Wolpert positional information model vs Turing reaction-diffusion patterning
Gradient Parameters
∂c/∂t = D∇²c − kc
Steady: c(x) = S·e^(−x/λ), λ=√(D/k)
Decay length λ = 0.000
Blue width = 0%
Mode: Wolpert gradient
Wolpert (1969): cells read positional information from a morphogen gradient and adopt fates by threshold comparison.
Turing mode shows spontaneous pattern formation from two interacting species (activator-inhibitor).
Blue fate (high conc.)
White fate (mid)
Red fate (low)