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

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.

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Publication Details

Journal
BMC Genomic Data
Published
2024-11-11
DOI
https://doi.org/10.1186/s12863-024-01280-4
Citations
1
Primary Topic
Soybean genetics and cultivation
Type
article
Field-Weighted Citation Impact
0.60
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article

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

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1 citations
BMC Genomic Data
Soybean genetics and cultivation
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article

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

Xue Chen, Kai‐Hua Jia, Leilei Li, Rumei Tian, Yun-Zhe Cong, Yan-Yan Pu, Nana Li
article en
1 citations

Abstract

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.

BMC Genomic DataVol. 25(1)
Shandong Academy of Agricultural Sciences (CN), Weifang University (CN)
Zero hunger
Openalex Percentile: Top 21%
Soybean genetics and cultivation
0.60
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