Genetic analysis of the metabolome exemplified using a rice population
Genetic analysis of the metabolome exemplified using a rice population
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DOI：
10.1073/pnas.1319681110
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发表时间：
2013-12-10
影响因子：
11.1
通讯作者：
Luo, Jie
中科院分区：
文献类型：
--
作者：
Gong, Liang;Chen, Wei;Luo, Jie
植物代谢物对植物生命和人类营养都至关重要。尽管近年来在代谢组学方面取得了很大进展，但植物代谢组学的遗传控制仍是未知的。在这里，我们对水稻代谢组进行了遗传分析，为900种代谢物提供了2,800多个高分辨率的代谢数量性状位点。不同的和重叠的积累模式的代谢物，观察和复杂的遗传调控的代谢在两个不同的组织。通过数据挖掘，我们将24个候选基因与各种代谢数量性状位点相关联，包括调节重要形态性状和生物学过程的基因。通过更新先前识别和新分配的基因的体内功能来重建相应的途径。该研究为理解植物代谢组的可塑性提供了强有力的工具和大量高质量的数据，有助于弥合基因组和表型组之间的差距。
Plant metabolites are crucial for both plant life and human nutrition. Despite recent advance in metabolomics, the genetic control of plant metabolome remains largely unknown. Here, we performed a genetic analysis of the rice metabolome that provided over 2,800 highly resolved metabolic quantitative trait loci for 900 metabolites. Distinct and overlapping accumulation patterns of metabolites were observed and complex genetic regulation of metabolism was revealed in two different tissues. We associated 24 candidate genes to various metabolic quantitative trait loci by data mining, including ones regulating important morphological traits and biological processes. The corresponding pathways were reconstructed by updating in vivo functions of previously identified and newly assigned genes. This study demonstrated a powerful tool and provided a vast amount of high-quality data for understanding the plasticity of plant metabolome, which may help bridge the gap between the genome and phenome.