Molecular characterization of intra-population variability of <Emphasis Type="Italic">Jatropha curcas</Emphasis> L. using DNA based molecular markers

Jatropha curcas L. (Euphorbiaceae) has acquired a great importance as a renewable source of energy with a number of environmental benefits. Very few attempts were made to understand the extent of genetic diversity of J. curcas germplasm. In the present study, efforts were made to analyze the genetic diversity among the elite germplasms of J. curcas, selected on the basis of their performance in field using random amplified polymorphic DNA (RAPD), amplified fragment length polymorphism (AFLP) and simple sequence repeats (SSR). The plants were selected on the basis of height, canopy circumference, number of seeds per fruit, weight of 100 seeds, seed yield in grams per plant and oil content. Out of 250 RAPD (with 26 primers), 822 AFLP (with 17 primers) and 19 SSR band classes, 141, 346 and 7 were found to be polymorphic, respectively. The percentage polymorphism among the selected germplasms using RAPD, AFLP and SSR was found to be 56.43, 57.9, and 36.84, respectively. The Jaccard’s similarity coefficient was found 0.91, 0.90 and 0.91 through RAPD, AFLP and SSR marker systems, respectively. Principle component analysis (PCA) and dendrogarm analysis of genetic relationship among the germplasm using RAPD, AFLP and SSR data showed a good correlation for individual markers. The germplasm JCC-11, 12, 13, 14 and 15 whose yield found to be high were clustered together in dendrogram and PCA analysis though JCC11 is geographically distinct from others. In overall analysis JCC6 (in RAPD), JCC8 (in AFLP) and JCC 6 and JCC10 (in SSR) were found genetically diverse. Characterization of geographically distinct and genetically diverse germplasms with varied yield characters is an important step in marker assisted selection (MAS) and it can be useful for breeding programs and QTL mapping.     

Isolation of novel microsatellites using FIASCO by dual probe enrichment from Jatropha curcas L. and study on genetic equilibrium and diversity of Indian population revealed by isolated microsatellites

Jatropha curcas L. belongs to family Euphorbiaceae, native to South America attained significant importance for its seed oil which can be converted to biodiesel, a renewable energy source alternative to conventional petrodiesel. Very few attempts were made to isolate novel microsatellite markers and assessment of the extent of genetic equilibrium and diversity that exists in J. curcas. Therefore, the present investigation was undertaken to isolate the novel microsatellites and access genetic equilibrium, diversity that exists among 44 diverse germplasm collected from distinct geographical areas in India using isolated microsatellites. The overall efficiency of the enrichment of microsatellite by dual probe in the present study found to be 54% and among the sequences obtained the percentage of sequences having suitable flanking regions for the primer designing was found to be 89.58%. The mean co-efficient of genetic similarity (CGS) was found to be 0.97. The overall diversity obtained by microsatellites was found to be low in comparison with the diversity reported by multilocus markers systems observed in earlier studies; however, the good allele polymorphism was observed. The overall dendrogram of microsatellite analysis resulted in random clustering of germplasm and not in accordance to geographical area of collection. The present study, diversity analysis using microsatellite markers concludes the low genetic diversity and genetic disequlibrium of J. curcas in India and will provide pavement for further intra-population studies on narrow geographical areas to understand the population genetic structure, phylogeography and molecular ecological studies. The germplasm characterized, and the microsatellite markers isolated and characterized in the present study can be employed efficiently in breeding programs for genetic improvement of the species through marker assisted selection and QTL analysis, for further genetic resource management and help in making the J. curcas as potential crop with superior agronomical traits.     

Comparative study of interspecific genetic divergence and phylogenic analysis of genus <Emphasis Type="Italic">Jatropha</Emphasis> by RAPD and AFLP

Genus Jatropha with 172 species having significant economic importance belongs to the family Euphorbiaceae. There are no reports on molecular characterization and phylogenetic relationship among the species of Jatropha. Hence, the present study was undertaken to assess the extent of genetic variability that exist and also to establish phylogenetic relationship among Jatropha curcas, J. glandulifera, J. gossypifolia, J. integerrima, J. multifida, J. podagrica and J. tanjorensis using RAPD and AFLP. The percentage of loci that are polymorphic among the species studied was found to be 97.74% by RAPD and 97.25% by AFLP. The mean percentage of polymorphism (PP) was found to be 68.48 by RAPD and 71.33 by AFLP. The phylogram generated with RAPD and AFLP data showed maximum similarity. With the generated data maximum relatedness was found between J. curcas and J. integerrima this may be the reason for the success of inter hybrid crosses between these two species. Neither RAPD nor AFLP data generated in this study supports the view of J. tanjorensis, a natural interspecific hybrid between J. curcas and J. gossypifolia. The present study concludes that both RAPD and AFLP techniques are comparable in divergence studies of Jatropha species. The markers generated by RAPD and AFLP can be employed efficiently for interspecific hybrids identification, marker assisted selection and genetic resource management.     

