Marcus Persicke

MeltDB: a software platform for the analysis and integration of metabolomics experiment data

MOTIVATION The recent advances in metabolomics have created the potential to measure the levels of hundreds of metabolites which are the end products of cellular regulatory processes. The automation of the sample acquisition and subsequent analysis in high-throughput instruments that are capable of measuring metabolites is posing a challenge on the necessary systematic storage and computational processing of the experimental datasets. Whereas a multitude of specialized software systems for individual instruments and preprocessing methods exists, there is clearly a need for a free and platform-independent system that allows the standardized and integrated storage and analysis of data obtained from metabolomics experiments. Currently there exists no such system that on the one hand supports preprocessing of raw datasets but also allows to visualize and integrate the results of higher level statistical analyses within a functional genomics context. RESULTS To facilitate the systematic storage, analysis and integration of metabolomics experiments, we have implemented MeltDB, a web-based software platform for the analysis and annotation of datasets from metabolomics experiments. MeltDB supports open file formats (netCDF, mzXML, mzDATA) and facilitates the integration and evaluation of existing preprocessing methods. The system provides researchers with means to consistently describe and store their experimental datasets. Comprehensive analysis and visualization features of metabolomics datasets are offered to the community through a web-based user interface. The system covers the process from raw data to the visualization of results in a knowledge-based background and is integrated into the context of existing software platforms of genomics and transcriptomics at Bielefeld University. We demonstrate the potential of MeltDB by means of a sample experiment where we dissect the influence of three different carbon sources on the gram-negative bacterium Xanthomonas campestris pv. campestris on the level of measured metabolites. Experimental data are stored, analyzed and annotated within MeltDB and accessible via the public MeltDB web server. AVAILABILITY The system is publicly available at http://meltdb.cebitec.uni-bielefeld.de.

Functional genomics of pH homeostasis in Corynebacterium glutamicum revealed novel links between pH response, oxidative stress, iron homeostasis and methionine synthesis.

BackgroundThe maintenance of internal pH in bacterial cells is challenged by natural stress conditions, during host infection or in biotechnological production processes. Comprehensive transcriptomic and proteomic analyses has been conducted in several bacterial model systems, yet questions remain as to the mechanisms of pH homeostasis.ResultsHere we present the comprehensive analysis of pH homeostasis in C. glutamicum, a bacterium of industrial importance. At pH values between 6 and 9 effective maintenance of the internal pH at 7.5 ± 0.5 pH units was found. By DNA microarray analyses differential mRNA patterns were identified. The expression profiles were validated and extended by 1D-LC-ESI-MS/MS based quantification of soluble and membrane proteins. Regulators involved were identified and thereby participation of numerous signaling modules in pH response was found. The functional analysis revealed for the first time the occurrence of oxidative stress in C. glutamicum cells at neutral and low pH conditions accompanied by activation of the iron starvation response. Intracellular metabolite pool analysis unraveled inhibition of the TCA and other pathways at low pH. Methionine and cysteine synthesis were found to be activated via the McbR regulator, cysteine accumulation was observed and addition of cysteine was shown to be toxic under acidic conditions.ConclusionsNovel limitations for C. glutamicum at non-optimal pH values were identified by a comprehensive analysis on the level of the transcriptome, proteome, and metabolome indicating a functional link between pH acclimatization, oxidative stress, iron homeostasis, and metabolic alterations. The results offer new insights into bacterial stress physiology and new starting points for bacterial strain design or pathogen defense.

