Showing 1 - 21 of 21 results
Optogenetic control of gut bacterial metabolism to promote longevity.
Gut microbial metabolism is associated with host longevity. However, because it requires direct manipulation of microbial metabolism in situ, establishing a causal link between these two processes remains challenging. We demonstrate an optogenetic method to control gene expression and metabolite production from bacteria residing in the host gut. We genetically engineer an Escherichia coli strain that synthesizes and secretes colanic acid (CA) under the quantitative control of light. Using this optogenetically-controlled strain to induce CA production directly in the Caenorhabditis elegans gut, we reveal the local effect of CA in protecting intestinal mitochondria from stress-induced hyper-fragmentation. We also exploit different intensities of light to determine that the lifespan-extending effect of CA is positively correlated with its levels produced from bacteria. Our results show that optogenetic control offers a rapid, reversible and quantitative way to fine-tune gut bacterial metabolism and uncover its local and systemic effects on host health and aging.
Multiple-site diversification of regulatory sequences enables inter-species operability of genetic devices.
The features of the light-responsive cyanobacterial CcaSR regulatory module that determine interoperability of this optogenetic device between Escherichia coli and Pseudomonas putida have been examined. For this, all structural parts (i.e. ho1 and pcyA genes for synthesis of phycocyanobilin, the ccaS/ccaR system from Synechocystis and its cognate downstream promoter) were maintained but their expression levels and stoichiometry diversified by [i] reassembling them together in a single broad host range, standardized vector and [ii] subjecting the non-coding regulatory sequences to multiple cycles of directed evolution with random genomic mutations (DIvERGE), a recombineering method that intensifies mutation rates within discrete DNA segments. Once passed to P. putida, various clones displayed a wide dynamic range, insignificant leakiness and excellent capacity in response to green light. Inspection of the evolutionary intermediates pinpointed translational control as the main bottleneck for interoperability and suggested a general approach for easing the exchange of genetic cargoes between different species i.e. optimization of relative expression levels and upturning of subcomplex stoichiometry.
Light-inducible flux control of triosephosphate isomerase on glycolysis in Escherichia coli.
An engineering tool for controlling flux distribution on metabolic pathways to an appropriate state is highly desirable in bio-production. An optogenetic switch, which regulates gene expression by light illumination is an attractive on/off switchable system, and is a promising way for flux control with an external stimulus. We demonstrated a light-inducible flux control between glycolysis and the methylglyoxal (MGO) pathway in Escherichia coli using a CcaS/CcaR system. CcaR is phosphorylated by green light and is dephosphorylated by red light. Phosphorylated CcaR induces gene expression under the cpcG2 promoter. The tpiA gene was expressed under the cpcG2 promoter in a genomic tpiA deletion strain. The strain was then cultured with glucose minimum medium under green or red light. We found that tpiA mRNA level under green light was four times higher than that under red light. The repression of tpiA expression led to a decrease in glycolytic flux, resulting in slower growth under red light (0.25 h-1 ) when compared to green light (0.37 h-1 ). The maximum extracellular MGO concentration under red light (0.2 mM) was higher than that under green light (0.05 mM). These phenotypes confirm that the MGO pathway flux was enhanced under red light. This article is protected by copyright. All rights reserved.
Optogenetic control of Bacillus subtilis gene expression.
The Gram-positive bacterium Bacillus subtilis exhibits complex spatial and temporal gene expression signals. Although optogenetic tools are ideal for studying such processes, none has been engineered for this organism. Here, we port a cyanobacterial light sensor pathway comprising the green/red photoreversible two-component system CcaSR, two metabolic enzymes for production of the chromophore phycocyanobilin (PCB), and an output promoter to control transcription of a gene of interest into B. subtilis. Following an initial non-functional design, we optimize expression of pathway genes, enhance PCB production via a translational fusion of the biosynthetic enzymes, engineer a strong chimeric output promoter, and increase dynamic range with a miniaturized photosensor kinase. Our final design exhibits over 70-fold activation and rapid response dynamics, making it well-suited to studying a wide range of gene regulatory processes. In addition, the synthetic biology methods we develop to port this pathway should make B. subtilis easier to engineer in the future.
