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Related Concept Videos

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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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Related Experiment Video

Updated: Jul 6, 2026

Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli
15:00

Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli

Published on: August 18, 2023

Molecular evolution under fitness fluctuations.

Ville Mustonen1, Michael Lässig

  • 1Institut für Theoretische Physik, Universität zu Köln, Zülpicher Str. 77, 50937 Köln, Germany.

Physical Review Letters
|March 21, 2008
PubMed
Summary

Molecular evolution, driven by random fitness changes, shows maximum rates in a crossover regime. Adaptive evolution arises when fitness fluctuations are persistent, linking evolutionary genetics and statistical physics.

Area of Science:

  • Evolutionary genetics
  • Statistical physics
  • Population genetics

Background:

  • Molecular evolution is typically governed by fitness, mutations, and population fluctuations.
  • Fitness itself can be stochastic, with random switches in selection direction at genomic loci.

Purpose of the Study:

  • To investigate molecular evolution under stochastic fitness changes.
  • To analyze the transition from annealed to quenched random fitness variables.
  • To determine conditions for maximum evolutionary rates and emergent adaptive evolution.

Main Methods:

  • Studied evolution with stochastic fitness, involving random selection switches.
  • Analyzed the impact of fluctuation correlation time versus mutation diffusion time.
  • Developed a joint statistical theory of reproductive and fitness fluctuations.

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Measuring Microbial Mutation Rates with the Fluctuation Assay

Published on: November 28, 2019

Related Experiment Videos

Last Updated: Jul 6, 2026

Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli
15:00

Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli

Published on: August 18, 2023

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

Measuring Microbial Mutation Rates with the Fluctuation Assay
07:44

Measuring Microbial Mutation Rates with the Fluctuation Assay

Published on: November 28, 2019

Main Results:

  • The rate of evolution peaks in a crossover regime where time scales are comparable.
  • Adaptive evolution emerges in the quenched fitness regime.
  • Established a connection between evolutionary genetics and statistical physics of disordered systems.

Conclusions:

  • Stochastic fitness fluctuations significantly impact molecular evolution dynamics.
  • The study provides a theoretical framework connecting population genetics and disordered systems physics.
  • Recent genomic data supports the existence of fitness fluctuations.