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Published on: April 5, 2015
Do deleterious mutations act synergistically? Metabolic control theory provides a partial answer
1Laboratory of Mathematical Biology, MRC National Institute for Medical Research, Mill Hill, London, England.
Abstract:
Metabolic control theory is used to derive conditions under which two deleterious mutations affecting the dynamics of a metabolic pathway act synergistically. It is found that two mutations tend to act mostly synergistically when they reduce the activity of the same enzyme. If the two mutations affect different enzymes, the conclusion depends on the way that fitness is determined by aspects of the pathway. The cases analyzed are: selection for (1) maximal flux, (2) maximal equilibrium concentration (pool size) of an intermediate, (3) optimal flux, (4) optimal pool size. The respective types of epistasis found are: (1) antagonistic, (2) partly synergistic, (3-4) synergism is likely to predominate over antagonism. This results in somewhat different predictions concerning the effect of metabolic mutations on fitness in prokaryotes and eukaryotes. The fact that bacteria are largely clonal but have often a mosaic gene structure is consistent with expectations from the model.
Insights
Two deleterious mutations affecting metabolic pathways are synergistic when they impact the same enzyme. The fitness consequences of mutations in different enzymes depend on selection pressures, influencing predictions for prokaryotes and eukaryotes.
Area of Science:
- Biochemistry
- Evolutionary Biology
- Systems Biology
Background:
- Deleterious mutations can impact metabolic pathway dynamics and organismal fitness.
- Understanding the synergistic or antagonistic effects of multiple mutations is crucial for evolutionary and systems biology.
Purpose of the Study:
- To apply Metabolic Control Theory to determine conditions for synergistic effects of two deleterious mutations in metabolic pathways.
- To analyze how different fitness objectives influence the epistasis (gene interaction) between metabolic mutations.
Main Methods:
- Utilized Metabolic Control Theory to model the effects of mutations on metabolic pathways.
- Analyzed four distinct fitness criteria: maximal flux, maximal intermediate concentration, optimal flux, and optimal pool size.
Main Results:
- Mutations reducing the activity of the same enzyme tend to act synergistically.
- Antagonistic epistasis is predicted for maximal flux selection, while synergistic epistasis is more likely for optimal flux or pool size selection.
- Different fitness objectives lead to varied predictions for mutation effects in prokaryotes versus eukaryotes.
Conclusions:
- The interplay between mutation location, fitness objectives, and epistasis shapes the evolutionary impact of metabolic mutations.
- The model's predictions align with observations of mosaic gene structures in bacteria, suggesting clonal populations can accumulate diverse genetic elements.
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