Optogenetic switch for controlling the central metabolic flux of Escherichia coli.
Dynamically controlling cellular metabolism can improve a cell's yield and productivity towards a target compound. However, the application of this strategy is currently limited by the availability of reversible metabolic switches. Unlike chemical inducers, light can readily be applied and removed from the medium multiple times without causing chemical changes. This makes light-inducible systems a potent tool to dynamically control cellular metabolism. Here we describe the construction of a light-inducible metabolic switch to regulate flux distribution between two glycolytic pathways, the Embden-Meyerhof-Parnas (EMP) and oxidative pentose phosphate (oxPP) pathways. This was achieved by using chromatic acclimation sensor/regulator (CcaSR) optogenetic system to control the expression of pgi, a metabolic gene which expression determines flux distribution between EMP and oxPP pathways. Control over these pathways may allow us to maximize Escherichia coli's yield on highly-reduced compounds such as mevalonate. Background pgi expression of the initial CcaSR construct was too high to significantly reduce pgi expression during the OFF-state. Therefore, we attenuated the system's output leakage by adjusting plasmid copy number and by tagging Pgi with ssRA protein degradation signal. Using our CcaSR-pgi ver.3, we could control EMP:oxPP flux ratio to 50:49 and 0.5:99 (of total glycolytic flux) by exposure to green and red light, respectively.
Rewiring bacterial two-component systems by modular DNA-binding domain swapping.
Two-component systems (TCSs) are the largest family of multi-step signal transduction pathways and valuable sensors for synthetic biology. However, most TCSs remain uncharacterized or difficult to harness for applications. Major challenges are that many TCS output promoters are unknown, subject to cross-regulation, or silent in heterologous hosts. Here, we demonstrate that the two largest families of response regulator DNA-binding domains can be interchanged with remarkable flexibility, enabling the corresponding TCSs to be rewired to synthetic output promoters. We exploit this plasticity to eliminate cross-regulation, un-silence a gram-negative TCS in a gram-positive host, and engineer a system with over 1,300-fold activation. Finally, we apply DNA-binding domain swapping to screen uncharacterized Shewanella oneidensis TCSs in Escherichia coli, leading to the discovery of a previously uncharacterized pH sensor. This work should accelerate fundamental TCS studies and enable the engineering of a large family of genetically encoded sensors with diverse applications.
A miniaturized E. coli green light sensor with high dynamic range.
Genetically-engineered photoreceptors enable unrivaled control over gene expression. Previously, we ported the Synechocystis PCC 6803 CcaSR two-component system, which is activated by green light and de-activated by red, into E. coli, resulting in a sensor with 6-fold dynamic range. Later, we optimized pathway protein expression levels and the output promoter sequence to decrease transcriptional leakiness and increase the dynamic range to approximately 120-fold. These CcaSR v1.0 and 2.0 systems have been used for precise quantitative, temporal, and spatial control of gene expression for a variety of applications. Recently, others have deleted two PAS domains of unknown function from the CcaS sensor histidine kinase in a CcaSR v1.0-like system. Here, we apply these deletions to CcaSR v2.0, resulting in a v3.0 light sensor with 4-fold lower leaky output and nearly 600-fold dynamic range. We demonstrate that the PAS domain deletions have no deleterious effect on CcaSR green light sensitivity or response dynamics. CcaSR v3.0 is the best performing engineered bacterial green light sensor available, and should have broad applications in fundamental and synthetic biology studies.
A novel optogenetically tunable frequency modulating oscillator.
