Quantifying within-host diversity of H5N1 influenza viruses in humans and poultry in Cambodia.

Autor: Louise H Moncla, Trevor Bedford, Philippe Dussart, Srey Viseth Horm, Sareth Rith, Philippe Buchy, Erik A Karlsson, Lifeng Li, Yongmei Liu, Huachen Zhu, Yi Guan, Thomas C Friedrich, Paul F Horwood
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: PLoS Pathogens, Vol 16, Iss 1, p e1008191 (2020)
Druh dokumentu: article
ISSN: 1553-7366
1553-7374
DOI: 10.1371/journal.ppat.1008191
Popis: Avian influenza viruses (AIVs) periodically cross species barriers and infect humans. The likelihood that an AIV will evolve mammalian transmissibility depends on acquiring and selecting mutations during spillover, but data from natural infection is limited. We analyze deep sequencing data from infected humans and domestic ducks in Cambodia to examine how H5N1 viruses evolve during spillover. Overall, viral populations in both species are predominated by low-frequency (5% frequency within-host. However, short infection times, genetic drift, and purifying selection likely restrict their ability to evolve extensively during a single infection. Applying evolutionary methods to sequence data, we reveal a detailed view of H5N1 virus adaptive potential, and develop a foundation for studying host-adaptation in other zoonotic viruses.
Databáze: Directory of Open Access Journals
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