Comparison of quenching and extraction methodologies for metabolome analysis of Lactobacillus plantarum
© Faijes et al; licensee BioMed Central Ltd. 2007
Received: 11 May 2007
Accepted: 20 August 2007
Published: 20 August 2007
A reliable quenching and metabolite extraction method has been developed for Lactobacillus plantarum. The energy charge value was used as a critical indicator for fixation of metabolism.
Four different aqueous quenching solutions, all containing 60% of methanol, were compared for their efficiency. Only the solutions containing either 70 mM HEPES or 0.85% (w/v) ammonium carbonate (pH 5.5) caused less than 10% cell leakage and the energy charge of the quenched cells was high, indicating rapid inactivation of the metabolism.
The efficiency of extraction of intracellular metabolites from cell cultures depends on the extraction methods, and is expected to vary between micro-organisms. For L. plantarum, we have compared five different extraction methodologies based on (i) cold methanol, (ii) perchloric acid, (iii) boiling ethanol, (iv) chloroform/methanol (1:1) and (v) chloroform/water (1:1). Quantification of representative intracellular metabolites showed that the best extraction efficiencies were achieved with cold methanol, boiling ethanol and perchloric acid.
The ammonium carbonate solution was selected as the most suitable quenching buffer for metabolomics studies in L. plantarum because (i) leakage is minimal, (ii) the energy charge indicates good fixation of metabolism, and (iii) all components are easily removed during freeze-drying. A modified procedure based on cold methanol extraction combined good extractability with mild extraction conditions and high enzymatic inactivation. These features make the combination of these quenching and extraction protocols very suitable for metabolomics studies with L. plantarum.
The metabolome of a micro-organism is a reflection of its metabolic state and therefore contains information about the biological processes that are active under particular growth conditions. The in vivo determination of metabolite concentrations in cell cultures is possible using NMR, but the application is limited to specific groups of metabolites (i.e. phosphorous containing metabolites) or requires the use of stable isotope labelled substrates [1–6]. The major limitation of NMR analysis is the relatively low sensitivity.
When metabolites are analysed in in vitro samples, it is essential that the sample reflects the biological status of interest. Representative samples for metabolome analysis can only be taken when inactivation of the metabolism is rapid compared to the metabolic reaction rates. For growing microorganisms, the turnover of intracellular metabolites can be extremely fast. Cytosolic glucose in Saccharomyces cerevisiae is converted at a rate of approximately 1 mM s-1 , while ATP and ADP turnover rates are in the range of 1.5 to 2.0 mM s-1 . Consequently, instantaneous fixation of the metabolism during sampling is essential.
Instantaneous inactivation of metabolism is often achieved by rapidly decreasing the culture temperature to values far below 0°C. When separation of intra- and extracellular metabolites is needed, it is important that cells retain their integrity. Bolten et al.  clearly demonstrated for a range of different micro-organisms that methanol quenching with subsequent separation of cells and supernatant causes severe leakage of metabolites and consequently underestimation of the intracellular levels.
Quenching of the culture in an aqueous methanol solution at temperatures of -40°C or -50°C has become a standard procedure . It is widely used for Escherichia coli and S. cerevisiae [7, 10–13]. However, it has never been demonstrated that the metabolism of the microorganisms was inactivated sufficiently fast. Instead, the assumption was made that the metabolism was adequately fixed due the use of rapid sampling techniques or the presence of intermediates of glycolysis in the sample [7, 10–13]. In this study, we applied the energy charge parameter (EC) as an indicator to determine the inactivation of cell metabolism. This parameter describes the relationship between ATP, ADP and AMP in the cell, and therefore indicates the energy status of a biological system . Energy charge values between 0.8–0.9 have been reported for growing cells of, for example, Bacillus subtilis, S. cerevisiae or Lactococcus lactis [15–18]. This value drops below 0.18 within one minute after the removal of the growth substrate . When the energy charge value was calculated from literature data, results are controversial. The standard procedure using cold aqueous methanol solution with S. cerevisiae  resulted in cells in which the amount of adenylated nucleotides corresponded to an energy charge value below 0.2, indicating that the cells were energetically starving and did not represent the growing cells of the cultures. Besides, this methodology has also been used to quench the metabolism of E. coli , which resulted in an energy charge value in the same range. These studies show that the metabolite profiles obtained with these methods do not reflect the metabolome of growing cells.
