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Quantifying within-host diversity of H5N1 influenza viruses in humans and poultry in Cambodia

Avian influenza viruses (AIVs) periodically cross species barriers and infect humans. The likelihood that an AIV will evolve mammalian transmissibility depends on acquiring and selecting mutations during spillover, but data from natural infection is limited. We analyze deep sequencing data from infe...

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Autores principales: Moncla, Louise H., Bedford, Trevor, Dussart, Philippe, Horm, Srey Viseth, Rith, Sareth, Buchy, Philippe, Karlsson, Erik A., Li, Lifeng, Liu, Yongmei, Zhu, Huachen, Guan, Yi, Friedrich, Thomas C., Horwood, Paul F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6992230/
https://www.ncbi.nlm.nih.gov/pubmed/31951644
http://dx.doi.org/10.1371/journal.ppat.1008191
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author Moncla, Louise H.
Bedford, Trevor
Dussart, Philippe
Horm, Srey Viseth
Rith, Sareth
Buchy, Philippe
Karlsson, Erik A.
Li, Lifeng
Liu, Yongmei
Zhu, Huachen
Guan, Yi
Friedrich, Thomas C.
Horwood, Paul F.
author_facet Moncla, Louise H.
Bedford, Trevor
Dussart, Philippe
Horm, Srey Viseth
Rith, Sareth
Buchy, Philippe
Karlsson, Erik A.
Li, Lifeng
Liu, Yongmei
Zhu, Huachen
Guan, Yi
Friedrich, Thomas C.
Horwood, Paul F.
author_sort Moncla, Louise H.
collection PubMed
description Avian influenza viruses (AIVs) periodically cross species barriers and infect humans. The likelihood that an AIV will evolve mammalian transmissibility depends on acquiring and selecting mutations during spillover, but data from natural infection is limited. We analyze deep sequencing data from infected humans and domestic ducks in Cambodia to examine how H5N1 viruses evolve during spillover. Overall, viral populations in both species are predominated by low-frequency (<10%) variation shaped by purifying selection and genetic drift, and half of the variants detected within-host are never detected on the H5N1 virus phylogeny. However, we do detect a subset of mutations linked to human receptor binding and replication (PB2 E627K, HA A150V, and HA Q238L) that arose in multiple, independent humans. PB2 E627K and HA A150V were also enriched along phylogenetic branches leading to human infections, suggesting that they are likely human-adaptive. Our data show that H5N1 viruses generate putative human-adapting mutations during natural spillover infection, many of which are detected at >5% frequency within-host. However, short infection times, genetic drift, and purifying selection likely restrict their ability to evolve extensively during a single infection. Applying evolutionary methods to sequence data, we reveal a detailed view of H5N1 virus adaptive potential, and develop a foundation for studying host-adaptation in other zoonotic viruses.
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spelling pubmed-69922302020-02-18 Quantifying within-host diversity of H5N1 influenza viruses in humans and poultry in Cambodia Moncla, Louise H. Bedford, Trevor Dussart, Philippe Horm, Srey Viseth Rith, Sareth Buchy, Philippe Karlsson, Erik A. Li, Lifeng Liu, Yongmei Zhu, Huachen Guan, Yi Friedrich, Thomas C. Horwood, Paul F. PLoS Pathog Research Article Avian influenza viruses (AIVs) periodically cross species barriers and infect humans. The likelihood that an AIV will evolve mammalian transmissibility depends on acquiring and selecting mutations during spillover, but data from natural infection is limited. We analyze deep sequencing data from infected humans and domestic ducks in Cambodia to examine how H5N1 viruses evolve during spillover. Overall, viral populations in both species are predominated by low-frequency (<10%) variation shaped by purifying selection and genetic drift, and half of the variants detected within-host are never detected on the H5N1 virus phylogeny. However, we do detect a subset of mutations linked to human receptor binding and replication (PB2 E627K, HA A150V, and HA Q238L) that arose in multiple, independent humans. PB2 E627K and HA A150V were also enriched along phylogenetic branches leading to human infections, suggesting that they are likely human-adaptive. Our data show that H5N1 viruses generate putative human-adapting mutations during natural spillover infection, many of which are detected at >5% frequency within-host. However, short infection times, genetic drift, and purifying selection likely restrict their ability to evolve extensively during a single infection. Applying evolutionary methods to sequence data, we reveal a detailed view of H5N1 virus adaptive potential, and develop a foundation for studying host-adaptation in other zoonotic viruses. Public Library of Science 2020-01-17 /pmc/articles/PMC6992230/ /pubmed/31951644 http://dx.doi.org/10.1371/journal.ppat.1008191 Text en © 2020 Moncla et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Moncla, Louise H.
Bedford, Trevor
Dussart, Philippe
Horm, Srey Viseth
Rith, Sareth
Buchy, Philippe
Karlsson, Erik A.
Li, Lifeng
Liu, Yongmei
Zhu, Huachen
Guan, Yi
Friedrich, Thomas C.
Horwood, Paul F.
Quantifying within-host diversity of H5N1 influenza viruses in humans and poultry in Cambodia
title Quantifying within-host diversity of H5N1 influenza viruses in humans and poultry in Cambodia
title_full Quantifying within-host diversity of H5N1 influenza viruses in humans and poultry in Cambodia
title_fullStr Quantifying within-host diversity of H5N1 influenza viruses in humans and poultry in Cambodia
title_full_unstemmed Quantifying within-host diversity of H5N1 influenza viruses in humans and poultry in Cambodia
title_short Quantifying within-host diversity of H5N1 influenza viruses in humans and poultry in Cambodia
title_sort quantifying within-host diversity of h5n1 influenza viruses in humans and poultry in cambodia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6992230/
https://www.ncbi.nlm.nih.gov/pubmed/31951644
http://dx.doi.org/10.1371/journal.ppat.1008191
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