Morphological and molecular diversity reveal wide variability among sorghum Maldandi landraces from India

Maldandi is a popular sorghum variety for post-rainy or rabi cultivation in southern and central states of India, which is predominantly used for food purpose. Over time many landraces have been collected from these states which have vernacular connection with Maldandi. Genetic diversity among 82 Maldandi landraces, collected from such geographical regions was evaluated using both morphological (quantitative and qualitative) and SSR markers. In general, both morphological and SSR diversity revealed wide variability among the accessions studied. Euclidean distances based on 17 quantitative traits classified the accessions into two major clusters with two out groups, while the 19 qualitative traits clustered the accessions in one major cluster with six out groups. Sixteen out of 20 (80%) SSR markers detected polymorphism among the accessions with average PIC value of 0.36. Un-weighted neighbor joining clustering grouped the accessions into three clusters with 46, 16 and 17 accessions, respectively throwing three outliers. Average similarity coefficients of 0.62 and 0.34 based on morphological (qualitative) and SSR data indicated presence of wide variability among the Maldandi landraces. The standard check, M 35?C1 (a selection from the original Maldandi) could not be differentiated from EP 98, LG 2, LG 10, IS 4509 and IS 40791 based on qualitative data alone, while EP 54 and IS 33839 were indistinguishable from M 35?C1 solely using SSR markers. Either of the dendrogram threw unique grouping patterns with some identity. Thirteen promising Maldandi accessions selected based on field performance as well as morphological and molecular diversity could be used in the rabi improvement programme. SSR markers combined with morphological traits may effectively be used for designing breeding strategy and management of biodiversity and conservation of Maldandi genetic resources.     

Diversification of indigenous gene- pool by using exotic germplasm in lentil (Lens culinaris Medikus subsp. culinaris)

Genetic diversity was studied among 21 accessions of lentil using SSR markers and morphological traits in order to assess the diversification of Indian gene-pool of lentil through introgression of exotic genes and introduction of germplasm. Among these , 16 genotypes either had ‘Precoz’ gene, an Argentine line in their pedigree or genes from introduced lines from ICARDA. Sixty five SSR markers and eight phenotypic traits were used to analyse the level of genetic diversity in these genotypes. Forty three SSR markers (66 %) were polymorphic and generated a total of 177 alleles with an average of 4.1 alleles per SSR marker. Alleles per marker ranged from 2 to 6. The polymorphic information content ranged 0.33 to 0.80 with an average of 0.57, suggesting that SSR markers are highly polymorphic among the studied genotypes. Genetic dissimilarity based a dendrogram grouped these accessions into two main clusters (cluster I and cluster II) and it ranged 33 % to 71 %, suggesting high level of genetic diversity among the genotypes. First three components of PCA based morphological traits explained higher variance (95.6 %) compared to PCA components based on SSR markers (42.7 %) of total genetic variance. Thus, more diversity was observed for morphological traits and genotypes in each cluster and sub-cluster showed a range of variability for seed size, earliness, pods/plant and plant height. Molecular and phenotypic diversity analysis thus suggested that use of germplasm of exotic lines have diversified the genetic base of lentil germplasm in India. This diversified gene-pool will be very useful in the development of improved varieties of lentil in order to address the effect of climate change, to adapt in new cropping systems niches such as mixed cropping, relay cropping, etc. and to meet consumers’ preference.     

Mapping quantitative trait loci for important agronomic traits in finger millet (<Emphasis Type="Italic">Eleusine coracana</Emphasis>) mini core collection with genomic and genic SSR markers

