The yvyD gene of Bacillus subtilis is under dual control of sigmaB and sigmaH

Mode of Action and Mechanisms of Resistance to the Unusual Polyglycosylated Thiopeptide Antibiotic Persiathiacin A

Persiathiacin A is a novel thiopeptide antibiotic produced by Actinokineospora species UTMC 2448. It has potent activity against methicillin-resistant Staphylococcus aureus (MRSA) and Mycobacterium tuberculosis. Thiopeptides, including persiathiacin A, exhibit antibacterial activity by inhibiting protein synthesis. In this study, we characterize the mechanism of action of persiathiacin A and investigate how resistance to this antibiotic can emerge. In vitro assays revealed that persiathiacin A inhibits translation elongation, leading to ribosome stalling. Genetic analysis of resistant Bacillus subtilis mutants identified mutations primarily in the rplK gene encoding ribosomal protein L11, which is the binding site for other 26-membered macrocycle-containing thiopeptides. The resistant mutants showed growth impairment and an increased lag time, even in the absence of persiathiacin. Comparative proteomic analysis of a resistant mutant versus the parental strain revealed multiple changes, indicative of negative effects on protein synthesis. Thus, although persiathiacin-resistant mutants can arise readily by the loss of L11 function, it is likely that such mutants would be severely compromised in pathogenesis. Furthermore, bioinformatics analysis identified differences in the key amino acids within the thiopeptide-binding region of L11 in the persiathiacin producer. These probably prevent the antibiotic from associating with its target, providing a mechanism for self-resistance.

Cis-Element Engineering Promotes the Expression of Bacillus subtilis Type I L-Asparaginase and Its Application in Food

Type I L-asparaginase from Bacillus licheniformis Z-1 (BlAase) was efficiently produced and secreted in Bacillus subtilis RIK 1285, but its low yield made it unsuitable for industrial use. Thus, a combined method was used in this study to boost BlAase synthesis in B. subtilis. First, fifteen single strong promoters were chosen to replace the original promoter P43, with PyvyD achieving the greatest BlAase activity (436.28 U/mL). Second, dual-promoter systems were built using four promoters (PyvyD, P43, PaprE, and PspoVG) with relatively high BlAase expression levels to boost BlAase output, with the engine of promoter PaprE-PyvyD reaching 502.11 U/mL. The activity of BlAase was also increased (568.59 U/mL) by modifying key portions of the PaprE-PyvyD promoter. Third, when the ribosome binding site (RBS) sequence of promoter PyvyD was replaced, BlAase activity reached 790.1 U/mL, which was 2.27 times greater than the original promoter P43 strain. After 36 h of cultivation, the BlAase expression level in a 10 L fermenter reached 2163.09 U/mL, which was 6.2 times greater than the initial strain using promoter P43. Moreover, the application potential of BlAase on acrylamide migration in potato chips was evaluated. Results showed that 89.50% of acrylamide in fried potato chips could be removed when combined with blanching and BlAase treatment. These findings revealed that combining transcription and translation techniques are effective strategies to boost recombinant protein output, and BlAase can be a great candidate for controlling acrylamide in food processing.

Transcription regulates ribosome hibernation

Most bacteria are quiescent, typically as a result of nutrient limitation. In order to minimize energy consumption during this potentially prolonged state, quiescent bacteria substantially attenuate protein synthesis, the most energetically costly cellular process. Ribosomes in quiescent bacteria are present as dimers of two 70S ribosomes. Dimerization is dependent on a single protein, hibernation promoting factor (HPF), that binds the ribosome in the mRNA channel. This interaction indicates that dimers are inactive, suggesting that HPF inhibits translation. However, we observe that HPF does not significantly affect protein synthesis in vivo suggesting that dimerization is a consequence of inactivity, not the cause. The HPF-dimer interaction further implies that re-initiation of translation when the bacteria exit quiescence requires dimer resolution. We show that ribosome dimers quickly resolve in the presence of nutrients, and this resolution is dependent on transcription, indicating that mRNA synthesis is required for dimer resolution. Finally, we observe that ectopic HPF expression in growing cells where mRNA is abundant does not significantly affect protein synthesis despite stimulating dimer formation, suggesting that dimerization is dynamic. Thus, the extensive transcription that occurs in response to nutrient availability rapidly re-activates the translational apparatus of a quiescent cell and induces dimer resolution.

Alternative σ Factors Regulate Overlapping as Well as Distinct Stress Response and Metabolic Functions in Listeria monocytogenes under Stationary Phase Stress Condition

Listeria monocytogenes can regulate and fine-tune gene expression, to adapt to diverse stress conditions encountered during foodborne transmission. To further understand the contributions of alternative sigma (σ) factors to the regulation of L. monocytogenes gene expression, RNA-Seq was performed on L. monocytogenes strain 10403S and five isogenic mutants (four strains bearing in-frame null mutations in three out of four alternative σ factor genes, ΔCHL, ΔBHL, ΔBCL, and ΔBCH, and one strain bearing null mutations in all four genes, ΔBCHL), grown to stationary phase. Our data showed that 184, 35, 34, and 20 genes were positively regulated by σ^B, σ^L, σ^H, and σ^C (posterior probability > 0.9 and Fold Change (FC) > 5.0), respectively. Moreover, σ^B-dependent genes showed the highest FC (based on comparisons between the ΔCHL and the ΔBCHL strain), with 44 genes showing an FC > 100; only four σ^L-dependent, and no σ^H- or σ^C-dependent genes showed FC >100. While σ^B-regulated genes identified in this study are involved in stress-associated functions and metabolic pathways, σ^L appears to largely regulate genes involved in a few specific metabolic pathways, including positive regulation of operons encoding phosphoenolpyruvate (PEP)-dependent phosphotransferase systems (PTSs). Overall, our data show that (i) σ^B and σ^L directly and indirectly regulate genes involved in several energy metabolism-related functions; (ii) alternative σ factors are involved in complex regulatory networks and appear to have epistatic effects in stationary phase cells; and (iii) σ^B regulates multiple stress response pathways, while σ^L and σ^H positively regulate a smaller number of specific pathways.

The alarmones (p)ppGpp are part of the heat shock response of Bacillus subtilis

Bacillus subtilis cells are well suited to study how bacteria sense and adapt to proteotoxic stress such as heat, since temperature fluctuations are a major challenge to soil-dwelling bacteria. Here, we show that the alarmones (p)ppGpp, well known second messengers of nutrient starvation, are also involved in the heat stress response as well as the development of thermo-resistance. Upon heat-shock, intracellular levels of (p)ppGpp rise in a rapid but transient manner. The heat-induced (p)ppGpp is primarily produced by the ribosome-associated alarmone synthetase Rel, while the small alarmone synthetases RelP and RelQ seem not to be involved. Furthermore, our study shows that the generated (p)ppGpp pulse primarily acts at the level of translation, and only specific genes are regulated at the transcriptional level. These include the down-regulation of some translation-related genes and the up-regulation of hpf, encoding the ribosome-protecting hibernation-promoting factor. In addition, the alarmones appear to interact with the activity of the stress transcription factor Spx during heat stress. Taken together, our study suggests that (p)ppGpp modulates the translational capacity at elevated temperatures and thereby allows B. subtilis cells to respond to proteotoxic stress, not only by raising the cellular repair capacity, but also by decreasing translation to concurrently reduce the protein load on the cellular protein quality control system.

The conserved theme of ribosome hibernation: from bacteria to chloroplasts of plants

Cells are highly adaptive systems that respond and adapt to changing environmental conditions such as temperature fluctuations or altered nutrient availability. Such acclimation processes involve reprogramming of the cellular gene expression profile, tuning of protein synthesis, remodeling of metabolic pathways and morphological changes of the cell shape. Nutrient starvation can lead to limited energy supply and consequently, remodeling of protein synthesis is one of the key steps of regulation since the translation of the genetic code into functional polypeptides may consume up to 40% of a cell's energy during proliferation. In eukaryotic cells, downregulation of protein synthesis during stress is mainly mediated by modification of the translation initiation factors. Prokaryotic cells suppress protein synthesis by the active formation of dimeric so-called 'hibernating' 100S ribosome complexes. Such a transition involves a number of proteins which are found in various forms in prokaryotes but also in chloroplasts of plants. Here, we review the current understanding of these hibernation factors and elaborate conserved principles which are shared between species.

