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Understanding the limits to generalizability of experimental evolutionary models

Author

Listed:
  • Samantha E. Forde

    (University of California, Santa Cruz, California 95064, USA)

  • Robert E. Beardmore

    (Imperial College London)

  • Ivana Gudelj

    (Imperial College London
    Department of Mathematical Sciences and,)

  • Sinan S. Arkin

    (Imperial College London)

  • John N. Thompson

    (University of California, Santa Cruz, California 95064, USA)

  • Laurence D. Hurst

    (University of Bath, Bath BA2 7AY, UK)

Abstract

Microbe models get real Experiments using simple microbial systems can potentially cast light on evolutionary and ecological processes. But are such results generally applicable to real ecosystems? Forde et al. construct mathematical models for how host–parasite co-evolution might affect diversity at different nutrient levels. Using the example of T7 phage and Escherichia coli, they show that many results are insensitive to the biological details of the interaction. But peculiarities of the model system can be predicted and experimentally verified, suggesting that the mathematical models are sound. This coupling of an array of models with experimental verification provides a method to understand which predictions might be model sensitive and which are of more general relevance.

Suggested Citation

  • Samantha E. Forde & Robert E. Beardmore & Ivana Gudelj & Sinan S. Arkin & John N. Thompson & Laurence D. Hurst, 2008. "Understanding the limits to generalizability of experimental evolutionary models," Nature, Nature, vol. 455(7210), pages 220-223, September.
    • Handle: RePEc:nat:nature:v:455:y:2008:i:7210:d:10.1038_nature07152
    DOI: 10.1038/nature07152
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