Development and characterization of microsatellite markers in Indian sesame (Sesamum indicum L.)

The genetic characterization of Indian sesame cultivars and related wild species was analysed using 102 simple sequence repeat (SSR; microsatellite) markers. Of these, 62 were novel sesame-specific microsatellites isolated in the course of the present investigation by constructing genomic libraries. Characterization of the 68 sesame accessions and three related wild species using 72 polymorphic SSR primers resulted in the detection of 170 alleles. The number of alleles ranged from two to four with an average of 2.5 alleles per locus. Polymorphic information content of the markers ranged from 0.43 to 0.88 with an average of 0.66. UPGMA cluster analysis grouped all the accessions into two major clusters with a genetic similarity ranging from 0.40 to 0.91. A moderate to high level of genetic variability was observed. The three wild accessions used in the study formed separate clades and distant genetic relationships were observed between the cultivar lines and wild species. Differentiation of genotypes according to geographical region was not observed. Analysis of molecular variance (AMOVA) analysis revealed that a high percentage of variation was within populations (87.1 %). An overall F _st of 0.11 among the populations indicated low population differentiation. The SSR markers developed will be useful for further genetic analysis, linkage mapping and selection of parents in future breeding programmes.     

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.     

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.     

Isolation of EST-derived microsatellite markers for genotyping the A and B genomes of wheat

Genetic variation present in 64 durum wheat accessions was investigated by using three sources of microsatellite (SSR) markers: EST-derived SSRs (EST-SSRs) and two sources of SSRs isolated from total genomic DNA. Out of 245 SSR primer pairs screened, 22 EST-SSRs and 20 genomic-derived SSRs were polymorphic and used for genotyping. The EST-SSR primers produced high quality markers, but had the lowest level of polymorphism (25%) compared to the other two sources of genomic SSR markers (53%). The 42 SSR markers detected 189 polymorphic alleles with an average number of 4.5 alleles per locus. The coefficient of similarity ranged from 0.28 to 0.70 and the estimates of similarity varied when different sources of SSR markers were used to genotype the accessions. This study showed that EST-derived SSR markers developed in bread wheat are polymorphic in durum wheat when assaying loci of the A and B genomes. A minumum of ten EST-SSRs generated a very low probability of identity (0.36×10⁻¹²) indicating that these SSRs have a very high discriminatory power. EST-SSR markers directly sample variation in transcribed regions of the genome, which may enhance their value in marker-assisted selection, comparative genetic analysis and for exploiting wheat genetic resources by providing a more-direct estimate of functional diversity. Received: 19 December 2000 / Accepted: 17 April 2001     

鸭茅种质遗传变异及亲缘关系的SSR分析

利用SSR标记技术对来自世界5大洲的53份鸭茅(Dactylis glomerata L.)材料的遗传变异及亲缘关系进行了研究。用筛选的15对引物对53份材料的DNA进行PCR扩增, 获得下述结果: (1)15个位点共检测到127个等位基因, 每个位点等位基因变幅为5～12个, 平均为8.5个, 多态性位点率 (P)平均为95.21%; 多态性信息含量(PIC)范围为0.30(A04C24) 到 0.44 (A01F24), 平均为0.36; (2)材料间遗传相似系数(GS)范围在0.43到0.94之间; 地理类群间的GS值在0.73到0.91间, 其中亚洲(P,90.55%)和欧洲(P,86.61%)类群遗传多样性丰富, 表明供试鸭茅种质具有丰富的遗传变异; (3)根据研究结果进行聚类分析和主成分分析, 可将53份鸭茅材料分成5大类, 来自相同洲的材料能聚为一类, 呈现出一定的地域性分布规律。     

SSR markers development and their application in genetic diversity evaluation of garlic (Allium sativum) germplasm

