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Reaction-diffusion patterns in plant tip morphogenesis: bifurcations on spherical caps.

Wayne Nagata1, Hamid R Z Zangeneh, David M Holloway

  • 1Department of Mathematics, University of British Columbia, Vancouver, British Columbia, Canada, V6T 1Z2, nagata@math.ubc.ca.

Bulletin of Mathematical Biology
|September 28, 2013
PubMed
Summary
This summary is machine-generated.

This study models plant tip development using the Brusselator reaction-diffusion model. It shows how tip shape and chemical concentrations influence cotyledon pattern formation in conifer embryos.

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Area of Science:

  • Developmental biology
  • Mathematical modeling
  • Chemical kinetics

Background:

  • Plant organogenesis involves complex pattern formation.
  • Reaction-diffusion systems, like the Brusselator, are key models for biological pattern generation.
  • Understanding early plant development, particularly cotyledon formation, is crucial.

Purpose of the Study:

  • To investigate pattern formation in developing plant tips using a chemical reaction-diffusion model.
  • To explore the influence of geometric factors (tip flatness, radius) and chemical concentrations on pattern development.
  • To model the specific case of cotyledon formation in conifer embryos.

Main Methods:

  • Utilized the Brusselator reaction-diffusion model.
  • Employed a family of spherical cap domains to represent developing plant tips.
  • Analyzed the system's behavior, focusing on pitchfork bifurcations.

Main Results:

  • Demonstrated that pattern formation depends significantly on tip flatness, radius, and precursor concentrations.
  • Showcased how the Brusselator model in spherical cap domains can generate patterns mimicking cotyledon formation.
  • Identified parameters leading to supercritical pitchfork bifurcations corresponding to observed cotyledon patterns.

Conclusions:

  • The Brusselator model effectively simulates cotyledon pattern formation in conifer embryos.
  • Geometric and chemical factors play critical roles in early plant development patterns.
  • This modeling approach provides insights into the mechanisms of plant morphogenesis.