Rational Metabolic Engineering Research Articles

Combining rational metabolic engineering and flux optimization strategies for efficient production of fumaric acid.

Fumaric acid is an important C4-dicarboxylic acid widely used in chemical, food, and pharmaceutical industries. Rational metabolic engineering together with flux optimization were performed for the development of an Escherichia coli strain capable of efficiently producing fumaric acid. The initial engineered strain, CWF4N overexpressing phosphoenolpyruvate carboxylase (PPC), produced 5.30 g/L of fumaric acid. Optimization of PPC flux by examining 24 types of synthetic PPC expression vectors further increased the titer up to 5.72 g/L with a yield of 0.432 g/g·glucose. Overexpression of the succinate dehydrogenase complex (sdhCDAB) led to an increase in carbon yield up to 0.493 g/g·glucose. Based on this mutant strain, citrate synthase (CS) was combinatorially overexpressed and balanced with PPC using 48 types of synthetic expression vectors. As a result, 6.24 g/L of fumaric acid was produced with a yield of 0.500 g/g·glucose. Fed-batch culture of this final strain allowed production of 25.5 g/L of fumaric acid with a yield of 0.366 g/g·glucose. Deletion of the aspA gene encoding aspartase and supplementation of aspartic acid further increased the fumaric acid titer to 35.1 g/L with a yield of 0.490 g/g·glucose.

Learning from the Steersman: A Natural History of Cybernetic Models

Cybernetic models rely on optimal control heuristics to predict the effects of metabolic regulation on the dynamics of biochemical reaction networks. Over the past 30+ years, this fertile paradigm has brought forth scores of research publications and has witnessed diverse applications ranging from bioprocess optimization and control to the redesign of cellular hosts through rational metabolic engineering. This review traces the historical development of the cybernetic modeling framework, beginning with its philosophical presuppositions and then following its progress from first-generation “lumped” cybernetic models to biochemically detailed second-generation models to recent “hybrid” cybernetic models that combine aspects of both first- and second-generation models. The broad and lasting influence of the cybernetic modeling approach is due in large part to the fact that it has remained true to its foundational principles while adapting over time to meet the changing demands of biotechnology research.

Deoxycytidine production by a metabolically engineered Escherichia coli strain.

BackgroundRational engineering studies for deoxycytidine production were initiated due to low intracellular levels and tight regulation. To achieve high-level production of deoxycytidine, a useful precursor of decitabine, genes related to feed-back inhibition as well as the biosynthetic pathway were engineered. Additionally, we predicted the impact of individual gene expression levels on a complex metabolic network by microarray analysis. Based on these findings, we demonstrated rational metabolic engineering strategies capable of producing deoxycytidine.ResultsTo prepare the deoxycytidine producing strain, we first deleted 3 degradation enzymes in the salvage pathway (deoA, udp, and deoD) and 4 enzymes involved in the branching pathway (dcd, cdd, codA and thyA) to completely eliminate degradation of deoxycytidine. Second, purR, pepA and argR were knocked out to prevent feedback inhibition of CarAB. Third, to enhance influx to deoxycytidine, we investigated combinatorial expression of pyrG, T4 nrdCAB and yfbR. The best strain carried pETGY (pyrG-yfbR) from the possible combinatorial plasmids. The resulting strain showed high deoxycytidine yield (650 mg/L) but co-produced byproducts. To further improve deoxycytidine yield and reduce byproduct formation, pgi was disrupted to generate a sufficient supply of NADPH and ribose. Overall, in shake-flask cultures, the resulting strain produced 967 mg/L of dCyd with decreased byproducts.ConclusionsWe demonstrated that deoxycytidine could be readily achieved by recombineering with biosynthetic genes and regulatory genes, which appeared to enhance the supply of precursors for synthesis of carbamoyl phosphate, based on transcriptome analysis. In addition, we showed that carbon flux rerouting, by disrupting pgi, efficiently improved deoxycytidine yield and decreased byproduct content.Electronic supplementary materialThe online version of this article (doi:10.1186/s12934-015-0291-8) contains supplementary material, which is available to authorized users.

Genome-scale strain designs based on regulatory minimal cut sets.

