Combining NMR-Based Metabolic Profiling and Genome Mining for the Accelerated Discovery of Archangiumide, an Allenic Macrolide from the Myxobacterium Archangium violaceum SDU8

被引：18

作者：

Hu, Jia-Qi ^{[1
]}

Wang, Jing-Jing ^{[1
]}

Li, Yue-Lan ^{[1
]}

Zhuo, Li ^{[1
]}

Zhang, Ai ^{[2
]}

Sui, Hai-Yan ^{[1
]}

Li, Xiao-Ju ^{[1
]}

Shen, Tao ^{[3
]}

Yin, Yizhen ^{[1
]}

Wu, Zhi-Hong ^{[1
]}

Hu, Wei ^{[1
]}

Li, Yue-Zhong ^{[1
]}

Wu, Changsheng ^{[1
]}

机构：

[1] Shandong Univ, Inst Microbial Technol, State Key Lab Microbial Technol, Qingdao 266237, Peoples R China

[2] Qingdao Univ, Qingdao Women & Childrens Hosp, Fetal Med Ctr, Qingdao 266071, Peoples R China

[3] Shandong Univ, Sch Pharmaceut Sci, Key Lab Chem Biol MOE, Jinan 250100, Peoples R China

来源：

ORGANIC LETTERS | 2021年 / 23卷 / 06期

基金：

中国国家自然科学基金;

关键词：

D O I：

10.1021/acs.orglett.1c00265

中图分类号：

O62 [有机化学];

学科分类号：

070303 ; 081704 ;

摘要：

An unprecedented 19-membered allenic macrolide archangiumide (1) was discovered from the myxobacterium Archangium violaceum SDU8 by integrating NMR-based metabolic profiling and genome mining. Its biosynthesis pathway was proposed based on the architectural analysis of the encoding trans-AT PKS genes and validated by isotope labeling. The methodology of combing 2D NMR-based metabolic profiling and bioinformatics-aided structure prediction, as exemplified by this study, is anticipated to improve discovery efficiency of a broader range of microbial "dark matter".

引用

页码：2114 / 2119

页数：6

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