Genome-Wide Association Study of Rice Rooting Ability at the Seedling Stage

文献类型： 外文期刊

第一作者： Xu, Xin

作者： Xu, Xin;Ye, Junhua;Yang, Yingying;Zhang, Mengchen;Xu, Qun;Feng, Yue;Yuan, Xiaoping;Yu, Hanyong;Wang, Yiping;Yang, Yaolong;Wei, Xinghua

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关键词： Rice; Root growth ability; GWAS; Genetic architecture

期刊名称：RICE （ 影响因子：4.783； 五年影响因子：5.23 ）

ISSN： 1939-8425

年卷期： 2020 年 13 卷 1 期

页码：

收录情况： SCI

摘要： Background Rice rooting ability is a complex agronomical trait that displays heterosis and plays an important role in rice growth and production. Only a few quantitative trait loci (QTLs) have been identified by bi-parental population. More genes or QTLs are required to dissect the genetic architecture of rice rooting ability. Results To characterize the genetic basis for rice rooting ability, we used a natural rice population, genotyped by a 90 K single nucleotide polymorphism (SNP) array, to identify the loci associated with rooting-related traits through the genome-wide association study (GWAS). Population structure analysis divided the natural population into two subgroups:indicaandjaponica. We measured four traits for evaluating rice rooting ability, namely root growth ability (RGA), maximum root length (MRL), root length (RL), and root number (RN). Using the association study in three panels consisting of one for the full population, one forindica, and one forjaponica, 24 SNPs associated with rooting ability-related traits were identified. Through comparison of the relative expression levels and DNA sequences between germplasm with extreme phenotypes, results showed thatLOC_Os05g11810had non-synonymous variations at the coding region, which may cause differences in root number, and that the expression levels ofLOC_Os04g09900andLOC_Os04g10060are closely associated with root length variation. Conclusions Through evaluation of the rice rooting ability-related traits and the association mapping, we provided useful information for understanding the genetic basis of rice rooting ability and also identified some candidate genes and molecular markers for rice root breeding.

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