Identification and Allele Combination Analysis of Rice Grain Shape-Related Genes by Genome-Wide Association Study |
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Authors: | Bingxin Meng Tao Wang Yi Luo Ying Guo Deze Xu Chunhai Liu Juan Zou Lanzhi Li Ying Diao Zhiyong Gao Zhongli Hu Xingfei Zheng |
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Affiliation: | 1.State Key Laboratory of Hybrid Rice, Hubei Lotus Engineering Center, College of Life Sciences, Wuhan University, Wuhan 430072, China; (B.M.); (T.W.); (Y.L.); (Y.D.); (Z.H.);2.Institute of Food Crops, Hubei Academy of Agricultural Sciences, Wuhan 430064, China; (Y.G.); (D.X.); (J.Z.);3.Hunan Engineering Technology Research Center, Hunan Agricultural University, Changsha 410128, China; (C.L.); (L.L.) |
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Abstract: | Grain shape is an important agronomic character of rice, which affects the appearance, processing, and the edible quality. Screening and identifying more new genes associated with grain shape is beneficial to further understanding the genetic basis of grain shape and provides more gene resources for genetic breeding. This study has a natural population containing 623 indica rice cultivars. Genome-wide association studies/GWAS of several traits related to grain shape (grain length/GL, grain width/GW, grain length to width ratio/GLWR, grain circumferences/GC, and grain size/grain area/GS) were conducted by combining phenotypic data from four environments and the second-generation resequencing data, which have identified 39 important Quantitative trait locus/QTLs. We analyzed the 39 QTLs using three methods: gene-based association analysis, haplotype analysis, and functional annotation and identified three cloned genes (GS3, GW5, OsDER1) and seven new candidate genes in the candidate interval. At the same time, to effectively utilize the genes in the grain shape-related gene bank, we have also analyzed the allelic combinations of the three cloned genes. Finally, the extreme allele combination corresponding to each trait was found through statistical analysis. This study’s novel candidate genes and allele combinations will provide a valuable reference for future breeding work. |
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Keywords: | grain shape GWAS gene-based association analysis haplotype analysis allele combination analysis |
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