowaniana
0.14±0.03
2.00±1.00
2.00±1.00
MN40 S. cinerascens
0.37±0.10
34.00±10.00
9.00±3.00
MN44 S. pachycarpa
0.32±0.06
43.00±19.00
7.00±3.00
MN45 S. pachycarpa
0.15±0.02
14.00±4.00
7.00±2.00
MN49 S. pachycarpa
0.28±0.06
29.00±5.00
11.00±3.00
MN50 S. pachycarpa
0.18±0.02
18.00±3.00
20.00±4.00
MN51 S. pachycarpa
0.23±0.01
28.00±2.00
24.00±3.00
MN57 S. sesban
0.59±0.13
43.00±11.00
14.00±3.00
MN58 S. pachycarpa
0.32±0.41
20.00±15.00
4.00±1.00
MN62 S. pachycarpa
0.13±0.02
9.00±8.00
2.00±2.00
MN68 S. sesban
0.93±0.14
54.00±10.00
32.00±6.00
MN69 S. microphylla
0.19±0.03
22.00±5.00
19.00±3.00
MN70 S. microphylla
0.13±0.01
19.00±1.00
31.00±3.00
MN71 S. microphylla
0.15±0.04
10.00±6.00
3.00±1.00
DWO253 Phaseolus vulgaris
0.21±0.02
18.00±4.00
11.00±5.00
KFR269 Siratro
0.59±0.03
72.00±17.00
25.00±5.00
Namibia
Reference strains
Kibwezi (Kenya)
Loruk (Kenya)
102
KFR209 Faidherbia albida
0.60±0.17
52.00±12.00
16.00±3.00
BA37 P. vulgaris
0.16±0.07
15.00±3.00
28.00±3.00
KFR647 S. sesban
0.60±0.19
60.00±11.00
22.00±3.00
KFR402 S. sesban
0.70±0.04
85.00±12.00
20.00±3.00
0 ppm N
0.36±0.17
-
0
70 ppm N
0.98±0.21
-
0
Nyamonye (Kenya)
Controls
SDWt., shoot dry weight; NDWt., nodule dry weight; NNo., nodule number; Sokoine
University of Agriculture Tanzania. Values represent the mean ± SD of eight
replicates.
Ten of the 13 isolates from Kavutiri elicited nodules on roots of S. sesban but only
five had effective nodules (nod+nif+ phenotypes) (Table 4.9a). All isolates from
Kuinet nodulated S. sesban, but only two exhibited nod+nif+ phenotypes. Eight of
the 12 isolates from Bumala had nod+ but only two had nod+nif+ phenotypes. All
isolates from Gituamba nodulated S. sesban, two of the isolates (MASS110 and
MASS111) were effective while one of the isolates (MASS117c) was partially
effective. A pair of nodule co‒occupants were isolated each from S. sesban growing
in Kavutiri and Bumala while triple isolates co‒occupied a nodule collected from
Gituamba. The co‒occupant isolates included MASS137a and MASS137b
(Kavutiri), MASS177a and MASS177b (Bumala) and MASS117a, MASS117b and
MASS117c (Gituamba). Co‒occupant isolates MASS137a and MASS137b of
nodules
collected
from
Kavutiri
site
were
non‒infective
(nod˗)
and
infective/ineffective (nod+nif˗) phenotypes respectively. The Bumala isolate
MASS177a was nod+nif˗ while its nodule co‒occupant MASS177b was both
infective and effective (nod+nif+) phenotype. The three Gituamba nodule
co‒occupant isolates were of phenotypes nod+nif˗ (MASS117a and MASS117b) and
partially effective (nod+nif+/˗) phenotype (MASS117c).
103
Table 4.9a: Nodulation and nitrogen fixation phenotypes of Sesbania sesban
rhizobial isolates from Kenya on S. sesban
Site
nod˗
nod+ nif˗
nod+nif+/˗
nod+ nif+
Kavutiri
MASS131
MASS137a
MASS133
MASS136
MASS137b
MASS138
‒
MASS129
MASS130
MASS134
MASS141
MASS137ab
MASS140
Kuinet
Bumala
Gituamba
‒
MASS127
MASS157
MASS167
MASS176
MASS177ab
‒
MASS149
MASS147
MASS170
MASS173
MASS174
‒
MASS171
MASS172
MASS123
MASS126
MASS160
‒
MASS125
MASS177b
MASS117c
MASS110
MASS111
MASS168
MASS177a
MASS178
MASS114
MASS115
MASS117a
MASS117b
MASS117abc
nod˗, non‒infective; nod+, infective; nif˗, ineffective; nif+/˗, partially effective; nif+,
effective.
Two isolates from Kabale (Uganda) were partially effective on S. sesban; one was
ineffective while one failed to nodulate S. sesban (Table 4.9b). Similarly, isolates
MASS50b and MASS53 from Tororo were partially effective; five isolates
(MASS47, MASS48, MASS49, MASS51a and MASS51c) were ineffective while
three isolates (MASS50a, MASS51b and MASS52) were non‒infective on S. sesban.
Mixed isolates from single nodules (MASS50ab and MASS51abc) were
non‒effective on their host of origin. Two isolates (MASS59 and MASS61)
recovered from nodules from Mbale were effective on S. sesban while MASS54
isolate was partially effective.
104
Table 4.9b: Nodulation and nitrogen fixation phenotypes of Sesbania sesban
rhizobial isolates from Uganda on S. sesban
Site
nod˗
nod+nif˗
nod+nif+/˗
nod+nif+
Kabale
MASS68
MASS65
MASS62
‒
MASS69
Tororo
MASS50a
MASS51b
MASS47
MASS52
MASS49
MASS48
MASS50b
MASS53
‒
MASS54
MASS59
MASS50ab
MASS51a
MASS51c
MASS51abc
Mbale
‒
MASS57
MASS60
MASS61
nod˗, non‒infective; nod+, infective; nif˗, ineffective; nif+/˗, partially effective; nif+,
effective.
Three isolates from SUA formed nodules on the host of origin but only MASS41 was
partially effective (Table 4.9c). Eleven of the twelve isolates from Lushoto formed
nodules on S. sesban. Isolate MASS39 was effective while MASS31a and MASS40b
were partially effective. Mixed isolates from single nodules (MASS37ab and
MASS40ab) were ineffective on S. sesban.
105
Table 4.9c: Nodulation and nitrogen fixation phenotypes of Sesbania sesban
rhizobial isolates from Tanzania on S. sesban
Site
nod˗
nod+nif˗
nod+nif+/˗
nod+nif+
SUA
‒
MASS42
MASS41
‒
MASS39
MASS43
Lushoto
MASS37ab
MASS29
MASS31a
MASS40a
MASS30
MASS40b
MASS40ab
MASS31b
MASS33
MASS36
MASS37a
MASS37b
MASS38
nod˗, non‒infective; nod+, infective; nif˗, ineffective; nif+/˗, partially effective; nif+,
effective.
Five isolates from nodule collection sites in Namibia did not form nodules on S.
sesban (Table 4.9d). Twenty one isolates formed ineffective nodules. Two isolates
(MN44 and MN49) from Swakop were partially effective on S. sesban. Four isolates
(MN8, MN18, MN19 and MN57) from Epupa falls and a single isolate (MN68) from
Otjinungua were effective on S. sesban.
106
Table 4.9d: Nodulation and nitrogen fixation phenotypes of sesbania rhizobial
isolates from Namibia on S. sesban
Site
Khorixas Outijo
Swakop
nod˗
‒
MN9
nod+nif˗
nod+nif+/˗
nod+nif+
MN39
‒
‒
MN51
MN44
‒
MN49
Rio Tinto Gorge
MN54
MN45
MN56
MN58
‒
‒
MN62
Epupa falls
‒
MN13
‒
MN8
MN21
MN18
MN22
MN19
MN57
Suclabo
MN37
MN28
‒
‒
‒
‒
‒
‒
‒
‒
‒
MN31
MN40
Omuramba
‒
MN11
MN17
Rooidrom
‒
MN2
MN10
Sesfontein
‒
MN12
MN71
Okahandja
Otjinungua
Bunya
MN15
MN1
‒
‒
‒
‒
MN69
‒
‒
‒
‒
‒
MN68
MN70
Korokoko
‒
MN50
nod˗, non‒infective; nod+, infective; nif˗, ineffective; nif+/˗, partially effective; nif+,
effective.
All the reference strains (KFR209, DWO253, KFR269, KFR647 and KFR402) used
in S. sesban nodulation test were effective except the common bean inoculant strain,
BA37 which was infective but ineffective (Table 4.9e).
107
Table 4.9e: Nodulation and nitrogen fixation phenotypes of reference strains on S.
sesban
Site
nod˗
nod+nif˗
nod+nif+/˗
nod+nif+
Gituamba
‒
BA37
‒
‒
(P. vulgaris)
Loruk
‒
‒
‒
KFR209 (F. albida)
Kibwezi
‒
‒
‒
DWO253 (P. vulgaris),
KFR269 (Siratro)
‒
‒
‒
KFR647 (S. sesban)
Nyamonye ‒
‒
‒
KFR402 (S. sesban)
Yala
swamp
nod˗, non‒infective; nod+, infective; nif˗, ineffective; nif+/˗, partially effective; nif+,
effective.
There were significant differences (p < 0.001) in mean percent nitrogen and nitrogen
content per shoot of S. sesban inoculated using selected rhizobia from various
legume hosts (Table 4.10). The lowest percent nitrogen was 1.35 (isolate MASS134)
while the highest was 7.9 (isolate MN19). Common bean inoculant strain (BA37)
caused the lowest nitrogen content per shoot (0.16 mg shoot-1) while isolate
MASS129 caused the highest (5.66 mg shoot-1). Nitrogen fixation ratio varied from
˗0.28 (BA37) to 5.23 (isolate MASS129). The symbiotic effectiveness of selected
rhizobia on S. sesban also varied with the rhizobial isolate used. Three isolates were
ineffective, twenty effective and three highly effective.
