July 31, 2014
Journal Article

Automated genome mining of ribosomal peptide natural products

Abstract

Ribosomally synthesized and posttranslationally modified peptides (RiPPs), especially from microbial sources, are a large group of bioactive natural products that are a promising source of new (bio)chemistry and bioactivity (1). In light of exponentially increasing microbial genome databases and improved mass spectrometry (MS)-based metabolomic platforms, there is a need for computational tools that connect natural product genotypes predicted from microbial genome sequences with their corresponding chemotypes from metabolomic datasets. Here, we introduce RiPPquest, a tandem mass spectrometry database search tool for identification of microbial RiPPs and apply it for lanthipeptide discovery. RiPPquest uses genomics to limit search space to the vicinity of RiPP biosynthetic genes and proteomics to analyze extensive peptide modifications and compute p-values of peptide-spectrum matches (PSMs). We highlight RiPPquest by connection of multiple RiPPs from extracts of Streptomyces to their gene clusters and by the discovery of a new class III lanthipeptide, informatipeptin, from Streptomyces viridochromogenes DSM 40736 as the first natural product to be identified in an automated fashion by genome mining. The presented tool is available at cy-clo.ucsd.edu.

Revised: February 18, 2015 | Published: July 31, 2014

Citation

Mohimani H., R. Kersten, W. Liu, M. Wang, S.O. Purvine, S. Wu, and H.M. Brewer, et al. 2014. Automated genome mining of ribosomal peptide natural products. ACS Chemical Biology 9, no. 7:1545-1551. PNNL-SA-99212. doi:10.1021/cb500199h