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Applied and Environmental Microbiology, December 2005, p. 8587-8596, Vol. 71, No. 12
0099-2240/05/$08.00+0 doi:10.1128/AEM.71.12.8587-8596.2005
Copyright © 2005, American Society for Microbiology. All Rights Reserved.
Biochemical Engineering, Saarland University, Saarland, Germany,1 Research Fine Chemicals and Biotechnology, BASF AG, Ludwigshafen, Germany2
Received 18 July 2005/ Accepted 13 September 2005
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In order to rationally create such cell factories, comparative sequencing of the C. glutamicum wild-type and lysine-producing strains has recently been introduced as a powerful strategy (22). By this approach, mutations in key reactions such as pathways involved in product synthesis or supply of precursor metabolites can be identified and subsequently introduced into the wild type (21, 22). This approach can be efficiently complemented by comparative metabolic profiling of the organism, which generates a detailed understanding on the quantitative physiology of the organism and, based on the knowledge obtained, also identifies promising genetic targets.
In this regard, metabolic flux analysis provides detailed insight into the central metabolism of lysine producing C. glutamicum (11, 16, 33, 35). The biosynthesis of lysine has a high requirement for NADPH, which has to be provided by the reactions of the central metabolism. The major pathway for NADPH formation in C. glutamicum is the pentose phosphate pathway (PPP) with the two NADPH-generating enzymes glucose 6-phosphate dehydrogenase and 6-phosphogluconate dehydrogenase.
The importance of the PPP for lysine production becomes obvious from comparative flux studies of different C. glutamicum mutants, where improvement of the lysine yield is accompanied by an increase of the PPP flux (33). Further evidence for the crucial role of the PPP is provided by the observation that the relatively low lysine yield for fructose-grown cells of C. glutamicum is accompanied by a drastically reduced PPP flux on this carbon source (11). The increase of the flux through the PPP is therefore of high relevance in order to improve lysine production by C. glutamicum (15).
In this regard deregulated expression of fructose 1,6-bisphosphatase (FBPase) was recently suggested as a promising target (11, 35). This enzyme is part of the gluconeogenetic pathway and essential for C. glutamicum to grow on noncarbohydrates such as acetate, citrate, and glutamate (23). During growth on sugars, however, fructose 1,6-bisphosphatase is not required and is typically inhibited or repressed by different regulation mechanisms (2, 5, 20). C. glutamicum grown on glucose or on fructose completely lacks fructose 1,6-bisphosphatase activity (4). During lysine production of C. glutamicum on fructose the absence of this enzyme is mainly responsible for the low flux through the PPP and probably also involved in the enhanced by-product formation (11). The present work describes deregulated expression of fructose 1,6-bisphosphatase in C. glutamicum and investigates its impact on growth and lysine production on different carbon sources.
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TABLE 1. Strains of C. glutamicum constructed in the present studya
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The sacB positive selection system (9) was used to select for the second recombination event. Since expression of integrated plasmid-borne sacB in the presence of sucrose is lethal to C. glutamicum, cells in which sacB is deleted as a consequence of the second homologous recombination can only grow on the selective plate. In this recombination, allelic replacement arises when the wild-type gene is deleted from the genome, together with sacB. Fifteen randomly chosen sucrose-resistant colonies were thus examined for the presence of the mutation by amplification of the corresponding gene and additional DNA sequencing of the PCR product using the site-specific primers given in Table 2.
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TABLE 2. Site-specific primer sequences used to verify allelic replacements in C. glutamicum by PCR and subsequent DNA sequencing
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Cultivation.
Cells from frozen glycerol stock cultures were grown on agar plates for 48 h at 30°C. Single colonies from the plate were used to inoculate the first preculture with 50 ml medium in a 500-ml baffled shake flask, which was incubated for 8 h. Cells were harvested by centrifugation (8,800 x g, 2 min, 30°C), washed twice with sterile 0.9% NaCl, and used as inoculum for the second preculture, which was grown in 250-ml baffled shake flasks with 25 ml minimal medium for 8 h. Main cultivations were performed in triplicate using 500-ml baffled shake flasks with 50 ml medium. Preparation of the inoculum for the main cultures was performed as described above. Tracer studies with [1-13C] glucose were carried out in parallel in 50-ml flasks with 5 ml medium. All shake flask cultivations were carried out at 30°C and 230 rpm on a rotary shaker (Multitron; Infors AG, Bottmingen, Switzerland).
Chemicals.