Synthetic biology has enabled the creation of biological reconfigurable circuits, which perform multiple functions monopolizing a single biological machine; Such a system can switch between different behaviours in response to environmental cues. Previous work has demonstrated switchable dynamical behaviour employing reconfigurable logic gate genetic networks. Here we describe a computational framework for reconfigurable circuits in E.coli using combinations of logic gates, and also propose the biological implementation. The proposed system is an oscillator that can exhibit tunability of frequency and amplitude of oscillations. Further, the frequency of operation can be changed optogenetically. Insilico analysis revealed that two-component light systems, in response to light within a frequency range, can be used for modulating the frequency of the oscillator or stopping the oscillations altogether. Computational modelling reveals that mixing two colonies of E.coli oscillating at different frequencies generates spatial beat patterns. Further, we show that these oscillations more robustly respond to input perturbations compared to the base oscillator, to which the proposed oscillator is a modification. Compared to the base oscillator, the proposed system shows faster synchronization in a colony of cells for a larger region of the parameter space. Additionally, the proposed oscillator also exhibits lesser synchronization error in the transient period after input perturbations. This provides a strong basis for the construction of synthetic reconfigurable circuits in bacteria and other organisms, which can be scaled up to perform functions in the field of time dependent drug delivery with tunable dosages, and sets the stage for further development of circuits with synchronized population level behaviour.
Shaping bacterial population behavior through computer-interfaced control of individual cells.
Bacteria in groups vary individually, and interact with other bacteria and the environment to produce population-level patterns of gene expression. Investigating such behavior in detail requires measuring and controlling populations at the single-cell level alongside precisely specified interactions and environmental characteristics. Here we present an automated, programmable platform that combines image-based gene expression and growth measurements with on-line optogenetic expression control for hundreds of individual Escherichia coli cells over days, in a dynamically adjustable environment. This integrated platform broadly enables experiments that bridge individual and population behaviors. We demonstrate: (i) population structuring by independent closed-loop control of gene expression in many individual cells, (ii) cell-cell variation control during antibiotic perturbation, (iii) hybrid bio-digital circuits in single cells, and freely specifiable digital communication between individual bacteria. These examples showcase the potential for real-time integration of theoretical models with measurement and control of many individual cells to investigate and engineer microbial population behavior.
Mini Photobioreactors for in Vivo Real-Time Characterization and Evolutionary Tuning of Bacterial Optogenetic Circuit.
The current standard protocols for characterizing the optogenetic circuit of bacterial cells using flow cytometry in light tubes and light exposure of culture plates are tedious, labor-intensive, and cumbersome. In this work, we engineer a bioreactor with working volume of ∼10 mL for in vivo real-time optogenetic characterization of E. coli with a CcaS-CcaR light-sensing system. In the bioreactor, optical density measurements, reporter protein fluorescence detection, and light input stimuli are provided by four light-emitting diode sources and two photodetectors. Once calibrated, the device can cultivate microbial cells and record their growth and gene expression without human intervention. We measure gene expression during cell growth with different organic substrates (glucose, succinate, acetate, pyruvate) as carbon sources in minimal medium and demonstrate evolutionary tuning of the optogenetic circuit by serial dilution passages.
Engineering RGB color vision into Escherichia coli.
Optogenetic tools use colored light to rapidly control gene expression in space and time. We designed a genetically encoded system that gives Escherichia coli the ability to distinguish between red, green, and blue (RGB) light and respond by changing gene expression. We use this system to produce 'color photographs' on bacterial culture plates by controlling pigment production and to redirect metabolic flux by expressing CRISPRi guide RNAs.
A photoconversion model for full spectral programming and multiplexing of optogenetic systems.
Optogenetics combines externally applied light signals and genetically engineered photoreceptors to control cellular processes with unmatched precision. Here, we develop a mathematical model of wavelength- and intensity-dependent photoconversion, signaling, and output gene expression for our two previously engineered light-sensing Escherichia coli two-component systems. To parameterize the model, we develop a simple set of spectral and dynamical calibration experiments using our recent open-source "Light Plate Apparatus" device. In principle, the parameterized model should predict the gene expression response to any time-varying signal from any mixture of light sources with known spectra. We validate this capability experimentally using a suite of challenging light sources and signals very different from those used during the parameterization process. Furthermore, we use the model to compensate for significant spectral cross-reactivity inherent to the two sensors in order to develop a new method for programming two simultaneous and independent gene expression signals within the same cell. Our optogenetic multiplexing method will enable powerful new interrogations of how metabolic, signaling, and decision-making pathways integrate multiple input signals.
