Transmission of Equine Influenza Virus during an outbreak is characterized by frequent mixed infections and loose transmission bottlenecks

Hughes, Joseph, Allen, Richard C., Baguelin, Marc, Hampson, Katie, Baillie, Gregory J., Elton, Debra, Newton, J. Richard, Kellam, Paul, Wood, James L. N., Holmes, Edward C. and Murcia, Pablo R. (2012) Transmission of Equine Influenza Virus during an outbreak is characterized by frequent mixed infections and loose transmission bottlenecks. PLoS Pathogens, 8 12: e1003081.1-e1003081.15. doi:10.1371/journal.ppat.1003081


Author Hughes, Joseph
Allen, Richard C.
Baguelin, Marc
Hampson, Katie
Baillie, Gregory J.
Elton, Debra
Newton, J. Richard
Kellam, Paul
Wood, James L. N.
Holmes, Edward C.
Murcia, Pablo R.
Title Transmission of Equine Influenza Virus during an outbreak is characterized by frequent mixed infections and loose transmission bottlenecks
Journal name PLoS Pathogens   Check publisher's open access policy
ISSN 1553-7374
Publication date 2012-12
Year available 2012
Sub-type Article (original research)
DOI 10.1371/journal.ppat.1003081
Open Access Status DOI
Volume 8
Issue 12
Start page e1003081.1
End page e1003081.15
Total pages 15
Place of publication San Francisco, CA United States
Publisher Public Library of Science
Collection year 2013
Language eng
Formatted abstract
The ability of influenza A viruses (IAVs) to cross species barriers and evade host immunity is a major public health concern. Studies on the phylodynamics of IAVs across different scales - from the individual to the population - are essential for devising effective measures to predict, prevent or contain influenza emergence. Understanding how IAVs spread and evolve during outbreaks is critical for the management of epidemics. Reconstructing the transmission network during a single outbreak by sampling viral genetic data in time and space can generate insights about these processes. Here, we obtained intra-host viral sequence data from horses infected with equine influenza virus (EIV) to reconstruct the spread of EIV during a large outbreak. To this end, we analyzed within-host viral populations from sequences covering 90% of the infected yards. By combining gene sequence analyses with epidemiological data, we inferred a plausible transmission network, in turn enabling the comparison of transmission patterns during the course of the outbreak and revealing important epidemiological features that were not apparent using either approach alone. The EIV populations displayed high levels of genetic diversity, and in many cases we observed distinct viral populations containing a dominant variant and a number of related minor variants that were transmitted between infectious horses. In addition, we found evidence of frequent mixed infections and loose transmission bottlenecks in these naturally occurring populations. These frequent mixed infections likely influence the size of epidemics.
Keyword Evolutionary Dynamics
A Viruses
Epidemiologic Data
Social Networks
Phylogenies
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Non HERDC
Institute for Molecular Bioscience - Publications
 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 19 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 21 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Fri, 14 Jun 2013, 11:16:26 EST by Gregory Baillie on behalf of Institute for Molecular Bioscience