Yeast extract and tryptone were obtained from Difco Laboratories. Phosphoglucose isomerase was purchased from Roche Diagnostics (Mannheim, Germany); glucose 6-phosphate dehydrogenase was obtained from Fluka (Buchs, Switzerland). As the tracer substrate, 99% [1-13C]glucose was purchased from Campro Scientific (Veenendaal, The Netherlands). All other chemicals were from Sigma, Merck (Darmstadt, Germany), or Fluka (Buchs, Switzerland) and were of analytical grade.
Substrate and product analysis.
Quantification of glucose, fructose, and organic acids in 1:10-diluted cultivation supernatant was carried out by high-pressure liquid chromatography (Kontron Instruments, Neufahrn, Germany) involving separation on an Aminex HPX-87H column (300 by 7.8; Bio-Rad, Hercules, Calif.) at 55°C, with 7 mM H2SO4 as the mobile phase and a flow rate of 1 ml min1, and subsequent detection via determination of refraction indexes (sugars) or UV absorption at 210 nm (organic acids). For quantification of sucrose, the column temperature was reduced to 15°C and the eluent concentration was increased to 10 mM H2SO4. Glycerol and dihydroxyacetone were quantified enzymatically (Boehringer-Mannheim, Darmstadt, Germany). Quantification of amino acids followed the method of Krömer et al. (12). Cell concentration was determined by a photometer at 660 nm or by gravimetric analysis as described previously (11).
Mass-spectrometric 13C labeling analysis.
Mass isotopomer fractions of amino acids from the cell protein were determined by gas chromatography-mass spectroscopy (GC-MS) (11, 35). For this purpose, cells (about 1 mg dry cell mass) were harvested from the culture and washed twice with deionized water. The pellet was then incubated with 50 µl 6 M HCl for 24 h at 105°C, subsequently neutralized with 6 M NaOH, and separated from insoluble matter by centrifugation (5 min; Ultrafree-MC filter units, 0.22-µm-pore-size Durapore membrane; Millipore). The remaining clear solution was lyophilized. Analysis of the amino acids was performed after derivatization into the t-butyl-dimethylsilyl derivative (13, 31). All samples were first measured in scan mode to check for potential isobaric interference between analytes and other sample components.
The labeling patterns of the amino acids were then determined in triplicate via selective ion monitoring of selected ion clusters, representing [M-57] fragments with the complete carbon skeletons of the amino acids. The labeling pattern of trehalose from the culture supernatant was determined in selective ion monitoring mode from its trimethylsilyl derivative via the ion cluster at m/z 361 to 367 corresponding to a fragment ion that contains an entire monomer unit of trehalose and thus a carbon skeleton equal to that of glucose 6-phosphate as described previously (11, 35). The trehalose measurement was also carried out in triplicate. The mean experimental error for the mass isotopomer fractions was about 0.15%.
Metabolic modeling and parameter estimation.
All metabolic simulations were carried out on a personal computer using Matlab 7.0 (Mathworks Inc.). Details of the applied computational tools are given elsewhere (32, 33, 35). The metabolic network for growth of and lysine production by C. glutamicum grown on glucose comprised all central metabolic pathways, i.e., glycolysis, PPP, tricarboxylic acid cycle, and anaplerotic carboxylation. Additionally, the pathways for the biosynthesis of lysine and different by-products thereof and for anabolic pathways from intermediary precursors to biomass were implemented. For glycine synthesis, two possible routes were considered, i.e., via serine and via threonine aldolase (24). Based on previous results, the glyoxylate pathway was assumed to be inactive (33).
Calculation of the anabolic demand for the different precursors was based on data on the biomass composition of C. glutamicum which considered the specific anabolic demand for cell wall synthesis based on the diaminopimelate content of the cell (30). Labeling data of proteinogenic amino acids and of trehalose and the mean values of the stoichiometric data from three parallel cultivations were combined for calculation of metabolic flux. The set of fluxes that gave minimum deviation between experimental (Mi,exp) and simulated (Mi,calc) mass isotopomer fractions was taken as the best estimate for the intracellular flux distribution. The network was overdetermined so that a least-squares approach was possible. A weighted sum of least squares was used as the error criterion (33). Statistical analysis of the obtained fluxes was carried out by a Monte Carlo approach (33). From the data obtained, 90% confidence limits for the single parameters were calculated.
Cell disruption.
