The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Genome-wide association mapping reveals a rich genetic architecture of complex traits in Oryza sativa
Open accessAbstract
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. Understanding the genetics and physiology of domesticated species is important for crop improvement. By studying natural variation and the phenotypic traits of 413 diverse accessions of rice, Zhao et al. identify many common genetic variants that influence quantitative traits such as seed size and flowering time.
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PLINK: a tool set for whole-genome association and population-based linkage analyses.
Purcell, S., Neale, B., Todd-Brown, K., Thomas, L., Ferreira, M. A. R., Bender, D., Maller, J., Sklar, P., de Bakker, P. I. W., Daly, M. J., et al. (2007) · The American Journal of Human Genetics · doi:10.1086/519795 · Cited by 34,089
Principal components analysis corrects for stratification in genome-wide association studies
Price, A. L., Patterson, N. J., Plenge, R. M., Weinblatt, M. E., Shadick, N. A., & Reich, D. (2006) · Nature Genetics · doi:10.1038/ng1847 · Cited by 10,248
Self-citationGenome-wide association study of 107 phenotypes in Arabidopsis thaliana inbred lines
Atwell, S., Huang, Y. S., Vilhjálmsson, B. J., Willems, G., Horton, M., Li, Y., Meng, D., Platt, A., Tarone, A. M., Hu, T. T., et al. (2010) · Nature · doi:10.1038/nature08800 · Cited by 1,780
Trait-associated SNPs are more likely to be eQTLs: annotation to enhance discovery from GWAS
Nicolae, D. L., Gamazon, E., Zhang, W., Duan, S., Dolan, M. E., & Cox, N. J. (2010) · PLoS Genetics · doi:10.1371/journal.pgen.1000888 · Cited by 1,292
Genetic Structure and Diversity in Oryza sativa L.
Garris, A. J., Tai, T. H., Coburn, J., Kresovich, S., & McCouch, S. (2005) · Genetics · doi:10.1534/genetics.104.035642 · Cited by 1,137
Self-citationLuesse, D. R., DeBlasio, S. L., & Hangarter, R. P. (2006) · Plant Physiology · doi:10.1104/pp.106.080333 · Cited by 74
Cited by
Wani, A. A., Singh, P., Shah, M. A., Schweiggert‐Weisz, U., Gul, K., & Wani, I. A. (2012) · Comprehensive Reviews in Food Science and Food Safety · doi:10.1111/j.1541-4337.2012.00193.x · Cited by 583
Genome-wide association mapping of salinity tolerance in rice (Oryza sativa)
Kumar, V., Singh, A., Mithra, S. V. A., Krishnamurthy, S. L., Parida, S. K., Jain, S., Tiwari, K. K., Kumar, P., Rao, A. R., Sharma, S. K., et al. (2015) · DNA Research · doi:10.1093/dnares/dsu046 · Cited by 328
Dell’Acqua, M., Gatti, D. M., Pea, G., Cattonaro, F., Coppens, F., Magris, G., Hlaing, A. L., Aung, H. H., Nelissen, H., Baute, J., et al. (2015) · Genome Biology · doi:10.1186/s13059-015-0716-z · Cited by 272
Cardoso, C., Zhang, Y., Jamil, M., Hepworth, J., Charnikhova, T., Dimkpa, S. O. N., Meharg, C., Wright, M. H., Liu, J., Meng, X., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1317360111 · Cited by 163
Self-citationUsing Genetic Distance to Infer the Accuracy of Genomic Prediction
Scutari, M., Mackay, I., & Balding, D. (2016) · PLOS Genetics · doi:10.1371/journal.pgen.1006288 · Cited by 137
Metadata
- Authors
- 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.
- Venue
- Nature Communications
- Published
- 2011-09-13
- Volume
- 2
- Issue
- 1
- Pages
- 467-467
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2017586115
- Cited by
- 1,408
- References
- 6
- FWCI
- 38.37
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- 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. https://doi.org/10.1038/ncomms1467
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