![]() | ![]() |
Formats:
|
||||||||||||||||||
Copyright © 2005 Wang et al; licensee BioMed Central Ltd. Proteome analysis of a recombinant Bacillus megaterium strain during heterologous production of a glucosyltransferase 1TU-BCE, German Research Centre for Biotechnology, Mascheroder Weg 1, D-38124 Braunschweig, Germany 2Department of Structural Biology, German Research Centre for Biotechnology, Mascheroder Weg 1, D-38124 Braunschweig, Germany 3Institute of Microbiology, Technical University Braunschweig, Spielmannstrasse 7, D-38106 Braunschweig, Germany Corresponding author.Wei Wang: wwa/at/gbf.de; Rajan Hollmann: rho/at/gbf.de; Tobias Fürch: tfu04/at/gbf.de; Manfred Nimtz: mni/at/gbf.de; Marco Malten: m.malten/at/tu-bs.de; Dieter Jahn: d.jahn/at/tu-bs.de; Wolf-Dieter Deckwer: wdd/at/gbf.de Received February 10, 2005; Accepted May 31, 2005. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. This article has been cited by other articles in PMC.Abstract A recombinant B. megaterium strain was used for the heterologous production of a glucosyltransferase (dextransucrase). To better understand the physiological and metabolic responses of the host cell to cultivation and induction conditions, proteomic analysis was carried out by combined use of two-dimensional gel electrophoresis and mass spectrometry (2-DE/MS) for protein separation and identification. 2-DE method was optimized for the separation of intracellular proteins. Since the genome of B. megaterium is not yet available, peptide sequencing using peptide fragment information obtained from nanoelectrospray ionization quadrupole-time-of-flight tandem mass spectrometry (ESI-QqTOF MS/MS) was applied for protein identification. 167 protein spots were identified as 149 individual proteins, including most enzymes involved in the central carbon metabolic pathways and many enzymes related to amino acid synthesis and protein synthesis. Based on the results a 2-DE reference map and a corresponding protein database were constructed for further proteomic approaches on B. megaterium. For the first time it became possible to perform comparative proteomic analysis on B. megaterium in a batch culture grown on glucose with xylose induction for dextrasucrase production. No significant differences were observed in the expression changes of enzymes of the glycolysis and TCA cycle, indicating that dextransucrase production, which amounted to only 2 % of the entire protein production, did not impose notable metabolic or energetic burdens on the central carbon metabolic pathway of the cells. However, a short-term up-regulation of aspartate aminotransferase, an enzyme closely related to dextransucrase production, in the induced culture demonstrated the feasibility to use 2-DE method for monitoring dextransucrase production. It was also observed that under the cultivation conditions used in this study B. megaterium tended to channel acetyl-CoA into pathways of polyhydroxybutyrate production. No expression increases were found with cytosolic chaperones such as GroEL and DnaK during dextransucrase production and secretion, whereas a strong up-regulation of the oligopeptide-binding protein OppA was observed in correlation with an increased secretion of dextransucrase into the culture medium. Background The Gram-positive bacterium B. megaterium has been proven as a promising host for the production of diverse heterologous proteins and vitamins due to its intrinsic favourable properties such as low protease activity and high secretion capability [1]. Using recombinant B. megaterium strains for the heterologous production of a glucosyltransferase, namely dextransucrase from Leuconostoc mesenteroides NRRL B-512F, has been under investigation and improved production and secretion of dextransucrase was achieved compared with the recombinant production of dextransucrase in E. coli [2]. Dextransucrase can be used to catalyze polymerization reactions leading to the production of dextran. Dextran is widely used as a blood plasma substitute or as a basic chromatographic support material. To optimize the cell cultivation and the recombinant protein production processes, it is important to understand the physiological and metabolic responses of the host cell to the cultivation and induction conditions. To this end we carried out proteomic analysis with a recombinant B. megaterium strain. Unlike Bacillus subtilis, which is the best characterized Gram-positive bacterium with its genome already completely sequenced in 1997 [3] and comprehensive proteomic analysis has been