Publications

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79 Publications visible to you, out of a total of 79

Abstract (Expand)

The Gram-positive soil bacterium Bacillus subtilis uses glucose and malate as the preferred carbon sources. In the presence of either glucose or malate, the expression of genes and operons for the utilization of secondary carbon sources is subject to carbon catabolite repression. While glucose is a preferred substrate in many organisms from bacteria to man, the factors that contribute to the preference for malate have so far remained elusive. In this work, we have studied the contribution of the different malate-metabolizing enzymes in B. subtilis, and we have elucidated their distinct functions. The malate dehydrogenase and the phosphoenolpyruvate carboxykinase are both essential for malate utilization; they introduce malate into gluconeogenesis. The NADPH-generating malic enzyme YtsJ is important to establish the cellular pools of NADPH for anabolic reactions. Finally, the NADH-generating malic enzymes MaeA, MalS, and MleA are involved in keeping the ATP levels high. Together, this unique array of distinct activities makes malate a preferred carbon source for B. subtilis.

Authors: Frederik M Meyer,

Date Published: 10th Nov 2012

Publication Type: Not specified

Abstract (Expand)

Most organisms can choose their preferred carbon source from a mixture of nutrients. This process is called carbon catabolite repression. The Gram-positive bacterium Bacillus subtilis uses glucose as the preferred source of carbon and energy. Glucose-mediated catabolite repression is caused by binding of the CcpA transcription factor to the promoter regions of catabolic operons. CcpA binds DNA upon interaction with its cofactors HPr(Ser-P) and Crh(Ser-P). The formation of the cofactors is catalyzed by the metabolite-activated HPr kinase/phosphorylase. Recently, it has been shown that malate is a second preferred carbon source for B. subtilis that also causes catabolite repression. In this work, we addressed the mechanism by which malate causes catabolite repression. Genetic analyses revealed that malate-dependent catabolite repression requires CcpA and its cofactors. Moreover, we demonstrate that HPr(Ser-P) is present in malate-grown cells and that CcpA and HPr interact in vivo in the presence of glucose or malate but not in the absence of a repressing carbon source. The formation of the cofactor HPr(Ser-P) could be attributed to the concentrations of ATP and fructose 1,6-bisphosphate in cells growing with malate. Both metabolites are available at concentrations that are sufficient to stimulate HPr kinase activity. The adaptation of cells to environmental changes requires dynamic metabolic and regulatory adjustments. The repression strength of target promoters was similar to that observed in steady-state growth conditions, although it took somewhat longer to reach the second steady-state of expression when cells were shifted to malate.

Authors: Frederik M Meyer, Matthieu Jules, Felix M P Mehne, Dominique Le Coq, Jens J Landmann, Boris Görke, Stéphane Aymerich,

Date Published: 14th Oct 2011

Publication Type: Not specified

Abstract (Expand)

A major part of organismal complexity and versatility of prokaryotes resides in their ability to fine-tune gene expression to adequately respond to internal and external stimuli. Evolution has been very innovative in creating intricate mechanisms by which different regulatory signals operate and interact at promoters to drive gene expression. The regulation of target gene expression by transcription factors (TFs) is governed by control logic brought about by the interaction of regulators with TF binding sites (TFBSs) in cis-regulatory regions. A factor that in large part determines the strength of the response of a target to a given TF is motif stringency, the extent to which the TFBS fits the optimal TFBS sequence for a given TF. Advances in high-throughput technologies and computational genomics allow reconstruction of transcriptional regulatory networks in silico. To optimize the prediction of transcriptional regulatory networks, i.e., to separate direct regulation from indirect regulation, a thorough understanding of the control logic underlying the regulation of gene expression is required. This review summarizes the state of the art of the elements that determine the functionality of TFBSs by focusing on the molecular biological mechanisms and evolutionary origins of cis-regulatory regions.

Authors: Sacha A F T van Hijum, Marnix H Medema,

Date Published: 2nd Sep 2009

Publication Type: Not specified

Abstract (Expand)

The recent years have seen tremendous progress towards the understanding of microbial metabolism on a higher level of the entire functional system. Hereby, huge achievements including the sequencing of complete genomes and efficient post-genomic approaches provide the basis for a new, fascinating era of research-analysis of metabolic and regulatory properties on a global scale. Metabolic flux (fluxome) analysis displays the first systems oriented approach to unravel the physiology of microorganisms since it combines experimental data with metabolic network models and allows determining absolute fluxes through larger networks of central carbon metabolism. Hereby, fluxes are of central importance for systems level understanding because they fundamentally represent the cellular phenotype as integrated output of the cellular components, i.e. genes, transcripts, proteins, and metabolites. A currently emerging and promising area of research in systems biology and systems metabolic engineering is therefore the integration of fluxome data in multi-omics studies to unravel the multiple layers of control that superimpose the flux network and enable its optimal operation under different environmental conditions.

