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      A programmable droplet-based microfluidic device applied to multiparameter analysis of single microbes and microbial communities.

      Proceedings of the National Academy of Sciences of the United States of America
      Base Sequence, DNA Primers, genetics, Genotype, Geologic Sediments, microbiology, Humans, Hydrodynamics, Image Processing, Computer-Assisted, Metagenome, Metagenomics, methods, Microfluidic Analytical Techniques, instrumentation, Microscopy, Fluorescence, Molecular Sequence Data, Mouth, Polymerase Chain Reaction, RNA, Ribosomal, 16S, Sequence Analysis, DNA, Surface-Active Agents, Wettability

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          Abstract

          We present a programmable droplet-based microfluidic device that combines the reconfigurable flow-routing capabilities of integrated microvalve technology with the sample compartmentalization and dispersion-free transport that is inherent to droplets. The device allows for the execution of user-defined multistep reaction protocols in 95 individually addressable nanoliter-volume storage chambers by consecutively merging programmable sequences of picoliter-volume droplets containing reagents or cells. This functionality is enabled by "flow-controlled wetting," a droplet docking and merging mechanism that exploits the physics of droplet flow through a channel to control the precise location of droplet wetting. The device also allows for automated cross-contamination-free recovery of reaction products from individual chambers into standard microfuge tubes for downstream analysis. The combined features of programmability, addressability, and selective recovery provide a general hardware platform that can be reprogrammed for multiple applications. We demonstrate this versatility by implementing multiple single-cell experiment types with this device: bacterial cell sorting and cultivation, taxonomic gene identification, and high-throughput single-cell whole genome amplification and sequencing using common laboratory strains. Finally, we apply the device to genome analysis of single cells and microbial consortia from diverse environmental samples including a marine enrichment culture, deep-sea sediments, and the human oral cavity. The resulting datasets capture genotypic properties of individual cells and illuminate known and potentially unique partnerships between microbial community members.

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