108
Table 4.10: Effect of some sesbania rhizobial isolates on percent nitrogen, N content, N
fixation ratio and the symbiotic effectiveness of S. sesban
Isolate/Origin
% N shoot ‒1
N content
(mg) shoot‒1
N fixation
SE
ratio
Kuinet (Kenya)
MASS171 S. sesban
4.08±0.18fg
4.15±0.49de
3.71
E
MASS172 S. sesban
1.87±0.23ab
1.99±0.31b-e
1.56
HE
MASS129 S. sesban
5.65±0.67h
5.66±0.64e
5.23
HE
MASS130 S. sesban
5.56±0.11h
2.78±0.29a-e
4.54
E
MASS134 S. sesban
1.35±0.10a
1.03±0.56abc
0.14
E
MASS141 S. sesban
4.09±0.13fg
2.43±0.32abc
1.99
E
MASS147S. sesban
4.00±0.42fg
3.10±0.49a-e
2.66
E
MASS110 S. sesban
2.12±0.20abc
1.11±0.24a-d
0.68
E
MASS111 S. sesban
2.12±0.15abc
1.52±0.17ab
0.64
E
MASS125 S. sesban
5.41±0.23h
2.00±0.41b-e
1.57
E
MASS177b S. sesban
3.22±0.12c‒f
2.03±0.07a-e
1.59
E
1.98±0.18ab
1.35±0.10ab
0.46
E
MASS62 S. sesban
3.39±0.03ef
1.13±0.26ab
0.70
I
MASS69 S. sesban
2.36±0.09a‒e
1.52±0.19abc
1.08
I
MASS59 S. sesban
2.25±0.13a‒d
1.86±0.36abc
1.62
E
MASS61 S. sesban
1.37±0.08a
1.01±0.01ab
0.13
E
MN8 S. sesban
5.46±0.17h
4.01±0.40cde
3.58
E
MN18 S. sesban
2.96±0.18b‒f
2.47±0.32a-e
1.59
E
MN19 S. macowaniana
7.90±1.02i
4.14±0.02a-d
3.71
E
MN57 S. sesban
3.88±0.20fg
3.80±0.41b-e
3.36
E
MN68 S. sesban
3.35±0.28def
2.71±0.12a-e
2.28
HE
1.66±0.14a
0.97±0.14ab
0.09
E
Kavutiri (Kenya)
Gituamba (Kenya)
Bumala (Kenya)
Lushoto (Tanzania)
MASS39 S. sesban
Kabale (Uganda)
Mbale (Uganda)
Namibia
Reference strains
Kibwezi (Kenya)
KFR269 Siratro
109
Loruk (Kenya)
KFR209 Faidherbia
albida
4.54±1.15gh
1.74±0.26a-e
1.31
E
BA37 P. vulgaris
2.04±0.19ab
0.16±0.03a
˗0.28
I
KFR647 S. sesban
3.23±0.20c‒f
2.19±0.16a-d
1.76
E
KFR402 S. sesban
2.20±0.20abc
1.20±0.21abc
0.77
E
0 ppm N
2.45±0.10a‒e
0.43±0.05a
0.00
‒
70 ppm N
3.93±0.15fg
3.70±0.39b-e
0.00
‒
Nyamonye (Kenya)
Controls
Means within a column followed by the same letter(s) are not significant different
according to Tukey HSD at 5 %. Values are means of four replicates ± standard
errors. SE (%), symbiotic effectiveness; I, ineffective; E, effective; HE, highly
effective.
Rhizobial isolates MN57, MN8, MN19, MASS171, MASS130, MASS129 and
MASS172, recovered from sesbania had a higher SE on S. sesban compared to plus
N control (Figure 4.8). Isolate MASS172 had the highest SE compared to all other
isolates used in this study.
110
Figure 4.8: Effectiveness of some selected sesbania rhizobial isolates on S. sesban
plants. Error bars with 5 %.
4.6.1 Correlation among shoot dry weight, nodule number, nodule dry weight,
nitrogen concentration and SE of S. sesban plants
There was no correlation (r2 = 0.191, p =0.097) between the number of nodules per S.
sesban plant and the respective shoot dry weight (Table 4.11). There was a very
strong positive correlation (r2 = 0.836, p <0.001) between shoot dry weight of S.
sesban inoculated using sesbania rhizobia and the respective nodule dry weight.
There was also a strong positive correlation (r 2 = 0.818, p < 0.001) between nodule
number per plant and dry weight of nodules following inoculation using sesbania
rhizobia. There was no correlation (r2 = 0.171, p = 0.395) between percent N per
shoot of S. sesban and shoot dry weight. No correlation (correlation (r2 = ‒ 0.142, p =
0.473) was recorded between percent N per shoot of S. sesban and number of
111
nodules per plant (Table 4.11). Similarly, there was no correlation (r2 = 0.257, p =
0.089) between percent N per per shoot and nodule dry weight. Higher symbiotic
effectiveness significantly correlated positively (r 2 = 0.499, p < 0.05) with shoot dry
weight. There was no significant correlation (r 2 = 0.083, p =0.224) between SE and
the number of nodules per S. sesban plant. A significant correlation (r 2 = 0.479, p <
0.05) was recorded between SE and nodule dry weight per plant. Likewise, there
was a significant correlation (r2 = 0.933, p < 0.001) between % N per plant and SE in
S. sesban (Table 4.11).
112
Table 4.11: Correlation between shoot dry weights, nodule number, nodule dry weight, nitrogen concentration and symbiotic
effectiveness of rhizobia in S. sesban
SDWt.
SDWt.
NNo.
NDWt.
% N shoot‒1
SE
NNo.
NDWt.
% N shoot‒1
SE
1
Pearson Correlation
0.191
1
Sig. (2‒tailed)
0.097
Pearson Correlation
0.836**
0.818**
Sig. (2‒tailed)
<0.001
< 0.001
Pearson Correlation
0.171
‒0.142
0.257
Sig. (2‒tailed)
0.395
0.473
0.089
Pearson Correlation
0.499*
0.083
0.479*
0.933**
Sig. (2‒tailed)
<0.05
0.224
< 0.05
< 0.001
1
1
1
*,** correlation is significant at 0.05 and 0.001 level (2‒tailed) respectively. SDWt., shoot dry weight; NDWt., nodule dry weight;
NNo., nodule number; SE (%), symbiotic effectiveness.
113
4.7 Symbiotic effectiveness test of sesbania rhizobial isolates on Rose coco bean
plants using Leonard jars
The deliberate introduction of rhizobial isolates from sesbania on roots of common
bean seedlings allowed determination of microsymbionts'
infectivity and
effectiveness. The leaf colour of common beans inoculated using sesbania rhizobial
isolates were yellowish green while those of Minus N treatment (controls) were
yellow at harvesting time (Plate 4.11).
A
C
B
D
Plate 4.11: Four week‒old common bean plants inoculated with sesbania rhizobial
isolates (A, MASS133); B, BA37 (common bean inoculant strain); C, Plus N
treatment (70 ppm N) (control) and D, Minus N treatment (control).
114
Nodules recovered from the roots of common bean were globose, determinate and
measured between 1‒5 mm in diameter. Some of the nodules had a smooth surface as
those found on roots of sesbania while others had a rough surface typical of bean
nodules. Nodules were observed on entire fibrous roots of the rhizobia infected
common beans (Plate 4.12).
Nodules
Plate 4.12. Nodules on roots of four‒week old common bean inoculated with
S. sesban rhizobial strain MASS133.
Cross section of common bean nodules formed by effective isolates were large and
pink (Leghemoglobin present) while those formed by ineffective isolates were small
and green (Leghemoglobin absent) (Plate 4.13). Nodules borne on roots of common
beans were spherical with either rough or smooth surfaces.
115
A
B
1 cm
Plate 4.13: Transverse section of nodules formed by sesbania isolates on common
bean. A, Leghemoglobin present; B, Leghemoglobin absent.
Fifteen out of the 79 rhizobia recovered from root nodules of various sesbania
elicited nodules on the roots of common bean. There was no nodulation on roots of
Plus N and Minus N treatments (control). The number of nodules on roots inoculated
bean treatments ranged between 3 and 63 and was significantly different (p < 0.001).
The nodule dry weight varied significantly (p < 0.001) and ranged between 0.5 mg
(MASS31a) and 153 mg (MASS149). Seventy three percent of the infective isolates
originated from S. sesban root nodules. The mean shoot dry weight accumulated by
nodulated common bean was not significantly different (p =0.244) and ranged
between 0.45 g (MASS31a) and 0.87 g (MASS133) per plant (Table 4.12).
116
Table 4.12: Effect of sesbania rhizobial isolates on shoot dry weight, nodule dry weight
and nodule number of common beans
Isolate‒Origin
SDWt. (g)
NDWt. (mg)
NNo.
