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Following the Dynamics of Structural Variants in Experimentally Evolved Populations
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Evolutionary bet-hedging in structured populations.

Christopher E Overton1,2, Kieran J Sharkey3

  • 1University of Liverpool, Liverpool, UK. c.overton@liverpool.ac.uk.

Journal of Mathematical Biology
|April 2, 2021
PubMed
Summary
This summary is machine-generated.

Bet-hedging, an evolutionary adaptation, helps species survive environmental changes. New research shows that even small population structures significantly impact bet-hedging against within-generational variation, challenging previous assumptions.

Keywords:
EvolutionEvolutionary graph theoryFitness varianceNetworksStochastic process

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Area of Science:

  • Evolutionary biology
  • Ecology
  • Population genetics

Background:

  • Species face extinction due to environmental fluctuations.
  • Bet-hedging is an evolutionary adaptation to reduce extinction risk.
  • Environmental variation occurs within or between generations.

Purpose of the Study:

  • To investigate the impact of population structure on bet-hedging against within-generational environmental variation.
  • To challenge the assumption that bet-hedging against within-generational variation is negligible in large populations.

Main Methods:

  • Utilized the framework of evolutionary graph theory.
  • Incorporated competition structure into population models.
  • Analyzed the evolutionary process under varying population structures.

Main Results:

  • Within-generational variation significantly impacts the evolutionary process in structured populations of any size.
  • Population structure, not just size, is crucial for bet-hedging dynamics.
  • Findings align with ecological observations contradicting established theory.

Conclusions:

  • Bet-hedging against within-generational variation is significant in structured populations.
  • Evolutionary graph theory provides a framework to study these effects.
  • Further empirical research is warranted in this understudied area.