Allele identification for agro-morphological traits and stress resistance is a major concern across the globe for improving productivity of finger millet. Here, we used 46 genomic and 58 genic simple sequence repeats (SSRs) markers in a set of 66 accessions used to constitute a global mini-core collection for analysing their genetic structure as a population and establishing association among markers and twenty morphological traits including resistance to finger blast. Phenotypic data revealed a wide range of variation for all traits except flag leaf width and flag leaf sheath width. We got amplification of 81 alleles by the 31 genomic SSRs at an average of 2.61 alleles per locus. Polymorphism information content (PIC) values varied from 0.21 to 0.75 and average gene diversity was 0.49. Structure analysis of the population using the genomic SSR data divided the accessions into two clusters where Indian and exotic accessions were grouped in separate clusters. Genic SSRs which were associated with blast resistance genes, amplified 36 alleles at an average of 2 alleles per locus. PIC values ranged from 0.32 to 0.37 and average gene diversity was 0.45. Population structure analysis using data from these SSRs grouped the accessions into three clusters, which broadly correspond to their reaction to blast disease. Twenty-two significant associations were found using the GLM approach for 20 agro-morphological traits both in 2012 and 2014, while, 7 and 5 significant marker-trait associations were identified using MLM in 2012 and 2014 respectively. The SSR markers FMBLEST35 and FMBLEST36 designed from the Pi21 gene sequence of rice were found to be associated with blast disease resistance in finger millet indicating that the gene homologues play a significant role in an important role for neck blast resistance.     

Understanding Genetic Diversity and Population Structure of a Poa pratensis Worldwide Collection through Morphological,Nuclear and Chloroplast Diversity Analysis

Poa pratensis L. is a forage and turf grass species well adapted to a wide range of mesic to moist habitats. Due to its genome complexity little is known regarding evolution, genome composition and intraspecific phylogenetic relationships of this species. In the present study we investigated the morphological and genetic diversity of 33 P. pratensis accessions from 23 different countries using both nuclear and chloroplast molecular markers as well as flow cytometry of somatic tissues. This with the aim of shedding light on the genetic diversity and phylogenetic relationships of the collection that includes both cultivated and wild materials. Morphological characterization showed that the most relevant traits able to distinguish cultivated from wild forms were spring growth habit and leaf colour. The genome size analysis revealed high variability both within and between accessions in both wild and cultivated materials. The sequence analysis of the trnL-F chloroplast region revealed a low polymorphism level that could be the result of the complex mode of reproduction of this species. In addition, a strong reduction of chloroplast SSR variability was detected in cultivated materials, where only two alleles were conserved out of the four present in wild accessions. Contrarily, at nuclear level, high variability exist in the collection where the analysis of 11 SSR loci allowed the detection of a total of 91 different alleles. A Bayesian analysis performed on nuclear SSR data revealed that studied materials belong to two main clusters. While wild materials are equally represented in both clusters, the domesticated forms are mostly belonging to cluster P2 which is characterized by lower genetic diversity compared to the cluster P1. In the Neighbour Joining tree no clear distinction was found between accessions with the exception of those from China and Mongolia that were clearly separated from all the others.     

Molecular Assortment of Lens Species with Different Adaptations to Drought Conditions Using SSR Markers

The success of drought tolerance breeding programs can be enhanced through molecular assortment of germplasm. This study was designed to characterize molecular diversity within and between Lens species with different adaptations to drought stress conditions using SSR markers. Drought stress was applied at seedling stage to study the effects on morpho-physiological traits under controlled condition, where tolerant cultivars and wilds showed 12.8–27.6% and 9.5–23.2% reduction in seed yield per plant respectively. When juxtaposed to field conditions, the tolerant cultivars (PDL-1 and PDL-2) and wild (ILWL-314 and ILWL-436) accessions showed 10.5–26.5% and 7.5%–15.6% reduction in seed yield per plant, respectively under rain-fed conditions. The reductions in seed yield in the two tolerant cultivars and wilds under severe drought condition were 48–49% and 30.5–45.3% respectively. A set of 258 alleles were identified among 278 genotypes using 35 SSR markers. Genetic diversity and polymorphism information contents varied between 0.321–0.854 and 0.299–0.836, with mean value of 0.682 and 0.643, respectively. All the genotypes were clustered into 11 groups based on SSR markers. Tolerant genotypes were grouped in cluster 6 while sensitive ones were mainly grouped into cluster 7. Wild accessions were separated from cultivars on the basis of both population structure and cluster analysis. Cluster analysis has further grouped the wild accessions on the basis of species and sub-species into 5 clusters. Physiological and morphological characters under drought stress were significantly (P = 0.05) different among microsatellite clusters. These findings suggest that drought adaptation is variable among wild and cultivated genotypes. Also, genotypes from contrasting clusters can be selected for hybridization which could help in evolution of better segregants for improving drought tolerance in lentil.     

