Journal
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
Volume 368, Issue 1614, Pages -Publisher
ROYAL SOC
DOI: 10.1098/rstb.2012.0333
Keywords
emerging diseases; pathogen evolution; adaptation; branching processes
Categories
Funding
- NSF [EF-0928690, EF-0928987]
- De Logi Chair in Biological Sciences
- Science and Technology Directorate, Department of Homeland Security
- Fogarty International Center, National Institutes of Health
- NIGMS [T32GM008185]
- Direct For Biological Sciences
- Emerging Frontiers [0928690, 0928987] Funding Source: National Science Foundation
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When pathogens encounter a novel environment, such as a new host species or treatment with an antimicrobial drug, their fitness may be reduced so that adaptation is necessary to avoid extinction. Evolutionary emergence is the process by which new pathogen strains arise in response to such selective pressures. Theoretical studies over the last decade have clarified some determinants of emergence risk, but have neglected the influence of fitness on evolutionary rates and have not accounted for the multiple scales at which pathogens must compete successfully. We present a cross-scale theory for evolutionary emergence, which embeds a mechanistic model of within-host selection into a stochastic model for emergence at the population scale. We explore how fitness landscapes at within-host and between-host scales can interact to influence the probability that a pathogen lineage will emerge successfully. Results show that positive correlations between fitnesses across scales can greatly facilitate emergence, while cross-scale conflicts in selection can lead to evolutionary dead ends. The local genotype space of the initial strain of a pathogen can have disproportionate influence on emergence probability. Our cross-scale model represents a step towards integrating laboratory experiments with field surveillance data to create a rational framework to assess emergence risk.
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