MASS133 Sesbania sesban
0.87±0.03abc
145.6±44.20bc
63.00±15.00b
MASS137a S. sesban
0.69±0.09ab
61.8±20.10a‒c
36.00±9.00ab
MASS149 S. sesban
0.55±0.05a
153.0 ±62.40c
33.00 ±16.00ab
MASS30 S. sesban
0.51±0.11a
5.0±1.90a
5.00±2.00a
MASS31a S. sesban
0.45±0.06a
0.5±0.30a
3.00±2.00a
MASS38 S. sesban
0.81±0.13abc
7.0± 4.90a
3.00±2.00a
MASS40ab S. sesban
0.79±0.08abc
5.8±2.80a
5.00±2.00a
MASS42 S. sesban
0.55±0.11a
5.4±3.30a
13.00±9.00a
0.67±0.07ab
20.4±11.70a
8.00±3.00a
0.76±0.06bc
16.7±4.80a
26.00±7.00a
MN2 S. sphaerosperma
0.69±0.10abc
12.9±9.30a
5.00±3.00a
MN28 S. cinerascens
0.74±0.04ab
10.6±4.40a
6.00±3.00a
MN39 S. macowaniana
0.74±0.07ab
16.8±9.40a
10.00±4.00a
MN69 S. microphylla
0.75±0.07ab
47.1±26.70ab
25.00±10.00a
DWO253 Phaseolus vulgaris
0.70±0.10a
30.9± 15.30a
18.00±9.00a
KFR269 Siratro
0.68±0.10ab
16.2±4.80a
29.00±9.00ab
0.60±0.17
52.00±12.00
16.00±3.00
0.71±0.10a
34.1±16.20a
13.00±6.00a
0.60±0.10ab
36.0±10.50a
20.00±6.00a
0 ppm N
0.36±0.17
-
-
70 ppm N
0.98±0.21
-
-
Kavutiri (Kenya)
Lushoto (Tanzania)
Tororo (Uganda)
MASS51c S. sesban
Mbale (Uganda)
MASS57 S. sesban
Namibia
Reference strains
Kibwezi (Kenya)
Loruk (Kenya)
KFR209 Faidherbia albida
Nyamonye (Kenya)
KFR402 S. sesban
Gituamba (Kenya)
BA37 P. vulgaris
Controls
SDWt., shoot dry weight; NDWt., nodule dry weight; NNo., nodule number; Means
within a column followed by the same letter(s) are not significant different according
to Tukey HSD at 5 %. Values represent the mean ± SD of eight replicates.
117
There was a significant difference (p < 0.001) of shoot % N due to inoculation of
common bean plants using rhizobial isolates from sesbania and some reference
strains from various hosts (Table 4.13). Isolate MASS133 caused the highest shoot N
content (3.14 %). Nitrogen content per plant ranged between 0.34 mg (MASS31a)
and 3.08 mg (MASS57) and had a significant difference (p < 0.001). Similarly, the
nitrogen fixation ratio of nodulated common beans plants ranged between ˗0.4‒2.16.
Fifteen isolates were symbiotically effective, four of them described as highly
effective. Four isolates MASS149, MASS30, MASS31a and MASS42 were
ineffective on the common bean plants. The computed symbiotic effectiveness (SE)
of four elite strains (MASS38, MASS57, MASS133 and MASS40ab) was rated as
very effective (Table 4.13).
118
Table 4.13: Effect of sesbania rhizobial isolates on percent nitrogen, N content, N
fixation ratio and the symbiotic effectiveness of common beans
% N shoot ‒1
Isolate
N content (mg)
shoot
‒1
N fixation
ratio
SE
Kavutiri (Kenya)
MASS133
3.14±0.28g
2.75±0.22e
2.01
HE
MASS137a
1.92±0.16c‒f
1.32±0.27a-e
0.58
E
MASS149
2.03±0.13c‒f
1.11±0.07a-e
0.37
I
MASS30
2.05±0.31c‒f
1.04±0.19abc
0.30
I
MASS31a
0.75±0.04a
0.34±0.08a
˗0.40
I
MASS38
2.05±0.36c‒f
1.65±0.17a-e
0.91
HE
MASS40ab
1.90±0.33b‒f
1.50±0.37a-e
0.76
HE
MASS42
1.36±0.06a‒d
0.75±0.19abc
0.01
I
1.24±0.26abc
0.83±0.28abc
0.09
E
2.69±0.09f‒g
3.08±0.23abc
2.16
HE
MN2
1.89±0.21b‒f
1.86±0.32c-e
1.12
E
MN28
2.51±0.08e‒g
3.03±0.19b-e
1.13
E
MN39
2.85±0.12f‒g
2.12±0.20d-e
1.38
E
MN69
2.65±0.10e‒g
1.98±0.22b-e
1.24
E
DWO253 Phaseolus
vulgaris
1.65±0.20a‒e
1.16±0.30a-d
0.42
E
KFR269 Siratro
1.11±0.11abc
0.76±0.12abc
0.02
E
Faidherbia 2.41±0.25d‒g
1.59±0.34b-e
0.85
E
2.31±0.19d‒g
1.64±0.40a-e
0.90
E
BA37 P. vulgaris
2.10±0.14c‒f
1.25 ±0.27a-e
0.51
E
0 ppm N
1.10±0.04abc
0.90±0.10ab
0.00
‒
70 ppm N
1.48±0.12a‒d
2.33±0.10 a-e
0.00
‒
Lushoto (Tanzania)
Tororo (Uganda)
MASS51c
Mbale (Uganda)
MASS57
Namibia
Reference strains
Kibwezi (Kenya)
Loruk (Kenya)
KFR209
albida
Nyamonye (Kenya)
KFR402 S. sesban
Gituamba (Kenya)
119
Mean % N: f (20, 83) = 12.37, p‒value < 0.001, l.s.d = 0.4402. Mean N content (mg)
plant -1: f (20, 83) = 5.21, p‒value < 0.001, l.s.d = 0.8348.
Means within a column followed by the same letter(s) are not significant different
according to Tukey HSD at 5 %. Values are means of four replicates ± standard
errors. SE (%), symbiotic effectiveness; I, ineffective; E, effective; HE, highly
effective.
Symbiotic effectiveness of rhizobia that nodulated common bean varied significantly
(p < 0.05) and ranged between 28.4 % for MASS31a and 229.6 % for MASS133
when compared to uninoculated Plus N treatments (control) rated as 100 %. The
common bean inoculant (BA37) caused a symbiotic effectiveness of 104.4 % (Figure
4.9).
Figure 4.9: Effectiveness of sesbania rhizobial isolates on common beans. Error bars
with 5 % value.
Apart from MASS133 and MASS137a sesbania rhizobial isolates that were effective
nitrogen fixers (nod+nif+ phenotypes) in common beans, all other isolates recovered
from the Kenyan sites were non-infective (nod˗) on the common bean (Table 4.14a).
120
Table 4.14a: Nodulation and nitrogen fixation phenotypes of S. sesban rhizobial
isolates from Kenya on common beans
Site
Kavutiri
nod˗
nod+nif˗
MASS129, MASS130,
MASS149
nod+ nif+/˗
‒
MASS131, MASS134,
nod+ nif+
MASS133,
MASS137a,
MASS136, MASS137b,
MASS137ab, MASS138,
MASS140, MASS141,
MASS147.
Kuinet
MASS160, MASS168,
‒
‒
‒
‒
‒
‒
‒
‒
‒
MASS170, MASS171,
MASS172,
MASS174.
Bumala
MASS173,
MASS123, MASS125,
MASS126, MASS127,
MASS157, MASS167,
MASS176, MASS177a,
MASS177b, MASS177ab,
MASS178.
Gituamba
MASS110, MASS111,
MASS114, MASS115,
MASS117a, MASS117b,
MASS117c,
MASS117abc.
All isolates affiliated to S. sesban from Ugandan soils did not form nodules on
common beans (nod˗ phenotypes) except MASS51c and MASS57 which were
infective and effective (nod+nif+ phenotypes) on the common beans. None of the S.
sesban rhizobial isolates obtained from Kabale, Tororo and Mbale sites in Uganda
caused ineffective or partially effective nodules (nod+nif˗ or nod+nif+/˗ phenotypes)
on common beans (Table 4.14b).
121
Table 4.14b: Nodulation and nitrogen fixation phenotypes of S. sesban rhizobial
isolates from Uganda on common beans
Site
nod˗
nod+nif˗
nod+nif +/˗
nod+nif+
Kabale
MASS62
MASS65
‒
‒
‒
‒
‒
MASS51c
‒
‒
MASS57
MASS68
MASS69
Tororo
MASS47
MASS48
MASS49
MASS50a
MASS50b
MASS50ab
MASS51a
MASS51b
MASS51abc
MASS52
MASS53
Mbale
MASS54
MASS59
MASS60
MASS61
Sesbania sesban isolates MASS38 and MASS40a + MASS40b (as a mix inoculant of
a nodule co‒occupants) from Lushoto formed effective nodules (nod+nif+
phenotypes) on common beans while MASS42 (SUA), MASS30 and MASS31a
(Lushoto) formed ineffective nodules on common beans (nod+nif˗ phenotypes)
(Table 4.14c). There were no partially effective nodules formed on the common
beans by S. sesban rhizobial isolates from the two Tanzanian sites. All other isolates
from the two sites did not form nodules (nod˗ phenotypes) on common bean plants.
122
Table 4.14c: Nodulation and nitrogen fixation phenotypes of S. sesban rhizobial
isolates from Tanzania on common beans
Site
nod˗
nod+nif˗
nod+nif+/˗
nod+nif+
SUA
MASS41
MASS42
‒
‒
MASS30
‒
MASS38
MASS40ab
MASS43
Lushoto
MASS29
MASS31b
MASS31a
MASS33
MASS36
MASS37a
MASS37b
MASS37ab
MASS39
MASS40a
MASS40b
Four isolates (MN2, MN28, MN39 and MN69) from various Namibian sites were
effective (nod+nif+ phenotype) on common beans (Table 4.14d). All other sesbania
rhizobia from Namibia were non‒infective (nod‒ phenotypes) on common bean
plants. None of the sesbania rhizobial isolates from Namibia caused ineffective or
partially effective nodules.
