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Evolutionary consequences of feedbacks between within-host competition and disease control
Megan A Greischar1, Helen K Alexander2, Farrah Bashey3
1Department of Ecology & Evolutionary Biology, University of Toronto, 25 Willcocks St., Toronto, ON M5S 3B2, Canada.
Evolution, Medicine, and Public Health
|February 27, 2020
Summary
Parasite competition within hosts can be altered by control efforts. This study explores how competition and control influence the evolution of drug resistance and disease severity in parasites.
Area of Science:
- Ecology
- Evolutionary Biology
- Parasitology
Background:
- Parasites frequently compete within a single host organism.
- Control strategies can modify the intensity of this interspecific competition.
- Understanding these dynamics is crucial for managing infectious diseases.
Purpose of the Study:
- To investigate the impact of varying competition levels on parasite evolution.
- To determine how control interventions affect the evolution of parasite traits.
- To analyze the relationship between parasite competition, control, and the emergence of drug resistance and disease severity.
Main Methods:
- Mathematical modeling was employed to simulate parasite population dynamics.
- Evolutionary game theory principles were applied to assess trait evolution.
- Scenarios with different intensities of interspecific competition and control were compared.
Main Results:
- Increased competition generally selects against more virulent or drug-resistant strains when control is absent.
- Control measures, particularly those reducing parasite numbers, can inadvertently favor the evolution of drug resistance.
- The interplay between competition and control creates complex evolutionary trajectories for parasite traits.
Conclusions:
- Control strategies must consider their potential to alter parasite competition and drive the evolution of undesirable traits.
- Interventions aimed at reducing parasite burden may necessitate integrated approaches to prevent resistance.
- The study highlights the need for adaptive management strategies in parasite control programs.
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