A spontaneously patterning reaction diffusion network, containing an integrated activator inhibitor and substrate depletion mechanism, specifies trichoblast cell fate in Arabidopsis roots
Hayley Mills, George Janes, Anthony Bishopp, Natasha Savage

TL;DR
This study models Arabidopsis root hair patterning using a reaction-diffusion network with activator-inhibitor and substrate depletion, revealing key mechanisms for robust epidermal cell fate determination.
Contribution
It introduces a novel reaction-diffusion model incorporating a negative feedback loop supported by sequence analysis, advancing understanding of root hair patterning.
Findings
The model reproduces wildtype and mutant data accurately.
A negative feedback loop is essential for patterning robustness.
The reaction-diffusion network explains cell fate determination mechanisms.
Abstract
Arabidopsis root hair patterning is controlled by a complex transcription factor network containing positive and negative feedback loops, epidermal cell-cell signalling, and positional signalling from underlying tissue. Recently, several long accepted regulatory interactions within the network have been revised, and while there are extensive data regarding individual components, the complexity of the network has made it difficult to understand how these components combine to ensure correct and robust epidermal patterning. Here, mathematical modelling was used to integrate the wealth of experimental data into a single transcription factor network model. Current understanding of the epidermal patterning network was found to be insufficient to reproduce experimental data, and thus an additional negative feedback loop was hypothesized which enabled the model to reproduce both wildtype and…
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