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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,...
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
Mutations01:39

Mutations

Overview
Mutations01:35

Mutations

Mutations are changes in the sequence of DNA. These changes can occur spontaneously or they can be induced by exposure to environmental factors. Mutations can be characterized in a number of different ways: whether and how they alter the amino acid sequence of the protein, whether they occur over a small or large area of DNA, and whether they occur in somatic cells or germline cells.
Chromosomal Alterations Are Large-Scale Mutations
While point mutations are changes in a single nucleotide in...

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Related Experiment Video

Updated: Jun 3, 2026

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
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Published on: February 3, 2023

How mutation affects evolutionary games on graphs.

Benjamin Allen1, Arne Traulsen, Corina E Tarnita

  • 1Program for Evolutionary Dynamics, Department of Mathematics, Harvard University, One Brattle Square, Cambridge, MA 02138, United States. benjcallen@gmail.com

Journal of Theoretical Biology
|April 9, 2011
PubMed
Summary
This summary is machine-generated.

Mutation

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Area of Science:

  • Evolutionary game theory
  • Mathematical biology
  • Network science

Background:

  • Population structure and mutation rates influence evolutionary dynamics.
  • Spatial structure promotes cooperation by clustering strategies.
  • Mutation can disrupt this cooperative clustering.

Purpose of the Study:

  • To analyze the impact of mutation on evolutionary clustering in graphs.
  • To derive exact conditions for the evolution of cooperation under mutation.
  • To explore the interplay between graph topology and mutation rate.

Main Methods:

  • Analysis of coalescing random walks using generating functions.
  • Derivation of exact identity-by-descent (IBD) probabilities.
  • Characterization of spatial assortment on lattices and Cayley trees.

Main Results:

  • High mutation rates reduce cooperator clustering, hindering cooperation.
  • Graph topology and mutation rate have dual effects on strategy evolution.
  • Exact conditions for strategy evolution were derived using IBD probabilities.

Conclusions:

  • Mutation plays a critical role in the evolution of cooperation on graphs.
  • Understanding mutation's effect is key for predicting evolutionary outcomes.
  • The model applies to both genetic evolution and social learning processes.