Stoichiometric and constraint-based methods of computational strain design have become an important tool for rational metabolic engineering. One of those relies on the concept of constrained minimal cut sets (cMCSs). However, as most other techniques, cMCSs may consider only reaction (or gene) knockouts to achieve a desired phenotype. We generalize the cMCSs approach to constrained regulatory MCSs (cRegMCSs), where up/downregulation of reaction rates can be combined along with reaction deletions. We show that flux up/downregulations can virtually be treated as cuts allowing their direct integration into the algorithmic framework of cMCSs. Because of vastly enlarged search spaces in genome-scale networks, we developed strategies to (optionally) preselect suitable candidates for flux regulation and novel algorithmic techniques to further enhance efficiency and speed of cMCSs calculation. We illustrate the cRegMCSs approach by a simple example network and apply it then by identifying strain designs for ethanol production in a genome-scale metabolic model of Escherichia coli. The results clearly show that cRegMCSs combining reaction deletions and flux regulations provide a much larger number of suitable strain designs, many of which are significantly smaller relative to cMCSs involving only knockouts. Furthermore, with cRegMCSs, one may also enable the fine tuning of desired behaviours in a narrower range. The new cRegMCSs approach may thus accelerate the implementation of model-based strain designs for the bio-based production of fuels and chemicals. MATLAB code and the examples can be downloaded at http://www.mpi-magdeburg.mpg.de/projects/cna/etcdownloads.html. krishna.mahadevan@utoronto.ca or klamt@mpi-magdeburg.mpg.de Supplementary data are available at Bioinformatics online.

Increased production of inosine and guanosine by means of metabolic engineering of the purine pathway in Ashbya gossypii.

BackgroundInosine and guanosine monophosphate nucleotides are convenient sources of the umami flavor, with attributed beneficial health effects that have renewed commercial interest in nucleotide fermentations. Accordingly, several bacterial strains that excrete high levels of inosine and guanosine nucleosides are currently used in the food industry for this purpose.ResultsIn the present study, we show that the filamentous fungus Ashbya gossypii, a natural riboflavin overproducer, excretes high amounts of inosine and guanosine nucleosides to the culture medium. Following a rational metabolic engineering approach of the de novo purine nucleotide biosynthetic pathway, we increased the excreted levels of inosine up to 27-fold.ConclusionsWe generated Ashbya gossypii strains with improved production titers of inosine and guanosine. Our results point to Ashbya gossypii as the first eukaryotic microorganism representing a promising candidate, susceptible to further manipulation, for industrial nucleoside fermentation.Electronic supplementary materialThe online version of this article (doi:10.1186/s12934-015-0234-4) contains supplementary material, which is available to authorized users.

Genome-scale modeling for metabolic engineering.

We focus on the application of constraint-based methodologies and, more specifically, flux balance analysis in the field of metabolic engineering, and enumerate recent developments and successes of the field. We also review computational frameworks that have been developed with the express purpose of automatically selecting optimal gene deletions for achieving improved production of a chemical of interest. The application of flux balance analysis methods in rational metabolic engineering requires a metabolic network reconstruction and a corresponding in silico metabolic model for the microorganism in question. For this reason, we additionally present a brief overview of automated reconstruction techniques. Finally, we emphasize the importance of integrating metabolic networks with regulatory information-an area which we expect will become increasingly important for metabolic engineering-and present recent developments in the field of metabolic and regulatory integration.

Engineering the supply chain for protein production/secretion in yeasts and mammalian cells.

Metabolic bottlenecks play an increasing role in yeasts and mammalian cells applied for high-performance production of proteins, particularly of pharmaceutical ones that require complex posttranslational modifications. We review the present status and developments focusing on the rational metabolic engineering of such cells to optimize the supply chain for building blocks and energy. Methods comprise selection of beneficial genetic modifications, rational design of media and feeding strategies. Design of better producer cells based on whole genome-wide metabolic network analysis becomes increasingly possible. High-resolution methods of metabolic flux analysis for the complex networks in these compartmented cells are increasingly available. We discuss phenomena that are common to both types of organisms but also those that are different with respect to the supply chain for the production and secretion of pharmaceutical proteins.

