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Parallel evolution of influenza across multiple spatiotemporal scales

Viral variants that arise in the global influenza population begin as de novo mutations in single infected hosts, but the evolutionary dynamics that transform within-host variation to global genetic diversity are poorly understood. Here, we demonstrate that influenza evolution within infected humans...

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Autores principales: Xue, Katherine S, Stevens-Ayers, Terry, Campbell, Angela P, Englund, Janet A, Pergam, Steven A, Boeckh, Michael, Bloom, Jesse D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5487208/
https://www.ncbi.nlm.nih.gov/pubmed/28653624
http://dx.doi.org/10.7554/eLife.26875
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author Xue, Katherine S
Stevens-Ayers, Terry
Campbell, Angela P
Englund, Janet A
Pergam, Steven A
Boeckh, Michael
Bloom, Jesse D
author_facet Xue, Katherine S
Stevens-Ayers, Terry
Campbell, Angela P
Englund, Janet A
Pergam, Steven A
Boeckh, Michael
Bloom, Jesse D
author_sort Xue, Katherine S
collection PubMed
description Viral variants that arise in the global influenza population begin as de novo mutations in single infected hosts, but the evolutionary dynamics that transform within-host variation to global genetic diversity are poorly understood. Here, we demonstrate that influenza evolution within infected humans recapitulates many evolutionary dynamics observed at the global scale. We deep-sequence longitudinal samples from four immunocompromised patients with long-term H3N2 influenza infections. We find parallel evolution across three scales: within individual patients, in different patients in our study, and in the global influenza population. In hemagglutinin, a small set of mutations arises independently in multiple patients. These same mutations emerge repeatedly within single patients and compete with one another, providing a vivid clinical example of clonal interference. Many of these recurrent within-host mutations also reach a high global frequency in the decade following the patient infections. Our results demonstrate surprising concordance in evolutionary dynamics across multiple spatiotemporal scales. DOI: http://dx.doi.org/10.7554/eLife.26875.001
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spelling pubmed-54872082017-07-18 Parallel evolution of influenza across multiple spatiotemporal scales Xue, Katherine S Stevens-Ayers, Terry Campbell, Angela P Englund, Janet A Pergam, Steven A Boeckh, Michael Bloom, Jesse D eLife Genomics and Evolutionary Biology Viral variants that arise in the global influenza population begin as de novo mutations in single infected hosts, but the evolutionary dynamics that transform within-host variation to global genetic diversity are poorly understood. Here, we demonstrate that influenza evolution within infected humans recapitulates many evolutionary dynamics observed at the global scale. We deep-sequence longitudinal samples from four immunocompromised patients with long-term H3N2 influenza infections. We find parallel evolution across three scales: within individual patients, in different patients in our study, and in the global influenza population. In hemagglutinin, a small set of mutations arises independently in multiple patients. These same mutations emerge repeatedly within single patients and compete with one another, providing a vivid clinical example of clonal interference. Many of these recurrent within-host mutations also reach a high global frequency in the decade following the patient infections. Our results demonstrate surprising concordance in evolutionary dynamics across multiple spatiotemporal scales. DOI: http://dx.doi.org/10.7554/eLife.26875.001 eLife Sciences Publications, Ltd 2017-06-27 /pmc/articles/PMC5487208/ /pubmed/28653624 http://dx.doi.org/10.7554/eLife.26875 Text en © 2017, Xue et al 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 Genomics and Evolutionary Biology
Xue, Katherine S
Stevens-Ayers, Terry
Campbell, Angela P
Englund, Janet A
Pergam, Steven A
Boeckh, Michael
Bloom, Jesse D
Parallel evolution of influenza across multiple spatiotemporal scales
title Parallel evolution of influenza across multiple spatiotemporal scales
title_full Parallel evolution of influenza across multiple spatiotemporal scales
title_fullStr Parallel evolution of influenza across multiple spatiotemporal scales
title_full_unstemmed Parallel evolution of influenza across multiple spatiotemporal scales
title_short Parallel evolution of influenza across multiple spatiotemporal scales
title_sort parallel evolution of influenza across multiple spatiotemporal scales
topic Genomics and Evolutionary Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5487208/
https://www.ncbi.nlm.nih.gov/pubmed/28653624
http://dx.doi.org/10.7554/eLife.26875
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