Analysis of Diversity in Chinese Cultivated Barley with Simple Sequence Repeats: Differences Between Eco-Geographic Populations

The genetic diversity of 116 barley accessions, representing five Chinese eco-geographic populations, was studied using simple sequence repeat (SSR) markers. The 21 SSR loci revealed 128 alleles with an average of 6.1 alleles per locus. The highest values of proportion of polymorphic loci (P) and gene diversity index (He) were obtained in the Northern (P = 1.00; He = 0.60) and the Yangtze River reaches and Southern populations (P = 1.00; He = 0.59). The lowest values were in the populations of the Yellow River reaches (P = 0.86; He = 0.44). The highest average number of alleles per locus (4.52) and number of unique alleles (7) were found in the Qinghai–Tibet plateau population. Cluster analysis revealed that together with the row type, strong eco-geographic variables influenced the classification. Associations of SSR and eco-geographic values were established for 11 SSR loci. Four to six markers were found to discriminate among geographic groups, which may serve as tools for diagnosis of the eco-geographic populations and provide evidence for the adaptive nature of SSR markers.     

Evaluation of SSR Markers for the Assessment of Genetic Diversity and Fingerprinting of Gossypium hirsutum Accessions

A total 177 simple sequence repeat (SSR) markers were screened using a set of 47 Upland cotton genotypes comprising 14 commercial varieties, 14 germplasm accessions and 19 advanced breeding lines to identify informative markers for genetic diversity assessment and fingerprinting in G. hirsutum. Only 21% (381177) of SSR markers tested showed polymorphism with a mean of 2.18 alleles per locus and with average polymorphism information content (PIC) of 0.32. The SSR markers revealed a Jaccard’ similarity coefficient ranging between 0.43 and 0.89, with an average of 0.67 among accessions. Cluster analysis using unweighted pair group method with arithmetic averages (UPGMA) and principal component analysis (PCA) indicated that majority of the genotypes were very closely related. All the 47 genotypes showed heterorygosity for at least one of the SSR loci. We discovered 19 rare and 6 unique alleles among the tested genotypes of cotton. Fingerprint based on all the 38 loci revealed a probability of identical match by chance of 3.98x10. A set of ten SSR markers was identified which could distinguish all the 47 genotypes with a moderate probability of identical match by chance (X?_D ⁿ = 0.01).     

Evaluation of Genetic Diversity in Chinese Wild Apple Species Along with Apple Cultivars Using SSR Markers

China, one of the primary centers of genetic diversity for the genus Malus, is very rich in wild apple germplasm. In this study, genetic diversity in 29 Malus accessions, including 12 accessions from 7 Chinese Malus species, 4 Chinese landraces, and 13 introduced apple cultivars, was assessed using a set of 19 single-locus simple sequence repeat (SSR) markers distributed across all 17 linkage groups of the apple genome. The number of alleles detected at each locus ranged from 2 to 11, with an average of 5.3 per SSR marker. In some accessions, 16 unique alleles were identified. Ten out of these 16 unique alleles (62.5%) were detected exclusively in wild species, indicating that these Chinese wild apple species have considerable genetic diversity and can be used in breeding programs to increase the genetic diversity of apple cultivars. Using 19 SSRs, an unweighted pair-group method with arithmetic average cluster analysis was conducted, and the resulting dendrogram revealed that all cultivars, except for E??peMeBckoe, were clustered together in the same group. The Russian cultivar E??peMeBckoe was closely related to the Chinese crabapple Baihaitang (M. prunifolia), with a high similarity coefficient value of 0.94. Of the two M. sieversii accessions used, one accession showed a close relationship to apple cultivars, while the other accession was closely related to wild apple species, suggesting the presence of a wider genetic diversity in Chinese M. sieversii species. The influence of SSR marker selection on genetic diversity analysis in this Malus collection was also discussed.     

