Biomedical subjects

Johannes Geiselmann

Publications and source records attributed to Johannes Geiselmann.

15 recordsLinked to original sources

PubMed2007

The Crl-RpoS regulon of Escherichia coli.

The RpoS subunit of RNA polymerase controls the expression of numerous genes involved in stationary phase and in response to different stress conditions. The regulatory protein Crl increases the activity of RpoS by direct interaction with the RpoS holoenzyme. To define the extent of the Crl regulon, we used two-dimensional SDS-PAGE to measure the role of Crl in regulating the expression of the Escherichia coliproteome in stationary phase at 30 degrees C. By comparing the proteome of four strains (wild type, crl(-), rpoS(-), and crl(-)rpoS(-)), we observed that the intensity of 74 spots was modified in at least one mutant context. 62 spots were identified by mass spectrometry and correspond to 40 distinct proteins. They were classified in four main categories: DNA metabolism, central metabolism, response to environmental modifications, and miscellaneous. Three proteins were specifically involved in quorum sensing: TnaA (the tryptophanase that converts tryptophan to indole), WrbA (Trp repressor-binding protein), and YgaG (homologous to LuxS, autoinducer-2 synthase). Because little is known about the regulation of Crl expression, we investigated the influence of diffusible molecules on the expression of Crl. Using Western blotting experiments, we showed that, at 30 degrees C, a diffusible molecule(s) produced during the transition phase between the exponential and stationary phases induces a premature expression of Crl. Indole was tested as one of the potential candidates: at 37 degrees C, it is present in the extracellular medium at a constant concentration, but at 30 degrees C, its concentration peaks during the transition phase. When indole was added to the culture medium, it also induced prematurely the expression of Crl at both the transcriptional and translational levels in a Crl-dependent manner. Crl may thus be considered a new environmental sensor via the indole concentration.

Bacterial Proteins↗

PubMed2007

Mutual regulation of Crl and Fur in Escherichia coli W3110.

The small regulatory protein Crl controls the expression of curli. Recently we have shown that Crl interacts directly with one of the most global regulators of Escherichia coli, the stress-related sigma factor RpoS, suggesting a more global role for Crl. We show here by a proteomics analysis that the expression of at least nine cellular proteins was considerably modified when Crl was overexpressed. We assessed the part of transcriptional and post-transcriptional regulation for five of these genes. The results showed that Crl regulates the expression of another global regulator, the central regulator of iron homeostasis, Fur. A molecular analysis revealed that Crl and Fur affect their own and each other's expression. We provide physical evidence for the binding of Fur to the crl and fur promoter regions. Crl modulated the affinity of Fur at the fur promoter but not at the crl promoter. The triad RpoS-Crl-Fur may thus represent the centerpiece of a global regulatory system of response to different stresses.

Bacterial Proteins↗

PubMed2006

Parallel changes in global protein profiles during long-term experimental evolution in Escherichia coli.

Twelve populations of Escherichia coli evolved in and adapted to a glucose-limited environment from a common ancestor. We used two-dimensional protein electrophoresis to compare two evolved clones, isolated from independently derived populations after 20,000 generations. Exceptional parallelism was detected. We compared the observed changes in protein expression profiles with previously characterized global transcription profiles of the same clones; this is the first time such a comparison has been made in an evolutionary context where these changes are often quite subtle. The two methodologies exhibited some remarkable similarities that highlighted two different levels of parallel regulatory changes that were beneficial during the evolution experiment. First, at the higher level, both methods revealed extensive parallel changes in the same global regulatory network, reflecting the involvement of beneficial mutations in genes that control the ppGpp regulon. Second, both methods detected expression changes of identical gene sets that reflected parallel changes at a lower level of gene regulation. The protein profiles led to the discovery of beneficial mutations affecting the malT gene, with strong genetic parallelism across independently evolved populations. Functional and evolutionary analyses of these mutations revealed parallel phenotypic decreases in the maltose regulon expression and a high level of polymorphism at this locus in the evolved populations.

