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Related Concept Videos

Mutations in Microorganisms01:18

Mutations in Microorganisms

Mutations are heritable changes in an organism’s genome involving alterations in the base sequence of DNA or RNA. These changes can influence cellular processes and phenotypic traits, potentially transforming the unaltered wild type into a mutant form. Such changes, termed forward mutations, are pivotal in shaping the genetic diversity of organisms.RNA viruses exhibit the highest mutation rates due to the absence of robust proofreading mechanisms during genome replication. In contrast,...
Mismatch Repair01:20

Mismatch Repair

Organisms are capable of detecting and fixing nucleotide mismatches that occur during DNA replication. This sophisticated process requires identifying the new strand and replacing the erroneous bases with correct nucleotides. Mismatch repair is coordinated by many proteins in both prokaryotes and eukaryotes.
The Mutator Protein Family Plays a Key Role in DNA Mismatch Repair
The human genome has more than 3 billion base pairs of DNA per cell. Prior to cell division, that vast amount of genetic...
Mismatch Repair01:36

Mismatch Repair

Overview
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
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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Related Experiment Video

Updated: Jun 14, 2026

Measuring Microbial Mutation Rates with the Fluctuation Assay
07:44

Measuring Microbial Mutation Rates with the Fluctuation Assay

Published on: November 28, 2019

Maximum, minimum, and optimal mutation rates in dynamic environments.

Mark Ancliff1, Jeong-Man Park

  • 1Department of Physics, The Catholic University of Korea, Bucheon, Gyeonggi-do 420-743, Korea.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|April 7, 2010
PubMed
Summary
This summary is machine-generated.

This study analyzes the quasispecies model in changing environments. The optimal mutation rate for survival is independent of genome size, mirroring real-world biological observations.

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Area of Science:

  • Evolutionary dynamics
  • Theoretical biology
  • Population genetics

Background:

  • The quasispecies model describes how populations of replicating molecules, like RNA or DNA, evolve under mutation and selection.
  • Environmental changes can significantly impact evolutionary trajectories and the stability of biological systems.

Purpose of the Study:

  • To investigate the dynamics of the parallel mutation-selection quasispecies model under a periodically changing environment.
  • To derive analytical expressions for survival mutation rates and determine the optimal mutation rate for maximizing mean fitness.

Main Methods:

  • Analysis of the quasispecies model with a sharp-peak fitness function that shifts periodically.
  • Derivation of analytical expressions for minimum and maximum survival mutation rates in the large sequence size limit.
  • Computation of the optimal mutation rate for sustained population dynamics.

Main Results:

  • Analytical expressions for survival mutation rates were derived for large genome sizes.
  • An asymptotic solution shows the quasispecies population periodically adapts to environmental changes.
  • The optimal mutation rate per genome was found to be k/T, independent of genome size.

Conclusions:

  • The study provides a theoretical framework for understanding evolution in fluctuating environments.
  • The finding that optimal mutation rate is genome-size independent aligns with observations in diverse organisms.
  • This model offers insights into the evolutionary strategies of organisms facing environmental instability.