Garlic (Allium sativum), an asexually propagated vegetable and medicinal crop, has abundant genetic variation. Genetic diversity evaluation based on molecular markers has apparent advantages since their genomic abundance, environment insensitivity, and non-tissue specific features. However, the limited number of available DNA markers, especially SSR markers, are insufficient to conduct related genetic diversity assessment studies in garlic. In this study, 4372 EST-SSR markers were newly developed, and 12 polymorphic markers together with other 17 garlic SSR markers were used to assess the genetic diversity and population structure of 127 garlic accessions. The averaged polymorphism information content (PIC) of these 29 SSR markers was 0.36, ranging from 0.22 to 0.49. Seventy-nine polymorphic loci were detected among these accessions, with an average of 3.48 polymorphic loci per SSR. Both the clustering analyses based on either the genotype data of SSR markers or the phenotypic data of morphological traits obtained genetic distance divided the 127 garlic accessions into three clusters. Moreover, the Mantel test showed that genetic distance had no significant correlations with geographic distance, and weak correlations were found between genetic distance and the phenotypic traits. AMOVA analysis showed that the main genetic variation of this garlic germplasm collection existed in the within-population or cluster. Results of this study will be of great value for the genetic/breeding studies in garlic and enhance the utilization of these garlic germplasms.     

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.     

向日葵种质的SSR分析

以向日葵种质‘阜8321,的114份单株为材料,利用23对引物进行SSR分析.结果表明,23对引物扩增共获得57条带,其中24条多态性带,多态性比率为42.11％.聚类分析显示114个个体间遗传相似性较高,遗传相似系数为0.86～1.00,在遗传相似系数0.87附近,可将114份单株分为两个类群,第一类群包括4份样品,其余110个单株为第二类群.PopGen 3.2软件分析得出种质内个体间平均有效基因位点数、平均香农指数和位点预期杂合度分别为1.4682、0.4078和0.2606.说明该种质个体间SSR位点存在一定的差异,为异质型种质,在繁种更新中应注意维持其遗传完整性.     

Assessment of genetic diversity in broomcorn millet （Panicum miliaceum L.） using SSR markers

The genetic diversity of 118 accessions of broomcom millet （Panicum miliaceum L.）, collected from various ecological areas, was analyzed. Using 46 SSR （Simple Sequence Repeat） polymorphic markers from rice, wheat, oat and barley, a total of 226 alleles were found, which exhibited moderate level of diversity. The number of alleles per primer ranged from two to nine, with an average of 4.91. The range of polymorphism information content （PIC） was 0.2844）.980 （average, 0.793）. The expected heterozygosity （He） varied from 0.346 to 0.989, with an average of 0.834. The average coefficient of the genetic similarity of SSR markers among the 118 accessions was 0.609, and it ranged from 0.461 to 0.851. The UPGMA （Unweight Pair Group Method with Arithmetic Mean） clustering analysis at the genetic similarity value of 0.609 grouped the 118 accessions into five groups. Mantel test meant that geographical origin and genetic distance presented positive correlation. The clustering results were consistent with known information on ecological growing areas. The genetic similarity coefficient of the accessions in the Loess Plateau ecotype was significantly lower than those in the other ecotypes. It indicates that the highest level of genetic diversity occurred in the Loess Plateau, which is probably the original site of Panicum miliaceum.     

SSR analysis of 38 genotypes of soybean (Glycine Max (L.) Merr.) genetic diversity in India

Sixteen polymorphic Simple sequence repeat (SSR) markers were used to determine the genetic diversity and varietal identification among 38 soybean (Glycine max (L.) Merr.) genotypes which are at present under seed multiplication chain in India. A total of 51 alleles with an average of 2.22 alleles per locus were detected. The polymorphic information content (PIC) among genotypes varied from 0.049 (Sat_243 and Satt337) to 0.526 (Satt431) with an average of 0.199. The pair wise genetic similarity between soybean varieties varied from 0.56 to 0.97 with an average of 0.761. These 16 SSR markers successfully distinguished 12 of the 38 soybean genotypes. These results suggest that used SSR markers are efficient for measuring genetic diversity and relatedness as well as identifying varieties of soybeans. Diverse genetic materials may be used for genetic improvements of soybean genotypes.     

