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Biology subjects

Boinot, M.

Publications and source records attributed to Boinot, M..

2 recordsLinked to original sources

Evolution-assisted engineering of formate assimilation via the formyl phosphate route in Escherichia coli

The transition towards a sustainable bioeconomy requires the use of alternative feedstocks, with CO2-derived formate emerging as a promising candidate for industrial biotechnology. Despite its beneficial characteristics as a feedstock, microbial assimilation of formate is limited by the inefficiency of naturally evolved formate-fixing pathways. To overcome this limitation, synthetic formate reduction cascades could enable formate assimilation via formaldehyde, a key intermediate of several existing one carbon assimilation pathways. Recently, the formyl phosphate route, combining ATP-dependent activation of formate to formyl phosphate, followed by its reduction to formaldehyde, was developed through enzyme engineering and characterized in vitro. In this work, we successfully established the formyl phosphate route in vivo by developing a selection strategy that couples formate reduction to growth in a threonine/methionine auxotrophic Escherichia coli. Through adaptive laboratory evolution, we achieved formate-dependent growth via this novel pathway. Evolved strains were capable of growing robustly with formate concentrations between 20 mM and 100 mM with glucose in the co-feed. Genomic and proteomic analyses together with activity assays uncovered that formate activation was limiting in vivo. This discovery guided the rational engineering of a strain capable of efficient formate assimilation through the formyl phosphate route. By demonstrating that novel enzyme activities can link formate reduction to cell growth, our study shows how synthetic metabolic routes can be functionally established inside the cell, paving the way for the engineering of more complex synthetic pathways.

bioengineering↗

Design, construction and optimization of formaldehyde growth biosensors with broad application in Biotechnology

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 M 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. Highlights- Conversion of E. coli into three different formaldehyde growth biosensors - Biosensors are fully genomic and grow robustly when formaldehyde is present - Biosensors can detect formaldehyde concentrations ranging from [~]30 M to [~]13 mM - Benchmarking of biotechnological relevant methanol dehydrogenases reveals potential of biosensors for enzyme engineering - Biosensors grow upon direct addition of formaldehyde indicating potential use in environmental or industrial settings

bioengineering↗