123
Table 4.14d: Nodulation and nitrogen fixation phenotypes of sesbania rhizobial
isolates from Namibia on common beans
Site
Khorixas
Outijo
Swakop
nod˗
nod+nif˗
nod+nif +/˗
nod+nif+
‒
‒
‒
MN39
‒
‒
‒
‒
‒
‒
‒
‒
‒
‒
‒
MN28
‒
‒
‒
‒
‒
MN2
‒
‒
‒
‒
‒
‒
‒
‒
‒
‒
‒
MN69
‒
‒
‒
MN9,
MN44,
MN49, MN51.
Rio Tinto MN45, MN50,
Gorge
MN54, MN56,
MN58, MN62.
Epupa falls
MN8,
MN13,
MN18, MN19,
MN21, MN22,
MN57.
Suclabo
MN31,
MN40.
MN37,
Omuramba
MN11, MN17
Rooidrom
MN10.
Sesfontein
MN12, MN71.
Okahandja
MN1, MN15.
Otjinungua
MN68
Bunya
MN70
Korokoko
MN50
Five reference isolates viz: BA37 (P. vulgaris), KFR209 (F. albida), DWO253 (P.
vulgaris), KFR269 (Siratro) and KFR402 (S. sesban) exhibited nod+nif+ phenotype
on common bean plants (Table 4.14e). A S. sesban inoculant production strain
(KFR647) failed to induce nodules on the common bean plants. None of the
reference rhizobial strains from Kenya caused ineffective or partially effective
nodules on common beans.
124
Table 4.14e: Nodulation and nitrogen fixation phenotypes of reference rhizobial
strains from Kenya on common beans
Site
nod˗
nod+nif˗
nod+nif+/˗
nod+nif+
Gituamba
‒
‒
‒
BA37 (P. vulgaris)
Loruk
‒
‒
‒
KFR209 (F. albida)
Kibwezi
‒
‒
‒
DWO253 (P. vulgaris),
KFR269 (Siratro)
Yala swamp KFR647
‒
‒
‒
‒
‒
KFR402 (S. sesban)
(S. sesban)
Nyamonye
‒
4.7.1 Correlation among shoot dry weight, nodule number, nodule dry weight,
nitrogen concentration and SE of common bean plants
There was a significant positive correlation (r 2 =0.323, p < 0.05) between number of
nodules per plant and the shoot dry weight of the plants (Table 4.15). There was no
significant correlation (r2 = 0.025, p = 0.0529) between nodule dry weight and shoot
dry weight following rhizobial inoculation of common bean using sesbania rhizobia.
There was also a significant positive correlation (r2 = 0.461, p < 0.05) between % N
per shoot and shoot dry weight. A strong positive significant correlation (r2 = 0.6943,
p < 0.001) between symbiotic effectiveness (SE) and shoot dry weight. There was a
strong positive correlation (r2 = 0.676, p < 0.001) between number of nodules and
nodule dry weight. No significant correlation (r2 = 0.204, p = 0.089) was recorded
between % N per shoot and number of nodules per plant. There was a weak
correlation (r2 = 0.302, p < 0.05) between SE and number of nodules per plant. There
was a significant positive correlation (r2 =0.386, p < 0.05); (r2 =0.388, p < 0.05)
between % N per shoot and nodule dry weight; SE and nodule dry weight
125
respectively (Table 4.15). A strong positive correlation (r2 = 0.946, p < 0.001) was
recorded between nitrogen concentration (% N) per shoot and symbiotic
effectiveness on common bean treatments due to inoculation with sesbania isolates
(Table 4.15).
126
Table 4.15: Correlation between shoot dry weight, nodule number, nodule dry weight, nitrogen concentration and SE on common beans
SDWt. (g)
NNo.
NDWt. (mg)
% N shoot‒1
SDWt.
Pearson Correlation
(g)
Sig. (2‒tailed)
NNo.
Pearson Correlation
0.323*
Sig. (2‒tailed)
< 0.05
NDWt.
Pearson Correlation
0.025
0.676**
(mg)
Sig. (2‒tailed)
0.529
< 0.001
Pearson Correlation
0.461*
0.204
0.386*
Sig. (2‒tailed)
< 0.05
0.089
< 0.05
Pearson Correlation
0.694**
0.302*
0.388*
0.946**
Sig. (2‒tailed)
< 0.001
< 0.05
< 0.05
< 0.001
%N
shoot
SE
‒1
SE
1
1
1
1
1
*, ** correlation is significant at 0.05 and 0.001 level (2‒tailed) respectively. SDWt., shoot dry weight; NDWt., nodule dry weight;
NNo., nodule number; SE (%), symbiotic effectiveness.
127
Fourteen (14) sesbania rhizobial isolates from S. sesban, S. sphaerosperma, S.
macowaniana, S. cinerascens and S. microphylla were infective on common bean
while 97 isolates were non‒infective (Table 4.16). Isolate KFR402 (S. sesban)
caused nodules on roots of common beans. Rhizobial isolates from S. pachycarpa, S.
bispinosa and S. rostrata did not form association with common beans. Other
infective isolates with origin from non‒sesbania included BA37, DWO253 (common
bean), KFR209 (Faidherbia albida) and KFR269 (Siratro). Isolates from Acacia
tortilis and A. xanthophloea were non‒infective on common beans.
128
Table 4.16: Sesbania rhizobia with infective traits on common beans
Host of origin
Sesbania sesban
Infective
rhizobia
Non‒infective rhizobia
MASS30
MASS31a
MASS38
MASS29, MASS31b, MASS33, MASS36,
MASS37a,
MASS37b,
MASS37ab,
MASS39,
MASS40a,
MASS40b,
MASS41, MASS43, MASS47, MASS48,
MASS49,
MASS50a,
MASS50b,
MASS50ab,
MASS51a,
MASS51b,
MASS51abc,
MASS52,
MASS53,
MASS54, MASS59, MASS60, MASS61,
MASS62, MASS65, MASS68, MASS69,
MASS110,
MASS111,
MASS114,
MASS115,
MASS117a,
MASS117b,
MASS117c, MASS117abc, MASS123,
MASS125,
MASS126,
MASS127,
MASS129,
MASS130,
MASS131,
MASS134,
MASS136,
MASS137b,
MASS137ab,
MASS138,
MASS140,
MASS141,
MASS147,
MASS157,
MASS160,
MASS167,
MASS168,
MASS170,
MASS171,
MASS172,
MASS173,
MASS174,
MASS176,
MASS177a, MASS177b, MASS177ab,
MASS178, KFR647, MN8, MN13,
MN18, MN21, MN57, MN68
MASS40ab
MASS42
MASS51c
MASS57
MASS133
MASS137a
MASS149
KFR402
MN9, MN44, MN45, MN49, MN51,
MN56, MN58, MN62
S. pachycarpa
S. sphaerosperma
MN2
MN10, MN12
S. macowaniana
MN39
MN1, MN22, MN15, MN19, MN71
S. cinerascens
MN28
MN31, MN37, MN40
S. microphylla
MN69
MN70
S. bispinosa
MN11, MN17
S. rostrata
MN50
P. vulgaris
BA37
DWO253
KFR84
Acacia tortilis
Faidherbia albida KFR209
Siratro
A. xanthophloea
KFR269
DWO75
129
4.8 Multiple rhizobial occupancy in root nodules of Sesban sesban
Several rhizobial isolates from S. sesban grown in East African sites were found to
co‒occupy the nodules. Test for ability of the co‒occupants to infect S. sesban
resulted in non‒infective or sub‒obtimal nitrogen fixation. Nodulated S. sesban
inoculated using either of the nodule rhizobial companions or in their mixed forms
resulted in significantly (p < 0.001) lower shoot dry weight compared to Plus N
(control) and the S. sesban inoculant production strain (KFR647) treatments. Isolate
MASS177b had the highest nodule dry weight (0.67 mg) and specific nodule weight
of 3.14 mg. A mixed inoculant MASS177a + MASS177b (MASS177ab) was
non‒infective on S. sesban while in their separate forms isolates MASS177a and
MASS177b initiated 4.6 and 21.4 nodules respectively. Similarly, a mixture of
isolate MASS31a + MASS31b (MASS31ab) was non‒infective on S. sesban. Isolate
MASS31a caused 36 nodules per plant with shoot dry weight of 0.47 g while
MASS31b elicited only one nodule per plant with shoot dry weight of 0.09 g. A
combined rhizobial inoculation using companions MASS117a + MASS117b +
MASS117c (MASS117abc) of a single nodule recorded insignificant difference of
shoot dry weight 0.34 g compared to a single isolate MASS117c (0.40 g). The shoot
dry weight 0.16 g caused by isolates MASS117a and MASS117b was not
significantly different (p > 0.05) from shoot dry weight of Minus N treatment (Table
4.17).
130
Table 4.17: Growth response of S. sesban on inoculation using multiple nodules
co-occupant rhizobial isolates from roots of S. sesban
Isolate
SDWt.(g)
NNo.
