Turing-like mechanism in a stochastic reaction-diffusion model recreates three dimensional vascular patterning of plant stems
Abstract
A stochastic reaction-diffusion model of plant vascular bundle patterning was developed to highlight a potential mechanism of three dimensional patterning through Turing pattern formation coupled with longitudinal efflux of a regulatory molecule. The HBPM model recreated three dimensional plant stem vascular patterning using a Turing-like mechanism in a stochastic, reaction-diffusion framework.
Used in syntheses
Questions this source addresses
- How can chemicals that react and spread create a pattern?
- How do cells know where they are in a growing body?
- How does a living thing know what shape to grow into?
- How does auxin shape a growing plant?
- How do changes in the diffusion rates of activator and substrate molecules alter the number and size of simulated vascular bundles?
- How does coupling a Turing-like reaction-diffusion instability with longitudinal efflux of a regulatory molecule generate three-dimensional vascular bundle patterns in plant stems?
- How does introducing stochastic fluctuations into the reaction-diffusion framework affect the robustness of vascular pattern formation compared to deterministic Turing models?
- Why does vascular bundle formation fail below a threshold width of parenchymatous tissue, and what does this imply about the evolutionary loss of vascular features in smaller tissue geometries?