Universität zu Köln

Angaji, Arman, Veiling, Christoph and Berg, Johannes (2021). Stochastic clonal dynamics and genetic turnover in exponentially growing populations. J. Stat. Mech.-Theory Exp., 2021 (10). BRISTOL: IOP Publishing Ltd. ISSN 1742-5468

Full text not available from this repository.

Abstract

We consider an exponentially growing population of cells undergoing mutations and ask about the effect of reproductive fluctuations (genetic drift) on its long-term evolution. We combine first step analysis with the stochastic dynamics of a birth-death process to analytically calculate the probability that the parent of a given genotype will go extinct. We compare the results with numerical simulations and show how this turnover of genetic clones can be used to infer the rates underlying the population dynamics. Our work is motivated by growing populations of tumour cells, the epidemic spread of viruses, and bacterial growth.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Angaji, Arman UNSPECIFIED UNSPECIFIED UNSPECIFIED Veiling, Christoph UNSPECIFIED UNSPECIFIED UNSPECIFIED Berg, Johannes UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-574279
DOI:	10.1088/1742-5468/ac257e
Journal or Publication Title:	J. Stat. Mech.-Theory Exp.
Volume:	2021
Number:	10
Date:	2021
Publisher:	IOP Publishing Ltd
Place of Publication:	BRISTOL
ISSN:	1742-5468
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language EVOLUTION; MODEL; MUTATIONS; LIMIT; DRIFT Multiple languages Mechanics; Physics, Mathematical Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/57427