Adaptation, Physiological↗

PubMed2005

Qualitative simulation of the carbon starvation response in Escherichia coli.

In case of nutritional stress, like carbon starvation, Escherichia coli cells abandon their exponential-growth state to enter a more resistant, non-growth state called stationary phase. This growth-phase transition is controlled by a genetic regulatory network integrating various environmental signals. Although E. coli is a paradigm of the bacterial world, it is little understood how its response to carbon starvation conditions emerges from the interactions between the different components of the regulatory network. Using a qualitative method that is able to overcome the current lack of quantitative data on kinetic parameters and molecular concentrations, we model the carbon starvation response network and simulate the response of E. coli cells to carbon deprivation. This allows us to identify essential features of the transition between exponential and stationary phase and to make new predictions on the qualitative system behavior following a carbon upshift.

Carbon↗

PubMed2005

Control of bacteriophage mu lysogenic repression.

The transposable and temperate phage Mu infects Escherichia coli where it can enter the lytic life-cycle or reside as a repressed and integrated prophage. The repressor protein Rep is the key element in the lysis-lysogeny decision. We have analyzed the fate of Rep in different mutants by Western blotting under two conditions that can induce a lysogen: high temperature and stationary phase. We show that, unexpectedly, Rep accumulates under all conditions where the prophage is completely derepressed, and that this accumulation is ClpX-dependent. An analysis of the degradation kinetics shows that Rep is a target of two protease systems: inactivation of either the clpP or lon gene results in a stabilization of Rep. Such a reaction scheme explains the counterintuitive observation that derepression is correlated with high repressor concentration. We conclude that under all conditions of phage induction the repressor is sequestered in a non-active form. A quantitative simulation accounts for our experimental data. It provides a model that captures the essential features of Mu induction and explains some of the mechanisms by which the physiological signals affecting the lysis-lysogeny decision converge onto Rep.

Bacteriophage mu↗

PubMed2005

Inferring the connectivity of a regulatory network from mRNA quantification in Synechocystis PCC6803.

A major task of contemporary biology is to understand and predict the functioning of regulatory networks. We use expression data to deduce the regulation network connecting the sigma factors of Synechocystis PCC6803, the most global regulators in bacteria. Synechocystis contains one group 1 (SigA) and four group 2 (SigB, SigC, SigD and SigE) sigma factors. From the relative abundance of the sig mRNA measured in the wild-type and the four group 2 sigma mutants, we derive a network of the influences of each sigma factor on the transcription of all other sigma factors. Internal or external stimuli acting on only one of the sigma factors will thus indirectly modify the expression of most of the others. From this model, we predict the control points through which the circadian time modulates the expression of the sigma factors. Our results show that the cross regulation between the group 1 and group 2 sigma factors is very important for the adaptation of the bacterium to different environmental and physiological conditions.

Bacterial Proteins↗

PubMed2005

Crosstalk regulation among group 2-sigma factors in Synechocystis PCC6803.

BACKGROUND: The cyanobacterium Synechocystis PCC6803 contains one group 1 (sigA) and four group 2 (sigB, sigC, sigD and sigE) sigma factors. The activity of these multiple sigma factors determines the transcriptional program of this bacterium. We wanted to study the role of the group 2 sigma factors in Synechocystis. We have therefore constructed mutants of each of the group 2 sigma factors and investigated their crosstalk. RESULTS: We used quantitative RT-PCR analysis to measure the relative abundance of the sig mRNAs in the four sigma mutants. Our data indicate that a network of mutual transcriptional regulation links the expression of the sigma genes. Accordingly, an environmental stress acting on only one of the sigma factors will indirectly modify the expression of most of the other sigma factors. This was confirmed by the transcriptional analysis of the sig mRNAs as a function of nitrogen starvation. CONCLUSION: Taken together, our observations suggest that the crosstalk regulation between all group 1 and group 2 genes could be important for the adaptation of the bacterium to different environmental and physiological conditions.

