Rxivist logo

Deep mutational scanning identifies sites in influenza nucleoprotein that affect viral inhibition by MxA

By Orr Ashenberg, Jai Padmakumar, Michael B. Doud, Jesse Bloom

Posted 28 Aug 2016
bioRxiv DOI: 10.1101/071969 (published DOI: 10.1371/journal.ppat.1006288)

The innate-immune restriction factor MxA inhibits influenza replication by targeting the viral nucleoprotein (NP). Human influenza is more resistant than avian influenza to inhibition by human MxA, and prior work has compared human and avian viral strains to identify amino-acid differences in NP that affect sensitivity to MxA. However, this strategy is limited to identifying sites in NP where mutations that affect MxA sensitivity have fixed during the small number of documented zoonotic transmissions of influenza to humans. Here we use an unbiased deep mutational scanning approach to quantify how all ≈10,000 amino-acid mutations to NP affect MxA sensitivity. We both identify new sites in NP where mutations affect MxA resistance and re-identify mutations known to have increased MxA resistance during historical adaptations of influenza to humans. Most of the sites where mutations have the greatest effect are almost completely conserved across all influenza A viruses, and the amino acids at these sites confer relatively high resistance to MxA. These sites cluster in regions of NP that appear to be important for its recognition by MxA. Overall, our work systematically identifies the sites in influenza nucleoprotein where mutations affect sensitivity to MxA. We also demonstrate a powerful new strategy for identifying regions of viral proteins that affect interactions with host factors.

Download data

  • Downloaded 601 times
  • Download rankings, all-time:
    • Site-wide: 39,481
    • In microbiology: 2,387
  • Year to date:
    • Site-wide: 108,553
  • Since beginning of last month:
    • Site-wide: 108,553

Altmetric data


Downloads over time

Distribution of downloads per paper, site-wide


PanLingua

Sign up for the Rxivist weekly newsletter! (Click here for more details.)


News