Metabolic Engineering Tools Research Articles

Dataset for supporting a modular autoinduction device for control of gene expression in Bacillus subtilis.

Modular and tuneable genetic tools for Metabolic Engineering fuels the development of chassis for the efficient production of biocompounds at industrial scale. We have constructed an autoinduction device for gene expression in Bacillus subtilis based on the LuxR/I quorum sensing system [1]. Here, we present raw and processed data regarding to B. subtilis growth measured as OD600, performed in three different scales: microcultivation on 96-well plates (200 µL), test tubes (12 mL), and Erlenmeyer flasks (50 mL). We also present raw and processed data on gene expression measured as GFP fluorescence (485/535 nm), luminescence and riboflavin production. Measurements were performed on a microplate reader Tecan 200 PRO (iControl software) and on spectrophotometer (Thermo Fisher Scientific GENESYS 10S UV-Vis). Processed data are presented as product/OD600, maximum and minimum promoter activity, fold of induction, and the induction OD600.

Production of Terpenoids by Synthetic Biology Approaches.

Terpenoids are a large family of natural products with remarkable diverse biological functions, and have a wide range of applications as pharmaceuticals, flavors, pigments, and biofuels. Synthetic biology is presenting possibilities for sustainable and efficient production of high value-added terpenoids in engineered microbial cell factories, using Escherichia coli and Saccharomyces cerevisiae which are identified as well-known industrial workhorses. They also provide a promising alternative to produce non-native terpenes on account of available genetic tools in metabolic engineering and genome editing. In this review, we summarize the recent development in terpenoids production by synthetic biology approaches.

Flux Balance Analysis for Media Optimization and Genetic Targets to Improve Heterologous Siderophore Production.

SummarySiderophores are small molecule metal chelators secreted in sparse quantities by their native microbial hosts but can be engineered for enhanced production from heterologous hosts like Escherichia coli. These molecules have been proved to be capable of binding heavy metals of commercial and/or environmental interest. In this work, we incorporated, as needed, the appropriate pathways required to produce several siderophores (anguibactin, vibriobactin, bacillibactin, pyoverdine, and enterobactin) into the base E. coli K-12 MG1655 metabolic network model to computationally predict, via flux balance analysis methodologies, gene knockout targets, gene over-expression targets, and media modifications capable of improving siderophore reaction flux. E. coli metabolism proved supportive for the underlying production mechanisms of various siderophores. Within such a framework, the gene deletion and over-expression targets identified, coupled with complementary insights from medium optimization predictions, portend experimental implementation to both enable and improve heterologous siderophore production. Successful production of siderophores would then spur novel metal-binding applications.

Tailor-made sRNAs: a plasmid tool to control the expression of target mRNAs in Pseudomonas putida

Pseudomonas putida is a highly attractive production system for industrial needs. However, for its improvement as a biocatalyst at the industrial level, modulation of its gene expression is urgently needed. We report the construction of a plasmid expressing a small RNA-based system with the potential to be used for different purposes. Due to the small RNAs modular composition, the design facilities and ability to tune gene expression, they constitute a powerful tool in genetic and metabolic engineering. In the tool presented here, customized sRNAs are expressed from a plasmid and specifically directed to any region of a chosen target. Expression of these customized sRNAs is shown to differentially modulate the level of endogenous and heterologous reporter genes. The antisense interaction of the sRNA with the mRNA produces different outcomes. Depending on the particularity of each sRNA-target mRNA pair, we demonstrate the duality of this system, which is able either to decrease or increase the expression of the same given gene. This system combines high specificity with the potential to be widely applied, due to its predicted ability to modulate the expression of virtually any given gene. This plasmid can be used to redesign P. putida metabolism, fulfilling an important industrial gap.

An Overview of Potential Oleaginous Microorganisms and Their Role in Biodiesel and Omega-3 Fatty Acid-Based Industries.