Gene Deletion↗

PubMed2005

The glucosyl-1-phosphate transferase WchA (Cap8E) primes the capsular polysaccharide repeat unit biosynthesis of Streptococcus pneumoniae serotype 8.

The gene wchA (cap8E) belongs to the cps8 locus that is involved in biosynthesis of the capsular polysaccharide (CPS) repeat unit (RU) of the virulent Streptococcus pneumoniae serotype 8. We report here the biochemical characterization of the membrane-associated protein WchA (Cap8E), overexpressed in Escherichia coli BL21(DE3)/pLysS. Our results demonstrate that the recombinant enzyme transfers in vitro a glucosyl-1-phosphate from UDP-glucose to an endogenous phosphoryl-polyprenol, thereby priming the RU biosynthetic pathway of S. pneumoniae CPS 8. We also show that the C-terminal half of WchA is the glycosyltransferase domain as observed for the galactosyl-1-phosphate transferase WbaP from Salmonella enterica, previously described to prime the first step of O-antigen biosynthesis. These results demonstrate that WchA plays a prominent function in the capsule biosynthesis and explain the key role it occupies in the pneumococcal capsule variation.

Bacterial Capsules↗

PubMed2005

Validation of qualitative models of genetic regulatory networks by model checking: analysis of the nutritional stress response in Escherichia coli.

MOTIVATION: The modeling and simulation of genetic regulatory networks have created the need for tools for model validation. The main challenges of model validation are the achievement of a match between the precision of model predictions and experimental data, as well as the efficient and reliable comparison of the predictions and observations. RESULTS: We present an approach towards the validation of models of genetic regulatory networks addressing the above challenges. It combines a method for qualitative modeling and simulation with techniques for model checking, and is supported by a new version of the computer tool Genetic Network Analyzer (GNA). The model-validation approach has been applied to the analysis of the network controlling the nutritional stress response in Escherichia coli. AVAILABILITY: GNA and the model of the stress response network are available at http://www-helix.inrialpes.fr/gna.

Bacterial Physiological Phenomena↗

PubMed2004

Long-term experimental evolution in Escherichia coli. XII. DNA topology as a key target of selection.

The genetic bases of adaptation are being investigated in 12 populations of Escherichia coli, founded from a common ancestor and serially propagated for 20,000 generations, during which time they achieved substantial fitness gains. Each day, populations alternated between active growth and nutrient exhaustion. DNA supercoiling in bacteria is influenced by nutritional state, and DNA topology helps coordinate the overall pattern of gene expression in response to environmental changes. We therefore examined whether the genetic controls over supercoiling might have changed during the evolution experiment. Parallel changes in topology occurred in most populations, with the level of DNA supercoiling increasing, usually in the first 2000 generations. Two mutations in the topA and fis genes that control supercoiling were discovered in a population that served as the focus for further investigation. Moving the mutations, alone and in combination, into the ancestral background had an additive effect on supercoiling, and together they reproduced the net change in DNA topology observed in this population. Moreover, both mutations were beneficial in competition experiments. Clonal interference involving other beneficial DNA topology mutations was also detected. These findings define a new class of fitness-enhancing mutations and indicate that the control of DNA supercoiling can be a key target of selection in evolving bacterial populations.

Adaptation, Physiological↗

PubMed2004

Crl, a low temperature-induced protein in Escherichia coli that binds directly to the stationary phase sigma subunit of RNA polymerase.

The alternative sigma factor sigma(S) (RpoS) of Escherichia coli RNA polymerase regulates the expression of stationary phase and stress-response genes. sigma(S) is also required for the transcription of the cryptic genes csgBA that encode the subunits of the curli proteins. The expression of the csgBA genes is regulated in response to a multitude of physiological signals. In stationary phase, these genes are transcribed by the sigma(S) factor, and expression of the operon is enhanced by the small protein Crl. It has been shown that Crl stimulates the activity of sigma(S), leading to an increased transcription rate of a subset of genes of the rpoS regulon in stationary phase. However, the underlying molecular mechanism has remained elusive. We show here that Crl interacts directly with sigma(S) and that this interaction promotes binding of the sigma(S) holoenzyme (Esigma(S)) to the csgBA promoter. Expression of Crl is increased during the transition from growing to stationary phase. Crl accumulates in stationary phase cells at low temperature (30 degrees C) but not at 37 degrees C. We therefore propose that Crl is a second thermosensor, besides DsrA, controlling sigma(S) activity.

