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Control circuits for determination and transdetermination: interpreting positional information in a binary epigenetic

S Kauffman

    Ciba Foundation Symposium
    |January 1, 1975
    PubMed
    Summary
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    Embryonic positional information is interpreted by determination circuits with two states each. This model accurately predicts mutant classes and transdetermination frequencies in Drosophila, suggesting a two-state epigenetic code for development.

    Area of Science:

    • Developmental Biology
    • Genetics
    • Molecular Biology

    Background:

    • Positional information guides embryonic differentiation.
    • Drosophila imaginal discs provide a model for studying determination.
    • Previous models did not fully explain the interpretative commitment in development.

    Purpose of the Study:

    • To propose and test a model for how embryos interpret positional information.
    • To investigate the role of two-state determination circuits in development.
    • To predict mutant classes and transdetermination frequencies in Drosophila.

    Main Methods:

    • Developing a hypothesis based on two-state determination entities.
    • Predicting mutant phenotypes affecting imaginal discs.
    • Analyzing transdetermination frequencies based on proposed boundaries.

    Related Experiment Videos

  • Correlating mitotic wave geometries with developmental boundaries.

    • Main Results:

    • The model correctly predicts complementary mutant classes for Drosophila imaginal discs.
    • Four boundaries on the Drosophila fate map were identified, corresponding to circuit state changes.
    • The model accurately predicted 34 out of 43 relative transdetermination frequencies (p < 10^-4).
    • Mitotic wave geometries during Drosophila development align with predicted developmental boundaries.

    Conclusions:

    • Two-state determination circuits likely interpret positional information in embryos.
    • These circuits may form an epigenetic code, with implications for coding theory.
    • Positional signals, potentially via spatial gradients and mitotic waves, activate these circuits.