since accomplished [4-6], the genome of B. megaterium has not yet been sequenced and to our knowledge no information on proteomic analysis of B. megaterium has been published. In this work for the first time proteomic analysis of a recombinant B. megaterium strain based on two-dimensional gel electrophoresis in combination with mass spectrometric techniques (2-DE/MS) for protein separation and characterization was carried out. Comparative proteomic analysis was performed to study cellular protein expression changes related to defined cultivation and induction conditions for the production of recombinant dextransucrase by the recombinant B. megaterium strain. Results and discussion 1. Proteome mapping of the strain B. megaterium MS941dsrS by 2-DE/MS Methods used for the proteomic mapping of B. megaterium are the characterization of protein expression changes by 2-DE and the identification of proteins of interest by MS. This is aimed at establishing a functional metabolic network of B. megaterium, especially those involved in the central carbon metabolism, amino acid biosynthesis and protein biosynthesis, as well as the identification of metabolic pathways and cellular processes closely related to the production and secretion of the recombinant protein. Figure Figure11
1.1 Peptide mass fingerprinting with MALDI-TOF MS At present, the most straightforward and real high-throughput mass spectrometric method of protein identification is peptide mass fingerprinting. This approach of stringent matching of measured peptide masses with computer-generated masses relies, however, to a large degree on the availability of a completely sequenced genome of the investigated organism. Alternatively, if a protein of interest is not present in a database, peptide sequences deduced from tandem mass spectra can be employed for protein identification via sequence similarity searching. In this way a putative function can also be assigned to an unknown protein. Because of the rapid growth of completed genome sequences, it is becoming increasing possible to identify proteins of an unsequenced organism via sequence similarity searching, especially when sequences of organisms within the same kingdom or related species already exist in any of the public-accessible protein sequence databases [7-10]. In the case of B. megaterium its genome is not yet available. Up to now 76 protein sequences of B. megaterium can be found in the annotated protein database Swiss-Prot. However, only four of them are enzymes directly involved in the central carbon metabolic pathways, namely glyceraldehyde-3-phosphate dehydrogenase (GAP), 2,3-biphosphoglycerate-independent phosphoglycerate mutase (PGM), phosphoglycerate kinase (PGK) and triphosphate isomerase (TPI) for glycolysis. Another 215 protein sequences exist in the protein database TrEMBL, a computer-annotated supplement of Swiss-Prot http://www.expasy.org/sprot/. However, most of these proteins are hypothetical proteins and almost no enzymes of the central carbon metabolism or amino acid and protein biosynthesis are present. On the other hand, genome sequencing of several microorganisms from the genus Bacillus, i.e. B. subtilis [3], B. halodurans [11], Oceanobacillus iheyensis [12], B. anthracis [13], B. cereus [14] and recently B. licheniformis [15] have been finished. These Bacillus species show highly conserved orthologous genes, including those for central carbon metabolism and for amino acid and protein biosynthesis. In addition, as a model system of gram-positive bacteria the genome sequence of B. subtilis has been well annotated. Therefore, it is conceivable that the sequence information of these Bacilli can help the identification of unknown proteins of B. megaterium through sequence similarity searching. At first, about 200 relatively highly expressed protein spots excised from 2-D gels were subjected to in-gel tryptic digestion and MALDI-TOF-MS analysis, followed by cross-species peptide mass fingerprinting against the protein sequence databases NCBInr and SWISS-PROT/TrEMBL. Regardless whether or not a constraint on species of origin was imposed, only 30 protein spots could be identified with significant scoring as 10 B.megaterium own proteins and 8 proteins showing high similarities to homologous proteins of other Bacillus species. Among the B.megaterium proteins identified are the four enzymes GAP, PGM, PGK and TPI present in the Swiss-Prot database. 