A selection criterion for patterns in reaction-diffusion systems

被引:6
|
作者
Marquez-Lago, Tatiana T. [1 ,2 ,3 ]
Padilla, Pablo [4 ]
机构
[1] Univ New Mexico, Dept Math, Albuquerque, NM 87131 USA
[2] Univ New Mexico, Ctr Spatiotemporal Modeling Cell Signaling STMC, Albuquerque, NM 87131 USA
[3] Okinawa Inst Sci & Technol, Integrat Syst Biol Unit, Kunigami, Okinawa 9040412, Japan
[4] Univ Nacl Autonoma Mexico, IIMAS, Mexico City 04510, DF, Mexico
关键词
MODEL; EQUATIONS; MECHANISM; SYMMETRY; STRIPES; SPOTS;
D O I
10.1186/1742-4682-11-7
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
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页数:17
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