Ribosome Hibernation

Protein synthesis consumes a large fraction of available resources in the cell. When bacteria encounter unfavorable conditions and cease to grow, specialized mechanisms are in place to ensure the overall reduction of costly protein synthesis while maintaining a basal level of translation. A number of ribosome-associated factors are involved in this regulation; some confer an inactive, hibernating state of the ribosome in the form of 70S monomers (RaiA; this and the following are based on Escherichia coli nomenclature) or 100S dimers (RMF and HPF homologs), and others inhibit translation at different stages in the translation cycle (RsfS, YqjD and paralogs, SRA, and EttA). Stationary phase cells therefore exhibit a complex array of different ribosome subpopulations that adjusts the translational capacity of the cell to the encountered conditions and ensures efficient reactivation of translation when conditions improve. Here, we review the current state of research regarding stationary phase-specific translation factors, in particular ribosome hibernation factors and other forms of translational regulation in response to stress conditions.

Thermal and Nutritional Regulation of Ribosome Hibernation in Staphylococcus aureus

The dimerization of 70S ribosomes (100S complex) plays an important role in translational regulation and infectivity of the major human pathogen Staphylococcus aureus. Although the dimerizing factor HPF has been characterized biochemically, the pathways that regulate 100S ribosome abundance remain elusive. We identified a metabolite- and nutrient-sensing transcription factor, CodY, that serves both as an activator and a repressor of hpf expression in nutrient- and temperature-dependent manners. Furthermore, CodY-mediated activation of hpf masks a secondary hpf transcript derived from a general stress response SigB promoter. CodY and SigB regulate a repertoire of virulence genes. The unexpected link between ribosome homeostasis and the two master virulence regulators provides new opportunities for alternative druggable sites.

The translationally silent 100S ribosome is a poorly understood form of the dimeric 70S complex that is ubiquitously found in all bacterial phyla. The elimination of the hibernating 100S ribosome leads to translational derepression, ribosome instability, antibiotic sensitivity, and biofilm defects in some bacteria. In Firmicutes, such as the opportunistic pathogen Staphylococcus aureus, a 190-amino acid protein called hibernating-promoting factor (HPF) dimerizes and conjoins two 70S ribosomes through a direct interaction between the HPF homodimer, with each HPF monomer tethered on an individual 70S complex. While the formation of the 100S ribosome in gammaproteobacteria and cyanobacteria is exclusively induced during postexponential growth phase and darkness, respectively, the 100S ribosomes in Firmicutes are constitutively produced from the lag-logarithmic phase through the post-stationary phase. Very little is known about the regulatory pathways that control hpf expression and 100S ribosome abundance. Here, we show that a general stress response (GSR) sigma factor (SigB) and a GTP-sensing transcription factor (CodY) integrate nutrient and thermal signals to regulate hpf synthesis in S. aureus, resulting in an enhanced virulence of the pathogen in a mouse model of septicemic infection. CodY-dependent regulation of hpf is strain specific. An epistasis analysis further demonstrated that CodY functions upstream of the GSR pathway in a condition-dependent manner. The results reveal an important link between S. aureus stress physiology, ribosome metabolism, and infection biology.

IMPORTANCE The dimerization of 70S ribosomes (100S complex) plays an important role in translational regulation and infectivity of the major human pathogen Staphylococcus aureus. Although the dimerizing factor HPF has been characterized biochemically, the pathways that regulate 100S ribosome abundance remain elusive. We identified a metabolite- and nutrient-sensing transcription factor, CodY, that serves both as an activator and a repressor of hpf expression in nutrient- and temperature-dependent manners. Furthermore, CodY-mediated activation of hpf masks a secondary hpf transcript derived from a general stress response SigB promoter. CodY and SigB regulate a repertoire of virulence genes. The unexpected link between ribosome homeostasis and the two master virulence regulators provides new opportunities for alternative druggable sites.

Structure of the Bacillus subtilis hibernating 100S ribosome reveals the basis for 70S dimerization

Under stress conditions, such as nutrient deprivation, bacteria enter into a hibernation stage, which is characterized by the appearance of 100S ribosomal particles. In Escherichia coli, dimerization of 70S ribosomes into 100S requires the action of the ribosome modulation factor (RMF) and the hibernation-promoting factor (HPF). Most other bacteria lack RMF and instead contain a long form HPF (LHPF), which is necessary and sufficient for 100S formation. While some structural information exists as to how RMF and HPF mediate formation of E. coli 100S (Ec100S), structural insight into 100S formation by LHPF has so far been lacking. Here we present a cryo-EM structure of the Bacillus subtilis hibernating 100S (Bs100S), revealing that the C-terminal domain (CTD) of the LHPF occupies a site on the 30S platform distinct from RMF Moreover, unlike RMF, the BsHPF-CTD is directly involved in forming the dimer interface, thereby illustrating the divergent mechanisms by which 100S formation is mediated in the majority of bacteria that contain LHPF, compared to some γ-proteobacteria, such as E. coli.

The Interaction Network Ontology-supported modeling and mining of complex interactions represented with multiple keywords in biomedical literature

Background

The Interaction Network Ontology (INO) logically represents biological interactions, pathways, and networks. INO has been demonstrated to be valuable in providing a set of structured ontological terms and associated keywords to support literature mining of gene-gene interactions from biomedical literature. However, previous work using INO focused on single keyword matching, while many interactions are represented with two or more interaction keywords used in combination.

Methods

This paper reports our extension of INO to include combinatory patterns of two or more literature mining keywords co-existing in one sentence to represent specific INO interaction classes. Such keyword combinations and related INO interaction type information could be automatically obtained via SPARQL queries, formatted in Excel format, and used in an INO-supported SciMiner, an in-house literature mining program. We studied the gene interaction sentences from the commonly used benchmark Learning Logic in Language (LLL) dataset and one internally generated vaccine-related dataset to identify and analyze interaction types containing multiple keywords. Patterns obtained from the dependency parse trees of the sentences were used to identify the interaction keywords that are related to each other and collectively represent an interaction type.

Results

The INO ontology currently has 575 terms including 202 terms under the interaction branch. The relations between the INO interaction types and associated keywords are represented using the INO annotation relations: ‘has literature mining keywords’ and ‘has keyword dependency pattern’. The keyword dependency patterns were generated via running the Stanford Parser to obtain dependency relation types. Out of the 107 interactions in the LLL dataset represented with two-keyword interaction types, 86 were identified by using the direct dependency relations. The LLL dataset contained 34 gene regulation interaction types, each of which associated with multiple keywords. A hierarchical display of these 34 interaction types and their ancestor terms in INO resulted in the identification of specific gene-gene interaction patterns from the LLL dataset. The phenomenon of having multi-keyword interaction types was also frequently observed in the vaccine dataset.

Conclusions

By modeling and representing multiple textual keywords for interaction types, the extended INO enabled the identification of complex biological gene-gene interactions represented with multiple keywords.

Electronic supplementary material

The online version of this article (doi:10.1186/s13040-016-0118-0) contains supplementary material, which is available to authorized users.

The comER Gene Plays an Important Role in Biofilm Formation and Sporulation in both Bacillus subtilis and Bacillus cereus

Bacteria adopt alternative cell fates during development. In Bacillus subtilis, the transition from planktonic growth to biofilm formation and sporulation is controlled by a complex regulatory circuit, in which the most important event is activation of Spo0A, a transcription factor and a master regulator for genes involved in both biofilm formation and sporulation. In B. cereus, the regulatory pathway controlling biofilm formation and cell differentiation is much less clear. In this study, we show that a novel gene, comER, plays a significant role in biofilm formation as well as sporulation in both B. subtilis and B. cereus. Mutations in the comER gene result in defects in biofilm formation and a delay in spore formation in the two Bacillus species. Our evidence supports the idea that comER may be part of the regulatory circuit that controls Spo0A activation. comER likely acts upstream of sda, a gene encoding a small checkpoint protein for both sporulation and biofilm formation, by blocking the phosphor-relay and thereby Spo0A activation. In summary, our studies outlined a conserved, positive role for comER, a gene whose function was previously uncharacterized, in the regulation of biofilm formation and sporulation in the two Bacillus species.

