Genome-wide association study of 107 phenotypes in Arabidopsis thaliana inbred lines

被引:1266
作者
Atwell, Susanna
Huang, Yu S.
Vilhjalmsson, Bjarni J.
Willems, Glenda
Horton, Matthew [2 ]
Li, Yan [2 ]
Meng, Dazhe
Platt, Alexander
Tarone, Aaron M.
Hu, Tina T.
Jiang, Rong
Muliyati, N. Wayan [2 ]
Zhang, Xu [2 ]
Amer, Muhammad Ali
Baxter, Ivan [3 ]
Brachi, Benjamin [5 ]
Chory, Joanne [6 ,7 ]
Dean, Caroline [8 ]
Debieu, Marilyne [9 ]
de Meaux, Juliette [9 ]
Ecker, Joseph R. [7 ]
Faure, Nathalie [5 ]
Kniskern, Joel M. [2 ]
Jones, Jonathan D. G. [10 ]
Michael, Todd [7 ]
Nemri, Adnane [10 ]
Roux, Fabrice [2 ,5 ]
Salt, David E. [4 ]
Tang, Chunlao
Todesco, Marco [11 ]
Traw, M. Brian [2 ]
Weigel, Detlef [11 ]
Marjoram, Paul [1 ]
Borevitz, Justin O. [2 ]
Bergelson, Joy [2 ]
Nordborg, Magnus [1 ,12 ]
机构
[1] Univ So Calif, Dept Prevent Med, Keck Sch Med, Los Angeles, CA 90089 USA
[2] Univ Chicago, Dept Ecol & Evolut, Chicago, IL 60637 USA
[3] Bindley Biosci Ctr, W Lafayette, IN 47907 USA
[4] Purdue Univ, W Lafayette, IN 47907 USA
[5] Univ Sci & Technol Lille 1, CNRS, UMR 8016, Lab Genet & Evolut Populat Vegetales, F-59655 Villeneuve Dascq, France
[6] Salk Inst Biol Studies, Howard Hughes Med Inst, La Jolla, CA 92037 USA
[7] Salk Inst Biol Studies, Plant Biol Lab, La Jolla, CA 92037 USA
[8] John Innes Ctr Plant Sci Res, Dept Cell & Dev Biol, Norwich NR4 7UH, Norfolk, England
[9] Max Planck Inst Plant Breeding Res, D-50829 Cologne, Germany
[10] Sainsbury Lab, Norwich NR4 7UH, Norfolk, England
[11] Max Planck Inst Dev Biol, Dept Mol Biol, D-72076 Tubingen, Germany
[12] Gregor Mendel Inst, A-1030 Vienna, Austria
基金
美国国家卫生研究院; 美国国家科学基金会; 英国生物技术与生命科学研究理事会;
关键词
FLOWERING-LOCUS-C; LINKAGE DISEQUILIBRIUM; POPULATION-STRUCTURE; MODEL; DISEASES; PROTEIN; FRIGIDA; TIME;
D O I
10.1038/nature08800
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Although pioneered by human geneticists as a potential solution to the challenging problem of finding the genetic basis of common human diseases(1,2), genome-wide association (GWA) studies have, owing to advances in genotyping and sequencing technology, become an obvious general approach for studying the genetics of natural variation and traits of agricultural importance. They are particularly useful when inbred lines are available, because once these lines have been genotyped they can be phenotyped multiple times, making it possible (as well as extremely cost effective) to study many different traits in many different environments, while replicating the phenotypic measurements to reduce environmental noise. Here we demonstrate the power of this approach by carrying out a GWA study of 107 phenotypes in Arabidopsis thaliana, a widely distributed, predominantly self-fertilizing model plant known to harbour considerable genetic variation for many adaptively important traits(3). Our results are dramatically different from those of human GWA studies, in that we identify many common alleles of major effect, but they are also, in many cases, harder to interpret because confounding by complex genetics and population structure make it difficult to distinguish true associations from false. However, a-priori candidates are significantly over-represented among these associations as well, making many of them excellent candidates for follow-up experiments. Our study demonstrates the feasibility of GWA studies in A. thaliana and suggests that the approach will be appropriate for many other organisms.
引用
收藏
页码:627 / 631
页数:5
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