A multilocus perspective on the evolutionary dynamics of multistrain pathogens
Many human pathogens, including malaria, dengue, influenza, Streptococcus pneumoniae , and cytomegalovirus, coexist as multiple genetically distinct strains. Understanding how these multistrain pathogens evolve is of critical importance for forecasting epidemics and predicting the consequences of vaccination. One factor believed to play an important role is naturally acquired immunity. Consequently, a large body of research has sought to predict how acquired immunity molds the genomics of pathogen populations (i.e., what shapes pathogen strain structure). The diversity of existing models has resulted in conflicting evolutionary predictions and has sparked an ongoing debate about which predictions are most broadly applicable. Here, we adopt a multilocus population genetics perspective that unifies the predictions of existing models. We identify three key factors that determine the role of naturally acquired immunity in the evolution of pathogen strain structure: i) the strength and specificity of immune protections, ii) the dynamic immunological landscape, and iii) the number of loci coding for the antigens of the pathogen. Isolating and discussing these three factors clarifies the relationship among previous models of multistrain dynamics, and establishes a solid theoretical foundation for the study of the evolutionary epidemiology of multistrain pathogens.
Authors
- Claudia Bank (ORCID: https://orcid.org/0000-0003-4730-758X)
- David V. McLeod (ORCID: https://orcid.org/0000-0003-2551-7877)
- Sylvain Gandon (ORCID: https://orcid.org/0000-0003-2624-7856)
Institutions
- University of Bern (CH)
- SIB Swiss Institute of Bioinformatics (CH)
- Centre National de la Recherche Scientifique (FR)
- École Pratique des Hautes Études (FR)
- Université de Montpellier (FR)
- Centre d'Écologie Fonctionnelle et Évolutive (FR)
- Institut de Recherche pour le Développement (FR)
- Université de Montréal (CA)
Publication Details
- Journal
- Proceedings of the National Academy of Sciences
- Published
- 2024-10-11
- DOI
- https://doi.org/10.1073/pnas.2401578121
- Citations
- 4
- Primary Topic
- Evolution and Genetic Dynamics
- Type
- article
- Field-Weighted Citation Impact
- 2.20
Funders
- Natural Sciences and Engineering Research Council of Canada