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

被引:42
作者
Shang, Yi [1 ]
Huang, Sanwen [2 ,3 ]
机构
[1] Yunnan Normal Univ, CAAS YNNU YINMORE Joint Acad Potato Sci, Kunming 650500, Yunnan, Peoples R China
[2] Chinese Acad Agr Sci, Agr Genom Inst Shenzhen, Minist Agr, Genome Anal Lab, Shenzhen 518124, Peoples R China
[3] Chinese Acad Agr Sci, Sino Dutch Joint Lab Hort Gen, Inst Vegetables & Flowers,Minist Agr, Key Lab Biol & Genet Improvement Hort Crops, Beijing 100084, Peoples R China
基金
中国国家自然科学基金;
关键词
multi-omics; diversity; gene cluster; metabolism; triterpenoid; BETA-AMYRIN; GENE CLUSTERS; CYCLOARTENOL SYNTHASE; LANOSTEROL SYNTHASE; COMBINATORIAL BIOSYNTHESIS; GINSENOSIDE BIOSYNTHESIS; FUNCTIONAL EXPRESSION; SAPONIN BIOSYNTHESIS; CYTOCHROME-P450; IDENTIFICATION;
D O I
10.1111/tpj.14132
中图分类号
Q94 [植物学];
学科分类号
071001 ;
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 have greatly 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 of metabolic 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.
引用
收藏
页码:101 / 111
页数:11
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