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Unexpected interfarm transmission dynamics during a highly pathogenic avian influenza epidemic

Authors :
Fusaro, Alice
Tassoni, Luca
Milani, Adelaide
Hughes, Joseph
Salviato, Annalisa
Murcia, Pablo R.
Massi, Paola
Zamperin, Gianpiero
Bonfanti, Lebana
Marangon, Stefano
Cattoli, Giovanni
Monne, Isabella
Schultz-Cherry, S.
Publication Year :
2016
Publisher :
American Society for Microbiology, 2016.

Abstract

Next-generation sequencing technology is now being increasingly applied to study the within- and between-host population dynamics of viruses. However, information on avian influenza virus evolution and transmission during a naturally occurring epidemic is still limited. Here, we use deep-sequencing data obtained from clinical samples collected from five industrial holdings and a backyard farm infected during the 2013 highly pathogenic avian influenza (HPAI) H7N7 epidemic in Italy to unravel (i) the epidemic virus population diversity, (ii) the evolution of virus pathogenicity, and (iii) the pathways of viral transmission between different holdings and sheds. We show a high level of genetic diversity of the HPAI H7N7 viruses within a single farm as a consequence of separate bottlenecks and founder effects. In particular, we identified the cocirculation in the index case of two viral strains showing a different insertion at the hemagglutinin cleavage site, as well as nine nucleotide differences at the consensus level and 92 minority variants. To assess interfarm transmission, we combined epidemiological and genetic data and identified the index case as the major source of the virus, suggesting the spread of different viral haplotypes from the index farm to the other industrial holdings, probably at different time points. Our results revealed interfarm transmission dynamics that the epidemiological data alone could not unravel and demonstrated that delay in the disease detection and stamping out was the major cause of the emergence and the spread of the HPAI strain.

Subjects

Subjects :
viruses

Details

Language :
English
ISSN :
0022538X
Database :
OpenAIRE
Accession number :
edsair.core.ac.uk....e01da6c73f8e2c2be9c3bad82ab8e7b7