After quenching and harvesting microbial cell cultures, the intracellular metabolites need to be extracted from the cell pellet. Ideally, the method should extract all metabolites in a non-selective and reproducible way and should inhibit all chemical and enzymatic conversions. Different extraction procedures have been described, but none of them meets all of these criteria. Most extraction methods are designed for specific classes of metabolites, and often introduce harsh conditions like extreme pH values that lead to degradation of certain metabolites [7, 19, 20]. Alternatives are neutral extraction agents like chloroform , boiling ethanol or methanol [11, 19, 21]. However, low polarity and solubility of metabolites in chloroform and side-reactions or loss of metabolites due to high temperature are intrinsic disadvantages of these extraction agents . Ideally, an efficient extraction method should be applicable for a variety of different micro-organisms, but the susceptibility to lytic conditions is known to differ between species.
Quenching and extraction procedures need to be validated for each microorganism of interest. In this study, we tested different quenching and extraction procedures for their suitability for Lactobacillus plantarum, and determined the energy charge to demonstrate rapid inactivation of the metabolism. L. plantarum is a Gram-positive bacterium that occurs in a large variety of ecological niches, including the human gastrointestinal tract, in which it may confer various health benefits for the consumer upon ingestion . The genome sequence of L. plantarum WCFS1 has been published , and the strain is currently being subjected to functional genomics research [25–28].
Results and Discussion
Quenching of metabolism
To develop a method for representative sampling of the intracellular metabolite pool of a growing culture of L. plantarum, different quenching solutions, applied at -40°C, were evaluated for two requirements: (i) the ability to both retain the integrity of cell envelope and (ii) the immediate inactivation of metabolism.
Four different quenching solutions were used in this study. The first one is 60% MeOH, which was used for S. cerevisiae and does not contain any disturbing components that could interfere with posterior metabolite analyses [7, 11]. The absence of cell lysis with this solution was proven for S. cerevisiae. However, some microbial species show lysis with this procedure, as was demonstrated for L. lactis  and Corynebacterium glutamicum . The second is a solution of 60% MeOH and 70 mM HEPES. This quenching solution was used for E. coli  and transcriptome analysis of L. plantarum . The third quenching solution is a mixture of 60% MeOH and 0.85% (w/v) NaCl and the fourth contains 60% MeOH and 0.85% (w/v) ammonium carbonate (AC) (pH 5.5). The latter two are new formulations which should both avoid an osmotic shock during quenching without the addition of compounds disturbing post-extraction analysis. The addition of ammonium carbonate has an additional advantage that it is easily removed during freeze drying by evaporation. Since chromatographic separation coupled to mass spectrometry detection is currently the most versatile and suitable analytical method for metabolome analyses [10, 11, 15, 32], the quenching solution with ammonium carbonate might be very appropriate since it avoids the osmotic shock without introducing the typical undesirable ion effects in mass spectrometry.
ATP leakage (%) of different samples from different cultures.
Samples from same culture
Samples from different cultures
2.5 ± 0.9
12.5 ± 0.5
4.4 ± 1.5
ATP leakage (%) with four different quenching procedures.
Chemostat culture (D = 0.06 h-1)
1 st washed
The different quenching solutions were also applied on chemostat cultures (Table 2). The total ATP loss in the quenching and washing steps due to cell lysis was less than 10% when MeOH/HEPES or MeOH/AC were used. Again the amount of ATP leakage was higher when the culture was quenched with MeOH/NaCl.
These results show that the degree of lysis of L. plantarum during quenching depends on the quenching solution that is being used. Ionic strength or pH effects are likely to affect cell lysis, which is below 10% only with MeOH/HEPES or MeOH/AC as quenching solutions.
Adenine nucleotide concentrations and energy charges in cell extracts of a chemostat grown culture of Lactobacillus plantarum.
Extraction of metabolites
An ideal extraction agent should extract as many intracellular metabolites as possible with minimal degradation and no enzymatic, chemical or physical modification of the targeted metabolites. However, Mashego and co-workers.  concluded that the ambitious goal of quantitative coverage of the cellular metabolome requires development of specific individualized extraction protocols targeting various classes of metabolites. L. plantarum cells have been extracted using perchloric acid for sugar analyses . Jensen and co-workers  applied chloroform extraction for Lactococcus lacti s. To the best of our knowledge, no studies comparing different extraction methodologies tailored for L. plantarum have been published. We have tested five different extraction methods for their efficiency on L. plantarum cultures. The methods were derived from the procedures described for E. coli .