Evaluation of bamboo genetic diversity using morphological and SRAP analyses

Bamboo is an important member of the giant grass subfamily Bambusoideae of Poaceae. In this study, 13 bamboo accessions belonging to 5 different genera were subjected to morphological evaluation and sequence-related amplified polymorphism (SRAP) analysis. Unweighted pair-group method of arithmetic averages (UPGMA) cluster analysis was used to construct a dendrogram and to estimate the genetic distances among accessions. On the basis of morphological characteristics, the 13 accessions were distinctly classified into 2 major clusters; 3 varieties, PPYX, PGNK, and PLYY were grouped as cluster A, and 10 accessions were categorized under cluster B. Similarity coefficients ranging from 0.23 to 0.96 indicated abundant genetic variation among bamboo varieties. Approximately 38 SRAP primer combinations generated 186 bands, with 150 bands (80.65%) showing polymorphisms among the 13 accessions. Based on SRAP analysis, 13 bamboo accessions were grouped into 3 major clusters. Five species comprised Cluster I (PASL, PLYY, PTSC, SCNK, and BMAK), which belongs to genus Phyllostachys. Cluster II consisted of 5 varieties, PASL, PLYY, PTSC, SCNK, and BMAK; Cluster III included 3 varieties, PGNK, PLSY, and BMRS. Comparison of the results generated by morphological and SRAP analyses showed that the classification based on SRAP markers was more concordant to the taxonomic results of Gamble than that performed using morphological characters, thus suggesting that SRAP analysis is more efficient in evaluating genetic diversity in bamboos compared to morphological analysis. The SRAP technique serves as an alternative method in assessing genetic diversity within bamboo collections.     

Genetic diversity in traditional Ethiopian highland maize accessions assessed by AFLP markers and morphological traits

In the highland regions of Ethiopia the heterogeneity of the land, the climate, and soil favors the presence of a large number of landraces. We analyzed a representative sample of 62 traditional Ethiopian highland maize accessions, using amplified fragment length polymorphism (AFLP^®) markers and morphological traits with the aim to group the accessions based on the their genetic profiles and morphological traits, to study agroecological variation and to assess the level of correlation between phenotypic and genetic distances. Eight EcoRI/MseI primer combinations and 15 morphological traits were used. The accessions varied significantly for all of the measured morphological traits. Of a total of 650 AFLP markers that were scored, 89.5% were polymorphic. Pair-wise genetic distance estimates based on AFLP data revealed dissimilarity coefficients ranging from 0.32 to 0.69 (mean of 0.57). Cluster analysis of the AFLP data grouped most accessions collected from the Northern highlands into one major cluster. It, however, failed to separate the Western and Southern accessions into different clusters. Regardless of the large variation in environmental conditions between agroecologies, only 9% of the total genetic variation was found between agroecologies, whereas 91% was found within agroecologies in Ethiopia. This finding may be explained by long distance seed exchange, continuous seed introduction and gene flow between agroecologies. The relationship between morphological and AFLP-based distances was significant and positive. Based on this study, three groups of highland accessions, with distinctive genetic profiles and morphological traits were identified. This information will be useful for further collections and conservation of the unique diversity included in the highland maize landraces of Ethiopia.     

