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A selection criterion for patterns in reaction–diffusion systems
BACKGROUND: Alan Turing’s work in Morphogenesis has received wide attention during the past 60 years. The central idea behind his theory is that two chemically interacting diffusible substances are able to generate stable spatial patterns, provided certain conditions are met. Ever since, extensive w...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3925790/ https://www.ncbi.nlm.nih.gov/pubmed/24476200 http://dx.doi.org/10.1186/1742-4682-11-7 |
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author | Marquez-Lago, Tatiana T Padilla, Pablo |
author_facet | Marquez-Lago, Tatiana T Padilla, Pablo |
author_sort | Marquez-Lago, Tatiana T |
collection | PubMed |
description | BACKGROUND: Alan Turing’s work in Morphogenesis has received wide attention during the past 60 years. The central idea behind his theory is that two chemically interacting diffusible substances are able to generate stable spatial patterns, provided certain conditions are met. Ever since, extensive work on several kinds of pattern-generating reaction diffusion systems has been done. Nevertheless, prediction of specific patterns is far from being straightforward, and a great deal of interest in deciphering how to generate specific patterns under controlled conditions prevails. RESULTS: Techniques allowing one to predict what kind of spatial structure will emerge from reaction–diffusion systems remain unknown. In response to this need, we consider a generalized reaction diffusion system on a planar domain and provide an analytic criterion to determine whether spots or stripes will be formed. Our criterion is motivated by the existence of an associated energy function that allows bringing in the intuition provided by phase transitions phenomena. CONCLUSIONS: Our criterion is proved rigorously in some situations, generalizing well-known results for the scalar equation where the pattern selection process can be understood in terms of a potential. In more complex settings it is investigated numerically. Our work constitutes a first step towards rigorous pattern prediction in arbitrary geometries/conditions. Advances in this direction are highly applicable to the efficient design of Biotechnology and Developmental Biology experiments, as well as in simplifying the analysis of morphogenetic models. |
format | Online Article Text |
id | pubmed-3925790 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-39257902014-03-04 A selection criterion for patterns in reaction–diffusion systems Marquez-Lago, Tatiana T Padilla, Pablo Theor Biol Med Model Research BACKGROUND: Alan Turing’s work in Morphogenesis has received wide attention during the past 60 years. The central idea behind his theory is that two chemically interacting diffusible substances are able to generate stable spatial patterns, provided certain conditions are met. Ever since, extensive work on several kinds of pattern-generating reaction diffusion systems has been done. Nevertheless, prediction of specific patterns is far from being straightforward, and a great deal of interest in deciphering how to generate specific patterns under controlled conditions prevails. RESULTS: Techniques allowing one to predict what kind of spatial structure will emerge from reaction–diffusion systems remain unknown. In response to this need, we consider a generalized reaction diffusion system on a planar domain and provide an analytic criterion to determine whether spots or stripes will be formed. Our criterion is motivated by the existence of an associated energy function that allows bringing in the intuition provided by phase transitions phenomena. CONCLUSIONS: Our criterion is proved rigorously in some situations, generalizing well-known results for the scalar equation where the pattern selection process can be understood in terms of a potential. In more complex settings it is investigated numerically. Our work constitutes a first step towards rigorous pattern prediction in arbitrary geometries/conditions. Advances in this direction are highly applicable to the efficient design of Biotechnology and Developmental Biology experiments, as well as in simplifying the analysis of morphogenetic models. BioMed Central 2014-01-29 /pmc/articles/PMC3925790/ /pubmed/24476200 http://dx.doi.org/10.1186/1742-4682-11-7 Text en Copyright © 2014 Marquez-Lago and Padilla; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Marquez-Lago, Tatiana T Padilla, Pablo A selection criterion for patterns in reaction–diffusion systems |
title | A selection criterion for patterns in reaction–diffusion systems |
title_full | A selection criterion for patterns in reaction–diffusion systems |
title_fullStr | A selection criterion for patterns in reaction–diffusion systems |
title_full_unstemmed | A selection criterion for patterns in reaction–diffusion systems |
title_short | A selection criterion for patterns in reaction–diffusion systems |
title_sort | selection criterion for patterns in reaction–diffusion systems |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3925790/ https://www.ncbi.nlm.nih.gov/pubmed/24476200 http://dx.doi.org/10.1186/1742-4682-11-7 |
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