  A fundamental task in developmental biology is to identify the mechanisms
which drive morphogenesis. In many cases, pattern formation is driven by the
positional information determined by both the gradient of maternal factors and
hard-wired mechanisms embedded in the genome. Alternative mechanisms of
positional information that contribute to patterning are the influence of
signals derived from surrounding tissues. In this paper, we show that the
interplay of geometrical constraints imposed by tissue shapes and hard-wired
mechanisms, computationally implemented by a gene network model, can able to
induce stable complex patterns. The rise of these patterns depends strongly on
the geometrical constraints such as the shape of the surrounding tissues.
