Biomedical subjects

Armin Ehrenreich

Publications and source records attributed to Armin Ehrenreich.

10 recordsLinked to original sources

PubMed2006

Transcriptional and metabolic responses of Bacillus subtilis to the availability of organic acids: transcription regulation is important but not sufficient to account for metabolic adaptation.

The soil bacterium Bacillus subtilis can use sugars or organic acids as sources of carbon and energy. These nutrients are metabolized by glycolysis, the pentose phosphate pathway, and the Krebs citric acid cycle. While the response of B. subtilis to the availability of sugars is well understood, much less is known about the changes in metabolism if organic acids feeding into the Krebs cycle are provided. If B. subtilis is supplied with succinate and glutamate in addition to glucose, the cells readjust their metabolism as determined by transcriptome and metabolic flux analyses. The portion of glucose-6-phosphate that feeds into the pentose phosphate pathway is significantly increased in the presence of organic acids. Similarly, important changes were detected at the level of pyruvate and acetyl coenzyme A (acetyl-CoA). In the presence of organic acids, oxaloacetate formation is strongly reduced, whereas the formation of lactate is significantly increased. The alsSD operon required for acetoin formation is strongly induced in the presence of organic acids; however, no acetoin formation was observed. The recently discovered phosphorylation of acetolactate decarboxylase may provide an additional level of control of metabolism. In the presence of organic acids, both types of analyses suggest that acetyl-CoA was catabolized to acetate rather than used for feeding the Krebs cycle. Our results suggest that future work has to concentrate on the posttranslational mechanisms of metabolic regulation.

Adaptation, Physiological↗

PubMed2006

DNA microarray technology for the microbiologist: an overview.

DNA microarrays have found widespread use as a flexible tool to investigate bacterial metabolism. Their main advantage is the comprehensive data they produce on the transcriptional response of the whole genome to an environmental or genetic stimulus. This allows the microbiologist to monitor metabolism and to define stimulons and regulons. Other fields of application are the identification of microorganisms or the comparison of genomes. The importance of this technology increases with the number of sequenced genomes and the falling prices for equipment and oligonucleotides. Knowledge of DNA microarrays is of rising relevance for many areas in microbiological research. Much literature has been published on various specific aspects of this technique that can be daunting to the casual user and beginner. This article offers a comprehensive outline of microarray technology for transcription analysis in microbiology. It shortly discusses the types of DNA microarrays available, the printing of custom arrays, common labeling strategies for targets, hybridization, scanning, normalization, and clustering of expression data.

Algorithms↗

PubMed2006

Cell envelope stress response in Bacillus licheniformis: integrating comparative genomics, transcriptional profiling, and regulon mining to decipher a complex regulatory network.

The envelope is an essential structure of the bacterial cell, and maintaining its integrity is a prerequisite for survival. To ensure proper function, transmembrane signal-transducing systems, such as two-component systems (TCS) and extracytoplasmic function (ECF) sigma factors, closely monitor its condition and respond to harmful perturbations. Both systems consist of a transmembrane sensor protein (histidine kinase or anti-sigma factor, respectively) and a corresponding cytoplasmic transcriptional regulator (response regulator or sigma factor, respectively) that mediates the cellular response through differential gene expression. The regulatory network of the cell envelope stress response is well studied in the gram-positive model organism Bacillus subtilis. It consists of at least two ECF sigma factors and four two-component systems. In this study, we describe the corresponding network in a close relative, Bacillus licheniformis. Based on sequence homology, domain architecture, and genomic context, we identified five TCS and eight ECF sigma factors as potential candidate regulatory systems mediating cell envelope stress response in this organism. We characterized the corresponding regulatory network by comparative transcriptomics and regulon mining as an initial screening tool. Subsequent in-depth transcriptional profiling was applied to define the inducer specificity of each identified cell envelope stress sensor. A total of three TCS and seven ECF sigma factors were shown to be induced by cell envelope stress in B. licheniformis. We noted a number of significant differences, indicative of a regulatory divergence between the two Bacillus species, in addition to the expected overlap in the respective responses.

Adaptation, Physiological↗

PubMed2006

Global transcriptional analysis of Methanosarcina mazei strain Gö1 under different nitrogen availabilities.