1.2 Peptide sequencing with ESI-QqTOF MS/MS The result indicates that the homology between B. megaterium and other Bacilli species with completed genome sequences are still not high enough for an unambiguous identification of most of the unknown proteins of B. megaterium only through peptide mass fingerprinting. Consequently, ESI-QqTOF MS/MS analysis was carried out to acquire additional peptide sequence information for protein identification via sequence similarity searching for homologous proteins. Among the available sequence similarity searching programs using peptide sequences produced by MS/MS analysis, MS BLAST has been developed to overcome specific limitations imposed by mass spectrometric data, such as the limited completeness and confidence of predicted sequences. It is targeted at matching of closely related short peptides typically obtained from, for example, ESI-QqTOF MS/MS analysis [7-10,16]. However, the success of MS BLAST identification still depends on the number and quality of sequenced peptides. In our study, two to four tandem mass spectra of peptide precursors were normally available for a protein of interest from ESI-QqTOF MS/MS measurements. To obtain peptide sequences of better quality and to improve the possibility of protein identification, performing manual sequencing was still necessary for the interpretation of most of the MS/MS spectra. Peptide sequences obtained were assembled into query strings and subjected to MS BLAST searching. The results are presented as high-scoring pairs (HSPs) which are defined as regions of high local sequence similarity between individual peptides in the query and a protein sequence from the database entry. Homologous proteins shown in a hit list were sorted by their total scores, which are the sum of the scores of high-scoring pairs for each protein, and categorized according to their statistic significance into three groups: positive hit, borderline hit and negative hit. In this work we set the criteria for a positive identification as follows: the candidate protein is generally the top hit protein and the score of its top-ranked HSP should be higher than the statistic threshold. In addition, the candidate protein is normally a homologous protein from an organism of the genus Bacillus. Figure Figure2A2A
About 300 relatively highly expressed protein spots were excised from 2-D gels and subjected to the ESI-QqTOF MS/MS analysis. 167 spot were identified as 149 individual proteins, because some proteins appeared as isoforms on the 2-D gels, namely as several spots having similar molecular weights (Mw) but different isoelectric points (pI). According to the categorization used in the KEGG PATHWAY database http://www.genome.jp/kegg/metabolism.html most identified proteins can be classified into the following functional categories based on their functions or, at least, putative functions assigned: 53 proteins of the carbohydrate metabolism, mainly enzymes for the central carbon metabolism, including nearly all enzymes involved in the glycolysis and tricarboxylic acid cycle (TCA cycle), 4 enzymes of the pentose phosphate pathways, as well as 12 enzymes related to pyruvate metabolism; 31 proteins related to amino acid biosynthesis and metabolism; 14 proteins associated with protein biosynthesis; 15 proteins for nucleotide metabolism and genetic information (DNA, RNA) processing; as well as proteins involved in energy metabolism (3), cellular processes (5), membrane transport (9), stress responses (14) and other pathways like metabolism of complex carbohydrates (1), biosynthesis of secondary metabolites (2) and metabolism of cofactors and vitamins (3). Only 8 proteins can not be assigned any functions or putative functions. The identified proteins are summarized in Table 1 (see additional file 1). This work represents the first effect of large scale 2-DE separation and quantification of intracellular proteins of B. megaterium combined with identification of many of these proteins by tandem mass spectrometric analysis. This enabled us to create a 2-DE reference map as highlighted in Figure Figure11
2. Batch culture of the B. megaterim strain MS941dsrS for recombinant dextransucrase production Our previous study on batch cultures of B. megaterium MS941dsrS revealed that an early xylose induction at OD578 of 0.3 and cultivation at pH 5.2 gave the best production and secretion of dextransucrase (data not published). Consequently, for proteomic analysis two batch cultures with B. megaterium MS941dsrS, one with xylose induction and the other one without xylose induction as control, were carried out under the same conditions. Conducting the control culture was aimed at distinguishing between protein expression changes resulting from recombinant dextransucrase production and those aroused from cell growth. As shown in Figure 4(A)