Differential proteome and cellular adhesion analyses of the probiotic bacterium Lactobacillus acidophilus NCFM grown on raffinose - an emerging prebiotic

Whole cell and surface proteomes were analyzed together with adhesive properties of the probiotic bacterium Lactobacillus acidophilus NCFM (NCFM) grown on the emerging prebiotic raffinose, exemplifying a synbiotic. Adhesion of NCFM to mucin and intestinal HT-29 cells increased three-fold after culture with raffinose versus glucose, as also visualized by scanning electron microscopy. Comparative proteomics using 2D-DIGE showed 43 unique proteins to change in relative abundance in whole cell lysates from NCFM grown on raffinose compared to glucose. Furthermore, 14 unique proteins in 18 spots of the surface subproteome underwent changes identified by differential 2DE, including elongation factor G, thermostable pullulanase, and phosphate starvation inducible stress-related protein increasing in a range of +2.1 - +4.7 fold. By contrast five known moonlighting proteins decreased in relative abundance by up to -2.4 fold. Enzymes involved in raffinose catabolism were elevated in the whole cell proteome; α-galactosidase (+13.9 fold); sucrose phosphorylase (+5.4 fold) together with metabolic enzymes from the Leloir pathway for galactose utilization and the glycolysis; β-galactosidase (+5.7 fold); galactose (+2.9/+3.1 fold) and fructose (+2.8 fold) kinases. The insights at the molecular and cellular levels contributed to the understanding of the interplay of a synbiotic composed of NCFM and raffinose with the host.

Ribosome dimerization is essential for the efficient regrowth of Bacillus subtilis

Ribosome dimers are a translationally inactive form of ribosomes found in Escherichia coli and many other bacterial cells. In this study, we found that the 70S ribosomes of Bacillus subtilis dimerized during the early stationary phase and these dimers remained in the cytoplasm until regrowth was initiated. Ribosome dimerization during the stationary phase required the hpf gene, which encodes a homologue of the E. coli hibernation-promoting factor (Hpf). The expression of hpf was induced at an early stationary phase and its expression was observed throughout the rest of the experimental period, including the entire 6 h of the stationary phase. Ribosome dimerization followed the induction of hpf in WT cells, but the dimerization was impaired in cells harbouring a deletion in the hpf gene. Although the absence of ribosome dimerization in these Hpf-deficient cells did not affect their viability in the stationary phase, their ability to regrow from the stationary phase decreased. Thus, following the transfer of stationary-phase cells to fresh LB medium, Δhpf mutant cells grew slower than WT cells. This observed lag in growth of Δhpf cells was probably due to a delay in restoring their translational activity. During regrowth, the abundance of ribosome dimers in WT cells decreased with a concomitant increase in the abundance of 70S ribosomes and growth rate. These results suggest that the ribosome dimers, by providing 70S ribosomes to the cells, play an important role in facilitating rapid and efficient regrowth of cells under nutrient-rich conditions.

The Listeria monocytogenes hibernation-promoting factor is required for the formation of 100S ribosomes, optimal fitness, and pathogenesis

During exposure to certain stresses, bacteria dimerize pairs of 70S ribosomes into translationally silent 100S particles in a process called ribosome hibernation. Although the biological roles of ribosome hibernation are not completely understood, this process appears to represent a conserved and adaptive response that contributes to optimal survival during stress and post-exponential-phase growth. Hibernating ribosomes are formed by the activity of one or more highly conserved proteins; gammaproteobacteria produce two relevant proteins, ribosome modulation factor (RMF) and hibernation promoting factor (HPF), while most Gram-positive bacteria produce a single, longer HPF protein. Here, we report the formation of 100S ribosomes by an HPF homolog in Listeria monocytogenes. L. monocytogenes 100S ribosomes were observed by sucrose density gradient centrifugation of bacterial extracts during mid-logarithmic phase, peaked at the transition to stationary phase, and persisted at lower levels during post-exponential-phase growth. 100S ribosomes were undetectable in bacteria carrying an hpf::Himar1 transposon insertion, indicating that HPF is required for ribosome hibernation in L. monocytogenes. Additionally, epitope-tagged HPF cosedimented with 100S ribosomes, supporting its previously described direct role in 100S formation. We examined hpf mRNA by quantitative PCR (qPCR) and identified several conditions that upregulated its expression, including carbon starvation, heat shock, and exposure to high concentrations of salt or ethanol. Survival of HPF-deficient bacteria was impaired under certain conditions both in vitro and during animal infection, providing evidence for the biological relevance of 100S ribosome formation.

The CcpA regulon of Streptococcus suis reveals novel insights into the regulation of the streptococcal central carbon metabolism by binding of CcpA to two distinct binding motifs

Streptococcus suis (S. suis) is a neglected zoonotic streptococcus causing fatal diseases in humans and in pigs. The transcriptional regulator CcpA (catabolite control protein A) is involved in the metabolic adaptation to different carbohydrate sources and virulence of S. suis and other pathogenic streptococci. In this study, we determined the DNA binding characteristics of CcpA and identified the CcpA regulon during growth of S. suis. Electrophoretic mobility shift analyses showed promiscuous DNA binding of CcpA to cognate cre sites in vitro. In contrast, sequencing of immunoprecipitated chromatin revealed two specific consensus motifs, a pseudo-palindromic cre motif (WWGAAARCGYTTTCWW) and a novel cre2 motif (TTTTYHWDHHWWTTTY), within the regulatory elements of the genes directly controlled by CcpA. Via these elements CcpA regulates expression of genes involved in carbohydrate uptake and conversion, and in addition in important metabolic pathways of the central carbon metabolism, like glycolysis, mixed-acid fermentation, and the fragmentary TCA cycle. Furthermore, our analyses provide evidence that CcpA regulates the genes of the central carbon metabolism by binding either the pseudo-palindromic cre motif or the cre2 motif in a HPr(Ser)∼P independent conformation.

Conservation of two distinct types of 100S ribosome in bacteria

In bacteria, 70S ribosomes (consisting of 30S and 50S subunits) dimerize to form 100S ribosomes, which were first discovered in Escherichia coli. Ribosome modulation factor (RMF) and hibernation promoting factor (HPF) mediate this dimerization in stationary phase. The 100S ribosome is translationally inactive, but it dissociates into two translationally active 70S ribosomes after transfer from starvation to fresh medium. Therefore, the 100S ribosome is called the 'hibernating ribosome'. The gene encoding RMF is found widely throughout the Gammaproteobacteria class, but is not present in any other bacteria. In this study, 100S ribosome formation in six species of Gammaproteobacteria and eight species belonging to other bacterial classes was compared. There were several marked differences between the two groups: (i) Formation of 100S ribosomes was mediated by RMF and short HPF in Gammaproteobacteria species, similar to E. coli, whereas it was mediated only by long HPF in the other bacterial species; (ii) RMF/short HPF-mediated 100S ribosome formation occurred specifically in stationary phase, whereas long HPF-mediated 100S ribosome formation occurred in all growth phases; and (iii) 100S ribosomes formed by long HPF were much more stable than those formed by RMF and short HPF.

Expression of a small (p)ppGpp synthetase, YwaC, in the (p)ppGpp(0) mutant of Bacillus subtilis triggers YvyD-dependent dimerization of ribosome

To elucidate the biological functions of small (p)ppGpp synthetases YjbM and YwaC of Bacillus subtilis, we constructed RIK1059 and RIK1066 strains carrying isopropyl-β-D-thiogalactopyranoside (IPTG) inducible yjbM and ywaC genes, respectively, in the ΔrelA ΔyjbM ΔywaC triple mutant background. While the uninduced and IPTG-induced RIK1059 cells grew similarly in LB medium, the growth of RIK1066 cells was arrested following the addition of IPTG during the early exponential growth phase. Induction of YwaC expression by IPTG also severely decreased the intracellular GTP level and drastically altered the transcriptional profile in RIK1066 cells. Sucrose density gradient centrifugation analysis of the ribosomal fractions prepared from the IPTG-induced RIK1066 cells revealed three peaks corresponding to 30S, 50S, and 70S ribosome particles, and also an extra peak. Electron microscope studies revealed that the extra peak fraction contained dimers of 70S ribosomes, which were similar to the Escherichia coli 100S ribosomes. Proteomic analysis revealed that the 70S dimer contained an extra protein, YvyD, in addition to those found in the 70S ribosome. Accordingly, strain resulting from the disruption of the yvyD gene in the RIK1066 cells was unable to form 70S dimers following IPTG induction, indicating that YvyD is required for the formation of these dimers in B. subtilis.