Analysis of genetic relationship on Amygdalus mira (koehne) Ricker with other peach species using simple sequence repeat (SSR)

Amygdalus mira (Koehne) Ricker is native to China and has many good economical traits. However, its genetic diversity information has not been extensively studied. In this study, to assess the genetic diversity and relationships of A. mira and other peach species (nineteen accessions from Zhengzhou, Henan Province and seven accessions from Harbin) we used simple sequence repeat (SSR) markers. Here, 10 SSR primers were used, and 100% of the SSR primers were polymorphic, with an average of 5.5 alleles per primer pairs, suggesting that these primers were informative for this study. Additionally, polymorphism information content (PIC) value ranged from 0.82 to 0.96 with an average of 0.91. All the accessions were clustered into two groups (cluster 1 and cluster 2) based on SSR data. Principal coordinate analysis recovered similar results that all accessions were divided into two major clusters. The genetic variations within and among populations were 63.9% and 36.1%, respectively. In conclusion, A. mira maintains high genetic variation levels. This research will be potentially useful to aid breeding and enhance the economic and ornamental value of this wild peach.     

Evaluation of Genetic Diversity and Development of a Core Collection of Wild Rice (Oryza rufipogon Griff.) Populations in China

Common wild rice (Oryza rufipogon Griff.), the progenitor of Asian cultivated rice (O. sativa L.), is endangered due to habitat loss. The objectives of this research were to evaluate the genetic diversity of wild rice species in isolated populations and to develop a core collection of representative genotypes for ex situ conservation. We collected 885 wild rice accessions from eight geographically distinct regions and transplanted these accessions in a protected conservation garden over a period of almost two decades. We evaluated these accessions for 13 morphological or phenological traits and genotyped them for 36 DNA markers evenly distributed on the 12 chromosomes. The coefficient of variation of quantitative traits was 0.56 and ranged from 0.37 to 1.06. SSR markers detected 206 different alleles with an average of 6 alleles per locus. The mean polymorphism information content (PIC) was 0.64 in all populations, indicating that the marker loci have a high level of polymorphism and genetic diversity in all populations. Phylogenetic analyses based on morphological and molecular data revealed remarkable differences in the genetic diversity of common wild rice populations. The results showed that the Zengcheng, Gaozhou, and Suixi populations possess higher levels of genetic diversity, whereas the Huilai and Boluo populations have lower levels of genetic diversity than do the other populations. Based on their genetic distance, 130 accessions were selected as a core collection that retained over 90% of the alleles at the 36 marker loci. This genetically diverse core collection will be a useful resource for genomic studies of rice and for initiatives aimed at developing rice with improved agronomic traits.     

Comparison of SSR and cytochrome P-450 markers for estimating genetic diversity in Picrorhiza kurrooa L.

Picrorhiza kurrooa L., a high altitude medicinal plant, is known for its drug content called Kutkin. In the present study, DNA-based molecular marker techniques, viz. simple sequence repeats (SSR) and cytochrome P-450 markers were used to estimate genetic diversity in Picrorhiza kurrooa. Twenty five accessions of Picrorhiza kurrooa, collected from ten different eco-geographical locations were subjected to 22 SSR and eight cytochrome P-450 primer pairs, out of which 13 SSR markers detected mean 5.037 alleles with a mean polymorphic information content (PIC) of 0.7718, whereas eight cytochrome P-450 markers detected mean 5.0 alleles with a mean PIC of 0.7596. Genetic relationship among the accessions was estimated by constructing the dendrograms using SSR and cytochrome P-450 data. There was a clear consistency between SSR and cytochrome P-450 trees in terms of positioning of most Picrorhiza accessions. SSR markers could cluster various Picrorhiza kurrooa accessions based on their geographical locations whereas cytochrome P-450 markers could cluster few accessions as per their geographical locations. The Mantel test between SSR and cytochrome P-450 markers revealed a good fit correlation (r = 0.6405). The dendrogram constructed using the combined data of SSR and cytochrome P-450s depicted two clusters of accessions based on its eco-geographical locations whereas two clusters contained the accessions from mixed eco-geographical locations. Overall, the results of the present study point towards quiet high degree of genetic variation among the accessions of each eco-geographic region.     

