The three Ts of virulence evolution during zoonotic emergence

Author:

Visher Elisa1ORCID,Evensen Claire2ORCID,Guth Sarah1ORCID,Lai Edith3ORCID,Norfolk Marina4ORCID,Rozins Carly5ORCID,Sokolov Nina A.1ORCID,Sui Melissa4ORCID,Boots Michael16ORCID

Affiliation:

1. Department of Integrative Biology, University of California, Berkeley, CA 94720, USA

2. Mathematical Institute, University of Oxford, Oxford OX2 6GG, UK

3. College of Natural Resources, University of California, Berkeley, CA 94720, USA

4. College of Letters and Sciences, University of California, Berkeley, CA 94720, USA

5. Department of Science and Technology Studies, Division of Natural Science, York University, Toronto, Ontario, Canada M3J 1P3

6. Centre for Ecology and Conservation, College of Life and Environmental Sciences, University of Exeter, Penryn Campus, Penryn TR10 9FE, UK

Abstract

There is increasing interest in the role that evolution may play in current and future pandemics, but there is often also considerable confusion about the actual evolutionary predictions. This may be, in part, due to a historical separation of evolutionary and medical fields, but there is a large, somewhat nuanced body of evidence-supported theory on the evolution of infectious disease. In this review, we synthesize this evolutionary theory in order to provide a framework for clearer understanding of the key principles. Specifically, we discuss the selection acting on zoonotic pathogens' transmission rates and virulence at spillover and during emergence. We explain how the direction and strength of selection during epidemics of emerging zoonotic disease can be understood by a three Ts framework: trade-offs, transmission, and time scales. Virulence and transmission rate may trade-off, but transmission rate is likely to be favoured by selection early in emergence, particularly if maladapted zoonotic pathogens have ‘no-cost’ transmission rate improving mutations available to them. Additionally, the optimal virulence and transmission rates can shift with the time scale of the epidemic. Predicting pathogen evolution, therefore, depends on understanding both the trade-offs of transmission-improving mutations and the time scales of selection.

Funder

Natural Environment Research Council

Philomathia Foundation

Division of Environmental Biology

National Institute of General Medical Sciences

Division of Graduate Education

UC Berkeley SURF-SMART program

Publisher

The Royal Society

Subject

General Agricultural and Biological Sciences,General Environmental Science,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine

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