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Profiling host ANP32A splicing landscapes to predict influenza A virus polymerase adaptation
Species’ differences in cellular factors limit avian influenza A virus (IAV) zoonoses and human pandemics. The IAV polymerase, vPol, harbors evolutionary sites to overcome restriction and determines virulence. Here, we establish host ANP32A as a critical driver of selection, and identify host-specif...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6667478/ https://www.ncbi.nlm.nih.gov/pubmed/31363119 http://dx.doi.org/10.1038/s41467-019-11388-2 |
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author | Domingues, Patricia Eletto, Davide Magnus, Carsten Turkington, Hannah L. Schmutz, Stefan Zagordi, Osvaldo Lenk, Matthias Beer, Martin Stertz, Silke Hale, Benjamin G. |
author_facet | Domingues, Patricia Eletto, Davide Magnus, Carsten Turkington, Hannah L. Schmutz, Stefan Zagordi, Osvaldo Lenk, Matthias Beer, Martin Stertz, Silke Hale, Benjamin G. |
author_sort | Domingues, Patricia |
collection | PubMed |
description | Species’ differences in cellular factors limit avian influenza A virus (IAV) zoonoses and human pandemics. The IAV polymerase, vPol, harbors evolutionary sites to overcome restriction and determines virulence. Here, we establish host ANP32A as a critical driver of selection, and identify host-specific ANP32A splicing landscapes that predict viral evolution. We find that avian species differentially express three ANP32A isoforms diverging in a vPol-promoting insert. ANP32As with shorter inserts interact poorly with vPol, are compromised in supporting avian-like IAV replication, and drive selection of mammalian-adaptive vPol sequences with distinct kinetics. By integrating selection data with multi-species ANP32A splice variant profiling, we develop a mathematical model to predict avian species potentially driving (swallow, magpie) or maintaining (goose, swan) mammalian-adaptive vPol signatures. Supporting these predictions, surveillance data confirm enrichment of several mammalian-adaptive vPol substitutions in magpie IAVs. Profiling host ANP32A splicing could enhance surveillance and eradication efforts against IAVs with pandemic potential. |
format | Online Article Text |
id | pubmed-6667478 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-66674782019-08-01 Profiling host ANP32A splicing landscapes to predict influenza A virus polymerase adaptation Domingues, Patricia Eletto, Davide Magnus, Carsten Turkington, Hannah L. Schmutz, Stefan Zagordi, Osvaldo Lenk, Matthias Beer, Martin Stertz, Silke Hale, Benjamin G. Nat Commun Article Species’ differences in cellular factors limit avian influenza A virus (IAV) zoonoses and human pandemics. The IAV polymerase, vPol, harbors evolutionary sites to overcome restriction and determines virulence. Here, we establish host ANP32A as a critical driver of selection, and identify host-specific ANP32A splicing landscapes that predict viral evolution. We find that avian species differentially express three ANP32A isoforms diverging in a vPol-promoting insert. ANP32As with shorter inserts interact poorly with vPol, are compromised in supporting avian-like IAV replication, and drive selection of mammalian-adaptive vPol sequences with distinct kinetics. By integrating selection data with multi-species ANP32A splice variant profiling, we develop a mathematical model to predict avian species potentially driving (swallow, magpie) or maintaining (goose, swan) mammalian-adaptive vPol signatures. Supporting these predictions, surveillance data confirm enrichment of several mammalian-adaptive vPol substitutions in magpie IAVs. Profiling host ANP32A splicing could enhance surveillance and eradication efforts against IAVs with pandemic potential. Nature Publishing Group UK 2019-07-30 /pmc/articles/PMC6667478/ /pubmed/31363119 http://dx.doi.org/10.1038/s41467-019-11388-2 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Domingues, Patricia Eletto, Davide Magnus, Carsten Turkington, Hannah L. Schmutz, Stefan Zagordi, Osvaldo Lenk, Matthias Beer, Martin Stertz, Silke Hale, Benjamin G. Profiling host ANP32A splicing landscapes to predict influenza A virus polymerase adaptation |
title | Profiling host ANP32A splicing landscapes to predict influenza A virus polymerase adaptation |
title_full | Profiling host ANP32A splicing landscapes to predict influenza A virus polymerase adaptation |
title_fullStr | Profiling host ANP32A splicing landscapes to predict influenza A virus polymerase adaptation |
title_full_unstemmed | Profiling host ANP32A splicing landscapes to predict influenza A virus polymerase adaptation |
title_short | Profiling host ANP32A splicing landscapes to predict influenza A virus polymerase adaptation |
title_sort | profiling host anp32a splicing landscapes to predict influenza a virus polymerase adaptation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6667478/ https://www.ncbi.nlm.nih.gov/pubmed/31363119 http://dx.doi.org/10.1038/s41467-019-11388-2 |
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