An evolutionary metabolic engineering approach for enhancing lipogenesis in Yarrowia lipolytica

Lipogenic organisms provide an ideal platform for biodiesel and oleochemical production. Through our previous rational metabolic engineering efforts, lipogenesis titers in Yarrowia lipolytica were significantly enhanced. However, the resulting strain still suffered from decreased biomass generation rates. Here, we employ a rapid evolutionary metabolic engineering approach linked with a floating cell enrichment process to improve lipogenesis rates, titers, and yields. Through this iterative process, we were able to ultimately improve yields from our prior strain by 55% to achieve production titers of 39.1g/L with upwards of 76% of the theoretical maximum yield of conversation. Isolated cells were saturated with up to 87% lipid content. An average specific productivity of 0.56g/L/h was achieved with a maximum instantaneous specific productivity of 0.89g/L/h during the lipid production phase in fermentation. Genomic sequencing of the evolved strains revealed a link between a decrease/loss of function mutation of succinate semialdehyde dehydrogenase, uga2, suggesting the importance of gamma-aminobutyric acid assimilation in lipogenesis. This linkage was validated through gene deletion experiments. This work presents an improved host strain that can serve as a platform for efficient oleochemical production.

Cyanobacterial biofuels: new insights and strain design strategies revealed by computational modeling.

BackgroundCyanobacteria are increasingly recognized as promising cell factories for the production of renewable biofuels and chemical feedstocks from sunlight, CO2, and water. However, most biotechnological applications of these organisms are still characterized by low yields. Increasing the production performance of cyanobacteria remains therefore a crucial step.ResultsIn this work we use a stoichiometric network model of Synechocystis sp. PCC 6803 in combination with CASOP and minimal cut set analysis to systematically identify and characterize suitable strain design strategies for biofuel synthesis, specifically for ethanol and isobutanol. As a key result, improving upon other works, we demonstrate that higher-order knockout strategies exist in the model that lead to coupling of growth with high-yield biofuel synthesis under phototrophic conditions. Enumerating all potential knockout strategies (cut sets) reveals a unifying principle behind the identified strain designs, namely to reduce the ratio of ATP to NADPH produced by the photosynthetic electron transport chain. Accordingly, suitable knockout strategies seek to block cyclic and other alternate electron flows, such that ATP and NADPH are exclusively synthesized via the linear electron flow whose ATP/NADPH ratio is below that required for biomass synthesis. The products of interest are then utilized by the cell as sinks for reduction equivalents in excess. Importantly, the calculated intervention strategies do not rely on the assumption of optimal growth and they ensure that maintenance metabolism in the absence of light remains feasible. Our analyses furthermore suggest that a moderately increased ATP turnover, realized, for example, by ATP futile cycles or other ATP wasting mechanisms, represents a promising target to achieve increased biofuel yields.ConclusionOur study reveals key principles of rational metabolic engineering strategies in cyanobacteria towards biofuel production. The results clearly show that achieving obligatory coupling of growth and product synthesis in photosynthetic bacteria requires fundamentally different intervention strategies compared to heterotrophic organisms.Electronic supplementary materialThe online version of this article (doi:10.1186/s12934-014-0128-x) contains supplementary material, which is available to authorized users.

Modeling of Zymomonas mobilis central metabolism for novel metabolic engineering strategies.

Mathematical modeling of metabolism is essential for rational metabolic engineering. The present work focuses on several types of modeling approach to quantitative understanding of central metabolic network and energetics in the bioethanol-producing bacterium Zymomonas mobilis. Combined use of Flux Balance, Elementary Flux Mode, and thermodynamic analysis of its central metabolism, together with dynamic modeling of the core catabolic pathways, can help to design novel substrate and product pathways by systematically analyzing the solution space for metabolic engineering, and yields insights into the function of metabolic network, hardly achievable without applying modeling tools.

Evolutionary engineering of yeast.

Evolutionary engineering is an inverse metabolic engineering strategy which is based on increasing genetic diversity and screening large populations for desired phenotypes. This strategy is highly advantageous in certain situations over rational metabolic engineering approaches, since there is little or no requirement of detailed genetic background information for the trait of interest. Here, we describe the experimental methodology for selecting stress-resistant yeast strains via evolutionary engineering approach by either serial batch or chemostat cultivations.

