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Multi‐omics data‐driven investigations of metabolic diversity of plant triterpenoids

机译:多组学数据驱动的调查等代谢常用药用植物的多样性

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摘要

The vast majority of structurally diverse metabolites play essential roles in mediating the interactions between plant and environment, and constitute a valuable resource for industrial applications. Recent breakthroughs in sequencing technology havegreatly accelerated metabolic studies of natural plant products, providing opportunities to investigate the molecular basis underlying the diversity of specialized plant metabolites through large‐scale analysis. Here, we focus on the biosynthesis of plant triterpenoids, especially the three diversifying reactions (cyclization, oxidation and glycosylation) that largely contribute to the structural diversity of triterpenoids. Gene mining through large‐scale omics data and functional characterization ofmetabolic genes including enzymes, transcription factors and transporters could provide important insights into the evolution of specialized plant metabolism and pave the way for the production of high‐value metabolites or derivatives using synthetic biology approaches.
机译:绝大多数的结构不同代谢调节中发挥重要作用植物与环境之间的相互作用,以及构成工业的宝贵的资源应用程序。技术havegreatly加速新陈代谢研究天然植物产品,提供机会调查分子基础潜在的特殊植物的多样性通过大尺度分析应承担的代谢物。我们专注于植物的生物合成常用药用,特别是三个多元化(环合、氧化和反应糖基化),主要贡献结构常用药用的多样性。通过大型规模的组学数据和挖掘功能描述ofmetabolic基因包括酶、转录因子和转运蛋白能提供重要的见解进化的专业工厂新陈代谢,为生产铺平道路高价值的代谢产物或衍生品使用合成生物学方法。

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