To determine the formation and secretion of dextransucrase in B. megaterium cell samples were taken from the induced culture shortly before xylose induction, then 1 h, 2 h, 3 h, 6 h and 9 h after the induction. Three protein fractions, namely secretion fraction, cell-associated soluble fraction and cell-associated insoluble fraction, were prepared according to the method described in the Materials and Methods section and separated on SDS-PAGE activity staining gels to obtain dextransucrase in the different fractions. The results are shown in Figure 4(B) 3. Comparative proteomic analysis of metabolism 3.1 Regulations of enzymes involved in the glycolysis and TCA cycle As depicted in Figure Figure55
The expression of the enzyme pyruvate dehydrogenase was an exception. As shown in Figure Figure6,6
3.2 Regulations of enzymes involved in dissipation of acetyl-CoA Contrary to the decreased expression of PDH, a notable up-regulation of acetyl-CoA acetyltransferase (MmgA), which converts acetyl-CoA to acetoacetyl-CoA, was observed in the early cell growth phase in both batch cultures (Figure (Figure6),6 It is interesting that the phosphate acetyltransferase (PTA) which channels acetyl-CoA through acetyl phosphate into acetate under aerobic conditions was also strongly down-regulated in accordance with the decreased expression of PDH (Figure (Figure6).6 3.3 Regulations of some enzymes involved in amino acid biosynthsis As shown in Figure Figure66 Aspartate aminotransferase (AspB) is the enzyme that catalyzes the conversion of oxaloacetate to aspartate. Aspatate can be further converted to other amino acids of the oxaloacetate family. As shown in Figure Figure6,6 The enhanced conversion of oxaloacetate to aspartate might be evidenced by the different expressions of the NAD-dependent malic enzyme MalS in the induced and non-induced cultures (Figure (Figure6).6 As was reported for B. subtilis [25,26] and B. clausii [27], malic enzymes form a "futile cycle" with pyruvate carboxylase (PycA) and malate dehydrogenase (MDH) (Figure (Figure3).3 3.4 Regulations of enzymes related to dextransucrase translocation It is often reported that microorganisms normally respond to the strong overproductions of recombinant proteins by increased expression levels of chaperones such as GroEL, DnaK and the trigger factor TIG [29-36]. However, from our proteomic analysis as shown in Figure Figure77
In addition, a chaperone-like property has been also suggested for the periplasmically located OppA of E. coli in addition to its function in transport by Richarme and Caldas [37]. They found that OppA interacts with unfolded and denaturated proteins to form stable complexes. It might bind a notable amount of unfolded proteins until permissive renaturation conditions are restored. Further the authors proposed that other binding proteins, including the substrate-binding lipoproteins of Gram-positive bacteria, should possess similar properties. Therefore, it would be of interest to further study the possible impact of OppA for the secretion of dextransucrase, so as to find out whether OppA is just an indicator of dextransucrase translocation and aggregation between the cytoplasmic membrane and the cell wall or it may act as an extracellular chaperone that can be exploited to help the passage of dextransucrase through the cell wall. Conclusion In this work a 2DE method and a protein reference map for the proteomic analysis of B. megaterium were established. Despite the missing of genome sequence 149 individual proteins were identified through public protein database supported homologue protein searching using peptide fragmentation information acquired from ESI-QqTOF MS/MS analysis. Out of them 35 proteins could be assigned to enzyme functions of the central carbon metabolism (glycolysis, pentose phosphate pathway, TCA cycle and pyruvate metabolism) and 31 to amino acid synthesis and metabolism, leading to the construction of a partial metabolic network which is useful for metabolic pathway analysis. During batch growth of B. megaterium on glucose expressions of glycolytic enzymes remained approximately constant, while most enzymes of the TCA cycle were up-regulated. The components of the PDH complex enzyme as well as phosphate acetyltransferase (PTA) were remarkably down-regulated, whereas some enzymes related to PHB synthesis were strongly