Microorganisms are widely used to generate valuable products, and their efficiency is a major industrial focus. Bioreactors are typically composed of billions of cells, and available measurements only reflect the overall performance of the population. However, cells do not equally contribute, and process optimization would therefore benefit from monitoring this intrapopulation diversity. Such monitoring has so far remained difficult because of the inability to probe concentration changes at the single-cell level. Here, we unlock this limitation by taking advantage of the osmotically driven water flux between a droplet containing a living cell toward surrounding empty droplets, within a concentrated inverse emulsion. With proper formulation, excreted products are far more soluble within the continuous hydrophobic phase compared to initial nutrients (carbohydrates and salts). Fast diffusion of products induces an osmotic mismatch, which further relaxes due to slower diffusion of water through hydrophobic interfaces. By measuring droplet volume variations, we can deduce the metabolic activity down to isolated single cells. As a proof of concept, we present the first direct measurement of the maintenance energy of individual yeast cells. This method does not require any added probes and can in principle apply to any osmotically sensitive bioactivity, opening new routes for screening, and sorting large libraries of microorganisms and biomolecules.biosensors | metabolism M icroorganisms, including bacteria, yeast, fungi, and algae, have the potential to safely produce valuable molecules for various fields of applications, including sustainable energy, packaging, detergency, food, cosmetics, and therapeutics (1-3). In all cases, optimizing the yield of production by choosing the best microorganism phenotypes remains a key advantage, raising the importance of monitoring parameters of individual cells. This monitoring implies measuring the rate of nutrient consumption, or the rate of metabolite production, for each single cell, which has so far remained impossible because of the difficulty in detecting small concentration changes around each isolated cell in a large population. Inverse emulsion droplets (water droplets dispersed in an oil phase) have been increasingly used over the past decade to compartmentalize biomolecules or cells for individual assays or amplification (4-8). Interestingly, when droplet compositions change, droplets can exhibit composition ripening (9). Indeed, if two droplets have different concentrations of some solute, either water or the solute molecule will diffuse to equilibrate chemical potentials; the relaxation is dominated by the fastest diffusing species, which in the case of inverse emulsion is water. We therefore reasoned that if bioactivity within a drop lowers its overall solute concentration, this would decrease the water chemical potential and induce a water flux outward. As a result, droplets with high bioactivity would progressively decrease in size, as already observed (10, 11). W...
International audienceMicrobiology has continuously pushed efforts towards understanding microbial diversity. Technologies and methods have also evolved, from plating, and use of microscopes and cytometers, towards micro-well handling robots and, finally, fluidic-based devices. The aim of this review was to bring microbiologists attention to the outstanding analytical and handling power of millifluidic droplet technologies for analysing and sorting phenotypic diversity in the microbial world. This new format overcomes many limitations of previous approaches. It provides outstanding reproducible growth conditions over droplet reservoirs allowing unprecedented sensitive read-out over thousands of colonies over time. The confinement of the millifluidic train within tubes and the implementation of a three phases format excludes any contamination issues. The automation and handling of reservoir droplets is inherently facilitated. We show as a proof of principle the efficiency of capturing phenotypic diversity within a bacterial sample submitted to a sub-minimum inhibitory concentration of antibiotic. The precision offered by the millifluidic format allows the detection of a variety of resistance strategies that compete and coexist. The review finally explores the potential of this approach to address new challenges such as community-based growth of multiple-strain systems
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