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Constrained evolution drives limited influenza diversity

Overview of attention for article published in BMC Biology, May 2012
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Title
Constrained evolution drives limited influenza diversity
Published in
BMC Biology, May 2012
DOI 10.1186/1741-7007-10-43
Pubmed ID
Authors

Paul G Thomas, Tomer Hertz

Abstract

H3N2 influenza A viruses have been widely circulating in human populations since the pandemic of 1968. A striking feature of the evolutionary development of this strain has been its 'canalized' nature, with narrow evolutionary trees dominated by long trunks with few branching, or bifurcation events and a consequent lack of standing diversity at any single point. This is puzzling, as one might expect that the strong human immune response against the virus would create an environment encouraging more diversity, not less. Previous models have used various assumptions in order to account for this finding. A new analysis published in BMC Biology suggests that this processive evolution down a single path can be recapitulated by a relatively simple model incorporating only two primary parameters - the mutation rate of the virus, and the immunological distance created by each mutation - so long as these parameters are within a particular narrow but biologically plausible range.

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The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Portugal 1 3%
Italy 1 3%
Unknown 28 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 39%
Professor 6 19%
Student > Ph. D. Student 4 13%
Student > Bachelor 2 6%
Student > Postgraduate 2 6%
Other 3 10%
Unknown 2 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 52%
Immunology and Microbiology 3 10%
Biochemistry, Genetics and Molecular Biology 2 6%
Veterinary Science and Veterinary Medicine 2 6%
Medicine and Dentistry 2 6%
Other 3 10%
Unknown 3 10%