up-regulated, indicating a metabolic discrepancy between glycolysis and TCA cycle of this B. megaterium strain and the channeling of acetyl-CoA into the biosynthesis of PHB as a carbon and energy storage source Except for a few cases the protein expression profiles of the non-induced and induced B. megaterium batch cultures, the latter producing additionally the heterologous protein dextransucrase, did not differ significantly. This indicates that protein expression of B. megaterium concerning the central carbon metabolism was predominantly governed by growth and little affected by the xylose induced generation of the heterologous gene product. Indeed, the mass of dextransucrase was estimated as only 2% of the entire protein produced. Only some enzymes of amino acid synthesis exhibited discrepancies between induced and non-induced cultures. Specifically, the aspartate aminotransferase (AspB) was up-regulated in the induced culture. This enzyme channels oxaloacetate into a large family of amino acids which is strong required (37%) in dextransucrase synthesis. Expression levels of cytosolic chaperones needed for posttranslational processing hardly changed, whereas the oligopeptide-binding protein (OppA) exhibited increased expression in the induced culture, suggesting that this protein may be involved in the translocation of the heterologous dextransucrase. Materials and methods Batch cultivation of B. megaterium for recombinant dextransucrase production The B. megaterium strain MS941 transformed with the plasmid pMM1520dsrS which carries the gene of a dextransucrase from Leuconostoc mesenteroides [38] was chosen as the candidate strain for the investigation on heterologous dextransucrase production. The medium used was developed for an optimal growth of the B. megaterium strain investigated in this study [39]. It contains per liter 33 g glucose monohydate, 5.0 g (NH4)2SO4, 2.2 g KH2PO4, 0.3 g MgSO4·7H2O, 0.5 g yeast extract, 2.0 mL trace element solution and 0.1 mL Sigma antifoam 204 per liter. The trace element solution contained 40 g MnCl2·4H2O, 53 g CaCl2·2H2O, 2.5 g FeSO4·7H2O, 2.5 g (NH4)6Mo7O24·4H2O and 2.5 g CoCl2· 6H2O. At first, shaking flasks containing 50 mL of the medium were inoculated with a glycerol stock of the B. megaterium strain MS941 carrying the plasmid pMM1520dsrS (B. megaterium MS941dsrS) and cultivated overnight at 37°C and 250 rpm. Upon reaching an OD578 of approximately 3, 10 mL culture were added to 990 mL batch medium in a bioreactor (Biostat B2) and batch culture was carried out at 37°C, pH 5.2, 500 rpm and aeration of 1 L air/min. Analysis of biomass, glucose and metabolites were carried out as described in detail by Hollmann and Deckwer (2004). Biomass as cell dry weight (CDW) was calculated from measured OD value according to a linear relationship between OD and CDW that was determined in our previous works (data not published). Production of recombinant dextransucrase was induced by adding xylose at a concentration of 0.5% w/v after the OD578 reached about 0.3. For comparative 2-DE analysis, another batch culture without xylose induction was carried out under the same conditions. For 2-DE analysis cell samples were taken from the xylose induced culture immediately before the induction (I0), then 1 h (I1), 6 h (I6) and 10 h (I10) after the induction. Similarly, after the OD578 reached about 0.3 the first cell sample (NI0) was taken from the non-induced culture. Further samples were then taken 1 h (NI1), 6 h (NI6) and 10 h (NI10) after the first sampling. Cells were immediately chilled in ice water after sampling, then centrifuged at 6500 rpm (Sorvall RT 6000B, DuPont) for 30 min at 4°C. Cell pellets were washed twice with phosphate-buffered saline (PBS) solution and stored at -80°C until use. For the detection of the production and secretion of dextransucrase in B. megaterium, samples taken from the induced culture were centrifuged at 4°C and 5000 rpm for 10 min to obtain cell-free supernatants and cell pellets. The supernatants were centrifuged again at 4°C and 13000 rpm for 10 min to obtain protein sediments which contained the secreted dextransucrase as the secretion fractions. The cell pellets were resuspended with a lysis buffer (100 mM Na3PO4, 5 mg/mL lysozyme, pH 6,5 with H3PO4) and incubated at 37°C for 30 min and centrifuged at at 4°C and 13000 rpm for 10 min to separate the supernatant as the cell-associated soluble fractions from the sediments, which were then resuspended in 8M urea and centrifuged again to collect the supernatant as the