Authors: , Judith Becker,

Date Published: 7th Sep 2010

Publication Type: Not specified

Abstract (Expand)

We have developed MINOMICS, a tool that allows facile and in-depth visualization of prokaryotic transcriptomic and proteomic data in conjunction with genomics data. MINOMICS generates interactive linear genome maps in which multiple experimental datasets are displayed together with operon, regulatory motif, transcriptional promoter and transcriptional terminator information. AVAILABILITY: MINOMICS is freely accessible at http://www.minomics.nl

Authors: Rutger W W Brouwer, Sacha A F T van Hijum,

Date Published: 12th Nov 2008

Publication Type: Not specified

Abstract (Expand)

Systems biology is a comprehensive quantitative analysis how the components of a biological system interact over time which requires an interdisciplinary team of investigators. System-theoretic methods are applied to investigate the system's behavior. Using known information about the considered system, a conceptual model is defined. It is transferred in a mathematical model that can be simulated (analytically or numerically) and analyzed using system-theoretic tools. Finally, simulation results are compared with experimental data. However, assumptions, approximations, and requirements to available experimental data are crucial ingredients of this systems biology workflow. Consequently, the modeling of cellular processes creates special demands on the design of experiments: the quality, the amount, and the completeness of data. The relation between models and data is discussed in this chapter. Thereby, we focus on the requirements on experimental data from the perspective of systems biology projects.

Editor:

Date Published: 11th Nov 2010

Publication Type: Not specified

Abstract (Expand)

Disulfide bonds are important for the correct folding, structural integrity, and activity of many biotechnologically relevant proteins. For synthesis and subsequent secretion of these proteins in bacteria, such as the well-known "cell factory" Bacillus subtilis, it is often the correct formation of disulfide bonds that is the greatest bottleneck. Degradation of inefficiently or incorrectly oxidized proteins and the requirement for costly and time-consuming reduction and oxidation steps in the downstream processing of the proteins still are major limitations for full exploitation of B. subtilis for biopharmaceutical production. Therefore, the present study was aimed at developing a novel in vivo strategy for improved production of secreted disulfide-bond-containing proteins. Three approaches were tested: depletion of the major cytoplasmic reductase TrxA; introduction of the heterologous oxidase DsbA from Staphylococcus carnosus; and addition of redox-active compounds to the growth medium. As shown using the disulfide-bond-containing molecule Escherichia coli PhoA as a model protein, combined use of these three approaches resulted in secretion of amounts of active PhoA that were approximately 3.5-fold larger than the amounts secreted by the parental strain B. subtilis 168. Our findings indicate that Bacillus strains with improved oxidizing properties can be engineered for biotechnological production of heterologous high-value proteins containing disulfide bonds.

Authors: Thijs R H M Kouwen, Jean-Yves F Dubois, Roland Freudl, Wim J Quax,

Date Published: 24th Oct 2008

Publication Type: Not specified

Abstract (Expand)

Bacillus subtilis has been developed as a model system for physiological proteomics. However, thus far these studies have mainly been limited to cytoplasmic, extracellular, and cell-wall attached proteins. Although being certainly important for cell physiology, the membrane protein fraction has not been studied in comparable depth due to inaccessibility by traditional 2-DE-based workflows and limitations in reliable quantification. In this study, we now compare the potential of stable isotope labeling with amino acids (SILAC) and (14)N/(15)N-labeling for the analysis of bacterial membrane fractions in physiology-driven proteomic studies. Using adaptation of B. subtilis to amino acid (lysine) and glucose starvation as proof of principle scenarios, we show that both approaches provide similarly valuable data for the quantification of bacterial membrane proteins. Even if labeling with stable amino acids allows a more straightforward analysis of data, the (14)N/(15)N-labeling has some advantages in general such as labeling of all amino acids and thereby increasing the number of peptides for quantification. Both, SILAC as well as (14)N/(15)N-labeling are compatible with 2-DE, 2-D LC-MS/MS, and GeLC-MS/MS and thus will allow comprehensive simultaneous interrogation of cytoplasmic and enriched membrane proteomes.

Authors: Annette Dreisbach, Andreas Otto, Dörte Becher, Elke Hammer, Alexander Teumer, Joost W Gouw, ,

Date Published: 21st May 2008

Publication Type: Not specified

Abstract (Expand)

Bacillus subtilis serves as an excellent model to study protein secretion at a proteomic scale. Most of the extracellular proteins are exported from the cytoplasm via the secretory (Sec) pathway. Despite extensive studies, the secretion mechanisms of about 25% of the extracellular proteins are unknown. This suggests that B. subtilis makes use of alternative mechanisms to release proteins into its environment. In search for novel pathways, which contribute to biogenesis of the B. subtilis exoproteome, we investigated a possible role of the large conductance mechanosensitive channel protein MscL. We compared protein secretion by MscL deficient and proficient B. subtilis cells. MscL did not contribute to secretion under standard growth conditions. Unexpectedly, we discovered that under hypo-osmotic shock conditions specific, normally cytoplasmic proteins were released by mscL mutant cells. This protein release was selective since not all cytoplasmic proteins were equally well released. We established that this protein release by mscL mutant cells cannot be attributed to cell death or lysis. The presence of MscL, therefore, seems to prevent the specific release of cytoplasmic proteins by B. subtilis during hypo-osmotic shock. Our unprecedented findings imply that an unidentified system for selective release of cytoplasmic proteins is active in B. subtilis.

Authors: Thijs R H M Kouwen, Haike Antelmann, René van der Ploeg, Emma L Denham, ,

Date Published: 23rd Jan 2009

Publication Type: Not specified

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