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Related Concept Videos

Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).Mechanisms of Genetic VariationThe original sources of genetic variation are mutations,...
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Natural selection—probably the most well-known evolutionary mechanism—increases the prevalence of traits that enhance survival and reproduction. However, evolution does not merely propagate favorable traits, nor does it always benefit populations.Life is not fair. A deer grazing contentedly in a field can have her meal cut tragically short by a bolt of lightning. If the doomed doe is one of only three in the population, 1/3 of the population’s gene pool is lost. Random events like this can...
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Related Experiment Video

Updated: Jul 6, 2026

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Evolutionary plasticity of genetic interaction networks.

Julia Tischler1, Ben Lehner, Andrew G Fraser

  • 1The Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1HH, UK.

Nature Genetics
|March 26, 2008
PubMed
Summary

Genetic interactions are hard to predict and not conserved across species. Findings suggest yeast genetic interactions do not reliably predict those in humans or other animals.

Area of Science:

  • Genetics
  • Systems Biology
  • Evolutionary Biology

Background:

  • Non-additive genetic interactions are implicated in numerous genetic disorders.
  • Predicting these complex genetic interactions remains a significant challenge in biology.

Purpose of the Study:

  • To investigate the evolutionary conservation of genetic interactions across different species.
  • To determine if genetic interactions identified in yeast can predict those in animals, including humans.

Main Methods:

  • Comparative analysis of genetic interaction datasets between yeast and animal models.
  • Evaluation of conservation patterns for genetic interactions versus gene function and protein-protein interactions.

Main Results:

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  • Genetic interactions are poorly conserved in animals compared to gene functions or protein interactions.
  • Yeast-derived genetic interactions do not serve as direct predictors for genetic interactions in higher eukaryotes.
  • This suggests genetic interactions may not solely represent simple gene or pathway redundancy.
  • Conclusions:

    • Genetic interactions exhibit limited evolutionary conservation across kingdoms.
    • The predictive power of yeast genetic interactions for human genetic disorders is likely restricted.
    • Further research is needed to understand the mechanisms and conservation of complex genetic interactions.