Cargando…
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...
Autores principales: | , , , , , , |
---|---|
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 |
_version_ | 1783246417357176832 |
---|---|
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 |
format | Online Article Text |
id | pubmed-5487208 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT xuekatherines parallelevolutionofinfluenzaacrossmultiplespatiotemporalscales AT stevensayersterry parallelevolutionofinfluenzaacrossmultiplespatiotemporalscales AT campbellangelap parallelevolutionofinfluenzaacrossmultiplespatiotemporalscales AT englundjaneta parallelevolutionofinfluenzaacrossmultiplespatiotemporalscales AT pergamstevena parallelevolutionofinfluenzaacrossmultiplespatiotemporalscales AT boeckhmichael parallelevolutionofinfluenzaacrossmultiplespatiotemporalscales AT bloomjessed parallelevolutionofinfluenzaacrossmultiplespatiotemporalscales |