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

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

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Abstract

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.

Original languageEnglish
Article number467
Number of pages10
JournalNature Communications
Volume2
DOIs
Publication statusPublished - Sep 2011

Keywords

  • arabidopsis-thaliana
  • disease resistance
  • flowering time
  • draft sequence
  • L.
  • protein
  • yield
  • population
  • elongation
  • landraces

Datasets

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Salt, D. (Creator), University of Aberdeen, 1 Jan 2007

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Cite this

Zhao, K., Tung, C-W., Eizenga, G. C., Wright, M. H., Ali, M. L., Price, A. H., Norton, G. J., Islam, M. R., Reynolds, A., Mezey, J., McClung, A. M., Bustamante, C. D., & McCouch, S. R. (2011). Genome-wide association mapping reveals a rich genetic architecture of complex traits in Oryza sativa. Nature Communications, 2, [467]. https://doi.org/10.1038/ncomms1467