Metabolome-genome-wide association study dissects genetic architecture for generating natural variation in rice secondary metabolism.
Metabolome-genome-wide association study dissects genetic architecture for generating natural variation in rice secondary metabolism.
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DOI：
10.1111/tpj.12681
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发表时间：
2015-01
期刊：
影响因子：
--
通讯作者：
Saito K
中科院分区：
文献类型：
--
作者：
Matsuda F;Nakabayashi R;Yang Z;Okazaki Y;Yonemaru J;Ebana K;Yano M;Saito K
植物产生结构多样的次生（专门）代谢物，以提高其在不利环境下生存的适应性。通过筛选植物提取物，已鉴定出几种新药的生物活性化合物。在这项研究中，进行了全基因组关联研究（GWAS）来研究水稻次生代谢物自然变异背后的遗传结构。 GWAS 使用 175 个水稻品种的代谢组数据成功鉴定了 143 个单核苷酸多态性 (SNP) 和 89 个代谢物之间的 323 个关联。数据分析强调，许多代谢物的水平与少数强数量性状基因座（QTL）密切相关。这种紧密关联可能是通过两种不同菌株的杂交产生具有不同代谢组成的菌株的机制。结果表明，一种植物产生的植物化学物质比之前预期的更加多样化，并且植物仍然含有许多对人类有用的化合物。
Plants produce structurally diverse secondary (specialized) metabolites to increase their fitness for survival under adverse environments. Several bioactive compounds for new drugs have been identified through screening of plant extracts. In this study, 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.
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