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Mutational spectra are associated with bacterial niche
As observed in cancers, individual mutagens and defects in DNA repair create distinctive mutational signatures that combine to form context-specific spectra within cells. We reasoned that similar processes must occur in bacterial lineages, potentially allowing decomposition analysis to detect both d...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10625568/ https://www.ncbi.nlm.nih.gov/pubmed/37925514 http://dx.doi.org/10.1038/s41467-023-42916-w |
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author | Ruis, Christopher Weimann, Aaron Tonkin-Hill, Gerry Pandurangan, Arun Prasad Matuszewska, Marta Murray, Gemma G. R. Lévesque, Roger C. Blundell, Tom L. Floto, R. Andres Parkhill, Julian |
author_facet | Ruis, Christopher Weimann, Aaron Tonkin-Hill, Gerry Pandurangan, Arun Prasad Matuszewska, Marta Murray, Gemma G. R. Lévesque, Roger C. Blundell, Tom L. Floto, R. Andres Parkhill, Julian |
author_sort | Ruis, Christopher |
collection | PubMed |
description | As observed in cancers, individual mutagens and defects in DNA repair create distinctive mutational signatures that combine to form context-specific spectra within cells. We reasoned that similar processes must occur in bacterial lineages, potentially allowing decomposition analysis to detect both disruption of DNA repair processes and exposure to niche-specific mutagens. Here we reconstruct mutational spectra for 84 clades from 31 diverse bacterial species and find distinct mutational patterns. We extract signatures driven by specific DNA repair defects using hypermutator lineages, and further deconvolute the spectra into multiple signatures operating within different clades. We show that these signatures are explained by both bacterial phylogeny and replication niche. By comparing mutational spectra of clades from different environmental and biological locations, we identify niche-associated mutational signatures, and then employ these signatures to infer the predominant replication niches for several clades where this was previously obscure. Our results show that mutational spectra may be associated with sites of bacterial replication when mutagen exposures differ, and can be used in these cases to infer transmission routes for established and emergent human bacterial pathogens. |
format | Online Article Text |
id | pubmed-10625568 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106255682023-11-06 Mutational spectra are associated with bacterial niche Ruis, Christopher Weimann, Aaron Tonkin-Hill, Gerry Pandurangan, Arun Prasad Matuszewska, Marta Murray, Gemma G. R. Lévesque, Roger C. Blundell, Tom L. Floto, R. Andres Parkhill, Julian Nat Commun Article As observed in cancers, individual mutagens and defects in DNA repair create distinctive mutational signatures that combine to form context-specific spectra within cells. We reasoned that similar processes must occur in bacterial lineages, potentially allowing decomposition analysis to detect both disruption of DNA repair processes and exposure to niche-specific mutagens. Here we reconstruct mutational spectra for 84 clades from 31 diverse bacterial species and find distinct mutational patterns. We extract signatures driven by specific DNA repair defects using hypermutator lineages, and further deconvolute the spectra into multiple signatures operating within different clades. We show that these signatures are explained by both bacterial phylogeny and replication niche. By comparing mutational spectra of clades from different environmental and biological locations, we identify niche-associated mutational signatures, and then employ these signatures to infer the predominant replication niches for several clades where this was previously obscure. Our results show that mutational spectra may be associated with sites of bacterial replication when mutagen exposures differ, and can be used in these cases to infer transmission routes for established and emergent human bacterial pathogens. Nature Publishing Group UK 2023-11-04 /pmc/articles/PMC10625568/ /pubmed/37925514 http://dx.doi.org/10.1038/s41467-023-42916-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Ruis, Christopher Weimann, Aaron Tonkin-Hill, Gerry Pandurangan, Arun Prasad Matuszewska, Marta Murray, Gemma G. R. Lévesque, Roger C. Blundell, Tom L. Floto, R. Andres Parkhill, Julian Mutational spectra are associated with bacterial niche |
title | Mutational spectra are associated with bacterial niche |
title_full | Mutational spectra are associated with bacterial niche |
title_fullStr | Mutational spectra are associated with bacterial niche |
title_full_unstemmed | Mutational spectra are associated with bacterial niche |
title_short | Mutational spectra are associated with bacterial niche |
title_sort | mutational spectra are associated with bacterial niche |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10625568/ https://www.ncbi.nlm.nih.gov/pubmed/37925514 http://dx.doi.org/10.1038/s41467-023-42916-w |
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