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RESEARCH ARTICLE
Perturbation analysis of a multi-morphogen Turing reaction-diffusion stripe patterning system reveals key regulatory interactions
Andrew D. Economou, Nicholas A. M. Monk, Jeremy B. A. Green
Development 2020 147: dev190553 doi: 10.1242/dev.190553 Published 29 October 2020
Andrew D. Economou
1Department of Craniofacial Development & Stem Cell Biology, King's College London, London, SE1 9RT, UK
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  • ORCID record for Andrew D. Economou
  • For correspondence: jeremy.green@kcl.ac.uk andrew.economou@crick.ac.uk
Nicholas A. M. Monk
2School of Mathematics and Statistics, University of Sheffield, Sheffield, S3 7RH, UK
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Jeremy B. A. Green
1Department of Craniofacial Development & Stem Cell Biology, King's College London, London, SE1 9RT, UK
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  • For correspondence: jeremy.green@kcl.ac.uk andrew.economou@crick.ac.uk

Handling Editor: Paul François

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ABSTRACT

Periodic patterning is widespread in development and can be modelled by reaction-diffusion (RD) processes. However, minimal two-component RD descriptions are vastly simpler than the multi-molecular events that actually occur and are often hard to relate to real interactions measured experimentally. Addressing these issues, we investigated the periodic striped patterning of the rugae (transverse ridges) in the mammalian oral palate, focusing on multiple previously implicated pathways: FGF, Hh, Wnt and BMP. For each, we experimentally identified spatial patterns of activity and distinct responses of the system to inhibition. Through numerical and analytical approaches, we were able to constrain substantially the number of network structures consistent with the data. Determination of the dynamics of pattern appearance further revealed its initiation by ‘activators’ FGF and Wnt, and ‘inhibitor’ Hh, whereas BMP and mesenchyme-specific-FGF signalling were incorporated once stripes were formed. This further limited the number of possible networks. Experimental constraint thus limited the number of possible minimal networks to 154, just 0.004% of the number of possible diffusion-driven instability networks. Together, these studies articulate the principles of multi-morphogen RD patterning and demonstrate the utility of perturbation analysis for constraining RD systems.

This article has an associated ‘The people behind the papers’ interview.

Footnotes

  • Competing interests

    The authors declare no competing or financial interests.

  • Author contributions

    Conceptualization: A.D.E., J.B.A.G.; Methodology: A.D.E., N.A.M.M.; Software: A.D.E.; Validation: A.D.E.; Formal analysis: A.D.E.; Investigation: A.D.E.; Writing - original draft: A.D.E., J.B.A.G.; Writing - review & editing: A.D.E., N.A.M.M.; Visualization: A.D.E., J.B.A.G.; Supervision: J.B.A.G.; Project administration: J.B.A.G.; Funding acquisition: J.B.A.G.

  • Funding

    This work was funded by the Biotechnology and Biological Sciences Research Council (BB/J009105/1 to J.B.A.G.). Deposited in PMC for immediate release.

  • Supplementary information

    Supplementary information available online at https://dev.biologists.org/lookup/doi/10.1242/dev.190553.supplemental

  • Received March 12, 2020.
  • Accepted September 11, 2020.
http://creativecommons.org/licenses/by/4.0

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.

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Keywords

  • Morphogens
  • Palate
  • Patterning
  • Reaction-diffusion
  • Rugae

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RESEARCH ARTICLE
Perturbation analysis of a multi-morphogen Turing reaction-diffusion stripe patterning system reveals key regulatory interactions
Andrew D. Economou, Nicholas A. M. Monk, Jeremy B. A. Green
Development 2020 147: dev190553 doi: 10.1242/dev.190553 Published 29 October 2020
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RESEARCH ARTICLE
Perturbation analysis of a multi-morphogen Turing reaction-diffusion stripe patterning system reveals key regulatory interactions
Andrew D. Economou, Nicholas A. M. Monk, Jeremy B. A. Green
Development 2020 147: dev190553 doi: 10.1242/dev.190553 Published 29 October 2020

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