Genetic diversity patterns and domestication origin of soybean View Full Text


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Article Info

DATE

2019-04

AUTHORS

Soon-Chun Jeong, Jung-Kyung Moon, Soo-Kwon Park, Myung-Shin Kim, Kwanghee Lee, Soo Rang Lee, Namhee Jeong, Man Soo Choi, Namshin Kim, Sung-Taeg Kang, Euiho Park

ABSTRACT

KEY MESSAGE: Genotyping data of a comprehensive Korean soybean collection obtained using a large SNP array were used to clarify global distribution patterns of soybean and address the evolutionary history of soybean. Understanding diversity and evolution of a crop is an essential step to implement a strategy to expand its germplasm base for crop improvement research. Accessions intensively collected from Korea, which is a small but central region in the distribution geography of soybean, were genotyped to provide sufficient data to underpin population genetic questions. After removing natural hybrids and duplicated or redundant accessions, we obtained a non-redundant set comprising 1957 domesticated and 1079 wild accessions to perform population structure analyses. Our analysis demonstrates that while wild soybean germplasm will require additional sampling from diverse indigenous areas to expand the germplasm base, the current domesticated soybean germplasm is saturated in terms of genetic diversity. We then showed that our genome-wide polymorphism map enabled us to detect genetic loci underlying flower color, seed-coat color, and domestication syndrome. A representative soybean set consisting of 194 accessions was divided into one domesticated subpopulation and four wild subpopulations that could be traced back to their geographic collection areas. Population genomics analyses suggested that the monophyletic group of domesticated soybeans was likely originated at a Japanese region. The results were further substantiated by a phylogenetic tree constructed from domestication-associated single nucleotide polymorphisms identified in this study. More... »

PAGES

1-15

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00122-018-3271-7

    DOI

    http://dx.doi.org/10.1007/s00122-018-3271-7

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1110908632

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30588539


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