Universität zu Köln

Laessig, Michael and Mustonen, Ville ORCID: 0000-0002-7270-1792 (2020). Eco-evolutionary control of pathogens. Proc. Natl. Acad. Sci. U. S. A., 117 (33). S. 19694 - 19705. WASHINGTON: NATL ACAD SCIENCES. ISSN 0027-8424

Full text not available from this repository.

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.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Laessig, Michael UNSPECIFIED UNSPECIFIED UNSPECIFIED Mustonen, Ville UNSPECIFIED orcid.org/0000-0002-7270-1792 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-323026
DOI:	10.1073/pnas.1920263117/-/DCSupplemental.
Journal or Publication Title:	Proc. Natl. Acad. Sci. U. S. A.
Volume:	117
Number:	33
Page Range:	S. 19694 - 19705
Date:	2020
Publisher:	NATL ACAD SCIENCES
Place of Publication:	WASHINGTON
ISSN:	0027-8424
Language:	English
Faculty:	Faculty of Mathematics and Natural Sciences
Divisions:	Faculty of Mathematics and Natural Sciences > Department of Physics > Institut für Biologische Physik
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language FITNESS MODEL; RESISTANCE Multiple languages Multidisciplinary Sciences Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/32302