cell-associated insoluble fractions. All three fractions were subjected to the determination of the activities of dextransucrase according to an activity staining method described by Malten et al [2]. Briefly, proteins of the three fraction were separated with normal SDS-PAGE gels. DsrS which was still bound to the gels was renaturated and incubated with sucrose to catalyze the formation of dextran. The amount of formed dextran was set into relation to the catalytic activity of DsrS for the quantification of the activity. Extraction and separation of intracellular protein of B. megaterium by 2-D IEF/SDS-PAGE The 2-D IEF/SDS-PAGE gel electrophoresis (2-DE) method established in our laboratory for the proteomic analysis of different microorganisms [40] has been optimized for the separation of intracellular proteins of B. megaterium. To obtain raw protein extracts cell pellets were resuspended with a lysis buffer containing 7 M urea, 2 M thiourea, 4% (w/v) CHAPS, 1% (w/v) dithiothreitol (DTT), 0.8% (w/v) Pharmalyte™ pH 3–10, and 5 mM Pefabloc, and disrupted by ultrasonication in a ice bath for 5 × 60 s and 2 × 30 s with a 30 s interval between each ultrasonic cycle for better cooling effect. Insoluble materials were separated by centrifugation at 13,000 g for 30 min at 4°C. For an improved 2-DE separation of B. megaterium proteins, raw protein extracts should be further treated to diminish other interfering cell-intrinsic components. Different purification methods such as membrane dialysis using the Mini Dialysis Kits, 1 kDa cut-off (Amersham Biosciences), or precipitation with various organic solvents have been tested. A phenol precipitation with subsequent acetone extraction resulted in the best 2-DE separation performance. Briefly, raw protein extracts were extracted with a TE-buffer (10 mM EDTA, pH 7.4) saturated phenol by vigorous shaking and incubation. Proteins form a white interphase between the phenolic and the aqueous phases. After discarding the aqueous phase and washing the protein interphase twice with Milli-Q water, proteins were precipitated with cold acetone (-20°C), washed additionally two times with cold acetone, air-dried and stored at -80°C until use. Aliquots of protein pellets were diluted with an adequate volume of rehydration buffer (7 M urea, 2 M thiourea, 4% (w/v) CHAPS, 1% (w/v) DTT, 0.5% IPG buffer pH 4–7 and trace amount of bromphenol blue). The total protein concentration in the supernatant was determined by the Bradford method using the RotiQuant reagent (Bio-Rad) according to the manufacturer's instruction. Duplicate gels were analyzed for each sample and all the samples from the same batch culture were run under the exactly same conditions. The first-dimensional gel electrophoresis of isoelectric focusing (IEF) was run with the IPGphor Isoelectric Focusing System (Amersham Biosciences) at a temperature of 20°C. 250 μg of each protein sample were loaded onto Immobiline DryStrip gels (IPG strips) of pH 4–7 by in-gel rehydration. IEF was performed with the following parameters: 30 V × 6 h, 60 V × 6 h, 200 V × 1 h, 500 V × 1 h, 1000 V × 1 h, gradient from 1000 V to 8000 V within 30 min, then 8000 V × 10 h. The second-dimensional gel electrophoresis of SDS-PAGE was carried out using the vertical slab separation unit Ettan Dalt II System and pre-cast polyacrylamide gels Ettan Dalt II Gel 12.5% (Amersham Biosciences). Prior to SDS-PAGE the IPG strips were equilibrated in the SDS equilibration buffer as recommended in the user's manual provided by the manufacturer for the pre-cast gels. SDS-PAGE separation was performed at 25°C in constant power mode as follows: 2 W/gel for 1 h and then 20 W/gel until the bromophenol blue dye front reached the bottom of the gel. Subsequently, gels were stained using Brilliant Blue G-Colloidal Concentrate (Sigma, Saint Louis, Missouri, USA) by fixing in a glacial acetic acid : methanol : water (7:40:53) solution for 1 h; staining overnight with Brilliant Blue G-Colloidal according to the manufacturer's instruction and rinsing several times with Milli-Q water. The gels were then scanned with a UMAX PowerLook III scanner at 300 dpi resolution to acquire the gel images. Computer analysis of the gels for protein spot detection, matching and quantification were performed with the Phoretix 2D Advanced Software Version 2003.02 (Phoretix, Newcastle upon Tyne, UK). Exactly same parameters such as sensitivity and operator size were used for spot detection. The same background subtraction method "lowest on boundary" was applied for all gels. User