Microorganisms are known to be natural oil producers in their cellular compartments. Microorganisms that accumulate more than 20% w/w of lipids on a cell dry weight basis are considered as oleaginous microorganisms. These are capable of synthesizing vast majority of fatty acids from short hydrocarbonated chain (C6) to long hydrocarbonated chain (C36), which may be saturated (SFA), monounsaturated (MUFA), or polyunsaturated fatty acids (PUFA), depending on the presence and number of double bonds in hydrocarbonated chains. Depending on the fatty acid profile, the oils obtained from oleaginous microorganisms are utilized as feedstock for either biodiesel production or as nutraceuticals. Mainly microalgae, bacteria, and yeasts are involved in the production of biodiesel, whereas thraustochytrids, fungi, and some of the microalgae are well known to be producers of very long-chain PUFA (omega-3 fatty acids). In this review article, the type of oleaginous microorganisms and their expertise in the field of biodiesel or omega-3 fatty acids, advances in metabolic engineering tools for enhanced lipid accumulation, upstream and downstream processing of lipids, including purification of biodiesel and concentration of omega-3 fatty acids are reviewed.

CAMERS-B: CRISPR/Cpf1 assisted multiple-genes editing and regulation system for Bacillus subtilis.

The clustered regularly interspaced short palindromic repeats and CRISPR-associated proteins (CRISPR-Cas) systems have been widely used in genome editing and transcriptional regulation. In this study, by engineering the Francisella novicida U112 CRISPR/Cpf1 system, a powerful tool called CRISPR/Cpf1 assisted multiple-genes editing and regulation system for B. subtilis was constructed for engineering Bacillus subtilis, and a synthetic oligos mediated assembly of CRISPR RNA (crRNA) array method was created to build crRNA array. This system can achieve the double genes in-frame knocking out, multiple point mutations (up to six), or single gene insertion at a time with 100% efficiency. In addition, transcriptional regulation systems were also developed using the DNase deactivated Cas protein (dCpf1) and a transcription factor RemA, which can implement repression and activation on multiple-genes concurrently. Finally, as a proof-of-concept demonstration, the synthesis pathways of N-acetylglucosamine and acetoin in B. subtilis were engineered by using this system. Overall, we provide effective tools for genome editing and metabolic engineering of B. subtilis cell factories to produce various biochemicals.

Quorum Sensing System Used as a Tool in Metabolic Engineering.

Quorum sensing (QS) is a ubiquitous cell-cell communication mechanism in microbes that coordinates population-level cell behaviors, such as biofilm production, virulence, swarming motility, and bacterial persistence. Efforts to engineer QS systems to take part in metabolic network regulation represent a promising strategy for synthetic biology and pathway engineering. Recently, design, construction, and implementation of QS circuits for programmed control of bacterial phenotypes and metabolic pathways have gained much attention, but have not been reviewed recently. In this article, the architectural organizations and genetic contributions of the naturally occurring QS components to understand the mechanisms are summarized. Then, the most recent progress in application of QS toolkits to develop synthetic networks for novel cell behaviors creation and metabolic pathway engineering is highlighted. The current challenges in large-scale application of these QS circuits in synthetic biology and metabolic engineering fields are discussed and future perspectives for further engineering efforts are provided.

Development of a CRISPR/Cas9n-based tool for metabolic engineering of Pseudomonas putida for ferulic acid-to-polyhydroxyalkanoate bioconversion

Ferulic acid is a ubiquitous phenolic compound in lignocellulose, which is recognized for its role in the microbial carbon catabolism and industrial value. However, its recalcitrance and toxicity poses a challenge for ferulic acid-to-bioproducts bioconversion. Here, we develop a genome editing strategy for Pseudomonas putida KT2440 using an integrated CRISPR/Cas9n-λ-Red system with pyrF as a selection marker, which maintains cell viability and genetic stability, increases mutation efficiency, and simplifies genetic manipulation. Via this method, four functional modules, comprised of nine genes involved in ferulic acid catabolism and polyhydroxyalkanoate biosynthesis, were integrated into the genome, generating the KTc9n20 strain. After metabolic engineering and optimization of C/N ratio, polyhydroxyalkanoate production was increased to ~270 mg/L, coupled with ~20 mM ferulic acid consumption. This study not only establishes a simple and efficient genome editing strategy, but also offers an encouraging example of how to apply this method to improve microbial aromatic compound bioconversion.

Improving glucose and xylose assimilation in Azotobacter vinelandii by adaptive laboratory evolution.

