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

AI Article Synopsis

  • * Principal component analysis (PCA) was used to analyze eight key traits of rice architecture, revealing that the first component was crucial for identifying traits related to plant structure.
  • * A genome-wide association study (GWAS) identified the SPINDLY (OsSPY) gene, linked to growth regulation through gibberellin signaling, which has implications for rice breeding towards characteristics like semidwarfism.

Article 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 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6800328PMC
http://dx.doi.org/10.1073/pnas.1904964116DOI Listing

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