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luxR Homolog-Linked Biosynthetic Gene Clusters in Proteobacteria
Microbes are a major source of antibiotics, pharmaceuticals, and other bioactive compounds. The production of many specialized microbial metabolites is encoded in biosynthetic gene clusters (BGCs). A challenge associated with natural product discovery is that many BGCs are not expressed under labora...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Microbiology
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5872303/ https://www.ncbi.nlm.nih.gov/pubmed/29600287 http://dx.doi.org/10.1128/mSystems.00208-17 |
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author | Brotherton, Carolyn A. Medema, Marnix H. Greenberg, E. Peter |
author_facet | Brotherton, Carolyn A. Medema, Marnix H. Greenberg, E. Peter |
author_sort | Brotherton, Carolyn A. |
collection | PubMed |
description | Microbes are a major source of antibiotics, pharmaceuticals, and other bioactive compounds. The production of many specialized microbial metabolites is encoded in biosynthetic gene clusters (BGCs). A challenge associated with natural product discovery is that many BGCs are not expressed under laboratory growth conditions. Here we report a genome-mining approach to discover BGCs with luxR-type quorum sensing (QS) genes, which code for regulatory proteins that control gene expression. Our results show that BGCs linked to genes coding for LuxR-like proteins are widespread in Proteobacteria. In addition, we show that associations between luxR homolog genes and BGCs have evolved independently many times, with functionally diverse gene clusters. Overall, these clusters may provide a source of new natural products for which there is some understanding about how to elicit production. IMPORTANCE Bacteria biosynthesize specialized metabolites with a variety of ecological functions, including defense against other microbes. Genes that code for specialized metabolite biosynthetic enzymes are frequently clustered together. These BGCs are often regulated by a transcription factor encoded within the cluster itself. These pathway-specific regulators respond to a signal or indirectly through other means of environmental sensing. Many specialized metabolites are not produced under laboratory growth conditions, and one reason for this issue is that laboratory growth media lack environmental cues necessary for BGC expression. Here, we report a bioinformatics study that reveals that BGCs are frequently linked to genes coding for LuxR family QS-responsive transcription factors in the phylum Proteobacteria. The products of these luxR homolog-associated gene clusters may serve as a practical source of bioactive metabolites. |
format | Online Article Text |
id | pubmed-5872303 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | American Society for Microbiology |
record_format | MEDLINE/PubMed |
spelling | pubmed-58723032018-03-29 luxR Homolog-Linked Biosynthetic Gene Clusters in Proteobacteria Brotherton, Carolyn A. Medema, Marnix H. Greenberg, E. Peter mSystems Research Article Microbes are a major source of antibiotics, pharmaceuticals, and other bioactive compounds. The production of many specialized microbial metabolites is encoded in biosynthetic gene clusters (BGCs). A challenge associated with natural product discovery is that many BGCs are not expressed under laboratory growth conditions. Here we report a genome-mining approach to discover BGCs with luxR-type quorum sensing (QS) genes, which code for regulatory proteins that control gene expression. Our results show that BGCs linked to genes coding for LuxR-like proteins are widespread in Proteobacteria. In addition, we show that associations between luxR homolog genes and BGCs have evolved independently many times, with functionally diverse gene clusters. Overall, these clusters may provide a source of new natural products for which there is some understanding about how to elicit production. IMPORTANCE Bacteria biosynthesize specialized metabolites with a variety of ecological functions, including defense against other microbes. Genes that code for specialized metabolite biosynthetic enzymes are frequently clustered together. These BGCs are often regulated by a transcription factor encoded within the cluster itself. These pathway-specific regulators respond to a signal or indirectly through other means of environmental sensing. Many specialized metabolites are not produced under laboratory growth conditions, and one reason for this issue is that laboratory growth media lack environmental cues necessary for BGC expression. Here, we report a bioinformatics study that reveals that BGCs are frequently linked to genes coding for LuxR family QS-responsive transcription factors in the phylum Proteobacteria. The products of these luxR homolog-associated gene clusters may serve as a practical source of bioactive metabolites. American Society for Microbiology 2018-03-27 /pmc/articles/PMC5872303/ /pubmed/29600287 http://dx.doi.org/10.1128/mSystems.00208-17 Text en Copyright © 2018 Brotherton et al. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Article Brotherton, Carolyn A. Medema, Marnix H. Greenberg, E. Peter luxR Homolog-Linked Biosynthetic Gene Clusters in Proteobacteria |
title | luxR Homolog-Linked Biosynthetic Gene Clusters in Proteobacteria |
title_full | luxR Homolog-Linked Biosynthetic Gene Clusters in Proteobacteria |
title_fullStr | luxR Homolog-Linked Biosynthetic Gene Clusters in Proteobacteria |
title_full_unstemmed | luxR Homolog-Linked Biosynthetic Gene Clusters in Proteobacteria |
title_short | luxR Homolog-Linked Biosynthetic Gene Clusters in Proteobacteria |
title_sort | luxr homolog-linked biosynthetic gene clusters in proteobacteria |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5872303/ https://www.ncbi.nlm.nih.gov/pubmed/29600287 http://dx.doi.org/10.1128/mSystems.00208-17 |
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