Application of SSR and AFLP to the analysis of genetic diversity in <Emphasis Type="Italic">Gracilariopsis lemaneiformis</Emphasis> (Rhodophyta)

The agarophyte Gracilariopsis lemaneiformis is both important for biological research and of significant economic value. However, the genetic diversity of wild populations of the alga has not been studied. We used amplified fragment length polymorphism (AFLP) PCR and simple sequence repeat (SSR) analysis to investigate diversity in four field populations, three from the coast of Qingdao and one from Weihai, China. Forty G. lemaneiformis isolates collected from the four different geographical groups were analyzed using 16 pairs of SSR primers for PCR amplification. However, no polymorphisms were detected, indicative of a degree of genetic homogeneity. A total of 347 reproducible bands were then amplified using eight AFLP primer pairs, and genetic indices of diversity within and between populations were calculated. This analysis revealed only low levels of genetic diversity both within and between the four geographical groups of G. lemaneiformis. The Weihai population showed a higher within-population genetic diversity than any of the Qingdao populations. The data suggest that there is only limited gene flow between populations. An UPGMA dendrogram revealed two main clusters, and one of these included all the Qingdao isolates. The order of clustering was in accordance with their geographical distribution. These results suggest that the wild G. lemaneiformis populations are closely related and that there is little genetic diversity within wild germplasm in the regions sampled.     

AFLP and RAPD Characterization of Phaeoacremonium aleophilum Associated with Vitis vinifera Decline in Spain

The genetic diversity among Spanish isolates of the fungus Phaeoacremonium aleophilum, one of the major causes of grapevine decline, was determined using random amplified polymorphic DNA (RAPD) and amplified fragment length polymorphism (AFLP) techniques. Using RAPD, a large genetic variation was observed among 36 Pm. aleophilum single‐spore cultures, with 76 (82.6%) polymorphic bands generated by 12 RAPD primers. A neighbour‐joining dendrogram showing the RAPD patterns of diversity revealed four groups of haplotypes. The Bayesian and principal components clustering analysis revealed three groups of haplotypes. When more than one isolate of Pm. aleophilum was obtained from a single vine, different haplotypes were found. Seventeen single‐spore isolates were used for AFLP analysis. Five primer combinations produced 358 scorable markers, of which 309 (86.3%) were polymorphic. The analysis based on genetic distance as well as clustering analysis confirmed three main groups largely in agreement with those returned by the RAPD results. The Mantel correlation between the RAPD and AFLP distance matrices ranged from R = 0.5931 to R = 0.6294. The high level of haplotype diversity among the RAPD and AFLP markers suggests that sexual reproduction and genetic recombination may occur between Pm. aleophilum haplotypes in Spain. The AFLP approach revealed a greater number of polymorphic markers. A relationship between the genetic profile of the infecting isolate of Pm. aleophilum and the age or decline symptoms of the grapevines may exist.     

AFLP analysis of genetic diversity of Jatropha curcas grown in Hainan, China

Amplified fragment length polymorphism (AFLP) was used to determine the genetic diversity among 38 populations of Jatropha curcas L. grown in a seed source trial in Hainan Province of China. The populations studied consisted of one source from Indonesia and 37 sources from the main cultivating areas of jatropha in China, viz. Guangdong (1), Guangxi (10), Guizhou (4), Hainan (6), Sichuan (8) and Yunnan (8). Nine AFLP primer combinations were used to generate a total of 246 fragments, of which 72 (26.99%) were polymorphic. Three-marker attributes: polymorphism information content (PIC), marker index (MI) and resolving power (RP), were all found to be reliable to determine the discriminatory power of the nine primer combinations. The Jaccard’s similarity coefficient showed a high similarity range from 0.866 to 0.977, suggesting a low genetic diversity among the 38 populations. The UPGMA-based dendrogram and biplot of a principal component analysis did not reveal a clear pattern of groupings by geographic locations of the seed sources; populations from across different provinces were mixing in the same groups. The low genetic diversity and a lack of variation pattern among the populations in China suggest that it is necessary to import new germplasm preferably from the species’ natural distribution range to broaden the genetic base for improvement program.     