Azotobacter vinelandii is a microorganism with biotechnological potential because its ability to produce alginate and polyhydroxybutyrate. Large-scale biotechnological processes are oriented to sustainable production by using biomass hydrolysates that are mainly composed by glucose and xylose. In the present study, it was observed that A. vinelandii was unable to consume xylose as the sole carbon source and that glucose assimilation in the presence of xylose was negatively affected. Adaptive Laboratory Evolution (ALE) was used as a metabolic engineering tool in A. vinelandii, to improve both carbohydrate assimilation. As a result of ALE process, the CT387 strain was obtained. The evolved strain (CT387) grown in shaken flask cultivations with xylose (8gL-1) and glucose (2gL-1), showed an increase of its specific growth rate (µ), as well as of its glucose and xylose uptake rates of 2, 6.45 and 3.57-fold, respectively, as compared with the parental strain. At bioreactor level, the µ, the glucose consumption rate and the relative expression of gluP that codes for the glucose permease in the evolved strain were also higher than in the native strain (1.53, 1.29 and 18-fold, respectively). Therefore, in the present study, we demonstrated the potential of ALE as a metabolic engineering tool for improving glucose and xylose consumption in A. vinelandii.

A New Biosensor for Stilbenes and a Cannabinoid Enabled by Genome Mining of a Transcriptional Regulator.

In vivo biosensors are powerful tools for metabolic engineering and synthetic biology applications. However, the development of biosensors is hindered by the limited number of characterized transcriptional regulators. The versatile sensing abilities of microbes and genome sequences available hold great potential for developing novel biosensors via genome mining for new transcriptional regulators. Here we report the development and engineering of a new stilbene-responsive biosensor discovered by mining the Novosphingobium aromaticivorans DSM 12444 genome. The biosensor can distinguish resveratrol from its precursors, p-coumaric acid and trans-cinnamic acid. Remarkably, it can detect other biologically active stilbenes with resorcinol groups, and cannabidiolic acid with a β-resorcylic acid functional group. When coupled to resveratrol biosynthesis enzymes, the biosensor can sense altered resveratrol production in cells, demonstrating a 667-fold enrichment in one round of fluorescence-activated cell sorting. Our biosensor will be potentially applicable to metabolic engineering of microbial cell factories for production of stilbenes and cannabinoids.

Development of a Quorum-Sensing Based Circuit for Control of Coculture Population Composition in a Naringenin Production System.

As synthetic biology and metabolic engineering tools improve, it is feasible to construct more complex microbial synthesis systems that may be limited by the machinery and resources available in an individual cell. Coculture fermentation is a promising strategy for overcoming these constraints by distributing objectives between subpopulations, but the primary method for controlling the composition of the coculture of production systems has been limited to control of the inoculum composition. We have developed a quorum sensing (QS)-based growth-regulation circuit that provides an additional parameter for regulating the composition of a coculture over the course of the fermentation. Implementation of this tool in a naringenin-producing coculture resulted in a 60% titer increase over a system that was optimized by varying inoculation ratios only. We additionally demonstrated that the growth control circuit can be implemented in combination with a communication module that couples transcription in one subpopulation to the cell-density of the other population for coordination of behavior, resulting in an additional 60% improvement in naringenin titer.

Reconstruction, verification and in-silico analysis of a genome-scale metabolic model of bacterial cellulose producing Komagataeibacter xylinus.

In this study, a comprehensive genome-scale metabolic network of Komagataeibacter xylinus as the model microorganism was reconstructed based on genome annotation, for better understanding of metabolic growth and biosynthesis of bacterial cellulose (BC). The reconstructed network included 640 genes, 783 metabolic reactions and 865 metabolites. The model was completely successful to predict the lack of growth under anaerobic conditions. Model validation by the data for the growth of acetic acid bacteria with ethanol-limited chemostat cultures showed that there is a good agreement for the O2 and CO2 fluxes with actual growth conditions. Then the model was used to forecast the simultaneous production of BC and by-products. The obtained data showed that the rate of BC production is consistent with experimental data with an accuracy of 93.7%. Finally, the study of flux balance analysis (FBA) data showed that the pentose phosphate pathway and the TCA cycle play an important role in growth-promoting metabolism in K. xylinus and have a close relationship with BC biosynthesis. By integrating this model with various metabolic engineering and systems biology tools in the future, it is possible to overcome the common challenges in the large-scale BC production, such as low yield and productivity.

Construction of a switchable synthetic Escherichia coli for aromatic amino acids by a tunable switch.

