Suppr超能文献

通过枯草芽孢杆菌与土曲霉的微生物共培养来诱导土曲霉产生次级代谢产物。

Inducing secondary metabolite production of Aspergillus sydowii through microbial co-culture with Bacillus subtilis.

机构信息

School of Bioengineering, Dalian University of Technology, DalianLiaoning, 116024, China.

Shandong New Time Pharmaceutical Co., Ltd, Shandong, 255000, China.

出版信息

Microb Cell Fact. 2021 Feb 12;20(1):42. doi: 10.1186/s12934-021-01527-0.

Abstract

BACKGROUND

The co-culture strategy which mimics natural ecology by constructing an artificial microbial community is a useful tool to activate the biosynthetic gene clusters to generate new metabolites. However, the conventional method to study the co-culture is to isolate and purify compounds separated by HPLC, which is inefficient and time-consuming. Furthermore, the overall changes in the metabolite profile cannot be well characterized.

RESULTS

A new approach which integrates computational programs, MS-DIAL, MS-FINDER and web-based tools including GNPS and MetaboAnalyst, was developed to analyze and identify the metabolites of the co-culture of Aspergillus sydowii and Bacillus subtilis. A total of 25 newly biosynthesized metabolites were detected only in co-culture. The structures of the newly synthesized metabolites were elucidated, four of which were identified as novel compounds by the new approach. The accuracy of the new approach was confirmed by purification and NMR data analysis of 7 newly biosynthesized metabolites. The bioassay of newly synthesized metabolites showed that four of the compounds exhibited different degrees of PTP1b inhibitory activity, and compound N2 had the strongest inhibition activity with an IC value of 7.967 μM.

CONCLUSIONS

Co-culture led to global changes of the metabolite profile and is an effective way to induce the biosynthesis of novel natural products. The new approach in this study is one of the effective and relatively accurate methods to characterize the changes of metabolite profiles and to identify novel compounds in co-culture systems.

摘要

背景

通过构建人工微生物群落来模拟自然生态的共培养策略是一种激活生物合成基因簇以产生新代谢物的有用工具。然而,传统的共培养研究方法是通过 HPLC 分离和纯化化合物,这种方法既低效又耗时。此外,代谢物谱的整体变化也无法很好地描述。

结果

本文开发了一种新的方法,该方法集成了计算程序、MS-DIAL、MS-FINDER 和基于网络的工具,包括 GNPS 和 MetaboAnalyst,用于分析和鉴定 Aspergillus sydowii 和 Bacillus subtilis 共培养物的代谢物。在共培养中仅检测到 25 种新生物合成的代谢物。通过新方法阐明了新合成代谢物的结构,其中 4 种被鉴定为新化合物。通过对 7 种新生物合成代谢物的纯化和 NMR 数据分析,验证了新方法的准确性。新合成代谢物的生物测定表明,其中 4 种化合物表现出不同程度的 PTP1b 抑制活性,化合物 N2 具有最强的抑制活性,IC 值为 7.967 μM。

结论

共培养导致代谢物谱的全局变化,是诱导新型天然产物生物合成的有效方法。本研究中的新方法是一种有效且相对准确的方法,可用于描述共培养系统中代谢物谱的变化并鉴定新化合物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f13f/7881642/5865321f8cac/12934_2021_1527_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验