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Get Free AccessAbstract Background Six amino acid positions (145, 155, 156, 158, 159, and 189, referred to as the antigenic motif; H3 numbering) in the globular head region of hemagglutinin ( HA 1 domain) play an important role in defining the antigenic phenotype of swine Clade IV (C‐ IV ) H3N2 IAV , containing an H3 from a late 1990s human‐to‐swine introduction. We hypothesized that antigenicity of a swine C‐ IV H3 virus could be inferred based upon the antigenic motif if it matched a previously characterized antigen with the same motif. An increasing number of C‐ IV H3 genes encoding antigenic motifs that had not been previously characterized were observed in the U.S. pig population between 2012 and 2016. Objectives A broad panel of contemporary H3 viruses with uncharacterized antigenic motifs was selected across multiple clades within C‐ IV to assess the impact of HA 1 genetic diversity on the antigenic phenotype. Methods Hemagglutination inhibition ( HI ) assays were performed with isolates selected based on antigenic motif, tested against a panel of swine antisera, and visualized by antigenic cartography. Results A previously uncharacterized motif with low but sustained circulation in the swine population demonstrated a distinct phenotype from those previously characterized. Antigenic variation increased for viruses with similar antigenic motifs, likely due to amino acid substitutions outside the motif. Conclusions Although antigenic motifs were largely associated with antigenic distances, substantial diversity among co‐circulating viruses poses a significant challenge for effective vaccine development. Continued surveillance and antigenic characterization of circulating strains is critical for improving vaccine efforts to control C‐ IV H3 IAV in U.S. swine.
Marcus J. Bolton, Eugenio J. Abente, Divya Venkatesh, Jered A. Stratton, Michael Zeller, Tavis K. Anderson, Nicola S. Lewis, Amy L. Vincent (2018). Antigenic evolution of H3N2 influenza A viruses in swine in the United States from 2012 to 2016. , 13(1), DOI: https://doi.org/10.1111/irv.12610.
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Type
Article
Year
2018
Authors
8
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1111/irv.12610
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