NDWt.(mg)
SNWt. (mg)
MASS177a
0.10±0.02ad
4.60±2.40ab
0.01±0.01a
0.25±0.12a
MASS177b
0.48±0.12def
21.40±4.70cde
0.67±0.02d
3.14±0.85c
MASS177ab
0.11±0.01ad
Bumala (Kenya)
-
-
-
Gituamba (Kenya)
MASS117a
0.16±0.08ad
4.60±3.90ab
0.09±0.01ab
0.57±0.28ab
MASS117b
0.16±0.05ad
0.60±0.40a
0.01±0.01a
0.85±0.63ab
MASS117c
0.40±0.08ae
17.60±3.00bcd
0.51±0.01bcd
2.69±0.30bc
MASS117abc
0.34±0.11ae
11.00±6.00ad
0.26±0.02ad
1.42±0.40abc
MASS31a
0.47±0.08 cf
36.00±4.90e
0.59±0.11cd
1.74±0.26abc
MASS31b
0.09±0.02abc
0.90±0.30a
0.01±0.01a
0.49±0.16ab
MASS31ab
0.14±0.03ad
-
-
-
MASS37a
0.07±0.02a
6.80±2.00abc
0.06±0.02ab
1.24±0.70abc
MASS37b
0.30±0.08ae
15.00±3.00ad
0.30±0.01ad
1.99±0.40abc
MASS37ab
0.12±0.03ad
-
-
-
MASS50a
0.15±0.03ad
-
-
-
MASS50b
0.45±0.07bf
13.00±4.00abcd
0.04±0.01ad
1.96±0.44abc
MASS50ab
0.08±0.03ab
1.00±0.50a
0.01±0.01a
0.25±0.14a
MASS51a
0.15±0.03ad
3.90±2.30ab
0.05±0.03ab
0.73±0.32ab
MASS51b
0.10±0.03ad
-
-
-
MASS51c
0.18±0.02ad
2.30±1.00a
0.06±0.04ab
1.13±0.50abc
MASS51abc
0.14±0.02ad
4.00±1.00ab
0.04±0.01ab
1.23±0.49abc
0.58±0.09ef
22.00±3.30de
0.60±0.01d
2.69±0.24bc
Lushoto
(Tanzania)
Tororo (Uganda)
Reference strains
KFR647
Controls
0 ppm N
0.15±0.03ad
-
-
-
70 ppm N
0.98±0.14f
-
-
-
SDWt. (g) f (22, 159) = 7.01, p‒value < 0.001, l.s.d = 0.2141, NNo. f (22, 159) = 10.47,
p‒value < 0.001, l.s.d = 8.185, NDWt. (mg), f (22,159) =6.39, p‒value < 0.001, l.s.d
= 0.026 and SNWt. (mg), f (22,159) =4.72, p‒value < 0.001, l.s.d = 1.213.
Means within a column followed by the same letter(s) are not significant different
according to Tukey HSD at 5 %. Values are means of four replicates ± standard
errors. SDWt., shoot dry weight; NNo., nodule number; NDWt., nodule dry weight;
SNWt., specific nodule weight.
131
4.9 Sesbania sesban and common bean cross‒inoculating isolates
All the isolates with cross‒inoculating ability on S. sesban and the common beans
caused low shoot dry weight on both species compared to the respective Plus N
treatments (control). There was no significant difference (p ≤ 0.05) in shoot dry
weight of S. sesban inoculated using strains KFR269, KFR209 and KFR647 (S.
sesban inoculant strain). Similarly, there was no significant difference (p ≤ 0.05) in
relative effectiveness of isolate MASS133, DWO253 and BA37 (inoculant strain for
common beans) on S. sesban (Figure 4.9a). Isolate KFR402 showed the highest
relative effectiveness (0.35) on S. sesban.
b
a
bc
a
Figure 4.10a: Response of inoculation on shoot dry weight (g) of S. sesban.
Standard error (SE) bars with the same letters are not significantly different (p >
0.05) according to Tukey’s HSD test.
The isolate MASS133 caused a significant difference (p ≤ 0.05) of a higher relative
effectiveness of 0.2 on common bean compared to all other isolates. The common
132
bean inoculant production strain BA37 caused the least relative effectiveness (-0.07)
compred to Plus N treatment (control). Common bean shoot dry weight caused by
isolates KFR402, KFR269, DWO253 and BA37 were not significantly different (p >
0.05) from Minus N treatment (control) (Figure 4.9b).
a
e
b
b
b
b
c
bd
d
Figure 4.10b: Response of inoculation on shoot dry weight (g) of common bean.
Bars with the same letters are not significantly different (p > 0.05) according to
Tukey’s HSD test.
133
CHAPTER FIVE
DISCUSSION, CONCLUSIONS AND RECOMMENDATIONS
5.1 Discussion
5.1.1 Morpho–cultural characterization of sesbania rhizobia
The morpho-cultural characteristics exhibited by sesbania isolates including colonies
with either flat, raised or dome shaped (all with entire margins), fast, moderate or
slow growth, production of copious exopolysaccharides (EPS), moderate EPS with
gummy properties or non‒EPS producers, acid, alkaline or neutral on YEMA–BTB
media were similar to those of root nodules isolated from legumes grown worldwide
(Somasegaran and Hoben, 1994; Legesse and Assefa, 2014; Bhargava et al., 2016;
Nahar et al., 2017). Majority of fast growing rhizobia were acid producers while the
slow growers were alkaline producers on YEMA medium. However, the pH reaction
for fast and slow growers was not universal, findings that agree with those by Okaron
et al. (2017). The time taken for sesbania rhizobial colonies to attain maximum
growth (i.e. 2‒3 days, 4‒6 days and 7‒9 days for fast, moderately fast and slow
growers respectively) with a colony size range from < 1.0 mm to 5.0 mm in diameter
on YEMA medium incubated in the dark at 28±1 °C were in close agreement with
Dereje et al. (2015).
Bacteria recovered from the nodules of sesbania were Gram negative, a characteristic
shared by all members of α- and β-protobacteria (Berrada and Fikri-Benbrahim,
2014). This characteristic aided in the presumptive identification of rhizobia from the
study sites. However, the recovery of fast and slow growing rhizobia from root
nodules of sesbania contrasted in the slow growth with the observations by Atangana
et al. (2014) that sesbania form nodules with fast-growing strains of Rhizobium.
134
Most of the sesbania rhizobial isolates recovered were clustered in morphotypes I, II,
VII, VIII and IX (Figure 4.1), which are probably the most compatible morphotypes
possessing high affinity for sesbania as opposed to morphotypes III, IV, V and VI.
The high diversity of morphotypes observed with sesbania isolates could be as a
result of horizontal gene transfer which confers survival mechanisms over time to
bypass adverse conditions found in some tropical soils. For instance, the presence of
rhizobial isolates grouped in morphotypes II, IV and V produced copious
exopolysaccharides (EPS) a property also characterized by Hewedy et al. (2014) and
which is essential for infection process and nodule formation; protect rhizobia in the
soil against deleterious biotic and abiotic stress factors and which restrict oxygen
diffusion through the nodular cells to protect the oxygen sensitive nitrogenase in the
nodules (Bhargava et al., 2016). Rhizobia falling in morphotype III presented a
unique characteristic of chromogenic colonies which is contrary to growth of most
rhizobia. The results also point out to non-specificity of the rhizobial morphotypes to
sesbania used in the study and that the infection process is not stringently controlled
by a single variant of flavanoids or isoflavanoids even within the same host (Liu and
Murray, 2016). The recovery of rhizobia with heterogeneous colony characteristics
in the present study indicates that sesbania symbiotically associate with diverse
rhizobial strains. Hence the acceptance of hypothesis that there are phenotypic
differences among the rhizobia isolated from various sesbania grown in East Africa
and Namibia.
Lack of site specificity for morphotypes implies that rhizobial strains compatible to
sesbania are readily available in many soils of East Africa and Namibia. However,
this finding contradicts that of Bala et al. (2002) in which they found no rhizobia
135
compatible with S. sesban in 39 out of 53 soils sampling sites of Southern Africa.
The similarities of colony traits of Mesorhizobium and Sinorhizobium (morphotype
II) and Bradyrhizobium and Azorhizobium (morphotype IX) together with the
variation of traits for the genus Rhizobium (morphotypes V and VII) suggest
presence of colony dimorphism within rhizobia nodulating sesbania which may lead
to identification inconsistencies when only morphological traits are relied upon.
An intriguing observation in the present study is the evidence of hollow centres
(Plate 4.2) in some rhizobial colonies isolated from Namibian sesbania nodules. The
hollow centres could be a symptom of rhizobial infection by rhizobiophages.
Rhizobiophages are important vectors for rhizobial transformation, a potential means
of genetic diversity among rhizobia through conferring of traits like resistance to
antibiotics, tolerance to salts and infectiveness (Santamaría et al., 2013). However,
rhizobiophages could as well have a negative effect on elite strains in the soil
through elimination of susceptible rhizobial populations or transform infective and
effective strains into non-infective forms (Msimbira et al., 2016).
5.1.2 Intrinsic antibiotic resistance and salt tolerance
The intrinsic antibiotic resistance (IAR) and salt tolerance are important techniques used
for discrimination and identification of rhizobial strains. Sesbania rhizobial isolates
showed different degrees of susceptibility of between 26.8 % and 90.8 % (Figure 4.3) to
the twelve antibiotics which can be attributed to genetic variation in target genes and
resistance genes acquired through horizontal gene transfer (Bhargava et al., 2016).
Notable is the less resistance to kanamycin and which support findings by The isolates
also showed a generally low IAR for kanamycin, which is a very common characteristic
136
for tropical rhizobia. This phenotypic trait is highly desired for inoculant strains
persistence amidst antibiotics producing microbes present in many agricultural soils
(Shetta et al., 2011; Adegboye and Babalola, 2013). Sesbania grow in diverse conditions
that include water-logged and dry soils with varying salinity levels in different parts of
the world. Salinity is one of the adverse conditions that affect rhizobia‒legume
interactions leading to poor nitrogen fixing through inhibition of the initial steps of the
symbiosis. It was intriguing to note that some of the sesbania isolates were highly
halotolerant at a concentration of 10 % NaCl (w/v) which is higher than the 5 % recorded
by Messaoud et al. (2014) but agrees with the findings of Bouzeraa-Bessila et al. (2015).
