In-depth characterization of genome-scale network reconstructions for the in vitro synthesis in cell-free systems.

Cell-free systems containing multiple enzymes are becoming an increasingly interesting tool for one-pot syntheses of biochemical compounds. To extensively explore the enormous wealth of enzymes in the biological space, we present methods for assembling and curing data from databases to apply them for the prediction of pathway candidates for directed enzymatic synthesis. We use Kyoto Encyclopedia of Genes and Genomes to establish single organism models and a pan-organism model that is combining the available data from all organisms listed there. We introduce a filtering scheme to remove data that are not suitable, for example, generic metabolites and general reactions. In addition, a valid stoichiometry of reactions is required for acceptance. The networks created are analyzed by graph theoretical methods to identify a set of metabolites that are potentially reachable from a defined set of starting metabolites. Thus, metabolites not connected to such starting metabolites cannot be produced unless new starting metabolites or reactions are introduced. The network models also comprise stoichiometric and thermodynamic data that allow the definition of constraints to identify potential pathways. The resulting data can be directly applied using existing or future pathway finding tools.

Network design and analysis for multi-enzyme biocatalysis.

BACKGROUND: As more and more biological reaction data become available, the full exploration of the enzymatic potential for the synthesis of valuable products opens up exciting new opportunities but is becoming increasingly complex. The manual design of multi-step biosynthesis routes involving enzymes from different organisms is very challenging. To harness the full enzymatic potential, we developed a computational tool for the directed design of biosynthetic production pathways for multi-step catalysis with in vitro enzyme cascades, cell hydrolysates and permeabilized cells. RESULTS: We present a method which encompasses the reconstruction of a genome-scale pan-organism metabolic network, path-finding and the ranking of the resulting pathway candidates for proposing suitable synthesis pathways. The network is based on reaction and reaction pair data from the Kyoto Encyclopedia of Genes and Genomes (KEGG) and the thermodynamics calculator eQuilibrator. The pan-organism network is especially useful for finding the most suitable pathway to a target metabolite from a thermodynamic or economic standpoint. However, our method can be used with any network reconstruction, e.g. for a specific organism. We implemented a path-finding algorithm based on a mixed-integer linear program (MILP) which takes into account both topology and stoichiometry of the underlying network. Unlike other methods we do not specify a single starting metabolite, but our algorithm searches for pathways starting from arbitrary start metabolites to a target product of interest. Using a set of biochemical ranking criteria including pathway length, thermodynamics and other biological characteristics such as number of heterologous enzymes or cofactor requirement, it is possible to obtain well-designed meaningful pathway alternatives. In addition, a thermodynamic profile, the overall reactant balance and potential side reactions as well as an SBML file for visualization are generated for each pathway alternative. CONCLUSION: We present an in silico tool for the design of multi-enzyme biosynthetic production pathways starting from a pan-organism network. The method is highly customizable and each module can be adapted to the focus of the project at hand. This method is directly applicable for (i) in vitro enzyme cascades, (ii) cell hydrolysates and (iii) permeabilized cells.

Synthesis of natural variants and synthetic derivatives of the cyclic nonribosomal peptide luminmide in permeabilized E. coli Nissle and product formation kinetics.

We used a recombinant, permeabilized E. coli Nissle strain harbouring the plu3263 gene cluster from Photorhabdus luminescens for the synthesis of luminmide type cyclic pentapeptides belonging to the class of nonribosomally biosynthesized peptides (NRP). Cells could be fully permeabilized using 1 % v/v toluene. Synthesis of luminmides was increased fivefold when 0.3 mM EDTA was added to the substrate mixture acting as an inhibitor of metal proteases. Luminmide formation was studied applying different amino acid concentrations. Apparent kinetic parameters for the synthesis of the main product luminmide A from leucine, phenylalanine and valine were calculated from the collected data. K sapp values ranged from 0.17 mM for leucine to 0.57 mM for phenylalanine, and r maxapp was about 3 × 10-8 mmol min-1(g CDW)-1). By removing phenylalanine from the substrate mixture, the formation of luminmide A was reduced tenfold while luminmide B was increased from 50 to 500 µg/l becoming the main product. Two new luminmides were synthesized in this study. Luminmide H incorporates tryptophan replacing phenylalanine in luminmide A. In luminmide I, leucine was replaced with 4,5-dehydro-leucine, a non-proteinogenic amino acid fed to the incubation mixture. Our study shows new opportunities for increasing the spectrum of luminmide variants produced, for improving production selectivity and for kinetic in vitro studies of the megasynthetases.

