Genetic diversity of wild soybean populations in Dongying, China, by simple sequence repeat analysis

Wang, Y H; Zhang, X J; Fan, Shoujin

doi:10.4238/2015.september.28.13

Cited by 10 publications

(6 citation statements)

References 11 publications

(10 reference statements)

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“…The mean PIC value observed in our study was 0.356, which is comparable with 0.36 reported by Hipparagi et al (2017) but less than earlier reports (Kumawat et al 2015;Chauhan et al 2017;Gupta and Manjaya 2017). In our study, a very low level of heterozygosity (0.014) was observed which is comparable with 0.014 reported by Li et al (2008) but less than other reports (Wang et al 2015;Gupta and Manjaya 2017;Hipparagi et al 2017). The gene diversity observed in this germplasm set was 0.41, which is comparable with 0.43 reported by Hipparagi et al (2017) but lower than reported by Wang and Takahata (2007) and Hudcovicova and Kraic (2003) on two different sets of soybean genotypes.…”

Section: Discussionsupporting

confidence: 60%

Genetic relationship, population structure analysis and allelic characterization of flowering and maturity genes E1, E2, E3 and E4 among 90 Indian soybean landraces

Kumawat

Yadav

Satpute

et al. 2019

Physiol Mol Biol Plants

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A set of 90 Indian soybean landraces were analysed for polymorphism at 43 SSRs and five allele specific markers of four major genes involved in regulating flowering and photoperiod response. A total of 42 polymorphic SSRs had amplified 126 alleles which served as raw data for estimation of genetic relationship and population structure among 90 accessions. Rare alleles of four and three SSRs were detected in accessions IC18768 and IC15089, respectively. Gene diversity in the population ranges from 0.065 to 0.717 with a mean value of 0.411. The polymorphism information content of 42 SSRs varied from 0.063 to 0.668. Hierarchical clustering based on neighbour-joining method identified three major clusters among 90 soybean accessions. Model based population structure analysis divided the 90 soybean accessions into four populations (K = 4). Mean value of Fst for different populations ranged between 0.4143 and 0.7239. Genotyping of 90 accessions with allele specific markers had identified accession IC15089 as triple recessive mutant of flowering genes E1, E2 and photoperiod sensitivity gene E3. The triple mutant IC15089 (e1, e3, e3) had been characterized phenotypically and identified as early maturing (88 days) and photoperiod insensitive genotype under extended photoperiod. The present study characterized genetic relationship among 90 Indian soybean landraces and had identified a few diverse and unique genotypes for utilization in soybean breeding programmes targeting development of short duration and photoperiod insensitive varieties through marker assisted selection.

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Section: Discussionsupporting

confidence: 60%

Genetic relationship, population structure analysis and allelic characterization of flowering and maturity genes E1, E2, E3 and E4 among 90 Indian soybean landraces

Kumawat

Yadav

Satpute

et al. 2019

Physiol Mol Biol Plants

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“…As a self -fertilizing crop soybean is expected to have low heterozygosity than hybrid crops [36], here we got low heterozygosity (0.11) much lower than the value reported by Zhang et al [36] (0.46). Li et al [30] reported heterozygosity of 0.014 in grain soybean whereas, 0.069 and 0.446 were reported in wild soybean by Liu et al[39] and Wang et al [40] respectively. Gene diversity observed in the present study was 0.43; this low level of gene diversity may be ascribed to the emphasis on direct introductions from introduced germplasm and single cross hybrids in the soybean breeding programs.…”

Section: Discussionmentioning

confidence: 99%

“…Tantasawat et al [34] reported four major clusters in 25 soybean genotypes analysed by 11 SSR markers. Wang et al [40] obtained two groups with five wild soybean population assessed by ten SSR markers and Wen et al [45] also reported two clusters while studying the evolutionary relationship among ecotypes of Glycine max and G. soja in China. Ghosh et al [46] reported two clusters and six sub clusters while studying 32 soybean cultivars with 10 SSR markers.…”