Cells were harvested by centrifugation (5 min, 9,800 x g, 4°C), including a washing step in disruption buffer (100 mM Tris/HCl, pH 7.8, 4°C), subsequent resuspension in disruption buffer to a concentration of 0.25 g cell dry weight ml1, and then disruption on ice using ultrasound (5 15-s pulses, 20 µm) (MSE Soniprep 150; Sanyo Europe, Munich, Germany). Cell debris was removed by centrifugation (twice for 30 min, 9,800 x g, 4°C). The remaining cell extract was used for determination of protein content and enzyme activity. The protein content was quantified using the method of Bradford (3) and a reagent solution from Sigma.
Analysis of fructose 1,6-bisphosphatase activity.
Determination of the in vitro activity of fructose 1,6-bisphosphatase in cell extracts of C. glutamicum was based on the protocol by Sugimoto and Shiio (27) with slight modifications. First, 50 µl of substrate solution (100 mM fructose 1,6-bisphosphate, 100 mM Tris/HCl, pH 7.8, 30°C) was pipetted into a 1.5-ml polystyrene cuvette. The reaction was started by adding 950 µl of reaction mix, which contained 900 µl reaction buffer (100 mM Tris/HCl, 10 mM MgCl2, 0.5 mM NADP, 2 U of phosphoglucose isomerase, 1 U of glucose 6-phosphate dehydrogenase, pH 7.8, 30°C) and 50 µl cell extract. The final protein concentration in the assay was in the range of 0.3 to 0.4 mg ml1. The activity of fructose 1,6-bisphosphatase was determined by monitoring the formation of NADPH2 via measurement of absorbance at 340 nm. Negative controls were carried out without addition of fructose 1,6-bisphosphate or cell extract, respectively. All measurements were performed in triplicate.
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FIG. 1. In vitro activity of fructose 1,6-bisphosphatase in different strains of Corynebacterium glutamicum. The data are given for Corynebacterium glutamicum ATCC 13032 lysCfbr and two mutants, Corynebacterium glutamicum ATCC 13032 lysCfbr PSODfbp and Corynebacterium glutamicum ATCC 13032 lysCfbr PEFTUfbp. The strains were grown on minimal medium containing glucose, fructose, or sucrose as the sole carbon source. All measurements were carried out in triplicate; corresponding deviations are given.
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TABLE 3. Growth and production characteristics of lysine-producing C. glutamicum ATCC 13032 lysCfbr, C. glutamicum ATCC 13032 lysCfbr PEFTUfbp, and C. glutamicum ATCC 13032 lysCfbr PSODfbp on glucose, fructose, and sucrose as the carbon sourcea
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Interesting effects were observed for fructose-grown cells. C. glutamicum lysCfbr PEFTUfbp grew faster (µ = 0.35 h1) than the parent strain (µ = 0.27 h1) and had a higher biomass yield (Table 3). A beneficial effect was also observed concerning the specific fructose uptake rate, which was higher for C. glutamicum lysCfbr PEFTUfbp (qS = 4.7 mmol g1 h1) than for C. glutamicum lysCfbr (qS = 4.4 mmol g1 h1). The metabolic effects were less pronounced in the other FBPase mutant. Obviously, the reason for the similar phenotypes of C. glutamicum lysCfbr and C. glutamicum lysCfbr PSODfbp is the relatively weak amplification of fructose 1,6-bisphosphatase using the sod promoter (Fig. 1).
Influence of fructose 1,6-bisphosphatase overexpression on by-product formation.
Glycerol and dihydroxyacetone were the most prominent by-products for fructose-grown cells of C. glutamicum lysCfbr (Table 4). At the end of the cultivation, these two compounds together represented a fraction of 26 C-mmol liter1 and thus about 80% of the carbon, which was obtained in the form of the desired product lysine with a final concentration of about 33 C-mmol liter1. The comparative analysis for the other mutants revealed that overexpression of FBPase also had an effect on the formation of these by-products (Table 4). In the PSODfbp mutant, the sum of the levels of glycerol and dihydroxyacetone was decreased by about 60%, whereas an even stronger decrease of more than 80% was observed for the PEFTUfbp mutant. This shows that overexpression of FBPase was also beneficial in terms of the decrease in by-product formation.
