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Evolutionary Trends of A(H1N1) Influenza Virus Hemagglutinin Since 1918

Overview of attention for article published in PLOS ONE, November 2009
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Title
Evolutionary Trends of A(H1N1) Influenza Virus Hemagglutinin Since 1918
Published in
PLOS ONE, November 2009
DOI 10.1371/journal.pone.0007789
Pubmed ID
Authors

Jun Shen, Jianpeng Ma, Qinghua Wang

Abstract

The Pandemic (H1N1) 2009 is spreading to numerous countries and causing many human deaths. Although the symptoms in humans are mild at present, fears are that further mutations in the virus could lead to a potentially more dangerous outbreak in subsequent months. As the primary immunity-eliciting antigen, hemagglutinin (HA) is the major agent for host-driven antigenic drift in A(H3N2) virus. However, whether and how the evolution of HA is influenced by existing immunity is poorly understood for A(H1N1). Here, by analyzing hundreds of A(H1N1) HA sequences since 1918, we show the first evidence that host selections are indeed present in A(H1N1) HAs. Among a subgroup of human A(H1N1) HAs between 1918 approximately 2008, we found strong diversifying (positive) selection at HA(1) 156 and 190. We also analyzed the evolutionary trends at HA(1) 190 and 225 that are critical determinants for receptor-binding specificity of A(H1N1) HA. Different A(H1N1) viruses appeared to favor one of these two sites in host-driven antigenic drift: epidemic A(H1N1) HAs favor HA(1) 190 while the 1918 pandemic and swine HAs favor HA(1) 225. Thus, our results highlight the urgency to understand the interplay between antigenic drift and receptor binding in HA evolution, and provide molecular signatures for monitoring future antigenically drifted 2009 pandemic and seasonal A(H1N1) influenza viruses.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 4 4%
Italy 1 1%
Brazil 1 1%
Germany 1 1%
United Kingdom 1 1%
India 1 1%
Denmark 1 1%
Mexico 1 1%
Unknown 83 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 31%
Student > Ph. D. Student 16 17%
Student > Master 15 16%
Professor > Associate Professor 10 11%
Student > Bachelor 9 10%
Other 11 12%
Unknown 4 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 43 46%
Medicine and Dentistry 14 15%
Biochemistry, Genetics and Molecular Biology 10 11%
Immunology and Microbiology 6 6%
Veterinary Science and Veterinary Medicine 4 4%
Other 11 12%
Unknown 6 6%