Interactions between the jasmonic and salicylic acid pathway modulate the plant metabolome and affect herbivores of different feeding types

The phytohormones jasmonic acid (JA) and salicylic acid (SA) mediate induced plant defences and the corresponding pathways interact in a complex manner as has been shown on the transcript and proteine level. Downstream, metabolic changes are important for plant-herbivore interactions. This study investigated metabolic changes in leaf tissue and phloem exudates of Plantago lanceolata after single and combined JA and SA applications as well as consequences on chewing-biting (Heliothis virescens) and piercing-sucking (Myzus persicae) herbivores. Targeted metabolite profiling and untargeted metabolic fingerprinting uncovered different categories of plant metabolites, which were influenced in a specific manner, indicating points of divergence, convergence, positive crosstalk and pronounced mutual antagonism between the signaling pathways. Phytohormone-specific decreases of primary metabolite pool sizes in the phloem exudates may indicate shifts in sink-source relations, resource allocation, nutrient uptake or photosynthesis. Survival of both herbivore species was significantly reduced by JA and SA treatments. However, the combined application of JA and SA attenuated the negative effects at least against H. virescens suggesting that mutual antagonism between the JA and SA pathway may be responsible. Pathway interactions provide a great regulatory potential for the plant that allows triggering of appropriate defences when attacked by different antagonist species.

Histidine biosynthesis, its regulation and biotechnological application in Corynebacterium glutamicum

l‐Histidine biosynthesis is an ancient metabolic pathway present in bacteria, archaea, lower eukaryotes, and plants. For decades l‐histidine biosynthesis has been studied mainly in Escherichia coli and Salmonella typhimurium, revealing fundamental regulatory processes in bacteria. Furthermore, in the last 15 years this pathway has been also investigated intensively in the industrial amino acid‐producing bacterium Corynebacterium glutamicum, revealing similarities to E. coli and S. typhimurium, as well as differences. This review summarizes the current knowledge of l‐histidine biosynthesis in C. glutamicum. The genes involved and corresponding enzymes are described, in particular focusing on the imidazoleglycerol‐phosphate synthase (HisFH) and the histidinol‐phosphate phosphatase (HisN). The transcriptional organization of his genes in C. glutamicum is also reported, including the four histidine operons and their promoters. Knowledge of transcriptional regulation during stringent response and by histidine itself is summarized and a translational regulation mechanism is discussed, as well as clues about a histidine transport system. Finally, we discuss the potential of using this knowledge to create or improve C. glutamicum strains for the industrial l‐histidine production.

Establishment, in silico analysis, and experimental verification of a large-scale metabolic network of the xanthan producing Xanthomonas campestris pv. campestris strain B100.

The γ-proteobacterium Xanthomonas campestris pv. campestris (Xcc) B100 synthesizes the polysaccharide xanthan, a commercially important viscosifier. Since the complete genome of Xcc B100 is available, systems biology tools were applied to obtain a deeper understanding of the metabolism involved in xanthan biosynthesis. A large-scale metabolic network was reconstructed and manually curated. The reconstructed network included 352 genes, 437 biochemical reactions, 10 transport reactions, and 338 internal metabolites. To use this network for flux balance analysis, the biomass composition of Xcc B100 was determined. The comprehensive model obtained was applied for in silico analyses to predict biomass generation and gene essentiality. Predictions were extensively validated by analyzing batch culture performance and by carbon balancing including xanthan production. Single gene deletion mutants causing deficiencies in the central carbohydrate metabolism were constructed to enforce major flux redistributions. The impact of xanthan production was studied in vivo and in silico, comparing the physiology of a gumD mutant, negative in xanthan production, with the original strain. The results indicate a redistribution of resources from xanthan to biomass, rather than a reduction in carbon uptake. With this high quality metabolic model, both systems biology analyses and synthetic biology reengineering of Xcc gained an important tool.

Characterization of fructose 1,6-bisphosphatase and sedoheptulose 1,7-bisphosphatase from the facultative ribulose monophosphate cycle methylotroph Bacillus methanolicus

