Title |
Intrahost Evolutionary Dynamics of Canine Influenza Virus in Naïve and Partially Immune Dogs ▿
|
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Published in |
Journal of Virology, March 2010
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DOI | 10.1128/jvi.02469-09 |
Pubmed ID | |
Authors |
Karin Hoelzer, Pablo R. Murcia, Gregory J. Baillie, James L. N. Wood, Stephan M. Metzger, Nikolaus Osterrieder, Edward J. Dubovi, Edward C. Holmes, Colin R. Parrish |
Abstract |
The patterns and dynamics of evolution in acutely infecting viruses within individual hosts are largely unknown. To this end, we investigated the intrahost variation of canine influenza virus (CIV) during the course of experimental infections in naïve and partially immune dogs and in naturally infected dogs. Tracing sequence diversity in the gene encoding domain 1 of the hemagglutinin (HA1) protein over the time course of infection provided information on the patterns and processes of intrahost viral evolution and revealed some of the effects of partial host immunity. Viral populations sampled on any given day were generally characterized by mean pairwise genetic diversities between 0.1 and 0.2% and by mutational spectra that changed considerably on different days. Some observed mutations may have affected antigenicity or host range, including reversions of CIV host-associated mutations. Patterns of sequence diversity differed between naïve and vaccinated dogs, with some presumably antigenic mutations transiently reaching high frequency in the latter. CIV populations are therefore characterized by the rapid generation and clearance of genetic diversity. Potentially advantageous mutations arise readily during the course of single infections and may give rise to antigenic escape or host range variants. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 3% |
Australia | 1 | 1% |
Kenya | 1 | 1% |
Mexico | 1 | 1% |
United Kingdom | 1 | 1% |
Unknown | 65 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 21 | 30% |
Student > Ph. D. Student | 14 | 20% |
Student > Master | 6 | 8% |
Professor | 5 | 7% |
Student > Doctoral Student | 4 | 6% |
Other | 14 | 20% |
Unknown | 7 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 33 | 46% |
Immunology and Microbiology | 7 | 10% |
Medicine and Dentistry | 5 | 7% |
Biochemistry, Genetics and Molecular Biology | 5 | 7% |
Veterinary Science and Veterinary Medicine | 4 | 6% |
Other | 7 | 10% |
Unknown | 10 | 14% |