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Microbial experiments on adaptive landscapes.

Nick Colegrave1, Angus Buckling

  • 1Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3JT, UK.

Bioessays : News and Reviews in Molecular, Cellular and Developmental Biology
|October 21, 2005
PubMed
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The adaptive landscape metaphor helps predict evolutionary outcomes. Studying microbial evolution in labs reveals how fitness landscapes shape adaptation and the loss of costly traits like resistance.

Area of Science:

  • Evolutionary biology
  • Theoretical biology
  • Microbial genetics

Background:

  • The adaptive landscape is a key metaphor in evolutionary biology, visualizing fitness relative to phenotypes or genotypes.
  • Its shape influences evolutionary trajectories, determining if populations reach predictable endpoints or multiple outcomes.
  • Understanding adaptive landscapes is crucial for applied fields, such as predicting the loss of resistance to control agents like antibiotics.

Purpose of the Study:

  • To explore the predictive power of the adaptive landscape metaphor in evolutionary biology.
  • To investigate how the topology of adaptive landscapes influences evolutionary outcomes.
  • To utilize laboratory microbial populations for real-time observation of evolutionary processes.

Main Methods:

Related Experiment Videos

  • Utilizing the adaptive landscape metaphor by plotting fitness against phenotypes/genotypes.
  • Observing evolutionary processes in real-time using laboratory microbial populations.
  • Analyzing the impact of environmental factors on adaptive landscape topology.

    • Main Results:

    • The shape of the adaptive landscape is critical for predicting evolutionary endpoints.
    • Adaptive landscapes can explain the evolution of trait loss, such as costly resistance, when selection pressure is removed.
    • Laboratory evolution experiments provide valuable insights into adaptive landscape dynamics.

    Conclusions:

    • The adaptive landscape metaphor provides a powerful framework for understanding evolutionary predictability.
    • Microbial evolution studies offer a tractable system for empirically testing hypotheses about adaptive landscapes.
    • Insights from adaptive landscapes have implications for managing resistance in pathogens and pests.