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Genome Biology

, 1:spotlight-20000718-01 | Cite as

Simulated fly segmentation

  • William Wells
Research news
  • 256 Downloads

Keywords

Computer Simulation Free Parameter Diffusion Constant Couple Equation Polarity Gene 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Flies define the front and back of their segments before cellularization using segment polarity genes. In the 13 July Nature von Dassow et al. use a computer simulation to show that the simplest working model of fly segment polarity determination is a robust module insensitive to variation in parameters and initial conditions (Nature 2000, 406:188-192). Their first model fails and requires the addition of some interactions for which only sketchy evidence exists. The revised model, encompassing 136 coupled equations and nearly 50 free parameters such as half-lives, diffusion constants and binding coefficients, is extraordinarily robust. On average a random choice of a given parameter value (within biological norms) has an approximately 90% chance of producing the correct pattern. Furthermore, even a vague pre-pattern suffices to start things off - perhaps not surprising for a network that can also function after cellularization (in beetles) and without the help of pair-rule genes (in locusts).

References

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    Robustness in simple biochemical networks.Google Scholar

Copyright information

© BioMed Central Ltd 2000

Authors and Affiliations

  • William Wells

There are no affiliations available

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