The extraction methods that were applied on L. plantarum involve permeabilisation by cold methanol, acid treatment (perchloric acid), high-temperature extraction with ethanol and lysis with chloroform/methanol and chloroform/water. The extraction efficiency of each method was determined by measuring the concentrations of ATP, NAD+, and G-6P as representatives of different groups of metabolites with different chemical properties, and a high sensitivity to enzymatic conversions.
Intracellular concentrations of ATP, NAD+ and G-6P in L. plantarum cells that were extracted with different methods.
0.05 ± 0.01
8.4 ± 0.6
10.2 ± 0.8
1.07 ± 0.19
13.9 ± 1.2
13.2 ± 1.1
1.15 ± 0.07
14.7 ± 0.9
16.4 ± 0.6
0.49 ± 0.08
13.9 ± 0.4
15.2 ± 0.6
0.15 ± 0.02
8.6 ± 0.9
11.4 ± 0.3
Modified Cold MeOH
1.53 ± 0.15
11.8 ± 0.4
10.5 ± 0.7
1.05 ± 0.01
11.5 ± 2.2
11.0 ± 1.3
1.38 ± 0.34
9.0 ± 0.1
9.4 ± 1.0
During the latter procedure, the cells are first resuspended in cold water before the addition of the cold (absolute) methanol. In this period, the enzymes are not yet inactivated, which might explain the relatively low concentrations of the 3 metabolites. Therefore, a new extraction procedure for the cold methanol treatment was designed in which the L. plantarum cell pellet was directly resuspended in absolute cold methanol (-80°C) instead of first using cold water. This adjusted method was compared with the hot ethanol and perchloric acid method using a L. plantarum batch culture. As presented in Table 4.B, the metabolite recovery with the cold methanol procedure was improved and was similar to the perchloric acid and hot ethanol extractions. This modification of the cold methanol procedure was crucial for obtaining high retention of the metabolites in the sample fluid. Due to its high extraction efficiency and simplicity, this modified cold methanol procedure was selected as the preferred method for the extraction of intracellular metabolites from L. plantarum.
Recovery of adenine nucleotides after spiking extracts with a known amount of ATP.
Sample + ATP addition (nmol)
The metabolism of L. plantarum cells is quenched efficiently with cold MeOH 60% containing 70 mM HEPES (pH 5.5) or cold MeOH 60% with 0.85% ammonium carbonate (pH 5.5). These procedures result in less than 10% cell lysis. The energy charge value was demonstrated to be a useful indicator for the rate of inactivation of the metabolism of the cell. In contrast to MEOH/HEPES, the new quenching solution MeOH/AC offers the advantage that it will not disturb further metabolite analysis because all components are being removed from the sample during freeze-drying. This study has also demonstrated that the modified cold methanol extraction methodology yields the highest extraction efficiency of the 3 metabolites of choice. Direct extraction of the cell pellet with cold methanol was found to be critical for the extraction efficiency of the method. Moreover, the method does not expose the samples to high temperatures or extreme pH values, and the subsequent metabolite analysis is not hampered by the introduction of extra salts. The only drawback of the method is that enzymatic activity is probably not completely eliminated. Therefore, factors like handling time and temperature should be carefully controlled during the procedure. Our study confirms one of the conclusions drawn by Mashego and co-workers  that it is essential to develop tailor-made quenching and extraction methods for each microbial species of interest.
Microorganism and culture conditions
L. plantarum WCFS1 was grown in a 1.7 L bioreactor with a working volume of 1 L (Applikon, The Netherlands) on Chemically Defined Medium (CDM)  supplemented with glucose as substrate. The culture was stirred with a mechanical stirrer at 200 rpm and kept anoxic by flushing the headspace with nitrogen gas. The temperature was kept at 37°C and the pH was maintained at 5.5 by the automatic addition of 2 M NaOH. Continuous cultivations were performed on CDM medium supplemented with 100 mM of glucose at a dilution rate of 0.06 h-1. Steady state was assumed after 5 volume changes.
