Eco-evolutionary dynamics in finite network-structured populations with migration.

Pattni, Karan, Ali, Wajid ORCID: 0000-0001-5533-1315, Broom, Mark and Sharkey, Kieran J ORCID: 0000-0002-7210-9246 (2023) Eco-evolutionary dynamics in finite network-structured populations with migration. Journal of theoretical biology, 572. p. 111587. ISSN 0022-5193, 1095-8541

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Abstract

We consider the effect of network structure on the evolution of a population. Models of this kind typically consider a population of fixed size and distribution. Here we consider eco-evolutionary dynamics where population size and distribution can change through birth, death and migration, all of which are separate processes. This allows complex interaction and migration behaviours that are dependent on competition. For migration, we assume that the response of individuals to competition is governed by tolerance to their group members, such that less tolerant individuals are more likely to move away due to competition. We look at the success of a mutant in the rare mutation limit for the complete, cycle and star networks. Unlike models with fixed population size and distribution, the distribution of the individuals per site is explicitly modelled by considering the dynamics of the population. This in turn determines the mutant appearance distribution for each network. Where a mutant appears impacts its success as it determines the competition it faces. For low and high migration rates the complete and cycle networks have similar mutant appearance distributions resulting in similar success levels for an invading mutant. A higher migration rate in the star network is detrimental for mutant success because migration results in a crowded central site where a mutant is more likely to appear.

Item Type:	Article
Uncontrolled Keywords:	Evolution, Eco-evolutionary dynamics, Fixation probability, Networks
Divisions:	Faculty of Science & Engineering > School of Physical Sciences
Depositing User:	Symplectic Admin
Date Deposited:	07 Aug 2023 07:35
Last Modified:	22 May 2026 15:08
DOI:	10.1016/j.jtbi.2023.111587
Open Access URL:	https://doi.org/10.1016/j.jtbi.2023.111587
Related Websites:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3172056
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