4.6 Article

Intriguing effects of selection intensity on the evolution of prosocial behaviors

Journal

PLOS COMPUTATIONAL BIOLOGY
Volume 17, Issue 11, Pages -

Publisher

PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pcbi.1009611

Keywords

-

Funding

  1. Simons Foundation (Math+X Grant)
  2. Natural Sciences and Engineering Research Council of Canada (NSERC) [RGPIN-201505795]

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This study examines natural axioms for modeling intermediate selection intensities in evolving populations, showing that there exists a balance between drift and selection that allows for the evolution of prosocial traits. The research demonstrates the sensitivity of evolutionary dynamics to these forces and highlights the importance of considering intermediate selection intensities in evolutionary models. The findings indicate that there can be a sweet spot for the balance of drift and selection in promoting the emergence and spread of altruistic behaviors.
In many models of evolving populations, genetic drift has an outsized role relative to natural selection, or vice versa. While there are many scenarios in which one of these two assumptions is reasonable, intermediate balances between these forces are also biologically relevant. In this study, we consider some natural axioms for modeling intermediate selection intensities, and we explore how to quantify the long-term evolutionary dynamics of such a process. To illustrate the sensitivity of evolutionary dynamics to drift and selection, we show that there can be a sweet spot for the balance of these two forces, with sufficient noise for rare mutants to become established and sufficient selection to spread. This balance allows prosocial traits to evolve in evolutionary models that were previously thought to be unconducive to the emergence and spread of altruistic behaviors. Furthermore, the effects of selection intensity on long-run evolutionary outcomes in these settings, such as when there is global competition for reproduction, can be highly non-monotonic. Although intermediate selection intensities (neither weak nor strong) are notoriously difficult to study analytically, they are often biologically relevant; and the results we report suggest that they can elicit novel and rich dynamics in the evolution of prosocial behaviors. Author summaryTheoretical models of populations have been useful for assessing when and how traits spread, in large part because they are simple. Rather than being used to reproduce empirical data, these idealized models involve relatively few parameters and are utilized to gain a qualitative understanding of what promotes or suppresses a trait. For prosocial traits, which entail a cost to self to help another, one thing that mathematical models often suggest is that competition to reproduce must be localized, meaning an individual must be fitter than just a small subset of the population in order to produce an offspring. We show here that this finding is not robust. Such traits can indeed proliferate when there is global competition for reproduction, which we demonstrate by increasing the degree to which fitness affects birth rates. Since this kind of stronger selection has also been observed empirically, we discuss how it is incorporated into theoretical models more broadly.

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