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Association Mapping of Quantitative Trait Loci for Grain Size in Introgression Line Derived from Oryza rufipogon
Hussain Kashif, Yingxing Zhang, Anley Workie, Riaz Aamir, Abbas Adil, Rani Md. Hasanuzzaman, Hong Wang, Xihong Shen, Liyong Cao* and Shihua Cheng*
Rice Science , 2020,27(3):246−254
DOI:10.1016/j.rsci.2020.04.007

Abstract


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.