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Related Experiment Videos

Testing optimality with experimental evolution: lysis time in a bacteriophage.

Richard H Heineman1, James J Bull

  • 1Section of Integrative Biology, University of Texas, Austin, Texas 78712, USA. heineman@mail.utexas.edu

Evolution; International Journal of Organic Evolution
|June 30, 2007
PubMed
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Optimality models predict evolution, but experimental evolution of bacteriophage T7 lysis time showed genetic details matter. Genetic evolution occurred without phenotypic change, suggesting models fail due to trade-off violations, not mutation scarcity.

Area of Science:

  • Evolutionary biology
  • Virology
  • Genetics

Background:

  • Optimality models simplify genetic complexities into trade-offs to predict evolved phenotypes.
  • Criticism of these models often centers on their neglect of genetic details, a point difficult to resolve.
  • Experimental evolution offers a method to test the importance of genetic details by evolving traits with existing optimality models.

Purpose of the Study:

  • To experimentally test the predictive power of optimality models by evolving bacteriophage T7 lysis time.
  • To investigate the role of genetic details versus trade-offs in evolutionary adaptation.
  • To determine if genetic evolution aligns with predicted phenotypic optima under varying environmental conditions.

Main Methods:

  • Experimental evolution of bacteriophage T7 (a virus of Escherichia coli) focusing on lysis time.

Related Experiment Videos

  • Manipulating environmental conditions (bacterial host density) to favor either early or late lysis.
  • Analyzing genetic and phenotypic changes in evolved phage populations.

    • Main Results:

    • Bacteriophage T7 evolved close to the predicted optimum in conditions favoring early lysis.
    • In conditions favoring late lysis, T7 showed limited phenotypic evolution towards the optimum, with one case exhibiting genetic evolution but no phenotypic change.
    • Evolved lysis times were generally closer to ancestral values than predicted, indicating deviations from the model's expectations.
    • Evolution of a trait outside the postulated trade-off was observed.

    Conclusions:

    • Optimality models may fail to accurately predict evolution due to violations of assumed trade-offs, rather than a lack of available mutations.
    • Genetic details and constraints play a significant role in evolutionary trajectories, even when optimality predicts a clear path.
    • Experimental evolution provides crucial insights into the limitations of simplified evolutionary models.