Literature DB >> 21347815

The dynamics of Turing patterns for morphogen-regulated growing domains with cellular response delays.

S Seirin Lee1, E A Gaffney, R E Baker.   

Abstract

Since its conception in 1952, the Turing paradigm for pattern formation has been the subject of numerous theoretical investigations. Experimentally, this mechanism was first demonstrated in chemical reactions over 20 years ago and, more recently, several examples of biological self-organisation have also been implicated as Turing systems. One criticism of the Turing model is its lack of robustness, not only with respect to fluctuations in the initial conditions, but also with respect to the inclusion of delays in critical feedback processes such as gene expression. In this work we investigate the possibilities for Turing patterns on growing domains where the morphogens additionally regulate domain growth, incorporating delays in the feedback between signalling and domain growth, as well as gene expression. We present results for the proto-typical Schnakenberg and Gierer-Meinhardt systems: exploring the dynamics of these systems suggests a reconsideration of the basic Turing mechanism for pattern formation on morphogen-regulated growing domains as well as highlighting when feedback delays on domain growth are important for pattern formation.

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Year:  2011        PMID: 21347815     DOI: 10.1007/s11538-011-9634-8

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  4 in total

1.  Turing's model for biological pattern formation and the robustness problem.

Authors:  Philip K Maini; Thomas E Woolley; Ruth E Baker; Eamonn A Gaffney; S Seirin Lee
Journal:  Interface Focus       Date:  2012-02-08       Impact factor: 3.906

2.  Spatiotemporal dynamics of a reaction-diffusion model of pollen tube tip growth.

Authors:  Chenwei Tian; Qingyan Shi; Xinping Cui; Jingzhe Guo; Zhenbiao Yang; Junping Shi
Journal:  J Math Biol       Date:  2019-07-06       Impact factor: 2.259

Review 3.  Modern perspectives on near-equilibrium analysis of Turing systems.

Authors:  Andrew L Krause; Eamonn A Gaffney; Philip K Maini; Václav Klika
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2021-11-08       Impact factor: 4.226

Review 4.  Turing pattern design principles and their robustness.

Authors:  Sean T Vittadello; Thomas Leyshon; David Schnoerr; Michael P H Stumpf
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2021-11-08       Impact factor: 4.226

  4 in total

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