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0 reviewsSUMMARYTuring patterns are self-organizing systems that can form spots, stripes, or labyrinths. Proposed examples intissue 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 onlyoccur 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-classicalTuring network with improved parametric robustness. The system reproducibly generated stationary, periodic, concentric stripe patterns in growing E. coli colonies. A partial differential equation model reproducedthe patterns, with a Turing parameter regime obtained by fitting to experimental data. Our synthetic Turingsystem can contribute to nanotechnologies, such as patterned biomaterial deposition, and provide insightsinto developmental patterning programs. A record of this paper’s transparent peer review process is includedin the supplemental information.INTRODUCTION