Evolution of cooperation in an epithelium.

Voronoi tessellation cooperation epithelial automata epithelium evolutionary graph theory population structure

Journal

Journal of the Royal Society, Interface
ISSN: 1742-5662
Titre abrégé: J R Soc Interface
Pays: England
ID NLM: 101217269

Informations de publication

Date de publication:
29 03 2019
Historique:
entrez: 28 3 2019
pubmed: 28 3 2019
medline: 21 5 2020
Statut: ppublish

Résumé

Cooperation is prevalent in nature, not only in the context of social interactions within the animal kingdom but also on the cellular level. In cancer, for example, tumour cells can cooperate by producing growth factors. The evolution of cooperation has traditionally been studied for well-mixed populations under the framework of evolutionary game theory, and more recently for structured populations using evolutionary graph theory (EGT). The population structures arising due to cellular arrangement in tissues, however, are dynamic and thus cannot be accurately represented by either of these frameworks. In this work, we compare the conditions for cooperative success in an epithelium modelled using EGT, to those in a mechanical model of an epithelium-the Voronoi tessellation (VT) model. Crucially, in this latter model, cells are able to move, and birth and death are not spatially coupled. We calculate fixation probabilities in the VT model through simulation and an approximate analytic technique and show that this leads to stronger promotion of cooperation in comparison with the EGT model.

Identifiants

pubmed: 30913980
doi: 10.1098/rsif.2018.0918
pmc: PMC6451401
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

20180918

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Auteurs

Jessie Renton (J)

Department of Mathematics, University College London , Gower Street, London WC1E 6BT , UK.

Karen M Page (KM)

Department of Mathematics, University College London , Gower Street, London WC1E 6BT , UK.

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Classifications MeSH