IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v10y2019i1d10.1038_s41467-019-11388-2.html
   My bibliography  Save this article

Profiling host ANP32A splicing landscapes to predict influenza A virus polymerase adaptation

Author

Listed:
  • Patricia Domingues

    (University of Zurich)

  • Davide Eletto

    (University of Zurich)

  • Carsten Magnus

    (University of Zurich
    ETH Zurich
    Swiss Institute of Bioinformatics)

  • Hannah L. Turkington

    (University of Zurich)

  • Stefan Schmutz

    (University of Zurich)

  • Osvaldo Zagordi

    (University of Zurich)

  • Matthias Lenk

    (Federal Research Institute for Animal Health)

  • Martin Beer

    (Federal Research Institute for Animal Health)

  • Silke Stertz

    (University of Zurich)

  • Benjamin G. Hale

    (University of Zurich)

Abstract

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.

Suggested Citation

  • Patricia Domingues & Davide Eletto & Carsten Magnus & Hannah L. Turkington & Stefan Schmutz & Osvaldo Zagordi & Matthias Lenk & Martin Beer & Silke Stertz & Benjamin G. Hale, 2019. "Profiling host ANP32A splicing landscapes to predict influenza A virus polymerase adaptation," Nature Communications, Nature, vol. 10(1), pages 1-12, December.
    • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-11388-2
    DOI: 10.1038/s41467-019-11388-2
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-019-11388-2
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-019-11388-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-11388-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.