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Genetic architecture of wild soybean ( Glycine soja Sieb. and Zucc.) populations originating from different East Asian regions
Genetic Resources and Crop Evolution ( IF 2 ) Pub Date : 2021-01-06 , DOI: 10.1007/s10722-020-01087-z
Muhammad Amjad Nawaz , Xiao Lin , Ting-Fung Chan , Hon-Ming Lam , Faheem Shehzad Baloch , Muhammad Amjad Ali , Kirill S. Golokhvast , Seung Hwan Yang , Gyuhwa Chung

East Asian region is home to wild soybean and has high topographic complexity. Measuring genetic diversity and geographical distribution patterns are essential steps to expand the germplasm base. We used SoySNP6K to determine the genetic diversity and population genetic structure of the wild soybean populations from four East-Asian geographies i.e. China, Japan, Korea, and Russian Far East. The wild soybean populations from China, Japan, and Korea are distinct from one another based on genetic structure, whereas the one from Russian Far East was not distinguishable from the Chinese wild soybeans. These populations share three ancestral populations and have a large number of common SNPs. Despite the low genetic diversity scores between the populations, the Chinese accessions had the highest genetic diversity values while the accession from Russian Far East had the lowest. Our analysis also showed that the population is showing a departure from the Hardy–Weinberg equilibrium and there is a possibility of inbreeding for most of the loci. The results showed that the genetic variation follows the geographic distribution within each geographically distinct wild soybeans population. Therefore, a diverse collection of wild soybeans representing all-natural habitats should include representatives from each of these sub-centers. This population would provide important breeding materials to expand the allelic pool of cultivated soybeans through introgression. Based on these criteria, the Chung’s wild legume germplasm collection from Korea provides a good representation of the genetic diversity in wild soybeans for use in soybean breeding programs.

更新日期:2021-01-06
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