In their findings, the most salt-tolerant strains MSC2 and MSC9 isolated from Chatt soil
and MSF21, MSF20 and MSF19 isolated from Fetzara soil were tolerant at 10 % of
NaCl. This might be as a result of the soil chemical characteristics of the site where
sesbania root nodules were recovered. Results of the present study suggest that IAR and
salt tolerance dendrogram patterns (Figures 4.5a–4.5j) were sufficiently used in grouping
of rhizobial isolates from sesbania grown in diverse habitats of East Africa and Namibia,
which supports the use of some phenotypic traits for strain identification (Chanway and
Holl, 1986).
5.1.3 Molecular characterization of sesbania rhizobia
According to the 16S rRNA PCR‒RFLP unrooted tree topologies (Figure 4.6a–4.6d),
rhizobial isolates from root nodules of sesbania were tentatively grouped into the
genera Rhizobium, Sinorhizobium, Bradyrhizobium, Mesorhizobium, Azorhizobium
and Agrobacterium with an overall mean cophenetic correlation coefficient of 62.1
% (bootstrap value) compared to reference strains. Except for Bradyrhizobium, these
results support those of Young and Haukka (1996) that S. sesban rhizobia are
137
genetically
diverse,
with
isolates
represented
in the
genera
Rhizobium,
Mesorhizobium, Sinorhizobium and Azorhizobium. The presence of unmatched
isolates (dissimilar to all the reference strains used in this study) from Kenya and
Namibia was an indication that there exists rhizobial genera other than Rhizobium,
Sinorhizobium, Bradyrhizobium, Mesorhizobium and Agrobacterium that also form
symbiosis with sesbania. These data demonstrated a high diversity of rhizobia
associated with sesbania and therefore the hypothesis that there are genotypic
differences among the rhizobia isolated from various sesbania grown in East Africa
and Namibia is accepted. These results agree with those of Nahar et al. (2017) where
rhizobia affiliated with S. bispinosa showed genotypic diversity using 16S rRNA
sequences. Results from the present study have also shown that the PCR-RFLP
markers were not able to resolutely split Agrobacterium spp. and Sinorhizobium spp.
isolated from sites in Kenya and Tanzania; Bradyrhizobium spp. and Rhizobium spp.
Type A, Mesorhizobium spp. and Agrobacterium spp. isolated from sites in Uganda;
Sinorhizobium spp. and Agrobacterium spp., Mesorhizobium spp. and Rhizobium
spp. Type B from sites in Tanzania. This may possibly indicate that some of the
strains in the sites of nodule collection are actively exchanging their genome or
acquiring genes from the surroundings to suit both host and abiotic conditions for
survival.
The phylogenetic disimilarities range of 2 % ‒ 100 % is an indication of a rich
diversity of rhizobia affiliated symbiotically to sesbania growing in East Africa and
Namibia. Findings of the present study show that the bulk of sesbania isolates from
various sites were of the genera Rhizobium, Sinorhizobium, Bradyrhizobium and
Mesorhizobium. With the exception of Bradyrhizobium spp., these results are in line
138
with those of Bala and Giller (2001) who reported that S. sesban are effectively
infected by rhizobia that belong to the genera Rhizobium, Mesorhizobium and
Sinorhizobium. However, these contrast with those of Singh et al. (2013) where only
fast growers (Rhizobium spp.) were recovered from S. sesban which were grown in
Mumbai and its suburban areas. In the present study isolates with Agrobacteriumlike 16S rRNA PCR-RFLP patterns were recovered from sesbania of Namibia which
is an indication that some Agrobacterium spp. acquired the ability to nodulate
legumes through transformation, a finding that supports that of Kondorosi et al.
(1982) that Agrobacterium mutants supplied with symbiotic plasmids of rhizobia are
conferred the ability to form nodules and fix nitrogen. However, the 16S rRNA PCRRFLP clustering together of Agrobacterium-like rhizobia from Kenya and Tanzania
with Sinorhizobium spp. and those from Uganda clustered with Mesorhizobium spp.
might be a pointer to the source of symbiotic genes that transforms Agrobacterium
spp. to legume nodulating bacteria.
5.1.4 Nodulation and nitrogen fixation potential of sesbania rhizobia on S.
sesban
A high number of sesbania rhizobia (83 %) caused nodulation on S. sesban an
indication that members of this genus Sesbania easily cross-inoculate with similar
rhizobia. Sesbania rhizobial infection and the associated nodule formation on roots of
S. sesban were not host or site specific which can plausibly be attributed to wide
distribution of sesbania and their compatible rhizobia in the tropics following
widespread seed dispersal to new sites mainly accompanied by compatible
microsymbionts as suggested by Grange et al. (2007).
139
In the present study S. sesban responded to inoculation using sesbania rhizobia with
the four possible nodulation and nitrogen fixation phenotypes nod˗, nod+fix‒,
nod+fix+/˗ and nod+fix+ as was earlier described by Maunoury et al. (2010), Liu et
al. (2011), Saeki, (2011) and Melino et al. (2012). Symbiotic effectiveness test of
sesbania rhizobia on S. sesban revealed a huge disparity in the ability to fix nitrogen
as indicated by shoot dry weight range of 0.06 g ‒ 1.06 g per plant. This variation in
effectiveness supports the hypothesis that not all rhizobia from root nodules of
sesbania are effective in fixing nitrogen with S. sesban.
The unexpected failure of isolates recovered from S. sesban to nodulate the host of
isolation resulting in negative Koch's postulates may be attributed to premature abortion
of bacteroid differentiation process, failed bacterial endocytosis from infection threads
into cortical cells or a reduced pool of functional bacteroids after they underwent
premature senescence (Melino et al., 2012). The highly positive significant correlation (r2
= 0.836, p < 0.001) between shoot dry weight of S. sesban and the respective nodule dry
weight imply that high nodule biomass is responsible for fast growth of S. sesban in the
absence of external nitrogen sources. The high nodule biomass observed in treatments
with efficient nitrogen fixation could be as a consequence of rhizobial affinity for root
cortex cells and the subsequent entry into the cells resulting in higher hyperplasic and
greater hypertrophic effects on the symbiosomes. Results in the present study also show
no significant correlation (r2 = 0.191, p = 0.097) between nodule number and shoot dry
weight of S. sesban which is inconsistent with that of Chemining’wa et al. (2011) where
they reported a positive and significant correlation between the two parameters. In the
present study, the high weight of nodules can have compensated for high number of
nodules and the incidences of low plant biomass of profusely nodulated legume plants
140
could imply failure of host to sanction ineffective nod+fix˗ or nod+fix+/˗ phenotypes
rhizobial strain(s) (Sachs et al., 2010). Six isolates recovered from S. sesban [MASS59
(Mbale‒Uganda),
MN18
and
MN68
(Nambia),
MASS147
and
MASS129
(Kavutiri‒Kenya) and MASS172 (Kuinet‒Kenya)] caused high shoot dry weight
compared to the uninoculated plus N (control) treatments. Most of the isolates had
significant (p < 0.001) low shoot dry weights compared to the uninoculated minus N
(control) treatments (0.36 g per plant) denoting parasitism nature of some highly infective
microsymbionts which concurs with the findings by Sachs et al. (2010) that legumes have
no ability to detect effectiveness of rhizobia at the point of infection.
The significant differences (p < 0.001) in mean percent nitrogen and nitrogen content per
shoot of S. sesban inoculated using selected rhizobia from various legume hosts indicate
polymorphism in genes involved in nitrogen fixation present in different rhizobial
isolates. Nodulation of S. sesban by rhizobia from legumes other than sesbania [i.e.
strains BA37 and DWO253 (P. vulgaris), KFR269 (Siratro) and KFR209 (F. albida), all
included in the present study] indicates that S. sesban and the common beans fall in a
common cross-inoculation group with a wide host range inluding other herbaceous
legumes and tree species. These results match and support those of Wolde-Meskel et al.
(2016) where most of the rhizobia strains identified as effective symbionts of sesbania
were originally isolated from trees and leguminous food crops other than sesbania
suggesting an availability of broad range isolates in soils where other legumes are grown.
141
5.1.5 Nodulation and nitrogen fixation potential of sesbania rhizobia on Rose
coco bean variety
Sesbania isolates formed root nodules on Rose coco bean plants (Table 4.16) which
plausibly indicate that common beans together with sesbania fall within the same
cross-inoculation group. These findings support the hypothesis that sesbania
rhizobial isolates infect common beans. The cross nodulation ability of the two
legumes was further confirmed by the reciprocal nodulation of S. sesban by strains of
common bean origin (Table 4.9e). These results support the idea that tropical
legumes nodulate with rhizobial strains found outside their centre of diversity as a
result of promiscuity in host range (Giller, 2001). A limited number of 14 out of the
total 128 test sesbania rhizobial isolates formed nodules on roots of Rose coco bean
cultivar. The most probable explanation for these results is the lack of preference by
sesbania rhizobia for the Rose coco common bean cultivar used in the present study
(Gicharu et al., 2013).
The symptomatic nitrogen deficiency frequently manifests in plants growing in
nitrogen poor soils, non-nodulated legumes or legumes associated with ineffective
rhizobial strains. Unexpectedly Rose coco bean variety nodulated by sesbania
rhizobial nod+nif+ phenotypes with pink nodules (Plate 4.13) and which rated as
highly effective (Table 4.13) had yellowish green leaves compared to the dark green
colour of the non‒inoculated Plus N treatments (control) (Plate 4.11). However, the
yellow leaf colour of the bean plants with effective nodules not only points to the
high nitrogen demand by bean plants especially during the onset of flowering and
podding but also to the low nitrogen fixation ability of the pulse compared to other
crop legumes (Graham, 1981; Hardarson et al., 1993). Inspite of the leaf yellow
142
colour of nodulated common bean, these findings support the null hypothesis that
sesbania rhizobial isolates infect and effectively fix nitrogen with Rose coco beans
variety. These results contrast with those of Degefu et al. (2011) where none of the
rhizobial strains recovered from the tree species S. sesban, Acacia abyssinica, A.
tortilis and A. senegal were able to induce nodules in crop legume species.