Global analysis of the Staphylococcus aureus response to mupirocin

In the present study, we analyzed the response of S. aureus to mupirocin, the drug of choice for nasal decolonization. Mupirocin selectively inhibits the bacterial isoleucyl-tRNA synthetase (IleRS), leading to the accumulation of uncharged isoleucyl-tRNA and eventually the synthesis of (p)ppGpp. The alarmone (p)ppGpp induces the stringent response, an important global transcriptional and translational control mechanism that allows bacteria to adapt to nutritional deprivation. To identify proteins with an altered synthesis pattern in response to mupirocin treatment, we used the highly sensitive 2-dimensional gel electrophoresis technique in combination with mass spectrometry. The results were complemented by DNA microarray, Northern blot, and metabolome analyses. Whereas expression of genes involved in nucleotide biosynthesis, DNA metabolism, energy metabolism, and translation was significantly downregulated, expression of isoleucyl-tRNA synthetase, the branched-chain amino acid pathway, and genes with functions in oxidative-stress resistance (ahpC and katA) and putative roles in stress protection (the yvyD homologue SACOL0815 and SACOL1759 and SACOL2131) and transport processes was increased. A comparison of the regulated genes to known regulons suggests the involvement of the global regulators CodY and SigB in shaping the response of S. aureus to mupirocin. Of particular interest was the induced transcription of genes encoding virulence-associated regulators (i.e., arlRS, saeRS, sarA, sarR, sarS, and sigB), as well as genes directly involved in the virulence of S. aureus (i.e., fnbA, epiE, epiG, and seb).

Defining the structure of the general stress regulon of Bacillus subtilis using targeted microarray analysis and random forest classification

The structure of the SigB-dependent general stress regulon of Bacillus subtilis has previously been characterized by proteomics approaches as well as DNA array-based expression studies. However, comparing the SigB targets published in three previous major transcriptional profiling studies it is obvious that although each of them identified well above 100 target genes, only 67 were identified in all three studies. These substantial differences can likely be attributed to the different strains, growth conditions, microarray platforms and experimental setups used in the studies. In order to gain a better understanding of the structure of this important regulon, a targeted DNA microarray analysis covering most of the known SigB-inducing conditions was performed, and the changes in expression kinetics of 252 potential members of the SigB regulon and appropriate control genes were recorded. Transcriptional data for the B. subtilis wild-type strain 168 and its isogenic sigB mutant BSM29 were analysed using random forest, a machine learning algorithm, by incorporating the knowledge from previous studies. This analysis revealed a strictly SigB-dependent expression pattern for 166 genes following ethanol, butanol, osmotic and oxidative stress, low-temperature growth and heat shock, as well as limitation of oxygen or glucose. Kinetic analysis of the data for the wild-type strain identified 30 additional members of the SigB regulon, which were also subject to control by additional transcriptional regulators, thus displaying atypical SigB-independent induction patterns in the mutant strain under some of the conditions tested. For 19 of these 30 SigB regulon members, published reports support control by secondary regulators along with SigB. Thus, this microarray-based study assigns a total of 196 genes to the SigB-dependent general stress regulon of B. subtilis.

Transcriptomic and phenotypic analyses identify coregulated, overlapping regulons among PrfA, CtsR, HrcA, and the alternative sigma factors sigmaB, sigmaC, sigmaH, and sigmaL in Listeria monocytogenes

A set of seven Listeria monocytogenes 10403S mutant strains, each bearing an in-frame null mutation in a gene encoding a key regulatory protein, was used to characterize transcriptional networks in L. monocytogenes; the seven regulatory proteins addressed include all four L. monocytogenes alternative sigma factors (σ(B), σ(C), σ(H), and σ(L)), the virulence gene regulator PrfA, and the heat shock-related negative regulators CtsR and HrcA. Whole-genome microarray analyses, used to identify regulons for each of these 7 transcriptional regulators, showed considerable overlap among regulons. Among 188 genes controlled by more than one regulator, 176 were coregulated by σ(B), including 92 genes regulated by both σ(B) and σ(H) (with 18 of these genes coregulated by σ(B), σ(H), and at least one additional regulator) and 31 genes regulated by both σ(B) and σ(L) (with 10 of these genes coregulated by σ(B), σ(L), and at least one additional regulator). Comparative phenotypic characterization measuring acid resistance, heat resistance, intracellular growth in J774 cells, invasion into Caco-2 epithelial cells, and virulence in the guinea pig model indicated contributions of (i) σ(B) to acid resistance, (ii) CtsR to heat resistance, and (iii) PrfA, σ(B), and CtsR to virulence-associated characteristics. Loss of the remaining transcriptional regulators (i.e., sigH, sigL, or sigC) resulted in limited phenotypic consequences associated with stress survival and virulence. Identification of overlaps among the regulons provides strong evidence supporting the existence of complex regulatory networks that appear to provide the cell with regulatory redundancies, along with the ability to fine-tune gene expression in response to rapidly changing environmental conditions.

Formation of 100S ribosomes in Staphylococcus aureus by the hibernation promoting factor homolog SaHPF

In the stationary growth phase of Escherichia coli, the 70S ribosomes are dimerized by the ribosome modulation factor (RMF) and hibernation promoting factor (HPF) proteins to form 100S ribosomes, which lose translational activity. In this study we found 100S ribosomes in the gram-positive bacterium Staphylococcus aureus, which has an HPF homolog (named SaHPF) but no RMF homolog. Unlike in E. coli, 100S ribosomes exist in all growth phases of S. aureus, with the highest levels at the transition from the exponential phase to the stationary phase. To find the key factors involved in 100S formation, we analyzed proteins associated with crude ribosomes using radical-free and highly reducing 2-D PAGE and MALDI TOF/MS. Only the SaHPF levels changed in parallel with the changes in 100S levels. SaHPF bound preferentially to 70S components in 100S ribosomes, with a molar ratio of 1 : 1 relative to the 70S, but some SaHPF was also detected in free 70S ribosomes. High-salt washing of the crude ribosomes released SaHPF and dissociated the 100S ribosomes to their 70S components. When these 70S components were incubated with purified SaHPF in vitro, they re-associated to form 100S. These results suggest that SaHPF is a key protein involved in 100S ribosome formation in S. aureus.

Time-resolved transcriptome analysis of Bacillus subtilis responding to valine, glutamate, and glutamine

Microorganisms can restructure their transcriptional output to adapt to environmental conditions by sensing endogenous metabolite pools. In this paper, an Agilent customized microarray representing 4,106 genes was used to study temporal transcript profiles of Bacillus subtilis in response to valine, glutamate and glutamine pulses over 24 h. A total of 673, 835, and 1135 amino-acid-regulated genes were identified having significantly changed expression at one or more time points in response to valine, glutamate, and glutamine, respectively, including genes involved in cell wall, cellular import, metabolism of amino-acids and nucleotides, transcriptional regulation, flagellar motility, chemotaxis, phage proteins, sporulation, and many genes of unknown function. Different amino acid treatments were compared in terms of both the global temporal profiles and the 5-minute quick regulations, and between-experiment differential genes were identified. The highlighted genes were analyzed based on diverse sources of gene functions using a variety of computational tools, including T-profiler analysis, and hierarchical clustering. The results revealed the common and distinct modes of action of these three amino acids, and should help to elucidate the specific signaling mechanism of each amino acid as an effector.

Physiological proteomics and stress/starvation responses in Bacillus subtilis and Staphylococcus aureus

Gel-based proteomics is a useful approach for visualizing the responses of bacteria to stress and starvation stimuli. In order to face stress/starvation, bacteria have developed very complicated gene expression networks. A proteomic view of stress/starvation responses, however, is only a starting point which should promote follow-up studies aimed at the comprehensive description of single regulons, their signal transduction pathways on the one hand, and their adaptive functions on the other, and finally their integration into complex gene expression networks. This "road map of physiological proteomics" will be demonstrated for the general stress regulon controlled by sigma(B) in Bacillus subtilis and the oxygen starvation response with Rex as a master regulator in Staphylococcus aureus.

Proteomic analysis of antioxidant strategies of Staphylococcus aureus: diverse responses to different oxidants

The high resolution 2-D protein gel electrophoresis technique combined with MALDI-TOF MS and a recently developed fluorescence-based thiol modification assay were used to investigate the cellular response of Staphylococcus aureus to oxidative stress. Addition of hydrogen peroxide, diamide, and the superoxide generating agent paraquat to exponentially growing cells revealed complex changes in the protein expression pattern. In particular, proteins involved in detoxification, repair systems, and intermediary metabolism were found to be up-regulated. Interestingly, there is only a small overlap of proteins induced by all these stressors. Exposure to hydrogen peroxide mediated a significant increase of DNA repair enzymes, whereas treatment with diamide affected proteins involved in protein repair and degradation. The activity of proteins under oxidative stress conditions can be modulated by oxidation of thiol groups. In growing cells, protein thiols were found to be mainly present in the reduced state. Diamide mediated a strong increase of reversibly oxidized thiols in a variety of metabolic enzymes. By contrast, hydrogen peroxide resulted in the reversible oxidation especially of proteins with active site cysteines. Moreover, high levels of hydrogen peroxide influenced the pI of three proteins containing cysteines within their active sites (GapA1, AhpC, and HchA) indicating the generation of sulfinic or sulfonic acid by irreversible oxidation of thiols.

