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A Single Base-Pair Change in 2009 H1N1 Hemagglutinin Increases Human Receptor Affinity and Leads to Efficient Airborne Viral Transmission in Ferrets

Overview of attention for article published in PLOS ONE, March 2011
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Title
A Single Base-Pair Change in 2009 H1N1 Hemagglutinin Increases Human Receptor Affinity and Leads to Efficient Airborne Viral Transmission in Ferrets
Published in
PLOS ONE, March 2011
DOI 10.1371/journal.pone.0017616
Pubmed ID
Authors

Akila Jayaraman, Claudia Pappas, Rahul Raman, Jessica A. Belser, Karthik Viswanathan, Zachary Shriver, Terrence M. Tumpey, Ram Sasisekharan

Abstract

The 2009 H1N1 influenza A virus continues to circulate among the human population as the predominant H1N1 subtype. Epidemiological studies and airborne transmission studies using the ferret model have shown that the transmission efficiency of 2009 H1N1 viruses is lower than that of previous seasonal strains and the 1918 pandemic H1N1 strain. We recently correlated this reduced transmission efficiency to the lower binding affinity of the 2009 H1N1 hemagglutinin (HA) to α2→6 sialylated glycan receptors (human receptors). Here we report that a single point mutation (Ile219→Lys; a base pair change) in the glycan receptor-binding site (RBS) of a representative 2009 H1N1 influenza A virus, A/California/04/09 or CA04/09, quantitatively increases its human receptor-binding affinity. The increased human receptor-affinity is in the same range as that of the HA from highly transmissible seasonal and 1918 pandemic H1N1 viruses. Moreover, a 2009 H1N1 virus carrying this mutation in the RBS (generated using reverse genetics) transmits efficiently in ferrets by respiratory droplets thereby reestablishing our previously observed correlation between human receptor-binding affinity and transmission efficiency. These findings are significant in the context of monitoring the evolution of the currently circulating 2009 H1N1 viruses.

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Mendeley readers

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Geographical breakdown

Country Count As %
United States 3 5%
India 1 2%
China 1 2%
Australia 1 2%
Unknown 54 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 27%
Researcher 13 22%
Student > Bachelor 9 15%
Professor > Associate Professor 5 8%
Student > Master 4 7%
Other 6 10%
Unknown 7 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 50%
Biochemistry, Genetics and Molecular Biology 4 7%
Immunology and Microbiology 4 7%
Medicine and Dentistry 4 7%
Veterinary Science and Veterinary Medicine 3 5%
Other 8 13%
Unknown 7 12%