Bacterial Proteins↗

PubMed2004

Qualitative simulation of the initiation of sporulation in Bacillus subtilis.

Under conditions of nutrient deprivation, the Gram positive soil bacterium Bacillus subtilis can abandon vegetative growth and form a dormant, environmentally-resistant spore instead. The decision to either divide or sporulate is controlled by a large and complex genetic regulatory network integrating various environmental, cell-cycle, and metabolic signals. Although sporulation in B. subtilis is one of the best-understood model systems for prokaryotic development, very little quantitative data on kinetic parameters and molecular concentrations are available. A qualitative simulation method is used to model the sporulation network and simulate the response of the cell to nutrient deprivation. Using this method, we have been able to reproduce essential features of the choice between vegetative growth and sporulation, in particular the role played by competing positive and negative feedback loops.

Bacillus subtilis↗

PubMed2004

Qualitative simulation of genetic regulatory networks using piecewise-linear models.

In order to cope with the large amounts of data that have become available in genomics, mathematical tools for the analysis of networks of interactions between genes, proteins, and other molecules are indispensable. We present a method for the qualitative simulation of genetic regulatory networks, based on a class of piecewise-linear (PL) differential equations that has been well-studied in mathematical biology. The simulation method is well-adapted to state-of-the-art measurement techniques in genomics, which often provide qualitative and coarse-grained descriptions of genetic regulatory networks. Given a qualitative model of a genetic regulatory network, consisting of a system of PL differential equations and inequality constraints on the parameter values, the method produces a graph of qualitative states and transitions between qualitative states, summarizing the qualitative dynamics of the system. The qualitative simulation method has been implemented in Java in the computer tool Genetic Network Analyzer.

Computer Simulation↗

PubMed2004

Improvement of pCVD442, a suicide plasmid for gene allele exchange in bacteria.

Allelic exchange experiments allow investigation of the functions of many unknown genes identified during the sequencing of entire genomes. Isogenic strains differing by only specific mutations can be constructed. Among other tools, suicide plasmids are widely used for this task. They present many advantages because they leave no scars on the chromosome, and therefore allow combining several mutations in the same genetic background. While using the previously described pCVD442 suicide plasmid [Infect. Immun. 59 (1991) 4310], we found untargeted recombination events due to the presence of an IS1 element on this plasmid. The plasmid was therefore improved by removal of the IS1 element. We also replaced the bla gene of pCVD442, conferring ampicillin resistance, by the cat gene conferring chloramphenicol resistance, leading to the new suicide plasmid pDS132. The plasmid was entirely sequenced. We demonstrate that this new vector can be easily used to introduce various types of mutations into different genetics backgrounds: removal of IS elements, introduction of point mutations or deletions. It can be introduced into bacterial strains by either transformation or conjugation.

Alleles↗

PubMed2003

Genetic Network Analyzer: qualitative simulation of genetic regulatory networks.

MOTIVATION: The study of genetic regulatory networks has received a major impetus from the recent development of experimental techniques allowing the measurement of patterns of gene expression in a massively parallel way. This experimental progress calls for the development of appropriate computer tools for the modeling and simulation of gene regulation processes. RESULTS: We present Genetic Network Analyzer (GNA), a computer tool for the modeling and simulation of genetic regulatory networks. The tool is based on a qualitative simulation method that employs coarse-grained models of regulatory networks. The use of GNA is illustrated by a case study of the network of genes and interactions regulating the initiation of sporulation in Bacillus subtilis. AVAILABILITY: GNA and the model of the sporulation network are available at http://www-helix.inrialpes.fr/gna.

Bacillus subtilis↗