Litcius/Paper detail

The three Ts of virulence evolution during zoonotic emergence

Elisa Visher, Claire Evensen, Sarah Guth, Edith Lai, Marina Norfolk, Carly Rozins, Nina A. Sokolov, Melissa Sui, Michael Boots

2021Proceedings of the Royal Society B Biological Sciences54 citationsDOIOpen Access PDF

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.

Topics & Concepts

VirulenceTransmission (telecommunications)BiologySelection (genetic algorithm)Evolutionary biologyConfusionPandemicMutation rateEvolutionary dynamicsNatural selectionDiseaseGeneticsInfectious disease (medical specialty)Coronavirus disease 2019 (COVID-19)Computer scienceMedicineEnvironmental healthGenePsychologyPopulationTelecommunicationsPsychoanalysisPathologyArtificial intelligenceEvolution and Genetic DynamicsZoonotic diseases and public healthViral Infections and Vectors