Conservation genetics of endangeredBrasenia schreberi based on RAPD and AFLP markers

Brasenia schreberi J.F. Gmelin is a declared endangered species found in the lakes and ponds of South Korea. For planning its conservation strategy, we examined the genetic diversity within and among six populations, using randomly amplified polymorphic DNA (RAPD) and amplified fragment length polymorphism (AFLP). Polymorphisms were more frequently detected per loci with AFLP (69.3%) than RAPD (36.8%). High genetic diversity was recognized within populations: polymorphic loci (PPL) values ranged from 36.3% in the CJM population to 74.5% in the GGT population, with a mean value of 47.8% based on AFLP markers. Great genetic differentiation (θ^B) was detected among the six populations (0.670 on RAPD and 0.196 on AFLP), and we calculated a low rate of gene flow (N_em), i.e., 0.116 on RAPD and 0.977 on AFLP. Furthermore, a Mantel test revealed that no correlation existed between genetic distances and geographical distances among the six local populations, based on RAPD or AFLP markers. These results are attributed to a number of factors, including an insufficient length of time for genetic diversity to be reduced following a natural decline in population size and isolation, adaptation of the genetic system to small population conditions, and a restricted gene flow rate. Based on both its genetic diversity and population structure, we suggest that a strategy for conserving and restoringB. schreberi must focus on maintaining historical processes, such as high levels of outbreeding, while monitoring increased gene flow among populations. This is because a reduction in genetic diversity as a result of genetic drift is undesirable.     

Genotypic analysis of Nomuraea rileyi collected from various noctuid hosts

The genetic diversity of 79 Nomuraea rileyi isolates from various lepidopteran hosts in Asia, North America, and South America was evaluated using amplified fragment length polymorphism (AFLP) analysis. Cluster analysis separated the N. rileyi isolates into two major groups and seven subgroups. The resulting dendrogram generally classified the N. rileyi isolates based on insect host and geographical region. The haplotypic diversity index of N. rileyi subpopulations from each location and host origin was ranging from 0.8788 to 1.000. However, analysis of molecular variance (AMOVA) demonstrated no significant differences (p =0.3421) among N. rileyi isolates from different continents. Whereas the genetic variation among the N. rileyi populations from the different host insects within each continent was significantly different (p <0.0001).     

Phylogeography and molecular diversity analysis of Jatropha curcas L. and the dispersal route revealed by RAPD,AFLP and nrDNA-ITS analysis

Jatropha curcas L. (Euphorbiaceae) has acquired a great importance as a renewable source of energy with a number of environmental benefits. Very few attempts were made to understand the extent of genetic diversity and its distribution. This study was aimed to study the diversity and deduce the phylogeography of Jatropha curcas L. which is said to be the most primitive species of the genus Jatropha. Here we studied the intraspecific genetic diversity of the species distributed in different parts of the globe. The study also focused to understand the molecular diversity at reported probable center of origin (Mexico), and to reveal the dispersal route to other regions based on random amplified polymorphic DNA, amplified fragment length polymorphism and nrDNA-ITS sequences data. The overall genetic diversity of J. curcas found in the present study was narrow. The highest genetic diversity was observed in the germplasm collected from Mexico and supports the earlier hypothesis based on morphological data and natural distribution, it is the center for origin of the species. Least genetic diversity found in the Indian germplasm and clustering results revealed that the species was introduced simultaneously by two distinct germplasm and subsequently distributed in different parts of India. The present molecular data further revealed that J. curcas might have spread from the center of the origin to Cape Verde, than to Spain, Portuguese to other neighboring countries and simultaneously to Africa. The molecular evidence supports the Burkill et al. (A dictionary of the economic products of the Malay Peninsula, Governments of Malaysia and Singapore by the Ministry of Agriculture and Co-operatives. Kuala Lumpur, Malaysia, 1966) view of Portuguese might have introduced the species to India. The clustering pattern suggests that the distribution was interfered by human activity.     

