Genome-wide association study-based identification genes influencing agronomic traits in rice (Oryza sativa L.)
文献类型： 外文期刊
作者： Wang, Aijun 1 ; Jiang, Yuqi 1 ; Shu, Xinyue 1 ; Zha, Zhongping 2 ; Yin, Desuo 2 ; Liu, Yao 1 ; Zhang, Danhua 1 ; Xu, Deze 2 ;
作者机构： 1.Sichuan Agr Univ, Coll Agron, Chengdu, Peoples R China
2.Hubei Acad Agr Sci, Food Crop Inst, Wuhan, Peoples R China
3.State Key Lab Crop Gene Explorat & Utilizat South, Chengdu, Peoples R China
4.Sichuan Agr Univ, Rice Res Inst, Chengdu, Peoples R China
5.Novogene Bioinformat Inst, Beijing 100083, Peoples R China
关键词： Rice; GWAS; Agronomic traits; SNPs; Candidate genes
期刊名称：GENOMICS （ 影响因子：5.736； 五年影响因子：4.939 ）
ISSN： 0888-7543
年卷期： 2021 年 113 卷 3 期
页码：
收录情况： SCI
摘要： Rice is one of the most important cereal crops, providing the daily dietary intake for approximately 50% of the global human population. Here, we re-sequenced 259 rice accessions, generating 1371.65 Gb of raw data. Furthermore, we performed genome-wide association studies (GWAS) on 13 agronomic traits using 2.8 million single nucleotide polymorphisms (SNPs) characterized in 259 rice accessions. Phenotypic data and best linear unbiased prediction (BLUP) values of each of the 13 traits over two years of each trait were used for the GWAS. The results showed that 816 SNP signals were significantly associated with the 13 agronomic traits. Then we detected candidate genes related to target traits within 200 kb upstream and downstream of the associated SNP loci, based on linkage disequilibrium (LD) blocks in the whole rice genome. These candidate genes were further identified through haplotype block constructions. This comprehensive study provides a timely and important genomic resource for breeding high yielding rice cultivars.
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