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Mining prokaryotes for antimicrobial compounds: from diversity to function
Author(s) -
Vittorio Tracanna,
Anne de Jong,
Marnix H. Medema,
Oscar P. Kuipers
Publication year - 2017
Publication title -
fems microbiology reviews
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.91
H-Index - 212
eISSN - 1574-6976
pISSN - 0168-6445
DOI - 10.1093/femsre/fux014
Subject(s) - computational biology , biology , identification (biology) , function (biology) , nonribosomal peptide , genome , antimicrobial , drug discovery , transcriptome , genomics , gene , bioinformatics , genetics , ecology , microbiology and biotechnology , gene expression , biosynthesis
The bacterial kingdom provides a major source of antimicrobials that can either be directly applied or used as scaffolds to further improve their functionality in the host. The rapidly increasing amount of bacterial genomic, metabolomic and transcriptomic data offers unique opportunities to apply a variety of approaches to mine for existing and novel antimicrobials. Here, we discuss several powerful mining approaches to identify novel molecules with antimicrobial activity across structurally diverse natural products, including ribosomally synthesized and posttranslationally modified peptides, nonribosomal peptides and polyketides. We not only discuss the direct mining of genomes based on identification of biosynthetic gene clusters, but also describe more advanced and integrative approaches in ecology-based mining, functionality-based mining and mode-of-action-based mining. These efforts are likely to accelerate the discovery and development of novel antimicrobial drugs.

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