Abstract
Although underlying dynamics governing host-microbiome interactions are poorly understood, recent studies have shown that commensal bacteria play an important role in regulating the health and behavior of their host. In order to better elucidate this interaction, we designed a biomimetic robotic host platform comprised of an onboard synthetically engineered microbiome. By computationally simulating engineered gene networks in these commensal communities, we discovered complex emergent behaviors in the host, such as stalk-and-strike hunting patterns, dependent exclusively on biochemical network dynamics. This simulation models behavior at multiple scales from the molecular kinetics of genetic transcription to the physical actuation of robotic components. Taken as a whole, this study provides both a computational tool for understanding inter-kingdom communication while presenting a design for a biomimetic system capable of translating genetic based cellular behavior into macro-scale robotic locomotion.
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