Refine
Document Type
- Doctoral Thesis (2)
- Article (1)
Language
- English (3)
Has Fulltext
- yes (3)
Is part of the Bibliography
- no (3)
Keywords
- SigB (3) (remove)
Institute
Publisher
The general stress response comprises approximately 200 genes and is driven by the alternative sigma factor SigB. Besides the process of sporulation with approximately 500 involved gene products under initial control of Spo0A are the two most significant and extensive cellular responses that can be observed in B. subtilis. The general stress response provides vegetative growing as well as non-growing and non-sporulating cells with a comprehensive cross-protective and preventive multiple stress resistance to various hostile environmental conditions. In contrast, the endospore is the most resistant but also dormant cell type produced by B. subtilis. The scope of this study was the identification of regulatory cascades driven by the general stress response sigma factor SigB to further elucidate the structure and function of the general stress regulon itself and to uncover potential intersections between the SigB response and other major developmental programs in the regulatory network of B. subtilis. It could be shown that the general stress regulon member yqgZ encodes a functional paralogue of Spx, the global regulator of the diamide stress regulon in B. subtilis. Global transcriptome and proteome studies led to the characterization of an YqgZ sub-regulon consisting of 53 positively and 18 negatively regulated genes. Due to its stringent SigB-dependent expression as well as its concerted action with SigB in regulation of its target genes YqgZ was renamed to MgsR which stands for “modulator of the general stress response”. Activity control of MgsR is stringently controlled at multiple levels. In addition to induction by SigB these mechanisms include (i) a positive autoregulatory loop of MgsR on the transcription level of its own structural gene, (ii) a post-translational redox-sensitive activation step by the formation of an intramolecular disulfide-bond within a conserved -CXXC-motif and (iii) rapid proteolytic degradation of MgsR by the ClpCP and ClpXP proteases, resul ting in extremely short in vivo half-lifes below 6 minutes. It was demonstrated that the activation of SigB is a prerequisite but not sufficient for a full expression of all general stress genes and that the SigB-dependent expression of MgsR provides the opportunity for additional redox-sensitive signal-reception, -processing and -integration beyond the primary decision of SigB activation. Our results describe a regulatory cascade integrating secondary oxidative stress signals into a SigB mediated regulatory cascade that is aimed at a precise fine tuning of target gene expression whose products are necessary for proper management of oxidative stress. Although primary oxidative stress stimuli do not typically induce SigB, our observation of redox-sensitive control by MgsR and several other reports that pointed at the implication of the general stress proteins in oxidative stress management led to the proposal that secondary oxidative stress may be a common component of multip le severe physical stress stimuli. This assumption could be supported by the results of a comprehensive phenotype screening of 94 mutants in single general stress genes upon treatment with hydrogen peroxide and the superoxide generating agent paraquat. A substantial amount of 62 mutants (66%) displayed significantly decreased survival rates in response to oxidative stress. The information gained by this phenotypic screening analysis provides a valuable basis for more directed assays to elucidate the biochemical functions of many so far uncharacterized general stress proteins and demonstrates that the SigB response and the regulatory fine tuning by MgsR plays a pivotal role in protection from secondary oxidative stress. Furthermore, it has been intensively discussed throughout the literature of the last years that the general stress response and the process of sporulation may represent mutually exclusive survival strategies of a non-growing B. subtilis cell, but the molecular basis for this assumption was missing until recently. By the identification of a functional SigB-type promoter (PsigB) adjacent to the spo0E, this gene was newly assigned to the general stress regulon. The spo0E gene encodes a phosphatase that specifically inactivates the master regulator of sporulation Spo0A~P by dephosphorylation. The SigB dependent induction of spo0E causes a block of sporulation specific transcription and produces a sporulation deficient phenotype. This effect was overcome by a deletion of the spo0E-SigB promoter, thus clearly addresses SigB activity. This regulatory mechanism is the first example for an integration of SigB inducing stimuli into the decision making process of sporulation initiation that provides a link to interconnect these two dominant and very likely mutually exclusive responses in the regulatory network of B. subtilis. The data presented here provide deeper insights into the structure and function of the general stress regulon in stress management.
