Tanja Hanke, Katharina Nöh, Stephan Noack, Tino Polen, Stephanie Bringer, Hermann Sahm, Wolfgang Wiechert and Michael Bott Appl. Environ. Microbiol. 2013, 79(7):2336. DOI: 10.1128/AEM.03414-12. Published Ahead of Print 1 February 2013. Updated information and services can be found at: http://aem.asm.org/content/79/7/2336 These include: SUPPLEMENTAL MATERIAL REFERENCES CONTENT ALERTS Supplemental material This article cites 41 articles, 9 of which can be accessed free at: http://aem.asm.org/content/79/7/2336#ref-list-1 Receive: RSS Feeds, eTOCs, free email alerts (when new articles cite this article), more» Information about commercial reprint orders: http://journals.asm.org/site/misc/reprints.xhtml To subscribe to to another ASM Journal go to: http://journals.asm.org/site/subscriptions/ Downloaded from http://aem.asm.org/ on March 24, 2013 by FORSCHUNGSZENTRUM JULICH GMBH Combined Fluxomics and Transcriptomics Analysis of Glucose Catabolism via a Partially Cyclic Pentose Phosphate Pathway in Gluconobacter oxydans 621H Combined Fluxomics and Transcriptomics Analysis of Glucose Catabolism via a Partially Cyclic Pentose Phosphate Pathway in Gluconobacter oxydans 621H Institut für Bio- und Geowissenschaften, IBG-1: Biotechnologie, Forschungszentrum Jülich, Jülich, Germany In this study, the distribution and regulation of periplasmic and cytoplasmic carbon fluxes in Gluconobacter oxydans 621H with glucose were studied by 13C-based metabolic flux analysis (13C-MFA) in combination with transcriptomics and enzyme assays. For 13C-MFA, cells were cultivated with specifically 13C-labeled glucose, and intracellular metabolites were analyzed for their labeling pattern by liquid chromatography-mass spectrometry (LC-MS). In growth phase I, 90% of the glucose was oxidized periplasmically to gluconate and partially further oxidized to 2-ketogluconate. Of the glucose taken up by the cells, 9% was phosphorylated to glucose 6-phosphate, whereas 91% was oxidized by cytoplasmic glucose dehydrogenase to gluconate. Additional gluconate was taken up into the cells by transport. Of the cytoplasmic gluconate, 70% was oxidized to 5-ketogluconate and 30% was phosphorylated to 6-phosphogluconate. In growth phase II, 87% of gluconate was oxidized to 2-ketogluconate in the periplasm and 13% was taken up by the cells and almost completely converted to 6-phosphogluconate. Since G. oxydans lacks phosphofructokinase, glucose 6-phosphate can be metabolized only via the oxidative pentose phosphate pathway (PPP) or the Entner-Doudoroff pathway (EDP). 13C-MFA showed that 6-phosphogluconate is catabolized primarily via the oxidative PPP in both phases I and II (62% and 93%) and demonstrated a cyclic carbon flux through the oxidative PPP. The transcriptome comparison revealed an increased expression of PPP genes in growth phase II, which was supported by enzyme activity measurements and correlated with the increased PPP flux in phase II. Moreover, genes possibly related to a general stress response displayed increased expression in growth phase II. T he strictly aerobic acetic acid bacterium Gluconobacter oxydans is industrially applied for the production of vitamin C, L-sorbose, 2-ketogulonic acid, dihydroxyacetone, and 6-amino-L-sorbose. However, G. oxydans grows only to low cell densities, which has been explained by an inefficient respiratory chain (1). Membrane-bound dehydrogenases enable G. oxydans to oxidize sugars and sugar alcohols in two or more steps in the periplasm (1, 2) (Fig. 1). Intermediates and products of these reactions accumulate in the medium. In parallel, part of the substrates or its oxidation products is taken up into the cytoplasm. In the case of glucose, uptake occurs by a yet-unknown transport system, and the oxidation product gluconate is imported by gluconate permease (GOX2188) (3). As G. oxydans lacks phosphofructokinase, the Embden-Meyerhof-Parnas pathway (EMP) is interrupted. Intracellular glucose is either oxidized to gluconate and 5-ketogluconate by NAD(P)linked dehydrogenases or glucose and gluconate are phosphorylated by glucose and gluconate kinases, respectively, and further catabolized via the pentose phosphate pathway (PPP) or the Entner-Doudoroff pathway (EDP) (4–6). In the absence of phosphofructokinase, the PPP is expected to operate partly cyclic, as fructose 6-phosphate formed by transaldolase or transketolase is isomerized to glucose 6-phosphate, which enters the oxidative PPP again (7, 8). Formally, this conversion can be described as follows: glucose ⫹ ADP ⫹ Pi ⫹ NAD⫹ ⫹ 6 NADP⫹ ¡ ATP ⫹ NADH ⫹ 6 NADPH ⫹ 3 CO2 ⫹ pyruvate⫺ ⫹ 8 H⫹. Due to absence of genes coding for succinate dehydrogenase, the tricarboxylic acid (TCA) cycle is also incomplete and fulfills exclusively biosynthetic functions (3, 9, 10). Growth of G. oxydans on glucose proceeds in two different metabolic phases. In phase I, glucose is rapidly oxidized to gluco- 2336 aem.asm.org nate by the membrane-bound glucose dehydrogenase (GdhM). In growth phase II, gluconate is further oxidized to ketogluconates. Depending on the pH of the culture medium, 5-ketogluconate and 2-ketogluconate are formed in the periplasm by the membrane-bound major polyol dehydrogenase and gluconate 2-dehydrogenase, respectively (11). At pH 6, the pH value of the culture medium applied in the present work, formation of 2-ketogluconate is predominant in the periplasm (1). In the present study, 13C-based metabolic flux analysis (13CMFA) was applied in order to elucidate the relative contributions of the PPP and the EDP to cytoplasmic glucose catabolism and to test the proposed cyclic flux of carbon through the oxidative PPP. The most common variant of 13C-MFA uses gas chromatographymass spectrometry (GC-MS) to derive labeling information available in protein-bound amino acids. In this case, the utilization of a defined minimal medium is imperative to avoid erroneous interpretation of the mass isotopomer fractions (12). As a suitable minimal medium is not yet available for G. oxydans and in order to minimize influences of the medium, highly sensitive liquid chromatography-mass spectrometry (LC-MS) was applied in this Received 6 November 2012 Accepted 14 January 2013 Published ahead of print 1 February 2013 Address correspondence to Michael Bott, [email protected], or Katharina Nöh, [email protected]. Supplemental material for this article may be found at http://dx.doi.org/10.1128 /AEM.03414-12. Copyright © 2013, American Society for Microbiology. All Rights Reserved. doi:10.1128/AEM.03414-12 Applied and Environmental Microbiology p. 2336 –2348 April 2013 Volume 79 Number 7 Downloaded from http://aem.asm.org/ on March 24, 2013 by FORSCHUNGSZENTRUM JULICH GMBH Tanja Hanke, Katharina Nöh, Stephan Noack, Tino Polen, Stephanie Bringer, Hermann Sahm, Wolfgang Wiechert, Michael Bott Fluxomics and Transcriptomics of G. oxydans 621H yeast extract in a bioreactor at a constant pH of 6 and a constant dissolved oxygen concentration of 15%. In panel A, the concentration profiles in g liter⫺1 of glucose (, GLC, black solid line, initial concentration of 80 g liter⫺1), gluconate (}, GLCN, blue dashed line), 2-ketogluconate (Œ, 2KGA, red dotted line), 5-ketogluconate (, 5KGA, magenta dot-dashed line), and biomass dry weight (scaled by a factor of 10, , DW, green solid line) are shown. The two vertical dashed lines indicate the times (I, 8.00 h; II, 14.25 h) at which samples were taken for 13C-based metabolic flux analysis. In panel B, the oxygen consumption rates of the two 13C-labeled cultures (䊐, }) and the nonlabeled culture () are shown. In panel C, the carbon dioxide production rates of the 13 C-labeled culture (䊐) and of the nonlabeled culture (}) are indicated. study for the detection of intracellular isotopomer concentrations of almost all intermediates of central metabolism down to the nanomolar range (13). Utilization of these primary metabolites for 13C-MFA rather than protein-bound amino acids prevents an increased uncertainty in the metabolic network, e.g., due to incomplete metabolic reconstruction, yet unknown carbon-atom transitions, or the need for considering putative carbon source uptake routes. Complementary to 13C-MFA, we used genome-wide DNA microarrays to study the changes of global gene expression between growth phases I and II. Despite the long-time use in biotechnology, the regulation of carbon and energy metabolism in G. oxydans is largely unknown. Based on the genome sequence of strain 621H (DSM2343) (3), we recently applied DNA microarrays to analyze the influence of pH and oxygen limitation on global gene expression and to study mutants defective in the PPP or the EDP (14, 15). MATERIALS AND METHODS Chemicals and enzymes. [1-13C]glucose and [U-13C]glucose were