The genome of the facultative ribulose monophosphate (RuMP) cycle methylotroph Bacillus methanolicus encodes two bisphosphatases (GlpX), one on the chromosome (GlpX(C)) and one on plasmid pBM19 (GlpX(P)), which is required for methylotrophy. Both enzymes were purified from recombinant Escherichia coli and were shown to be active as fructose 1,6-bisphosphatases (FBPases). The FBPase-negative Corynebacterium glutamicum Δfbp mutant could be phenotypically complemented with glpX(C) and glpX(P) from B. methanolicus. GlpX(P) and GlpX(C) share similar functional properties, as they were found here to be active as homotetramers in vitro, activated by Mn(2+) ions and inhibited by Li(+), but differed in terms of the kinetic parameters. GlpX(C) showed a much higher catalytic efficiency and a lower Km for fructose 1,6-bisphosphate (86.3 s(-1) mM(-1) and 14 ± 0.5 μM, respectively) than GlpX(P) (8.8 s(-1) mM(-1) and 440 ± 7.6 μM, respectively), indicating that GlpX(C) is the major FBPase of B. methanolicus. Both enzymes were tested for activity as sedoheptulose 1,7-bisphosphatase (SBPase), since a SBPase variant of the ribulose monophosphate cycle has been proposed for B. methanolicus. The substrate for the SBPase reaction, sedoheptulose 1,7-bisphosphate, could be synthesized in vitro by using both fructose 1,6-bisphosphate aldolase proteins from B. methanolicus. Evidence for activity as an SBPase could be obtained for GlpX(P) but not for GlpX(C). Based on these in vitro data, GlpX(P) is a promiscuous SBPase/FBPase and might function in the RuMP cycle of B. methanolicus.

Molecular characterization of PrpR, the transcriptional activator of propionate catabolism in Corynebacterium glutamicum.

The 2-methylcitrate cycle is used to metabolize propionate in Corynebacterium glutamicum. The regulator, PrpR (Cg0800), of the prpDBC2 operon was identified and characterized. The regulator has no similarities to the up to now known PrpR regulators from other organisms. Growth of a ΔprpR mutant revealed severe growth deficits and a prolonged lag phase if propionate was present in the medium. Transcriptome analyses demonstrated the inability of the ΔprpR strain to induce the prpDBC2 genes in the presence of propionate indicating that PrpR represents a transcriptional activator. They also provided evidence that PrpR controls only the prpDBC2 operon while transcription of the prpR gene was found to be independent of the used carbon source. GC-MS based metabolic profiling of the wild type and the ΔprpR strain grown with propionate revealed smaller pool sizes of the metabolites of the 2-methylcitrate cycle in the mutant strain. The transcriptional start sites and their putative promoters of the prpDBC2 operon and the prpR gene were identified by RACE-PCR. Analyses of promoter test vector constructs led to the identification of a 121bp operator region upstream of prpDBC2, which is essential for a propionate-induced transcription by PrpR. Finally, EMSA studies revealed that 2-methylcitrate most probably acts as co-activator of PrpR.

A novel type of N-acetylglutamate synthase is involved in the first step of arginine biosynthesis in Corynebacterium glutamicum

BackgroundArginine biosynthesis in Corynebacterium glutamicum consists of eight enzymatic steps, starting with acetylation of glutamate, catalysed by N-acetylglutamate synthase (NAGS). There are different kinds of known NAGSs, for example, “classical” ArgA, bifunctional ArgJ, ArgO, and S-NAGS. However, since C. glutamicum possesses a monofunctional ArgJ, which catalyses only the fifth step of the arginine biosynthesis pathway, glutamate must be acetylated by an as of yet unknown NAGS gene.ResultsArginine biosynthesis was investigated by metabolome profiling using defined gene deletion mutants that were expected to accumulate corresponding intracellular metabolites. HPLC-ESI-qTOF analyses gave detailed insights into arginine metabolism by detecting six out of seven intermediates of arginine biosynthesis. Accumulation of N-acetylglutamate in all mutants was a further confirmation of the unknown NAGS activity. To elucidate the identity of this gene, a genomic library of C. glutamicum was created and used to complement an Escherichia coli ΔargA mutant. The plasmid identified, which allowed functional complementation, contained part of gene cg3035, which contains an acetyltransferase domain in its amino acid sequence. Deletion of cg3035 in the C. glutamicum genome led to a partial auxotrophy for arginine. Heterologous overexpression of the entire cg3035 gene verified its ability to complement the E. coli ΔargA mutant in vivo and homologous overexpression led to a significantly higher intracellular N-acetylglutamate pool. Enzyme assays confirmed the N-acetylglutamate synthase activity of Cg3035 in vitro. However, the amino acid sequence of Cg3035 revealed no similarities to members of known NAGS gene families.ConclusionsThe N-acetylglutamate synthase Cg3035 is able to catalyse the first step of arginine biosynthesis in C. glutamicum. It represents a novel class of NAGS genes apparently present only in bacteria of the suborder Corynebacterineae, comprising amongst others the genera Corynebacterium, Mycobacterium, and Nocardia. Therefore, the name C-NAGS (Corynebacterineae-type NAGS) is proposed for this new family.