Identification of genetic variations of cultivated and weedy types of Perilla species in Korea and Japan using morphological and SSR markers

To better understand the genetic diversity and relationships of the two cultivated types of Perilla crop and their weedy types in Korea and Japan, we evaluated the genetic variations of 56 accessions by assessing five morphological characteristics and 18 SSR markers. The two cultivated types of var. frutescens and var. crispa were clearly distinguished by seed size, whereas most accessions of cultivated and weedy types of var. crispa cannot be distinguished strictly by seed characteristics. A total of 165 alleles with the SSR analysis were detected with an average number of 9.2 alleles per locus among the 56 Perilla accessions. The number of alleles per locus ranged from two for KWPE-56 and KWPE-39 to 21 for GBPFM-204. Additionally, the genetic diversity of each locus ranged from 0.497 at KWPE-56 and KWPE-39 to 0.959 at GBPFM-204, with an average of 0.692. The average genetic diversity values were 0.549, 0.685, 0.451 and 0.557 for cultivated and weedy types of var. frutescens and for cultivated and weedy types of var. crispa, respectively. The weedy type accessions of var. frutescens and var. crispa evidenced greater variation than the corresponding cultivated type accessions. The accessions of the cultivated and weedy types of var. frutescens and var. crispa from Korea exhibited greater SSR diversity than those of Japan. An UPGMA phylogenetic tree revealed three major groups, which was congruent with their morphological characteristics except for a few odd accessions. SSR markers clarified the genetic relationships between var. frutescens and var. crispa and helped improve our understanding of the genetic diversity of the two cultivated types of P. frutescens and their weedy types in Korea and Japan.     

Analysis of Genetic Diversity in the North Eastern Himalayan Maize Landraces using Microsatellite Markers

Population DNA fingerprinting of 48 selected North Eastern Himalayan (NEH) landrace accessions was undertaken using 41 polymorphic fluorescent dye-labelled microsatellite/Simple Sequence Repeat (SSR) markers, using a DNA Sequencer. The analysis revealed a large number of SSR alleles (576), with high mean number of alleles per locus (13.8), and Polymorphism Information Content (PIC) of 0.63, reflecting the level of diversity in the NEH accessions and the informativeness of the SSR markers. The study also led to identification of 135 unique alleles, differentiating 44 out of the 48 accessions. Five highly frequent (major) SSR alleles (umc1545 _80bp, phi062 _162bp, umc1367 _159bp, umc2250 _152bp and phi112 _152bp) were detected indicating that chromosomal regions harbouring these S SR alleles might not be selectively neutral. Analysis of population genetic parameters, including Wright’s F statistics, revealed high level of genetic differentiation, very low levels of inbreeding, and restricted gene flow between the NEH landraces. AMOVA (Analysis of Molecular Variance) showed that 67 per cent of the total variation in the accessions could be attributed to within-population diversity, and the rest between the accessions. Cluster analysis of SSR data using Rogers’ genetic distance and UPGMA, showed significant genetic diversity among the landraces from Sikkim. This is the first detailed study of SSR allele frequency-based analysis of genetic diversity in the NEH maize landraces of India.     

Features of SNP and SSR diversity in a set of ICARDA barley germplasm collection

Detection and utilization of genetic variation available in the germplasm collection for crop improvement have been the prime activities of breeders. Here a set of ICARDA barley germplasm collection comprising of 185 cultivated (Hordeum vulgare L.) and 38 wild (H. spontaneum L.) genotypes originated from 30 countries of four continents was genotyped with 68 single nucleotide polymorphism (SNP) and 45 microsatellite or simple sequence repeat (SSR) markers derived from genes (expressed sequence tags, ESTs). As two SNP markers provided 2 and 3 datapoints, a total of 71 SNPs were surveyed that yielded a total of 143 alleles. The number of SSR alleles per locus ranged from 3 to 22 with an average of 7.9 per marker. Average PIC (polymorphism information content) value for SSR and SNP markers were recorded as 0.63 and 0.38, respectively. Heterogeneity was recorded at both SNP and SSR loci in an average of 5.72 and 12.42% accessions, respectively. Genetic similarity matrices for SSR and SNP allelic data were highly correlated (r = 0.75, P < 0.005) and therefore allelic data for both markers were combined and analyzed for understanding the genetic relationships among the germplasm surveyed. Majority of clusters/subclusters were found to contain genotypes from the same geographic origins. While comparing the genetic diversity, the accessions coming from Middle East Asia and North East Asia showed more diversity as compared to that of other geographic regions. Majority of countries representing Africa, Middle East Asia, North East Asia and Arabian Peninsula included the genotypes that contained rare alleles. As expected, spontaneum accessions, as compared to vulgare accessions, showed a higher number of total alleles, higher number of alleles per locus, higher effective number of alleles and higher allelic richness and a higher number of rare alleles were observed. In summary, the examined ICARDA germplasm set showed ample natural genetic variation that can be harnessed for future breeding of barley as climate change and sustainability have become important throughout all growing areas of the world, drought/heat tolerance being the most important ones.     