Rose coco bean variety was also nodulated by non-sesbania isolates KFR209 (F.
albida) and KFR269 (siratro), findings which support observations by Michiels et al.
(1998) and Perret et al. (2000) that common bean has the ability to recognize signals
that trigger the nodulation process from many rhizobia although the resultant
interactions are often not effective. The negative relative effectiveness of MASS133,
DWO253 and BA37 on S. sesban and KFR209 and BA37 on Rose coco beans can be
attributed to failure of host-entry restriction mechanisms and symbiotic selection
centres against 'parasitic' rhizobial strains (Perret et al., 2000) hence the rejection of
the hypothesis that sesbania rhizobial isolates efficiently fix nitrogen with Rose coco
bean variety.
5.1.6 Multiple nodule occupancy
Two or three rhizobial isolates were found co‒occupying nodules collected from
roots of East African S. sesban, results that support earlier findings by Nguyeni et al.
(2010) where 10‒50 % of nodules were simultaneously occupied by two or three
genotypes. When and how the diverse genotypes of nodule forming rhizobia enter
and co‒occupy a single nodule has remained unclear. The significant difference (p <
0.001) between shoot dry weight caused by two nodule companions and the absence
of additive effect in mixed inoculants could be attributed to detection and subsequent
143
elimination of the 'cheater' strains as earlier described by Jones et al. (2015) and
Checcucci et al. (2016). The frequent low shoot dry weight of S. sesban inoculated
using mixed co-occupants compared to one of the co-occupants support (Friesen and
Mathias, 2010) that legume hosts discriminate between strains within a nodule
resulting in emergence of polymorphism that cause precipitous decline in host
benefit.
5.2 Conclusions
i.
Rhizobia nodulating sesbania grown in East Africa and Namibia are
phenotypically and genetically diverse but not site specific.
ii.
Most sesbania isolates are infective on S. sesban. However, they exhibit great
variations in nodulation and effectiveness.
iii.
Rose coco bean variety fall in the same cross-inoculation group as sesbania
but only 14 out of the total 128 sesbania rhizobial isolates caused nodulation.
5.3 Recommendations
i.
Sesbania are nodulated by diverse rhizobia which calls for keen selection
before they are used as inoculant production strains for legumes within its
cross-inoculating group.
ii.
Prospecting for sesbania-common bean cross-inoculating rhizobia in tropical
soils where sesbania are endemic should be prioritized in order to recover
even more superior strains.
iii.
Superior genetic tools for example DNA and gene sequencing should be
employed to evaluate the genetic diversity of rhizobia nodulating S. sesban and
common bean to species level.
144
iv.
Isolates MASS172 and MASS133 from root nodules of S. sesban grown in
Kuinet and Kavutiri (Kenya) respectively and KFR402 (reference strain from
S. sesban) have the potential as inoculant production strains for both species.
However, the isolates should be evaluated for effectiveness in soils from
different agro-ecological zones where common beans and S. sesban are
grown.
v.
The isolates MASS172, MASS133 and KFR402 should be evaluated for
compatibility and nitrogen fixing effectiveness on many other common bean
varieties given that there are frequent reports of variations in nodulation and
biomass accumulation among bean varieties under controlled greenhouse
conditions.
145
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APPENDICES
Appendix I: Growth characteristics of Sesbania sesban rhizobial isolates from
Kenya on YEMA media
Isolate/Host
Characteristics per study site
BTB
Gituamba
110 S. sesban
4 mm diameter, transparent, shiny, dome and
copious watery exopolysaccharides
A
5 mm diameter, milky, gummy, dome shaped
shinny
A
3 mm diameter, pink, translucent, milky centre,
dome,
shinny
and
moderate
gummy
exoplysaccharides
A
4 mm diameter, transparent, shiny, dome and
copious watery exopolysaccharides
A
3 mm diameter, pink, translucent, milky centre,
dome,
shinny
and
moderate
gummy
exoplysaccharides
A
4 mm diameter, transparent, shiny, dome and
copious watery exopolysaccharides
A
2 mm, milky suspensions, shiny, raised and
watery
N
<1 mm diameter, transparent, dome shaped, tiny
B
2 mm diameter, milky suspensions, shiny, raised
and watery
B
130 S. sesban
<1 mm diameter, transparent, dome shaped, tiny
B
131 S. sesban
2 mm diameter, milky suspensions, shiny, raised
and watery
N
132 S. sesban
<1 mm diameter, transparent, dome shaped, tiny
N
133 S. sesban
2 mm diameter, milky suspensions, shiny, raised
and watery
N
3 mm diameter, pink, translucent, milky centre,
dome,
shinny
and
moderate
gummy
exoplysaccharides
N
134b S. sesban
<1 mm diameter, transparent, dome shaped, tiny
N
135 S. sesban
<1 mm diameter, transparent, dome shaped, tiny
N
136 S. sesban
<1 mm diameter, transparent, dome shaped, tiny
N
137a S. sesban
<1 mm diameter, transparent, dome shaped, tiny
N
111 S. sesban
112 S. sesban
113 S. sesban
114 S. sesban
115 S. sesban
116 S. sesban
117 S. sesban
Kavutiri
129 S. sesban
134a S. sesban
165
137b S. sesban
2 mm diameter, milky suspensions, shiny, raised
and watery
N
3 mm diameter, pink, translucent, milky centre,
dome,
shinny
and
moderate
gummy
exoplysaccharides
N
157 S. sesban
<1 mm diameter, transparent, dome shaped, tiny
B
158 S. sesban
3 mm diameter, pink, translucent, milky centre,
dome,
shinny
and
moderate
gummy
exoplysaccharides
N
3 mm diameter, pink, translucent, milky centre,
dome,
shinny
and
moderate
gummy
exoplysaccharides
N
2 mm diameter, milky suspensions, shiny, raised
and watery
A
2 mm diameter, milky suspensions, shiny, raised
and watery
A
163 S. sesban
<1 mm diameter, transparent, dome shaped, tiny
B
164 S. sesban
<1 mm diameter, transparent, dome shaped, tiny
B
165 S. sesban
2 mm diameter, milky suspensions, shiny, raised
and watery
B
166 S. sesban
<1 mm diameter, transparent, dome shaped, tiny
B
167 S. sesban
2 mm diameter, milky suspensions, shiny, raised
and watery
A
168 S. sesban
<1 mm diameter, transparent, dome shaped, tiny
A
176 S. sesban
2 mm diameter, milky suspensions, shiny, raised
and watery
A
2 mm diameter, milky suspensions, shiny, raised
and watery
A
<1 mm diameter, transparent, shiny, dome and
copious watery exopolysaccharides
B
179 S. sesban
<1 mm, transparent, dome shaped, tiny
B
180 S. sesban
<1 mm diameter, transparent, dome shaped, tiny
B
181 S. sesban
2 mm diameter, milky suspensions, shiny, raised
and watery
N
3 mm diameter, pink, translucent, milky centre,
dome,
shinny
and
moderate
gummy
exoplysaccharides
N
3 mm diameter, pink, translucent, milky centre,
A
Bumala
156 S. sesban
159 S. sesban
161 S. sesban
162 S. sesban
177 S. sesban
178 S. sesban
Kuinet
169 S. sesban
170 S. sesban
166
dome,
shinny
exoplysaccharides
171 S. sesban
172 S. sesban
and
moderate
gummy
3 mm diameter, pink, translucent, milky centre,
dome,
shinny
and
moderate
gummy
exoplysaccharides
N
3 mm diameter, pink, translucent, milky centre,
dome,
shinny
and
moderate
gummy
exoplysaccharides
A
173 S. sesban
3 mm diameter, translucent, raised shinny,
watery
A
174 S. sesban
3 mm diameter, translucent, raised shinny,
watery
N
BTB, Bromothymol blue; A, acid; B, alkaline; N, neutral.
