Forest structure in epigenetic landscapes
This work addresses the problem of understanding robust biological morphogenesis for researchers in developmental biology and systems biology, but it appears incremental as it applies existing methods to a specific case.
The authors tackled the problem of understanding morphogenesis by proposing Epigenetic Forests as a tool to study Genetic Regulatory Networks (GRN) and extract information from them, and as a case study, they analyzed the GRN during cell fate determination in Arabidopsis thaliana, using a genetic algorithm to optimize cell differentiation and correctly recover the flower architecture.
Morphogenesis is the biological process that causes the emergence and changes of patterns (tissues and organs) in living organisms. It is a robust, self-organising mechanism, governed by Genetic Regulatory Networks (GRN), that hasn't been thoroughly understood. In this work we propose Epigenetic Forests as a tool to study morphogenesis and to extract valuable information from GRN. Our method unfolds the richness and structure within the GRN. As a case study, we analyze the GRN during cell fate determination during the early stages of development of the flower Arabidopsis thaliana and its spatial dynamics. By using a genetic algorithm we optimize cell differentiation in our model and correctly recover the architecture of the flower.