Microsatellite marker-based diversity and population genetic analysis of selected lowland and mid-altitude maize landrace accessions of India

Maize (Zea mays L.) harbours significant genetic diversity not only in its centre of origin (Mexico) but also in several countries worldwide, including India, in the form of landraces. In this study, DNA fingerprinting of 48 landrace accessions from diverse regions of India was undertaken using 42 fluorescent dye-labeled Simple Sequence Repeat (SSR) markers, followed by allele resolution using DNA sequencer and analysis of molecular diversity within and among these landraces. The study revealed a large number of alleles (550), with high mean number of alleles per locus (13.1), and Polymorphism Information Content (PIC) of 0.60, reflecting the level of diversity in the landrace accessions. Besides identification of 174 unique alleles in 44 accessions, six highly frequent SSR alleles were detected at six loci (phi014, phi090, phi112, umc1367, phi062 and umc1266) with individual frequencies greater than 0.75, indicating that chromosomal regions harboring these SSR alleles are not selectively neutral. F statistics revealed very high genetic differentiation, population subdivision and varying levels of inbreeding in the landraces. Analysis of Molecular Variance showed that 63 % of the total variation in the accessions could be attributed to within-population diversity, and 37 % represented between population diversity. Cluster analysis of SSR data using Nei’s genetic distance and UPGMA revealed considerable genetic diversity in these populations, although no clear separation of accessions was observed based on their geographic origin.     

Molecular characterization and genetic diversity analysis of soybean (Glycine max (L.) Merr.) germplasm accessions in India

Molecular characterization and genetic diversity among 82 soybean accessions was carried out by using 44 simple sequence repeat (SSR) markers. Of the 44 SSR markers used, 40 markers were found polymorphic among 82 soybean accessions. These 40 polymorphic markers produced a total of 119 alleles, of which five were unique alleles and four alleles were rare. The allele number for each SSR locus varied between two to four with an average of 2.97 alleles per marker. Polymorphic information content values of SSRs ranged from 0.101 to 0.742 with an average of 0.477. Jaccard’s similarity coefficient was employed to study the molecular diversity of 82 soybean accessions. The pairwise genetic similarity among 82 soybean accessions varied from 0.28 to 0.90. The dendrogram constructed based on genetic similarities among 82 soybean accessions identified three major clusters. The majority of genotypes including four improved cultivars were grouped in a single subcluster IIIa of cluster III, indicating high genetic resemblance among soybean germplasm collection in India.

Electronic supplementary material

The online version of this article (doi:10.1007/s12298-014-0266-y) contains supplementary material, which is available to authorized users.     

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.     

Evaluation of the genetic diversity and population structure of sesame (Sesamum indicum L.) using microsatellite markers

Sixteen polymorphic microsatellite (SSR) markers, developed from an SSR-enriched genomic DNA library of sesame (Sesamum indicum L.), were used to assess genetic diversity, phylogenetic relationships, and population structure among 150 sesame accessions collected from 22 countries. A total of 121 alleles were detected among the sesame accessions. The number of detected alleles varied from 2 to 18, with an average of 7.6 alleles per locus. Polymorphism information content values ranged from 0.03 to 0.79, with an average of 0.42. These values indicated an excess of heterozygous individuals at 16 loci and an excess of homozygous individuals at three loci. Of these, 32 genotype-specific alleles were identified at 11 of 16 polymorphic SSR markers. Cluster analyses were performed by accession and population, revealing a complex accession distribution pattern with mean genetic similarity coefficient of 0.45 by accession and 0.52 by population. The wide variation in genetic similarity among the accessions revealed by SSRs reflected a high level of polymorphism at the DNA level. Model-based structure analysis revealed the presence of three groups that were basically consistent with the clustering results based on genetic distance. These findings may be used to augment the sesame germplasm and to increase the effectiveness of sesame breeding.     

