Methods for Modeling Brassinosteroid-Mediated Signaling in Plant Development

Mathematical modeling of biological processes is a useful tool to draw conclusions that are contained in the data, but not directly reachable, as well as to make predictions and select the most efficient follow-up experiments. Here we outline a method to model systems of a few proteins that interact transcriptionally and/or posttranscriptionally, by representing the system as Ordinary Differential Equations and to study the model dynamics and stationary states. We exemplify this method by focusing on the regulation by the brassinosteroid (BR) signaling component BRASSINOSTEROID INSENSITIVE1 ETHYL METHYL SULFONATE SUPPRESSOR1 (BES1) of BRAVO, a quiescence-regulating transcription factor expressed in the quiescent cells of Arabidopsis thaliana roots. The method to extract the stationary states and the dynamics is provided as a Mathematica code and requires basic knowledge of the Mathematica software to be executed.

Predicting transcriptional circuitry underlying seed coat development

Filling, protection, and dispersal of angiosperm seeds are largely dependent on the development of the maternally derived seed coat. The development of the seed coat in plants such as Arabidopsis thaliana and Glycine max (soybean) is regulated by a complex network of genes and gene products responsible for the establishment and identity of this multicellular structure. Recent studies support the hypothesis that the structure, development, and function of the seed coat are under the control of transcriptional regulators that are specified in space and time. Furthermore, these transcriptional regulators can act in combination to orchestrate the expression of large gene sets. We discuss the underlying transcriptional circuits of the seed coat sub-regions through the interrogation of large-scale datasets, and also provide some ideas on how the identification and analysis of these datasets can be further improved in these two model oilseed systems.