obtained from Deutero GmbH (Kastellaun, Germany). Other chemicals and auxiliary enzymes (glucose-6-phosphate dehydrogenase and 6-phosphogluconate dehydrogenase from yeast) for enzyme activity assays were purchased from Sigma-Aldrich (Taufkirchen, Germany) and Merck (Darmstadt, Germany). Bacterial strains, culture conditions, and bioreactor system. Gluconobacter oxydans DSM 2343 (ATCC 621H) was obtained from the Deutsche Sammlung von Mikroorganismen und Zellkulturen (Braunschweig, Germany). Precultures of the strain were cultivated on complex medium containing 5 g liter⫺1 yeast extract, 2.5 g liter⫺1 MgSO4 · 7 H2O, 1 g liter⫺1 (NH4)2SO4, 1 g liter⫺1 KH2PO4, 0.5 g liter⫺1 glycerol, and 8% (wt/vol) April 2013 Volume 79 Number 7 aem.asm.org 2337 Downloaded from http://aem.asm.org/ on March 24, 2013 by FORSCHUNGSZENTRUM JULICH GMBH FIG 1 Biphasic growth of G. oxydans with 80 g liter⫺1 glucose and 5 g liter⫺1 sorbitol. The initial pH value of the medium was 6.0. G. oxydans possesses a natural resistance toward cefoxitin; as a precaution to prevent bacterial contaminations, cefoxitin was added to the medium at a concentration of 50 g ml⫺1. Precultures were grown in baffled shaking flasks at 30°C and 140 rpm. For DNA microarray analysis and enzyme activity measurements, cells were cultivated in 250 ml of the same medium containing 8% glucose instead of sorbitol in a bioreactor system (DASGIP, Jülich, Germany) composed of four 400-ml vessels, each equipped with electrodes for measuring the dissolved oxygen concentration (DO) and the pH value. The system allows to constantly control these two parameters. The pH was kept at pH 6.0 by automatic titration of 2 M NaOH. The oxygen availability was kept constant at 15% DO by mixing air, O2, and N2. Calibration was performed by gassing with air (100% DO) and N2 (0% DO). The agitation speed was kept constant at 900 rpm. The carbon dioxide concentration in the exhaust air was measured continuously by an infrared spectrometer, and the oxygen concentration was measured with a zirconium dioxide sensor. Control and recording of all data were carried out by the Fedbatch Pro software (DASGIP, Jülich, Germany). For metabolic flux analysis, cells were grown in a 200-ml volume of the same medium containing 8% glucose of the following optimized composition: 4.0% naturally labeled glucose, 7.7% [1-13C]glucose, and 88.3% [U-13C]glucose. A reference culture with 100% naturally labeled glucose was used for comparison. HPLC analysis and glucose determination. Gluconate, 5-ketogluconate (5-KGA), and 2-ketogluconate (2-KGA) were analyzed by highperformance liquid chromatography (HPLC). One milliliter of culture was centrifuged for 5 min at 13,000 ⫻ g, and the supernatant was filtered through a 0.2-m-pore-size filter (Millipore, MA) prior to HPLC analysis. The substances were separated using a Shodex DE 613 column (150 mm long, 6.0 mm internal diameter; Phenomenex, Aschaffenburg, Germany) using 2 mM HClO4 as the eluant at a flow rate of 0.5 ml min⫺1 and detected by a UV spectrophotometer at 210 nm. Glucose coeluted with gluconate, but at this wavelength, glucose does not absorb, and therefore gluconate analysis was not distorted. Glucose concentrations were determined enzymatically with glucose dehydrogenase by application of a kit (DiaSys Diagnostic Systems GmbH, Holzheim, Germany) according to the instructions of the manufacturer. Determination of extracellular rates. A bioreactor model of the batch cultivation process was set up to calculate rates for growth on glucose and gluconate (GLC and GLCN, respectively) and consumption and formation rates of glucose, gluconate, 2- and 5-ketogluconates, as well as carbon dioxide from the glucose enzymatic test results and HPLC data (see Fig. S1.1, Fig. S1.2, Table S1.1, and Table S1.2 in the supplemental material). This process model contains only two compartments, divided by an outer membrane, i.e., the extracellular compartment [ex] and the remainder, periplasm plus cytoplasm ([p] ⫹ [c]) (see Fig. S1.1 in the supplemental material). O2 consumption rates and CO2 production rates of growing cells were measured by the DASGIP bioreactor system. Because 13C-labeled carbon dioxide was not quantitatively detectable by the employed infrared spectroscopy method, carbon dioxide production rates were obtained from the reference culture grown with naturally labeled glucose. Rate estimations were then used to calculate specific extracellular rates, which were, in turn, used for 13C-MFA. Sampling and sample processing for LC-MS analysis. For LC-MS analysis, 50 ml culture was harvested in the first growth phase (after 8 h; sample point I) and 15 ml culture was harvested in the second growth phase (after 14.25 h; sample point II) and mixed immediately with 150 ml or 45 ml 60% methanol at ⫺80°C in order to stop metabolism. The mixtures were centrifuged for 5 min at 10,000 ⫻ g and ⫺20°C, and each cell pellet was resuspended in 1 ml pure methanol (⫺70°C) and 1 ml TE buffer (pH 7.0). After the suspension was vortexed, 2 ml chloroform (⫺20°C) was added. The suspension was shaken at ⫺20°C for 2 h and then centrifuged for 10 min at 10,000 ⫻ g at ⫺20°C. The upper methanol phase was filtrated through a 0.2-m-pore-size filter (Millipore, MA) and frozen at ⫺80°C for subsequent LC-MS analysis. Hanke et al. 2338 aem.asm.org enzyme assay according to reference 22. Glucose 6-phosphate dehydrogenase and 6-phosphogluconate dehydrogenase activities were measured at 30°C by a standard method (23). Again, different dilutions of cell extract were applied. Since 6-phosphogluconate dehydrogenase is an NAD⫹-preferring enzyme in G. oxydans, 0.1 mM NAD⫹ was used instead of NADP⫹ for activity determination (24, 25). The protein concentration of the cell extracts was determined by the method of Bradford (26) by using bovine serum albumin as the standard. DNA microarray analysis. RNA preparation, cDNA labeling, and DNA microarray analysis were performed as described recently by Hanke et al. (14). The samples for DNA microarray analysis were taken after 8 h and 14.25 h, and three biological replicates were performed. Microarray data accession number. The data discussed in this publication have been deposited in NCBI’s Gene Expression Omnibus and are accessible through GEO Series accession number GSE42223. RESULTS Substrate conversion in the periplasm, oxygen consumption, and carbon dioxide production during growth of G. oxydans 621H with glucose. In Fig. 1A, growth of G. oxydans in a medium containing 80 g liter⫺1 glucose, 0.5 g liter⫺1 glycerol, and 5 g liter⫺1 yeast extract is shown. Two independent cultures containing 13 C-labeled glucose (for details see Materials and Methods) showed growth behavior and substrate oxidation rates identical to those of the reference culture containing naturally labeled glucose (Fig. 1A). Samples for carbon flux analysis were taken after 8.0 h (sample point I) and after 14.25 h (sample point II). After 8 h, the cultures had an optical density at 600 nm (OD600) of ⬃3.6 and used glucose as the major substrate. After 14.25 h, the cultures had an OD600 of ⬃7.6 and used gluconate as the major substrate. With the exception of CO2 production, which could be quantified only for the culture containing naturally labeled glucose, triplicate data sets were available for extracellular rates, whereas 13C labeling data were obtained in duplicate. Because isotopic substitution will affect the distribution of vibrational and rotational energy states of a molecule, each distinct isotopomer of CO2 has its own rotationalvibrational infrared spectrum (27). Therefore, 13C-labeled carbon dioxide was not quantitatively detectable by the employed infrared spectroscopy method, and a reference culture with unlabeled glucose was necessary to obtain correct carbon dioxide production rates, which could be applied for flux analysis. As shown by the measurements’ standard deviations, parallel cultivation under controlled conditions allowed for collection of comprehensive and reproducible data (biological replicates) suitable for modelbased 13C-MFA. The carbon balance of the averaged cultivations amounted to 101% (see Table S4.1 in the supplemental material). Extracellular rates of substrate consumption and product formation were estimated consistently with a batch bioreactor process model (see Fig. S1.2A in the supplemental material). In the first growth phase, a GLC of 0.27 h⫺1 was measured until an OD600 of 6.6 was reached after 10 h, which corresponds to 80% of the maximal OD observed at the end of the cultivation. At the end of growth phase I after 10 h, the extracellular concentrations of glucose, gluconate, and 2-ketogluconate were 49 mM, 264 mM, and 63 mM, respectively. 