Genome-wide association mapping reveals a rich genetic architecture of complex traits in Oryza sativa

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作者
Keyan Zhao
Chih-Wei Tung
Georgia C. Eizenga
Mark H. Wright
M. Liakat Ali
Adam H. Price
Gareth J. Norton
M. Rafiqul Islam
Andy Reynolds
Jason Mezey
Anna M. McClung
Carlos D. Bustamante
Susan R. McCouch
机构
[1] Cornell University,Department of Biological Statistics and Computational Biology
[2] Stanford University,Department of Genetics
[3] Cornell University,Department of Plant Breeding and Genetics
[4] USDA ARS,Department of Soil Science
[5] Dale Bumpers National Rice Research Center,undefined
[6] Rice Research and Extension Center,undefined
[7] University of Arkansas,undefined
[8] Institute of Biological and Environmental Sciences,undefined
[9] University of Aberdeen,undefined
[10] Bangladesh Agricultural University,undefined
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Asian rice, Oryza sativa is a cultivated, inbreeding species that feeds over half of the world's population. Understanding the genetic basis of diverse physiological, developmental, and morphological traits provides the basis for improving yield, quality and sustainability of rice. Here we show the results of a genome-wide association study based on genotyping 44,100 SNP variants across 413 diverse accessions of O. sativa collected from 82 countries that were systematically phenotyped for 34 traits. Using cross-population-based mapping strategies, we identified dozens of common variants influencing numerous complex traits. Significant heterogeneity was observed in the genetic architecture associated with subpopulation structure and response to environment. This work establishes an open-source translational research platform for genome-wide association studies in rice that directly links molecular variation in genes and metabolic pathways with the germplasm resources needed to accelerate varietal development and crop improvement.
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