Under hyperosmotic conditions, bacteria accumulate compatible solutes through synthesis or import. Bacillus subtilis imports a large set of osmostress protectants via five osmotically controlled transport systems (OpuA to OpuE). Biosynthesis of the particularly effective osmoprotectant glycine betaine requires the exogenous supply of choline. While OpuB is rather specific for choline, OpuC imports a broad spectrum of compatible solutes, including choline and glycine betaine. One previously mapped antisense RNA of B. subtilis, S1290, exhibits strong and transient expression in response to a suddenly imposed salt stress. It covers the coding region of the opuB operon and is expressed from a strictly SigB-dependent promoter. By inactivation of this promoter and analysis of opuB and opuC transcript levels, we discovered a time-delayed osmotic induction of opuB that crucially depends on the S1290 antisense RNA and on the degree of the imposed osmotic stress. Time-delayed osmotic induction of opuB is apparently caused by transcriptional interference of RNA-polymerase complexes driving synthesis of the converging opuB and S1290 mRNAs. When our data are viewed in an ecophysiological framework, it appears that during the early adjustment phase of B. subtilis to acute osmotic stress, the cell prefers to initially rely on the transport activity of the promiscuous OpuC system and only subsequently fully induces opuB. Our data also reveal an integration of osmostress-specific adjustment systems with the SigB-controlled general stress response at a deeper level than previously appreciated.
The soil living, Gram-positive bacterium Bacillus subtilis is frequently exposed to a wide variety of stress and starvation conditions in its natural environment. In order to survive under these environmental and energy stresses, the bacterium acquired a general stress response mechanism mediated by the alternative sigma factor, SigB. A wide-variety of stress conditions such as environmental stress conditions like ethanol stress, heat stress, oxidative stress, osmotic stress or limitation of glucose, oxygen, phosphate etc.; and low temperature growth induce this SigB-dependent general stress response. Though much is known about the mechanisms of activation of this general stress response, the conditions that induce the SigB regulon and its general functions, the definition of the structure of the SigB regulon is not completely clear. The SigB-dependent general stress regulon has previously been characterized by proteomic approaches as well as DNA-array based expression studies. Genome-wide expression studies performed by Price, Petersohn and Helmann defined the SigB regulon containing well above 100 target genes, however the overlapping list of target genes contains only 67 members. The differences between these studies probably result from the different strains, growth conditions, array platforms and experimental setups used in these studies. The first part of this work presents a targeted microarray analysis, which was performed to gain a better understanding of the structure of the general stress regulon. This is the first study analyzing the gene expression of a wild type strain and its isogenic sigB mutant strain for almost all known SigB inducing conditions, using the same array platform. Furthermore, the kinetics of the gene expression of 252 putative SigB-dependent genes and 36 appropriate control genes were recorded. The data were analyzed using Random Forest, a machine-learning algorithm, by incorporating the knowledge of previous studies. Two Random Forest models were designed in this study. The “expression RF” model was designed to identify genes showing expression differences between wild type and sigB mutant and the “kinetic RF” model to identify genes having a SigB-dependent expression kinetic, but is subject to secondary regulators next to SigB influencing their expression in the sigB mutant. The random forest classification using the “expression RF” model identified 166 genes as SigB regulon members based on the expression differences between the wild type and the sigB mutant strain. A variable importance plot showing the impact during the classification process within the “expression RF” could assign a hierarchy to the stress conditions investigated in this study. This hierarchy suggested all the RsbU-dependent environmental stresses to have higher impact on SigB-dependent gene expression compared to the RsbP-dependent energy stresses. The “kinetic RF” model identified 30 additional genes, having additional regulators next to SigB. The SigB dependency of the 30 genes identified by the “kinetic RF” model was validated by screening for SigB promoter motifs within the upstream region of these genes. The hierarchical clustering of the obtained motifs scores with the expression ratios of the SigB regulon members predicted in the current work revealed that only a subset of genes displayed correlation of gene