IDEAS home Printed from https://ideas.repec.org/a/plo/pcbi00/1006259.html
   My bibliography  Save this article

Post-Turing tissue pattern formation: Advent of mechanochemistry

Author

Listed:
  • Felix Brinkmann
  • Moritz Mercker
  • Thomas Richter
  • Anna Marciniak-Czochra

Abstract

Chemical and mechanical pattern formation is fundamental during embryogenesis and tissue development. Yet, the underlying molecular and cellular mechanisms are still elusive in many cases. Most current theories assume that tissue development is driven by chemical processes: either as a sequence of chemical patterns each depending on the previous one, or by patterns spontaneously arising from specific chemical interactions (such as “Turing-patterns”). Within both theories, mechanical patterns are usually regarded as passive by-products of chemical pre-patters. However, several experiments question these theories, and an increasing number of studies shows that tissue mechanics can actively influence chemical patterns during development. In this study, we thus focus on the interplay between chemical and mechanical processes during tissue development. On one hand, based on recent experimental data, we develop new mechanochemical simulation models of evolving tissues, in which the full 3D representation of the tissue appears to be critical for obtaining a realistic mechanochemical behaviour. The presented modelling approach is flexible and numerically studied using state of the art finite element methods. Thus, it may serve as a basis to combine simulations with new experimental methods in tissue development. On the other hand, we apply the developed approach and demonstrate that even simple interactions between tissue mechanics and chemistry spontaneously lead to robust and complex mechanochemical patterns. Especially, we demonstrate that the main contradictions arising in the framework of purely chemical theories are naturally and automatically resolved using the mechanochemical patterning theory.Author summary: During embryogenesis, biological tissues gradually increase their complexity by self-organised creation of diverse chemical and mechanical patterns. Detailed mechanisms driving and controlling these patterns are not well understood. Previous theories mostly assume that these patterns are driven by chemical processes. Based on these theories, mechanical patterns are usually considered being mainly determined by chemical pre-patterns. However, experimental evidence for these theories is sparse, and several inconsistencies have been discovered. Furthermore, an increasing amount of data shows that tissue mechanics plays an important role in pattern formation. In this study, we present 3D computer simulations of evolving tissues to investigate the capacity of mechanochemical interactions for pattern formation. We show that even simple interactions between tissue mechanics and tissue chemistry spontaneously lead to robust chemical and mechanical pattern formation. We additionally demonstrate that main contradictions arising in the framework of purely chemical theories are naturally and automatically resolved using the mechanochemical patterning theory. The presented modelling approach can be used to combine simulations with recent experimental developments, to help unravel one of the big mysteries in biology: The mechanisms of self-organised pattern formation during embryogenesis.

Suggested Citation

  • Felix Brinkmann & Moritz Mercker & Thomas Richter & Anna Marciniak-Czochra, 2018. "Post-Turing tissue pattern formation: Advent of mechanochemistry," PLOS Computational Biology, Public Library of Science, vol. 14(7), pages 1-21, July.
  • Handle: RePEc:plo:pcbi00:1006259
    DOI: 10.1371/journal.pcbi.1006259
    as

    Download full text from publisher

    File URL: https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1006259
    Download Restriction: no

    File URL: https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1006259&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pcbi.1006259?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. R. Allena & J. Muñoz & D. Aubry, 2013. "Diffusion-reaction model for embryo development," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 16(3), pages 235-248.
    2. Moritz Mercker & Dirk Hartmann & Anna Marciniak-Czochra, 2013. "A Mechanochemical Model for Embryonic Pattern Formation: Coupling Tissue Mechanics and Morphogen Expression," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-6, December.
    3. Bert Hobmayer & Fabian Rentzsch & Kerstin Kuhn & Christoph M. Happel & Christoph Cramer von Laue & Petra Snyder & Ute Rothbächer & Thomas W. Holstein, 2000. "WNT signalling molecules act in axis formation in the diploblastic metazoan Hydra," Nature, Nature, vol. 407(6801), pages 186-189, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chakraborty, Priya & Jolly, Mohit Kumar & Roy, Ushasi & Ghosh, Sayantari, 2023. "Spatio-temporal pattern formation due to host-circuit interplay in gene expression dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 167(C).
    2. Moritz Mercker & Dirk Hartmann & Anna Marciniak-Czochra, 2013. "A Mechanochemical Model for Embryonic Pattern Formation: Coupling Tissue Mechanics and Morphogen Expression," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-6, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pcbi00:1006259. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ploscompbiol (email available below). General contact details of provider: https://journals.plos.org/ploscompbiol/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.