4.8 Article

Integrating influenza antigenic dynamics with molecular evolution

Journal

ELIFE
Volume 3, Issue -, Pages -

Publisher

ELIFE SCIENCES PUBLICATIONS LTD
DOI: 10.7554/eLife.01914

Keywords

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Categories

Funding

  1. Royal Society
  2. National Institutes of Health [R01 HG006139, R01 AI107034, DP1-OD000490-01, HHSN266200700010C]
  3. National Science Foundation [DMS126153, IIS1251151, EF-0423641]
  4. European Commission [278433-PREDEMICS, 260864, 223498-EMPERIE, 278976-ANTIGONE]
  5. Medical Research Council [U117512723]
  6. Wellcome Trust [092807, 087982AIA]
  7. Human Frontier Science Program [P0050/2008]
  8. MRC [MC_U117585868, MC_U117512723] Funding Source: UKRI
  9. Medical Research Council [MC_U117512723, MC_U117585868] Funding Source: researchfish
  10. Natural Environment Research Council [1086074] Funding Source: researchfish
  11. Division Of Mathematical Sciences
  12. Direct For Mathematical & Physical Scien [1264153] Funding Source: National Science Foundation
  13. Div Of Information & Intelligent Systems
  14. Direct For Computer & Info Scie & Enginr [1251151] Funding Source: National Science Foundation

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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.

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