The color patterns on the wings of butterflies have been an important model system in evolutionary developmental biology.  Two types of models have been used to study these patterns.

The first type of model employs computational techniques and generalized mechanisms of pattern formation to make predictions about how color patterns will vary as parameters of the model are changed. These generalized mechanisms include diffusion gradient, reaction-diffusion, lateral inhibition, and threshold responses.

The second type of model uses known genetic interactions from Drosophila melanogaster and patterns of candidate gene expression in one of several butterfly species (most often Junonia (Precis) coenia or Bicyclus anynana) to propose specific genetic regulatory hierarchies that appear to be involved in color pattern formation.  This study combines these two approaches using computational techniques to test proposed genetic regulatory hierarchies for the determination of butterfly eyespot foci (also known as border ocelli foci).

Two computer programs, STELLA 8.1 and Delphi 2.0 were used to simulate the determination of eyespot foci.  Both programs revealed weaknesses in a genetic model previously proposed for eyespot focus determination.  On the basis of these simulations, we propose two revised models for eyespot focus determination and identify components of the genetic regulatory hierarchy that are particularly sensitive to changes in model parameter values.  These components may play a key role in the evolution of butterfly eyespots.

Simulations like these may be useful tools for the study of other developmental model systems and reveal similar sensitive components of the relevant genetic regulatory hierarchies.