Nitric oxide stress induces different responses but mediates comparable protein thiol protection in Bacillus subtilis and Staphylococcus aureus

The nonpathogenic Bacillus subtilis and the pathogen Staphylococcus aureus are gram-positive model organisms that have to cope with the radical nitric oxide (NO) generated by nitrite reductases of denitrifying bacteria and by the inducible NO synthases of immune cells of the host, respectively. The response of both microorganisms to NO was analyzed by using a two-dimensional gel approach. Metabolic labeling of the proteins revealed major changes in the synthesis pattern of cytosolic proteins after the addition of the NO donor MAHMA NONOate. Whereas B. subtilis induced several oxidative stress-responsive regulons controlled by Fur, PerR, OhrR, and Spx, as well as the general stress response controlled by the alternative sigma factor SigB, the more resistant S. aureus showed an increased synthesis rate of proteins involved in anaerobic metabolism. These data were confirmed by nuclear magnetic resonance analyses indicating that NO causes a drastically higher increase in the formation of lactate and butanediol in S. aureus than in B. subtilis. Monitoring the intracellular protein thiol state, we observed no increase in reversible or irreversible protein thiol modifications after NO stress in either organism. Obviously, NO itself does not cause general protein thiol oxidations. In contrast, exposure of cells to NO prior to peroxide stress diminished the irreversible thiol oxidation caused by hydrogen peroxide.

Regulation of osmoadaptation in the moderate halophile Halobacillus halophilus: chloride, glutamate and switching osmolyte strategies

The moderate halophile Halobacillus halophilus is the paradigm for chloride dependent growth in prokaryotes. Recent experiments shed light on the molecular basis of the chloride dependence that is reviewed here. In the presence of moderate salinities Halobacillus halophilus mainly accumulates glutamine and glutamate to adjust turgor. The transcription of glnA2 (encoding a glutamine synthetase) as well as the glutamine synthetase activity were identified as chloride dependent steps. Halobacillus halophilus switches its osmolyte strategy and produces proline as the main compatible solute at high salinities. Furthermore, Halobacillus halophilus also shifts its osmolyte strategy at the transition from the exponential to the stationary phase where proline is exchanged by ectoine. Glutamate was found as a "second messenger" essential for proline production. This observation leads to a new model of sensing salinity by sensing the physico-chemical properties of different anions.

Role of HPF (hibernation promoting factor) in translational activity in Escherichia coli

During the stationary phase of growth in Escherichia coli, ribosome modulation factor (RMF) and hibernation promoting factor (HPF) dimerize most 70S ribosomes to form 100S ribosomes. The process of 100S formation has been termed 'ribosomal hibernation'. Here, the contributions of HPF to 100S formation and translation were analysed in vitro. HPF bound to, but did not dimerize the 70S ribosome. RMF dimerized and formed immature 90S ribosomes. Binding of both HPF and RMF converted 90S ribosomes to mature 100S ribosomes, which is consistent with the in vivo data. The role of HPF in in vitro translation also was investigated. In an artificial mRNA poly (U)-dependent phenylalanine incorporation assay, HPF bound to ribosomal particles and inhibited translation. In contrast, in a natural MS2 mRNA-dependent leucine incorporation assay, bound HPF was removed and hardly inhibited normal translation. Multiple alignment and phylogenetic analyses indicates that the hibernation system mediated by the HPF homologue, RMF and 100S ribosome formation may be specific to the proteobacteria gamma group. In contrast, most bacteria have at least one HPF homologue, and these homologues can be classified into three types, long HPF, short HPF and YfiA.

Protein synthesis in lactic acid and pathogenic bacteria during recovery from a high pressure treatment

Recovery of injured bacteria after high hydrostatic pressure (HHP) treatment is a key point in food safety. In this study, protein synthesis during the recovery of meat environment bacteria Listeria monocytogenes CTC1011, Lactobacillus sakei 23K, L. sakei CTC494, Enterococcus faecalis CTC6365 and Enterococcus faecium CTC6375 after a 400 MPa HHP treatment was analyzed by two-dimensional gel electrophoresis and peptide mass fingerprinting. After 2 h recovery from HHP treatment, the four species induced transcription factors and proteins related to protein synthesis or fate and enzymes from energy metabolism. However, several stress proteins were specifically induced in the two L. sakei strains. Proteins from the general metabolism predominated in E. faecalis and E. faecium, and stress proteins and proteases predominated in L. monocytogenes. Thus, each species induced a different number of proteins and displayed a specific response which may reflect its specific fitness status.

Proteomic study of the Bacillus subtilis ribosome: Finding of zinc-dependent replacement for ribosomal protein L31 paralogues

Recent advanced studies of genomics and proteomics have revealed the variation and diversity of ribosomal proteins (r-proteins) in different organisms and organelles. Radical free and highly reducing (RFHR) two-dimensional (2-D) electrophoresis is known to be powerful for separating ribosomal proteins that are usually small and basic, and not separated well by standard 2-D electrophoresis. Using the RFHR method, we investigated the protein profile of the Bacillus subtilis ribosomes by a proteomic approach. We found that two L31 paralogue proteins (RpmE and YtiA) showed different temporal expression patterns in the ribosomes. The RpmE protein, which is an L31 variant with a Zn-binding motif, binds one zinc ion at the motif, which is required for stabilization of the protein in the cell. On the other hand, the expression of the ytiA gene, which encodes another L31 variant (YtiA) without the Zn-binding motif, is negatively controlled by the zinc-specific transcriptional repressor Zur and is likely induced by zinc starvation. This article reviews the recent findings that replacement of two types of L31 proteins in the ribosome is controlled by the intracellular zinc concentration.

Global Gene Expression Profiling of Bacillus subtilis in Response to Ammonium and Tryptophan Starvation as Revealed by Transcriptome and Proteome Analysis

The global gene expression profile of Bacillus subtilis in response to ammonium and tryptophan starvation was analyzed using transcriptomics and proteomics which gained novel insights into these starvation responses. The results demonstrate that both starvation conditions induce specific, overlapping and general starvation responses. The TnrA regulon, the glutamine synthetase (glnA) as well as the sigma(L)-dependent bkd and roc operons were most strongly and specifically induced after ammonium starvation. These are involved in the uptake and utilization of ammonium and alternative nitrogen sources such as amino acids, gamma-aminobutyrate, nitrate/nitrite, uric acid/urea and oligopeptides. In addition, several carbon catabolite-controlled genes (e.g. acsA, citB), the alpha-acetolactate synthase/-decarboxylase alsSD operon and several aminotransferase genes were specifically induced after ammonium starvation. The induction of sigma(F)- and sigma(E)-dependent sporulation proteins at later time points in ammonium-starved cells was accompanied by an increased sporulation frequency. The specific response to tryptophan starvation includes the TRAP-regulated tryptophan biosynthesis genes, some RelA-dependent genes (e.g. adeC, ald) as well as spo0E. Furthermore, we recognized overlapping responses between ammonium and tryptophan starvation (e.g. dat, maeN) as well as the common induction of the CodY and sigma(H) general starvation regulons and the RelA-dependent stringent response. Many genes encoding proteins of so far unknown functions could be assigned to specifically or commonly induced genes.