Certain archaeal species can fix molecular nitrogen under nitrogen limiting conditions although little is known about this process at either the genetic or molecular level. To address this on a genome-wide scale, transcriptional analysis was performed on the model methanogen Methanosarcina mazei strain Gö1 using DNA-microarrays. The genomic expression patterns for cells grown under nitrogen fixing conditions versus nitrogen sufficiency (10 mM ammonium) revealed that approximately 5% of all genes are differentially expressed. Besides a small set of genes previously known to be up-regulated under nitrogen limitation, 14 additional genes involved in nitrogen metabolism were identified plus 10 genes encoding potential transcriptional regulators, 13 genes involved in carbon metabolism, 3 genes in general stress response, 8 putative transporter genes, and an additional 21 genes with unknown function. Quantitative reverse transcriptase PCR experiments confirmed the differential expression of a subset of these genes. Promoter analysis revealed a palindromic DNA motif centered nearby the transcriptional start point for several genes up-regulated under nitrogen limitation. A bioinformatics study demonstrated the presence of this motif in the up-stream region of 52 genes genome-wide, the majority of which showed nitrogen dependent differential transcription. We therefore hypothesize that this DNA element is involved in nitrogen control in M. mazei where it may act as a binding site for a regulatory protein.

Archaeal Proteins↗

PubMed2006

The extracellular proteome of Bacillus licheniformis grown in different media and under different nutrient starvation conditions.

The now finished genome sequence of Bacillus licheniformis DSM 13 allows the prediction of the genes involved in protein secretion into the extracellular environment as well as the prediction of the proteins which are translocated. From the sequence 296 proteins were predicted to contain an N-terminal signal peptide directing most of them to the Sec system, the main transport system in Gram-positive bacteria. Using 2-DE the extracellular proteome of B. licheniformis grown in different media was studied. From the approximately 200 spots visible on the gels, 89 were identified that either contain an N-terminal signal sequence or are known to be secreted by other mechanisms than the Sec pathway. The extracellular proteome of B. licheniformis includes proteins from different functional classes, like enzymes for the degradation of various macromolecules, proteins involved in cell wall turnover, flagellum- and phage-related proteins and some proteins of yet unknown function. Protein secretion is highest during stationary growth phase. Furthermore, cells grown in complex medium secrete considerably higher protein amounts than cells grown in minimal medium. Limitation of phosphate, carbon and nitrogen sources results in the secretion of specific proteins that may be involved in counteracting the starvation.

Amino Acid Sequence↗

PubMed2006

The phosphate-starvation response of Bacillus licheniformis.

The phosphate-starvation stimulon of Bacillus licheniformis was analyzed at the transcriptional and translational level. The comparison of the transcriptome and the proteome demonstrated that this specific starvation response of B. licheniformis is partially similar to that of B. subtilis. However, it is also shown that B. licheniformis has evolved its own strategies to cope with this nutrient limitation. By means of the secretome analysis the phytase was identified as the most abundant protein under phosphate-starvation conditions. Data of this study indicate that, unlike in B. subtilis, phosphate starvation in B. licheniformis does not induce the SigmaB-dependent general stress response.

6-Phytase↗

PubMed2005

DNA microarray analysis of Methanosarcina mazei Gö1 reveals adaptation to different methanogenic substrates.

Methansarcina mazei Gö1 DNA arrays were constructed and used to evaluate the genomic expression patterns of cells grown on either of two alternative methanogenic substrates, acetate or methanol, as sole carbon and energy source. Analysis of differential transcription across the genome revealed two functionally grouped sets of genes that parallel the central biochemical pathways in, and reflect many known features of, acetate and methanol metabolism. These include the acetate-induced genes encoding acetate activating enzymes, acetyl-CoA synthase/CO dehydrogenase, and carbonic anhydrase. Interestingly, additional genes expressed at significantly higher levels during growth on acetate included two energy-conserving complexes (the Ech hydrogenase, and the A1A0-type ATP synthase). Many previously unknown features included the induction by acetate of genes coding for ferredoxins and flavoproteins, an aldehyde:ferredoxin oxidoreductase, enzymes for the synthesis of aromatic amino acids, and components of iron, cobalt and oligopeptide uptake systems. In contrast, methanol-grown cells exhibited elevated expression of genes assigned to the methylotrophic pathway of methanogenesis. Expression of genes for components of the translation apparatus was also elevated in cells grown in the methanol medium relative to acetate, and was correlated with the faster growth rate observed on the former substrate. These experiments provide the first comprehensive insight into substrate-dependent gene expression in a methanogenic archaeon. This genome-wide approach, coupled with the complementary molecular and biochemical tools, should greatly accelerate the exploration of Methanosarcina cell physiology, given the present modest level of our knowledge of these large archaeal genomes.