2-Ketogluconate was formed in the periplasm by the membrane-bound gluconate 2-dehydrogenase (Gad2) (28) and accumulated in the medium. Gluconate 2-dehydrogenase has its optimum pH at 6 (28). Besides 2-ketogluconate, 5-ketogluconate was also detected (30 mM), which presumably was formed intracellularly by gluconate 5-dehydrogenase and then exported into the medium. The alternative Applied and Environmental Microbiology Downloaded from http://aem.asm.org/ on March 24, 2013 by FORSCHUNGSZENTRUM JULICH GMBH LC-MS analysis of intracellular metabolites. Cell extraction samples were analyzed with an Agilent 1100 HPLC system (Agilent Technologies, Waldbronn, Germany) coupled with an API4000 mass spectrometer (Applied Biosystems, Concord, Canada) equipped with a TurboIon spray source. Detailed information on separation methods have been reported previously (13, 17). The LC-MS data were analyzed as described previously (18). Briefly, the mass isotopomer fractions of the intermediates 1,3-bisphosphoglycerate, 2-phosphoglycerate, 2-oxoglutarate, 6-phosphogluconate, aconitate, citrate-isocitrate, dihydroxyacetone phosphate, erythrose 4-phosphate, fructose 1,6-diphosphate, fructose 6-phosphate, fumarate, gluconolactone, glucose 6-phosphate, glyceraldehyde 3-phosphate, malate, phosphoenolpyruvate, pyruvate, ribose 5-phosphate, ribulose 5-phosphate/xylulose 5-phosphate, sedoheptulose 7-phosphate, succinate, and the free amino acids alanine, arginine, aspartate, glutamate, histidine, leucine, lysine, methionine, phenylalanine, proline, tyrosine, and valine were determined from the respective mass spectra (see Table S2.1, Table S2.2, and Fig. S2 in the supplemental material). 13 C metabolic flux analysis. For 13C labeling experiments, cells were cultivated with the 13C-labeled glucose mixture described above. Metabolic stationarity in the cells was approximately maintained. Samples taken after 8 h and 14.25 h were analyzed by LC-MS to determine the mass isotopomer patterns of the intracellular intermediates listed above. Accompanied by the estimations of consumption and formation rates, 13CMFA enabled a detailed quantification of intracellular in vivo carbon fluxes from intracellular metabolites’ labeling patterns. 13C-MFA is a model-based approach, and for more details the reader is referred to recent review papers (19, 20). Here, we differentiated between three compartments: the medium external to the cells (termed extracellular, [ex]), the cytoplasm ([c]), and periplasm ([p]). Based on the genome information for G. oxydans 621H, a metabolic network model of central metabolism was formulated (see Fig. S3 and Table S3.1 in the supplemental material). This model included reactions of the EMP, the PPP, the EDP, and the TCA cycle, as well as all membranebound and cytoplasmic dehydrogenase reactions involved in glucose catabolism that are characteristic for G. oxydans (Fig. 1). All together, the model covers 57 reactions, of which 18 are reversible. Additional uptake reactions for naturally labeled fumarate (FUM), acetyl coenzyme A (acetyl-CoA), and glutamate (GLUT) were added to the metabolic network, allowing the utilization of components of the yeast extract in central metabolism. Aiming at a more detailed quantification of the metabolic conversion rates, a focused network without the reactions of the TCA cycle was deduced. The focused network contained 40 reactions, of which 15 are reversible (see Fig. 3 and Table S3.1 in the supplemental material). In total, up to 34 model parameters (degrees of freedom) had to be estimated using 80 labeling measurements (mass isotopomers of intracellular metabolites detected by LC-MS; see Fig. S2 in the supplemental material) and five carbon exchange flux values (glucose uptake, gluconate uptake, ketogluconate excretion, and carbon dioxide production rate) estimated from the process model (see Table S1.1 in the supplemental material). The metabolite pools of phosphoglycerates (1,3-bisphosphoglycerate [1,3PG], 2-phosphoglycerate [2PG], and 3-phosphoglycerate [3PG]) were not separable by LC-MS and, thus, lumped into a single phosphoglycerate pool (PGP). The software toolbox 13CFLUX2 (http://www.13cflux.net) (21) was used for all modeling and evaluation steps (20). Preparation of cell extracts and enzyme assays. For in vitro determinations of enzyme activities, culture samples (50 ml) were taken after 8 h and 14.25 h, i.e., at the same time points used to take samples for LC-MS analysis, and centrifuged at 8,000 ⫻ g for 10 min. After being washed once in 0.9% NaCl, cells were resuspended in 60 mM Tris-HCl, 13 mM MgCl2, 1 mM dithiothreitol (DTT), pH 7.5 (10 ml g⫺1 cell wet weight). Cells were disrupted by sonication (3 min using cycle 0.5 and amplitude 70; UP 200s sonifier; Hielscher, Stuttgart, Germany) in an ice bath. After centrifugation at 10,000 ⫻ g for 2 min, the supernatant was used as the cell extract. The determination of glucose kinase and gluconate kinase activities was performed with different dilutions of cell extract at 30°C by a coupled Fluxomics and Transcriptomics of G. oxydans 621H April 2013 Volume 79 Number 7 unstable and can decompose spontaneously, or by conversion of ␣-ketoglutarate to succinate semialdehyde by ␣-ketoglutarate decarboxylase (GOX0882) and subsequent oxidation of succinate semialdehyde to succinate by succinate semialdehyde dehydrogenase (GOX1122, GOX0499). To summarize, the isotope labeling data indicated that the TCA cycle intermediates were predominantly derived from the catabolism of amino acids in the yeast extract. All measurable amino acids were found to be purely naturally labeled in both phases (Fig. 2), which can be expected during cultivation in a medium containing yeast extract. Although we incorporated into our model (Fig. 2) reactions in which TCA cycle intermediates were formed from naturally labeled yeast extract components, the low 13C labeling of citrateisocitrate, aconitate, 2-oxoglutarate, and succinate could not be reasonably explained. This discrepancy might be accounted for, e.g., by assuming that part of the pyruvate is converted acetate or by assuming that labeling was not yet equilibrated in TCA intermediates at the sampling time point (8.0 h after the switch from naturally labeled glucose to 13C-labeled glucose mixture). The latter assumption is supported by the fact that most TCA cycle intermediates showed a higher labeling enrichment after 14.25 h than after 8 h. Consequently, the TCA cycle intermediates were excluded from metabolic flux analysis. Instead, a reduced model was used where effluxes from PEP and pyruvate represent fluxes to TCA, biomass, and by-products like acetate (see Figure 3). STD, standard deviation. Branching of intracellular carbon fluxes between nonphosphorylated and phosphorylated compounds. For sample points I and II, intracellular fluxes from glucose to pyruvate were estimated using the extracellular flux rates determined with the bioreactor model (see Fig. S1.2 in the supplemental material) and the 13 C labeling patterns of EMP and PPP intermediates of sample points I and II, respectively (Fig. 1A; Fig. 2). Repeated flux estimation with randomly chosen initial values showed a reproducibly well agreement of measurements and model predictions for all reactions of the EMP, PPP, and EDP. The small amount of glucose taken up by the cells (9.8%) at 8.0 h (sample point I) was primarily converted to gluconate (91.3%) by the cytoplasmic glucose dehydrogenase (GdhS) and gluconolactonase (Pgl) (Fig. 3A). Only 8.7% of the glucose taken up was phosphorylated to glucose 6-phosphate by glucose kinase (Glk). A total of 69.9% of the intracellular gluconate was converted to 5-ketogluconate by the NADP-dependent gluconate 5-dehydrogenase (31) and exported out of the cell. A smaller fraction was phosphorylated by gluconokinase (GntK) to 6-phosphogluconate, an intermediate common to both the PPP and the EDP. Hence, the sum of fluxes through Glk and GntK is the amount of carbon captured by the cells, i.e., only 5.3% of the total glucose metabolized. Measured in vitro enzyme activities revealed a Glk activity of 86 nmol min⫺1 mgprotein⫺1, agreeing well with the value of 60 nmol min⫺1 mgprotein⫺1 reported by Pronk et al. (32). The same authors reported activities of 4,000 and 150 nmol min⫺1 mgprotein⫺1 for GdhM and NADP-dependent GdhS, respectively, indicating that the cytoplasmic capacity for glucose dehydrogenation is only 3.8% of the membrane-bound capacity. Thus, in vitro determinations of enzyme activities are in agreement with our model prediction of the in vivo situation of carbon flux at sample point I. At sample point II, glucose uptake almost ceased due to the depletion of glucose from the culture medium. Instead, at 14.25 