An open-hardware platform for optogenetics and photobiology.
In optogenetics, researchers use light and genetically encoded photoreceptors to control biological processes with unmatched precision. However, outside of neuroscience, the impact of optogenetics has been limited by a lack of user-friendly, flexible, accessible hardware. Here, we engineer the Light Plate Apparatus (LPA), a device that can deliver two independent 310 to 1550 nm light signals to each well of a 24-well plate with intensity control over three orders of magnitude and millisecond resolution. Signals are programmed using an intuitive web tool named Iris. All components can be purchased for under $400 and the device can be assembled and calibrated by a non-expert in one day. We use the LPA to precisely control gene expression from blue, green, and red light responsive optogenetic tools in bacteria, yeast, and mammalian cells and simplify the entrainment of cyanobacterial circadian rhythm. The LPA dramatically reduces the entry barrier to optogenetics and photobiology experiments.
Automated optogenetic feedback control for precise and robust regulation of gene expression and cell growth.
Dynamic control of gene expression can have far-reaching implications for biotechnological applications and biological discovery. Thanks to the advantages of light, optogenetics has emerged as an ideal technology for this task. Current state-of-the-art methods for optical expression control fail to combine precision with repeatability and cannot withstand changing operating culture conditions. Here, we present a novel fully automatic experimental platform for the robust and precise long-term optogenetic regulation of protein production in liquid Escherichia coli cultures. Using a computer-controlled light-responsive two-component system, we accurately track prescribed dynamic green fluorescent protein expression profiles through the application of feedback control, and show that the system adapts to global perturbations such as nutrient and temperature changes. We demonstrate the efficacy and potential utility of our approach by placing a key metabolic enzyme under optogenetic control, thus enabling dynamic regulation of the culture growth rate with potential applications in bacterial physiology studies and biotechnology.
Development of a light-regulated cell-recovery system for non-photosynthetic bacteria.
Recent advances in the understanding of photosensing in biological systems have enabled the use of photoreceptors as novel genetic tools. Exploiting various photoreceptors that cyanobacteria possess, a green light-inducible gene expression system was previously developed for the regulation of gene expression in cyanobacteria. However, the applications of cyanobacterial photoreceptors are not limited to these bacteria but are also available for non-photosynthetic microorganisms by the coexpression of a cyanobacterial chromophore with a cyanobacteria-derived photosensing system. An Escherichia coli-derived self-aggregation system based on Antigen 43 (Ag43) has been shown to induce cell self-aggregation of various bacteria by exogenous introduction of the Ag43 gene.
Refactoring and optimization of light-switchable Escherichia coli two-component systems.
Light-switchable proteins enable unparalleled control of molecular biological processes in live organisms. Previously, we have engineered red/far-red and green/red photoreversible two-component signal transduction systems (TCSs) with transcriptional outputs in E. coli and used them to characterize and control synthetic gene circuits with exceptional quantitative, temporal, and spatial precision. However, the broad utility of these light sensors is limited by bulky DNA encoding, incompatibility with commonly used ligand-responsive transcription factors, leaky output in deactivating light, and less than 10-fold dynamic range. Here, we compress the four genes required for each TCS onto two streamlined plasmids and replace all chemically inducible and evolved promoters with constitutive, engineered versions. Additionally, we systematically optimize the expression of each sensor histidine kinase and response regulator, and redesign both pathway output promoters, resulting in low leakiness and 72- and 117-fold dynamic range, respectively. These second-generation light sensors can be used to program the expression of more genes over a wider range and can be more easily combined with additional plasmids or moved to different host strains. This work demonstrates that bacterial TCSs can be optimized to function as high-performance sensors for scientific and engineering applications.
A green-light inducible lytic system for cyanobacterial cells.
Cyanobacteria are an attractive candidate for the production of biofuel because of their ability to capture carbon dioxide by photosynthesis and grow on non-arable land. However, because huge quantities of water are required for cultivation, strict water management is one of the greatest issues in algae- and cyanobacteria-based biofuel production. In this study, we aim to construct a lytic cyanobacterium that can be regulated by a physical signal (green-light illumination) for future use in the recovery of biofuel related compounds.
Characterizing bacterial gene circuit dynamics with optically programmed gene expression signals.
Gene circuits are dynamical systems that regulate cellular behaviors, often using protein signals as inputs and outputs. Here we have developed an optogenetic 'function generator' method for programming tailor-made gene expression signals in live bacterial cells. We designed precomputed light sequences based on experimentally calibrated mathematical models of light-switchable two-component systems and used them to drive intracellular protein levels to match user-defined reference time courses. We used this approach to generate accelerated and linearized dynamics, sinusoidal oscillations with desired amplitudes and periods, and a complex waveform, all with unprecedented accuracy and precision. We also combined the function generator with a dual fluorescent protein reporter system, analogous to a dual-channel oscilloscope, to reveal that a synthetic repressible promoter linearly transforms repressor signals with an approximate 7-min delay. Our approach will enable a new generation of dynamical analyses of synthetic and natural gene circuits, providing an essential step toward the predictive design and rigorous understanding of biological systems.
Engineering of a green-light inducible gene expression system in Synechocystis sp. PCC6803.
In order to construct a green-light-regulated gene expression system for cyanobacteria, we characterized a green-light sensing system derived from Synechocystis sp. PCC6803, consisting of the green-light sensing histidine kinase CcaS, the cognate response regulator CcaR, and the promoter of cpcG2 (PcpcG 2 ). CcaS and CcaR act as a genetic controller and activate gene expression from PcpcG 2 with green-light illumination. The green-light induction level of the native PcpcG 2 was investigated using GFPuv as a reporter gene inserted in a broad-host-range vector. A clear induction of protein expression from native PcpcG 2 under green-light illumination was observed; however, the expression level was very low compared with Ptrc , which was reported to act as a constitutive promoter in cyanobacteria. Therefore, a Shine-Dalgarno-like sequence derived from the cpcB gene was inserted in the 5' untranslated region of the cpcG2 gene, and the expression level of CcaR was increased. Thus, constructed engineered green-light sensing system resulted in about 40-fold higher protein expression than with the wild-type promoter with a high ON/OFF ratio under green-light illumination. The engineered green-light gene expression system would be a useful genetic tool for controlling gene expression in the emergent cyanobacterial bioprocesses.
Plate-based assays for light-regulated gene expression systems.
Light sensing proteins can be used to control living cells with exquisite precision. We have recently constructed a set of bacterial light sensors and used them to pattern gene expression across lawns of Escherichia coli with images of green and red light. The sensors can be expressed in a single cell and controlled independently by applying different light wavelengths. Both sensors also demonstrate continuous input-output behavior, where the magnitude of gene expression is proportional to the intensity of light applied. This combination of features allows complex patterns of gene expression to be programmed across an otherwise homogeneous cell population. The red light sensor has also been connected to a cell-cell communication system and several genetic logic circuits in order to program the bacterial lawn to behave as a distributed computer that performs the image-processing task of edge detection. Here, we will describe protocols for working with these systems in the laboratory.
Multichromatic control of gene expression in Escherichia coli.
Light is a powerful tool for manipulating living cells because it can be applied with high resolution across space and over time. We previously constructed a red light-sensitive Escherichia coli transcription system based on a chimera between the red/far-red switchable cyanobacterial phytochrome Cph1 and the E. coli EnvZ/OmpR two-component signaling pathway. Here, we report the development of a green light-inducible transcription system in E. coli based on a recently discovered green/red photoswitchable two-component system from cyanobacteria. We demonstrate that the transcriptional output is proportional to the intensity of green light applied and that the green sensor is orthogonal to the red sensor at intensities of 532-nm light less than 0.01 W/m(2). Expression of both sensors in a single cell allows two-color optical control of transcription both in batch culture and in patterns across a lawn of engineered cells. Because each sensor functions as a photoreversible switch, this system should allow the spatial and temporal control of the expression of multiple genes through different combinations of light wavelengths. This feature aids precision single-cell and population-level studies in systems and synthetic biology.