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Association Mapping of Quantitative Trait Loci for Grain Size in Introgression Line Derived from Oryza Rufipogon

文献类型： 外文期刊

作者： Hussain, Kashif 1 ; Zhang Yingxing 1 ; Anley, Workie 4 ; Riaz, Aamir 1 ; Abbas, Adil 1 ; Rani, Md Hasanuzzaman 1 ; Wan 1 ;

作者机构： 1.China Natl Rice Res Inst, Key Lab Zhejiang Super Rice Res, Hangzhou 310006, Peoples R China

2.China Natl Rice Res Inst, State Key Lab Rice Biol, Hangzhou 310006, Peoples R China

3.Govt Sindh, Southern Rice Res Inst Thatta, Agr Res Wing, Sindh 73130, Pakistan

4.Univ Gondar, Dept Plant Sci, POB 196, Gondar, Ethiopia

5.Bangladesh Inst Nucl Agr, Dhaka 2202, Bangladesh

关键词： grain size; association mapping; Oryza sativa; Oryza rufipogon; quantitative trait locus; genome-wide association analysis

期刊名称：RICE SCIENCE （ 影响因子：3.333； 五年影响因子：4.226 ）

ISSN： 1672-6308

年卷期： 2020 年 27 卷 3 期

页码：

收录情况： SCI

摘要： Grain size is one of the critical agronomic traits governing grain yield and quality in rice. However, the underlying genetic mechanisms that control grain size in rice are poorly understood. We used an introgression line derived from Zhonghui 8015 and Oryza rufipogon Griff. This introgression line was evaluated under two different environmental conditions to dissect the quantitative trait loci controlling grain size. Genome-wide association study (GWAS) was performed using 28 193 SNPs through a general linear model, and 56 significant SNPs on different loci associated with the 4 grain size traits were detected. Cloned genes including GS3 and qGL3 showed substantial effects on grain length and size. Seven new stable loci were identified with pleiotropic effects on grain size. Haplotype, gene expression analyses, combined gene-based associations, and functional annotations permitted the shortlisting of important dominant genes including GS3 and qGL3.

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