Assessing genetic diversity in Ziziphus jujuba ‘Jinsixiaozao’ using morphological and microsatellite (SSR) markers

Ziziphus jujuba ‘Jinsixiaozao’ is one of the most elite Chinese jujube variety with a long cultivation history. There are many different types and newly developed accessions of ‘Jinsixiaozao’ reported, however the names are in chaotic. For the accurate identification of the accessions and estimating the genetic diversity, the diversity and relationships of the 45 ‘Jinsixiaozao’ accessions were evaluated by 49 morphological traits and 24 highly polymorphic genomic SSR primers. The UPGMA dendrogram based on morphological traits separated the accessions into four major groups with Euclidean distance ranging from 4.26 to 12.26. Six of 24 SSR primers produced polymorphic patterns with a total of 17 alleles. Cluster analysis using UPGMA and Jaccard‘s coefficient grouped the accessions into eight groups. The SSR markers failed to distinguish the majority of the analyzed accessions, and a negative percentage of variation was partitioned. These results indicated low genetic diversity among the collected accessions. The mantel test revealed a weak negative correlation (r = −0.051) between the morphological dissimilarity matrix and that based on SSR markers.     

Expanding the repertoire of microsatellite markers for polymorphism studies in Indian accessions of mung bean (Vigna radiata L. Wilczek)

Limited availability of validated, polymorphic microsatellite markers in mung bean (Vigna radiata), an important food legume of India, has been a major hurdle towards its improvement and higher yield. The present study was undertaken in order to develop a new set of microsatellite markers and utilize them for the analysis of genetic diversity within mung bean accessions from India. A GA/CT enriched library was constructed from V. radiata which resulted in 1,250 putative recombinant clones of which 850 were sequenced. SSR motifs were identified and their flanking sequences were utilized to design 328 SSR primer pairs. Of these, 48 SSR markers were employed for assessing genetic diversity among 76 mung bean accessions from various geographical locations in India. Two hundred and thirty four alleles with an average of 4.85 alleles per locus were detected at 48 loci. The polymorphic information content (PIC) per locus varied from 0.1 to 0.88 (average: 0.49 per locus). The observed and expected heterozygosities ranged from 0.40 to 0.95 and 0.40 to 0.81 respectively. Based on Jaccard’s similarity matrix, a dendrogram was constructed using the unweighted pair-group method with arithmetic averages (UPGMA) analysis which revealed that one accession from Bundi, Rajasthan was clustered out separately while remaining accessions were grouped into two major clusters. The markers generated in this study will help in expanding the repertoire of the available SSR markers thereby facilitating analysis of genetic diversity, molecular mapping and ultimately broadening the scope for genetic improvement of this legume.     

Microsatellite markers help to assess genetic diversity among Opuntia ficus indica cultivated genotypes and their relation with related species

Opuntia spp. belong to the Cactaceae family and are native to Central America. The most economically important species is O. ficus indica, cultivated both for fruits and cladodes. The genus includes other important edible species (from diploid to octoploid) that occur worldwide as either wild or cultivated species in many arid or semiarid areas (e.g., the Mediterranean region). Several accessions are cultivated in different growing regions, but little is known about their ancestries and levels of genetic diversity. The aim of this study was to investigate the level of intraspecific genetic diversity among O. ficus indica cultivated varieties and some related species. Specifically, six highly polymorphic simple sequence repeats (SSR) and two expressed sequence tag (EST)-SSR loci were investigated in 62 wild and cultivated genotypes belonging to 16 Opuntia species. The clusters identified by the distance and model-based analyses clearly separated the wild opuntias from the cultivated ones. However, the O. ficus indica accessions did not cluster separately from other arborescent cactus pear species, such as O. amyclaea, O. megacantha, O. streptacantha, O. fusicaulis, and O. albicarpa, indicating that their current taxonomical classifications do not fit with their genetic variability. In general, the genotypes cultivated in Mexico showed high levels of diversity, whereas most of the spineless accessions collected in other countries had a very narrow genetic base. This study increases our knowledge of the variability among some of the most diffused Opuntia cultivated accessions. This study also points to the inconsistencies of previous taxonomical genotype assignments that were based solely on morphological characteristics.     