Escherichia coli, a model microorganism for which convenient metabolic engineering tools are available and that grows quickly in cheap media, has been widely used in the production of valuable chemicals, including aromatic amino acids. As the three aromatic amino acids, L-tryptophan, L-tyrosine, and L-phenylalanine, share the same precursors, to increase the titer of a specific aromatic amino acid, the branch pathways to the others are usually permanently inactivated, which leads to the generation of auxotrophic strains. In this study, a tunable switch that can toggle between different states was constructed. Then, a switchable and non-auxotrophic E. coli strain for synthesis of aromatic amino acids was constructed using this tunable switch. By adding different inducers to cultures, three different production patterns of aromatic amino acids by the engineered strain could be observed. This tunable switch can also be applied in regulating other branch pathways and in other bacteria.

Application of Stable Isotope Tracing to Elucidate Metabolic Dynamics During Yarrowia lipolytica α-Ionone Fermentation.

SummaryTargeted metabolite analysis in combination with 13C-tracing is a convenient strategy to determine pathway activity in biological systems; however, metabolite analysis is limited by challenges in separating and detecting pathway intermediates with current chromatographic methods. Here, a hydrophilic interaction chromatography tandem mass spectrometry approach was developed for improved metabolite separation, isotopologue analysis, and quantification. The physiological responses of a Yarrowia lipolytica strain engineered to produce ∼400 mg/L α-ionone and temporal changes in metabolism were quantified (e.g., mevalonate secretion, then uptake) indicating bottleneck shifts in the engineered pathway over the course of fermentation. Dynamic labeling results indicated limited tricarboxylic acid cycle label incorporation and, combined with a measurable ATP shortage during the high ionone production phase, suggested that electron transport and oxidative phosphorylation may limit energy supply and strain performance. The results provide insights into terpenoid pathway metabolic dynamics of non-model yeasts and offer guidelines for sensor development and modular engineering.

Recent Advancement of Microbial Production of Curcuminoids and Its Industrial Applications: A Review

Turmeric (from Curcuma longa) is a yellow colored spice commonly used in daily diet. It has been extensively used in traditional medicine since ancient times to treat various nervous and disorder disease. A little was known about the biosynthesis curcuminoid in turmeric and identified the enzymes involved in the curcuminoid biosynthetic pathway and confirmed the involvement of the phenylpropanoid pathway in the production of these compounds in plants. Traditionally known curcumin has emerged as a modern biological regulator curcuminoids, agroclimatic and soil environmental variation are also influencing the curcumin synthase gene expression, which is correlated with curcumin yield in turmeric cultivars. Microbial production of curcuminoids is very promising and production yield can be improved by using synthetic biology approaches and metabolic engineering tools, to make heterologous production competitive with the current process of curcuminoid’s extraction from plants. Type III polyketide synthases are responsible for the production of curcuminoids. Among those DCS and CURS enzymes have been used to synthesize curcuminoids. Synthetic biology and metabolite engineering approaches have generated microbial cell factories that can allow the for the mass production of pharmaceutically and nutraceuticals important microbial metabolites in an environmentally friendly and efficient way. Considering a wide pharmaceutical, industrial and health beneficial applications of curcuminoids, this review focused on microbial production of curcuminoids and substrate recognizing and regulatory mechanism of curcuminoid synthase and obtain the mutant enzymes using mutagenesis study and synthetic biology approaches.

Progress and challenges in engineering cyanobacteria as chassis for light‐driven biotechnology

SummaryCyanobacteria are prokaryotic phototrophs that, in addition to being excellent model organisms for studying photosynthesis, have tremendous potential for light‐driven synthetic biology and biotechnology. These versatile and resilient microorganisms harness the energy of sunlight to oxidise water, generating chemical energy (ATP) and reductant (NADPH) that can be used to drive sustainable synthesis of high‐value natural products in genetically modified strains. In this commentary article for the Synthetic Microbiology Caucus we discuss the great progress that has been made in engineering cyanobacterial hosts as microbial cell factories for solar‐powered biosynthesis. We focus on some of the main areas where the synthetic biology and metabolic engineering tools in cyanobacteria are not as advanced as those in more widely used heterotrophic chassis, and go on to highlight key improvements that we feel are required to unlock the full power of cyanobacteria for future green biotechnology.

Harnessing microbial metabolomics for industrial applications.