Quenching and extraction procedures
The metabolism of a culture sample was rapidly inactivated by mixing 1 volume of culture sample with 3 volumes of different quenching solutions at -40°C. Four different quenching solutions were used and compared that contained either 60% MeOH, 60% MeOH and 70 mM HEPES (pH 5.5), 60% MeOH and 0.85% (w/v) NaCl, or 60% MeOH and 0.85% (w/v) ammonium carbonate (pH 5.5). After quenching, the cells were kept at -40°C for 30 min, centrifuged (5 min, 3000 g) with a pre-cooled rotor of -40°C and washed with the same volume of quenching buffer. During the whole procedure, the temperature of the samples was kept below -10°C. The supernatants were diluted with the same volume of cold water, freeze-dried, and stored at -80°C until further analysis.
Different methods for the extraction of metabolites from the cell pellets were used and compared based on the procedures described by Maharjan and Ferenci :
- Cold methanol extraction. In the initial experiments, the cell pellet was resuspended in 0.25 mL of ice cold water, after which 0.25 mL of cold methanol (-80°C) was immediately added to the suspension. After vigorously mixing, the suspension was frozen in liquid nitrogen and stored at -80°C for 1 night. In the optimised protocol, the cell pellet was directly resuspended in 1 mL of cold absolute methanol and frozen. Next, the sample was thawed on ice and immediately centrifuged (10000 x g) for 2 min at maximum speed at 4°C. The supernatant was subsequently transferred to a new tube and the extracted pellet was re-extracted twice with 0.5 mL of cold methanol and twice with 0.5 mL of cold water. All extracts were combined and diluted with an equal volume of cold water, after which the solution was frozen in liquid nitrogen, freeze-dried, and stored at -80°C until further analysis.
- Perchloric acid extraction. A 1 mL aliquot of 35% of perchloric acid (-20°C) was added to the cell pellet. After vigorously mixing, the sample was frozen at -80°C and stored overnight. After thawing and centrifugation, the pellet was extracted twice with 0.5 mL of water, and the supernatants were pooled. The supernatant was neutralized by the addition of 100 μL of 2 M of phosphate buffer (pH 7.0) and addition of 5 M KOH. The precipitated KClO4 salt were removed by centrifugation and washed with cold water. The supernatants were frozen in liquid nitrogen, freeze-dried, and stored at -80°C until further analysis.
- Chloroform/water extraction. The pellet was resuspended in 0.25 mL of ice-cold water after which, 1 mL of chloroform (-80°C) was added to the suspension. After vigorously mixing, the sample was incubated at -20°C for 1 day and vortexed for 1 min every 2–3 h. Then, the suspension was centrifuged, and the water phase was transferred to a new tube. The organic solvent phase was washed twice with 0.5 mL of water, after which all water layers were combined and centrifuged to remove the cell debris, frozen in liquid nitrogen, freeze-dried, and stored at -80°C until further analysis.
- Chloroform/methanol extraction. The pellet was resuspended in 0.25 mL of methanol, after which 1 mL of chloroform (-80°C) was immediately added to the suspension. After vigorously mixing, the sample was incubated at -20°C for 1 day and vortexed several times during this period to ensure good interaction between the chloroform and water phase. Then, the suspension was centrifuged, and the pellet was washed with 0.5 mL of methanol. The supernatants were combined and the chloroform was eliminated from the sample by flushing with nitrogen. Finally, 2 mL of cold water was added, after which the sample was frozen in liquid nitrogen, freeze-dried, and stored at -80°C until further analysis.
- Hot ethanol extraction. In the initial experiments, the cell pellet was resuspended in 0.25 mL icecold water, after which 500 μL of boiling ethanol was immediately added to the suspension. In the optimised protocol, 500 μL of boiling ethanol was directly added to the cell pellet. Next, the cell suspension was placed into a hot water bath (90°C) for 10 min, during which the suspension was briefly vortexed twice. After this, the sample was cooled on ice for 3 min and stored at -80°C for 1 night. Finally, the sample was centrifuged and the cell pellet was washed twice with 0.5 mL of water. The supernatants were combined and an equal volume of water was added, after which the sample was frozen.
