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Following the Dynamics of Structural Variants in Experimentally Evolved Populations
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The two-mutant problem: clonal interference in evolutionary graph theory.

Chris Paley1, Sergei Taraskin, Stephen Elliott

  • 1Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, CB2 1EW UK.

Journal of Chemical Biology
|June 21, 2011
PubMed
Summary
This summary is machine-generated.

Clonal interference in large asexual populations hinders beneficial mutations. Spatial structure significantly impacts mutation fixation probability when multiple beneficial mutations arise simultaneously.

Keywords:
Beneficial mutationsClonal interferenceFixation probabilitySpatial population

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Area of Science:

  • Evolutionary biology
  • Population genetics

Background:

  • Clonal interference, where multiple beneficial mutations compete, is common in large asexual populations.
  • Previous models often assume single mutations, potentially misrepresenting evolutionary dynamics.

Purpose of the Study:

  • To investigate the impact of clonal interference on beneficial mutation spread.
  • To determine the role of population structure in mutation fixation probability under clonal interference.

Main Methods:

  • Simulations of asexual populations with competing beneficial mutations.
  • Analysis of mutation fixation probabilities in structured versus homogeneous populations.

Main Results:

  • Clonal interference significantly inhibits the spread of beneficial mutations.
  • Population spatial structure is a critical factor influencing fixation probability when multiple beneficial mutations occur.

Conclusions:

  • Extrapolating single-mutation dynamics to multi-mutation scenarios is misleading.
  • Population structure plays a key role in the evolutionary fate of beneficial mutations under clonal interference.