MetaMiner: A Scalable Peptidogenomics Approach for Discovery of Ribosomal Peptide Natural Products with Blind Modifications from Microbial Communities

Liu Cao, Alexey Gurevich, Kelsey L. Alexander, C. Benjamin Naman, Tiago Leão, Evgenia Glukhov, Tal Luzzatto-Knaan, Fernando Vargas, Robby Quinn, Amina Bouslimani, Louis Felix Nothias, Nitin K. Singh, Jon G. Sanders, Rodolfo A.S. Benitez, Luke R. Thompson, Md Nafiz Hamid, James T. Morton, Alla Mikheenko, Alexander Shlemov, Anton KorobeynikovIddo Friedberg, Rob Knight, Kasthuri Venkateswaran, William H. Gerwick, Lena Gerwick, Pieter C. Dorrestein, Pavel A. Pevzner, Hosein Mohimani

Research output: Contribution to journalArticlepeer-review

Abstract

We have developed an efficient method for discovering ribosomally synthesized and post-translationally modified peptides with unknown post-translational modifications from microbial communities through the database search of mass spectra against peptides predicted by genome or metagenome mining. Searching eight datasets collected from various environments—including human microbiome, marine cyanobacteria, and International Space Station—resulted in the discovery of seven unknown RiPPs.

Original languageEnglish
Pages (from-to)600-608.e4
JournalCell Systems
Volume9
Issue number6
DOIs
StatePublished - 18 Dec 2019
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2019 Elsevier Inc.

Keywords

  • computational mass spectrometry
  • metagenomics
  • microbial metabolites
  • natural products discovery
  • ribosomally synthesized and post-translationally modified peptides

ASJC Scopus subject areas

  • Pathology and Forensic Medicine
  • Cell Biology
  • Histology

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