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Integrating influenza antigenic dynamics with molecular evolution
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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3909918/ https://www.ncbi.nlm.nih.gov/pubmed/24497547 http://dx.doi.org/10.7554/eLife.01914 |
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author | Bedford, Trevor Suchard, Marc A Lemey, Philippe Dudas, Gytis Gregory, Victoria Hay, Alan J McCauley, John W Russell, Colin A Smith, Derek J Rambaut, Andrew |
author_facet | Bedford, Trevor Suchard, Marc A Lemey, Philippe Dudas, Gytis Gregory, Victoria Hay, Alan J McCauley, John W Russell, Colin A Smith, Derek J Rambaut, Andrew |
author_sort | Bedford, Trevor |
collection | PubMed |
description | 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. DOI: http://dx.doi.org/10.7554/eLife.01914.001 |
format | Online Article Text |
id | pubmed-3909918 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-39099182014-02-05 Integrating influenza antigenic dynamics with molecular evolution Bedford, Trevor Suchard, Marc A Lemey, Philippe Dudas, Gytis Gregory, Victoria Hay, Alan J McCauley, John W Russell, Colin A Smith, Derek J Rambaut, Andrew eLife Genomics and Evolutionary Biology 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. DOI: http://dx.doi.org/10.7554/eLife.01914.001 eLife Sciences Publications, Ltd 2014-02-04 /pmc/articles/PMC3909918/ /pubmed/24497547 http://dx.doi.org/10.7554/eLife.01914 Text en Copyright © 2013, Bedford et al http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Genomics and Evolutionary Biology Bedford, Trevor Suchard, Marc A Lemey, Philippe Dudas, Gytis Gregory, Victoria Hay, Alan J McCauley, John W Russell, Colin A Smith, Derek J Rambaut, Andrew Integrating influenza antigenic dynamics with molecular evolution |
title | Integrating influenza antigenic dynamics with molecular evolution |
title_full | Integrating influenza antigenic dynamics with molecular evolution |
title_fullStr | Integrating influenza antigenic dynamics with molecular evolution |
title_full_unstemmed | Integrating influenza antigenic dynamics with molecular evolution |
title_short | Integrating influenza antigenic dynamics with molecular evolution |
title_sort | integrating influenza antigenic dynamics with molecular evolution |
topic | Genomics and Evolutionary Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3909918/ https://www.ncbi.nlm.nih.gov/pubmed/24497547 http://dx.doi.org/10.7554/eLife.01914 |
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