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TABLE 4. Formation of glycerol and dihydroxyacetone during cultivation of lysine-producing C. glutamicum ATCC 13032 lysCfbr, C. glutamicum ATCC 13032 lysCfbr PEFTUfbp, and C. glutamicum ATCC 13032 lysCfbr PSODfbp on fructosea
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Growth of and lysine production by the tracer cultivations, at 80 mg biomass (mmol glucose)1 and 78 mmol lysine (mol glucose)1 for C. glutamicum lysCfbr and 58 mg biomass (mmol glucose)1 and 116 mmol lysine (mol glucose)1 for C. glutamicum lysCfbr PEFTUfbp, agreed very well with the values for three parallel incubations with naturally labeled glucose. This allowed using mean values and standard deviations for biomass and product yield for the three replicates (Table 5) and the corresponding precursor demand for anabolism (Table 6) for the error-weighted flux calculation. In the mid-exponential phase, the tracer cultivations were harvested; this was followed by GC-MS analysis of 13C labeling patterns, i.e., mass isotopomer distributions, of amino acids from the cell protein and of trehalose from the cultivation supernatant (Table 7). Together with the stoichiometric data, this provided an extended data set for the flux calculation.
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TABLE 5. Biomass and metabolites of C. glutamicum ATCC 13032 lysCfbr and C. glutamicum ATCC 13032 lysCfbr PEFTUfbp from 99% [1-13C]glucosea
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TABLE 6. Anabolic demand of C. glutamicum ATCC 13032 lysCfbr and C. glutamicum ATCC 13032 lysCfbr PEFTUfbp on glucosea
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TABLE 7. Relative mass isotopomer fractions of amino acids from cell protein and of secreted trehalose of lysine-producing C. glutamicum ATCC 13032 lysCfbr and C. glutamicum ATCC 13032 lysCfbr PEFTUfbp cultivated on 99% [1-13C]glucosea
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Based on all experimental data, the intracellular carbon fluxes were calculated using a 13C flux model that involves metabolite and isotopomer balancing (35). This model fully considers, e.g., label transition by bidirectional reactions, label scrambling in symmetric molecules, 13C incorporation from CO2, or naturally occurring isotopes in the tracer substrate. Twentyfold repetition of the parameter estimation with statistically varied starting values for the free-flux parameters led to identical solutions for each of the strains, which ensured identification of the global minimum. Concerning the obtained fit, excellent agreement between experimentally determined and calculated mass isotopomer ratios was achieved (Table 7). All conclusions given below for the relative fluxes also hold for absolute fluxes, since the specific glucose uptake rates for the two strains were nearly identical, as shown above.
The obtained metabolic flux distributions of C. glutamicum lysCfbr and C. glutamicum lysCfbr PEFTUfbp are displayed in Fig. 2 and 3. Obviously, overexpression of fructose 1,6-bisphosphatase affected different pathways in the central metabolism of C. glutamicum. Most importantly, carbon flux was redirected from glycolysis toward the PPP. The PPP flux was 10% higher in the FBPase mutant than in the parent strain, so the supply of NADPH by the PPP, accordingly, was about 20% higher in the mutant. The net flux through glucose 6-phosphate isomerase was lower in C. glutamicum lysCfbr PEFTUfbp. Interestingly, this enzyme exhibited a slightly higher reversibility when the fructose 1,6-bisphosphatase was overexpressed. It seems likely that the overexpressed fructose 1,6-bisphosphatase increased the intracellular pool of fructose 6-phosphate and thus favored the reverse reaction of glucose 6-phosphate isomerase.
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FIG. 2. In vivo carbon flux distribution in the central metabolism of glucose-grown Corynebacterium glutamicum ATCC 13032 lysCfbr during lysine production. The strain contains a feedback-resistant aspartokinase. Fluxes were estimated from the best fit to the experimental results using a comprehensive approach of combined metabolite balancing and isotopomer modeling for a 13C tracer experiment during growth on [1-13C]glucose and measurement of labeling of amino acids from the cell protein and of trehalose from the culture supernatant by GC-MS. Net fluxes are given in square symbols; for reversible reactions the direction of the net flux is indicated by an arrow beside the corresponding black box. Numbers in brackets below the fluxes of transaldolase, transketolase, and glucose 6-phosphate isomerase indicate flux reversibility. Fluxes toward anabolism are displayed in gray boxes. All fluxes are expressed as a molar percentage of the mean specific glucose uptake rate (4.9 mmol g1 h1), which was set to 100%.
