This paper studies the epigenetic process that leads to Angiosperms’ flower architecture (flowering plants). As a case study, we analyze the flower Arabidopsis thaliana’s GRN obtained during cell fate determination in the early stages of the flower’s development, which was constructed in a previous work using experimental data. We start by constructing and analyzing the Epigenetic Forest, a discrete representation of Waddington’s Epigenetic Landscape, obtained as the transition graph of the discrete dynamical system associated with the GRN. Next, we propose an optimization problem to model morphogenesis by defining a biologically meaningful function that accounts for the work involved in cell specialization. Finally, the problem is solved using a genetic algorithm. The optimal solution found by the algorithm correctly recovers the flower’s architecture, as observed in wild type flowers and recovered in other theoretical works. Even though the case study addresses this specific problem, the method is directly applicable to other GRN’s with attractors consisting of equilibrium points only and could be extended to the situation where there are periodic attractors.

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