seeds were added to help spot matching between gels. To overcome the problem of electrophoretic variations between gels, minor manual adjustments during spot detection and matching were performed when it was obviously necessary. Average values of protein spot volume intensities and their corresponding standard deviations were calculated to characterize expression changes of proteins. Protein spot intensity was defined as the normalized spot volume which is the ratio of the single spot volume to the total spots volumes on a 2-D gel. Normally only proteins showing more than 2-fold increase or decrease in expressions were considered to be up- or down-regulated. Protein digestion and mass spectrometric analysis Protein spots cut out from 2-DE gels were subjected to in-gel digestion with trypsin according to a method described previously [41] with some modification, namely, after rinse with water and dehydration with acetonitrile gel pieces were directly tryptic digested without further treatment. Peptides obtained were then extracted and purified with reversed-phased C18 ZipTips (Millipore, Bedford, USA). Matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) with a Bruker Ultraflex time-of-flight mass spectrometer (Bruker Daltonics GmbH, Germany) and nanoelectrospray ionization quadrupole-time-of-flight tandem mass spectrometry (ESI-QqTOF MS/MS) with a Q-TOF 2 mass spectrometer (Micromass, Manchester, England) equipped with a nanospray ion source were carried out as described by Wang et al [41]. Protein identification by homologue protein searching Peptide masses obtained from MALDI-TOF MS analysis were used for cross-species homologue protein searching in the public protein databases NCBInr and SWISS-PROT/TrEMBL by peptide mass fingerprinting. The search program Mascot (Matrix Science Ltd., UK, http://www.matrixscience.com) was used and search parameters were given as follows: trypsin was the digestion enzyme used, one missed cleavage sites was allowed, cysteine was modified by iodoacetamide and methionine was assumed to be partially oxidized. All peptide mass values are monoisotopic and the mass tolerance was set at 100 ppm. MS/MS spectra of selected peptide precursors from ESI-QqTOF MS/MS analysis were enhanced using the Max Ent 3 software (Micromass), followed by automatic or manual sequencing using the PepSeq program of the software package Masslynx™ Version 3.5 (Micromass). Peptide sequences obtained were merged and submitted for similarity searching of homologous proteins using the protein database search program MS BLAST http://dove.embl-heidelberg.de/Blast2/msblast.html[7,16] with the scoring matrix PAM30MS and against the comprehensive non-redundant protein sequence database nrdb95. No constraints on protein molecular weights (Mw), isoelectric point (pI) or species of origin were imposed. Competing interests The author(s) declare that they have no competing interests. Authors' contributions W. Wang designed and carried out 2-DE experiments, did protein identification with MS data and contributed to the preparation of this manuscript. R. Hollmann and T. Fuerch carried out the batch culture experiments and the dextransucrase activity tests. M. Nimtz participated in ESI-QqTOF MS/MS and MALDI-TOF MS analysis as well as in discussions for the preparation of this manuscript. M. Malten and D. Jahn supplied the recombinant B. megaterium strain and were well involved in discussions for the preparation of this manuscript. W.-D. Deckwer initiated and coordinated this study, and contributed to the preparation of this manuscript. All authors have read and approved the final manuscript. Additional File 1 Table 1. Overview of intracellular proteins of Bacillus megaterium MS941dsrS separated by two dimensional gel electrophoresis and identified after in-gel tryptic digestion by ESI-QqTOF MS/MS analysis and homologue protein searching using MS BLAST against the non-redundant protein database nrdb95. Click here for file(76K, pdf) Acknowledgements This work was financially supported by the Sonderforschungsbereich 578 der Deutschen Forschungsgemeischaft (DFG). The authors thank P. Westphal for her excellent technical assistance in 2-DE experiments. The authors are grateful to the GBF MS analytic group, especially A. Abrahamik, U. Felgenträger and J. Majewski for their help in the ESI-QqTOF MS/MS and MALDI-TOF MS analysis. References
|
PubMed related articles
Your browsing activity is empty. Activity recording is turned off. |
|||||||||||||||||
Microbiology. 1994 May; 140 ( Pt 5)():1001-13.