Engineering of carboligase activity reaction in Candida glabrata for acetoin production

Utilization of Candida glabrata overproducing pyruvate is a promising strategy for high-level acetoin production. Based on the known regulatory and metabolic information, acetaldehyde and thiamine were fed to identify the key nodes of carboligase activity reaction (CAR) pathway and provide a direction for engineering C. glabrata. Accordingly, alcohol dehydrogenase, acetaldehyde dehydrogenase, pyruvate decarboxylase, and butanediol dehydrogenase were selected to be manipulated for strengthening the CAR pathway. Following the rational metabolic engineering, the engineered strain exhibited increased acetoin biosynthesis (2.24g/L). In addition, through in silico simulation and redox balance analysis, NADH was identified as the key factor restricting higher acetoin production. Correspondingly, after introduction of NADH oxidase, the final acetoin production was further increased to 7.33g/L. By combining the rational metabolic engineering and cofactor engineering, the acetoin-producing C. glabrata was improved stepwise, opening a novel pathway for rational development of microorganisms for bioproduction.

Lignification in Sugarcane: Biochemical Characterization, Gene Discovery, and Expression Analysis in Two Genotypes Contrasting for Lignin Content

Sugarcane (Saccharum spp.) is currently one of the most efficient crops in the production of first-generation biofuels. However, the bagasse represents an additional abundant lignocellulosic resource that has the potential to increase the ethanol production per plant. To achieve a more efficient conversion of bagasse into ethanol, a better understanding of the main factors affecting biomass recalcitrance is needed. Because several studies have shown a negative effect of lignin on saccharification yield, the characterization of lignin biosynthesis, structure, and deposition in sugarcane is an important goal. Here, we present, to our knowledge, the first systematic study of lignin deposition during sugarcane stem development, using histological, biochemical, and transcriptional data derived from two sugarcane genotypes with contrasting lignin contents. Lignin amount and composition were determined in rind (outer) and pith (inner) tissues throughout stem development. In addition, the phenolic metabolome was analyzed by ultra-high-performance liquid chromatography-mass spectrometry, which allowed the identification of 35 compounds related to the phenylpropanoid pathway and monolignol biosynthesis. Furthermore, the Sugarcane EST Database was extensively surveyed to identify lignin biosynthetic gene homologs, and the expression of all identified genes during stem development was determined by quantitative reverse transcription-polymerase chain reaction. Our data provide, to our knowledge, the first in-depth characterization of lignin biosynthesis in sugarcane and form the baseline for the rational metabolic engineering of sugarcane feedstock for bioenergy purposes.

Development of Synechocystis sp. PCC 6803 as a Phototrophic Cell Factory

Cyanobacteria (blue-green algae) play profound roles in ecology and biogeochemistry. One model cyanobacterial species is the unicellular cyanobacterium Synechocystis sp. PCC 6803. This species is highly amenable to genetic modification. Its genome has been sequenced and many systems biology and molecular biology tools are available to study this bacterium. Recently, researchers have put significant efforts into understanding and engineering this bacterium to produce chemicals and biofuels from sunlight and CO2. To demonstrate our perspective on the application of this cyanobacterium as a photosynthesis-based chassis, we summarize the recent research on Synechocystis 6803 by focusing on five topics: rate-limiting factors for cell cultivation; molecular tools for genetic modifications; high-throughput system biology for genome wide analysis; metabolic modeling for physiological prediction and rational metabolic engineering; and applications in producing diverse chemicals. We also discuss the particular challenges for systems analysis and engineering applications of this microorganism, including precise characterization of versatile cell metabolism, improvement of product rates and titers, bioprocess scale-up, and product recovery. Although much progress has been achieved in the development of Synechocystis 6803 as a phototrophic cell factory, the biotechnology for “Compounds from Synechocystis” is still significantly lagging behind those for heterotrophic microbes (e.g., Escherichia coli).

