A three-node Turing gene circuit forms periodic spatial patterns in bacteria.

Autor:	Tica J; Department of Life Sciences, Imperial College London, London SW7 2AZ, UK., Oliver Huidobro M; Department of Life Sciences, Imperial College London, London SW7 2AZ, UK., Zhu T; Department of Life Sciences, Imperial College London, London SW7 2AZ, UK., Wachter GKA; Department of Life Sciences, Imperial College London, London SW7 2AZ, UK., Pazuki RH; Department of Life Sciences, Imperial College London, London SW7 2AZ, UK., Bazzoli DG; Department of Life Sciences, Imperial College London, London SW7 2AZ, UK., Scholes NS; Department of Life Sciences, Imperial College London, London SW7 2AZ, UK., Tonello E; Department of Mathematics, Kiel University, 24118 Kiel, Germany., Siebert H; Department of Mathematics, Kiel University, 24118 Kiel, Germany., Stumpf MPH; Melbourne Integrated Genomics, University of Melbourne, Melbourne, VIC 3010, Australia; School of BioScience, University of Melbourne, Melbourne, VIC 3010, Australia; School of Mathematics and Statistics, University of Melbourne, Melbourne, VIC 3010, Australia., Endres RG; Department of Life Sciences, Imperial College London, London SW7 2AZ, UK. Electronic address: r.endres@imperial.ac.uk., Isalan M; Department of Life Sciences, Imperial College London, London SW7 2AZ, UK; Imperial College Centre for Synthetic Biology, Imperial College London, London SW7 2AZ, UK. Electronic address: m.isalan@imperial.ac.uk.
Jazyk:	angličtina
Zdroj:	Cell systems [Cell Syst] 2024 Dec 18; Vol. 15 (12), pp. 1123-1132.e3. Date of Electronic Publication: 2024 Dec 02.
DOI:	10.1016/j.cels.2024.11.002
Abstrakt:	Turing patterns are self-organizing systems that can form spots, stripes, or labyrinths. Proposed examples in tissue organization include zebrafish pigmentation, digit spacing, and many others. The theory of Turing patterns in biology has been debated because of their stringent fine-tuning requirements, where patterns only occur within a small subset of parameters. This has complicated the engineering of synthetic Turing gene circuits from first principles, although natural genetic Turing networks have been identified. Here, we engineered a synthetic genetic reaction-diffusion system where three nodes interact according to a non-classical Turing network with improved parametric robustness. The system reproducibly generated stationary, periodic, concentric stripe patterns in growing E. coli colonies. A partial differential equation model reproduced the patterns, with a Turing parameter regime obtained by fitting to experimental data. Our synthetic Turing system can contribute to nanotechnologies, such as patterned biomaterial deposition, and provide insights into developmental patterning programs. A record of this paper's transparent peer review process is included in the supplemental information. Competing Interests: Declaration of interests The authors declare no competing interests. (Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.)
Databáze:	MEDLINE
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