Robust controlled formation of Turing patterns in three-component systems

Over the past few decades, formation of Turing patterns in reaction-diffusion systems has been shown to be the underlying process in several examples of biological morphogenesis, confirming Alan Turing's hypothesis, put forward in 1952. However, theoretical studies suggest that Turing patterns formation via classical "short-range activation and long-range inhibition"concept in general can happen within only narrow parameter ranges. This feature seemingly contradicts the accuracy and reproducibility of biological morphogenesis given the stochasticity of biochemical processes and the influence of environmental perturbations. Moreover, it represents a major hurdle to synthetic engineering of Turing patterns. In this work it is shown that this problem can be overcome in some systems under certain sets of interactions between their elements, one of which is immobile and therefore corresponding to a cell-autonomous factor. In such systems Turing patterns formation can be guaranteed by a simple universal control under any values of kinetic parameters and diffusion coefficients of mobile elements. This concept is illustrated by analysis and simulations of a specific three-component system, characterized in absence of diffusion by a presence of codimension two pitchfork-Hopf bifurcation. © 2022 American Physical Society.

Authors
Number of issue
1
Language
English
Status
Published
Number
014209
Volume
105
Year
2022
Organizations
  • 1 Division of Theoretical Physics, P.N. Lebedev Physical Institute, The Russian Academy of Sciences, Moscow, 119991, Russian Federation
  • 2 Nikolsky Mathematical Institute, Peoples Friendship University of Russia (RUDN University), Moscow, 117198, Russian Federation
Keywords
Diffusion; Biochemical process; Environmental perturbations; Parameter range; Reaction diffusion systems; Reproducibilities; Simple++; Stochasticity; Theoretical study; Three-component system; Turing patterns; Hopf bifurcation
Date of creation
06.07.2022
Date of change
06.07.2022
Short link
https://repository.rudn.ru/en/records/article/record/84304/
Share

Other records

Sibgatullin I.R., Korzhuev A.V., Khairullina E.R., Sadykova A.R., Baturina R.V., Chauzova V.
Eurasia Journal of Mathematics, Science and Technology Education. Eurasian Society of Educational Research. Vol. 18. 2022. P. 1-15