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Synthetic biology aims to make biology easier to engineer and focuses on the design and construction of core components that can be modeled, understood, and tuned to meet specific performance criteria, and the assembly of these smaller parts and devices into larger integrated systems to solve specific problems. Here, we designed and engineered a multicolor fluorescent reporter toolbox to simultaneously monitor the activities of multiple genes in single cells. The toolbox contained standardized and well-characterized genetic building blocks for the convenient and reproducible assembly of multiple promoter-reporter fusions (ranging from 1 to 4) into a single plasmid. Given the common problem of spectral crosstalk among multiple fluorescent proteins, we deciphered multiple spectral signatures within cells through a deduced linear unmixing algorithm. Our approach enabled the quantification of gene expression with direct FP concentrations, instead of mix-contributed fluorescence intensities, thus enabling true signal separation with high confidence. This approach performed well in the imaging of mixing cells with single FP labels. Additionally, combining with the multicolor toolbox, we succeeded in simultaneously monitoring the genetic dynamics of four selected quorum-sensing genes in response to the induction of two exogenously added autoinducers and were able to examine gene regulatory connections within the QS signaling network in Pseudomonas aeruginosa . Overall, this synthetic framework ( i.e. , the genetic toolbox and the well-evaluated approach of spectral correction) will be useful for applied synthetic biology projects, multicolor imaging, and analyzing interactions of multiple genes of natural genetic networks or assembling synthetic ones.

Single-cell behaviors are essential during early-stage biofilm formation. In this study, we aimed to evaluate whether single-cell behaviors could be precisely and continuously manipulated by optogenetics. We thus established adaptive tracking illumination (ATI), a novel illumination method to precisely manipulate the gene expression and bacterial behavior of Pseudomonas aeruginosa on the surface at the single-cell level by using the combination of a high-throughput bacterial tracking algorithm, optogenetic manipulation, and adaptive microscopy. ATI enables precise gene expression control by manipulating the optogenetic module gene expression and type IV pili (TFP)–mediated motility and microcolony formation during biofilm formation through bis-(3′-5′)-cyclic dimeric guanosine monophosphate (c-di-GMP) level modifications in single cells. Moreover, we showed that the spatial organization of single cells in mature biofilms could be controlled using ATI. Therefore, this novel method we established might markedly answer various questions or resolve problems in microbiology. Key points: • High-resolution spatial and continuous optogenetic control of individual bacteria. • Phenotype-specific optogenetic control of individual bacteria. • Capacity to control biologically relevant processes in engineered single cells. [ABSTRACT FROM AUTHOR]