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

Eco-evolutionary dynamics Evolution Fixation probability Networks

Journal

Journal of theoretical biology
ISSN: 1095-8541
Titre abrégé: J Theor Biol
Pays: England
ID NLM: 0376342

Informations de publication

Date de publication:
07 09 2023
Historique:
received: 10 02 2023
revised: 06 07 2023
accepted: 20 07 2023
medline: 16 8 2023
pubmed: 31 7 2023
entrez: 30 7 2023
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 37517517
pii: S0022-5193(23)00184-4
doi: 10.1016/j.jtbi.2023.111587
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

111587

Informations de copyright

Copyright © 2023 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest There are no conflicts of interest to declare.

Auteurs

Karan Pattni (K)

Department of Mathematical Sciences, University of Liverpool, United Kingdom. Electronic address: karanp@liverpool.ac.uk.

Wajid Ali (W)

Department of Mathematical Sciences, University of Liverpool, United Kingdom.

Mark Broom (M)

Department of Mathematics, City, University of London, United Kingdom.

Kieran J Sharkey (KJ)

Department of Mathematical Sciences, University of Liverpool, United Kingdom.

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Classifications MeSH