Metabolic GWAS‐based dissection of genetic bases underlying the diversity of plant metabolism

全基因组关联研究 遗传多样性 生物 计算生物学 鉴定(生物学) 遗传关联 多样性(政治) 植物代谢 基因组 代谢组 人口 关联映射 进化生物学 遗传学 生物技术 生物信息学 代谢组学 生态学 单核苷酸多态性 医学 基因 基因型 社会学 环境卫生 人类学 核糖核酸
作者
Chuanying Fang,Jie Luo
出处
期刊:Plant Journal [Wiley]
卷期号:97 (1): 91-100 被引量:154
标识
DOI:10.1111/tpj.14097
摘要

Summary Plants have served as sources providing humans with metabolites for food and nutrition, biomaterials for living, and treatment for pain and disease. Plants produce a huge array of metabolites, with an immense diversity at both the population and individual levels. Dissection of the genetic bases for metabolic diversity has attracted increasing research attention. The concept of genome‐wide association study ( GWAS ) was extended to studies on the diversity of plant metabolome that benefitted from the development of mass‐spectrometry‐based analytical systems and genome sequencing technologies. Metabolic genome‐wide association study ( mGWAS ) is one of the most powerful tools for global identification of genetic determinants for diversity of plant metabolism. Recently, mGWAS has been performed for various species with continuous improvements, providing deeper insights into the genetic bases of metabolic diversity. In this review, we discuss fully the achievements to date and remaining challenges that are associated with both mGWAS and mGWAS ‐based multi‐dimensional analysis. We begin with a summary of GWAS and its development based on statistical methods and populations. As variation in targeted traits is essential for GWAS , we review metabolic diversity and its rise at both the population and individual levels. Subsequently, the application of mGWAS for plants and its corresponding achievements are fully discussed. We address the current knowledge on mGWAS ‐based multi‐dimensional analysis and emerging insights into the diversity of metabolism.
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