ALLocator: An Interactive Web Platform for the Analysis of Metabolomic LC-ESI-MS Datasets, Enabling Semi-Automated, User-Revised Compound Annotation and Mass Isotopomer Ratio Analysis

Adduct formation, fragmentation events and matrix effects impose special challenges to the identification and quantitation of metabolites in LC-ESI-MS datasets. An important step in compound identification is the deconvolution of mass signals. During this processing step, peaks representing adducts, fragments, and isotopologues of the same analyte are allocated to a distinct group, in order to separate peaks from coeluting compounds. From these peak groups, neutral masses and pseudo spectra are derived and used for metabolite identification via mass decomposition and database matching. Quantitation of metabolites is hampered by matrix effects and nonlinear responses in LC-ESI-MS measurements. A common approach to correct for these effects is the addition of a U-13C-labeled internal standard and the calculation of mass isotopomer ratios for each metabolite. Here we present a new web-platform for the analysis of LC-ESI-MS experiments. ALLocator covers the workflow from raw data processing to metabolite identification and mass isotopomer ratio analysis. The integrated processing pipeline for spectra deconvolution “ALLocatorSD” generates pseudo spectra and automatically identifies peaks emerging from the U-13C-labeled internal standard. Information from the latter improves mass decomposition and annotation of neutral losses. ALLocator provides an interactive and dynamic interface to explore and enhance the results in depth. Pseudo spectra of identified metabolites can be stored in user- and method-specific reference lists that can be applied on succeeding datasets. The potential of the software is exemplified in an experiment, in which abundance fold-changes of metabolites of the l-arginine biosynthesis in C. glutamicum type strain ATCC 13032 and l-arginine producing strain ATCC 21831 are compared. Furthermore, the capability for detection and annotation of uncommon large neutral losses is shown by the identification of (γ-)glutamyl dipeptides in the same strains. ALLocator is available online at: https://allocator.cebitec.uni-bielefeld.de. A login is required, but freely available.

Carbon source dependent biosynthesis of acarviose metabolites in Actinoplanes sp SE50/110

In this work the biosynthesis of the type 2 diabetes mellitus therapeutic acarviosyl-maltose (acarbose) and related acarviose metabolites produced by Actinoplanes sp. SE50/110 was studied in liquid minimal medium supplemented with the defined carbon sources maltose, glucose, galactose or mixtures of maltose/glucose and maltose/galactose. Quantifying acarviosyl-maltose by HPLC and UV detection revealed that only cultures grown in maltose-containing minimal media produced acarviosyl-maltose in significant amounts. A qualitative analysis of the cytosolic and extracellular proteome for the presence of proteins from the acarbose biosynthesis gene cluster showed that these were not only synthesized in maltose-containing media, but also in media with glucose or galactose as the sole carbon source. A LC-MS-based detection method was applied to test the hypothesis that different acarviose metabolites are produced in media with maltose, glucose or galactose. The analysis revealed that a spectrum of acarviose metabolites (acarviose with 1-4 glucose equivalent units) was formed under all tested conditions. As expected, in maltose-containing minimal media acarviosyl-maltose was produced as the major component exceeding the remaining minor components by 2-3 orders of magnitude. In minimal medium supplemented with glucose acarviosyl-glucose was the major component, while in minimal medium with galactose no major component was present. Based on the results presented, a model for the intracellular biosynthesis of major and minor acarviose metabolites was developed.