Proteome signatures for stress and starvation inBacillus subtilis as revealed by a 2-D gel image color coding approach

In this paper we have defined proteome signatures of Bacillus subtilis in response to heat, salt, peroxide, and superoxide stress as well as after starvation for ammonium, tryptophan, glucose, and phosphate using the 2-D gel-based approach. In total, 79 stress-induced and 155 starvation-induced marker proteins were identified including 50% that are not expressed in the vegetative proteome. Fused proteome maps and a color coding approach have been used to define stress-specific regulons that are involved in specific adaptative functions (HrcA for heat, PerR and Fur for oxidative stress, RecA for peroxide, CymR and S-box for superoxide stress). In addition, starvation-specific regulons are defined that are involved in the uptake or utilization of alternative nutrient sources (TnrA, sigmaL/BkdR for ammonium; tryptophan-activated RNA-binding attenuation protein for tryptophan; CcpA, CcpN, sigmaL/AcoR for glucose; PhoPR for phosphate starvation). The general stress or starvation proteome signatures include the CtsR, Spx, sigmaL/RocR, sigmaB, sigmaH, CodY, sigmaF, and sigmaE regulons. Among these, the Spx-dependent oxidase NfrA was induced by all stress conditions indicating stress-induced protein damages. Finally, a subset of sigmaH-dependent proteins (sporulation response regulator, YvyD, YtxH, YisK, YuxI, YpiB) and the CodY-dependent aspartyl phosphatase RapA were defined as general starvation proteins that indicate the transition to stationary phase caused by starvation.

Genome-wide transcriptional analysis of the phosphate starvation stimulon of Bacillus subtilis

Bacillus subtilis responds to phosphate starvation stress by inducing the PhoP and SigB regulons. While the PhoP regulon provides a specific response to phosphate starvation stress, maximizing the acquisition of phosphate (P(i)) from the environment and reducing the cellular requirement for this essential nutrient, the SigB regulon provides nonspecific resistance to stress by protecting essential cellular components, such as DNA and membranes. We have characterized the phosphate starvation stress response of B. subtilis at a genome-wide level using DNA macroarrays. A combination of outlier and cluster analyses identified putative new members of the PhoP regulon, namely, yfkN (2',3' cyclic nucleotide 2'-phosphodiesterase), yurI (RNase), yjdB (unknown), and vpr (extracellular serine protease). YurI is thought to be responsible for the nonspecific degradation of RNA, while the activity of YfkN on various nucleotide phosphates suggests that it could act on substrates liberated by YurI, which produces 3' or 5' phosphoribonucleotides. The putative new PhoP regulon members are either known or predicted to be secreted and are likely to be important for the recovery of inorganic phosphate from a variety of organic sources of phosphate in the environment.

Genome-wide mRNA profiling in glucose starved Bacillus subtilis cells

In this study global changes in gene expression were monitored in Bacillus subtilis cells entering stationary growth phase owing to starvation for glucose. Gene expression was analysed in growing and starving cells at different time points by full-genome mRNA profiling using DNA macroarrays. During the transition to stationary phase we observed extensive reprogramming of gene expression, with approximately 1,000 genes being strongly repressed and approximately 900 strongly up-regulated in a time-dependent manner. The genes involved in the response to glucose starvation can be assigned to two main classes: (i) general stress/starvation genes which respond to various stress or starvation stimuli, and (ii) genes that respond specifically to starvation for glucose. The first class includes members of the sigma(B)-dependent general stress regulon, as well as 90 vegetative genes, which are strongly down regulated in the course of the stringent response. Among the genes in the second class, we observed a decrease in the expression of genes encoding proteins required for glucose uptake, glycolysis and the tricarboxylic acid cycle. Conversely, many carbohydrate utilisation systems that depend on phosphotransferase systems (PTS) or ABC transporters were activated. The expression of genes required for utilisation or generation of acetate indicates that acetate constitutes an important energy source for B. subtilis during periods of glucose starvation. Finally, genome wide mRNA profiling data can be used to predict new metabolic pathways in B. subtilis. Thus, our data suggest that glucose-starved cells are able to degrade branched-chain fatty acids to pyruvate and succinate via propionyl-CoA using the methylcitrate pathway. This pathway appears to link lipid degradation to gluconeogenesis in glucose-starved cells.

Towards a comprehensive understanding ofBacillus subtiliscell physiology by physiological proteomics

Using Bacillus subtilis as a model system for functional genomics, this review will provide insights how proteomics can be used to bring the virtual life of genes to the real life of proteins. Physiological proteomics will generate a new and broad understanding of cellular physiology because the majority of proteins synthesized in the cell can be visualized. From a physiological point of view two major proteome fractions can be distinguished: proteomes of growing cells and proteomes of nongrowing cells. In the main analytical window almost 50% of the vegetative proteome expressed in growing cells of B. subtilis were identified. This proteomic view of growing cells can be employed for analyzing the regulation of entire metabolic pathways and thus opens the chance for a comprehensive understanding of metabolism and growth processes of bacteria. Proteomics, on the other hand, is also a useful tool for analyzing the adaptational network of nongrowing cells that consists of several partially overlapping regulation groups induced by stress/starvation stimuli. Furthermore, proteomic signatures for environmental stimuli can not only be applied to predict the physiological state of cells, but also offer various industrial applications from fermentation monitoring up to the analysis of the mode of action of drugs. Even if DNA array technologies currently provide a better overview of the gene expression profile than proteome approaches, the latter address biological problems in which they can not be replaced by mRNA profiling procedures. This proteomics of the second generation is a powerful tool for analyzing global control of protein stability, the protein interaction network, protein secretion or post-translational modifications of proteins on the way towards the elucidation of the mystery of life.

Zinc is a key factor in controlling alternation of two types of L31 protein in the Bacillus subtilis ribosome

We have analysed changes in the composition of ribosomal proteins during cell growth in Bacillus subtilis. Ribosome fractions were prepared from B. subtilis cells at different phases of growth and were separated by radical-free and highly reducing (RFHR) two-dimensional polyacrylamide gel electrophoresis. We identified 50 ribosomal proteins, including two paralogues of L31 protein (RpmE and YtiA). Although the ribosome fraction extracted from exponentially growing cells contained RpmE protein, this protein disappeared during the stationary phase. In contrast, YtiA was detected in the ribosome fraction extracted after the end of exponential growth. Expression of the ytiA gene encoding YtiA was found to be negatively controlled by Zur, a zinc-specific transcriptional repressor that controls zinc transport operons. Analysis by inductively coupled plasma mass spectrometry (ICP-MS) indicated that RpmE contains one zinc ion per molecule of protein. In addition, mutagenesis of the rpmE gene encoding RpmE revealed that Cys-36 and Cys-39, located within a CxxC motif, are required not only for binding zinc but also for the accumulation of RpmE in the cell. Taken together, these results indicate that zinc plays an essential role in the alternation between two types of L31 protein in the ribosome of B. subtilis.

Bacillus subtilis during feast and famine: visualization of the overall regulation of protein synthesis during glucose starvation by proteome analysis

Dual channel imaging and warping of two-dimensional (2D) protein gels were used to visualize global changes of the gene expression patterns in growing Bacillus subtilis cells during entry into the stationary phase as triggered by glucose exhaustion. The 2D gels only depict single moments during the cells' growth cycle, but a sequential series of overlays obtained at specific points of the growth curve facilitates visualization of the developmental processes at the proteomics scale. During glucose starvation a substantial reprogramming of the protein synthesis pattern was found, with 150 proteins synthesized de novo and cessation of the synthesis of almost 400 proteins. Proteins induced following glucose starvation belong to two main regulation groups: general stress/starvation responses induced by different stresses or starvation stimuli (sigma(B)-dependent general stress regulon, stringent response, sporulation), and glucose-starvation-specific responses (drop in glycolysis, utilization of alternative carbon sources, gluconeogenesis). Using the dual channel approach, it was not only possible to identify those regulons or stimulons, but also to follow the fate of each single protein by the three-color code: red, newly induced but not yet accumulated; yellow, synthesized and accumulated; and green, still present, but no longer being synthesized. These green proteins, which represent a substantial part of the protein pool in the nongrowing cell, are not accessible by using DNA arrays. The combination of 2D gel electrophoresis and MALDI TOF mass spectrometry with the dual channel imaging technique provides a new and comprehensive view of the physiology of growing or starving bacterial cell populations, here for the case of the glucose-starvation response.