h, gluconate was consumed with 16.9% of the glucose consumption aem.asm.org 2339 Downloaded from http://aem.asm.org/ on March 24, 2013 by FORSCHUNGSZENTRUM JULICH GMBH possibility that 5-ketogluconate was formed in the periplasm by the membrane-bound major polyol dehydrogenase (GOX0854 and GOX0855) is unlikely, as this enzyme has its optimum activity for this reaction at acidic pH values of 3.5 to 4.0 (11, 29, 30). The cytoplasmic formation of 5-ketogluconate is in accordance with the 13C-MFA-based prediction. In the second growth phase, which was characterized by a very low growth rate (GLC ⫽ 0.002 h⫺1), gluconate was oxidized to 2-ketogluconate. This reaction proceeded at a lower velocity than the oxidation of glucose to gluconate (Fig. 1A). The specific activity of gluconate 2-dehydrogenase indeed is 70 to 80% lower than that of the membrane-bound glucose dehydrogenase, as determined with intact cells using a Clark oxygen electrode (results not shown). As discussed above, the oxidation to 5-ketogluconate by the major polyol dehydrogenase was prevented by keeping the pH at 6. In both the first and second oxidation phases, 337 mM 2-ketogluconate was formed and 432 mM O2 was consumed. NADH generated in the cytoplasm probably reduced the residual 95 mM O2. Hence, the main energy supply of the cells originated from substrate oxidation in the periplasm. Biomass production in the second growth phase was only one-fourth (0.38 gcdw liter⫺1) of that formed in the first growth phase (1.5 gcdw liter⫺1), although the concentration of accumulated gluconate at the beginning of the second growth phase was more than two-thirds of the initial 80 g liter⫺1 glucose. This indicates that energy generation by gluconate oxidation to ketogluconate is much lower than by oxidation of glucose to gluconate. Growth stopped before gluconate oxidation was completed. Parallel to biphasic growth, the oxygen consumption rate also showed two maxima (Fig. 1B). In growth phase I, the cells rapidly consumed oxygen, whereas in growth phase II, the oxygen consumption rate was much slower. This correlates with the fast oxidation of glucose to gluconate and the slow oxidation of gluconate to 2-ketogluconate (Fig. 1B). The carbon dioxide production rate was also biphasic (Fig. 1C), but its course was contrary to that of the oxygen consumption rate, as the rate was higher in growth phase II than in growth phase I, for which a constant rate of 6.5 mmol carbon dioxide h⫺1 gcdw⫺1 was estimated. The total CO2 produced in phase II (213 mM) was 8-fold higher than that in phase I (27 mM) (Fig. 1B). This increase in carbon dioxide production was an outcome of an activated, cyclic PPP as shown by 13 C-MFA described below. 13 C labeling patterns of intracellular metabolites. As described before, cells were fed with specifically labeled [13C]glucose, and mass isotopomer distributions of intracellular metabolites were quantified at the two sample points using LC-MS (cf. Tables S2.1 and S2.2 in the supplemental material). The MS analysis showed that labeling information was predominantly distributed in intermediates of the EMP and the PPP (Fig. 2). Notably, for these metabolites, no significant changes in 13C labeling patterns between sample points I and II were observed. In contrast to EMP and PPP intermediates, almost no 13C enrichment from labeled glucose was measured for TCA cycle intermediates. Considerable amounts of unlabeled fumarate and malate were detected. This indicates formation of these metabolites from amino acids present in the yeast extract. Despite the fact that G. oxydans 621H lacks genes for succinyl-CoA synthetase and succinate dehydrogenase, mainly unlabeled succinate was detected by the LC-MS analysis. It might be formed from glutamate or glutamine present in the yeast extract by conversion to ␣-ketoglutarate, which then is either oxidatively decarboxylated to succinyl-CoA, which is quite Hanke et al. rate at 8.0 h, whereas the glucose consumption rate dropped to almost zero (Fig. 3B). Contrary to the situation at sample point I, almost all intracellular gluconate was captured by phosphorylation to 6-phosphogluconate (98.8%). 2340 aem.asm.org Intracellular carbon fluxes of phosphorylated compounds. High fluxes in the oxidative part of the PPP, mediated by glucose 6-phosphate dehydrogenase (Zwf), 6-phosphogluconate dehydrogenase (Gnd), transaldolase (Tal), and transketolase (Tkt) in Applied and Environmental Microbiology Downloaded from http://aem.asm.org/ on March 24, 2013 by FORSCHUNGSZENTRUM JULICH GMBH FIG 2 Mass isotopomer labeling measurements of intracellular metabolites (red bars, after 8.0 h in growth phase I; green bars, after 14.25 h in growth phase II) arranged by pathways: fractional abundance over mass in context of the metabolic network. Error bars indicate standard deviations derived from two technical replicates (phase I) and two independent biological replicates with two technical replicates each (phase II). For abbreviations of flux and metabolite names used in the model, see Table S3.2 and S3.3 in the supplemental material. A switch from predominantly fully labeled mass isotopomers in the EMP and the PPP intermediates to almost naturally labeled TCA cycle intermediates is evident. Analysis of unphosphorylated glucose in the cytoplasm was rendered unfeasible by the large excess of extracellular glucose. Therefore, the labeling pattern of intracellular glucose is not included in the analysis. STD, standard deviation. Downloaded from http://aem.asm.org/ on March 24, 2013 by FORSCHUNGSZENTRUM JULICH GMBH FIG 3 In vivo flux distribution of G. oxydans during growth with glucose at 8.0 h (sample point I, panel A) and 14.25 h (sample point II, panel B) after switch of naturally labeled to specifically 13C-labeled glucose (GLC). The network diagram shows the metabolic pathways in the periplasm and the cytoplasm that were in the focus of the 13C-MFA study. Metabolites are represented by rectangles (white, extracellular; pink, periplasmic; orange, cytoplasmic). Flux values (yellow hexagons) at sampling times are related to 100% glucose (sample point I, panel A) or gluconate (sample point II, panel B) uptake. The width of each flux edge is scaled proportional to its underlying value; flux arrows are pointing in net flux direction. For abbreviations of flux and metabolite names used in the model, see Table S3.2 and S3.3 in the supplemental material. Absolute net flux values are given in the supplemental material (see Table S3.4). April 2013 Volume 79 Number 7 aem.asm.org 2341 Hanke et al. 2342 aem.asm.org ratory chain showed increased mRNA levels at sample point II, such as those for a PQQ-containing myo-inositol dehydrogenase (GOX1857, mRNA ratio of 12.0) (34), for the membrane-bound gluconate 2-dehydrogenase (GOX1230 and GOX1231, mRNA ratios of 2.8 and 2.3), for the type II NADH dehydrogenase (GOX1675, mRNA ratio of 3.0), and for the membrane-bound glycerol 3-phosphate dehydrogenase (GOX2088, mRNA ratio of 4.5). One of the two terminal oxidases of the respiratory chain of G. oxydans, the cytochrome bd ubiquinol oxidase (GOX0278 and GOX0279, mRNA ratios of 2.7 and 1.8), was also upregulated in growth phase II. The genes encoding pyridine nucleotide transhydrogenase (pntA1A2B, GOX0310 to GOX0312, mRNA ratios of 4.4 to 6.0) belonged to the most strongly upregulated genes at sample point II. Transhydrogenase PntAB is located in the cytoplasmic membrane of many bacteria and couples the reduction of NADP⫹ by NADH to the import of protons across the membrane. Transhydrogenase can operate reversibly, i.e., either consumes the electrochemical proton gradient across the cytoplasmic membrane for NADP⫹ reduction or builds up an electrochemical proton gradient at the expense of NADPH oxidation (35). The genes downstream of pntB, GOX0313 and GOX0314, showed comparable mRNA ratios (5.5 and 4.8) as the pntA1A2B genes, suggesting that these five genes might form an operon. The two genes encode zinccontaining alcohol dehydrogenases, of which one (GOX0313) was recently characterized (36). The G. oxydans genome contains three gene clusters coding for subunits of F1F0-ATP synthases. The clusters GOX1110 to GOX1113 and GOX1310 to GOX1314 encode the subunits of the F0 part and the F1 part of an ATP synthase, which is an ortholog of the ATP synthases of Acetobacter pasteurianus IFO 3283-01, Gluconacetobacter diazotrophicus PAl 5, and other alphaproteobacteria. Both these clusters showed a decreased expression at sample point II (mRNA ratio of 0.4 to 0.5). The genes of the third cluster, GOX2167 to GOX 2175, might code for an Na⫹-translocating F1F0-ATP synthase (33) and showed an increased expression at sample point II (mRNA ratio of 1.4 to 3.3). Genes