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FIG. 3. In vivo carbon flux distribution in the central metabolism of glucose-grown Corynebacterium glutamicum ATCC 13032 lysCfbr PEFTUfbp during lysine production. The strain contains a feedback-resistant aspartokinase and exhibits amplified expression of fructose 1,6-bisphosphatase. The fluxes were estimated from the best fit to the experimental results using a comprehensive approach of combined metabolite balancing and isotopomer modeling for a 13C tracer experiment during growth on [1-13C]glucose and measurement of labeling of amino acids from the cell protein and of trehalose from the culture supernatant by GC-MS. Net fluxes are given in square symbols; for reversible reactions the direction of the net flux is indicated by an arrow beside the corresponding black box. Numbers in brackets below the fluxes of transaldolase, transketolase, and glucose 6-phosphate isomerase indicate flux reversibility. Fluxes toward anabolism are displayed in gray boxes. All fluxes are expressed as a molar percentage of the mean specific glucose uptake rate (4.8 mmol g1 h1), which was set to 100%.
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Carbon channeled through the central catabolic pathways is withdrawn to a lesser extent for anabolic purposes, so that a relatively high fraction remains to be oxidized in the tricarboxylic acid cycle. Overall, the NADPH flux supplied in C. glutamicum lysCfbr PEFTUfbp by the PPP and by isocitrate dehydrogenase was 180%, and thus markedly higher than the corresponding flux of 146% for C. glutamicum lysCfbr. The relatively large amount of NADPH formed then functions as a driving force for the deregulated lysine pathway and probably is the reason for the observed significant improvement in lysine production. The flux calculation further revealed that glycine used in anabolism and also secreted into the medium is mainly derived from serine. In C. glutamicum lysCfbr PEFTUfbp, 90.8% of the glycine stems from serine whereas only 9.2% is supplied via threonine. In C. glutamicum lysCfbr, the relative supplies of glycine from serine and from threonine were 93.4% and 6.6%, respectively, and thus similar. Note that for simplicity reasons the glycine fluxes are not explicitly shown in Fig. 2 and 3 but rather are lumped into the anabolic demand for oxaloacetate and 3-phosphoglycerate.
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TABLE 8. Statistical evaluation of metabolic fluxes of lysine-producing C. glutamicum ATCC 13032 lysCfbr and C. glutamicum ATCC 13032 lysCfbr PEFTUfbp on glucosea
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So far, the genes involved in the formation of glycerol and dihydroxyacetone in C. glutamicum have not been identified (11). The levels of glycerol and dihydroxyacetone were directly related to the in vitro activity of fructose 1,6-bisphosphatase. Obviously, the formation of these products decreased with increasing flux from fructose 1,6-bisphosphate toward fructose 6-phosphate. Thus, we conclude that, as previously speculated, their synthesis is an overflow phenomenon in C. glutamicum caused by limited capacity of an enzyme downstream of the fructose 1,6-bisphosphate pool, such as glyceraldehyde 3-phosphate dehydrogenase (4).
Fructose 1,6-bisphosphatase is known to be effectively regulated at the metabolic level by, e.g., phosphoenolpyruvate or AMP (23). C. glutamicum lysCfbr revealed a low basal in vitro fructose 1,6-bisphosphatase activity during growth. Comparable results were previously obtained for the wild-type strain C. glutamicum ATCC 13032 grown on glucose, gluconate, ribose, citrate, pyruvate, or lactate (23). Due to a strong metabolic regulation, this enzyme is supposed to exhibit negligible in vivo activity during growth on sugars (10, 32). The metabolic regulation of FBPase was also observed in mutants with an overexpressed fbp gene, since the expression level, but not the properties, of the enzyme were changed. It therefore appears likely that the actual in vivo activity of FBPase in the mutants is lower than the in vitro levels measured.
Considering a protein content of about 55% (27), the in vitro activity of FBPase of 125 mU mg1 observed for glucose-grown C. glutamicum lysCfbr PEFTUfbp can be expressed as a potential flux of 4.3 mmol g1 h1. This is almost as high as the total influx of substrate into the cell. The actual in vivo flux of FBPase is probably below that level, but surely it is significant. Otherwise, all the metabolic changes such as improved lysine production, reduced by-product formation, or alteration of intracellular carbon flux would not have been observed. The data clearly show that FBPase was active in vivo in C. glutamicum lysCfbr PEFTUfbp and in C. glutamicum lysCfbr PSODfbp. The exact in vivo flux through fructose 1,6-bisphosphatase in the mutants could not be assessed in the present work, since this additional reaction does not influence stoichiometry or labeling patterns of the metabolites analyzed.
In previous studies with S. cerevisiae, overexpression of fructose 1,6-bisphosphatase did not affect the growth rate or biomass yield, probably due to strong inhibition of the enzyme by fructose 2,6-bisphosphate (19). Thereby, the enzyme was inhibited by about 95% already at a fructose 2,6-bisphosphate concentration of 8 µM. In comparison, the fructose 1,6-bisphosphatase in C. glutamicum is only slightly inhibited by fructose 2,6-bisphosphate (23). This might be a major reason why overexpressed fructose 1,6-bisphosphatase could evolve significant activity in vivo.