Assessment of genetic diversity and population structure in mungbean

This study was carried out to assess the genetic diversity and to analyze the population genetic structure for a total of 692 mungbean accessions preserved at National Agrobiodiversity Center (NAC) of the Rural Development Administration (RDA), Korea. Mungbean accessions were collected from 27 countries in nine different geographic regions, and were genotyped using 15 microsatellite markers, which were developed in our previous study. A total of 66 alleles were detected among 692 accessions at all the loci with an average of 4.4 alleles per locus. All the microsatellite loci were found to be polymorphic. The expected heterozygosity (H _E ) and polymorphism information content (PIC) ranged from 0.081 to 0.588 (mean = 0.345) and from 0.080 to 0.544 (mean = 0.295), respectively. Of the 66 alleles, 17 (25.8%) were common (frequency range between 0.05 and 0.5), 15 (22.7%) were abundant (frequency range > 0.5), and 34 (51.5%) were rare (frequency range < 0.05). Locus GB-VR-7 provided the highest number of rare alleles(eight), followed by GB-VR-91(six) and GB-VR-113(four). Country-wide comparative study on genetic diversity showed that accessions from the USA possessed the highest genetic diversity (PIC) followed by Nepal, Iran, and Afghanistan. And region-wide showed that accessions from Europe possessed the highest average genetic diversity, followed by accessions from the USA, South Asia, West Asia, and Oceania. Twenty-seven countries were grouped into seven clades by phylogenetic relationship analysis, but clustering pattern did not strictly follow their geographical origin because of extensive germplasm exchange between/among countries and regions. As a result of a model-based analysis (STRUCTURE) of microsatellite data, two distinct genetic groups were identified which shared more than 75% membership with one of the two genetic groups. However the genetic group pattern did not reflect their geographical origin. The Duncan’s Multiple Range Test among these two genetic groups and an admixed group, with a mean of 16 phenotypic traits, showed significant difference in 12 quantitative and qualitative traits on the basis of ANOVA. These 15 newly developed SSR markers proved to be useful as DNA markers to detect genetic variation in mungbean germplasm for reasonable management and crossbreeding purposes.     

Development and use of novel SSR markers for molecular genetic diversity in Italian millet (Setaria italica L.)

Italian millet is a commercially important grain crop. Nineteen polymorphic simple sequence repeat (SSR) markers, developed through construction of an SSR-enriched library from genomic DNA of Italian millet (Setaria italica L., P. Beauv.), were used for assessment of molecular genetic diversity against 40 accessions of S. italica. In total, 85 alleles were detected, with an average of 4.5 alleles per locus. The average gene diversity and polymorphism information content (PIC) values were 0.412 and 0.376, ranging from 0.02 to 0.88 and from 0.02 to 0.87, respectively. Values for observed (H _O) and expected (H _E) heterozygosities ranged from 0 to 0.73 and from 0.03 to 0.89, respectively. Nine loci deviated from Hardy-Weinberg equilibrium. The mean similarity coefficient among accessions was 0.6593. Based on the UPGMA algorithm, six different groups were successfully identified. In this clustering analysis, all Korean accessions grouped in one cluster, indicating that Korean accessions are genetically quite distinct from other introduced accessions. These newly developed microsatellite markers should be very useful tools for several genetic studies, including an assessment of diversity and population structure in Italian millet.     

High throughput analysis of grape genetic diversity as a tool for germplasm collection management

Using 20 SSR markers well scattered across the 19 grape chromosomes, we analyzed 4,370 accessions of the INRA grape repository at Vassal, mostly cultivars of Vitis vinifera subsp. sativa (3,727), but also accessions of V. vinifera subsp. sylvestris (80), interspecific hybrids (364), and rootstocks (199). The analysis revealed 2,836 SSR single profiles: 2,323 sativa cultivars, 72 wild individuals (sylvestris), 306 interspecific hybrids, and 135 rootstocks, corresponding to 2,739 different cultivars in all. A total of 524 alleles were detected, with a mean of 26.20 alleles per locus. For the 2,323 cultivars of V. vinifera, 338 alleles were detected with a mean of 16.9 alleles per locus. The mean genetic diversity (GDI) was 0.797 and the level of heterozygosity was 0.76, with broad variation from 0.20 to 1. Interspecific hybrids and rootstocks were more heterozygous and more diverse (GDI?=?0.839 and 0.865, respectively) than V. vinifera cultivars (GDI?=?0.769), Vitis vinifera subsp. sylvestris being the least divergent with GDI?=?0.708. Principal coordinates analysis distinguished the four groups. Slight clonal polymorphism was detected. The limit between clonal variation and cultivar polymorphism was set at four allelic differences out of 40. SSR markers were useful as a complementary tool to traditional ampelography for cultivar identification. Finally, a set of nine SSR markers was defined that was sufficient to distinguish 99.8% of the analyzed accessions. This set is suitable for routine characterization and will be valuable for germplasm management.     