involved in metabolism. Differentially expressed genes encoding enzymes involved in central metabolism all showed elevated mRNA ratios during growth on gluconate in phase II: glucose 6-phosphate dehydrogenase (zwf, GOX0145, ratio of 2.8), 6-phosphogluconate dehydrogenase (gnd, GOX1705, ratio of 2.7), bifunctional transaldolase/phosphoglucose isomerase (pgi/ tal, GOX1704, ratio of 2.9), transketolase (tkt, GOX1703, ratio of 2.7), and fructose 1,6-bisphosphate aldolase (fba, GOX1540, ratio of 3.2) (Fig. 4). Also the genes for triosephosphate isomerase (tpi) and the four adjacent genes, encoding ribose 5-phosphate isomerase, a ribose ABC transporter, and dihydroxyacetone kinase (GOX2217 to GOX2222, mRNA ratios of 10.8 to 1.9) showed increased expression in growth phase II. The genes encoding a glycerol facilitator (GOX 2089, mRNA ratio of 3.9) and glycerol kinase (GOX3090, mRNA ratio of 4.6), which presumably form an operon with GOX2088 (the membrane-bound glycerol 3-phosphate dehydrogenase, GOX2088, mRNA ratio of 4.5), also showed increased mRNA levels, which could suggest that the glycerol in the cultivation medium (0.5 g liter⫺1) is metabolized preferably in the second growth phase. A model variant allowing for glycerol uptake estimated a vanishing low uptake rate of glycerol, whereas the fit was not improved (data not shown). Therefore, this model variant was not regarded fur- Applied and Environmental Microbiology Downloaded from http://aem.asm.org/ on March 24, 2013 by FORSCHUNGSZENTRUM JULICH GMBH the direction of fructose 6-phosphate formation, were indicative of a major role of the PPP in glucose catabolism of G. oxydans. Setting the carbon fluxes at sample point I to 100% at the level of 6-phosphogluconate, 62% of the carbon flux was directed to Gnd and 38% was directed to 6-phosphogluconate dehydratase (Edd) (Fig. 3A). Consequently, the metabolic activity of the EDP was much lower than that of the PPP at sample point I. At sample point II, the same calculation resulted in an even stronger preference for the PPP, since here 93% of the carbon flux was directed to Gnd and only 7% to Edd (Fig. 3B). Operation of a cyclic PPP in G. oxydans. 13C-MFA revealed a high flux for the glucose 6-phosphate isomerase-catalyzed reaction (Pgi) in the direction from fructose 6-phosphate to glucose 6-phosphate, i.e., contrary to the direction used in glycolysis. At sample points I and II, the net negative fluxes through Pgi were 91% and 176% of the sum of fluxes via glucose kinase and gluconate kinase. This result shows that due to the lack of phosphofructokinase, fructose 6-phosphate formed in the PPP is isomerized to glucose 6-phosphate and enters the oxidative PPP again. Consequently, a partially cyclic flow of carbon through the PPP occurs and 1 mol glucose 6-phosphate is converted to 1 mol pyruvate and three mol carbon dioxide (Fig. 3A and B). Since at sample points I and II 38% and 7% of the total 6-phosphogluconate was diverted to the EDP, in which no carbon dioxide is produced, the actual CO2 per glucose/gluconate yield should be lower than three. However, the measured amount of carbon dioxide was 20% higher than the one calculated from the cytoplasmic metabolism of glucose described above (see Table S4.2 in the supplemental material). This discrepancy is most likely due to the metabolism of components present in the yeast extract and of glycerol. In accordance with the fact that the carbon flux downstream of the PPP is continued at the level of glyceraldehyde 3-phosphate, very low fluxes were observed for the reactions of fructose 1,6bisphosphatase (Fbp), fructose 1,6-bisphosphate aldolase (Fba), and triosephosphate isomerase (Tpi) (Fig. 3A and B). Comparison of global gene expression and selected enzyme activities in growth phases I and II. The results described above showed that glucose is oxidized mainly in the periplasm to gluconate (growth phase I) and subsequently to 2-ketogluconate (growth phase II). Glucose and gluconate taken up into the cytoplasm are predominantly catabolized via a partially cyclic PPP, notably in growth phase II. To correlate the carbon fluxes with global gene expression and in vitro activities of selected enzymes, cells were harvested for RNA isolation and cell extracts were prepared after 6.5 h (OD600 ⫽ 2.2, sample point I) and after 14 h (OD600 ⫽ 6.0, sample point II), respectively (see Fig. S5 in the supplemental material). The cultivations were performed in triplicate starting from independent precultures. RNA was prepared from the six samples and used for comparative DNA microarray analysis as described recently (14). In total, 454 genes showed differential expression: 227 genes had an mRNA ratio (sample point II to sample point I) of ⱖ2.0, and 227 genes had an mRNA ratio of ⱕ0.5. These genes are listed in Table S6 in the supplemental material. Selected genes (including operons) are described in the following paragraphs based on a functional categorization (Table 1). Genes involved in respiration and energy metabolism. Many of the genes whose expression was influenced after the transition to growth phase II are involved in respiration and ATP synthesis. Several genes encoding proteins that feed electrons into the respi- Fluxomics and Transcriptomics of G. oxydans 621H TABLE 1 Genome-wide comparison of mRNA levels in G. oxydans during growth on glucose in sample point II versus sample point Ia Annotation or protein Respiration and energy metabolism GOX1857 GOX0310 GOX0311 GOX0312 GOX0313 GOX0314 GOX2087 GOX2088 GOX2089 GOX2090 GOX2167 GOX2168 GOX2169 GOX2170 GOX2171 GOX2172 GOX2173 GOX2174 GOX2175 GOX1675 GOX1230 GOX1231 GOX1232 GOX0278 GOX0279 GOX1310 GOX1311 GOX1312 GOX1313 GOX1314 GOX1110 GOX1111 GOX1112 GOX1113 mRNA ratio of 14 genes, ⱖ2.0; 9 genes, ⱕ0.5 myo-Inositol dehydrogenase NAD(P) transhydrogenase subunit ␣1 NAD(P) transhydrogenase subunit ␣2 NAD(P) transhydrogenase subunit  Alcohol:NAD⫹ oxidoreductase Probable alcohol:NAD(P)⫹ oxidoreductase Glycerol-3-phosphate regulon repressor Glycerol-3-phosphate dehydrogenase Glycerol uptake facilitator protein Glycerol kinase F1F0-ATP synthase subunit  F1F0-ATP synthase subunit ε F1F0-ATP synthase subunit q F1F0-ATP synthase subunit r F1F0-ATP synthase subunit a F1F0-ATP synthase subunit c F1F0-ATP synthase subunit b F1F0-ATP synthase subunit ␣ F1F0-ATP synthase subunit ␥ NADH dehydrogenase type II Gluconate 2-dehydrogenase cytochrome c subunit Gluconate 2-dehydrogenase subunit ␣ Gluconate 2-dehydrogenase subunit ␥ Cytochrome bd ubiquinol oxidase subunit I Cytochrome bd ubiquinol oxidase subunit II F1F0-ATP synthase subunit ␦ F1F0-ATP synthase subunit ␣ F1F0-ATP synthase subunit ␥ F1F0-ATP synthase subunit  F1F0-ATP synthase subunit ε F1F0-ATP synthase subunit b= F1F0-ATP synthase subunit b F1F0-ATP synthase subunit c F1F0-ATP synthase subunit a Metabolism GOX2217 GOX2218 GOX2219 GOX2220 GOX2221 GOX2222 GOX1540 GOX1703 GOX1704 GOX1705 GOX0145 GOX1381 GOX1643 GOX0431 GOX1335 GOX1336 mRNA ratio of 45 genes, ⱖ2.0; 66 genes, ⱕ0.5 Triosephosphate isomerase Ribose-5-phosphate isomerase B Ribose ABC transporter, periplasmic binding protein Ribose ABC transporter, ATP-binding protein Ribose ABC transporter, permease protein Dihydroxyacetone kinase Fructose-1,6-bisphosphate aldolase Transketolase Bifunctional transaldolase/phosphoglucose isomerase 6-Phosphogluconate dehydrogenase-like protein Glucose-6-phosphate 1-dehydrogenase Gluconolactonase Fumarate hydratase Phosphogluconate dehydratase Aconitate hydratase Isocitrate dehydrogenase Transport GOX2188 GOX0812 GOX0813 GOX0814 GOX0815 GOX0816 mRNA ratio of 11 genes, ⱖ2.0; 36 genes, ⱕ0.5 Gluconate permease Phosphoenolpyruvate-protein phosphotransferase Phosphocarrier protein HPr PTS system IIA component Hypothetical protein GOX0815 HPr kinase Gene pntA1 pntA2 pntB glpR glpD glpT glpK atpD atpC atpQb atpRb atpB atpE atpF atpA atpG ndh gndA gndB gndC cydA cydB atpH atpA atpG atpD atpC atpF’ atpF atpE atpB tpi rpi fba tkt pgi/tal gnd zwf fumC edd aco icd ptsI ptsH ptsIIA ptsK mRNA ratio of phases II/I P value 11.96 4.38 6.02 5.06 5.53 4.84 1.84 4.50 3.93 4.58 2.09 3.27 2.09 1.60 2.39 1.83 1.75 1.63 1.41 2.96 2.75 2.33 2.17 2.70 1.75 0.35 0.44 0.43 0.49 0.51 0.37 0.41 0.44 0.41 1.69 ⫻10⫺2 2.88 ⫻10⫺4 3.74 ⫻10⫺3 1.46 ⫻10⫺3 6.79 ⫻10⫺4 9.01 ⫻10⫺4 7.62 ⫻10⫺2 4.00 ⫻10⫺3 1.32 ⫻10⫺2 9.33 ⫻10⫺3 4.12 ⫻10⫺2 NA 1.04 ⫻10⫺2 NA 1.39 ⫻10⫺2 2.84 ⫻10⫺2 3.89 ⫻10⫺2 6.11 ⫻10⫺2 NA 2.13 ⫻10⫺3 4.98 ⫻10⫺3 1.10 ⫻10⫺2 6.59 ⫻10⫺2 1.17 ⫻10⫺3 6.67 ⫻10⫺2 2.40 ⫻10⫺3 4.94 ⫻10⫺3 1.09 ⫻10⫺2 3.67 ⫻10⫺2 1.34 ⫻10⫺2 6.03 ⫻10⫺4 3.28 ⫻10⫺3 9.45 ⫻10⫺5 1.36 ⫻10⫺3 10.78 4.96 4.08 1.95 3.24 1.85 3.18 2.71 2.85 2.72 2.75 2.56 0.50 0.44 0.38 0.29 2.33 ⫻10⫺3 1.16 ⫻10⫺3 7.58 ⫻10⫺3 6.41 ⫻10⫺6 NA 5.13 ⫻10⫺3 3.58 ⫻10⫺4 4.39 ⫻10⫺3 2.50 ⫻10⫺2 4.73 ⫻10⫺2 1.97 ⫻10⫺2 2.89 ⫻10⫺3 9.48 ⫻10⫺3 5.70 ⫻10⫺3 6.51 ⫻10⫺3 3.99 ⫻10⫺3 3.46 1.42 2.07 2.79 3.12 1.13 7.93 ⫻10⫺4 3.19 ⫻10⫺2 1.16 ⫻10⫺2 2.46 ⫻10⫺3 4.49 ⫻10⫺5 7.27 ⫻10⫺2 (Continued on following page) April 2013 Volume 79 Number 7 aem.asm.org 2343 Downloaded from http://aem.asm.org/ on March 24, 2013 by FORSCHUNGSZENTRUM JULICH GMBH Function and locus tag Hanke et al. TABLE 1 (Continued) Annotation or protein Regulation and signal transduction GOX0506 GOX0498 GOX2735 GOX2565 GOX2564 GOX0577 GOX0974 GOX1693 GOX0135 GOX2405 GOX1946 GOX0563 GOX2114 GOX1600 GOX0132 GOX2579 GOX0394 GOX0395 GOX0772 mRNA ratio of 14 genes, ⱖ2; 5 genes, ⱕ0.5 RNA polymerase sigma factor H (32) Transcriptional regulator, HxlR family Transcriptional regulator, PemK Transcriptional regulator, PemI Transcriptional regulator, toxin ChpA Transcriptional regulator Transcriptional regulator, Crp/Fnr family Cell cycle transcriptional regulator CtrA Transcriptional regulator, Ros/MucR family Two-component response regulator, PhyR homolog Two-component response regulator Transcriptional regulator, TetR family Transcriptional regulator Two-component response regulator Transcriptional regulator Transcriptional regulator, TetR family Two-component sensor histidine kinase DNA-binding response regulator Transcriptional regulator, Ros/MucR family Stress GOX2079 GOX1329 GOX2397 GOX0833 GOX1879 GOX2163 GOX1837 GOX0608 GOX0609 GOX1107 GOX0857 GOX1414 GOX0707 mRNA ratio of 13 genes, ⱖ2.0; 1 gene, ⱕ0.5 General starvation protein Small heat shock protein Small heat shock protein Cold shock protein Superoxide dismutase Cold shock protein Small heat shock protein HspA ATP-dependent Clp protease adaptor protein ClpS ATP-dependent Clp protease ATP-binding subunit ClpA O antigen biosynthesis protein RfbC Chaperone protein DnaK Chaperone protein DnaJ DNA starvation/stationary phase protection protein Dps Motility GOX0697 Transcriptional and translational machinery Predicted functions Hypothetical proteins mRNA ratio of 1 gene, ⱖ2.0; 0 genes, ⱕ0.5 Flagellar FliL protein mRNA ratio of 6 genes, ⱖ2.0; 66 genes, ⱕ0.5 mRNA ratio of 30 genes, ⱖ2.0; 18 genes, ⱕ0.5 mRNA ratio of 93 genes, ⱖ2.0; 26 genes, ⱕ0.5 mRNA ratio of phases II/I P value 4.83 4.62 4.49 4.17 3.27 3.23 2.68 2.58 2.45 2.40 2.39 2.35 2.14 2.03 0.24 0.49 0.46 0.44 0.43 6.65 ⫻10⫺3 1.67 ⫻10⫺3 1.08 ⫻10⫺3 8.51 ⫻10⫺4 9.09 ⫻10⫺4 2.03 ⫻10⫺3 3.00 ⫻10⫺3 2.00 ⫻10⫺2 3.47 ⫻10⫺2 6.46 ⫻10⫺3 3.45 ⫻10⫺4 8.20 ⫻10⫺4 4.78 ⫻10⫺3 7.60 ⫻10⫺6 1.03 ⫻10⫺4 4.38 ⫻10⫺2 4.70 ⫻10⫺4 4.53 ⫻10⫺19 3.35 ⫻10⫺5 hsd hsd csp sod csp hspA clpS clpA rfbC dnaK dnaJ dps 31.69 18.31 4.84 4.74 3.58 2.97 2.82 2.37 1.75 2.33 2.31 2.26 2.03 2.71 ⫻10⫺4 1.04 ⫻10⫺3 1.40 ⫻10⫺3 1.42 ⫻10⫺4 2.19 ⫻10⫺4 4.13 ⫻10⫺3 5.99 ⫻10⫺3 8.09 ⫻10⫺3 2.79 ⫻10⫺3 6.22 ⫻10⫺3 5.98 ⫻10⫺3 2.54 ⫻10⫺2 1.32 ⫻10⫺3 fliL 2.68 4.04 ⫻10⫺3 Gene rpoH Cells were harvested for RNA isolation after 8 h (OD600 ⫽ 3.6, sample point I) and after 14.25 h (OD600 ⫽ 7.6, sample point II). Selected genes with an mRNA ratio of ⱖ2.0 (lower ones allowed in the case of operons) or ⱕ0.5 (higher ones allowed in the case of operons) and a P value of ⱕ0.05 are listed. The data shown represent mean values from three biological replicates. The genes were grouped into different functional categories within which they were ordered according to their mRNA ratios except in the case of operons, which were ordered according to their locus tag. A list of all genes with an mRNA ratio of ⱖ2.0 or ⱕ0.5 in the respective functional categories is given in Table S6 in the supplemental material. NA, not available. b Nomenclature according to Dibrova et al. (33). a ther. Possibly, glycerol catabolism is repressed in the presence of glucose in growth phase I, which could be due to a regulatory function of the rudimentary PTS system (see below). Among the genes with a lowered expression level at sample point II was phosphogluconate dehydratase (edd, GOX0431, mRNA ratio of 0.4), the first of the two key enzymes of the EDP. Furthermore, three genes encoding enzymes of the TCA cycle showed decreased mRNA ratios, aconitate hydratase (acn, GOX1335, ratio of 0.4), isocitrate dehydrogenase (icd, GOX1336, ratio of 0.3), and fumarate hydratase (fumC, GOX1643, ratio of 0.5). Genes involved in transport. In accordance with gluconate 2344 aem.asm.org being the carbon source in growth phase II, the gene encoding gluconate permease (GOX2188, mRNA ratio of 3.5) showed increased expression. Due to the lack of the EIIB and EIIC components, the PTS system in G. oxydans is considered to be inactive as a transport system (3), and the function of the remaining components, EI, HPr, EIIA, is not yet clear. The genes encoding the latter proteins (GOX0812 to GOX0816) had increased expression levels (mRNA ratios of 1.4 to 2.8) in growth phase II, showing that they are subject to transcriptional regulation. Genes involved in regulation and signal transduction. Thirteen genes coding for transcriptional regulators had increased mRNA levels at sample point II, 10 of them coding for one-com- Applied and Environmental Microbiology Downloaded from http://aem.asm.org/ on March 24, 2013 by FORSCHUNGSZENTRUM JULICH GMBH Function and locus tag Fluxomics and Transcriptomics of G. oxydans 621H activity ratios, and rounded rectangles the mRNA ratios. For abbreviations of flux and metabolite names used in the model, see Table S3.2 and S3.3 in the supplemental material. ponent transcriptional regulators of different families and three coding for response regulators of two-component signal transduction systems. In addition, expression of the gene coding for sigma factor 32 (sigH, GOX0506, mRNA ratio of 4.8) was in- April 2013 Volume 79 Number 7 creased in growth phase II. Five transcriptional regulator genes showed decreased expression. Whereas the target genes of the transcriptional regulators and the stimuli they respond to have not been identified yet, 32 of other bacteria is known to be induced aem.asm.org 2345 Downloaded from http://aem.asm.org/ on March 24, 2013 by FORSCHUNGSZENTRUM JULICH GMBH FIG 4 Multiomics comparison of ratios at sampling time point II versus sampling time point I. Arrows represent the carbon flux ratios, diamonds the enzyme Hanke et al. DISCUSSION In this study, the first 13C-based metabolic flux analysis was performed for G. oxydans and combined with a comparative transcriptome analysis and enzyme activity assays. Although the genome sequence indicates that G. oxydans 621H contains all genes required for the de novo synthesis of all nucleotides, amino acids, phospholipids, and most vitamins (3), it apparently cannot provide sufficient quantities of certain building blocks, as there are 2346 aem.asm.org TABLE 2 Comparison of in vitro enzyme activities of Glk (EC 2.7.1.1), Gntk (EC 2.7.1.12), Zwf (EC 1.1.1.49), and Gnd (EC 1.1.1.44) of glucose-grown cells at sample points I and IIa Activity (nmol min⫺1 mgprotein⫺1) at sample point ⫾ SD Enzyme I II Ratio II/I ⫾ SD Glucose kinase (Glk) Gluconate kinase (Gntk) Glucose-6-phosphate dehydrogenase (Zwf) 6-Phosphogluconate dehydrogenase (Gnd) 86 ⫾ 4 34 ⫾ 3 280 ⫾ 6 180 ⫾ 2 86 ⫾ 4 68 ⫾ 1 940 ⫾ 9 420 ⫾ 8 1.0 ⫾ 0.1 2.0 ⫾ 0.2 3.4 ⫾ 0.1 2.3 ⫾ 0.1 Initial concentration of glucose, 80 g liter⫺1. Mean values and standard deviations derived from three independent cultures are shown. a several reports in the literature that growth of G. oxydans on defined medium without yeast extract results in a very low biomass formation (39–41). Thus, in the 13C-MFA, the utilization of yeast extract components had to be taken into account, which complicates the analysis. A second challenge for 13C-MFA was the low growth rate in growth phase II, which requires long experimentation times in order to reach an isotopically pseudo-equilibrated state that is characteristic for a growth phase. If cellular conditions change considerably within this period (e.g., in the case of substrate depletion), isotopic stationarity cannot be reached in less active parts of metabolism. These problems might be solved in the future by an isotope-based untargeted analysis, recently termed the TARDIS (time and relative differences in systems) approach, which provides an option to address both metabolic pathway elucidation and flux determination (42). Despite the hurdles described above, 13C-MFA led to a number of important results with respect to the cytoplasmic sugar catabolism of G. oxydans. Glucose taken up into the cytoplasm at sample point I was predominantly oxidized to gluconate, which then was either further oxidized to 5-ketogluconate or phosphorylated to 6-phosphogluconate. About 10% of the glucose was phosphorylated and oxidized to 6-phosphogluconate. The major route for 6-phosphogluconate metabolism was the PPP, 62% and 93% in growth phases