Molecular and genetic dissection of the USDA rice mini-core collection using high-density SNP markers

文献类型： 外文期刊

第一作者： Song, Jian-Min

作者： Song, Jian-Min;Zi, Yan;Song, Jian-Min;Arif, Muhammad;Zhang, Meiping;Zhang, Hong -Bin;Arif, Muhammad;Sze, Sing-Hoi;Sze, Sing-Hoi

作者机构：

关键词： Population structure; Genetic diversity; High-density SNP markers; USDA rice mini-core collection; Subpopulations

期刊名称：PLANT SCIENCE （ 影响因子：4.729； 五年影响因子：5.132 ）

ISSN： 0168-9452

年卷期： 2021 年 308 卷

页码：

收录情况： SCI

摘要： Molecular tools and knowledge of crop germplasm are vital for their effective utilization. In this study, we developed 40,866 high-quality and well distributed SNPs for a rice mini-core collection (RMC) developed by the United States Department of Agriculture (USDA). The high-quality SNPs clustered the USDA-RMC into five subpopulations (Ind, indica; Aus, aus; Afr, African rice; TeJ, temperate japonica; TrJ, tropical japonica) and one admixture (Adm). This classification was further confirmed by phylogenetic and principal component analyses. The rice ARO (aromatic) subpopulation of previous studies was re-assigned with Adm and the WD (wild-type) subpopulation was re-defined to the Afr subpopulation because most of its accessions are African cultivated rice. The Aus and Ind subpopulations had a substantially wider genetic variation than the TrJ and TeJ subpopulations. The genetic diversities were much larger between the Ind or Aus subpopulation and the TrJ or TeJ subpopulation than between the Afr subpopulation and the Ind, Aus, TrJ or TeJ subpopulation. Comparative agronomic trait analysis between the subpopulations also supported the genetic structure and variation of the RMC, and suggested the existence of extensive variation in the genes controlling agronomic traits among them. Furthermore, analysis of ancestral membership of the RMC accessions revealed that reproductive barrier or wide incompatibility existed between the Indica and Japonica groups, while gene flow occurred between them. These results provide high-quality SNPs and knowledge of genetic structure and diversity of the USDA-RMC necessary for enhanced rice research and breeding.

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