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Severe infections emerge from commensal bacteria by adaptive evolution

Bacteria responsible for the greatest global mortality colonize the human microbiota far more frequently than they cause severe infections. Whether mutation and selection among commensal bacteria are associated with infection is unknown. We investigated de novo mutation in 1163 Staphylococcus aureus...

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Autores principales: Young, Bernadette C, Wu, Chieh-Hsi, Gordon, N Claire, Cole, Kevin, Price, James R, Liu, Elian, Sheppard, Anna E, Perera, Sanuki, Charlesworth, Jane, Golubchik, Tanya, Iqbal, Zamin, Bowden, Rory, Massey, Ruth C, Paul, John, Crook, Derrick W, Peto, Timothy E, Walker, A Sarah, Llewelyn, Martin J, Wyllie, David H, Wilson, Daniel J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5736351/
https://www.ncbi.nlm.nih.gov/pubmed/29256859
http://dx.doi.org/10.7554/eLife.30637
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author Young, Bernadette C
Wu, Chieh-Hsi
Gordon, N Claire
Cole, Kevin
Price, James R
Liu, Elian
Sheppard, Anna E
Perera, Sanuki
Charlesworth, Jane
Golubchik, Tanya
Iqbal, Zamin
Bowden, Rory
Massey, Ruth C
Paul, John
Crook, Derrick W
Peto, Timothy E
Walker, A Sarah
Llewelyn, Martin J
Wyllie, David H
Wilson, Daniel J
author_facet Young, Bernadette C
Wu, Chieh-Hsi
Gordon, N Claire
Cole, Kevin
Price, James R
Liu, Elian
Sheppard, Anna E
Perera, Sanuki
Charlesworth, Jane
Golubchik, Tanya
Iqbal, Zamin
Bowden, Rory
Massey, Ruth C
Paul, John
Crook, Derrick W
Peto, Timothy E
Walker, A Sarah
Llewelyn, Martin J
Wyllie, David H
Wilson, Daniel J
author_sort Young, Bernadette C
collection PubMed
description Bacteria responsible for the greatest global mortality colonize the human microbiota far more frequently than they cause severe infections. Whether mutation and selection among commensal bacteria are associated with infection is unknown. We investigated de novo mutation in 1163 Staphylococcus aureus genomes from 105 infected patients with nose colonization. We report that 72% of infections emerged from the nose, with infecting and nose-colonizing bacteria showing parallel adaptive differences. We found 2.8-to-3.6-fold adaptive enrichments of protein-altering variants in genes responding to rsp, which regulates surface antigens and toxin production; agr, which regulates quorum-sensing, toxin production and abscess formation; and host-derived antimicrobial peptides. Adaptive mutations in pathogenesis-associated genes were 3.1-fold enriched in infecting but not nose-colonizing bacteria. None of these signatures were observed in healthy carriers nor at the species-level, suggesting infection-associated, short-term, within-host selection pressures. Our results show that signatures of spontaneous adaptive evolution are specifically associated with infection, raising new possibilities for diagnosis and treatment.
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spelling pubmed-57363512017-12-21 Severe infections emerge from commensal bacteria by adaptive evolution Young, Bernadette C Wu, Chieh-Hsi Gordon, N Claire Cole, Kevin Price, James R Liu, Elian Sheppard, Anna E Perera, Sanuki Charlesworth, Jane Golubchik, Tanya Iqbal, Zamin Bowden, Rory Massey, Ruth C Paul, John Crook, Derrick W Peto, Timothy E Walker, A Sarah Llewelyn, Martin J Wyllie, David H Wilson, Daniel J eLife Microbiology and Infectious Disease Bacteria responsible for the greatest global mortality colonize the human microbiota far more frequently than they cause severe infections. Whether mutation and selection among commensal bacteria are associated with infection is unknown. We investigated de novo mutation in 1163 Staphylococcus aureus genomes from 105 infected patients with nose colonization. We report that 72% of infections emerged from the nose, with infecting and nose-colonizing bacteria showing parallel adaptive differences. We found 2.8-to-3.6-fold adaptive enrichments of protein-altering variants in genes responding to rsp, which regulates surface antigens and toxin production; agr, which regulates quorum-sensing, toxin production and abscess formation; and host-derived antimicrobial peptides. Adaptive mutations in pathogenesis-associated genes were 3.1-fold enriched in infecting but not nose-colonizing bacteria. None of these signatures were observed in healthy carriers nor at the species-level, suggesting infection-associated, short-term, within-host selection pressures. Our results show that signatures of spontaneous adaptive evolution are specifically associated with infection, raising new possibilities for diagnosis and treatment. eLife Sciences Publications, Ltd 2017-12-19 /pmc/articles/PMC5736351/ /pubmed/29256859 http://dx.doi.org/10.7554/eLife.30637 Text en © 2017, Young et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Microbiology and Infectious Disease
Young, Bernadette C
Wu, Chieh-Hsi
Gordon, N Claire
Cole, Kevin
Price, James R
Liu, Elian
Sheppard, Anna E
Perera, Sanuki
Charlesworth, Jane
Golubchik, Tanya
Iqbal, Zamin
Bowden, Rory
Massey, Ruth C
Paul, John
Crook, Derrick W
Peto, Timothy E
Walker, A Sarah
Llewelyn, Martin J
Wyllie, David H
Wilson, Daniel J
Severe infections emerge from commensal bacteria by adaptive evolution
title Severe infections emerge from commensal bacteria by adaptive evolution
title_full Severe infections emerge from commensal bacteria by adaptive evolution
title_fullStr Severe infections emerge from commensal bacteria by adaptive evolution
title_full_unstemmed Severe infections emerge from commensal bacteria by adaptive evolution
title_short Severe infections emerge from commensal bacteria by adaptive evolution
title_sort severe infections emerge from commensal bacteria by adaptive evolution
topic Microbiology and Infectious Disease
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5736351/
https://www.ncbi.nlm.nih.gov/pubmed/29256859
http://dx.doi.org/10.7554/eLife.30637
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