Evidence map›Paper›PMID 33475826›Full record

ArticleJournal of mathematical biology2021

Turing conditions for pattern forming systems on evolving manifolds.

Robert A Van Gorder, Václav Klika, Andrew L Krause

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Article in Journal of mathematical biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Periodic pattern formation during embryonic development.Biochemical Society transactions · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. Turing pattern design principles and their robustness.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2021
    Review
  9. Modern perspectives on near-equilibrium analysis of Turing systems.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2021
    Review
  10. Article
  11. Isolating Patterns in Open Reaction-Diffusion Systems.Bulletin of mathematical biology · 2021
    Article
  12. Article
  13. Bespoke Turing Systems.Bulletin of mathematical biology · 2021
    Article
  14. Turing Patterning in Stratified Domains.Bulletin of mathematical biology · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Robert A Van GorderDepartment of Mathematics and Statistics, University of Otago, P.O. Box 56, Dunedin, 9054, New Zealand. rvangorder@maths.otago.ac.nz.ORCID 0000-0002-8506-3961
Václav KlikaDepartment of Mathematics FNSPE, Czech Technical University in Prague, Trojanova 13, 12000, Prague, Czech Republic.
Andrew L KrauseMathematical Institute, University of Oxford, Andrew Wiles Building, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study of pattern-forming instabilities in reaction-diffusion systems on growing or otherwise time-dependent domains arises in a variety of settings, including applications in developmental biology, spatial ecology, and experimental chemistry. Analyzing such instabilities is complicated, as there is a strong dependence of any spatially homogeneous base states on time, and the resulting structure of the linearized perturbations used to determine the onset of instability is inherently non-autonomous. We obtain general conditions for the onset and structure of diffusion driven instabilities in reaction-diffusion systems on domains which evolve in time, in terms of the time-evolution of the Laplace-Beltrami spectrum for the domain and functions which specify the domain evolution. Our results give sufficient conditions for diffusive instabilities phrased in terms of differential inequalities which are both versatile and straightforward to implement, despite the generality of the studied problem. These conditions generalize a large number of results known in the literature, such as the algebraic inequalities commonly used as a sufficient criterion for the Turing instability on static domains, and approximate asymptotic results valid for specific types of growth, or specific domains. We demonstrate our general Turing conditions on a variety of domains with different evolution laws, and in particular show how insight can be gained even when the domain changes rapidly in time, or when the homogeneous state is oscillatory, such as in the case of Turing-Hopf instabilities. Extensions to higher-order spatial systems are also included as a way of demonstrating the generality of the approach.

Indexed as

EcologyDiffusionEvolving spatial domainsPattern formationReaction–diffusionTuring instability

Identifiers

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.