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Trans gene regulation in adaptive evolution: a genetic algorithm model

N Behera1, V Nanjundiah

  • 1Jawaharlal Nehru Centre for Advanced Scientific Research and Developmental Biology and Genetics Laboratory, Indian Institute of Science, Bangalore 560 012, India.

Journal of Theoretical Biology
|November 5, 1997
PubMed
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Regulatory genes can enhance population adaptation and accelerate evolution by influencing plastic loci. This genetic algorithm study shows regulatory genes synergize with plastic alleles, promoting adaptation.

Area of Science:

  • Evolutionary computation
  • Population genetics
  • Theoretical biology

Background:

  • Previous studies explored evolution in infinite haploid populations using genetic algorithms.
  • Investigated indeterminate (plastic) loci with stochastic on/off functioning probabilities.

Purpose of the Study:

  • Examine the impact of regulatory genes on the transition probabilities of plastic loci.
  • Determine how regulatory genes affect population adaptation and evolutionary rates.

Main Methods:

  • Utilized a genetic algorithm framework to simulate infinite populations of haploid genotypes.
  • Introduced regulatory genes to bias the transition probabilities of plastic loci.

Main Results:

  • Regulatory genes can improve population adaptation and increase evolutionary speed under specific conditions.

Related Experiment Videos

  • Regulatory loci potentiate selection for plasticity, increasing the frequency of plastic alleles.
  • A synergistic effect between regulatory genes and plastic alleles was observed.

    • Conclusions:

    • Regulatory genes can enhance evolutionary adaptation and accelerate the rate of evolution.
    • The presence of regulatory loci favors plasticity, leading to increased adaptation.
    • Phenotypic selection, influenced by regulatory genes, can drive improved adaptation.