Appendix II: Growth characteristics of Sesbania sesban rhizobial isolates Uganda
on YEMA media
Isolate/Host
Characteristics per study site
BTB
Tororo
MASS47 S. sesban
MASS48 S. sesban
MASS49 S. sesban
MASS50 S. sesban
MASS51 S. sesban
MASS52 S. sesban
MASS53 S. sesban
3 mm diameter, pink, translucent, milky centre,
dome,
shinny
and
moderate
gummy
exoplysaccharides
A
4 mm, milky suspensions, shiny, raised and
watery
A
2 mm diameter, milky suspensions, shiny, raised
and watery
A
4 mm diameter, transparent, shiny, dome and
copious watery exopolysaccharides
A
4 mm diameter, transparent, shiny, dome and
copious watery exopolysaccharides
A
1.0 mm diameter, milky opaque, dome, shiny,
and no exopolysaccharides
A
2 mm diameter, milky suspensions, shiny, raised
and watery
A
2.5 mm diameter, milky suspensions, shiny,
raised and watery
A
3 mm diameter, pink, translucent, milky centre,
dome,
shinny
and
moderate
gummy
exoplysaccharides
A
Mbale
MASS54 S. sesban
MASS55 S. sesban
167
MASS56 S. sesban
MASS57 S. sesban
MASS59 S. sesban
MASS60 S. sesban
MASS61 S. sesban
1.0 mm diameter., milky opaque, dome, shiny,
and no exopolysaccharides
A
2.5 mm diameter, milky suspensions, shiny,
raised and watery
A
1.0 mm diameter, milky opaque, dome, shiny,
and no exopolysaccharides
A
2 mm diameter, milky suspensions, shiny, raised
and watery
A
2 mm diameter, milky suspensions, shiny, raised
and watery
B
3 mm diameter, pink, translucent, milky centre,
dome,
shinny
and
moderate
gummy
exoplysaccharides
A
3 mm diameter, pink, translucent, milky centre,
dome,
shinny
and
moderate
gummy
exoplysaccharides
A
<1.0 mm diameter, transparent, dome shaped,
tiny
B
3 mm diameter, pink, translucent, milky centre,
dome,
shinny
and
moderate
gummy
exoplysaccharides
A
3 mm diameter, pink, translucent, milky centre,
dome,
shinny
and
moderate
gummy
exoplysaccharides
A
<1.0 mm diameter, transparent, dome shaped,
tiny
A
<1.0 mm diameter, transparent, dome shaped,
tiny
A
3 mm diameter, pink, translucent, milky centre,
dome,
shinny
and
moderate
gummy
exoplysaccharides
A
Kabale
62 S. sesban
63 S. sesban
64 S. sesban
65 S. sesban
66 S. sesban
67 S. sesban
68 S. sesban
69 S. sesban
BTB, Bromothymol blue; A, acid; B, alkaline.
168
Appendix III: Growth characteristics of Sesbania sesban rhizobial isolates from
Tanzania on YEMA media
Isolate/Host
Characteristics per study site
BTB
SUA
MASS41 S. sesban
MASS42 S. sesban
MASS43 S. sesban
MASS44 S. sesban
MASS45 S. sesban
MASS46 S. sesban
<1.0 mm diameter, transparent, dome shaped,
tiny
A
<1.0 mm diameter, transparent, dome shaped,
tiny
A
4 mm diameter, transparent, shiny, dome and
copious watery exopolysaccharides
A
2 mm diameter, milky suspensions, shiny, raised
and watery
A
4 mm diameter, transparent, shiny, dome and
copious watery exopolysaccharides
A
3 mm diameter, pink, translucent, milky centre,
dome,
shinny
and
moderate
gummy
exoplysaccharides
A
<1.0 mm diameter, pink, translucent, flat, dull
and dry, no exopolysaccharides
B
3 mm diameter, pink, translucent, milky centre,
dome,
shinny
and
moderate
gummy
exoplysaccharides
A
2 mm diameter, milky suspensions, shiny, raised
and watery
A
<1.0 mm diameter, pink, translucent, flat, dull
and dry, no exopolysaccharides
B
3 mm diameter, pink, translucent, milky centre,
dome,
shinny
and
moderate
gummy
exoplysaccharides
A
2 mm diameter, milky suspensions, shiny, raised
and watery
A
4 mm diameter, transparent, shiny, dome and
copious watery exopolysaccharides
A
3 mm diameter, pink, translucent, milky centre,
dome,
shinny
and
moderate
gummy
exoplysaccharides
A
1.0 mm diameter, milky opaque, dome, shiny,
and no exopolysaccharides
B
Lushoto
MASS29 S. sesban
MASS30 S. sesban
MASS31a S. sesban
MASS31b S. sesban
MASS32 S. sesban
MASS33 S. sesban
MASS34 S. sesban
MASS35 S. sesban
MASS36 S. sesban
169
MASS37 S. sesban
MASS38 S. sesban
MASS39 S. sesban
MASS40 S. sesban
3 mm diameter, pink, translucent, milky centre,
dome,
shinny
and
moderate
gummy
exoplysaccharides
A
4 mm diameter, red, opaque, shiny, raised and
moderate gummy exopolysaccharides
A
2 mm diameter, milky suspensions, shiny, raised
and watery
A
4 mm diameter, red, opaque, shiny, raised and
moderate gummy exopolysaccharides
A
BTB, Bromothymol blue; A, acid
Appendix IV: Growth characteristics of sesbania rhizobial isolates from Namibia
YEMA media
Isolate/Host
Characteristics per study site
BTB
Namibia
1 S. macowaniana
2 mm diameter, pink translucent, flat, dull
A
2 S. sphaerosperma
3 mm diameter, pink, translucent, milky centre,
dome,
shinny
and
moderate
gummy
exoplysaccharides
N
4 mm diameter, transparent, margin brown
centre, raised, gummy, mucoid, shinny
A
4 mm diameter, transparent, shiny, dome and
copious watery exopolysaccharides
A
9 S. pachycarpa
0.5 mm diameter, red, raised dry, shinny
A
10 S. sphaerosperma
3 mm diameter, pink, translucent, milky centre,
dome,
shinny
and
moderate
gummy
exoplysaccharides
N
<1 mm diameter, pink, translucent, flat, dull and
dry, no exopolysaccharides
B
1 mm diameter., milky opaque, dome, shiny, and
no exopolysaccharides
N
4 mm diameter, transparent, raised, watery
mucous, banana smell
A
<1 mm diameter, pink, translucent, flat, dull and
dry, no exopolysaccharides
N
16 S. pachycarpa
<1 mm diameter, clear, raised, dry, shinny
A
17 S. bispinosa
0.5 mm, pink, translucent, raised, dull, dry
B
18 S. sesban
4 mm diameter, transparent, shiny, dome and
copius viscous EPS
A
3 mm diameter, pink translucent, milky, raised,
mucoid, shinny
A
4 S. pachycarpa
8 S. sesban
11 S. bispinosa
12 S. sphaerosperma
13 S. sesban
15 S. macowaniana
19 S. macowaniana
170
20 S. cinerascens
1 mm diameter., milky opaque, dome, shiny, and
no exopolysaccharides
A
4 mm diameter, transparent, shiny, dome and
copious watery exopolysaccharides
A
3 mm diameter, pink, translucent, milky centre,
dome,
shinny
and
moderate
gummy
exoplysaccharides
A
<1 mm diameter, pink, translucent, flat, dull and
dry, no exopolysaccharides
A
25 S. macowaniana
0.5 mm diameter, red, flat, dry, shinny
A
26 S. macowaniana
4 mm diameter, transparent, shiny, dome and
copious watery exopolysaccharides
A
27 S. macowaniana
<1.0 mm diameter, red, flat, dry, shinny
A
28 S. cinerascens
4 mm diameter, transparent, shiny, dome and
copious watery exopolysaccharides
A
4 mm diameter, transparent, shiny, dome and
copious watery exopolysaccharides
A
4 mm diameter, transparent, shiny, dome and
copious watery exopolysaccharides
A
<1.0 mm diameter, pink, translucent, flat, dull
and dry, no exopolysaccharides
B
4 mm diameter, red, opaque, shiny, raised and
moderate gummy exopolysaccharides
B
3 mm diameter, pink, translucent, milky centre,
dome,
shinny
and
moderate
gummy
exoplysaccharides
A
38 S. sesban
2 mm diameter, pink translucent, flat, dull, dry
A
39 S. macowaniana
4 mm diameter, transparent, shiny, dome and
copious watery exopolysaccharides
N
3 mm diameter, pink, translucent, milky centre,
dome,
shinny
and
moderate
gummy
exoplysaccharides
A
4 mm diameter, transparent, shiny, dome and
copious watery exopolysaccharides
A
42 S. macowaniana
3 mm diameter, milky, translucent, flat, dry
A
43 S. macowaniana
2 mm diameter, milky, translucent, flat, dry
A
44 S. pachycarpa
2 mm diameter, pink opaque, raised, dry, dull
A
45 S. pachycarpa
4 mm diameter, transparent, shiny, dome and
copious watery exopolysaccharides
A
4 mm diameter, red, opaque, shiny, raised and
moderate gummy exopolysaccharides
N
21 S. sesban
22 S. macowaniana
24 S. macowaniana
31 S. cinerascens
34 S. sphaerosperma
35 S. sesban
36 S. pachycarpa
37 S. cinerascens
40 S. cinerascens
41 S. sphaerosperma
49 S. pachycarpa
171
50 S. rostrata
51 S. pachycarpa
56 S. pachycarpa
57 S. sesban
58 S. pachycarpa
59 S. pachycarpa
60 S. pachycarpa
62 S. pachycarpa
68 S. sesban
69 S. microphylla
70 S. microphylla
71 S. macowaniana
4 mm diameter, transparent, shiny, dome and
copious watery exopolysaccharides
B
4 mm diameter, transparent, shiny, dome and
copious watery exopolysaccharides
A
3 mm diameter, pink, translucent, milky centre,
dome,
shinny
and
moderate
gummy
exoplysaccharides
N
<1.0 mm diameter, pink, translucent, flat, dull
and dry, no exopolysaccharides
N
4 mm diameter, red, opaque, shiny, raised and
moderate gummy exopolysaccharides
A
4 mm diameter, red, opaque, shiny, raised and
moderate gummy exopolysaccharides
A
4 mm diameter, transparent, shiny, dome and
copious watery exopolysaccharides
A
3 mm diameter, pink, translucent, milky centre,
dome,
shinny
and
moderate
gummy
exoplysaccharides
N
4 mm diameter, transparent, shiny, dome and
copious watery exopolysaccharides
N
4 mm diameter, transparent, shiny, dome and
copious watery exopolysaccharides
B
4 mm diameter, transparent, shiny, dome and
copious watery exopolysaccharides
B
5 mm diameter, milky, translucent, shiny, dome
and copious friable exopolysaccharides
B
BTB, Bromothymol blue; A, acid; B, alkaline; N, neutral.