title: Genetically encoded sensors enable real-time observation of metabolite production.
abstract: Engineering cells to produce valuable metabolic products is hindered by the slow and laborious methods available for evaluating product concentration. Consequently, many designs go unevaluated, and the dynamics of product formation over time go unobserved. In this work, we develop a framework for observing product formation in real time without the need for sample preparation or laborious analytical methods. We use genetically encoded biosensors derived from small-molecule responsive transcription factors to provide a fluorescent readout that is proportional to the intracellular concentration of a target metabolite. Combining an appropriate biosensor with cells designed to produce a metabolic product allows us to track product formation by observing fluorescence. With individual cells exhibiting fluorescent intensities proportional to the amount of metabolite they produce, high-throughput methods can be used to rank the quality of genetic variants or production conditions. We observe production of several renewable plastic precursors with fluorescent readouts and demonstrate that higher fluorescence is indeed an indicator of higher product titer. Using fluorescence as a guide, we identify process parameters that produce 3-hydroxypropionate at 4.2 g/L, 23-fold higher than previously reported. We also report, to our knowledge, the first engineered route from glucose to acrylate, a plastic precursor with global sales of $14 billion. Finally, we monitor the production of glucarate, a replacement for environmentally damaging detergents, and muconate, a renewable precursor to polyethylene terephthalate and nylon with combined markets of $51 billion, in real time, demonstrating that our method is applicable to a wide range of molecules.
authors: Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02115.
authors: Jameson K
authors: JK
authors: Rogers
authors: Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02115 gchurch@genetics.med.harvard.edu.
authors: George M
authors: GM
authors: Church
mesh_terms: D015374:Biosensing Techniques; D003470:Culture Media; D005453:Fluorescence; D060847:Metabolic Engineering; D058615:Synthetic Biology
chemical_list: D003470:Culture Media
keywords: biosensor; biotechnology; directed evolution; metabolic engineering; synthetic biology