Tica Jure, Oliver Huidobro Martina, Zhu Tong, Wachter Georg K A, Pazuki Roozbeh H, Bazzoli Dario G, Scholes Natalie S, Tonello Elisa, Siebert Heike, Stumpf Michael P H, Endres Robert G, Isalan Mark
Department of Life Sciences, Imperial College London, London SW7 2AZ, UK.
Department of Mathematics, Kiel University, 24118 Kiel, Germany.
Cell Syst. 2024 Dec 18;15(12):1123-1132.e3. doi: 10.1016/j.cels.2024.11.002. Epub 2024 Dec 2.
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.
图灵模式是一种自组织系统，能够形成斑点、条纹或迷宫图案。在组织形态学中，已提出的相关例子包括斑马鱼的色素沉着、手指间距等等。生物学中图灵模式理论一直存在争议，因为其微调要求十分严格，即图案仅在一小部分参数范围内出现。尽管已经鉴定出天然遗传图灵网络，但这使得从第一原理设计合成图灵基因回路变得复杂。在此，我们设计了一种合成遗传反应扩散系统，其中三个节点根据具有更高参数稳健性的非经典图灵网络相互作用。该系统在生长的大肠杆菌菌落中可重复地产生静态、周期性、同心条纹图案。一个偏微分方程模型再现了这些图案，并通过拟合实验数据得到了一个图灵参数范围。我们的合成图灵系统可为纳米技术做出贡献，比如图案化生物材料沉积，并为发育模式程序提供见解。本文透明的同行评审过程记录包含在补充信息中。