Metabolome defines a set of metabolites present in a biological sample, which provides an immediate and dynamic recording of microbes in response to genetic and/or environmental perturbations. In recent years, metabolomics in combination with other omics diagnostic tools such as genomics, transcriptomics and proteomics is focused on addressing open biological questions that accelerate our understanding of the system as a whole and boost the use of systems metabolic engineering tools in industrial settings. In this review article, we summarize the applications of metabolomics to industrial microbial fermentations with respect to the bulk production of organic acids, amino acids, enzymes, antibiotics and therapeutic proteins. In addition, future prospects regarding metabolomics-assisted research are provided.

Screening for functional IRESes using \u03b1-complementation system of \u03b2-galactosidase in Pichia pastoris

BackgroundPichia pastoris is becoming a promising chassis cell for metabolic engineering and synthetic biology after its whole genome and transcriptome sequenced. However, the current systems for multigene co-expression in P. pastoris are not efficient. The internal ribosome entry site (IRES) has an ability to recruit the ribosome to initiate protein synthesis by cap-independent translation manner. This study seeks to screen IRES sequences that are functional in P. pastoris, which will allow P. pastoris to express multiple proteins in a single mRNA and increase its efficacy as a platform for metabolic engineering and synthetic biology.ResultsIn order to efficiently screen the IRES sequences, we first set out to create a screening system using LacZ gene. Due to the cryptic transcription of the LacZ gene, we established the α-complementation system of β-galactosidase in P. pastoris with the optimum length of the α-complementing peptide at ~ 92 amino acids. The optimal α-complementing peptide was then used as the second reporter to screen IRESes in the engineered GS115 expressing the corresponding ω-peptide. A total of 34 reported IRESes were screened. After ruling out all false positive or negative IRESes, only seven IRESes were functional in P. pastoris, which were from TEV, PVY, RhPV, TRV, KSHV, crTMV viruses and the 5′-UTR of the YAP1 gene of S. cerevisiae.ConclusionsWe showed here that α-complementation also works in P. pastoris and it can be used in a variety of in vivo studies. The functional IRESes screened in this study can be used to introduce multiple genes into P. pastoris via a prokaryotic-like polycistronic manner, which provided new efficient tools for metabolic engineering and synthetic biology researches in P. pastoris.

Transcriptional programming using engineered systems of transcription factors and genetic architectures

The control of gene expression is an important tool for metabolic engineering, the design of synthetic gene networks, and protein manufacturing. The most successful approaches to date are based on modulating mRNA synthesis via an inducible coupling to transcriptional effectors. Here we present a biological programming structure that leverages a system of engineered transcription factors and complementary genetic architectures. We use a modular design strategy to create 27 non-natural and non-synonymous transcription factors using the lactose repressor topology as a guide. To direct systems of engineered transcription factors we employ parallel and series genetic (DNA) architectures and confer fundamental and combinatorial logical control over gene expression. Here we achieve AND, OR, NOT, and NOR logical controls in addition to two non-canonical half-AND operations. The basic logical operations and corresponding parallel and series genetic architectures represent the building blocks for subsequent combinatorial programs, which display both digital and analog performance.

Overexpression of the gene encoding alternative oxidase for enhanced glucose consumption in oxalic acid producing Aspergillus niger expressing oxaloacetate hydrolase gene

The filamentous fungus Aspergillus niger is a well-known hyper-producer of organic acids such as citric acid and oxalic acid. This fungus possesses the cyanide (CN)-insensitive respiration pathway consisting of alternative oxidase (EC 1.10.3.11; AOX), in addition to the cytochrome pathway. Since this CN-insensitive respiration pathway reoxidizes NADH without ATP production, it contributes to continuous glycolysis in A.niger. In this study, to show the availability of aoxA gene encoding AOX as a tool for metabolic engineering, we generated efficient oxalic acid (OA)-producers by genetic engineering of A.niger using aoxA gene. The OA-producing strain EOAH-1, generated by overexpression of the oxaloacetate hydrolase (EC 3.7.1.1; OAH) gene oahA in A.niger WU-2223L, produced 28g/L OA from 30g/L glucose during the 9-day cultivation period. Moreover, the strain EAOXOAH-1, generated by overexpression of both aoxA and oahA genes in strain WU-2223L, produced 28g/L OA during the 7-day cultivation period. Strain EAOXOAH-1 showed higher glucose consumption rate than EOAH-1 did, indicating that overexpression of aoxA contributed to the acceleration of glucose consumption, and that the OA production period was shortened by 2 days. Thus, we clearly show that AOX gene must be an effective tool in metabolic engineering for efficient organic acids production from carbohydrates.