A Comparison of AFLP and RAPD Markers for Genetic Diversity and Cultivar Identification in Cotton

AFLP and RAPDmarkers were employed in sixteen diploid cotton (Gossypium sp) cultivars for genetic diversity estimation and cultivar identification. Polymorphism information content (PIC) and percent polymorphism were found to be more for AFLP markers as compared to RAPD markers. Average Jaccard’s genetic similarity index was found to be almost similar using either AFLP or RAPD markers. All the cultivars could be distinguished from one another using AFLP markers and also by the combined RAPD profiles. Cultivar identification indicators like resolving power, marker index and probability of chance identity of two cultivars suggested the usefulness of AFLP markers over the RAPD markers. AFLP and RAPD analyses revealed limited genetic diversity in the studied cultivars. Cluster analysis of both RAPD and AFLP data produced two clusters, one containing cultivars of G. herbaceum and another containing cultivars of G. arboreum species. Highly positive correlation between cophenetic matrices using RAPD and AFLP markers was observed. AFLP markers were found to be more efficient for genetic diversity estimation, polymorphism detection and cultivar identification.     

Comparative study of different molecular markers for classifying and establishing genetic relationships in Coffea canephora

The genetic variability characterization of the accessions of the germplasm collection, using molecular markers, is being applied as a complementary strategy to the traditional approaches to redefine the plant genetic resources. In this study, we compared the informativeness and efficiency of the molecular markers RAPD, AFLP and SSR in the analysis of 94 accessions of Coffea canephora germplasm held by the breeding program of the Brazilian Agricultural Research Corporation (Embrapa), Rondônia State, Brazil. For this, we considered the marker’s discriminatory power and level of polymorphism detected and also the genetic relationships and clustering (dendrogram) analysis. The RAPD marker yielded low-quality data and problems in the discrimination of some accessions, being less recommended for genetic studies of C. canephora. The SSRs had a higher level of information content and yielded high-quality data, while AFLP was the most efficient marker system because of the simultaneous detection of abundant polymorphism markers per few reactions. Our results indicate that AFLP and SSR, allies to the intrinsic characteristics of each technique, are the most suitable molecular markers for genetic studies of C. canephora. However, the choice of AFLP or SSR in the species characterization should be made in agreement with some characteristics that are discussed in this work.     

Assessment of genetic diversity among and within Achillea species using amplified fragment length polymorphism (AFLP)

Amplified fragment length polymorphism (AFLP) markers were used to assess the genetic diversity of 57 Achillea accessions belonging to five species, A. millefolium, A. filipendulina, A. tenuifolia, A. santolina and A. biebersteinii. Nine AFLP primer combinations were used, which produced 301 polymorphic bands. In most species, a high level of genetic variation was detected among the genotypes. The Jaccard's similarity indices (J), based on AFLP profiles, were subjected to UPGMA cluster analysis. Application of Mantel's test for cophenetic correlation to the cluster analysis indicated the high fitness of the accessions to a group (r = 0.918). The dendrogram generated revealed five major groups corresponding to five species. The principle coordinate analysis (PCoA) data confirmed the results of the clustering. Among the species, A. teunifolia and A. santolina showed the greatest and the least genetic diversity, respectively. A. filipendulina accessions were acquired primarily from the same ecological regions of western Iran. Accessions belonging to A. biebersteinii originated from the Isfahan province and were separated from other species at the root of the dendrogram. The results of the clustering method, based on AFLP markers, corresponded closely with the geographical origins of the genotypes. The results of the present study could contribute to a better understanding and management of conservation and exploitation of the Achillea germplasm.     

Molecular characterization and identification of markers for toxic and non-toxic varieties of <Emphasis Type="Italic">Jatropha curcas</Emphasis> L. using RAPD,AFLP and SSR markers

Jatropha curcas L., a multipurpose shrub has acquired significant economic importance for its seed oil which can be converted to biodiesel, is emerging as an alternative to petro-diesel. The deoiled seed cake remains after oil extraction is toxic and cannot be used as a feed despite having best nutritional contents. No quantitative and qualitative differences were observed between toxic and non-toxic varieties of J. curcas except for phorbol esters content. Development of molecular marker will enable to differentiate non-toxic from toxic variety in a mixed population and also help in improvement of the species through marker assisted breeding programs. The present investigation was undertaken to characterize the toxic and non-toxic varieties at molecular level and to develop PCR based molecular markers for distinguishing non-toxic from toxic or vice versa. The polymorphic markers were successfully identified specific to non-toxic and toxic variety using RAPD and AFLP techniques. Totally 371 RAPD, 1,442 AFLP markers were analyzed and 56 (15.09%) RAPD, 238 (16.49%) AFLP markers were found specific to either of the varieties. Genetic similarity between non-toxic and toxic verity was found to be 0.92 by RAPD and 0.90 by AFLP fingerprinting. In the present study out of 12 microsatellite markers analyzed, seven markers were found polymorphic. Among these seven, jcms21 showed homozygous allele in the toxic variety. The study demonstrated that both RAPD and AFLP techniques were equally competitive in identifying polymorphic markers and differentiating both the varieties of J. curcas. Polymorphism of SSR markers prevailed between the varieties of J. curcas. These RAPD and AFLP identified markers will help in selective cultivation of specific variety and along with SSRs these markers can be exploited for further improvement of the species through breeding and Marker Assisted Selection (MAS).     