expression values and sequence motifs. As this observation is not true for all sets of genes, it cannot be generalized that gene expression is only correlated with the corresponding motif scores. In total 196 SigB regulon members could be classified by this targeted oligo nucleotide microarray study. The majority of these regulon members were preceded by a putative SigB promoter motif either identified previously or predicted in the current work. The inclusion of the broad range of stress conditions, from environmental stresses to energy limiting conditions enabled a more detailed characterization of the structure of the general stress regulon of B. subtilis. The implementation of machine learning algorithms allowed the prediction with a minimum number of false-positives. In the second part of this work a high resolution tiling array analysis for the majority of growth conditions, stresses and changes in carbon sources supply was exploited for the screening for new SigB targets within already annotated or newly annotated RNA features. Thereby 133 previously un-annotated RNA features, which were completely new, were assigned to the SigB regulon. 50 of these 133 new features encode antisense RNAs which can have potential influence on the transcription / translation of their sense RNAs targets. A set of 282 annotated genes were indentified to be SigB regulon members, comparison with the targeted oligo nucleotide study, 90 genes were newly identified and not known to be SigB-dependent before. The analysis of the expression levels of these genes by k-means clustering revealed a cluster of 32 genes having low induction levels in all SigB-inducing conditions, although the majority of these genes possess a well-conserved SigB promoter motif. However, all these genes are probably subject to the control of regulators other than SigB, which might mask the typical strong SigB-dependent induction in the analyzed stress conditions. The analysis of the expression levels of the SigB regulon under a variety of conditions, revealed the SigB-dependent expression in conditions such as growth on plates, in swarming cells, biofilm formation and growth on glycerol as a carbon source. The possible reason for the induction of the SigB regulon during growth on plates and in swarming cells was supposed to be due to scarcity of the nutrients on plates, e.g. glucose limitation. SigB-dependent genes were likely induced during growth on glycerol due to the oxygen limitation that arose during the growth. However, induction of the SigB regulon during biofilm formation is assumed to be due to the phosphate limitation. The description of these new SigB activating stimuli gains support from the fact that the majority of the SigB-dependent genes were induced under these growth conditions. In addition to the general stress response, B. subtilis cells have stress specific adaptive mechanisms such as osmotic response, which was addressed in the third part of this dissertation. The frequent flooding and drying of the soil triggered osmotic stress, one of the most common stress conditions encountered by soil bacteria. Bacterial cells are equipped with osmo-specific adaptation responses in which specific regulation of a set of genes is used to maintain proper cellular function. It was known from previous studies that a large set of genes were influenced in expression by salt shock as well as growth at high osmolarity. Detailed analysis of the tiling array data revealed 467 differentially regulated newly annotated features during salt shock and 251 newly annotated features that were expressed at a different level during continuous growth at high versus low osmolarity. A comparison of the studies that used the sigB knockout mutant with the tiling array study also provided support for the sigma factor competition in control of the expression of osmo-adaptive genes. The level of induction of specific osmo-adaptive genes was much higher in the sigB mutant strain compared to the wild type strain. Furthermore, the tiling array data revealed a SigB-dependent antisense RNA S1290 upstream of the opuB operon that transports choline to the cell. The presence of this antisense RNA had a potential impact on the transcription of the opuB operon, during salt shock. In agreement with the previous studies, the tiling array data assigned the osmotically regulated proHJ operon to the SigE regulon, with a SigE promoter upstream. In addition, the significantly higher percentage of proline among spore coat proteins also supports the assumption that osmotic synthesis of proline might play a role during the generation of spores. In conclusion, the tiling array data revealed newly annotated RNA features that are regulated during the general stress response as well as the osmotic response of the cell. The current work identifies new conditions that induce the majority of SigB-dependent genes as well as the new features that regulate the osmotically induced genes.