TY  - JOUR
A1  - Renton, J
A1  - Page, KM
KW  - Multiplayer games
KW  -  Cooperation
KW  -  Evolutionary game theory
KW  -  Voronoi tessellation
KW  -  Epithelial automata
JF  - Journal of Theoretical Biology
PB  - Elsevier BV
UR  - https://doi.org/10.1016/j.jtbi.2021.110838
N2  - Cancer cells obtain mutations which rely on the production of diffusible growth factors to confer a fitness benefit. These mutations can be considered cooperative, and studied as public goods games within the framework of evolutionary game theory. The population structure, benefit function and update rule all influence the evolutionary success of cooperators. We model the evolution of cooperation in epithelial cells using the Voronoi tessellation model. Unlike traditional evolutionary graph theory, this allows us to implement global updating, for which birth and death events are spatially decoupled. We compare, for a sigmoid benefit function, the conditions for cooperation to be favoured and/or beneficial for well-mixed and structured populations. We find that when population structure is combined with global updating, cooperation is more successful than if there were local updating or the population were well-mixed. Interestingly, the qualitative behaviour for the well-mixed population and the Voronoi tessellation model is remarkably similar, but the latter case requires significantly lower incentives to ensure cooperation.
ID  - discovery10133379
N1  - © 2021 The Author(s). Published by Elsevier Ltd under a Creative Commons license (https://creativecommons.org/licenses/by/4.0/).
AV  - public
Y1  - 2021/11/07/
VL  - 528
TI  - Cooperative success in epithelial public goods games
ER  -