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Molecular networking and pattern-based genome mining improves discovery of biosynthetic gene clusters and their products from Salinispora species

Lookup NU author(s): Dr Katherine DuncanORCiD

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Abstract

© 2015 Elsevier Ltd. All rights reserved. Genome sequencing has revealed that bacteria contain many more biosynthetic gene clusters than predicted based on the number of secondary metabolites discovered to date. While this biosynthetic reservoir has fostered interest in new tools for natural product discovery, there remains a gap between gene cluster detection and compound discovery. Here we apply molecular networking and the new concept of pattern-based genome mining to 35 Salinispora strains, including 30 for which draft genome sequences were either available or obtained for this study. The results provide a method to simultaneously compare large numbers of complex microbial extracts, which facilitated the identification of media components, known compounds and their derivatives, and new compounds that could be prioritized for structure elucidation. These efforts revealed considerable metabolite diversity and led to several molecular family-gene cluster pairings, of which the quinomycin-type depsipeptide retimycin A was characterized and linked to gene cluster NRPS40 using pattern-based bioinformatic approaches.


Publication metadata

Author(s): Duncan KR, Crusemann M, Lechner A, Sarkar A, Li J, Ziemert N, Wang M, Bandeira N, Moore BS, Dorrestein PC, Jensen PR

Publication type: Article

Publication status: Published

Journal: Chemistry and Biology

Year: 2015

Volume: 22

Issue: 4

Pages: 460-471

Print publication date: 23/04/2015

Online publication date: 09/04/2015

Acceptance date: 10/03/2015

ISSN (print): 1074-5521

Publisher: Elsevier Ltd

URL: https://doi.org/10.1016/j.chembiol.2015.03.010

DOI: 10.1016/j.chembiol.2015.03.010

PubMed id: 25865308


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