Genetic diversity of Triticum turgidum L. based on microsatellite markers

Using microsatellite (SSR) markers, the genetic diversity and genetic relationships among 48 Triticum turgidum L. accessions, including 30 Triticum turgidum L. ssp. turgidum, 7 Triticum turgidum L. ssp. durum, 4 Triticum turgidum L. ssp. carthlicum, 3 Triticum turgidum L. ssp. paleocolchicum, 2 Triticum turgidum L. ssp. turanicum and 2 Triticum turgidum L. ssp. polonicum accessions, were investigated. A total of 97 alleles were detected on 16 SSR loci. At each locus, the number of alleles ranged from 2 to 14, with an average of 6.1. The Genetic similarity (GS) value ranged from 0.20 to 0.92, with the mean of 0.59. In cluster analysis, it was found the 48 Triticum turgidum L. accessions could be distinguished easily by SSR markers, whereas the 6 subspecies taxonomic entities of T. turgidum L. could not differentiate with each other, indicating that the morphological differences present among the 6 subspecies could not be reflected by the SSR markers. These results suggested that SSR markers had the superiority in detecting the genetic diversity of T. turgidum L., while it was not good for the studies of the phylogenic relationships among the subspecies of T. turgidum L.     

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.     

黑龙江省近年审定水稻品种基于SSR标记的遗传多样性分析

为评估黑龙江省水稻品种的遗传基础,利用24个用于水稻DNA指纹图谱构建的SSR标记以及其他均匀分布于水稻12条染色体的38个SSR标记,对黑龙江省近年审定的73个水稻常规稻品种进行遗传多样性分析。结果表明,在62个SSR标记位点中,共检测到142个等位基因,平均每个标记2.3个,多态性比率平均为71.0%,多态性频率变幅为0~0.775,平均值为0.246。供试品种间两两遗传相似系数的平均值为0.759,变幅为0.622~0.966,且96.4%的品种间遗传相似系数在0.66~0.86之间,表明供试的73个品种亲缘关系较近。通过SSR标记基因型聚类分析将这些品种划分为6个类群,与系谱分析趋势一致,类群间的差异主要表现在生育期和米质方面。综上所述,黑龙江省近年审定的水稻品种遗传基础狭窄,在育种中需要导入新的种质资源,加强种质资源创新,以期丰富水稻品种的遗传多样性,进一步提高水稻产量和抗性。     

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.     

Study of genetic diversity and relationships among accessions of foxtail millet [Setaria italica (L.) P. Beauv.] in Korea, China, and Pakistan using SSR markers

In this study, 28 simple sequence repeat (SSR) primer sets were used to analyze the genetic diversity, population structure, and genetic relationships among 37 accessions of foxtail millet from Korea, China and Pakistan. A total of 298 alleles were detected with an average allele number of 10.6 per locus among 37 foxtail millet accessions. The number of alleles per locus ranged from 2 (b226) to 20 (b236). Of the 298 alleles, 138 alleles (46.3%) were rare (frequency < 0.05), 152 alleles (51.0%) were detected at an intermediate frequency (range, 0.05?C0.50), and eight alleles (2.7%) were abundant (frequency > 0.50), respectively. The average gene diversity values were 0.652, 0.692, and 0.491 and polymorphic information content values were 0.621, 0.653, and 0.438, for accessions from Korea, China, and Pakistan, respectively. The accessions from China showed higher SSR diversity than those from Korea and Pakistan. A phylogenetic tree constructed using the un-weighted pair group methods with arithmetic mean algorithm revealed three major groups of accessions that were not congruent with geographical distribution patterns with a few exceptions. The lack of correlation between the accession clusters and their geographic location indicates that the diffusion of foxtail millet from China to Korea might have occurred through multiple routes. Our results provide support for the origin and diffusion route of foxtail millet in East Asia. This SSR-based assessment of genetic diversity, genetic relationships, and population structure among genetic resources of foxtail millet landraces will be valuable to foxtail millet breeding and genetic conservation programs in Korea.     

