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Parallel evolution of influenza across multiple spatiotemporal scales

tetano

Editor, Senior Moderator
Elife. 2017 Jun 27;6. pii: e26875. doi: 10.7554/eLife.26875.
[h=1]Parallel evolution of influenza across multiple spatiotemporal scales.[/h] Xue KS[SUP]1,[/SUP][SUP]2[/SUP], Stevens-Ayers T[SUP]3[/SUP], Campbell AP[SUP]3[/SUP], Englund JA[SUP]4,[/SUP][SUP]5[/SUP], Pergam SA[SUP]3,[/SUP][SUP]6,[/SUP][SUP]7[/SUP], Boeckh M[SUP]3,[/SUP][SUP]6,[/SUP][SUP]7[/SUP], Bloom JD[SUP]1,[/SUP][SUP]2[/SUP].
[h=3]Author information[/h]

[h=3]Abstract[/h] Viral variants that arise in the global influenza population begin as de novo mutations in single infected hosts, but the evolutionary dynamics that transform within-host variation to global genetic diversity are poorly understood. Here, we demonstrate that influenza evolution within infected humans recapitulates many evolutionary dynamics observed at the global scale. We deep-sequence longitudinal samples from four immunocompromised patients with long-term H3N2 influenza infections. We find parallel evolution across three scales: within individual patients, in different patients in our study, and in the global influenza population. In hemagglutinin, a small set of mutations arises independently in multiple patients. These same mutations emerge repeatedly within single patients and compete with one another, providing a vivid clinical example of clonal interference. Many of these recurrent within-host mutations also reach a high global frequency in the decade following the patient infections. Our results demonstrate surprising concordance in evolutionary dynamics across multiple spatiotemporal scales.


[h=4]KEYWORDS:[/h] antigenic evolution; clonal interference; deep sequencing; epidemiology; evolutionary biology; genomics; hemagglutinin; human; infectious disease; influenza; microbiology; virus

PMID: 28653624 DOI: 10.7554/eLife.26875
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