Genetic monitoring of populations of <Emphasis Type="Italic">Matthiola Fragrans</Emphasis> (Bunge) using RAPD and AFLP analysis

The possibility of using RAPD and AFLP methods for genetic monitoring of populations of Matthiola fragrans (Bunge), a species included in the Red Book of the USSR, was shown for the first time. An analysis of inter- and intrapopulation and interspecies genome polymorphism was performed. Differences in the genetic structure of Matthiola populations from various geographical collection points were revealed. A simple method of performing RAPD analysis and the great number of unique markers found in each population compared with the AFLP analysis, as well as the good division of populations under statistical treatment, allow us to draw the conclusion that using the RAPD method in genetic monitoring of rare and insufficiently studied species is well founded.     

Genetic diversity and relationships among germplasm of Jatropha curcas L. revealed by RAPDs

Variation is the phenomenon where individuals of a population differ from each other. The variation or diversity can have morphological manifestation or genetic basis. Individual identification based on morphological record is the most common practice in Jatropha. Therefore, in order to find a proper method for estimation of genetic diversity and genetic relationships among different germplasm of Jatropha curcas L., random amplified polymorphic DNA (RAPD) technique based on polymerase chain reaction (PCR) was used for described purpose. Out of 55 decamer primers tested, 26 primers produced good amplification products. A total of 6,011 amplification products were scored from which only 1,859 bands (30.92%) were found to be polymorphic and the size of bands ranged from 300 to 2,500 bp. Unweighted pair group method using arithmetic average cluster analysis revealed clear genetic difference among J. curcas germplasm. The scientific data presented in this study suggests that RAPD-PCR could be used as a valuable tool for estimation of genetic diversity and genetic relationship among germplasm of J. curcas L.     

Analysis of genetic diversity in Phytophthora colocasiae causing leaf blight of taro (Colocasia esculenta) using AFLP and RAPD markers

The oomycetous fungus Phytophthora colocasiae that causes taro leaf blight is one of the most devastating diseases of taro and is widely distributed in India. Molecular and cultural techniques were employed for assessing and exploiting the genetic variability among isolates of P. colocasiae obtained from different geographical regions of India. Analysis of the 5.8-ITS region revealed detectable intraspecific variation among isolates. Ten random amplified polymorphic DNA (RAPD) and eight amplified fragment length polymorphism (AFLP) primers produced 198 and 510 reproducible fragments, respectively. AFLP produced 100 % polymorphism, whereas RAPD showed 93.5 % polymorphism. The average value of the number of observed alleles, the number of effective alleles, mean Nei’s genetic diversity, and Shannon’s information index were 2.00–1.94, 1.53–1.36, 0.31–0.24, and 0.47–0.40, respectively, for two DNA markers used. Analysis of molecular variance (AMOVA) for both markers produced similar results with the majority (85 %, AFLP; 89 %, RAPD) of the diversity present within population of P. colocasiae. Dendrograms based on two molecular data using the unweighted pair group method with arithmetic mean (UPGMA) was incongruent and classified the P. colocasiae isolates into one and two major clusters. Cophenetic correlation coefficient between dendrogram and original similarity matrix were significant for RAPD (r?=?0.904) and AFLP (r?=?0.825). The results of this study displayed a high level of genetic variation among the isolates irrespective of the geographical origin. The possible mechanisms and implications of this genetic variation are discussed.     

Assessment of genetic diversity in 31 species of mangroves and their associates through RAPD and AFLP markers

Random amplified polymorphic DNA (RAPD) and amplified fragment length polymorphism (AFLP) markers were used to assess the genetic diversity in 31 species of mangroves and mangrove associates. Four AFLP primer combinations resulted in the amplification of 840 bands with an average of 210 bands per primer combination and 11 RAPD primers yielded 319 bands with an average of 29 bands per primer. The percentage of polymorphism detected was too high indicating the high degree of genetic variability in mangrove taxa both at inter- and intra-generic levels. In the dendrogram, species belonging to a particular family/ genus, taxa inhabiting similar habitats or having similar adaptations tended to be together. There were exceptions too; as many unrelated species of mangroves form clusters. The intrafamilial classification and inter-relationships of genera in the family Rhizophoraceae could be confirmed by molecular analysis. Both the markers RAPD and AFLP were found equally informative and useful for a better understanding of the genetic variability and genome relationships among mangroves and their associated species.     

