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

Autor: Lei-Lei Li, Ru-Mei Tian, Yan-Yan Pu, Yun-Zhe Cong, Xue Chen, Kai-Hua Jia, Na-Na Li
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: BMC Genomic Data, Vol 25, Iss 1, Pp 1-3 (2024)
Druh dokumentu: article
ISSN: 2730-6844
DOI: 10.1186/s12863-024-01280-4
Popis: Abstract Objectives Wild 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 description In 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.
Databáze: Directory of Open Access Journals
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