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A lung-specific mutational signature enables inference of viral and bacterial respiratory niche
Exposure to different mutagens leaves distinct mutational patterns that can allow inference of pathogen replication niches. We therefore investigated whether SARS-CoV-2 mutational spectra might show lineage-specific differences, dependent on the dominant site(s) of replication and onwards transmissi...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Microbiology Society
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10272861/ https://www.ncbi.nlm.nih.gov/pubmed/37185044 http://dx.doi.org/10.1099/mgen.0.001018 |
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author | Ruis, Christopher Peacock, Thomas P. Polo, Luis M. Masone, Diego Alvarez, Maria Soledad Hinrichs, Angie S. Turakhia, Yatish Cheng, Ye McBroome, Jakob Corbett-Detig, Russell Parkhill, Julian Floto, R. Andres |
author_facet | Ruis, Christopher Peacock, Thomas P. Polo, Luis M. Masone, Diego Alvarez, Maria Soledad Hinrichs, Angie S. Turakhia, Yatish Cheng, Ye McBroome, Jakob Corbett-Detig, Russell Parkhill, Julian Floto, R. Andres |
author_sort | Ruis, Christopher |
collection | PubMed |
description | Exposure to different mutagens leaves distinct mutational patterns that can allow inference of pathogen replication niches. We therefore investigated whether SARS-CoV-2 mutational spectra might show lineage-specific differences, dependent on the dominant site(s) of replication and onwards transmission, and could therefore rapidly infer virulence of emergent variants of concern (VOCs). Through mutational spectrum analysis, we found a significant reduction in G>T mutations in the Omicron variant, which replicates in the upper respiratory tract (URT), compared to other lineages, which replicate in both the URT and lower respiratory tract (LRT). Mutational analysis of other viruses and bacteria indicates a robust, generalizable association of high G>T mutations with replication within the LRT. Monitoring G>T mutation rates over time, we found early separation of Omicron from Beta, Gamma and Delta, while mutational patterns in Alpha varied consistent with changes in transmission source as social restrictions were lifted. Mutational spectra may be a powerful tool to infer niches of established and emergent pathogens. |
format | Online Article Text |
id | pubmed-10272861 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Microbiology Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-102728612023-06-17 A lung-specific mutational signature enables inference of viral and bacterial respiratory niche Ruis, Christopher Peacock, Thomas P. Polo, Luis M. Masone, Diego Alvarez, Maria Soledad Hinrichs, Angie S. Turakhia, Yatish Cheng, Ye McBroome, Jakob Corbett-Detig, Russell Parkhill, Julian Floto, R. Andres Microb Genom Short Communications Exposure to different mutagens leaves distinct mutational patterns that can allow inference of pathogen replication niches. We therefore investigated whether SARS-CoV-2 mutational spectra might show lineage-specific differences, dependent on the dominant site(s) of replication and onwards transmission, and could therefore rapidly infer virulence of emergent variants of concern (VOCs). Through mutational spectrum analysis, we found a significant reduction in G>T mutations in the Omicron variant, which replicates in the upper respiratory tract (URT), compared to other lineages, which replicate in both the URT and lower respiratory tract (LRT). Mutational analysis of other viruses and bacteria indicates a robust, generalizable association of high G>T mutations with replication within the LRT. Monitoring G>T mutation rates over time, we found early separation of Omicron from Beta, Gamma and Delta, while mutational patterns in Alpha varied consistent with changes in transmission source as social restrictions were lifted. Mutational spectra may be a powerful tool to infer niches of established and emergent pathogens. Microbiology Society 2023-05-15 /pmc/articles/PMC10272861/ /pubmed/37185044 http://dx.doi.org/10.1099/mgen.0.001018 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License. This article was made open access via a Publish and Read agreement between the Microbiology Society and the corresponding author’s institution. |
spellingShingle | Short Communications Ruis, Christopher Peacock, Thomas P. Polo, Luis M. Masone, Diego Alvarez, Maria Soledad Hinrichs, Angie S. Turakhia, Yatish Cheng, Ye McBroome, Jakob Corbett-Detig, Russell Parkhill, Julian Floto, R. Andres A lung-specific mutational signature enables inference of viral and bacterial respiratory niche |
title | A lung-specific mutational signature enables inference of viral and bacterial respiratory niche |
title_full | A lung-specific mutational signature enables inference of viral and bacterial respiratory niche |
title_fullStr | A lung-specific mutational signature enables inference of viral and bacterial respiratory niche |
title_full_unstemmed | A lung-specific mutational signature enables inference of viral and bacterial respiratory niche |
title_short | A lung-specific mutational signature enables inference of viral and bacterial respiratory niche |
title_sort | lung-specific mutational signature enables inference of viral and bacterial respiratory niche |
topic | Short Communications |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10272861/ https://www.ncbi.nlm.nih.gov/pubmed/37185044 http://dx.doi.org/10.1099/mgen.0.001018 |
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