Genetic Relationship of <Emphasis Type="Italic">Curcuma</Emphasis> Species from Northeast India Using PCR-Based Markers

Molecular genetic fingerprints of nine Curcuma species from Northeast India were developed using PCR-based markers. The aim involves elucidating there intra- and inter-specific genetic diversity important for utilization, management, and conservation. Twelve random amplified polymorphic DNA (RAPD), 19 Inter simple sequence repeats (ISSRs), and four amplified fragment length polymorphism (AFLP) primers produced 266 polymorphic fragments. ISSR confirmed maximum polymorphism of 98.55% whereas RAPD and AFLP showed 93.22 and 97.27%, respectively. Marker index and polymorphic information content varied in the range of 8.64–48.1, 19.75–48.14, and 25–28 and 0.17–0.48, 0.19–0.48, and 0.25–0.29 for RAPD, ISSR, and AFLP markers, respectively. The average value of number of observed alleles, number of effective alleles, mean Nei’s gene diversity, and Shannon’s information index were 1.93–1.98, 1.37–1.62, 0.23–0.36, and 0.38–0.50, respectively, for three DNA markers used. Dendrograms based on three molecular data using unweighted pair group method with arithmetic mean (UPGMA) was congruent and classified the Curcuma species into two major clusters. Cophenetic correlation coefficient between dendrogram and original similarity matrix were significant for RAPD (r = 0.96), ISSR (r = 0.94), and AFLP (r = 0.97). Clustering was further supported by principle coordinate analysis. High genetic polymorphism documented is significant for conservation and further improvement of Curcuma species.     

Evaluation of genetic diversity and germ plasm identification of 44 species, clones, and cultivars from 5 sections of the genusPopulus based on amplified fragment length polymorphism analysis

The genusPopulus L. (Salicaceae) can be divided into 5 sections with distribution throughout the world. Accurate identification ofPopulus clones and species is essential for effective selection, breeding, and management of genetic resources. In this study, amplified fragment length polymorphism (AFLP) analysis, which was reported as a reliable technique with high efficiency in detecting polymorphism, was used to conduct analyses of genetic diversity and variety identification of 44 species, clones, and cultivars ofPopulus that represent a wide range of breeding and commercially available germplasms. Cluster analysis of the 44 samples was carried out, and a dendrogram of genetic relatedness was developed on the basis of the AFLP data. DNA fingerprints of the 44 samples were developed from 12 selected bands amplified with 2 primer combinations (M-CAG/E-TA and M-CAG/E-TC). Each sample has its unique fingerprint pattern and can be distinguished from the others. Furthermore, 1 specific AFLP band of the cultivarPopulus canadensis cl. Guariento coming from fragments amplified by primer combination M-CTC/E-AG was successfully converted into a sequence-characterized amplified region (SCAR) marker. The results indicate that AFLP analysis should be considered as the preferred technique for the study of polymorphism inPopulus. This research is the first report concerning the use of AFLP analysis in genetic diversity and germplasm identification among all sections ofPopulus.     

Analysis of the genetic diversity of physic nut, <Emphasis Type="Italic">Jatropha curcas</Emphasis> L. accessions using RAPD markers

A sum of 48 accessions of physic nut, Jatropha curcas L. were analyzed to determine the genetic diversity and association between geographical origin using RAPD-PCR markers. Eight primers generated a total of 92 fragments with an average of 11.5 amplicons per primer. Polymorphism percentages of J. curcas accessions for Selangor, Kelantan, and Terengganu states were 80.4, 50.0, and 58.7%, respectively, with an average of 63.04%. Jaccard’s genetic similarity co-efficient indicated the high level of genetic variation among the accessions which ranged between 0.06 and 0.81. According to UPGMA dendrogram, 48 J. curcas accessions were grouped into four major clusters at coefficient level 0.3 and accessions from same and near states or regions were found to be grouped together according to their geographical origin. Coefficient of genetic differentiation (G_st) value of J. curcas revealed that it is an outcrossing species.