Nature Communications (May 2021)

Integrating genomics and metabolomics for scalable non-ribosomal peptide discovery

  • Bahar Behsaz,
  • Edna Bode,
  • Alexey Gurevich,
  • Yan-Ni Shi,
  • Florian Grundmann,
  • Deepa Acharya,
  • Andrés Mauricio Caraballo-Rodríguez,
  • Amina Bouslimani,
  • Morgan Panitchpakdi,
  • Annabell Linck,
  • Changhui Guan,
  • Julia Oh,
  • Pieter C. Dorrestein,
  • Helge B. Bode,
  • Pavel A. Pevzner,
  • Hosein Mohimani

DOI
https://doi.org/10.1038/s41467-021-23502-4
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 17

Abstract

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Current genome mining methods predict many putative non-ribosomal peptides (NRPs) from their corresponding biosynthetic gene clusters, but it remains unclear which of those exist in nature and how to identify their post-assembly modifications. Here, the authors develop NRPminer, a modification-tolerant tool for the discovery of NRPs from large genomic and mass spectrometry datasets, and use it to find 180 NRPs from different environments.