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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2020.1
- 수록면
- 417 - 424 (8page)
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초록· 키워드
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In this study, we attempted to identify candidate single-nucleotide polymorphisms (SNPs) corresponding to agronomic traits via a genome-wide association study (GWAS) using principal component analysis (PCA). We confirmed the normally distributed traits in each PC, suggesting that the PCs were suitable for GWAS. We found 2,527,855 SNPs and 381,681 indels among 26 rice varieties. The PC1 was showed 22 significant missense SNPs associated with three traits (leaf blight disease, rice stripe disease, and gains per panicle). Especially, three of 22 missense SNPs had the highest significance in GWAS for each trait. The 06g0587200 gene associated with gain per panicle belongs to two QTLs: qtl1-5 corresponding to the length and width of grains and Tgw6.1 corresponding to the thousand-grain weight. The two candidate genes (Os01g0858000 implicated in rice stripe disease and Os03g0165000 implicated in leaf blight disease) were newly detected in this study. However, further studies are required to confirm the exact function of these two genes. Thus, GWAS based on PCA can be used to find a key gene corresponding to various traits.
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참고문헌 (17)
참고문헌 신청
Ayana, G. T. / 2018 / Genome-wide association study for spot blotch resistance in hard winter wheat / Front Plant Sci 9:926
Bush, W. S. / 2012 / Chapter 11 : Genome-Wide Association Studies / PLoS Comput Biol 8:e1002822
Cubry, P. / 2020 / Genome wide association study pinpoints key agronomic QTLs in African rice Oryza glaberrima / Rice 7:897298
Daovongdeuan, S. / 2017 / Genome-wide association study for seed size and color in mungbean (Vigna radiata (L.) Wilczek) / The Korean Society of Crop Science :274~274
Gao, H. / 2014 / Multiple-trait genome-wide association study based on principal component analysis for residual covariance matrix / Heredity 113:526~532
Bush, W. S. / 2012 / Chapter 11 : Genome-Wide Association Studies / PLoS Comput Biol 8:e1002822
Cubry, P. / 2020 / Genome wide association study pinpoints key agronomic QTLs in African rice Oryza glaberrima / Rice 7:897298
Daovongdeuan, S. / 2017 / Genome-wide association study for seed size and color in mungbean (Vigna radiata (L.) Wilczek) / The Korean Society of Crop Science :274~274
Gao, H. / 2014 / Multiple-trait genome-wide association study based on principal component analysis for residual covariance matrix / Heredity 113:526~532
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