The freeze-dried samples were resuspended in 1–2 mL of water and centrifuged (2 min, maximum speed, 4°C), after which the supernatants were neutralized with KOH, and analyzed for metabolites. ATP was directly determined from the luminescence produced in the luciferin-luciferase reaction using the ATP bioluminescence assay kit CLS II (Roche Applied Science, Germany). ADP and AMP concentrations were determined in 100 mM of triethanolamine buffer, pH 7.8 with 30 mM MgSO4 and 200 mM KCl based on the procedures described by Bergmeyer et al. . For the ADP analysis, 1.5 mM of phosphoenolpyruvate and 10 μg pyruvate kinase were added. The reaction mixture was incubated for 3 h at 30°C, after which the total amount of ATP was determined. For the AMP analysis, 1.5 mM of phosphoenolpyruvate, 10 μg of pyruvate kinase, and 2.6 μg of myokinase were added to the assay mixture. The mixture was incubated for 3 h at 30°C, after which the total amount of ATP was determined. The amounts of ADP and AMP in the sample were calculated from the increase in ATP concentration.
NAD+ and glucose-6-phosphate (G-6P) were measured using fluorimetric analysis described by Garrigues et al. . Emission was measured at 456 nm (slit 5 nm) after excitation at 350 nm (slit 2.5 nm) with the Safire fluorescence multiplate spectrophometer (Tecan, Switzerland). NAD+ was determined in 250 mM of pyrophosphate buffer (pH 8.8) containing 12 g/L of semicarbazide, 5% (v/v) of absolute ethanol, and 58 μg of alcohol dehydrogenase. G-6P was measured in 100 mM of triethanolamine buffer (pH 7.6) supplemented with 3 mM MgSO4 and 0.8 mM EDTA, 1 mM NAD+ and 2 U of G-6P dehydrogenase.
M.F. acknowledges the Institut Químic de Sarrià for providing a post-doctoral fellowship.
- Wisselink HW, Mars AE, van der Meer P, Eggink G, Hugenholtz J: Metabolic engineering of mannitol production in Lactococcus lactis: influence of the overexpression of mannitol 1-phosphate dehydrogenase in different genetic backgrounds. Appl Environ Microbiol. 2004, 70: 4286-4292. 10.1128/AEM.70.7.4286-4292.2004.View ArticleGoogle Scholar
- Lemos PC, Serafim LS, Santos MM, Reis MAM, Santos H: Metabolic pathway for propionate utilization by phosphorus-accumulating organisms in activated sludge: 13C labeling and in vivo nuclear magnetic resonance. Appl Environ Microbiol. 2003, 69: 241-251. 10.1128/AEM.69.1.241-251.2003.View ArticleGoogle Scholar
- Noguchi Y, Shimba N, Kawahara Y, Suzuki E, Sugimoto S: 31P NMR studies of energy metabolism in xanthosine-5'-monophosphate overproducing Corynebacterium ammoniagenes. Eur J Biochem. 2003, 270: 2622-2626. 10.1046/j.1432-1033.2003.03635.x.View ArticleGoogle Scholar
- Hugenholtz J, Looijesteijn E, Starrenburg M, Dijkema C: Analysis of sugar metabolism in an EPS producing Lactococcus lactis by 31P NMR. J Biotechnol. 2000, 77: 17-23. 10.1016/S0168-1656(99)00204-7.View ArticleGoogle Scholar
- Rager MN, Binet MRB, Ionescu G, Bouvet OMM: 31P-NMR and 13C-NMR studies of mannose metabolism in Plesiomonas shigelloides. Eur J Biochem. 2000, 267: 5136-5141. 10.1046/j.1432-1327.2000.01583.x.View ArticleGoogle Scholar
- Weuster-Botz D, de Graaf AA: Reaction engineering methods to study intracellular metabolite concentrations. Adv Biochem Eng Biotechnol. 1996, 54: 75-108.Google Scholar
- de Koning W, van Dam K: A method for the determination of changes of glycolytic metabolites in yeast on a subsecond time scale using extraction at neutral pH. Anal Biochem. 1992, 204: 118-123. 10.1016/0003-2697(92)90149-2.View ArticleGoogle Scholar
