POPULATION GENETICS OF INTRASPECIFIC INTERACTIONS

Research project

Description

The general objective of the proposed research is to develop a unified
theory of the evolution of intraspecific interactions built upon the axioms
of population genetics. Most human diseases, pathogens and parasites are
transmitted during social interactions. The theory to be developed studies
the effects of these interactions on the biological fitness of the
individuals and predicts how these effects have evolved. Four specific
projects are proposed all relating to this general theme. First, since
many social groups are small and centered around the family or more
extended kinship ties (this is most certainly true of the recent
evolutionary past of the human species), the effects of finite population
size on the evolution of interactions is to be studied in family-structured
populations. A variety of techniques will be used including computer
simulation and analytic analysis of stochastic models. Second, a
methodology is proposed to study the evolution of specific genetic systems
which are conducive to certain social interactions. Third, since the most
common interactions in most species is mating between the sexes, the
evolution of sexual dimorphism is to be studied by techniques based on
quantitative genetics and the theory of sexual selection. Fourth, it is
proposed that a more unified theory of social evolution can be constructed
around the idea of "interaction structure". The idea of interaction
structure encorporates both interactions in kin-structured populations and
interactions among individuals that can modify their activities through
learning. Both learning and kinship are especially relevant to the
evolution of interactions between humans.
StatusFinished
Effective start/end date8/15/847/31/89

Funding

  • National Institutes of Health
  • National Institutes of Health
  • National Institutes of Health
  • National Institutes of Health

Fingerprint

Pathogens
Stochastic models
Genetics
Population Genetics
Parasites

Keywords

  • Medicine(all)