13
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Bespoke Turing Systems

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Reaction–diffusion systems are an intensively studied form of partial differential equation, frequently used to produce spatially heterogeneous patterned states from homogeneous symmetry breaking via the Turing instability. Although there are many prototypical “Turing systems” available, determining their parameters, functional forms, and general appropriateness for a given application is often difficult. Here, we consider the reverse problem. Namely, suppose we know the parameter region associated with the reaction kinetics in which patterning is required—we present a constructive framework for identifying systems that will exhibit the Turing instability within this region, whilst in addition often allowing selection of desired patterning features, such as spots, or stripes. In particular, we show how to build a system of two populations governed by polynomial morphogen kinetics such that the: patterning parameter domain (in any spatial dimension), morphogen phases (in any spatial dimension), and even type of resulting pattern (in up to two spatial dimensions) can all be determined. Finally, by employing spatial and temporal heterogeneity, we demonstrate that mixed mode patterns (spots, stripes, and complex prepatterns) are also possible, allowing one to build arbitrarily complicated patterning landscapes. Such a framework can be employed pedagogically, or in a variety of contemporary applications in designing synthetic chemical and biological patterning systems. We also discuss the implications that this freedom of design has on using reaction–diffusion systems in biological modelling and suggest that stronger constraints are needed when linking theory and experiment, as many simple patterns can be easily generated given freedom to choose reaction kinetics.

          Related collections

          Most cited references85

          • Record: found
          • Abstract: not found
          • Article: not found

          The Chemical Basis of Morphogenesis

          A Turing (1952)
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            A theory of biological pattern formation

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Polyamide membranes with nanoscale Turing structures for water purification

                Bookmark

                Author and article information

                Contributors
                woolleyt1@cardiff.ac.uk
                Journal
                Bull Math Biol
                Bull Math Biol
                Bulletin of Mathematical Biology
                Springer US (New York )
                0092-8240
                1522-9602
                19 March 2021
                19 March 2021
                2021
                : 83
                : 5
                : 41
                Affiliations
                [1 ]GRID grid.5600.3, ISNI 0000 0001 0807 5670, Cardiff School of Mathematics, , Cardiff University, ; Senghennydd Road, Cardiff, CF24 4AG UK
                [2 ]GRID grid.4991.5, ISNI 0000 0004 1936 8948, Mathematical Institute, , University of Oxford, ; Andrew Wiles Building, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG UK
                Author information
                http://orcid.org/0000-0001-6225-5365
                Article
                870
                10.1007/s11538-021-00870-y
                7979634
                33740210
                d0797a45-5621-49a3-a9fa-f23c2b447de6
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 7 September 2020
                : 11 February 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100000268, Biotechnology and Biological Sciences Research Council;
                Award ID: BB/N006097/1
                Award Recipient :
                Categories
                Special Issue: Celebrating J. D. Murray
                Custom metadata
                © Society for Mathematical Biology 2021

                Quantitative & Systems biology
                turing patterns,identifiability
                Quantitative & Systems biology
                turing patterns, identifiability

                Comments

                Comment on this article