Analysis of SSRs uncovers hierarchial structure and genetic diversity in Chinese soybean landraces

Y.H. Li, M.J.M. Smulders, R.Z. Chang, L.J. Qiu

Research output: Contribution to journalArticleAcademicpeer-review

8 Citations (Scopus)

Abstract

For clarifying the hierarchical patterns of population structure of soybean landraces in China, the seven clusters previously identified using Bayesian clustering of 1 504 soybean landraces based on SSR markers genotyping data were further analyzed. Using the largest value of ¿K, these landraces could be split into 20 sub-clusters, which was supported by highly significant pairwise Fst-values and generally in accordance with the geographic origin and sowing types. The autumn-sowing types ended up in one distinct sub-cluster from the otherwise summer-sowing type, where the autumn-sowing types are most likely derived from. The division into 20 sub-clusters explained 7.3% of the genetic variation, next to 9.7% present among the seven clusters, 81.1% residing among landraces within sub-clusters, and 1.9% within the landraces. The distribution pattern of genetic diversity among the sub-clusters of each cluster was uneven, with two HSuM sub-clusters (Central China) and some South China sub-clusters showing significantly higher level of genetic diversity.
Original languageEnglish
Pages (from-to)1739-1748
JournalAgricultural Sciences in China
Volume9
Issue number12
DOIs
Publication statusPublished - 2010

Keywords

  • population-structure
  • differentiation
  • assignment
  • software
  • number

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