Nerpa: A Tool for Discovering Biosynthetic Gene Clusters of Bacterial Nonribosomal Peptides
Abstract
Microbial natural products are a major source of bioactive compounds for drug discovery. Among these molecules, nonribosomal peptides (NRPs) represent a diverse class of natural products that include antibiotics, immunosuppressants, and anticancer agents. Recent breakthroughs in natural product discovery have revealed the chemical structure of several thousand NRPs. However, biosynthetic gene clusters (BGCs) encoding them are known only for a few hundred compounds. Here, we developed Nerpa, a computational method for the high-throughput discovery of novel BGCs responsible for producing known NRPs. After searching 13,399 representative bacterial genomes from the RefSeq repository against 8368 known NRPs, Nerpa linked 117 BGCs to their products. We further experimentally validated the predicted BGC of ngercheumicin from Photobacterium galatheae via mass spectrometry. Nerpa supports searching new genomes against thousands of known NRP structures, and novel molecular structures against tens of thousands of bacterial genomes. The availability of these tools can enhance our understanding of NRP synthesis and the function of their biosynthetic enzymes.
- Authors:
- Publication Date:
- Research Org.:
- Carnegie Mellon Univ., Pittsburgh, PA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC); Russian Foundation for Basic Research (RFBR); Alfred P. Sloan Foundation; National Institutes of Health (NIH); National Science Foundation (NSF); Gordon and Betty Moore Foundation
- OSTI Identifier:
- 1825143
- Alternate Identifier(s):
- OSTI ID: 1981161
- Grant/Contract Number:
- SC0021340; DP2GM137413; DBI2117640; GBMF7622; P41 GM103484; R01 GM107550; 1DP2GM137413-01
- Resource Type:
- Published Article
- Journal Name:
- Metabolites
- Additional Journal Information:
- Journal Name: Metabolites Journal Volume: 11 Journal Issue: 10; Journal ID: ISSN 2218-1989
- Publisher:
- MDPI AG
- Country of Publication:
- Switzerland
- Language:
- English
- Subject:
- 59 BASIC BIOLOGICAL SCIENCES; natural products; nonribosomal peptides; genome mining; biosynthetic gene clusters; bioinformatics; mass spectrometry; software; machine learning
Citation Formats
Kunyavskaya, Olga, Tagirdzhanov, Azat M., Caraballo-Rodríguez, Andrés Mauricio, Nothias, Louis-Félix, Dorrestein, Pieter C., Korobeynikov, Anton, Mohimani, Hosein, and Gurevich, Alexey. Nerpa: A Tool for Discovering Biosynthetic Gene Clusters of Bacterial Nonribosomal Peptides. Switzerland: N. p., 2021.
Web. doi:10.3390/metabo11100693.
Kunyavskaya, Olga, Tagirdzhanov, Azat M., Caraballo-Rodríguez, Andrés Mauricio, Nothias, Louis-Félix, Dorrestein, Pieter C., Korobeynikov, Anton, Mohimani, Hosein, & Gurevich, Alexey. Nerpa: A Tool for Discovering Biosynthetic Gene Clusters of Bacterial Nonribosomal Peptides. Switzerland. https://doi.org/10.3390/metabo11100693
Kunyavskaya, Olga, Tagirdzhanov, Azat M., Caraballo-Rodríguez, Andrés Mauricio, Nothias, Louis-Félix, Dorrestein, Pieter C., Korobeynikov, Anton, Mohimani, Hosein, and Gurevich, Alexey. Mon .
"Nerpa: A Tool for Discovering Biosynthetic Gene Clusters of Bacterial Nonribosomal Peptides". Switzerland. https://doi.org/10.3390/metabo11100693.
@article{osti_1825143,
title = {Nerpa: A Tool for Discovering Biosynthetic Gene Clusters of Bacterial Nonribosomal Peptides},
author = {Kunyavskaya, Olga and Tagirdzhanov, Azat M. and Caraballo-Rodríguez, Andrés Mauricio and Nothias, Louis-Félix and Dorrestein, Pieter C. and Korobeynikov, Anton and Mohimani, Hosein and Gurevich, Alexey},
abstractNote = {Microbial natural products are a major source of bioactive compounds for drug discovery. Among these molecules, nonribosomal peptides (NRPs) represent a diverse class of natural products that include antibiotics, immunosuppressants, and anticancer agents. Recent breakthroughs in natural product discovery have revealed the chemical structure of several thousand NRPs. However, biosynthetic gene clusters (BGCs) encoding them are known only for a few hundred compounds. Here, we developed Nerpa, a computational method for the high-throughput discovery of novel BGCs responsible for producing known NRPs. After searching 13,399 representative bacterial genomes from the RefSeq repository against 8368 known NRPs, Nerpa linked 117 BGCs to their products. We further experimentally validated the predicted BGC of ngercheumicin from Photobacterium galatheae via mass spectrometry. Nerpa supports searching new genomes against thousands of known NRP structures, and novel molecular structures against tens of thousands of bacterial genomes. The availability of these tools can enhance our understanding of NRP synthesis and the function of their biosynthetic enzymes.},
doi = {10.3390/metabo11100693},
journal = {Metabolites},
number = 10,
volume = 11,
place = {Switzerland},
year = {Mon Oct 11 00:00:00 EDT 2021},
month = {Mon Oct 11 00:00:00 EDT 2021}
}
https://doi.org/10.3390/metabo11100693
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