- Theobald U, Mailinger W, Baltes M, Rizzi M, Reuss M: In vivo analysis of metabolic dynamics in Saccharomyces cerevisiae: I. Experimental observations. Biotechnol Bioeng. 1997, 55: 305-316. 10.1002/(SICI)1097-0290(19970720)55:2<305::AID-BIT8>3.0.CO;2-M.View ArticleGoogle Scholar
- Bolten CJ, Kiefer P, Letisse F, Portais JC, Wittmann C: Sampling for metabolome analysis of microorganisms. Anal Chem. 2007, 79: 3843-3849. 10.1021/ac0623888.View ArticleGoogle Scholar
- Castrillo JI, Hayes A, Mohmmed S, Gaskell SJ, Oliver SG: An optimized protocol for metabolome analysis in yeast using direct diffusion electrospray mass spectrometry. Phytochemistry. 2003, 62: 929-937. 10.1016/S0031-9422(02)00713-6.View ArticleGoogle Scholar
- van Dam JC, Eman MR, Frank J, Lange HC, van Dedem GWK, Heijnen JJ: Analysis of glycolytic intermediates in Saccharomyces cerevisiae using anion exchange chromatography and electrospray ionisation with tandem mass spectrometric detection. Anal Chim Acta. 2002, 460: 209-218. 10.1016/S0003-2670(02)00240-4.View ArticleGoogle Scholar
- Buchholz A, Takors R, Wandrey C: Quantification of intracellular metabolite in Escherichia coli K12 using liquid chromatographic-electrospray ionization tandem mass spectrometric techniques. Anal Biochem. 2001, 295: 129-137. 10.1006/abio.2001.5183.View ArticleGoogle Scholar
- Schaefer U, Boos W, Takors R, Weuster-Botz D: Automated sampling device for monitoring intracellular metabolites dynamics. Anal Biochem. 1999, 270: 88-96. 10.1006/abio.1999.4048.View ArticleGoogle Scholar
- Atkinson DE: The energy charge of the adenylate pool as a regulatory parameter: interaction with feedback modifiers. Biochemistry. 1968, 7: 4029-4034. 10.1021/bi00851a033.View ArticleGoogle Scholar
- Coulier L, Bas R, Jespersen S, Verheij E, van der Werf MJ, Hankemeier T: Simultaneous quantitative analysis of metabolites using ion-pair liquid chromatography-electrospray ionization mass spectrometry. Anal Biochem. 2006, 78 (18): 6573-6582.Google Scholar
- Mashego MR, Jansen MLA, Vinke JL, van Gulik WM, Heijnen JJ: Changes in the metabolome of Saccharomyces cerevisiae associated with evolution in aerobic glucose-limited chemostat. Yeast Res. 2005, 5: 419-430. 10.1016/j.femsyr.2004.11.008.View ArticleGoogle Scholar
- Poolman B, Smid EJ, Veldkamp H, Konings WN: Bioenergetic consequences of lactose starvation for continuously cultured Streptococcus cremoris. J Bacteriol. 1987, 169: 1460-1468.Google Scholar
- Talwalkar R, Lester RL: The response of diphosphoinositide and triphosphoinositide to perturbations of the adenlylate energy charge in cells of Saccharomyces cerevisiae. Biochim Biophys Acta. 1973, 306: 412-421.View ArticleGoogle Scholar
- Gonzalez B, François J, Renaud M: A rapid and reliable method for metabolite extraction in yeast using boiling buffered ethanol. Yeast. 1997, 13: 1347-1356. 10.1002/(SICI)1097-0061(199711)13:14<1347::AID-YEA176>3.0.CO;2-O.View ArticleGoogle Scholar
- Shryock JC, Rubio R, Berne RM: Extraction of adenine-nucleotides from cultured endothelial-cells. Anal Biochem. 1986, 159: 73-81. 10.1016/0003-2697(86)90309-X.View ArticleGoogle Scholar
- Lange HC, Eman M, van Zuijlen G, Visser D, van Dam JC, Frank J, Teixeira de Mattos MJ, Heijnen JJ: Improved rapid sampling for in vivo kinetic of intracellular metabolites in Saccharomyces cerevisiae. Biotechnol Bioeng. 2001, 75: 406-415. 10.1002/bit.10048.View ArticleGoogle Scholar
- Maharjan RP, Ferenci T: Global metabolite analysis: the influence of extraction methodology on metabolome profiles of Escherichia coli. Anal Biochem. 2003, 313: 145-154. 10.1016/S0003-2697(02)00536-5.View ArticleGoogle Scholar
- Wullt M, Hagslatt ML, Odenholt I: Lactobacillus plantarum 299v for the treatment of recurrent Clostridium difficile-associated diarrhoea: a double-blind, placebo-controlled trial. Scand J Infect Dis. 2003, 35: 365-367. 10.1080/00365540310010985.View ArticleGoogle Scholar
