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...
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Veröffentlicht in: | Nature communications 2019-07, Vol.10 (1), p.3396-12, Article 3396 |
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Sprache: | eng |
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Zusammenfassung: | 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.
Polymorphisms in the avian influenza A virus (IAV) polymerase restrict its host range during transmission from birds to mammals. Here, the authors investigate differences in the host chromatin regulator
ANP32A
regarding IAV polymerase adaptation, and profile
ANP32A
splicing to predict avian species associated with pre-adaptive human-signatures in the virus. |
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ISSN: | 2041-1723 2041-1723 |
DOI: | 10.1038/s41467-019-11388-2 |