Genetic control of the root system in rice under normal and drought stress conditions by genome-wide association study
- PMID: 28686596
- PMCID: PMC5521850
- DOI: 10.1371/journal.pgen.1006889
Genetic control of the root system in rice under normal and drought stress conditions by genome-wide association study
Abstract
A variety of adverse conditions including drought stress severely affect rice production. Root system plays a critical role in drought avoidance, which is one of the major mechanisms of drought resistance. In this study, we adopted genome-wide association study (GWAS) to dissect the genetic basis controlling various root traits by using a natural population consisting of 529 representative rice accessions. A total of 413 suggestive associations, containing 143 significant associations, were identified for 21 root traits, such as maximum root length, root volume, and root dry weight under normal and drought stress conditions at the maturation stage. More than 80 percent of the suggestive loci were located in the region of reported QTLs for root traits, while about 20 percent of suggestive loci were novel loci detected in this study. Besides, 11 reported root-related genes, including DRO1, WOX11, and OsPID, were found to co-locate with the association loci. We further proved that the association results can facilitate the efficient identification of causal genes for root traits by the two case studies of Nal1 and OsJAZ1. These loci and their candidate causal genes provide an important basis for the genetic improvement of root traits and drought resistance.
Conflict of interest statement
The authors have declared that no competing interests exist.
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References
-
- Zhang Q, Wing R. Genome studies and molecular genetics: understanding the functional genome based on the rice model. Curr Opin Plant Biol. 2013. May;16(2):129–32. doi: 10.1016/j.pbi.2013.04.003 - DOI - PubMed
-
- Hu HH, Xiong LZ. Genetic Engineering and Breeding of Drought-Resistant Crops. Annu Rev Plant Biol. 2014;65:715–41. doi: 10.1146/annurev-arplant-050213-040000 - DOI - PubMed
-
- Uga Y, Sugimoto K, Ogawa S, Rane J, Ishitani M, Hara N, et al. Control of root system architecture by DEEPER ROOTING 1 increases rice yield under drought conditions. Nature Genetics. 2013. September;45(9):1097–102. doi: 10.1038/ng.2725 - DOI - PubMed
-
- Champoux MC, Wang G, Sarkarung S, Mackill DJ, O'Toole JC, Huang N, et al. Locating genes associated with root morphology and drought avoidance in rice via linkage to molecular markers. Theor Appl Genet. 1995. June;90(7–8):969–81. doi: 10.1007/BF00222910 - DOI - PubMed
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