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Surveillance for highly pathogenic influenza A viruses in California during 2014–2015 provides insights into viral evolutionary pathways and the spatiotemporal extent of viruses in the Pacific Americas Flyway
We used surveillance data collected in California before, concurrent with, and subsequent to an outbreak of highly pathogenic (HP) clade 2.3.4.4 influenza A viruses (IAVs) in 2014–2015 to (i) evaluate IAV prevalence in waterfowl, (ii) assess the evidence for spill-over infections in marine mammals a...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5625317/ https://www.ncbi.nlm.nih.gov/pubmed/28874792 http://dx.doi.org/10.1038/emi.2017.66 |
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author | Ramey, Andrew M Hill, Nichola J Cline, Troy Plancarte, Magdalena De La Cruz, Susan Casazza, Michael L Ackerman, Joshua T Fleskes, Joseph P Vickers, T Winston Reeves, Andrew B Gulland, Frances Fontaine, Christine Prosser, Diann J Runstadler, Jonathan A Boyce, Walter M |
author_facet | Ramey, Andrew M Hill, Nichola J Cline, Troy Plancarte, Magdalena De La Cruz, Susan Casazza, Michael L Ackerman, Joshua T Fleskes, Joseph P Vickers, T Winston Reeves, Andrew B Gulland, Frances Fontaine, Christine Prosser, Diann J Runstadler, Jonathan A Boyce, Walter M |
author_sort | Ramey, Andrew M |
collection | PubMed |
description | We used surveillance data collected in California before, concurrent with, and subsequent to an outbreak of highly pathogenic (HP) clade 2.3.4.4 influenza A viruses (IAVs) in 2014–2015 to (i) evaluate IAV prevalence in waterfowl, (ii) assess the evidence for spill-over infections in marine mammals and (iii) genetically characterize low-pathogenic (LP) and HP IAVs to refine inference on the spatiotemporal extent of HP genome constellations and to evaluate possible evolutionary pathways. We screened samples from 1496 waterfowl and 1142 marine mammals collected from April 2014 to August 2015 and detected IAV RNA in 159 samples collected from birds (n=157) and pinnipeds (n=2). HP IAV RNA was identified in three samples originating from American wigeon (Anas americana). Genetic sequence data were generated for a clade 2.3.4.4 HP IAV-positive diagnostic sample and 57 LP IAV isolates. Phylogenetic analyses revealed that the HP IAV was a reassortant H5N8 virus with gene segments closely related to LP IAVs detected in mallards (Anas platyrhynchos) sampled in California and other IAVs detected in wild birds sampled within the Pacific Americas Flyway. In addition, our analysis provided support for common ancestry between LP IAVs recovered from waterfowl sampled in California and gene segments of reassortant HP H5N1 IAVs detected in British Columbia, Canada and Washington, USA. Our investigation provides evidence that waterfowl are likely to have played a role in the evolution of reassortant HP IAVs in the Pacific Americas Flyway during 2014–2015, whereas we did not find support for spill-over infections in potential pinniped hosts. |
format | Online Article Text |
id | pubmed-5625317 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-56253172017-10-04 Surveillance for highly pathogenic influenza A viruses in California during 2014–2015 provides insights into viral evolutionary pathways and the spatiotemporal extent of viruses in the Pacific Americas Flyway Ramey, Andrew M Hill, Nichola J Cline, Troy Plancarte, Magdalena De La Cruz, Susan Casazza, Michael L Ackerman, Joshua T Fleskes, Joseph P Vickers, T Winston Reeves, Andrew B Gulland, Frances Fontaine, Christine Prosser, Diann J Runstadler, Jonathan A Boyce, Walter M Emerg Microbes Infect Original Article We used surveillance data collected in California before, concurrent with, and subsequent to an outbreak of highly pathogenic (HP) clade 2.3.4.4 influenza A viruses (IAVs) in 2014–2015 to (i) evaluate IAV prevalence in waterfowl, (ii) assess the evidence for spill-over infections in marine mammals and (iii) genetically characterize low-pathogenic (LP) and HP IAVs to refine inference on the spatiotemporal extent of HP genome constellations and to evaluate possible evolutionary pathways. We screened samples from 1496 waterfowl and 1142 marine mammals collected from April 2014 to August 2015 and detected IAV RNA in 159 samples collected from birds (n=157) and pinnipeds (n=2). HP IAV RNA was identified in three samples originating from American wigeon (Anas americana). Genetic sequence data were generated for a clade 2.3.4.4 HP IAV-positive diagnostic sample and 57 LP IAV isolates. Phylogenetic analyses revealed that the HP IAV was a reassortant H5N8 virus with gene segments closely related to LP IAVs detected in mallards (Anas platyrhynchos) sampled in California and other IAVs detected in wild birds sampled within the Pacific Americas Flyway. In addition, our analysis provided support for common ancestry between LP IAVs recovered from waterfowl sampled in California and gene segments of reassortant HP H5N1 IAVs detected in British Columbia, Canada and Washington, USA. Our investigation provides evidence that waterfowl are likely to have played a role in the evolution of reassortant HP IAVs in the Pacific Americas Flyway during 2014–2015, whereas we did not find support for spill-over infections in potential pinniped hosts. Nature Publishing Group 2017-09 2017-09-06 /pmc/articles/PMC5625317/ /pubmed/28874792 http://dx.doi.org/10.1038/emi.2017.66 Text en Copyright © 2017 The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Original Article Ramey, Andrew M Hill, Nichola J Cline, Troy Plancarte, Magdalena De La Cruz, Susan Casazza, Michael L Ackerman, Joshua T Fleskes, Joseph P Vickers, T Winston Reeves, Andrew B Gulland, Frances Fontaine, Christine Prosser, Diann J Runstadler, Jonathan A Boyce, Walter M Surveillance for highly pathogenic influenza A viruses in California during 2014–2015 provides insights into viral evolutionary pathways and the spatiotemporal extent of viruses in the Pacific Americas Flyway |
title | Surveillance for highly pathogenic influenza A viruses in California during 2014–2015 provides insights into viral evolutionary pathways and the spatiotemporal extent of viruses in the Pacific Americas Flyway |
title_full | Surveillance for highly pathogenic influenza A viruses in California during 2014–2015 provides insights into viral evolutionary pathways and the spatiotemporal extent of viruses in the Pacific Americas Flyway |
title_fullStr | Surveillance for highly pathogenic influenza A viruses in California during 2014–2015 provides insights into viral evolutionary pathways and the spatiotemporal extent of viruses in the Pacific Americas Flyway |
title_full_unstemmed | Surveillance for highly pathogenic influenza A viruses in California during 2014–2015 provides insights into viral evolutionary pathways and the spatiotemporal extent of viruses in the Pacific Americas Flyway |
title_short | Surveillance for highly pathogenic influenza A viruses in California during 2014–2015 provides insights into viral evolutionary pathways and the spatiotemporal extent of viruses in the Pacific Americas Flyway |
title_sort | surveillance for highly pathogenic influenza a viruses in california during 2014–2015 provides insights into viral evolutionary pathways and the spatiotemporal extent of viruses in the pacific americas flyway |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5625317/ https://www.ncbi.nlm.nih.gov/pubmed/28874792 http://dx.doi.org/10.1038/emi.2017.66 |
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