Reconstructing the regulatory network controlling commitment and sporulation in Physarum polycephalum based on hierarchical Petri Net modelling and simulation.
We reconstruct the regulatory network controlling commitment and sporulation of Physarum polycephalum from experimental results using a hierarchical Petri Net-based modelling and simulation framework. The stochastic Petri Net consistently describes the structure and simulates the dynamics of the molecular network as analysed by genetic, biochemical and physiological experiments within a single coherent model. The Petri Net then is extended to simulate time-resolved somatic complementation experiments performed by mixing the cytoplasms of mutants altered in the sporulation response, to systematically explore the network structure and to probe its dynamics. This reverse engineering approach presumably can be employed to explore other molecular or genetic signalling systems where the activity of genes or their products can be experimentally controlled in a time-resolved manner.
Marwan
Wolfgang
W
Science and Technology Research Institute, University of Hertfordshire, Hatfield AL10 9AB, UK. marwan@mpi-magdeburg.mpg.de
Sujatha
Arumugam
A
Starostzik
Christine
C
D000818:Animals; D003198:Computer Simulation; D018507:Gene Expression Regulation, Developmental; D008957:Models, Genetic; D009010:Monte Carlo Method; D016839:Physarum polycephalum / Q000502:physiology*; D012098:Reproduction; D033761:Spores, Protozoan