Mutual altruism and long-term optimization of the inclusive fitness in multilocus genetic systems

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Abstract

The dynamics of long-term evolution in a complex genetically-structured population with a flux of random mutations is employed here to study the evolution of mutual altruism between relatives that are encountered repeatedly, where the level of altruism is measured by the risk one is willing to accept in order to save the life of one's relative. It is shown that regardless of the number of loci involved, of the rates of recombination among them, and of the intensity of the selection forces, the long-term dynamics can phenotypically converge only to a level of altruism that maximizes the individual inclusive fitness as it has previously defined by students of the individual approach to evolution. Except for the widely studied case of weak selection, however, the convergence to such a level of altruism is not necessarily generation-to-next monotone. It is further shown that, unlike the case of the one-shot encounter, repeated encounters between relatives allow for more than one level of altruism which may maximize the inclusive fitness, in which case not all such levels of altruism are evolutionarily accessible.

Original languageEnglish
Pages (from-to)126-132
Number of pages7
JournalTheoretical Population Biology
Volume129
DOIs
StatePublished - Oct 2019

Keywords

  • CSS
  • ESS
  • Hamilton's rule
  • Partnership
  • Repeated encounters between relatives
  • The genetic theory of long-term evolution

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