Comprehensive analysis of the genetic variation dataset among wild soybean (Glycine soja) in Shandong Province, China

文献类型： 外文期刊

第一作者： Li, Lei-Lei

作者： Li, Lei-Lei;Tian, Ru-Mei;Pu, Yan-Yan;Cong, Yun-Zhe;Jia, Kai-Hua;Li, Na-Na;Chen, Xue

作者机构：

关键词： Wild soybean; Population genetics; Structure; Re-sequencing

期刊名称：BMC GENOMIC DATA （ 影响因子：2.5； 五年影响因子：2.4 ）

ISSN：

年卷期： 2024 年 25 卷 1 期

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收录情况： SCI

摘要： ObjectivesWild soybean (Glycine soja), the ancestor of domesticated soybean, retains a higher level of genetic diversity and adaptability to harsh environments, making it highly valuable for breeding. Here, we re-sequenced 69 wild soybean individuals collected by the Shandong Academy of Agricultural Sciences and identified 1,613,162 high-quality SNPs which not only enriches our understanding of the genetic structure of wild soybean, but also provides valuable resources for further genomic research and genetic improvement of soybean.Data descriptionIn this study, we collected 69 wild soybean accessions from Shandong Province, China, and performed re-sequencing on the DNBSEQ platform, followed by SNPs identification. We then integrated ADMIXTURE, neighbor-joining tree, and principal component analysis to illustrate population characteristics. The results showed that these wild soybean accessions could be divided into three distinct subpopulations, exhibiting significant genetic differences.

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