Genetic characterization of Iranian safflower (Carthamus tinctorius) using inter simple sequence repeats (ISSR) markers

Safflower (Carthamus tinctorious L.) is valued as a source of high quality vegetable oil. 20 ISSR primers were used to assess the genetic diversity of 18 accessions of safflower collected from different geographical regions of Iran. The ISSR primers combinations revealed 57.6 % polymorphism, among 338 genetic loci amplified from the accessions. The sum of effective number of alleles and observed number of alleles were 29.76 and 36.77, respectively. To understand genetic relationships among these cultivars, Jacquards’ similarity coefficient and UPGMA clustering algorithm were applied to the ISSR marker data set. ISSR markers grouped accessions into two main clusters and four sub clusters. Also, the principal coordinate analysis (PCoA) supported the cluster analysis results. The results showed these genotypes have high genetic diversity, and can be used for alternative safflower breeding program.     

Genetic Diversity and Population Structure of Tetraploid Wheats (Triticum turgidum L.) Estimated by SSR,DArT and Pedigree Data

Levels of genetic diversity and population genetic structure of a collection of 230 accessions of seven tetraploid Triticum turgidum L. subspecies were investigated using six morphological, nine seed storage protein loci, 26 SSRs and 970 DArT markers. The genetic diversity of the morphological traits and seed storage proteins was always lower in the durum wheat compared to the wild and domesticated emmer. Using Bayesian clustering (K = 2), both of the sets of molecular markers distinguished the durum wheat cultivars from the other tetraploid subspecies, and two distinct subgroups were detected within the durum wheat subspecies, which is in agreement with their origin and year of release. The genetic diversity of morphological traits and seed storage proteins was always lower in the improved durum cultivars registered after 1990, than in the intermediate and older ones. This marked effect on diversity was not observed for molecular markers, where there was only a weak reduction. At K >2, the SSR markers showed a greater degree of resolution than for DArT, with their identification of a greater number of groups within each subspecies. Analysis of DArT marker differentiation between the wheat subspecies indicated outlier loci that are potentially linked to genes controlling some important agronomic traits. Among the 211 loci identified under selection, 109 markers were recently mapped, and some of these markers were clustered into specific regions on chromosome arms 2BL, 3BS and 4AL, where several genes/quantitative trait loci (QTLs) are involved in the domestication of tetraploid wheats, such as the tenacious glumes (Tg) and brittle rachis (Br) characteristics. On the basis of these results, it can be assumed that the population structure of the tetraploid wheat collection partially reflects the evolutionary history of Triticum turgidum L. subspecies and the genetic potential of landraces and wild accessions for the detection of unexplored alleles.     

Assessment of genetic diversity and relationship among a collection of US sweet sorghum germplasm by SSR markers

Sweet sorghum (Sorghum bicolor L.) is a type of cultivated sorghums and has been recognized widely as potential alternative source of bio-fuel because of its high fermentable sugar content in the stalk. A substantial variation of sugar content and related traits is known to exist in US sweet sorghum. The objectives of the study were to assess the genetic diversity and relationship among the US sweet sorghum cultivars and lines using SSR markers and to examine the genetic variability within sweet sorghum accessions for sugar content. Sixty-eight sweet sorghum and four grain sorghum cultivars and lines were genotyped with 41 SSR markers that generated 132 alleles with an average of 3.22 alleles per locus. Polymorphism information content (PIC) value, a measure of gene diversity, was 0.40 with a range of 0.03–0.87. The genetic similarity co-efficient was estimated based on the segregation of the 132 SSR alleles. Clustering analysis based on the genetic similarity (GS) grouped the 72 sorghum accessions into 10 distinct clusters. Grouping based on clustering analysis was in good agreement with available pedigree and genetic background information. The study has revealed the genetic relationship of cultivars with unknown parentage to those with known parentage. A number of diverse pairs of sweet sorghum accessions were identified which were polymorphic at many SSR loci and significantly different for sugar content as well. Information generated from this study can be used to select parents for hybrid development to maximize the sugar content and total biomass, and development of segregating populations to map genes controlling sugar content in sweet sorghum.     

