# Spot dynamics in a reaction-diffusion model of plant root hair initiation

## TL;DR

This paper models how a plant hormone gradient influences the formation and alignment of root hair initiation sites in Arabidopsis thaliana using a reaction-diffusion system with nonlinear kinetics.

## Contribution

It extends a reaction-diffusion model to include spatial heterogeneity, revealing how auxin gradients guide localized ROP activation patterns in plant cells.

## Key findings

- Auxin gradient causes spatial alignment of active ROP regions.
- Localized patterns of ROPs are influenced by nonlinear reaction kinetics.
- Numerical simulations confirm pattern formation and alignment.

## Abstract

We study pattern formation in a 2-D reaction-diffusion (RD) sub-cellular model characterizing the effect of a spatial gradient of a plant hormone distribution on a family of G-proteins associated with root-hair (RH) initiation in the plant cell Arabidopsis thaliana. The activation of these G-proteins, known as the Rho of Plants (ROPs), by the plant hormone auxin, is known to promote certain protuberances on root hair cells, which are crucial for both anchorage and the uptake of nutrients from the soil. Our mathematical model for the activation of ROPs by the auxin gradient is an extension of the model of Payne and Grierson [PLoS ONE, 12(4), (2009)], and consists of a two-component Schnakenberg-type RD system with spatially heterogeneous coefficients on a 2-D domain. The nonlinear kinetics in this RD system model the nonlinear interactions between the active and inactive forms of ROPs. By using a singular perturbation analysis to study 2-D localized spatial patterns of active ROPs, it is shown that the spatial variations in the nonlinear reaction kinetics, due to the auxin gradient, lead to a slow spatial alignment of the localized regions of active ROPs along the longitudinal midline of the plant cell. Numerical bifurcation analysis, together with time-dependent numerical simulations of the RD system are used to illustrate both 2-D localized patterns in the model, and the spatial alignment of localized structures.