Nant Nyein Zar Ni Naing^1,4 , Chunli Wang^1,3 , Cui Zhang^1,3 , Junjie Li^1,3 , Juan Li^1,2,3 , Qian Zhu^1,2,3 , Lijuan Chen^1,2,3 , Dongsun Lee^1,2,3

1 Rice Research Institute, Yunnan Agricultural University, Kunming, 650201, Yunnan, China
2 The Key Laboratory for Crop Production and Smart Agriculture of Yunnan Province, Yunnan Agricultural University, Kunming, 650201, Yunnan, China
3 State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, 650201, Yunnan, China
4 Department of Plant Breeding, Physiology and Ecology, Yezin Agricultural University (YAU), Nay Pyi Taw, 15013, Myanmar
Author    Correspondence author
Plant Gene and Trait, 2024, Vol. 15, No. 5   
Received: 19 Aug., 2024    Accepted: 22 Sep., 2024    Published: 30 Sep., 2024

This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

The genetic basis of grain shape and palatability of rice is complex, involving multiple genes and QTLs. The combination of Genome-wide association study (GWAS) and functional genomics has greatly improved researchers' understanding of these traits. GWAS has identified important loci and candidate genes that regulate grain shape, including GS3, GW5, and qSW5, and discussed natural variation and artificial selection of these key genes, which play a critical role in the formation of grain size and quality during evolution. This paper highlights the importance of allelic combination and haplotype analysis in understanding the genetic structure of grain shape and palatability, and these findings provide a strong framework for future rice breeding programs to improve grain yield and quality. This paper is expected to provide a comprehensive review of the genetic basis of rice grain shape and palatability through genome-wide analysis, and to identify key genes and quantitative trait loci (QTLs) that influence these traits, thereby offering valuable insights for rice breeding programs.

Rice grain shape; Quantitative trait loci (QTLs); Genome-wide association study (GWAS); Genetic variation; Rice breeding