[Microbiology. 1994]Biotechnol Bioeng. 2005 Jan 20; 89(2):206-18.
[Biotechnol Bioeng. 2005]Nature. 1997 Nov 20; 390(6657):249-56.
[Nature. 1997]Proteomics. 2004 Dec; 4(12):3727-50.
[Proteomics. 2004]Electrophoresis. 2001 Aug; 22(14):2908-35.
[Electrophoresis. 2001]Methods Mol Biol. 2003; 211():221-34.
[Methods Mol Biol. 2003]Mol Cell Proteomics. 2004 Mar; 3(3):238-49.
[Mol Cell Proteomics. 2004]Nature. 1997 Nov 20; 390(6657):249-56.
[Nature. 1997]Nucleic Acids Res. 2000 Nov 1; 28(21):4317-31.
[Nucleic Acids Res. 2000]Nucleic Acids Res. 2002 Sep 15; 30(18):3927-35.
[Nucleic Acids Res. 2002]Nature. 2003 May 1; 423(6935):81-6.
[Nature. 2003]Nature. 2003 May 1; 423(6935):87-91.
[Nature. 2003]Methods Mol Biol. 2003; 211():221-34.
[Methods Mol Biol. 2003]Mol Cell Proteomics. 2004 Mar; 3(3):238-49.
[Mol Cell Proteomics. 2004]Anal Chem. 2001 May 1; 73(9):1917-26.
[Anal Chem. 2001]Biotechnol Bioeng. 2005 Jan 20; 89(2):206-18.
[Biotechnol Bioeng. 2005]Mikrobiologiia. 1975 Jul-Aug; 44(4):720-6.
[Mikrobiologiia. 1975]Int Microbiol. 2003 Jun; 6(2):127-9.
[Int Microbiol. 2003]Microbiol Rev. 1990 Dec; 54(4):450-72.
[Microbiol Rev. 1990]J Bacteriol. 1946 Dec; 52(6):665-78.
[J Bacteriol. 1946]J Bacteriol. 2001 Jul; 183(14):4235-43.
[J Bacteriol. 2001]J Bacteriol. 1999 Jan; 181(2):585-92.
[J Bacteriol. 1999]Microbiol Rev. 1990 Dec; 54(4):450-72.
[Microbiol Rev. 1990]Appl Microbiol Biotechnol. 2002 Jul; 59(2-3):211-6.
[Appl Microbiol Biotechnol. 2002]Int Microbiol. 2003 Jun; 6(2):127-9.
[Int Microbiol. 2003]Appl Environ Microbiol. 2000 Sep; 66(9):4045-9.
[Appl Environ Microbiol. 2000]J Bacteriol. 2001 Dec; 183(24):7308-17.
[J Bacteriol. 2001]Electrophoresis. 2003 Jan; 24(1-2):303-10.
[Electrophoresis. 2003]Biotechnol Prog. 1996 Mar-Apr; 12(2):196-200.
[Biotechnol Prog. 1996]J Biol Chem. 1997 Jun 20; 272(25):15607-12.
[J Biol Chem. 1997]J Biotechnol. 2004 Jul 1; 111(1):89-96.
[J Biotechnol. 2004]Biotechnol Bioeng. 2005 Jan 20; 89(2):206-18.
[Biotechnol Bioeng. 2005]Biotechnol Bioeng. 2003 Sep 5; 83(5):525-36.
[Biotechnol Bioeng. 2003]Proteome Sci. 2003 Dec 3; 1(1):6.
[Proteome Sci. 2003]Proteome Sci. 2003 Dec 3; 1(1):6.
[Proteome Sci. 2003]Methods Mol Biol. 2003; 211():221-34.
[Methods Mol Biol. 2003]Anal Chem. 2001 May 1; 73(9):1917-26.
[Anal Chem. 2001]