Section: Discussionmentioning

confidence: 99%

Genetic diversity and population structure analysis of Kala bhat (Glycine max (L.) Merrill) genotypes using SSR markers

et al. 2017

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BackgroundKala bhat (Black soybean) is an important legume crop in Uttarakhand state, India, due to its nutritional and medicinal properties. In the current study, the genetic variabilities present in Kala bhat were estimated using SSR markers and its variability was compared with other improved soybean varieties cultivated in Uttarakhand state, India.ResultsSeventy-five genotypes cultivated in different districts of Uttarakhand were collected, and molecular analysis was done using 21 SSR markers. A total of 60 alleles were amplified with an average of 2.85 alleles per locus. The mean value of gene diversity and PIC was estimated to be 0.43 and 0.36, respectively. The unrooted phylogenetic tree grouped soybean genotypes into three major clusters, where, yellow seed coat (improved varieties) genotypes were grouped in one cluster, while reddish brown (improved varieties) and Kala bhat showed intermixing. Population structure divided the soybean genotypes into six different populations. AMOVA analysis showed 12% variance among the population, 66% variance among individual and 22% variance was observed within individuals. Principal Coordinate Analysis (PCoA) also showed that yellow seed coat genotypes were grouped in one cluster, whereas, the Kala bhat showed scattered distribution and few genotypes of Kala bhat showed grouping with red and yellow genotypes.ConclusionsThe different genetic diversity parameters used in the present study indicate that Kala bhat genotypes were more diverse than the yellow seed coat and brown seed coat colour genotypes. Therefore, Kala bhat genotypes can be a good source for the soybean breeding programme due to its better genetic diversity as well as its medicinal properties.

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“…Several salt‐tolerant soybean accessions (including G. soja ) have been identified (Chen et al ., 2013; Guan et al ., 2014; Qi et al ., 2014; Shao et al ., 1986). Due to the artificial selection and loss of some important genes in cultivated soybean during domestication, wild soybean population exhibits higher genetic and allelic diversity than the cultivated soybean (Hyten et al ., 2006; Wang et al ., 2015; Zhou et al ., 2015), which is therefore a valuable genetic pool for breeding new salt‐tolerant varieties.…”

Section: Introductionmentioning

confidence: 99%

Natural variation in the promoter of GsERD15B affects salt tolerance in soybean

Jin

Sun

Zhong

et al. 2021

Plant Biotechnology Journal

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Summary Salt stress has detrimental effects on crop growth and yield, and the area of salt‐affected land is increasing. Soybean is a major source of vegetable protein, oil and feed, but considered as a salt‐sensitive crop. Cultivated soybean (Glycine max) is domesticated from wild soybean (G. soja) but lost considerable amount of genetic diversity during the artificial selection. Therefore, it is important to exploit the gene pool of wild soybean. In this study, we identified 34 salt‐tolerant accessions from wild soybean germplasm and found that a 7‐bp insertion/deletion (InDel) in the promoter of GsERD15B (early responsive to dehydration 15B) significantly affects the salt tolerance of soybean. GsERD15B encodes a protein with transcriptional activation function and contains a PAM2 domain to mediate its interaction with poly(A)‐binding (PAB) proteins. The 7‐bp deletion in GsERD15B promoter enhanced the salt tolerance of soybean, with increased up‐regulation of GsERD15B, two GmPAB genes, the known stress‐related genes including GmABI1, GmABI2, GmbZIP1, GmP5CS, GmCAT4, GmPIP1:6, GmMYB84 and GmSOS1 in response to salt stress. We propose that natural variation in GsERD15B promoter affects soybean salt tolerance, and overexpression of GsERD15B enhanced salt tolerance probably by increasing the expression levels of genes related to ABA‐signalling, proline content, catalase peroxidase, dehydration response and cation transport.

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Genetic diversity of wild soybean populations in Dongying, China, by simple sequence repeat analysis

Cited by 10 publications

References 11 publications

Genetic relationship, population structure analysis and allelic characterization of flowering and maturity genes E1, E2, E3 and E4 among 90 Indian soybean landraces

Genetic relationship, population structure analysis and allelic characterization of flowering and maturity genes E1, E2, E3 and E4 among 90 Indian soybean landraces

Genetic diversity and population structure analysis of Kala bhat (Glycine max (L.) Merrill) genotypes using SSR markers

Natural variation in the promoter of GsERD15B affects salt tolerance in soybean

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