Mass spectral molecular networking of living microbial colonies

生物 同色链霉菌 脂肽 枯草芽孢杆菌 非核糖体肽 计算生物学 莎梵婷 微生物学 假单胞菌 代谢物分析 红球菌 代谢组 细菌 代谢物 生物化学 链霉菌 基因 生物合成 遗传学
作者
Jeramie D. Watrous,Patrick J. Roach,Theodore Alexandrov,Brandi S. Heath,Jiangping Yang,Roland D. Kersten,Menno vander Voort,Kit Pogliano,Harald Gross,Jos M. Raaijmakers,Bradley S. Moore,Julia Laskin,Nuno Bandeira,Pieter C. Dorrestein
出处
期刊:Proceedings of the National Academy of Sciences of the United States of America [Proceedings of the National Academy of Sciences]
卷期号:109 (26) 被引量:748
标识
DOI:10.1073/pnas.1203689109
摘要

Integrating the governing chemistry with the genomics and phenotypes of microbial colonies has been a "holy grail" in microbiology. This work describes a highly sensitive, broadly applicable, and cost-effective approach that allows metabolic profiling of live microbial colonies directly from a Petri dish without any sample preparation. Nanospray desorption electrospray ionization mass spectrometry (MS), combined with alignment of MS data and molecular networking, enabled monitoring of metabolite production from live microbial colonies from diverse bacterial genera, including Bacillus subtilis, Streptomyces coelicolor, Mycobacterium smegmatis, and Pseudomonas aeruginosa. This work demonstrates that, by using these tools to visualize small molecular changes within bacterial interactions, insights can be gained into bacterial developmental processes as a result of the improved organization of MS/MS data. To validate this experimental platform, metabolic profiling was performed on Pseudomonas sp. SH-C52, which protects sugar beet plants from infections by specific soil-borne fungi [R. Mendes et al. (2011) Science 332:1097-1100]. The antifungal effect of strain SH-C52 was attributed to thanamycin, a predicted lipopeptide encoded by a nonribosomal peptide synthetase gene cluster. Our technology, in combination with our recently developed peptidogenomics strategy, enabled the detection and partial characterization of thanamycin and showed that it is a monochlorinated lipopeptide that belongs to the syringomycin family of antifungal agents. In conclusion, the platform presented here provides a significant advancement in our ability to understand the spatiotemporal dynamics of metabolite production in live microbial colonies and communities.
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