Advances in genome-wide association studies of complex traits in rice

被引:91
作者
Wang, Qin [1 ]
Tang, Jiali [1 ]
Han, Bin [2 ]
Huang, Xuehui [1 ]
机构
[1] Shanghai Normal Univ, Coll Life Sci, Shanghai Key Lab Plant Mol Sci, Shanghai 200234, Peoples R China
[2] Chinese Acad Sci, Natl Ctr Gene Res, CAS Ctr Excellence Mol Plant Sci, Inst Plant Physiol & Ecol,Shanghai Inst Biol Sci, Shanghai 200233, Peoples R China
基金
中国国家自然科学基金;
关键词
LINEAR MIXED MODELS; NATURAL VARIATION; AGRONOMIC TRAITS; GENETIC ARCHITECTURE; VARIATION REVEALS; ORYZA-SATIVA; GRAIN SHAPE; DIVERSITY; DOMESTICATION; ADAPTATION;
D O I
10.1007/s00122-019-03473-3
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Genome-wide association studies (GWAS), genetic surveys of the whole genome to detect variants associated with a trait in natural populations, are a powerful approach for dissecting complex traits. This genetic mapping approach has been applied in rice over the last 10 years. During the last decade, GWAS was used to identify the loci underlying tens of rice traits, and several important genes were detected in GWAS and further confirmed in follow-up functional experiments. In this review, we present an overview of the whole process in a typical GWAS, including population design, genotyping, phenotyping and analysis methods. Recent advances in rice GWAS are also provided, including several examples of the functional characterization of candidate genes. The possible breakthroughs of rice GWAS in the next decade are discussed with regard to their application in breeding, the consideration of epistatic interactions and in-depth functional annotations of DNA elements and genetic variants throughout the rice genome.
引用
收藏
页码:1415 / 1425
页数:11
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