Adaptation, Physiological↗

PubMed2005

Complete genome sequence of the acetic acid bacterium Gluconobacter oxydans.

Gluconobacter oxydans is unsurpassed by other organisms in its ability to incompletely oxidize a great variety of carbohydrates, alcohols and related compounds. Furthermore, the organism is used for several biotechnological processes, such as vitamin C production. To further our understanding of its overall metabolism, we sequenced the complete genome of G. oxydans 621H. The chromosome consists of 2,702,173 base pairs and contains 2,432 open reading frames. In addition, five plasmids were identified that comprised 232 open reading frames. The sequence data can be used for metabolic reconstruction of the pathways leading to industrially important products derived from sugars and alcohols. Although the respiratory chain of G. oxydans was found to be rather simple, the organism contains many membrane-bound dehydrogenases that are critical for the incomplete oxidation of biotechnologically important substrates. Moreover, the genome project revealed the unique biochemistry of G. oxydans with respect to the process of incomplete oxidation.

Acetic Acid↗

PubMed2004

A proteomic view of cell physiology of Bacillus licheniformis.

The still ongoing sequencing of Bacillus licheniformis at the Göttingen Sequencing Laboratory provides the basis for proteome studies of the bacterium. By using two-dimensional (2-D) electrophoresis and protein identification by mass spectrometry, we were able to create master gels for B. licheniformis cells grown either in minimal medium or in complex medium containing about 300 and 180 entries, respectively. With the DECODON Delta 2D software we identified the most abundant protein spots on the gels, which were shown to perform mainly basic metabolic functions in the cell such as translation, amino acid metabolism, glycolysis, and tricarboxylic acid (TCA) cycle. Based on the master gels, we were able to study the regulation of metabolic pathways such as glycolysis and TCA cycle. In cells grown in the presence of glucose a significant increase of the amount of some glycolytic enzymes (TpiA, GapA, Pgk, Pgm, Eno, Pyk) and of the pyruvate dehydrogenase (PdhA-D) was found. At the same time, there is a strong repression of almost all TCA cycle enzymes and of the ATP synthase. Glucose also stimulates the acetate kinase (AckA) and the phosphotransacetylase (Pta) which are known to be involved in the overflow metabolism in B. subtilis. Furthermore, we began developing proteomic signatures for growth of B. licheniformis in complex medium. For this purpose, we compared the proteome pattern of exponentially growing cells with that of cells in different stages during stationary phase. The most obvious proteomic signature indicates that cells during stationary phase are subjected to a severe oxidative stress and a resulting protein stress. Furthermore, the level of many vegetative proteins is strongly reduced when the growth is arrested after entry into stationary phase. The data indicate that proteomics can be a valuable tool to describe the physiological state of B. licheniformis cell populations, e.g., of cells growing in a bioreactor.

Bacillus↗

PubMed2004

The complete genome sequence of Bacillus licheniformis DSM13, an organism with great industrial potential.

The genome of Bacillus licheniformis DSM13 consists of a single chromosome that has a size of 4,222,748 base pairs. The average G+C ratio is 46.2%. 4,286 open reading frames, 72 tRNA genes, 7 rRNA operons and 20 transposase genes were identified. The genome shows a marked co-linearity with Bacillus subtilis but contains defined inserted regions that can be identified at the sequence as well as at the functional level. B. licheniformis DSM13 has a well-conserved secretory system, no polyketide biosynthesis, but is able to form the lipopeptide lichenysin. From the further analysis of the genome sequence, we identified conserved regulatory DNA motives, the occurrence of the glyoxylate bypass and the presence of anaerobic ribonucleotide reductase explaining that B. licheniformis is able to grow on acetate and 2,3-butanediol as well as anaerobically on glucose. Many new genes of potential interest for biotechnological applications were found in B. licheniformis; candidates include proteases, pectate lyases, lipases and various polysaccharide degrading enzymes.

Bacillus↗