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

被引:0
|
作者
Qin Wang
Jiali Tang
Bin Han
Xuehui Huang
机构
[1] Shanghai Normal University,Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences
[2] Chinese Academy of Sciences,National Center for Gene Research, CAS Center for Excellence of Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences
来源
关键词
D O I
暂无
中图分类号
学科分类号
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:10
相关论文
共 50 条
  • [41] Genome-wide association studies of yield-related traits in high-latitude japonica rice
    Guomin Zhang
    Rongsheng Wang
    Juntao Ma
    Hongru Gao
    Lingwei Deng
    Nanbo Wang
    Yongli Wang
    Jun Zhang
    Kun Li
    Wei Zhang
    Fengchen Mu
    Hui Liu
    Ying Wang
    [J]. BMC Genomic Data, 22
  • [42] Genome-wide genetic association of complex traits in heterogeneous stock mice
    Valdar, William
    Solberg, Leah C.
    Gauguier, Dominique
    Burnett, Stephanie
    Klenerman, Paul
    O Cookson, William
    Taylor, Martin S.
    Rawlins, J. Nicholas P.
    Mott, Richard
    Flint, Jonathan
    [J]. NATURE GENETICS, 2006, 38 (08) : 879 - 887
  • [43] Genome-wide genetic association of complex traits in heterogeneous stock mice
    William Valdar
    Leah C Solberg
    Dominique Gauguier
    Stephanie Burnett
    Paul Klenerman
    William O Cookson
    Martin S Taylor
    J Nicholas P Rawlins
    Richard Mott
    Jonathan Flint
    [J]. Nature Genetics, 2006, 38 : 879 - 887
  • [44] Regional heritability mapping and genome-wide association identify loci for rice traits
    Suela, Matheus M.
    Azevedo, Camila F.
    Nascimento, Moyses
    Nascimento, Ana Carolina C.
    de Resende, Marcos Deon, V
    [J]. CROP SCIENCE, 2022, 62 (02) : 839 - 858
  • [45] Genome-wide association study of agronomic traits in rice cultivated in temperate regions
    Reig-Valiente, Juan L.
    Marques, Luis
    Talon, Manuel
    Domingo, Concha
    [J]. BMC GENOMICS, 2018, 19
  • [46] Genome-wide association studies
    [J]. Nature Reviews Methods Primers, 1
  • [47] Genome-wide association studies
    Uffelmann, Emil
    Huang, Qin Qin
    Munung, Nchangwi Syntia
    de Vries, Jantina
    Okada, Yukinori
    Martin, Alicia R.
    Martin, Hilary C.
    Lappalainen, Tuuli
    Posthuma, Danielle
    [J]. NATURE REVIEWS METHODS PRIMERS, 2021, 1 (01):
  • [48] Genome-wide association study of agronomic traits in rice cultivated in temperate regions
    Juan L Reig-Valiente
    Luis Marqués
    Manuel Talón
    Concha Domingo
    [J]. BMC Genomics, 19
  • [49] Genome-Wide Association Studies
    Guo, Xiuqing
    Rotter, Jerome I.
    [J]. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2019, 322 (17): : 1705 - 1706
  • [50] On the value of family data in genome-wide association studies for quantitative traits
    Saad, M.
    Saint-Pierre, A.
    Martinez, M.
    [J]. ANNALS OF HUMAN GENETICS, 2009, 73 : 669 - 669