Due to the presence of an active fructose 1,6-bisphosphatase, metabolic cycling between the pools of fructose 6-phosphate and fructose 1,6-bisphosphate probably occurred in overexpressing strains. This metabolic cycle, catalyzing the breakdown of ATP into ADP and Pi, did not, however, show any negative effects in C. glutamicum lysCfbr PSODfbp or C. glutamicum lysCfbr PEFTUfbp. In fact, during growth on fructose and sucrose, the presence of an active fructose 1,6-bisphosphatase was even beneficial, as evidenced by an increased growth rate, substrate uptake rate, or biomass yield. Thus, we conclude that the wasting of energy that is probably linked to the overexpression of fructose 1,6-bisphosphatase does not play a major role in the strains examined. In this regard, it was found for Saccharomyces cerevisiae that high-level overexpression of an unregulated fructose 1,6-bisphosphatase from Escherichia coli had only minor effects but provided a slight competitive advantage during growth in mixed cultures (20).
Overexpression of fructose 1,6-bisphosphatase allows a significant improvement of lysine production in C. glutamicum by the redirection of carbon from glycolysis toward the PPP and an increased NADPH supply. As shown herein, lysine production is increased during growth on glucose as well as on sucrose, so this modification seems useful for both starch- and molasses-based production processes. The use of different promoters provides a means of fine-tuning the fructose 1,6-bisphosphatase level, so that for each strain the enzyme activity could be adjusted to a level that would result in optimal performance. In this regard, the future search for natural C. glutamicum promoters with different expression levels could provide a useful tool for targeted strain engineering.
Since the metabolic regulation of fructose 1,6-bisphosphatase seems similar for different organisms, its overexpression could lead to similar effects in other bacteria, such as E. coli or Bacillus subtilis. In this regard, the redirection of flux toward the PPP resulting from overexpression of fructose 1,6-bisphosphatase should also be of interest for the production of other NADPH-demanding compounds, such as methionine (14), isoleucine (18), and fatty acids (6), as well as for products directly stemming from the PPP, such as vitamin B2 (25), nucleotides (1, 10), and aromatic amino acids (7, 8). Due to negative metabolic regulation of fructose 1,6-bisphosphatase, only a certain fraction of the enzyme is probably active in vivo, so that high expression levels are required to achieve significant metabolic effects. An interesting alternative might, therefore, be to release FBPase from metabolic regulation, e.g., by mutation of the enzyme.
In addition to overexpression of fructose 1,6-bisphosphatase, other attempts have been made to redirect carbon flux toward the PPP in C. glutamicum. In this regard, the deletion of the gene for phosphoglucose isomerase, which forces the cell to completely metabolize the substrate glucose via the PPP, has been suggested (15). This deletion indeed leads to improved production of lysine in C. glutamicum but is, however, linked to severe growth defects. Moreover, the lack of phosphoglucose isomerase blocks the recycling of carbon from glycolysis back toward the PPP. Due to this, fructose, as the sole carbon source or as part of sucrose, cannot reenter the PPP, such that the NADPH supply in molasses-based processes is expected to be rather low. Additionally, C. glutamicum lacking phosphoglucose isomerase will exhibit a maximum PPP flux of 100%, so that the maximum lysine yield possible for such a strain will be significantly below the theoretical optimum of 0.75 mol mol1, which requires a 150% flux through the PPP (26).
Heterologous expression of fructokinase in C. glutamicum grown on fructose or on sucrose is an interesting alternative method to potentially increase the fructose flux toward the PPP and to increase amino acid production (17). C. glutamicum ATCC 13032 expressing fructokinase, however, exhibits a growth deficiency on sucrose. The metabolic effects involved are not yet clear. As shown here, fructose 1,6-bisphosphate overexpression leads to increased PPP flux in C. glutamicum. It seems promising to further enhance the PPP flux, e.g., by introducing additional modifications such as modified variants of 6-phosphogluconate dehydrogenase (21).
Summarizing the present work shows that overexpression of FBPase is useful for industrial lysine production by C. glutamicum and, generally, also for the production of other NADPH-demanding compounds, as well as for products directly stemming from the PPP. It provides an excellent example of how quantitative physiological studies and genetic engineering can be combined in an effective manner for rational engineering of production strains.
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