Rice Science ›› 2020, Vol. 27 ›› Issue (3): 246-254.DOI: 10.1016/j.rsci.2020.04.007

• Research Paper • Previous Articles    

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

Hussain Kashif1,2, Yingxing Zhang1, Anley Workie3, Riaz Aamir1, Abbas Adil1, Hasanuzzaman Rani Md.1,4, Hong Wang1, Xihong Shen1, Liyong Cao1(), Shihua Cheng1()   

  1. 1Key Laboratory for Zhejiang Super Rice Research & State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou 310006, China
    2Southern Rice Research Institute Thatta, Agriculture Research Wing, Government of Sindh, Sindh 73130, Pakistan
    3Department of Plant Sciences, University of Gondar, P.O.Box 196, Ethiopia
    4Bangladesh Institute of Nuclear Agriculture, Dhaka 2202, Bangladesh
  • Received:2019-03-08 Accepted:2019-06-04 Online:2020-05-28 Published:2020-01-17

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.

Key words: grain size, association mapping, Oryza sativa, Oryza rufipogon, quantitative trait locus, genome-wide association analysis