- Kleerebezem M, Boekhorst J, van Kranenburg R, Molenaar D, Kuipers OP, Leer R, Tarchini R, Peters SA, Sandbrink HM, Fiers MW, Stiekema W, Lankhorst RM, Bron PA, Hoffer SM, Nierop Groot M, Kerkhoven R, de Vries M, Ursing B, de Vos WM, Siezen RJ: Complete genome sequence of Lactobacillus plantarum WCFS1. Proc Natl Acad Sci USA. 2003, 100: 1990-1995. 10.1073/pnas.0337704100.View ArticleGoogle Scholar
- Smid EJ, Molenaar D, Hugenholtz J, de Vos WM, Teusink B: Functional ingredient production: application of global metabolic models. Curr Opin Biotechnol. 2005, 16: 190-197. 10.1016/j.copbio.2005.03.001.View ArticleGoogle Scholar
- Smid EJ, van Enckevort FJH, Wegkamp A, Boekhorst J, Molenaar D, Hugenholtz J, Siezen RJ, Teusink B: Metabolic models for rational improvement of lactic acid bacteria as cell factories. J Appl Microbiol. 2005, 98: 1326-1331. 10.1111/j.1365-2672.2005.02652.x.View ArticleGoogle Scholar
- Teusink B, Smid EJ: Modelling strategies for the industrial exploitation of lactic acid bacteria. Nature Microbiol Rev. 2006, 4: 46-56. 10.1038/nrmicro1319.View ArticleGoogle Scholar
- Teusink B, Wiersma A, Molenaar D, Francke C, de Vos WM, Siezen RJ, Smid EJ: Analysis of growth of Lactobacillus plantarum WCFS1 on a complex medium using a genome-scale metabolic model. J Biol Chem. 2006, 281: 40041-40048. 10.1074/jbc.M606263200.View ArticleGoogle Scholar
- Jensen NBS, Jokumsen KV, Villadsen J: Determination of the phosphorylated sugars of the Embden-Meyerhoff-Parnas pathway in Lactococcus lactis using a fast sampling technique and solid phase extraction. Biotechnol Bioeng. 1999, 63: 356-362. 10.1002/(SICI)1097-0290(19990505)63:3<356::AID-BIT12>3.0.CO;2-1.View ArticleGoogle Scholar
- Wittmann C, Krömer JO, Kiefer P, Binz T, Heinzle E: Impact of the cold shock phenomenon on quantification of intracellular metabolites in bacteria. Anal Biochem. 2004, 327: 135-139. 10.1016/j.ab.2004.01.002.View ArticleGoogle Scholar
- Pieterse B, Jellema RH, van de Werf MJ: Quenching of microbial samples for increased reliability of microarray data. J Microbiol Methods. 2006, 64: 207-216. 10.1016/j.mimet.2005.04.035.View ArticleGoogle Scholar
- Koek MM, Muilwijk B, van der Werf MJ, Hankemeier T: Microbial metabolomics with gas chromatography/mass spectrometry. Anal Chem. 2006, 78: 1272-1281. 10.1021/ac051683+.View ArticleGoogle Scholar
- Mashego MR, Rumbold K, De Mey M, Vandamme E, Soetaert W, Heijnen JJ: Microbial metabolomics: past, present and future methodologies. Biotechnol Lett. 2007, 29: 1-16. 10.1007/s10529-006-9218-0.View ArticleGoogle Scholar
- Otto R, ten Brink B, Veldkamp H, Konings WN: The relation between growth rate and electrochemical proton gradient of Streptococcus cremoris. FEMS Microbiol Lett. 1983, 16: 69-74. 10.1111/j.1574-6968.1983.tb00261.x.View ArticleGoogle Scholar
- Bergmeyer HC, Bergmeyer J, Grass M: Methods in Enzymatic Analysis. 1985, Verlag-Chimie, Weinheim, 3Google Scholar
- Garrigues C, Loubiere P, Lindley ND, Cocaign-Bousquet M: Control of the shift from homolactic acid to mixed-acid fermentation in Lactococcus lactis: predominant role of the NADH/NAD+ ratio. J Bacteriol. 1997, 179: 5282-5287.Google Scholar
- Pramanik J, Keasling JD: Stoichiometric model of Escherichia coli metabolism: incorporation of growth-rate dependent biomass composition and mechanistic energy requirements. Biotechnol Bioeng. 1997, 56: 398-421. 10.1002/(SICI)1097-0290(19971120)56:4<398::AID-BIT6>3.0.CO;2-J.View ArticleGoogle Scholar
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