Population structure and genetic diversity analysis of Indian and exotic rice (Oryza sativa L.) accessions using SSR markers

In order to understand the population structure and genetic diversity among a set of 82 rice genotypes collected from different parts of the Asian countries including India were characterized using 39 microsatellite loci. The Population structure analysis suggested that the optimum number of subpopulations was four (K = 4) among the rice genotypes, whereas phylogenetic analysis grouped them into three populations. The results obtained from phylogenetic and STRUCTURE analysis proved to be very powerful for the differentiation of rice genotypes based on their place of origin. The genetic diversity analysis using 39 SSR loci yielded 183 scorable alleles, out of which 182 alleles were observed to be polymorphic with an average of 4.8 alleles per locus. The Polymorphism Information Content (PIC) values for all the polymorphic primers across 82 rice genotypes varied from 0.02 to 0.77, with an average of 0.50. Gene diversity (He) was found to be in the range of 0.02 (RM484) to 0.80 (OSR13) with an average value of 0.55, while heterozygosity (Ho) was observed with an average of 0.07, ranging from 0.01 (RM334) to 0.31 (RM316). The present study resulted in identification of seven highly polymorphic SSR loci viz., OSR13, RM152, RM144, RM536, RM489, RM259 and RM271 based on the parameters like PIC value (≥0.70), gene diversity (≥0.71), and polymorphic alleles (≥6). These seven polymorphic primers can effectively be used in further molecular breeding programs and QTL mapping studies of rice since they exhibited very high polymorphism over other loci. SSR analysis resulted in a more definitive separation of clustering of genotypes indicating a higher level of efficiency of SSR markers for the accurate determination of relationships between accessions.     

Development,characterization and utilization of genomic microsatellite markers in turmeric (Curcuma longa L.)

Development of a robust set of 18 genomic microsatellite markers from turmeric (Curcuma longa L.) and its effective utilization in estimating the genetic diversity of 20 turmeric accessions are described. A total of 103 alleles were detected with an average of 5.7 alleles per locus. These markers displayed varied levels of polymorphism as evident from its discriminating power ranging from 0.19 to 0.70. The UPGMA cluster analysis of genetic distance values resolved the 20 turmeric accessions into five main groups. Three sets of genetically identical accessions were detected within the analyzed accessions, suggesting a revisit of the germplasm collection strategy based on vernacular identity. The entire grouping pattern of the entities was loose and independent of their geographical origins. These polymorphic SSR markers would be useful for the population genetic studies and germplasm management of turmeric.     

Assessment of genetic diversity in Ethiopian cowpea [<Emphasis Type="Italic">Vigna unguiculata</Emphasis> (L.) Walp.] germplasm using simple sequence repeat markers

The genetic diversity of cowpea (Vigna unguiculata L. Walp.) in Ethiopia was analyzed using 19 uniform accessions, 62 variable accessions (yielding 185 sub-types), and two mungbean (Vigna radiata) accessions (four subtypes) as outgroup. A set of 23 polymorphic simple sequence repeat (SSR) markers was identified, and polymorphism in the various accessions was scored by determining amplicon variability. Allele frequency, genetic diversity, and polymorphism information content (PIC) were determined for each SSR marker, and a neighbor joining dendrogram was generated to show the genetic relationship among the individual accessions. A total of 75 allelic variants was defined, with the average number of alleles per locus calculated to be three. The average genetic diversity (D) was 0.47, and PIC was 0.4. Three main clusters were identified by phylogenetic analysis, and the clusters and sub-grouping were supported by STRUCTURE and principal component analysis. This grouping had a moderate fixation index value of 0.075 and gene flow (Nm) of 3.176, indicating that the accessions possess wide diversity within individuals and populations. The accessions showed no clustering by geographical origins. Three well-characterized molecular markers (SSR1, C42-2B, and 61RM2) for race specific resistance to Striga gesnerioides in the cowpea cultivar B301 were used to evaluate the accessions for their potential for use in genetic improvement against this pest. Based on this analysis, only two accessions, 222890–2 from Gambela and 286–2 from the Southern Nations, Nationalities, and Peoples (SNNP) region, were found to cluster with B301 and contain the SSR1 resistance allele. These findings will assist in germplasm conservation efforts by the Institute of Biodiversity and Conservation of Ethiopia, and contribute to future studies aimed at the genetic improvement of local germplasm for improved overall agronomic performance as well as Striga resistance in particular.     

