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Kin selection: A classical approach and a general solution.

M J Wade1

  • 1Department of Biology, University of Chicago, Chicago, Illinois 60637.

Proceedings of the National Academy of Sciences of the United States of America
|December 1, 1978
PubMed
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Genes for social behaviors spread under specific conditions. When social interactions involve multiple families, the evolution of altruism and social behaviors faces significant restrictions, slowing down gene spread.

Area of Science:

  • Evolutionary Biology
  • Population Genetics
  • Behavioral Ecology

Background:

  • Understanding the genetic basis of social behaviors is crucial for evolutionary studies.
  • Previous models explored gene spread using linear fitness functions, but often focused on simpler interaction structures.

Purpose of the Study:

  • To derive the necessary conditions and rate of gene spread for social behaviors.
  • To analyze these conditions across different social group structures (within families, pairs of families, or groups of k families).
  • To investigate the genetic evolution of social behaviors in both diploid and haplodiploid organisms.

Main Methods:

  • Utilized a classical population genetics approach.
  • Employed a single locus, two alleles, random mating, discrete generations model.

Related Experiment Videos

  • Applied a linear fitness function.

    • Main Results:

    • Derived conditions for the spread of genes influencing social behaviors.
    • Demonstrated that social interactions involving multiple families severely restrict the evolution of altruistic and social behaviors.
    • Showed that the rate of evolution for social behaviors is significantly reduced in multi-family groups.

    Conclusions:

    • The structure of social interactions critically impacts the evolution of social behaviors.
    • Interactions beyond single families impose stringent constraints on the evolution of altruism and sociality.
    • Population genetics models can elucidate the evolutionary pathways of complex social traits.