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Universal dynamics of biological pattern formation in spatio-temporal morphogen variations

Dalwadi, Mohit; Pearce, Philip; (2023) Universal dynamics of biological pattern formation in spatio-temporal morphogen variations. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences , 479 (2271) , Article 20220829. 10.1098/rspa.2022.0829. Green open access

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Abstract

In biological systems, chemical signals termed morphogens self-organize into patterns that are vital for many physiological processes. As observed by Turing in 1952, these patterns are in a state of continual development, and are usually transitioning from one pattern into another. How do cells robustly decode these spatio-temporal patterns into signals in the presence of confounding effects caused by unpredictable or heterogeneous environments? Here, we answer this question by developing a general theory of pattern formation in spatio-temporal variations of ‘pre-pattern’ morphogens, which determine gene-regulatory network parameters. Through mathematical analysis, we identify universal dynamical regimes that apply to wide classes of biological systems. We apply our theory to two paradigmatic pattern-forming systems, and predict that they are robust with respect to non-physiological morphogen variations. More broadly, our theoretical framework provides a general approach to classify the emergent dynamics of pattern-forming systems based on how the bifurcations in their governing equations are traversed.

Type: Article
Title: Universal dynamics of biological pattern formation in spatio-temporal morphogen variations
Open access status: An open access version is available from UCL Discovery
DOI: 10.1098/rspa.2022.0829
Publisher version: https://doi.org/10.1098/rspa.2022.0829
Language: English
Additional information: © 2023 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Mathematics
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10165558
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