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构建粘细菌天然产物数据库以促进基于核磁共振的粘细菌代谢组学生物勘探

Constructing a Myxobacterial Natural Product Database to Facilitate NMR-Based Metabolomics Bioprospecting of Myxobacteria.

作者信息

Wang De-Gao, Wang Chao-Yi, Hu Jia-Qi, Wang Jing-Jing, Liu Wen-Chao, Zhang Wen-Juan, Du Xin-Ran, Wang Han, Zhu Le-Le, Sui Hai-Yan, Li Yue-Zhong, Wu Changsheng

机构信息

State Key Laboratory of Microbial Technology, Institute of Microbial Technology, Shandong University, Qingdao 266237, China.

出版信息

Anal Chem. 2023 Mar 28;95(12):5256-5266. doi: 10.1021/acs.analchem.2c05145. Epub 2023 Mar 14.

Abstract

Myxobacteria are fascinating prokaryotes featuring a potent capacity for producing a wealth of bioactive molecules with intricate chemical topology as well as intriguing enzymology, and thus it is critical to developing an efficient pipeline for bioprospecting. Herein, we construct the database MyxoDB, the first public compendium solely dedicated to myxobacteria, which enabled us to provide an overview of the structural diversity and taxonomic distribution of known myxobacterial natural products. Moreover, we demonstrated that the cutting-edge NMR-based metabolomics was effective to differentiate the biosynthetic priority of myxobacteria, whereby MyxoDB could greatly streamline the dereplication of multifarious known compounds and accordingly speed up the discovery of new compounds. This led to the rapid identification of a class of linear di-lipopeptides (archangimins) and a rare rearranged sterol (corasterol) that were endowed with unique chemical architectures and/or biosynthetic enzymology. We also showcased that NMR-based metabolomics, MyxoDB, and genomics can also work concertedly to accelerate the targeted discovery of a polyketidic compound pyxipyrrolone C. All in all, this study sets the stage for the discovery of many more novel natural products from underexplored myxobacterial resources.

摘要

黏细菌是一类迷人的原核生物,具有产生大量具有复杂化学拓扑结构和有趣酶学特性的生物活性分子的强大能力,因此开发一种高效的生物勘探流程至关重要。在此,我们构建了数据库MyxoDB,这是首个专门针对黏细菌的公共汇编数据库,它使我们能够概述已知黏细菌天然产物的结构多样性和分类分布。此外,我们证明了基于核磁共振的前沿代谢组学对于区分黏细菌的生物合成优先级是有效的,借此MyxoDB能够极大地简化各种已知化合物的去重复过程,并相应加快新化合物的发现。这导致快速鉴定出一类具有独特化学结构和/或生物合成酶学特性的线性二脂肽(archangimins)和一种罕见的重排甾醇(corasterol)。我们还展示了基于核磁共振的代谢组学、MyxoDB和基因组学也可以协同工作,以加速靶向发现聚酮化合物pyxipyrrolone C。总而言之,本研究为从未充分探索的黏细菌资源中发现更多新型天然产物奠定了基础。

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