Genetic diversity of wild soybean (Glycine soja Sieb. et Zucc.) and Japanese cultivated soybeans [G. max (L.) Merr.] based on microsatellite (SSR) analysis and the selection of a core collection

Kuroda, Yosuke; Tomooka, Norihiko; Kaga, Akito; Wanigadeva, S. M. S. W.; Vaughan, Duncan A.

doi:10.1007/s10722-009-9425-3

Cited by 49 publications

(47 citation statements)

References 25 publications

(31 reference statements)

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“…However, these results were lower than that reported by Wang et al (2006), who obtained PIC values ranging from 0.5 to 0.92 with a mean of 0.78, when analyzing 129 accessions of soybeans. Various authors have described the efficiency of SSR markers when analyzing genetic diversity (Fu et al, 2007;Kuroda et al, 2009;Guan et al, 2010), also were observed in the present work, whose the SSR markers selected were informative and useful for studies of genetic diversity in soybeans. Studying genetic variability in 105 soybean accessions, Shi et al (2010) used 65 SSR primer-pairs and Mulato et al (2010), evaluating 79 soybean accessions from different regions of the world, found a high genetic diversity among them using only 30 SSR primers.…”

Section: Diversity Based On Molecular Markerssupporting

confidence: 67%

Genetic divergence of roundup ready (RR) soybean cultivars estimated by phenotypic characteristics and molecular markers

Villela¹,

Uneda-Trevisoli²,

Silva³

et al. 2014

Afr. J. Biotechnol.

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The aim of this study was to estimate the genetic diversity in 74 RR soybean cultivars from different Brazilian breeding programs. Analyzes were based on multivariate statistical techniques from phenotypic characteristics and microsatellite molecular markers (SSR). Ten agronomic traits were used in the analysis of the Euclidean distance, Tocher's clustering, UPGMA clustering and principal component analysis. Eighty-six of 100 SSR primer-pairs studied were selected based on their polymorphism information content, and analyzed using Jaccard Coefficient and UPGMA clustering method. The cultivars were clustered into seven groups according to the UPGMA and Tocher's methods, based on agronomic traits, while molecular analysis identified six groups. The phenotypic distances ranged from 0.46 to 9.79 and the dissimilarity measurements, based on SSR molecular markers, ranged from 0.07 to 0.73. Both results from agronomic traits and molecular markers showed that there is genetic variability among the RR cultivars and that the Monsanto breeding program has the most divergent germplasm. The analyzed agronomic traits and the chosen SSR markers were effective in assessing the genetic diversity among genotypes, besides proving to be useful for characterizing genetic variability of soybean germplasm.

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Section: Diversity Based On Molecular Markerssupporting

confidence: 67%

Genetic divergence of roundup ready (RR) soybean cultivars estimated by phenotypic characteristics and molecular markers

Villela¹,

Uneda-Trevisoli²,

Silva³

et al. 2014

Afr. J. Biotechnol.

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“…The simple sequence repeats (SSRs) have been widely applied to evaluate genetic diversity in maize (Smith et al, 1997;Pinto et al, 2003;Reif et al, 2003;Adetimirin et al, 2008;Warburton et al, 2008;Kuroda et al, 2009). Terra et al (2011) and Adeyemo et al (2011) also reported the efficiency of microsatellite markers in studies of genetic diversity.…”

Section: Introductionmentioning

confidence: 99%

Genetic diversity in elite inbred lines of maize and its association with heterosis

Fernandes¹,

Schuster²,

Scapim³

et al. 2015

Genet. Mol. Res.

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ABSTRACT. The objective of the current study was to apply molecular markers (microsatellites) in the analysis of genetic diversity of 48 lines of the elite maize germplasm stored in the bank of the Cooperativa Central de Pesquisa Agrícola -Coodetec, PR, Brazil, and estimate the correlation between genetic distance and heterosis and hybrid performance from the crosses among these maize lines. Fortyfour random primers were used and amplification of 124 polymorphic fragments was obtained. The expected findings from the correlation of the yield and heterosis with the genetic distance were non-significant. However, the results suggested that data from the extreme distances could be used in breeding for more productive crosses and heterotic hybrids. Thereby, molecular markers are efficient tools for predicting hybrid performance.

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“…Previous studies have used molecular markers to help the identification of genetic divergent accessions (Lee et al, 2008;Li et al, 2009). Microsatellite or simple sequence repeats (SSR) markers are considered useful to these approaches, due to their effectiveness in genealogy analysis and in the assessment of genetic diversity among organisms (Narvel et al, 2000;Kuroda et al, 2009). The use of functional molecular markers, such as those developed from expressed sequence tags (EST), allows direct access to the population diversity in genes of agronomic interest, facilitating the association between genotype and phenotype.…”

Section: Introductionmentioning

confidence: 99%

Genetic diversity in soybean germplasm identified by SSR and EST-SSR markers

Mulato

Möller

Zucchi

et al. 2010

Pesq. agropec. bras.

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-The objectives of this work were to investigate the genetic variation in 79 soybean (Glycine max) accessions from different regions of the world, to cluster the accessions based on their similarity, and to test the correlation between the two types of markers used. Simple sequence repeat markers present in genomic (SSR) and in expressed regions (EST-SSR) were used. Thirty SSR primer-pairs were selected (20 genomic and 10 EST-SSR) based on their distribution on the 20 genetic linkage groups of soybean, on their trinucleotide repetition unit and on their polymorphism information content. All analyzed loci were polymorphic, and 259 alleles were found. The number of alleles per locus varied from 2-21, with an average of 8.63. The accessions exhibit a significant number of rare alleles, with genotypes 19, 35, 63 and 65 carrying the greater number of exclusive alleles. Accessions 75 and 79 were the most similar and accessions 31 and 35, and 40 and 78, were the most divergent ones. A low correlation between SSR and EST-SSR data was observed, thus genomic and expressed microsatellite markers are required for an appropriate analysis of genetic diversity in soybean. The genetic diversity observed was high and allowed the formation of five groups and several subgroups. A moderate relationship between genetic divergence and geographic origin of accessions was observed.Index terms: Glycine max, molecular marker, plant breeding, plant germplasm, polymorphism information content. Termos para indexação: Glycine max, marcadores moleculares, melhoramento de plantas, germoplasma vegetal, conteúdo de informação polimórfica. Diversidade genética em germoplasma de soja identificada por marcadores SSR e EST-SSR

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Genetic diversity of wild soybean (Glycine soja Sieb. et Zucc.) and Japanese cultivated soybeans [G. max (L.) Merr.] based on microsatellite (SSR) analysis and the selection of a core collection

Cited by 49 publications

References 25 publications

Genetic divergence of roundup ready (RR) soybean cultivars estimated by phenotypic characteristics and molecular markers

Genetic divergence of roundup ready (RR) soybean cultivars estimated by phenotypic characteristics and molecular markers

Genetic diversity in elite inbred lines of maize and its association with heterosis

Genetic diversity in soybean germplasm identified by SSR and EST-SSR markers

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