New options to engineer biofuel microbes: Development and application of a high-throughput screening system

The number of recent efforts on rational metabolic engineering approaches to increase butanol production in Clostridium acetobutylicum are quite limited, demonstrating the physiological complexity of solventogenic clostridia. Since multiple largely unknown parameters determine a particular phenotype, an inverse strategy to select a phenotype of interest can be useful. However, the major constraint for explorative or combinatorial metabolic engineering approaches is the availability of a feasible screening method to select the desired phenotype from a large population in a high-throughput manner. Therefore, a semi-quantitative assay was developed to monitor alcohol production in microtiter cultures of C. acetobutylicum. The applicability of the screening system was evaluated by two examples. First, C. acetobutylicum ATCC 824 was chemically mutagenized and subjected to high butanol concentrations as a pre-selection step. Screening of the butanol-tolerant population resulted in the identification of mutants with >20% increased butanol production as compared to the wildtype. The second application example was based on a pre-engineered C. acetobutylicum strain with low acetone biosynthetic activity, but concomitantly reduced butanol titer. After chemical mutagenesis, a total of 4390 clones was analyzed and mutants with significantly increased butanol concentrations and similarly low acetone levels as the parental strain were selected. Thus, the suitability of the semi-quantitative screening system was validated, opening up new perspectives for combinatorial strategies to improve solventogenic clostridia and other biofuel microbes.

Stepwise increase of spinosad production in Saccharopolyspora spinosa by metabolic engineering

Rational metabolic and cellular engineering approaches are useful in improving strain performance. In the last years, several studies not only clarified the biosynthetic pathway of spinosad, but also provided useful information of metabolic restrictions in the spinosyn biosynthetic pathway. However, these studies overlooked the problem that the spinosyn biosynthetic pathway was unbalanced: the expression of six genes in the spinosyn biosynthetic pathway was insufficient; Saccharopolyspora spinosa accumulated useless compounds because of insufficient expression of SpnK. So a rational strain improvement strategy was developed to tune the unbalanced spinosyn biosynthetic pathway. First, we overexpressed spnK to increase the amount of the flux from rhamnosylated aglycone to pseudoaglycones (PSA). Then six genes (spnP, spnO, spnN, spnQ, spnR, and spnS) involved in forosamine biosynthesis and spnK were co-expressed in S. spinosa LU102 to convert the accumulated PSA to spinosad. The yield of spinosad in S. spinosa LU102 was 214mg/L, which was 2.6-fold higher than that in the wild-type S. spinosa (82mg/L). Finally, spinosad production in the tuned S. spinosa LU104 was further increased to 405mg/L, which was a 5.0-fold enhancement compared with the wild-type S. spinosa, by duplicating spnP, spnO, spnN, spnQ, spnR, spnS, spnK, gtt, gdh and kre genes.

Genome-scale metabolic model in guiding metabolic engineering of microbial improvement

In the past few decades, despite all the significant achievements in industrial microbial improvement, the approaches of traditional random mutation and selection as well as the rational metabolic engineering based on the local knowledge cannot meet today's needs. With rapid reconstructions and accurate in silico simulations, genome-scale metabolic model (GSMM) has become an indispensable tool to study the microbial metabolism and design strain improvements. In this review, we highlight the application of GSMM in guiding microbial improvements focusing on a systematic strategy and its achievements in different industrial fields. This strategy includes a repetitive process with four steps: essential data acquisition, GSMM reconstruction, constraints-based optimizing simulation, and experimental validation, in which the second and third steps are the centerpiece. The achievements presented here belong to different industrial application fields, including food and nutrients, biopharmaceuticals, biopolymers, microbial biofuel, and bioremediation. This strategy and its achievements demonstrate a momentous guidance of GSMM for metabolic engineering breeding of industrial microbes. More efforts are required to extend this kind of study in the meantime.