Chloride, a new environmental signal molecule involved in gene regulation in a moderately halophilic bacterium, Halobacillus halophilus

The gram-positive, aerobic, moderately halophilic bacterium Halobacillus halophilus is challenged in its environment by frequently changing salt (NaCl) concentrations. Recently, H. halophilus was shown to be the first prokaryote that is dependent on Cl(-) for growth. In a search for the biological function of Cl(-) in this prokaryote, we identified different Cl(-)-dependent processes, which suggests a more general role for Cl(-) in the metabolism of H. halophilus. To analyze the effect of Cl(-) in more detail, we concentrated on one model system, the Cl(-)-dependent production of flagella, and aimed to identify the molecular basis for the Cl(-) dependence of flagellum production. Here, we report that synthesis of the major subunit of the flagellum, FliC, is dependent on the Cl(-) concentration of the medium, as determined by Western blot analyses. The gene encoding FliC was cloned and sequenced, and Northern blot as well as reverse transcriptase PCR analyses revealed that expression of fliC is Cl(-) dependent. FliC is the first protein of known function demonstrated to be synthesized in a Cl(-)-dependent manner in a prokaryote. Two-dimensional gel electrophoresis of cells grown under different conditions revealed five more Cl(-)-induced proteins; these were identified by N-terminal sequencing and database searches to be orthologs of proteins involved in stress response in Bacillus subtilis. The data indicate that Cl(-) is an important environmental signal in this moderate halophile and regulates protein synthesis and gene expression. Furthermore, the data may suggest that Cl(-) plays a role in the signal transduction involved in salt perception by this bacterium.

Genome-wide analysis of the stationary-phase sigma factor (sigma-H) regulon of Bacillus subtilis

Sigma-H is an alternative RNA polymerase sigma factor that directs the transcription of many genes that function at the transition from exponential growth to stationary phase in Bacillus subtilis. Twenty-three promoters, which drive transcription of 33 genes, are known to be recognized by sigma-H-containing RNA polymerase. To identify additional genes under the control of sigma-H on a genome-wide basis, we carried out transcriptional profiling experiments using a DNA microarray containing >99% of the annotated B. subtilis open reading frames. In addition, we used a bioinformatics-based approach aimed at the identification of promoters recognized by RNA polymerase containing sigma-H. This combination of approaches was successful in confirming most of the previously described sigma-H-controlled genes. In addition, we identified 26 putative promoters that drive expression of 54 genes not previously known to be under the direct control of sigma-H. Based on the known or inferred function of most of these genes, we conclude that, in addition to its previously known roles in sporulation and competence, sigma-H controls genes involved in many physiological processes associated with the transition to stationary phase, including cytochrome biogenesis, generation of potential nutrient sources, transport, and cell wall metabolism.

Proteomic analysis reveals differential protein expression by Bacillus cereus during biofilm formation

Bacillus cereus, a dairy-associated toxigenic bacterium, readily forms biofilms on various surfaces and was used to gain a better understanding of biofilm development by gram-positive aerobic rods. B. cereus DL5 was shown to readily adapt to an attached mode of growth, with dense biofilm structures developing within 18 h after inoculation when glass wool was used as a surface. Two-dimensional gel electrophoresis (2DE) revealed distinct and reproducible phenotypic differences between 2- and 18-h-old biofilm and planktonic cells (grown both in the presence and in the absence of glass wool). Whereas the 2-h-old biofilm proteome indicated expression of 15 unique proteins, the 18-h-old biofilm proteome contained 7 uniquely expressed proteins. Differences between the microcolony (2-h) proteome and the more developed biofilm (18-h) proteome were largely due to up- and down-regulation of the expression of a multitude of proteins. Selected protein spots excised from 2DE gels were subjected to N-terminal sequencing and identified with high confidence. Among the proteins were catabolic ornithine carbamoyltransferase and L-lactate dehydrogenase. Interestingly, increased levels of YhbH, a member of the sigma 54 modulation protein family which is strongly induced in response to environmental stresses and energy depletion via both sigma(B) and sigma(H), could be observed within 2 h in both attached cells and planktonic cultures growing in the presence of glass wool, indicating that this protein plays an important role in regulation of the biofilm phenotype. Distinct band differences were also found between the extracellular proteins of 18-h-old cultures grown in the presence and in the absence of glass wool.

Bacillus subtilis functional genomics: global characterization of the stringent response by proteome and transcriptome analysis

The stringent response in Bacillus subtilis was characterized by using proteome and transcriptome approaches. Comparison of protein synthesis patterns of wild-type and relA mutant cells cultivated under conditions which provoke the stringent response revealed significant differences. According to their altered synthesis patterns in response to DL-norvaline, proteins were assigned to four distinct classes: (i) negative stringent control, i.e., strongly decreased protein synthesis in the wild type but not in the relA mutant (e.g., r-proteins); (ii) positive stringent control, i.e., induction of protein synthesis in the wild type only (e.g., YvyD and LeuD); (iii) proteins that were induced independently of RelA (e.g., YjcI); and (iv) proteins downregulated independently of RelA (e.g., glycolytic enzymes). Transcriptome studies based on DNA macroarray techniques were used to complement the proteome data, resulting in comparable induction and repression patterns of almost all corresponding genes. However, a comparison of both approaches revealed that only a subset of RelA-dependent genes or proteins was detectable by proteomics, demonstrating that the transcriptome approach allows a more comprehensive global gene expression profile analysis. The present study presents the first comprehensive description of the stringent response of a bacterial species and an almost complete map of protein-encoding genes affected by (p)ppGpp. The negative stringent control concerns reactions typical of growth and reproduction (ribosome synthesis, DNA synthesis, cell wall synthesis, etc.). Negatively controlled unknown y-genes may also code for proteins with a specific function during growth and reproduction (e.g., YlaG). On the other hand, many genes are induced in a RelA-dependent manner, including genes coding for already-known and as-yet-unknown proteins. A passive model is preferred to explain this positive control relying on the redistribution of the RNA polymerase under the influence of (p)ppGpp.

Comparison of protein patterns of Listeria monocytogenes grown in biofilm or in planktonic mode by proteomic analysis

The proteome of a Listeria monocytogenes strain isolated from a food plant was investigated to study the differential protein pattern expressed by biofilms and planktonic bacteria. The approach used in this study was a combination of two-dimensional electrophoresis, matrix-assisted laser desorption ionization-time of flight and database searches for the protein identification. Thirty-one proteins varied significantly between the two growth conditions. Twenty-two and nine proteins were up- and down-regulated respectively and nine proteins were successfully identified. The variations of the protein patterns indicated that the biofilm development is probably controlled by specific regulation of protein expression involved at various levels of cellular physiology.

General stress response of Bacillus subtilis and other bacteria

One of the strongest and most noticeable responses of a Bacillus subtilis cell to a range of stress and starvation conditions is the dramatic induction of a large number of general stress proteins. The alternative sigma factor sigma B is responsible for the induction of the genes encoding these general stress proteins that occurs following heat, ethanol, salt or acid stress, or during energy depletion. sigma B was detected more than 20 years ago by Richard Losick and William Haldenwang as the first alternative sigma factor of bacteria, but interest in sigma B declined after it was realized that sigma B is not involved in sporulation. It later turned out that sigma B, whose activity itself is tightly controlled, is absolutely required for the induction of this regulon, not only in B. subtilis, but also in other Gram-positive bacteria. These findings may have been responsible for the recent revival of interest in sigma B. This chapter summarizes the current information on this sigma B response including the latest results on the signal transduction pathways, the structure of the regulon and its physiological role. More than 150 general stress proteins/genes belong to this sigma B regulon, which is believed to provide the non-growing cell with a non-specific, multiple and preventive stress resistance. sigma B-dependent stress proteins are involved in non-specific protection against oxidative stress and also protect cells against heat, acid, alkaline or osmotic stress. A cell in the transition from a growing to a non-growing state induced by energy depletion will be equipped with a comprehensive stress resistance machine to protect it against future stress. The protection against oxidative stress may be an essential part of this response. In addition, preloading of cells with sigma B-dependent stress proteins, induced by mild heat or salt stress, will protect cells against a severe, potentially lethal, future stress. Both the specific protection against an acute emerging stress, as well as the non-specific, prospective protection against future stress, are adaptive functions crucial for surviving stress and starvation in nature. We suggest that the sigma B response is one essential component of a survival strategy that ensures survival in a quiescent, vegetative state as an alternative to sporulation. The role of sigma B in related Gram-positive bacteria (including cyanobacteria) with special emphasis on pathogenic bacteria is discussed.

