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Related Experiment Videos

Variable segment number in centipedes: population genetics meets evolutionary developmental biology.

W Arthur1

  • 1Ecology Centre, University of Sunderland, Sunderland SR1 3SD, UK. wallace.arthur@sunderland.ac.uk

Evolution & Development
|April 28, 2001
PubMed
Summary

Geophilomorph centipedes offer a novel model for studying evolutionary developmental biology. Their variable segment number provides insights into intraspecific variation and selective pressures in development.

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Area of Science:

  • Evolutionary developmental biology
  • Population genetics
  • Animal morphology

Background:

  • Population genetics typically studies intraspecific variation in non-structural traits.
  • Evolutionary developmental biology focuses on structure/ontogeny, often using interspecific comparisons.
  • A model system for intraspecific variation in development is needed.

Purpose of the Study:

  • To propose geophilomorph centipede segment number as a model system.
  • To investigate intraspecific variation in segment number within geophilomorphs.
  • To explore the genetic basis and selective importance of segment number variation.

Main Methods:

  • Analyzing existing data on segment number variation in geophilomorph species.
  • Comparing segment number variability across different centipede orders (geophilomorphs, scutigeromorphs, lithobiomorphs, scolopendromorphs).

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  • Statistical analysis to assess the significance of segment number variation.

    • Main Results:

    • Segment number is polymorphic in geophilomorph centipedes, unlike other orders where it is fixed.
    • Statistical analysis suggests segment number variation may be under selective pressure.
    • This variation is unlikely to be solely a consequence of developmental limitations.

    Conclusions:

    • Geophilomorph centipede segment number is a viable model for studying intraspecific variation in development.
    • The observed variation indicates potential selective importance of segment number.
    • This system can bridge population genetics and evolutionary developmental biology.