Literature DB >> 11901681

Complex morphogenesis of surfaces: theory and experiment on coupling of reaction-diffusion patterning to growth.

L G Harrison1, S Wehner, D M Holloway.   

Abstract

Reaction-diffusion theory for pattern formation is considered in relation to processes of biological development in which there is continuous growth and shape change as each new pattern forms. This is particularly common in the plant kingdom, for both unicellular and multicellular organisms. In addition to the feedbacks in the chemical dynamics, there is then another loop linking size and shape changes with the reaction-diffusion patterning of growth controllers in the growing region. In studies by computation, the codes must incorporate, alongside the usual solvers of the partial differential dynamic equations, a versatile growth code, to express any kind of shape change. We have found that regulation of shape change in particular ways (e.g. to make narrow-angle branchings) demands new features in our chemical mechanisms. Our growth algorithm is for a surface growing tangentially, but moving outward and changing shape to accommodate the extra area. This is potentially applicable both to the tunica layer of multicellular plant meristems and to the growing tip of the cell surface, e.g. in the morphogenesis of single-celled chlorophyte algae which display branching processes: whorl formation in Acetabularia (Dasycladales) and repeated dichotomous branching in Micrasterias (Desmidiaceae). For computational studies, a hemispherical shell is a reasonable idealization of the initial shape. We describe results of two types of study: (1) Pattern formation by three reaction-diffusion models, with contrasted nonlinearities, on the hemispherical shell, particularly to find conditions for robust formation of annular pattern or pattern for dichotomous branching, both of which are common in plants. (2) Sequential dichotomous branchings in a system growing and changing in shape from the hemispherical start.

Entities:  

Year:  2001        PMID: 11901681     DOI: 10.1039/b103246c

Source DB:  PubMed          Journal:  Faraday Discuss        ISSN: 1359-6640            Impact factor:   4.008


  9 in total

1.  Pattern selection in plants: coupling chemical dynamics to surface growth in three dimensions.

Authors:  David M Holloway; Lionel G Harrison
Journal:  Ann Bot       Date:  2007-11-28       Impact factor: 4.357

2.  A Lagrangian particle method for reaction-diffusion systems on deforming surfaces.

Authors:  Michael Bergdorf; Ivo F Sbalzarini; Petros Koumoutsakos
Journal:  J Math Biol       Date:  2009-12-18       Impact factor: 2.259

3.  Two-stage patterning dynamics in conifer cotyledon whorl morphogenesis.

Authors:  David M Holloway; Ignacio Rozada; Joshua J H Bray
Journal:  Ann Bot       Date:  2018-03-05       Impact factor: 4.357

4.  Bi-modal reprogramming of cell cycle by MiRNA-4673 amplifies human neurogenic capacity.

Authors:  Ramin Farahani; Saba Rezaei-Lotfi; Mary Simonian; Neil Hunter
Journal:  Cell Cycle       Date:  2019-04-14       Impact factor: 4.534

5.  A reaction-diffusion model of human brain development.

Authors:  Julien Lefèvre; Jean-François Mangin
Journal:  PLoS Comput Biol       Date:  2010-04-22       Impact factor: 4.475

6.  Spatially quantitative control of the number of cotyledons in a clonal population of somatic embryos of hybrid larch Larix x leptoeuropaea.

Authors:  Lionel G Harrison; Patrick Von Aderkas
Journal:  Ann Bot       Date:  2004-04       Impact factor: 4.357

7.  A biochemical hypothesis on the formation of fingerprints using a turing patterns approach.

Authors:  Diego A Garzón-Alvarado; Angelica M Ramírez Martinez
Journal:  Theor Biol Med Model       Date:  2011-06-28       Impact factor: 2.432

8.  Cooperativity to increase Turing pattern space for synthetic biology.

Authors:  Luis Diambra; Vivek Raj Senthivel; Diego Barcena Menendez; Mark Isalan
Journal:  ACS Synth Biol       Date:  2014-08-22       Impact factor: 5.110

9.  Lily Pollen Tubes Pulse According to a Simple Spatial Oscillator.

Authors:  Milenka Van Hemelryck; Roberto Bernal; Yaroslav Ispolatov; Jacques Dumais
Journal:  Sci Rep       Date:  2018-08-14       Impact factor: 4.379

  9 in total

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