Global analysis of the general stress response of Bacillus subtilis

Gene arrays containing all currently known open reading frames of Bacillus subtilis were used to examine the general stress response of Bacillus. By proteomics, transcriptional analysis, transposon mutagenesis, and consensus promoter-based screening, 75 genes had previously been described as sigma(B)-dependent general stress genes. The present gene array-based analysis confirmed 62 of these already known general stress genes and detected 63 additional genes subject to control by the stress sigma factor sigma(B). At least 24 of these 125 sigma(B)-dependent genes seemed to be subject to a second, sigma(B)-independent stress induction mechanism. Therefore, this transcriptional profiling revealed almost four times as many regulon members as the proteomic approach, but failure of confirmation of all known members of the sigma(B) regulon indicates that even this approach has not yet elucidated the entire regulon. Most of the sigma(B)-dependent general stress proteins are probably located in the cytoplasm, but 25 contain at least one membrane-spanning domain, and at least 6 proteins appear to be secreted. The functions of most of the newly described genes are still unknown. However, their classification as sigma(B)-dependent stress genes argues that their products most likely perform functions in stress management and help to provide the nongrowing cell with multiple stress resistance. A comprehensive screening program analyzing the multiple stress resistance of mutants with mutations in single stress genes is in progress. The first results of this program, showing the diminished salt resistance of yjbC and yjbD mutants compared to that of the wild type, are presented. Only a few new sigma(B)-dependent proteins with already known functions were found, among them SodA, encoding a superoxide dismutase. In addition to analysis of the sigma(B)-dependent general stress regulon, a comprehensive list of genes induced by heat, salt, or ethanol stress in a sigma(B)-independent manner is presented. Perhaps the most interesting of the sigma(B)-independent stress phenomena was the induction of the extracytoplasmic function sigma factor sigma(W) and its entire regulon by salt shock.

Induction of sigma(B)-dependent general stress genes by amino acid starvation in a spo0H mutant of Bacillus subtilis

Solely sigma(B)-dependent genes like gsiB and gspA are not significantly induced in amino acid-starved wild-type cells, since amino acid starvation does not trigger activation of sigma(B). The general stress gene yvyD is subject to the control of both sigma(B) and sigma(H) therefore displaying induction in response to amino acid starvation at the sigma(H)-dependent promoter. Surprisingly, the proteins YvyD, GsiB and GspA were significantly induced in amino acid-starved cells of a strain lacking sigma(H) activity. Transcriptional studies provided evidence that sigma(B)-dependent transcription is indeed induced in a spo0H mutant during amino acid starvation and depends on RsbP but not on RsbU indicating that the stress signal transduction is not required for this induction. A similar phenomenon of sigma(B) activation was observed in amino acid-starved cells of a spo0A deletion mutant. The sigma(B)-dependent transcription in a spo0H mutant further needs an active RelA protein which is responsible for strong repression of house-keeping genes after amino acid starvation (stringent response). Our data indicate that in the absence of sigma(H) and under conditions which provoke the stringent response, RsbP-dependent levels of active sigma(B) can more effectively compete for increased levels of free RNA polymerase core enzyme leading to the induction of the probably strongest sigma(B)-dependent genes.

Genome-wide analysis of the general stress response in Bacillus subtilis

Bacteria respond to diverse growth-limiting stresses by producing a large set of general stress proteins. In Bacillus subtilis and related Gram-positive pathogens, this response is governed by the sigma(B) transcription factor. To establish the range of cellular functions associated with the general stress response, we compared the transcriptional profiles of wild and mutant strains under conditions that induce sigma(B) activity. Macroarrays representing more than 3900 annotated reading frames of the B. subtilis genome were hybridized to (33)P-labelled cDNA populations derived from (i) wild-type and sigB mutant strains that had been subjected to ethanol stress; and (ii) a strain in which sigma(B) expression was controlled by an inducible promoter. On the basis of their significant sigma(B)-dependent expression in three independent experiments, we identified 127 genes as prime candidates for members of the sigma(B) regulon. Of these genes, 30 were known previously or inferred to be sigma(B) dependent by other means. To assist in the analysis of the 97 new genes, we constructed hidden Markov models (HMM) that identified possible sigma(B) recognition sequences preceding 21 of them. To test the HMM and to provide an independent validation of the hybridization experiments, we mapped the sigma(B)-dependent messages for seven representative genes. For all seven, the 5' end of the message lay near typical sigma(B) recognition sequences, and these had been predicted correctly by the HMM for five of the seven examples. Lastly, all 127 gene products were assigned to functional groups by considering their similarity to known proteins. Notably, products with a direct protective function were in the minority. Instead, the general stress response increased relative message levels for known or predicted regulatory proteins, for transporters controlling solute influx and efflux, including potential drug efflux pumps, and for products implicated in carbon metabolism, envelope function and macromolecular turnover.

Characterization of the sigma(B) regulon in Staphylococcus aureus

The sigma(B)-dependent stress regulon in gram-positive bacteria might fulfill a physiological role in stress response and virulence similar to that of the sigma(S) regulon in Escherichia coli and other gram-negative bacteria. In order to obtain evidence for the function of the sigma(B) regulon of Staphylococcus aureus, especially in virulence control, sigma(B)-dependent stress genes were identified. The two-dimensional protein pattern of wild-type cells of S. aureus COL was compared with that of an isogenic sigB mutant. By this approach, we found that the synthesis of about 27 cytoplasmic proteins seemed to be under the positive control of sigma(B). N-terminal sequencing of 18 proteins allowed the identification of their genes on the almost finished genome sequence of S. aureus COL and the analysis of the promoter structure. Transcriptional analyses of 11 of these genes confirmed their sigma(B) dependency, and moreover, about 7 additional sigma(B)-dependent genes were found which are cotranscribed with the newly detected genes, forming operons. Altogether, we identified 23 sigma(B)-dependent genes and their corresponding proteins. Among them are proteins probably involved in the generation of NADH or in membrane transport mechanisms. Furthermore, at least one clpC-homologous gene was localized on the S. aureus sequence solely transcribed by sigma(B). In contrast, a second clpC-homologous gene in S. aureus forming an operon with ctsR, yacH, and yacI was sigma(B) independently expressed.

Phosphate starvation-inducible proteins of Bacillus subtilis: proteomics and transcriptional analysis

The phosphate starvation response in Bacillus subtilis was analyzed using two-dimensional (2D) polyacrylamide gel electrophoresis of cell extracts and supernatants from phosphate-starved cells. Most of the phosphate starvation-induced proteins are under the control of sigma(B), the activity of which is increased by energy depletion. In order to define the proteins belonging to the Pho regulon, which is regulated by the two-component regulatory proteins PhoP and PhoR, the 2D protein pattern of the wild type was compared with those of a sigB mutant and a phoR mutant. By matrix-assisted laser desorption ionization-time of flight mass spectrometry, two alkaline phosphatases (APases) (PhoA and PhoB), an APase-alkaline phosphodiesterase (PhoD), a glycerophosphoryl diester phosphodiesterase (GlpQ), and the lipoprotein YdhF were identified as very strongly induced PhoPR-dependent proteins secreted into the extracellular medium. In the cytoplasmic fraction, PstB1, PstB2, and TuaD were identified as already known PhoPR-dependent proteins, in addition to PhoB, PhoD, and the previously described PstS. Transcriptional studies of glpQ and ydhF confirmed the strong PhoPR dependence. Northern hybridization and primer extension experiments showed that glpQ is transcribed monocistronically from a sigma(A) promoter which is overlapped by four putative TT(A/T)ACA-like PhoP binding sites. Furthermore, ydhF might be cotranscribed with phoB initiating from the phoB promoter. Only a small group of proteins remained phosphate starvation inducible in both phoR and sigB mutant and did not form a unique regulation group. Among these, YfhM and YjbC were controlled by sigma(B)-dependent and unknown PhoPR-independent mechanisms. Furthermore, YtxH and YvyD seemed to be induced after phosphate starvation in the wild type in a sigma(B)-dependent manner and in the sigB mutant probably via sigma(H). YxiE was induced by phosphate starvation independently of sigma(B) and PhoPR.

Transcription of the nfrA-ywcH operon from Bacillus subtilis is specifically induced in response to heat

The NfrA protein, an oxidoreductase from the soil bacterium Bacillus subtilis, is synthesized during the stationary phase and in response to heat. Analysis of promoter mutants revealed that the nfrA gene belongs to the class III heat shock genes in B. subtilis. An approximate 10-fold induction at both the transcriptional and the translational levels was found after thermal upshock. This induction resulted from enhanced synthesis of mRNA. Genetic and Northern blot analyses revealed that nfrA and the gene downstream of nfrA are transcribed as a bicistronic transcriptional unit. The unstable full-length transcript is processed into two short transcripts encoding nfrA and ywcH. The nfrA-ywcH operon is not induced by salt stress or by ethanol. According to previously published data, the transcription of class III genes in general is activated in response to the addition of these stressors. However, this conclusion is based on experiments which lacked a valid control. Therefore, it seems possible that the transcription of all class III genes is specifically induced by heat shock.