Measures of relative fitness of social behaviors in finite structured population models.

Am Nat

Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey 08544.

Published: October 2014

AI Article Synopsis

  • The text discusses how to measure the selective advantage of various behavioral strategies, analyzing methods like fixation probability, gene frequency measures, and inclusive fitness.
  • It highlights that past studies have often assumed all individuals in a population are the same (homogeneous), which may oversimplify the reality.
  • The authors reveal that while fixation probability and gene frequency measures can be equivalent, inclusive fitness does not account for mutations in diverse (heterogeneous) populations, suggesting a need for revised approaches to measuring fitness in biological studies.

Article Abstract

How should we measure the relative selective advantage of different behavioral strategies? The various approaches to this question have fallen into one of the following categories: the fixation probability of a mutant allele in a wild type population, some measures of gene frequency and gene frequency change, and a formulation of the inclusive fitness effect. Countless theoretical studies have examined the relationship between these approaches, and it has generally been thought that, under standard simplifying assumptions, they yield equivalent results. Most of this theoretical work, however, has assumed homogeneity of the population interaction structure--that is, that all individuals are equivalent. We explore the question of selective advantage in a general (heterogeneous) population and show that, although appropriate measures of fixation probability and gene frequency change are equivalent, they are not, in general, equivalent to the inclusive fitness effect. The latter does not reflect effects of selection acting via mutation, which can arise on heterogeneous structures, even for low mutation. Our theoretical framework provides a transparent analysis of the different biological factors at work in the comparison of these fitness measures and suggests that their theoretical and empirical use needs to be revised and carefully grounded in a more general theory.

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Source
http://dx.doi.org/10.1086/677924DOI Listing

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