I and II, respectively. This preference of the PPP was also observed by us in a recent analysis of ⌬gnd and ⌬edd-eda mutants of G. oxydans during growth on mannitol (15) or on glucose (43). The prevalence of the PPP as the major catabolic pathway is a feature not often observed in bacteria. In a comparative 13C-MFA of glucose metabolism in seven bacterial species (Agrobacterium tumefaciens, two pseudomonads, Sinorhizobium meliloti, Rhodobacter sphaeroides, Zymomonas mobilis, and Paracoccus versutus), Fuhrer and Sauer (44) showed that glucose was predominantly degraded via the EDP, and the PPP had a solely anabolic function. Another important result of 13C-MFA was the demonstration of the cyclic nature of the carbon flux through the oxidative part of the PPP, as shown by the strong net flux from fructose 6-phosphate to glucose 6-phosphate in the Pgi-catalyzed reaction. This cyclic flux is caused by the absence of 6-phosphofructokinase. Carbon dioxide production in growth phase II was in accordance with the amount calculated based on the stoichiometry of a cyclized PPP from the experimentally determined carbon uptake values. A partially cyclic operation of the PPP was expected from theoretical considerations (7) and has recently also been demon- Applied and Environmental Microbiology Downloaded from http://aem.asm.org/ on March 24, 2013 by FORSCHUNGSZENTRUM JULICH GMBH under different stress conditions and to activate expression of genes required to counteract these stresses (37). As shown below, expression of several stress genes was induced during growth with gluconate in phase II, which might be due to the activity of 32. Genes involved in stress responses. The highest expression change in all of this genome-wide transcriptional analysis was displayed by GOX2079 (mRNA ratio of 31.7). The gene product possesses a GsiB domain often found in stress-induced proteins and might be related to a general starvation protein, as found in Bacillus species (38). Several other genes involved in different types of stress responses, such as heat shock (GOX1329, ratio of 18.3; GOX2397, ratio of 4.8; GOX1837, ratio of 2.8), cold shock (GOX0833, ratio of 4.7; GOX2163, ratio of 3.0), or oxidative stress (GOX1879, ratio of 3.6), the chaperons DnaK (GOX0857, ratio of 2.3) and DnaJ (GOX1414, ratio of 2.3), as well as two genes encoding components of Clp ATPases (GOX0608, ratio of 2.4; GOX0609, ratio of 1.8) were found to have increased mRNA levels at sample point II, which might be related to the increased expression of the 32 gene. As the cells face neither heat nor cold stress under the cultivation conditions used, the induction of these genes might represent a kind of general stress response triggered by the decreased growth rate with gluconate. Genes involved in motility. Only one of the 29 genes involved in flagellum biosynthesis and function showed an increased expression (fliL, GOX0697, mRNA ratio of 2.7), and none of the 13 chemotaxis-assigned genes present in the genome of G. oxydans 621H were differentially regulated, suggesting that G. oxydans does not respond with increased motility when growing on gluconate. Genes involved in the transcriptional and translational machinery. Many genes encoding proteins involved in transcription and translation showed lower expression at sample point II (see Table S6 in the supplemental material). This response probably presents an adaptation to the reduced, linear growth observed after transition of the cells from glucose to gluconate as the carbon source. Genes with predicted and unknown functions. Forty-eight genes encoding proteins with predicted functions were differentially expressed, of which 30 showed an mRNA ratio of ⱖ2.0 and 18 an mRNA ratio of ⱕ0.5 (see Table S6 in the supplemental material). A total of 119 genes with unknown functions encoding hypothetical proteins were differentially expressed. In vitro enzyme assays. The in vitro activities of glucose kinase (Glk), gluconate kinase (GntK), glucose 6-phosphate dehydrogenase (Zwf), and 6-phosphogluconate dehydrogenase (Gnd) were determined in cell extracts derived from sample points I and II (Table 2). Whereas the activity of Glk remained constant in both phases, the activity of the other three enzymes increased 2- to 3.4-fold in the second growth phase, which correlates with their increased mRNA levels and the increased carbon flux through the PPP in growth phase II (Fig. 4). Fluxomics and Transcriptomics of G. oxydans 621H April 2013 Volume 79 Number 7 MFA, in vitro enzyme assays, and genome-wide transcription analysis that the PPP is the predominant pathway for intracellular sugar catabolism in G. oxydans. In addition, 13C-MFA verified the cyclic nature of the carbon flux through the oxidative part of the PPP. ACKNOWLEDGMENTS This work was funded by the German Ministry of Education and Research within the GenoMik-Plus program (BMBF 0313751H). We thank DSM Nutritional Products, Kaiseraugst, Switzerland, for financial support. We thank Petra Simić and Hans-Peter Hohmann (DSM Nutritional Products) for their scientific input and their continued disposition for discussion. We also thank Bianca Klein for expert LC-MS analysis, Jana Tillack for providing process model simulations, and Janine Richhardt for her support during manuscript writing. REFERENCES 1. Matsushita K, Toyama H, Adachi O. 1994. Respiratory chains and bioenergetics of acetic acid bacteria. Adv. Microb. Physiol. 36:247–301. 2. Levering PR, Weenk G, Olijve W, Dijkhuizen L, Harder W. 1988. Regulation of gluconate and ketogluconate production in Gluconobacter oxydans ATCC 621H. Arch. Microbiol. 149:534 –539. 3. Prust C, Hoffmeister M, Liesegang H, Wiezer A, Fricke WF, Ehrenreich A, Gottschalk G, Deppenmeier U. 2005. Complete genome sequence of the acetic acid bacterium Gluconobacter oxydans. Nat. Biotechnol. 23:195– 200. 4. Deppenmeier U, Ehrenreich A. 2009. Physiology of acetic acid bacteria in light of the genome sequence of Gluconobacter oxydans. J. Mol. Microbiol. Biotechnol. 16:69 – 80. 5. Deppenmeier U, Hoffmeister M, Prust C. 2002. Biochemistry and biotechnological applications of Gluconobacter strains. Appl. Microbiol. Biotechnol. 60:233–242. 6. Kersters K, Lisdiyanti P, Komagata K, Swings J. 2006. The family Acetobacteraceae: the genera Acetobacter, Acidomonas, Asaia, Gluconacetobacter, Gluconobacter, and Kozakia, p 163–200. In Dworkin M, Falkow S, Rosenberg E, Schleifer K-H, Stackebrandt E (ed), The prokaryotes, vol. 5, 3rd ed. Springer-Verlag GmbH, Heidelberg, Germany. 7. Kruger NJ, von Schaewen A. 2003. The oxidative pentose phosphate pathway: structure and organisation. Curr. Opin. Plant Biol. 6:236 –246. 8. Siedler S, Bringer S, Blank LM, Bott M. 2012. Engineering yield and rate of reductive biotransformation in Escherichia coli by partial cyclization of the pentose phosphate pathway and PTS-independent glucose transport. Appl. Microbiol. Biotechnol. 93:1459 –1467. 9. Fritsche W. 1999. Mikrobiologie. Spektrum, Akademischer Verlag, Heidelberg-Berlin, Germany. 10. Kitos PA, Wang CH, Mohler BA, King TE, Cheldelin VH. 1958. Glucose and gluconate dissimilation in Acetobacter suboxydans. J. Biol. Chem. 233: 1295–1298. 11. Ano Y, Shinagawa E, Adachi O, Toyama H, Yakushi T, Matsushita K. 2011. Selective, high conversion of D-glucose to 5-keto-D-gluconate by Gluconobacter suboxydans. Biosci. Biotechnol. Biochem. 75:586 –589. 12. Christiansen T, Christensen B, Nielsen J. 2002. Metabolic network analysis of Bacillus clausii on minimal and semirich medium using 13Clabeled glucose. Metab. Eng. 4:159 –169. 13. Luo B, Grönke K, Takors R, Wandrey C, Oldiges M. 2007. Simultaneous determination of multiple intracellular metabolites in glycolysis, pentose phosphate pathway and tricarboxylic acid cycle by liquid chromatography-mass spectrometry. J. Chromatogr. A 1147:153–164. 14. Hanke T, Richhardt J, Polen T, Sahm H, Bringer S, Bott M. 2012. Influence of oxygen limitation, absence of the cytochrome bc1 complex and low pH on global gene expression in Gluconobacter oxydans 621H using DNA microarray technology. J. Biotechnol. 157:359 –372. 15. Richhardt J, Bringer S, Bott M. 2012. Mutational analysis of the pentose phosphate and Entner-Doudoroff pathways in Gluconobacter oxydans reveals improved growth of a ⌬edd ⌬eda mutant on mannitol. Appl. Environ. Microbiol. 78:6975– 6986. 16. Villas-Boas SG, Mas S, Akesson M, Smedsgaard J, Nielsen J. 2005. Mass spectrometry in metabolome analysis. Mass Spectrom. Rev. 24:613– 646. 