Eco-evolutionary control of pathogens

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http://hdl.handle.net/10138/319871

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Laessig , M & Mustonen , V 2020 , ' Eco-evolutionary control of pathogens ' , Proceedings of the National Academy of Sciences of the United States of America , vol. 117 , no. 33 , pp. 19694-19704 . https://doi.org/10.1073/pnas.1920263117

Title: Eco-evolutionary control of pathogens
Author: Laessig, Michael; Mustonen, Ville
Contributor: University of Helsinki, Department of Computer Science
Date: 2020-08-18
Language: eng
Number of pages: 11
Belongs to series: Proceedings of the National Academy of Sciences of the United States of America
ISSN: 0027-8424
URI: http://hdl.handle.net/10138/319871
Abstract: Control can alter the eco-evolutionary dynamics of a target pathogen in two ways, by changing its population size and by directed evolution of new functions. Here, we develop a pay-off model of eco-evolutionary control based on strategies of evolution, regulation, and computational forecasting. We apply this model to pathogen control by molecular antibody-antigen binding with a tunable dosage of antibodies. By analytical solu-tion, we obtain optimal dosage protocols and establish a phase diagram with an error threshold delineating parameter regimes of successful and compromised control. The solution identifies few independently measurable fitness parameters that predict the outcome of control. Our analysis shows how optimal con-trol strategies depend on mutation rate and population size of the pathogen, and how monitoring and computational forecast-ing affect protocols and efficiency of control. We argue that these results carry over to more general systems and are elements of an emerging eco-evolutionary control theory.
Subject: biophysics
population genetics
immune systems
control theory
FITNESS MODEL
RESISTANCE
1181 Ecology, evolutionary biology
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