Cheater-altruist synergy in public goods games. (7th October 2018)
- Record Type:
- Journal Article
- Title:
- Cheater-altruist synergy in public goods games. (7th October 2018)
- Main Title:
- Cheater-altruist synergy in public goods games
- Authors:
- Morsky, Bryce
Vural, Dervis Can - Abstract:
- Highlights: Six models of cancer growth with a public goods game under immune system suppression are explored. We show how cheaters are beneficial to the population as a whole. Under a linear benefit function, the cancer cells face a threshold Volunteers Dilemma whereby a threshold of cooperation is required to escape immune system suppression. Under the nonlinear Monod function, optimal growth of the tumor occurs for a mixture of altruists and cheaters. Abstract: Much research has focused on the deleterious effects of free-riding in public goods games, and a variety of mechanisms that suppress cheating behavior. Here we argue that under certain conditions cheating can be beneficial to the population. In a public goods game, cheaters do not pay for the cost of the public goods, yet they receive the benefit. Although this free-riding harms the entire population in the long run, the success of cheaters may aid the population when there is a common enemy that antagonizes both cooperators and cheaters. Here we study models of the interactions between tumor cells, which play a public goods game, and the immune system. We investigate three population dynamics models of cancer growth combined with a model of effector cell dynamics. We show that under a public good with a limiting benefit, the presence of cheaters aids the tumor in overcoming immune system suppression, and explore the parameter space wherein it occurs. The mechanism of this phenomenon is that a polymorphism ofHighlights: Six models of cancer growth with a public goods game under immune system suppression are explored. We show how cheaters are beneficial to the population as a whole. Under a linear benefit function, the cancer cells face a threshold Volunteers Dilemma whereby a threshold of cooperation is required to escape immune system suppression. Under the nonlinear Monod function, optimal growth of the tumor occurs for a mixture of altruists and cheaters. Abstract: Much research has focused on the deleterious effects of free-riding in public goods games, and a variety of mechanisms that suppress cheating behavior. Here we argue that under certain conditions cheating can be beneficial to the population. In a public goods game, cheaters do not pay for the cost of the public goods, yet they receive the benefit. Although this free-riding harms the entire population in the long run, the success of cheaters may aid the population when there is a common enemy that antagonizes both cooperators and cheaters. Here we study models of the interactions between tumor cells, which play a public goods game, and the immune system. We investigate three population dynamics models of cancer growth combined with a model of effector cell dynamics. We show that under a public good with a limiting benefit, the presence of cheaters aids the tumor in overcoming immune system suppression, and explore the parameter space wherein it occurs. The mechanism of this phenomenon is that a polymorphism of cheaters and altruists optimizes the average growth rate of the tumor, which is what determines whether or not the immune response is overcome. Our results give support for a possible synergy between cooperators and cheaters in ecological public goods games. … (more)
- Is Part Of:
- Journal of theoretical biology. Volume 454(2018)
- Journal:
- Journal of theoretical biology
- Issue:
- Volume 454(2018)
- Issue Display:
- Volume 454, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 454
- Issue:
- 2018
- Issue Sort Value:
- 2018-0454-2018-0000
- Page Start:
- 231
- Page End:
- 239
- Publication Date:
- 2018-10-07
- Subjects:
- Cooperation -- Immune-cancer dynamics -- Public goods games -- Volunteer's dilemma
Biology -- Periodicals
Biological Science Disciplines -- Periodicals
Biology -- Periodicals
Biologie -- Périodiques
Theoretische biologie
Biology
Periodicals
571.05 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00225193/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jtbi.2018.06.012 ↗
- Languages:
- English
- ISSNs:
- 0022-5193
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5069.075000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 12382.xml