17. Thiele B, Füllner K, Stein N, Oldiges M, Kuhn AJ, Hofmann D. 2008. Analysis of amino acids without derivatization in barley extracts by LCMS-MS. Anal. Bioanal. Chem. 391:2663–2672. aem.asm.org 2347 Downloaded from http://aem.asm.org/ on March 24, 2013 by FORSCHUNGSZENTRUM JULICH GMBH strated for an Escherichia coli ⌬pfkA mutant devoid of the gene encoding phosphofructokinase A (8). The TCA cycle intermediates citrate/isocitrate, aconitate, ␣-ketoglutarate, succinate, fumarate, and malate showed a very low level of 13C label, indicating that the majority of these metabolites were derived from components of the yeast extract, in particular amino acids. The fact that bacteria stop the endogenous synthesis of amino acids (and other precursors) when external sources are available is well known. Whether these external sources are used only for protein synthesis and other biosynthetic purposes or serve as energy sources, too, depends on the particular metabolic capacity of the host and the available nutrients. In G. oxydans, the situation is special, as its TCA cycle is incomplete due to the lack of succinyl-CoA synthetase and succinate dehydrogenase and therefore can serve only an anabolic function. Thus, even in the absence of yeast extract, the flux from citrate to ␣-ketoglutarate as a precursor of the glutamate family of amino acids should just be sufficient to meet the biosynthetic demands, as a higher flux would lead to the accumulation of TCA cycle intermediates. The labeling pattern of the TCA cycle intermediates suggests that the flux through citrate synthase is very low, either because the majority of pyruvate is converted to acetaldehyde and acetate rather than to acetyl-CoA or because of a low availability of oxaloacetate. Transition of cells from growth with glucose to growth with gluconate was accompanied by an increase of the activities of gluconate kinase, glucose 6-phosphate dehydrogenase, and 6-phosphogluconate dehydrogenase as well as with decreased growth and oxygen consumption. These changes were paralleled by an increased expression of PPP genes and a decreased expression of the edd gene for 6-phosphogluconate dehydratase. The changes in gene expression and enzyme activities were in accord with the PPP being the dominant pathway for cytoplasmic gluconate catabolism in growth phase II (Fig. 4). The increased activity of gluconate kinase might explain the higher flux of gluconate into the PPP and the reduced conversion of gluconate to 5-ketogluconate in phase II. The transcriptome comparison revealed more than 500 genes whose mRNA level was changed at least 2-fold in growth phase II. This high number presumably can be attributed to a large extent to the strongly reduced growth rate, which is expected to cause decreased expression of genes involved in transcription and translation. The reduced growth rate might also explain a significant number of similarities to the transcriptional response observed after a switch from oxygen excess to oxygen-limiting conditions, which also led to slow growth (14). These similarities include, e.g., the increased mRNA levels of the transhydrogenase operon (GOX0310 to GOX0314), the putative Na⫹-transporting F1F0ATP synthase operon (GOX02167 to GOX02175), the cytochrome bd oxidase operon (GOX0278 to GOX0279), the PTS operon (GOX0812 to GOX0815), the sigma factor H gene (GOX0506), the transcriptional regulator gene (GOX0135), and genes for several stress-related proteins (GOX0609, GOX1329, GOX1414, GOX2397), and the decreased mRNA levels of, e.g., the genes coding for the H⫹-transporting F1F0-ATP synthase (GOX1110 to GOX1113, GOX1310 to GOX1314), the genes for aconitase (GOX1335) and isocitrate dehydrogenase (GOX1336), and the genes for two transcriptional regulators (GOX0772, GOX0132). These changes might represent a general stress response of G. oxydans. In conclusion, the present study has demonstrated by 13C- Hanke et al. 2348 aem.asm.org 31. Klasen R, Bringer-Meyer S, Sahm H. 1995. Biochemical characterization and sequence analysis of the gluconate:NADP 5-oxidoreductase gene from Gluconobacter oxydans. J. Bacteriol. 77:2637–2643. 32. Pronk JT, Levering PR, Oiijve W, van Dijken JP. 1989. Role of NADP dependent and quinoprotein glucose dehydrogenases in gluconic acid production by Gluconobacter oxydans. Enzyme Microb. Technol. 11:160 –164. 33. Dibrova DV, Galperin M, Mulkidjanian A. 2010. Characterization of the N-ATPase, a distinct, laterally transferred Na⫹-translocating form of the bacterial F-type membrane ATPase. Bioinformatics 26:1473–1476. 34. Hölscher T, Weinert-Sepalage D, Görisch H. 2007. Identification of membrane-bound quinoprotein inositol dehydrogenase in Gluconobacter oxydans ATCC 621H. Microbiology 153:499 –506. 35. Jackson JB, White SA, Quirk PG, Venning JD. 2002. The alternating site, binding change mechanism for proton translocation by transhydrogenase. Biochemistry 41:4173– 4185. 36. Schweiger P, Gross H, Zeiser J, Deppenmeier U. 18 September 2012. Asymmetric reduction of diketones by two Gluconobacter oxydans oxidoreductases. Appl. Microbiol. Biotechnol. [Epub ahead of print.] doi:10 .1007/s00253-012-4395-3. 37. Österberg S, Del Peso-Santos T, Shingler V. 2011. Regulation of alternative sigma factor use. Annu. Rev. Microbiol. 65:37–55. 38. Maul B, Völker U, Riethdorf S, Engelmann S, Hecker M. 1995. Sigma B-dependent regulation of gsiB in response to multiple stimuli in Bacillus subtilis. Mol. Gen. Genet. 248:114 –120. 39. Olijve W, Kok JJ. 1979. Analysis of growth of Gluconobacter oxydans in glucose containing media. Arch. Microbiol. 121:283–290. 40. Rao MR, Stokes JL. 1953. Nutrition of the acetic acid bacteria. J. Bacteriol. 65:405– 412. 41. Raspor PP, Goranovič D. 2008. Biotechnological applications of acetic acid bacteria. Crit. Rev. Biotechnol. 28:101–124. 42. Winder CL, Dunn WB, Goodacre R. 2011. TARDIS-based microbial metabolomics: time and relative differences in systems. Trends Microbiol. 19:315–322. 43. Richhardt J, Bringer S, Bott M. 25 January 2013. Role of the pentose phosphate pathway and the Entner-Doudoroff pathway in glucose metabolism of Gluconobacter oxydans 621H. Appl. Microbiol. Biotechnol. [Epub ahead of print.] doi:10.1007/s00253-013-4707-2. 44. Fuhrer T, Sauer U. 2009. Different biochemical mechanisms ensure network-wide balancing of reducing equivalents in microbial metabolism. J. Bacteriol. 191:2112–2121. Applied and Environmental Microbiology Downloaded from http://aem.asm.org/ on March 24, 2013 by FORSCHUNGSZENTRUM JULICH GMBH 18. Nöh K, Grönke K, Luo B, Takors R, Oldiges M, Wiechert W. 2007. Metabolic flux analysis at ultra short time scale: isotopically nonstationary 13C labeling experiments. J. Biotechnol. 129:249 –267. 19. Sauer U. 2006. Metabolic networks in motion: 13C-based flux analysis. Mol. Syst. Biol. 2:62. 20. Wiechert W. 2001. 13C metabolic flux analysis. Metab. Eng. 3:195–206. 21. Weitzel M, Nöh K, Dalman T, Niedenführ S, Stute B, Wiechert W. 2013. 13CFLUX2— high-performance software suite for 13C-metabolic flux analysis. Bioinformatics 29:143–145. 22. Fraenkel DG, Levisohn SR. 1967. Glucose and gluconate metabolism in an Escherichia coli mutant lacking phosphoglucose isomerase. J. Bacteriol. 93:1571–1578. 23. Moritz B, Striegel K, De Graaf AA, Sahm H. 2000. Kinetic properties of the glucose-6-phosphate and 6-phosphogluconate dehydrogenases from Corynebacterium glutamicum and their application for predicting pentose phosphate pathway flux in vivo. Eur. J. Biochem. 267:3442–3452. 24. Rauch B, Pahlke J, Schweiger P, Deppenmeier U. 2010. Characterization of enzymes involved in the central metabolism of Gluconobacter oxydans. Appl. Microbiol. Biotechnol. 88:711–718. 25. Tonouchi N, Sugiyama M, Yokozeki K. 2003. Coenzyme specificity of enzymes in the oxidative pentose phosphate pathway of Gluconobacter oxydans. Biosci. Biotechnol. Biochem. 67:2648 –2651. 26. Bradford MM. 1976. A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding. Anal. Biochem. 72:248 –254. 27. Esler MB, Griffith DW, Wilson SR, Steele LP. 2000. Precision trace gas analysis by FT-IR spectroscopy. 2. The 13C/12C isotope ratio of CO2. Anal. Chem. 72:216 –221. 28. Shinagawa E, Matsushita K, Adachi O. 1984. Gluconate dehydrogenase, 2-keto-gluconate yielding, from Gluconobacter dioxyacetonicus: purification and characterization. Agric. Biol. Chem. 48:1517–1522. 29. Matsushita K, Fujii Y, Ano Y, Toyama H, Shinjoh M, Tomiyama N, Miyazaki T, Sugisawa T, Hoshino T, Adachi O. 2003. 5-Keto-Dgluconate production is catalyzed by a quinoprotein glycerol dehydrogenase, major polyol dehydrogenase, in Gluconobacter species. Appl. Environ. Microbiol. 69:1959 –1966. 30. Miyazaki T, Tomiyama N, Shinjoh M, Hoshino T. 2002. Molecular cloning and functional expression of D-sorbitol dehydrogenase from Gluconobacter suboxydans IF03255, which requires pyrroloquinoline quinone and hydrophobic protein SldB for activity development in E. coli. Biosci. Biotechnol. Biochem. 66:262–270.
© Copyright 2026 Paperzz