Development of genomic simple sequence repeat markers in faba bean by next-generation sequencing

Faba bean (Vicia faba L.) is an important food legume crop with a huge genome. Development of genetic markers for faba bean is important to study diversity and for molecular breeding. In this study, we used Next Generation Sequencing (NGS) technology for the development of genomic simple sequence repeat (SSR) markers. A total of 14,027,500 sequence reads were obtained comprising 4,208 Mb. From these reads, 56,063 contigs were assembled (16,367 Mb) and 2138 SSRs were identified. Mono and dinucleotides were the most abundant, accounting for 57.5 % and 20.9 % of all SSR repeats, respectively. A total of 430 primer pairs were designed from contigs larger than 350 nucleotides and 50 primers pairs were tested for validation of SSR locus amplification. Nearly all (96 %) of the markers were found to produce clear amplicons and to be reproducible. Thirty-nine SSR markers were then applied to 46 faba bean accessions from worldwide origins, resulting in 161 alleles with 87.5 % polymorphism, and an average of 4.1 alleles per marker. Gene diversity (GD) of the markers ranged from 0 to 0.48 with an average of 0.27. Testing of the markers showed that they were useful in determining genetic relationships and population structure in faba bean accessions.     

Analysis of genetic diversity and population structure of rice cultivars from Korea, China and Japan using SSR markers

A total of 29 simple sequence repeat (SSR) markers were used to analyze the genetic diversity of 150 accessions of cultivated rice (Oryza sativa L.) from Korea, China, and Japan. A total of 375 alleles were detected with an average of 12.9 per locus. The averaged values of gene diversity and polymorphism information content (PIC) for each SSR locus were 0.7001 and 0.6683, respectively. Alleles per locus in Korean rice were 8.8, whereas 8.1 and 7.2 alleles per locus were found in Chinese and Japanese rice, respectively. The mean gene diversity in Korean, Chinese, and Japanese rice was 0.6058, 0.6457, and 0.5174, respectively, whereas the mean PIC values for each SSR locus were 0.5759, 0.6138, and 0.4881, respectively. The genetic diversity of the Korean and Chinese cultivars was higher than that of the Japanese cultivars, and the genetic diversity ofjaponica was higher than that ofindica. The model-based structure analysis revealed the presence of three subpopulations, which was basically consistent with clustering based on genetic distance. An AMOVA analysis showed that the between-population component of genetic variance was less than 22% in contrast to 78% for the within-population component. The overallFST value was 0.2180, indicating a moderate differentiation among groups. The results could be used for designing effective breeding programs aimed at broadening the genetic bases of commercially grown varieties.     

Development of simple sequence repeat markers and diversity analysis in alfalfa (Medicago sativa L.)

Efficient and robust molecular markers are essential for molecular breeding in plant. Compared to dominant and bi-allelic markers, multiple alleles of simple sequence repeat (SSR) markers are particularly informative and superior in genetic linkage map and QTL mapping in autotetraploid species like alfalfa. The objective of this study was to enrich SSR markers directly from alfalfa expressed sequence tags (ESTs). A total of 12,371 alfalfa ESTs were retrieved from the National Center for Biotechnology Information. Total 774 SSR-containing ESTs were identified from 716 ESTs. On average, one SSR was found per 7.7 kb of EST sequences. Tri-nucleotide repeats (48.8 %) was the most abundant motif type, followed by di—(26.1 %), tetra—(11.5 %), penta—(9.7 %), and hexanucleotide (3.9 %). One hundred EST–SSR primer pairs were successfully designed and 29 exhibited polymorphism among 28 alfalfa accessions. The allele number per marker ranged from two to 21 with an average of 6.8. The PIC values ranged from 0.195 to 0.896 with an average of 0.608, indicating a high level of polymorphism of the EST–SSR markers. Based on the 29 EST–SSR markers, assessment of genetic diversity was conducted and found that Medicago sativa ssp. sativa was clearly different from the other subspecies. The high transferability of those EST–SSR markers was also found for relative species.