新疆甜高粱种质资源遗传多样性的SSR分析

选用50对SSR引物对新疆现有72份甜高粱种质资源进行遗传多样性分析。结果表明:有20对引物在72份甜高粱种质资源中表现为多态性。共检测到91个等位基因,每对引物可检测到的等位基因数目为2～5个,平均为3.45个。多态性信息量(PIC)的变动范围为0.2859～0.6652,平均为0.5057。72份甜高粱种质间的遗传相似系数变化范围为0.2001～1.000,平均值为0.5599。UPGMA聚类分析将72份材料划分为A、B两大类群,A群包括69份材料,而A群又被分成从Ⅰ到Ⅺ共11个亚群,B群包括3份材料,农艺性状近似的大多被聚到同一类群。     

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.     

Genetic variation and identification of promising sour cherries inferred from microsatellite markers

The aim of this study was to identify the group of highly polymorphic microsatellite markers for identification of promising sour cherries. From among 30 tested microsatellite (SSR) markers, 19 were selected to profile genetic variation in sour cherries due to high polymorphisms. Results indicated a high level of polymorphism of the accessions based on these markers. Totally 148 alleles were generated at 19 SSR loci which 122 alleles were polymorphic. The number of total alleles per locus ranged from 2 to 15 with an average of 7.78 and polymorphism percentage varied from 50 to 100% with an average of 78.76%. Also, PIC varied from 0.47 to 0.89 with an average of 0.79 and heterozygosity ranged from 0.35 to 0.55 with a mean of 0.45. According to these results, these markers specially PMS3, PS12A02, PceGA34, BPPCT021, EMPA004, EMPA018, and Pchgms3 produced good and various levels of amplifications and showed high heterozygosity levels. By the way, the genetic similarity showed a high diversity among the sour cherries. Cluster analysis separated improved cultivars from promising sour cherries, and the PCoA supported the cluster analysis results. Since the studied sour cherries were superior to the improved cultivars and were separated from them in most groups, these sour cherries can be considered as distinct genotypes for further evaluations in the framework of breeding programs and new cultivar identification in cherries. Results also confirmed that the set of microsatellite markers employed in this study demonstrated usefulness of microsatellite markers for the identification of sour cherry genotypes.     

Assessment of genetic variation and differentiation of hop genotypes by microsatellite and AFLP markers.

Microsatellites have many desirable marker properties and have been increasingly used in crop plants in genetic diversity studies. Here we report on the characterisation of microsatellite markers and on their use for the determination of genetic identities and the assessment of genetic variability among accessions from a germplasm collection of hop. Thirty-two polymorphic alleles were found in the 55 diploid genotypes, with an average number of eight alleles (3.4 effective alleles) for four microsatellite loci. Calculated polymorphic information content values classified three loci as informative markers and two loci as suitable for mapping. The average observed heterozygosity was 0.7 and the common probability of identical genotypes was 3.271 x 10(-4). An additional locus, amplified by one primer pair, was confirmed by segregation analysis of two crosses. The locus discovered was heterozygous, with a null allele in the segregating population. The same range of alleles was detected in nine triploid and five tetraploid hop genotypes. Cultivar heterozygosity varied among all 69 accessions, with only one cultivar being homozygous at four loci. Microsatellite allele polymorphisms distinguished 81% of all genotypes; the same allelic profile was found mainly in clonally selected cultivars. Cultivar-specific alleles were found in some genotypes, as well as a specific distribution of alleles in geographically distinct hop germplasms. The genetic relationship among 41 hop accessions was compared on the basis of microsatellite and AFLP polymorphisms. Genetic similarity dendrograms showed low correlation between the two marker systems. The microsatellite dendrogram grouped genetically related accessions reasonably well, while the AFLP dendrogram showed good clustering of closely related accessions and, additionally, separated two geographically distinct hop germplasms. The results of microsatellite and AFLP analysis are discussed from the point of view of the applicability of the two marker systems for different aspects of germplasm evaluation.