Integrating influenza antigenic dynamics with molecular evolution
Trevor Bedford,
Marc A Suchard,
Philippe Lemey,
Gytis Dudas,
Victoria Gregory,
Alan J Hay,
John W McCauley,
Colin A Russell,
Derek J Smith,
Andrew Rambaut
Affiliations
Trevor Bedford
Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, United Kingdom
Marc A Suchard
Department of Biomathematics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, United States; Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, United States; Department of Biostatistics, UCLA Fielding School of Public Health, University of California, Los Angeles, Los Angeles, United States
Philippe Lemey
Department of Microbiology and Immunology, Rega Institute, Katholieke Universiteit Leuven, Leuven, Belgium
Gytis Dudas
Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, United Kingdom
Victoria Gregory
Division of Virology, MRC National Institute for Medical Research, London, United Kingdom
Alan J Hay
Division of Virology, MRC National Institute for Medical Research, London, United Kingdom
John W McCauley
Division of Virology, MRC National Institute for Medical Research, London, United Kingdom
Colin A Russell
WHO Collaborating Centre for Modeling, Evolution and Control of Emerging Infectious Diseases, University of Cambridge, Cambridge, United Kingdom; Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom
Derek J Smith
WHO Collaborating Centre for Modeling, Evolution and Control of Emerging Infectious Diseases, University of Cambridge, Cambridge, United Kingdom; Centre for Pathogen Evolution, Department of Zoology, University of Cambridge, Cambridge, United Kingdom; Department of Virology, Erasmus Medical Centre, Rotterdam, Netherlands
Andrew Rambaut
Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, United Kingdom; Fogarty International Center, National Institutes of Health, Bethesda, United States; Centre for Immunity, Infection and Evolution, University of Edinburgh, Edinburgh, United Kingdom
Influenza viruses undergo continual antigenic evolution allowing mutant viruses to evade host immunity acquired to previous virus strains. Antigenic phenotype is often assessed through pairwise measurement of cross-reactivity between influenza strains using the hemagglutination inhibition (HI) assay. Here, we extend previous approaches to antigenic cartography, and simultaneously characterize antigenic and genetic evolution by modeling the diffusion of antigenic phenotype over a shared virus phylogeny. Using HI data from influenza lineages A/H3N2, A/H1N1, B/Victoria and B/Yamagata, we determine patterns of antigenic drift across viral lineages, showing that A/H3N2 evolves faster and in a more punctuated fashion than other influenza lineages. We also show that year-to-year antigenic drift appears to drive incidence patterns within each influenza lineage. This work makes possible substantial future advances in investigating the dynamics of influenza and other antigenically-variable pathogens by providing a model that intimately combines molecular and antigenic evolution.