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Metabolic models of selection response

P D Keightley1

  • 1Institute of Cell, Animal and Population Biology, University of Edinburgh, Scotland.

Journal of Theoretical Biology
|October 7, 1996
PubMed
Summary
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Genetic dominance and epistasis significantly impact metabolic flux under selection. These genetic effects, arising naturally in metabolic systems, can lead to asymmetrical evolutionary responses and challenge traditional quantitative genetics models.

Area of Science:

  • Metabolic pathway engineering
  • Quantitative genetics
  • Evolutionary biology

Background:

  • Metabolic flux variation is crucial for understanding adaptation and evolution.
  • Genetic factors like dominance and epistasis are inherent in biological systems.
  • Previous models often simplify these complex genetic interactions.

Purpose of the Study:

  • To explore the consequences of directional selection on metabolic flux.
  • To model how genetic variation at enzyme loci influences flux.
  • To evaluate the impact of genetic dominance and epistasis on selection response.

Main Methods:

  • Developing computational models of metabolic pathways.
  • Simulating the segregation of allelic variants affecting enzyme activity.

Related Experiment Videos

  • Analyzing the effects of genetic dominance and epistasis on flux.
  • Investigating responses to divergent artificial selection.

    • Main Results:

    • Dominance and epistasis significantly alter selection patterns on metabolic flux.
    • Null alleles tend to be recessive, affecting multiple pathways.
    • Epistasis is most pronounced in short pathways with large enzyme activity differences.
    • Directional dominance and epistasis can cause asymmetrical selection responses.

    Conclusions:

    • Genetic dominance and epistasis are critical, often opposing, forces in metabolic evolution.
    • These interactions can lead to deviations from the infinitesimal model of quantitative variation.
    • Understanding these genetic effects is key for predicting evolutionary trajectories and for metabolic engineering.