Integrating influenza antigenic dynamics with molecular evolution

Author:

Bedford Trevor1,Suchard Marc A234,Lemey Philippe5,Dudas Gytis1,Gregory Victoria6,Hay Alan J6,McCauley John W6,Russell Colin A78,Smith Derek J7910,Rambaut Andrew11112

Affiliation:

1. Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, United Kingdom

2. Department of Biomathematics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, United States

3. Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, United States

4. Department of Biostatistics, UCLA Fielding School of Public Health, University of California, Los Angeles, Los Angeles, United States

5. Department of Microbiology and Immunology, Rega Institute, Katholieke Universiteit Leuven, Leuven, Belgium

6. Division of Virology, MRC National Institute for Medical Research, London, United Kingdom

7. WHO Collaborating Centre for Modeling, Evolution and Control of Emerging Infectious Diseases, University of Cambridge, Cambridge, United Kingdom

8. Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom

9. Centre for Pathogen Evolution, Department of Zoology, University of Cambridge, Cambridge, United Kingdom

10. Department of Virology, Erasmus Medical Centre, Rotterdam, Netherlands

11. Fogarty International Center, National Institutes of Health, Bethesda, United States

12. Centre for Immunity, Infection and Evolution, University of Edinburgh, Edinburgh, United Kingdom

Abstract

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.

Funder

Royal Society

National Institutes of Health

National Science Foundation

European Commission

Medical Research Council

Wellcome Trust

Human Frontier Science Program

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3