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SE Authors Fumio Matsuda, Ryo Nakabayashi, Zhigang Yang, Yozo Okazaki, Jun-ichi Yonemaru, Kaworu Ebana, Masahiro Yano, Kazuki Saito
SE Description genome-wide association studies (GWAS) wer genome-wide association studies (GWAS) were conducted to investigate the genetic architecture behind the natural variation of rice secondary metabolites. GWAS using the metabolome data of 175 rice accessions successfully identified 323 associations among 143 single nucleotide polymorphisms (SNPs) and 89 metabolites. The data analysis highlighted that levels of many metabolites are tightly associated with a small number of strong quantitative trait loci (QTLs). The tight association may be a mechanism generating strains with distinct metabolic composition through the crossing of two different strains. The results indicate that one plant species produces more diverse phytochemicals than previously expected, and plants still contain many useful compounds for human applications. y useful compounds for human applications.
SE ID SE60  +
SE Reference Matsuda F et al. (2014) The Plant Journal Jan;81(1):13-23
SE Title Metabolome-genome-wide association study dissects genetic architecture for generating natural variation in rice secondary metabolism  +
Modification dateThis property is a special property in this wiki. 23 April 2018 08:12:45  +
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