Analysis of the genetic diversity of garlic (Allium sativum L.) by simple sequence repeat and inter simple sequence repeat analysis and agro-morphological traits

The genetic diversity of 39 garlic accessions was investigated using eight simple sequence repeat (SSR) primer combinations and 17 inter-simple sequence repeat (ISSR) primer combinations. A total of 109 polymorphic loci were detected among these accessions, with an average of 4.63 polymorphic loci per SSR primer combination and 4.29 polymorphic loci per ISSR primer combination. The mean effective number of alleles, the mean Nei's genetic diversity, and the mean Shannon's information index for SSR were 1.4799, 0.2870, and 0.4378, respectively; and those for ISSR were 1.4847, 0.2898 and 0.4415, respectively. Cluster analysis, using the unweighted pair-group method with arithmetic averages (UPGMA) based on the allele frequency data, classified the accessions into three groups. The results of principal component analysis (PCA) were consistent with those of the cluster analysis. PCA showed that each of these three groups exhibited significant variation in agro-morphological traits. These findings suggest that the eight SSR and 17 ISSR primers identified could define valuable markers for genetic diversity for use by plant breeders.     

Identification of unique alleles and assessment of genetic diversity of rabi sorghum accessions using simple sequence repeat markers

Genetic diversity among 42 sorghum accessions representing landraces (19), advanced breeding lines (16), local cultivars (2) and release varieties (5) with 30 simple sequence repeat (SSR) markers revealed 7.6 mean number of alleles per locus showing 93.3% polymorphism and an average polymorphism information content of 0.78 which range from 0.22 (Xtxp12) and 0.91(Xtxp321). The average heterozygosity and effective number of alleles per locus were 0.8 and 6.65 respectively. Cluster analysis based on microsatellite allelic diversity clearly demarcated the accessions into ten clusters. A total of 24 unique alleles were obtained from seven SSR loci in 23 accessions in a size range of 110–380 bp; these unique alleles may serve as diagnostic tools for particular region of the genome of respective genotypes. Selected SSR markers from different linkage groups provided an accurate way of determining genetic diversity at the molecular level.     

Development and Characterization of SSR Markers to Study Genetic Diversity and Population Structure of Horsegram Germplasm (<Emphasis Type="Italic">Macrotyloma uniflorum</Emphasis>)

Development of genomic resources in any crop is the pre-requisite for the construction of linkage map and implementation of molecular breeding strategies to develop superior cultivars. Large number of molecular markers are required to enrich the scanty information available in horsegram (Macrotyloma uniflorum).We employed the next-generation Illumina sequencing platform to develop a large number of microsatellite markers in this species. Of the total 23,305 potential SSRs motifs, 5755 primers were designed. Of these, 1425, 1310, 856, 1276, and 888 were of di-, tri-, tetra-, penta-, and hexa-nucleotide repeats respectively. Thirty polymorphic SSR primers and 24 morphological traits were used in 360 horsegram accessions to detect the genetic diversity and population structure. Thirty primers amplified 170 polymorphic alleles with an average of 5.6 alleles per primer having size 80 to 380 bp. The polymorphism information content (PIC) ranged from 0.15 to 0.76 with an average of 0.50, suggesting that SSR markers used in the study were polymorphic and suitable for characterization of horsegram germplasm. Dendrogram-based on Jaccard’s similarity coefficient and neighbor-joining tree grouped the horsegram accessions into two major clusters. Similarly, STRUCTURE analysis assigned genotypes into two gene pools namely Himalayan origin and Southern India. Diversity analysis based on 24 agro-morphological traits also suggested the presence of high level of diversity among the accessions.