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Evolution of cooperation in an epithelium

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 popu...

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Detalles Bibliográficos
Autores principales: Renton, Jessie, Page, Karen M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6451401/
https://www.ncbi.nlm.nih.gov/pubmed/30913980
http://dx.doi.org/10.1098/rsif.2018.0918
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author Renton, Jessie
Page, Karen M.
author_facet Renton, Jessie
Page, Karen M.
author_sort Renton, Jessie
collection PubMed
description 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.
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spelling pubmed-64514012019-04-10 Evolution of cooperation in an epithelium Renton, Jessie Page, Karen M. J R Soc Interface Life Sciences–Mathematics interface 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. The Royal Society 2019-03 2019-03-27 /pmc/articles/PMC6451401/ /pubmed/30913980 http://dx.doi.org/10.1098/rsif.2018.0918 Text en © 2019 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Life Sciences–Mathematics interface
Renton, Jessie
Page, Karen M.
Evolution of cooperation in an epithelium
title Evolution of cooperation in an epithelium
title_full Evolution of cooperation in an epithelium
title_fullStr Evolution of cooperation in an epithelium
title_full_unstemmed Evolution of cooperation in an epithelium
title_short Evolution of cooperation in an epithelium
title_sort evolution of cooperation in an epithelium
topic Life Sciences–Mathematics interface
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6451401/
https://www.ncbi.nlm.nih.gov/pubmed/30913980
http://dx.doi.org/10.1098/rsif.2018.0918
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