Selective oxidation of UDP-glucose to UDP-glucuronic acid using permeabilized Schizosaccharomyces pombe expressing human UDP-glucose 6-dehydrogenase.

OBJECTIVES: To use permeabilized cells of the fission yeast, Schizosaccharomyces pombe, that expresses human UDP-glucose 6-dehydrogenase (UGDH, EC 1.1.1.22), for the production of UDP-glucuronic acid from UDP-glucose. RESULTS: In cell extracts no activity was detected. Therefore, cells were permeabilized with 0.3 % (v/v) Triton X-100. After washing away all low molecular weight metabolites, the permeabilized cells were directly used as whole cell biocatalyst. Substrates were 5 mM UDP-glucose and 10 mM NAD(+). Divalent cations were not added to the reaction medium as they promoted UDP-glucose hydrolysis. With this reaction system 5 mM UDP-glucose were converted into 5 mM UDP-glucuronic acid within 3 h. CONCLUSIONS: Recombinant permeabilized cells of S. pombe can be used to synthesize UDP-glucuronic acid with 100 % yield and selectivity.

Identification of active elementary flux modes in mitochondria using selectively permeabilized CHO cells.

Metabolic compartmentation is a key feature of mammalian cells. Mitochondria are the powerhouse of eukaryotic cells, responsible for respiration and the TCA cycle. We accessed the mitochondrial metabolism of the economically important Chinese hamster ovary (CHO) cells using selective permeabilization. We tested key substrates without and with addition of ADP. Based on quantified uptake and production rates, we could determine the contribution of different elementary flux modes to the metabolism of a substrate or substrate combination. ADP stimulated the uptake of most metabolites, directly by serving as substrate for the respiratory chain, thus removing the inhibitory effect of NADH, or as allosteric effector. Addition of ADP favored substrate metabolization to CO2 and did not enhance the production of other metabolites. The controlling effect of ADP was more pronounced when we supplied metabolites to the first part of the TCA cycle: pyruvate, citrate, α-ketoglutarate and glutamine. In the second part of the TCA cycle, the rates were primarily controlled by the concentrations of C4-dicarboxylates. Without ADP addition, the activity of the pyruvate carboxylase-malate dehydrogenase-malic enzyme cycle consumed the ATP produced by oxidative phosphorylation, preventing its accumulation and maintaining metabolic steady state conditions. Aspartate was taken up only in combination with pyruvate, whose uptake also increased, a fact explained by complex regulatory effects. Isocitrate dehydrogenase and α-ketoglutarate dehydrogenase were identified as the key regulators of the TCA cycle, confirming existent knowledge from other cells. We have shown that selectively permeabilized cells combined with elementary mode analysis allow in-depth studying of the mitochondrial metabolism and regulation.

Multistep synthesis of UDP-glucose using tailored, permeabilized cells of E. coli.

We constructed and applied a recombinant, permeabilized Escherichia coli strain for the multistep synthesis of UDP-glucose. Sucrose phosphorylase (E.C. 2.4.1.7) of Leuconostoc mesenteroides was over expressed and the pgm gene encoding for phosphoglucomutase (E.C. 5.4.2.2) was deleted in E. coli to yield the E. coli JW 0675-1 SP strain. The cells were permeabilized with the detergent Triton X-100 at 0.05 % v/v. The synthesis of UDP-glucose with permeabilized cells was then optimized with regard to pH, cell density during the synthesis and growth phase during cell harvest, metal cofactor, other media components, and temperature. In one configuration sucrose, phosphate, UMP, and ATP were used as substrates. At pH 7.8, 27 mg/ml cell dry weight, cell harvest during the early stationary phase of growth and Mn(2+) as cofactor a yield of 37 % with respect to UMP was achieved at 33 °C. In a second step, ATP was regenerated by feeding glucose and using only catalytic amounts of ATP and NAD(+). A UDP-glucose yield of 60 % with respect to UMP was obtained using this setup. With the same setup but without addition of external ATP, the yield was 54%.

Directed multistep biocatalysis using tailored permeabilized cells.

: Recent developments in the field of biocatalysis using permeabilized cells are reviewed here, with a special emphasis on the newly emerging area of multistep biocatalysis using permeabilized cells. New methods of metabolic engineering using in silico network design and new methods of genetic engineering provide the opportunity to design more complex biocatalysts for the synthesis of complex biomolecules. Methods for the permeabilization of cells are thoroughly reviewed. We provide an extended review of useful available databases and bioinformatics tools, particularly for setting up genome-scale reconstructed networks. Examples described include phosphorylated carbohydrates, sugar nucleotides, and polyketides.