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Abstract

Formaldehyde is a key metabolite in natural and synthetic one-carbon metabolism as well as an important environmental toxin with high toxicity at low concentrations. To engineer efficient formaldehyde producing enzymes and to detect formaldehyde in industrial or environmental samples, it is important to establish highly sensitive, easy to use and affordable formaldehyde detection methods. Here, we transformed the workhorse bacterium Escherichia coli into biosensors that can detect a broad range of formaldehyde concentrations. Based on natural and promiscuous formaldehyde assimilation enzymes, we designed and engineered three different E. coli strains that depend on formaldehyde assimilation for cellular growth. After in depth characterization of these biosensors, we show that the formaldehyde sensitivity can be improved through adaptive laboratory evolution or modification of metabolic branch points. The metabolic engineering strategy presented in this work allowed the creation of E. coli biosensors that can detect formaldehyde in a concentration range from ~30 μM to ~13 mM. Using the most sensitive strain, we benchmarked the in vivo activities of different, widely used NAD-dependent methanol dehydrogenases, the rate-limiting enzyme in synthetic methylotrophy. We also show that the strains can grow upon external addition of formaldehyde indicating their potential use for applications beyond enzyme engineering. The formaldehyde biosensors developed in this study are fully genomic and can be used as plug and play devices for screening large enzyme libraries. Thus, they have the potential to greatly advance enzyme engineering and might even be used for environmental monitoring or analysis of industrial probes.Competing Interest StatementThe authors have declared no competing interest.