Extreme trait GWAS (Et-GWAS): Unraveling rare variants in the 3,000 rice genome.

ABSTRACT: Identifying high-impact, rare genetic variants associated with specific traits is crucial for crop improvement. The 3,010 rice genome (3K RG) dataset offers a valuable resource for discovering genomic regions with potential applications in crop breeding. We used Extreme Trait GWAS (Et-GWAS), employing bulk pooling and allele frequency measurement to efficiently extract rare variants from the 3K RG. This innovative approach facilitates the detection of associations between genetic variants and target traits, concentrating and quantifying rare alleles. In our study, on grain yield under drought stress, Et-GWAS successfully identified five key genes (OsPP2C11, OsK5.2, OsIRO2, OsPEX1, and OsPWA1) known for enhancing yield under drought. In addition, we examin

SUBMITTER: Gnanapragasam N 

PROVIDER: S-EPMC10751245 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature