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Results for “Synthetic Biology”

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bioRxiv2018

Complete decoupling of bacterial growth from biopolymer production through proteolytic control of enzyme levels

Most current methods for controlling the rate of formation of a key protein or enzyme in cell factories rely on the manipulation of target genes within the pathway. In this article, we present a novel synthetic system for post-translational regulation of protein levels, FENIX, which provides both independent control of the steady-state protein level and inducible accumulation of targeted proteins. The device is based on the constitutive, proteasome-dependent degradation of the target polypeptide by tagging with a short synthetic, hybrid NIa/SsrA amino acid sequence in the C-terminal domain. The protein degradation process can be reversed by activating the system via addition of an orthogonal inducer (e.g. 3-methylbenzoate) to the culture medium. The system was benchmarked in Escherichia coli by tagging two fluorescent proteins (GFP and mCherry) and further exploited for engineering poly(3-hydroxybutyrate) (PHB) accumulation completely uncoupled from bacterial growth. By tagging PhaA (3-ketoacyl-CoA thiolase, first step of the route), a dynamic metabolic switch at the acetyl-coenzyme A node was established in such a way that this metabolic precursor could be effectively directed into PHB formation upon activation of the system. The engineered E. coli strain reached a very high specific rate of PHB accumulation with a polymer content of ca. 72% (w/w) in glucose cultures set in the growth-decoupled mode. Thus, FENIX enables dynamic control of metabolic fluxes in bacterial cell factories by establishing post-translational synthetic switches in the pathway of interest.\n\n\n\nO_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=109 SRC=\"FIGDIR/small/389809_ufig1.gif\" ALT=\"Figure 1\">\nView larger version (34K):\norg.highwire.dtl.DTLVardef@1d9ec08org.highwire.dtl.DTLVardef@1722feorg.highwire.dtl.DTLVardef@fa77b2org.highwire.dtl.DTLVardef@1c8624a_HPS_FORMAT_FIGEXP M_FIG GRAPHICAL ABSTRACT C_FIG

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bioRxiv2018

Engineering a model cell for rational tuning of GPCR signaling

G protein-coupled receptor (GPCR) signaling is the primary method eukaryotes use to respond to specific cues in their environment. However, the relationship between stimulus and response for each GPCR is difficult to predict due to diversity in natural signal transduction architecture and expression. Using genome engineering in yeast, we here constructed an insulated, modular GPCR signal transduction system to study how the response to stimuli can be predictably tuned using synthetic tools. We delineated the contributions of a minimal set of key components via computational and experimental refactoring, identifying simple design principles for rationally tuning the dose-response. Using four different receptors, we demonstrate how this enables cells and consortia to be engineered to respond to desired concentrations of peptides, metabolites and hormones relevant to human health. This work enables rational tuning of cell sensing, while providing a framework to guide reprogramming of GPCR-based signaling in more complex systems.

synthetic biology↗

bioRxiv2018

Hierarchical composition of reliable recombinase logic devices.

We provide a systematic framework for engineering reliable recombinase logic devices by hierarchical composition of well-characterized, optimized recombinase switches. We apply this framework to build a recombinase logic device family supporting up to 4-input Boolean logic. This work will support the predictable engineering of several classes of recombinase devices to reliably control cellular behavior.

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bioRxiv2018

Metabolic engineering of Escherichia coli for de novo biosynthesis of vitamin B12

The only known source of vitamin B12 (adenosylcobalamin) is from bacteria and archaea, and the only unknown step in its biosynthesis is the production of the intermediate adenosylcobinamide phosphate. Here, using genetic and metabolic engineering, we generated an Escherichia coli strain that produces vitamin B12 via an engineered de novo aerobic biosynthetic pathway. Excitingly, the BluE and CobC enzymes from Rhodobacter capsulatus transform L-threonine into (R)-1-Amino-2-propanol O-2-Phosphate, which is then condensed with adenosylcobyric acid to yield adenosylcobinamide phosphate by either CobD from the aeroic R. capsulatus or CbiB from the anerobic Salmonella typhimurium. These findings suggest that the biosynthetic steps from co(II)byrinic acid a,c-diamide to adocobalamin are the same in both the aerobic and anaerobic pathways. Finally, we increased the vitamin B12 yield of a recombinant E. coli strain by more than [~]250-fold to 307.00 {micro}g/g DCW via metabolic engineering and optimization of fermentation conditions. Beyond our scientific insights about the aerobic and anaerobic pathways and our demonstration of E. coli as a microbial biosynthetic platform for vitamin B12 production, our study offers an encouraging example of how the several dozen proteins of a complex biosynthetic pathway can be transferred between organisms to facilitate industrial production.

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bioRxiv2018

Cortical Actomyosin Flows are Generated by Actomyosin Cluster Vibrations in Vitro

Cortical actomyosin flows play pivotal roles in cell motility, cell division and animal morphogenesis. According to many model systems, myosin motor induced local contractions are key for generating cortical flows. However, the original mechanism how large-scale directed flows emerge from local motor activity in an apparently isotropic cortex is unknown. We reconstituted and confined minimal actomyosin cortices to the interfaces of emulsion droplets. The presence of ATP leads to myosin-induced cortical contractions that self-organize into directed flow-like actomyosin motions. By combining our experiments with theory, we found that the large-scale directional motion of actomyosin clusters emerges from individual asymmetric cluster vibrations, caused by intrinsic non-isotropic ATP consumption, in conjunction with spherical confinement. By tracking individual actomyosin clusters, we identified fingerprints of vibrational states as the basis of directed motions. These vibrations may represent a generic key driver of directed actomyosin flows under spatial confinement in vitro and in living systems.

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bioRxiv2018

A simple chromogenic whole-cell arsenic biosensor based on Bacillus subtilis

Arsenic contaminated ground water is a serious public health issue, and recent estimates place 150 million people worldwide at risk. Current chemical field test kits do not reliably detect arsenic at the lower end of the relevant range, and may generate toxic intermediates and waste. Whole-cell biosensors potentially provide an inexpensive, robust and analyte-specific solution to this problem. The second generation of a Bacillus subtilis-based arsenic biosensor, designated Bacillosensor-II, was constructed using the native chromosomal ars promoter, arsR and the reporter gene xylE encoding catechol-2,3-dioxygenase. Within four hours, Bacillosensor-II can detect arsenic in the form of arsenate AsO43- at levels more than one order of magnitude below the recommended safe limit for drinking water suggested by the World Health Organisation (10 {micro}g/L). Detection is reported by the enzymatic conversion of the inexpensive substrate catechol to 2-hydroxy-cis,cis-muconic semialdehyde, a bright yellow product visible by eye. We hope that this work will aid in developing a simple inexpensive field test kit for screening of drinking water for arsenic contamination.

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bioRxiv2018

Plug-and-Play Metabolic Transducers Expand the Chemical Detection Space of Cell-Free Biosensors

Cell-free transcription-translation systems have great potential for biosensing, yet the range of detectable chemicals is limited. Here we provide a framework to expand the range of molecules detectable by cell-free biosensors by combining synthetic metabolic cascades with transcription factor-based networks. These hybrid cell-free biosensors are highly-sensitive and have a fast response and high-dynamic range. This work provides a foundation to engineer modular cell-free biosensors tailored for many applications.

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bioRxiv2018

Reverse engineering of an aspirin-responsive regulator in bacteria

Bacterial transcriptional factors (TFs) and their target promoters are key devices for engineering of complex circuits in many biotechnological applications. Yet, there is a dearth of well characterized inducer-responsive TFs that could be used in the context of an animal or human host. In this work we have deciphered the inducer recognition mechanism of two AraC/XylS regulators from Pseudomonas putida (BenR and XylS) for creating a novel expression system responsive to acetyl salicylate (i.e. Aspirin). Using protein homology modeling and molecular docking with the cognate inducer benzoate and a suite of chemical analogues, we identified the conserved binding pocket of these two proteins. Using site directed mutagenesis, we identified a single amino acid position required for efficient inducer recognition and transcriptional activation. While modification of this position in BenR abolishes protein activity, its modification in XylS increases the response to several aromatic compounds, including acetyl salicylic acid to levels close to those achieved by the canonical inducer. Moreover, by constructing chimeric proteins with swapped N-terminal domains, we created novel regulators with mixed promoter and inducer recognition profiles. As a result, a collection of engineered TFs was generated with enhanced response to a well characterized and largely innocuous molecule with a potential for eliciting heterologous expression of bacterial genes in animal carriers.

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bioRxiv2018

Biotransformation of 2,4-dinitrotoluene in a phototrophic co-culture of engineered Synechococcus elongatus and Pseudomonas putida

In contrast to the current paradigm of using microbial monocultures in most biotechnological applications, increasing efforts are being directed towards engineering mixed-species consortia to perform functions that are difficult to program into individual strains. Additionally, the division of labor between specialist species found in natural consortia can lead to increased catalytic efficiency and stability relative to a monoculture or a community composed of generalists. In this work, we have designed a synthetic co-culture for phototrophic degradation of xenobiotics, composed of a cyanobacterium, (Synechococcus elongatus PCC 7942) and a heterotrophic bacterium (Pseudomonas putida EM173). Cyanobacteria fix CO2 through photosynthetic metabolism and secrete sufficient carbohydrates to support the growth and active metabolism of P. putida, which has been engineered to consume sucrose as the only carbon source and to degrade the environmental pollutant 2,4-dinitrotoluene (2,4-DNT). The synthetic consortium is able to degrade 2,4-DNT with only light and CO2 as inputs for the system, and it was stable over time through repeated backdilutions. Furthermore, cycling this consortium through low nitrogen medium promoted the accumulation of polyhydroxyalkanoate (PHA)-an added-value biopolymer-in P. putida, thus highlighting the versatility of this production platform. Altogether, the synthetic consortium allows for simultaneous bioproduction of PHA and remediation of the industrial pollutant 2,4-DNT, using light and CO2 as inputs.\n\nImportanceIn this study, we have created an artificial consortium composed of two bacterial species that enables the degradation of the industrially-produced environmental pollutant 2,4-DNT while simultaneously producing PHA bioplastic. In these co-cultures, the photosynthetic cyanobacteria fuel an engineered P. putida strain programmed both to use sucrose as a carbon source and to perform the biotransformation of 2,4-DNT. The division of labor in this synthetic co-culture is reminiscent of that commonly observed in microbial communities and represents a proof-of-principle example of how artificial consortia can be employed for bioremediation purposes. Furthermore, this co-culture system enabled the utilization of freshwater sources that could not be utilized in classical agriculture settings, reducing the potential competition of this alternative method of bioproduction with current agricultural practices, as well as remediation of contaminated water streams.

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bioRxiv2018

Genetic Circuits to Detect Nanomaterial Triggered Toxicity through Engineered Heat Shock Response Mechanism

Biocompatibility assessment of nanomaterials has been of great interest due to their potential toxicity. However, conventional biocompatibility tests are short of providing a fast toxicity report. We developed a whole cell based biosensor to track biocompatibility of nanomaterials with the aim of providing fast feedback for engineering nanomaterials with lower toxicity levels. We have engineered promoters of four heat shock response proteins. As an initial design a reporter coding gene was cloned to downstream of the promoter regions selected. Initial results indicated that native HSP promoter regions were not very promising to generate signals with low background signals. Introducing riboregulators to native promoters eliminated unwanted background signal almost entirely. Unfortunately, this approach also leads a decrease in expected sensor signal. Thus, a repression based genetic circuit, inspired from HSP mechanism of Mycobacterium tuberculosis was constructed. These genetic circuits can report the toxicity of Quantum Dot nanoparticles in one hour with high precision. Our designed nanoparticle toxicity sensors can provide quick reports which can lower the demand for additional experiments with more complex organisms.

synthetic biology↗

bioRxiv2018

Cell-free gene regulatory network engineering with synthetic transcription factors

Gene regulatory networks are ubiquitous in nature and critical for bottom-up engineering of synthetic networks. Transcriptional repression is a fundamental function that can be tuned at the level of DNA, protein, and cooperative protein - protein interactions, necessitating high-throughput experimental approaches for in-depth characterization. Here we used a cell-free system in combination with a high-throughput microfluidic device to comprehensively study the different tuning mechanisms of a synthetic zinc-finger repressor library, whose affinity and cooperativity can be rationally engineered. The device is integrated into a comprehensive workflow that includes determination of transcription factor binding energy landscapes and mechanistic modeling, enabling us to generate a library of well-characterized synthetic transcription factors and corresponding promoters, which we then used to build gene regulatory networks de novo. The well-characterized synthetic parts and insights gained should be useful for rationally engineering gene regulatory networks and for studying the biophysics of transcriptional regulation.

synthetic biology↗

bioRxiv2018

A versatile platform strain for high-fidelity multiplex genome editing

Precision genome editing accelerates the discovery of the genetic determinants of phenotype and the engineering of novel behaviors in organisms. Advances in DNA synthesis and recombineering have enabled high-throughput engineering of genetic circuits and biosynthetic pathways via directed mutagenesis of bacterial chromosomes. However, the highest recombination efficiencies have to date been reported in persistent mutator strains, which suffer from reduced genomic fidelity. The absence of inducible transcriptional regulators in these strains also prevents concurrent control of genome engineering tools and engineered functions. Here, we introduce a new recombineering platform strain, BioDesignER, which incorporates (1) a refactored {lambda}-Red recombination system that reduces toxicity and accelerates multi-cycle recombination, (2) genetic modifications that boost recombination efficiency, and (3) four independent inducible regulators to control engineered functions. These modifications resulted in single-cycle recombineering efficiencies of up to 25% with a seven-fold increase in recombineering fidelity compared to the widely used recombineering strain EcNR2. To facilitate genome engineering in BioDesignER, we have curated eight context-neutral genomic loci, termed Safe Sites, for stable gene expression and consistent recombination efficiency. BioDesignER is a platform to develop and optimize engineered cellular functions and can serve as a model to implement comparable recombination and regulatory systems in other bacteria.

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bioRxiv2018

A simple, robust, and low-cost method to produce the PURE cell-free system

We demonstrate a simple, robust, and low-cost method for producing the PURE cell-free transcription-translation system. Our OnePot PURE system achieved a protein synthesis yield of 156 {micro}g/mL at a cost of 0.09 USD/{micro}L, leading to a 14-fold improvement in cost normalized protein synthesis yield over existing PURE systems. The OnePot method makes the PURE system easy to generate and allows it to be readily optimized and modified.

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bioRxiv2018

Inducible Cooperation in a Synthetic Gut Bacterial Consortium Introduces Population Balance and Stability

In nature, microbes interact antagonistically, neutrally or beneficially. To shed light on the effects of positive interactions in microbial consortia we introduced metabolic dependencies and metabolite overproduction into four bacterial species. While antagonistic interactions govern the wildtype consortium behavior, the genetic modifications alleviated antagonistic interactions and resulted in beneficial interactions. Engineered cross-feeding increased population evenness, a component of ecological diversity, in different environments including in a more complex gnotobiotic mouse gut environment. Our findings suggest that metabolite cross-feeding could be used as a tool for intentionally shaping microbial consortia in complex environments.\n\nImportanceMicrobial communities are ubiquitous in nature. Bacterial consortia live in and on our body and in our environment and more recently, biotechnology is applying microbial consortia for bioproduction. As part of our body, bacterial consortia influence us in health and disease. Microbial consortia function is determined by its composition, which in turn is driven by the interactions between species. Further understanding of microbial interactions will help us deciphering how consortia function in complex environments and may enable us to modify microbial consortia for health and environmental benefits.

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bioRxiv2018

Rational design of hidden thermodynamic driving through DNA mismatch repair

Recent years have seen great advances in the development of synthetic self-assembling molecular systems. Designing out-of-equilibrium architectures, however, requires a more subtle control over the thermodynamics and kinetics of reactions. We propose a new mechanism for enhancing thermodynamic drive of DNA strand displacement reactions whilst barely perturbing forward reaction rates - introducing mismatches in an internal location within the initial duplex. Through a combination of experiment and simulation, we demonstrate that displacement rates are strongly sensitive to mismatch location and can be tuned by rational design. By placing mismatches away from duplex ends, the thermodynamic drive for a strand-displacement reaction can be varied without significantly affecting the forward reaction rate. This hidden thermodynamic driving motif is ideal for the engineering of nonequilibrium systems that rely on catalytic control and must be robust to leak reactions.

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bioRxiv2018

beditor: A computational workflow for designing libraries of guide RNAs for CRISPR base editing

CRISPR-mediated base editors have opened unique avenues for scar-free genome-wide mutagenesis. Here, we describe a comprehensive computational workflow called beditor that can be broadly adapted for designing guide RNA libraries with a range of CRISPR-mediated base editors, PAM recognition sequences and genomes of many species. Additionally, in order to assist users in selecting the best sets of guide RNAs for their experiments, a priori estimates, called beditor scores are calculated. These beditor scores are intended to select guide RNAs that conform to requirements for optimal base editing: editable base falls within maximum activity window of the CRISPR-mediated base editor and produces non-confounding mutational effects with minimal off-target effects. We demonstrate the utility of the software by designing guide RNAs for base-editing mediated edition of thousands of clinically important human disease mutations.

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bioRxiv2018

Optimal control of acute myeloid leukaemia

Acute myeloid leukaemia (AML) is a blood cancer affecting the haematopoietic stem cells of the myeloid cell line. AML is routinely treated with chemotherapy, and so it is of great interest to develop optimal chemotherapy treatment strategies. In this work, we incorporate an immune response into a stem cell model of AML, since we find that previous models lacking an immune response are inappropriate for deriving optimal control strategies. Using optimal control theory, we produce continuous controls and bang-bang controls, corresponding to a range of objectives and parameter choices. Through example calculations, we provide a practical approach to applying optimal control using Pontryagins maximum principle. In particular, we describe and explore factors that have a profound influence on numerical convergence. We find that the convergence behaviour is sensitive to the method of control updating, the nature of the control, and to the relative weighting of terms in the objective function. All codes we use to implement optimal control are made available.

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bioRxiv2018

Mathematical modelling of serine integrase - mediated gene assembly

Site-specific recombination promoted by serine integrases can be used for ordered assembly of DNA fragments into larger arrays. When a plasmid vector is included in the assembly, the circular product DNA molecules can transform E. coli cells. A convenient \"one-pot\" method using a single integrase involves recombination between pairs of matched orthogonal attachment sites, allowing assembly of up to six DNA fragments. However, the efficiency of assembly decreases as the number of fragments increases, due to accumulation of incorrect products in which recombination has occurred between mismatched sites. Here we use mathematical modelling to analyse published experimental data for the assembly reactions and suggest potential ways to improve assembly efficiency. We assume that unproductive synaptic complexes between pairs of mismatched sites become predominant as the number and diversity of sites increase. Our modelling predicts that the proportion of correct products can be improved by raising fragment DNA concentrations and lowering plasmid vector concentration. The assembly kinetics is affected by the inactivation of integrase in vitro. The model also predicts that the precision might be improved by redesigning the location of attachment sites on fragments to reduce the formation of the wrong circular products. Our preliminary experimental explorations of assembly with {phi}C31 integrase confirmed that assembly efficiency might be improved. However, optimization of efficiency would require more experimental work on the mechanisms of wrong product formation. The use of a more efficient integrase (such as Bxb1) might be a more promising approach to assembly optimization. The model might be easily extended for different integrases or/and different assembly strategies, such as those using multiple integrases or multiple substrate structures.

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