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Following the Dynamics of Structural Variants in Experimentally Evolved Populations
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Phenotypic plasticity in evolutionary rescue experiments.

Luis-Miguel Chevin1, Romain Gallet, Richard Gomulkiewicz

  • 1Centre d'Ecologie Fonctionnelle et Evolutive (UMR 5175), 1919 route de Mende, 34293 Montpellier Cedex 5, France. chevin.lm@gmail.com

Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
|December 5, 2012
PubMed
Summary
This summary is machine-generated.

Laboratory experiments offer a viable method to study how populations adapt to new environments through phenotypic plasticity and genetic evolution. This approach helps overcome challenges of studying evolutionary rescue in the wild.

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Area of Science:

  • Evolutionary biology
  • Ecology
  • Genetics

Background:

  • Population persistence in novel environments depends on phenotypic plasticity and the evolution of plasticity.
  • Studying these processes in the wild is difficult due to stochasticity, uncontrolled conditions, and measurement challenges.

Purpose of the Study:

  • To explore the feasibility of using laboratory experiments to test theoretical predictions of population adaptation.
  • To review existing literature on experimental evolution of plasticity and evolutionary rescue.
  • To identify key questions for future research in this area.

Main Methods:

  • Review of literature on experimental evolution of plasticity.
  • Review of literature on laboratory-based evolutionary rescue.
  • Comparison of studies involving microbes and multicellular eukaryotes.

Main Results:

  • Laboratory experiments provide a controlled environment to study adaptation and evolutionary rescue.
  • Experimental evolution of plasticity and evolutionary rescue have been successfully demonstrated in various organisms.
  • Similarities and differences exist in these processes between microbes and multicellular eukaryotes.

Conclusions:

  • Controlled laboratory experiments are a powerful tool for testing evolutionary theory related to population persistence.
  • This framework can validate theoretical predictions and guide future research into under-explored areas of adaptation.