Synthesis of methyl ketones by metabolically engineered Escherichia coli

Methyl ketones are a group of highly reduced platform chemicals with widespread applications in the fragrance, flavor and pharmacological industries. Current methods for the industrial production of methyl ketones include oxidation of hydrocarbons, but recent advances in the characterization of methyl ketone synthases from wild tomato have sparked interest towards the development of microbial platforms for the industrial production of methyl ketones. A functional methyl ketone biosynthetic pathway was constructed in Escherichia coli by over-expressing two genes from Solanum habrochaites: shmks2, encoding a 3-ketoacyl-ACP thioesterase, and shmks1, encoding a beta-decarboxylase. These enzymes enabled methyl ketone synthesis from 3-ketoacyl-ACP, an intermediate in the fatty acid biosynthetic cycle. The production of 2-nonanone, 2-undecanone, and 2-tridecanone by MG1655 pTH-shmks2-shmks1 was initially detected by nuclear magnetic resonance and gas chromatography-mass spectrometry analyses at levels close to 6 mg/L. The deletion of major fermentative pathways leading to ethanol (adhE), lactate (ldhA), and acetate (pta, poxB) production allowed for the carbon flux to be redirected towards methyl ketone production, doubling total methyl ketone concentration. Variations in methyl ketone production observed under different working volumes in flask experiments led to a more detailed analysis of the effects of oxygen availability on methyl ketone concentration in order to determine optimal levels of oxygen. The methyl ketone concentration achieved with MG1655 ∆adhE ∆ldhA ∆poxB ∆pta pTrcHis2A-shmks2-shmks1, the best performer strain in this study, was approximately 500 mg/L, the highest reported for an engineered microorganism. Through the establishment of optimal operating conditions and by executing rational metabolic engineering strategies, we were able to increase methyl ketone concentrations by almost 75-fold from the initial confirmatory levels.

Xylose isomerase overexpression along with engineering of the pentose phosphate pathway and evolutionary engineering enable rapid xylose utilization and ethanol production by Saccharomyces cerevisiae

Xylose is the main pentose and second most abundant sugar in lignocellulosic feedstocks. To improve xylose utilization, necessary for the cost-effective bioconversion of lignocellulose, several metabolic engineering approaches have been employed in the yeast Saccharomyces cerevisiae. In this study, we describe the rational metabolic engineering of a S. cerevisiae strain, including overexpression of the Piromyces xylose isomerase gene (XYLA), Pichia stipitis xylulose kinase (XYL3) and genes of the non-oxidative pentose phosphate pathway (PPP). This engineered strain (H131-A3) was used to initialize a three-stage process of evolutionary engineering, through first aerobic and anaerobic sequential batch cultivation followed by growth in a xylose-limited chemostat. The evolved strain H131-A3-ALCS displayed significantly increased anaerobic growth rate (0.203±0.006h−1) and xylose consumption rate (1.866gg−1h−1) along with high ethanol conversion yield (0.41g/g). These figures exceed by a significant margin any other performance metrics on xylose utilization and ethanol production by S. cerevisiae reported to-date. Further inverse metabolic engineering based on functional complementation suggested that efficient xylose assimilation is attributed, in part, to the elevated expression level of xylose isomerase, which was accomplished through the multiple-copy integration of XYLA in the chromosome of the evolved strain.

New insights into the butyric acid metabolism of Clostridium acetobutylicum

Biosynthesis of acetone and n-butanol is naturally restricted to the group of solventogenic clostridia with Clostridium acetobutylicum being the model organism for acetone-butanol-ethanol (ABE) fermentation. According to limited genetic tools, only a few rational metabolic engineering approaches were conducted in the past to improve the production of butanol, an advanced biofuel. In this study, a phosphotransbutyrylase-(Ptb) negative mutant, C. acetobutylicum ptb::int(87), was generated using the ClosTron methodology for targeted gene knock-out and resulted in a distinct butyrate-negative phenotype. The major end products of fermentation experiments without pH control were acetate (3.2g/l), lactate (4.0g/l), and butanol (3.4g/l). The product pattern of the ptb mutant was altered to high ethanol (12.1g/l) and butanol (8.0g/l) titers in pH ≥ 5.0-regulated fermentations. Glucose fed-batch cultivation elevated the ethanol concentration to 32.4g/l, yielding a more than fourfold increased alcohol to acetone ratio as compared to the wildtype. Although butyrate was never detected in cultures of C. acetobutylicum ptb::int(87), the mutant was still capable to take up butyrate when externally added during the late exponential growth phase. These findings suggest that alternative pathways of butyrate re-assimilation exist in C. acetobutylicum, supposably mediated by acetoacetyl-CoA:acyl-CoA transferase and acetoacetate decarboxylase, as well as reverse reactions of butyrate kinase and Ptb with respect to previous studies.