TY - JA AU - Zhangxiong Liu AU - Huihui Li AU - Zixiang Wen AU - Xuhong Fan AU - Yinghui Li AU - Rongxia Guan AU - Yong Guo AU - Shuming Wang AU - Dechun Wang AU - Lijuan Qiu TI - Comparison of genetic diversity between Chinese and American soybean (Glycine max (L.)) accessions revealed by high-density SNPs PY - 2017/// CY - Switzerland PB - Frontiers KW - Soybeans KW - AGROVOC KW - Nucleotide sequence KW - Population Structure KW - Biodiversity KW - China KW - United States of America N1 - Peer review; Open Access N2 - Soybean is one of the most important economic crops for both China and the United States (US). The exchange of germplasm between these two countries has long been active. In order to investigate genetic relationships between Chinese and US soybean germplasm, 277 Chinese soybean accessions and 300 US soybean accessions from geographically diverse regions were analyzed using 5,361 SNP markers. The genetic diversity and the polymorphism information content (PIC) of the Chinese accessions was higher than that of the US accessions. Population structure analysis, principal component analysis, and cluster analysis all showed that the genetic basis of Chinese soybeans is distinct from that of the USA. The groupings observed in clustering analysis reflected the geographical origins of the accessions; this conclusion was validated with both genetic distance analysis and relative kinship analysis. FST-based and EigenGWAS statistical analysis revealed high genetic variation between the two subpopulations. Analysis of the 10 loci with the strongest selection signals showed that many loci were located in chromosome regions that have previously been identified as quantitative trait loci (QTL) associated with environmental-adaptation-related and yield-related traits. The pattern of diversity among the American and Chinese accessions should help breeders to select appropriate parental accessions to enhance the performance of future soybean cultivars UR - https://hdl.handle.net/10883/19475 T2 - Frontiers in Plant Science DO - https://doi.org/10.3389/fpls.2017.02014 ER -