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GWAS with principal component analysis identifies a gene comprehensively controlling rice architecture.


ABSTRACT: Elucidation of the genetic control of rice architecture is crucial due to the global demand for high crop yields. Rice architecture is a complex trait affected by plant height, tillering, and panicle morphology. In this study, principal component analysis (PCA) on 8 typical traits related to plant architecture revealed that the first principal component (PC), PC1, provided the most information on traits that determine rice architecture. A genome-wide association study (GWAS) using PC1 as a dependent variable was used to isolate a gene encoding rice, SPINDLY (OsSPY), that activates the gibberellin (GA) signal suppression protein SLR1. The effect of GA signaling on the regulation of rice architecture was confirmed in 9 types of isogenic plant having different levels of GA responsiveness. Further population genetics analysis demonstrated that the functional allele of OsSPY associated with semidwarfism and small panicles was selected in the process of rice breeding. In summary, the use of PCA in GWAS will aid in uncovering genes involved in traits with complex characteristics.

SUBMITTER: Yano K 

PROVIDER: S-EPMC6800328 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature

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GWAS with principal component analysis identifies a gene comprehensively controlling rice architecture.

Yano Kenji K   Morinaka Yoichi Y   Wang Fanmiao F   Huang Peng P   Takehara Sayaka S   Hirai Takaaki T   Ito Aya A   Koketsu Eriko E   Kawamura Mayuko M   Kotake Kunihiko K   Yoshida Shinya S   Endo Masaki M   Tamiya Gen G   Kitano Hidemi H   Ueguchi-Tanaka Miyako M   Hirano Ko K   Matsuoka Makoto M  

Proceedings of the National Academy of Sciences of the United States of America 20190930 42


Elucidation of the genetic control of rice architecture is crucial due to the global demand for high crop yields. Rice architecture is a complex trait affected by plant height, tillering, and panicle morphology. In this study, principal component analysis (PCA) on 8 typical traits related to plant architecture revealed that the first principal component (PC), PC1, provided the most information on traits that determine rice architecture. A genome-wide association study (GWAS) using PC1 as a depen  ...[more]

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