Skip to content

Advertisement

BMC Microbiology

Research article
Open Access

Transcriptomic and metabolic responses of Staphylococcus aureus exposed to supra-physiological temperatures

  • Bénédicte Fleury1,
  • William L Kelley1,
  • Daniel Lew1,
  • Friedrich Götz2,
  • Richard A Proctor3, 4 and
  • Pierre Vaudaux1Email author
BMC Microbiology20099:76

https://doi.org/10.1186/1471-2180-9-76

©  Fleury et al; licensee BioMed Central Ltd. 2009

Received: 01 December 2008

Accepted: 22 April 2009

Published: 22 April 2009

Abstract

Background

Previous evaluation by different molecular and physiological assays of Staphylococcus aureus (S. aureus) responses to heat shock exposure yielded a still fragmentary view of the mechanisms determining bacterial survival or death at supra-physiological temperatures. This study analyzed diverse facets of S. aureus heat-shock adjustment by recording global transcriptomic and metabolic responses of bacterial cultures shifted for 10 min from 37°C to a sub-lethal (43°C) or eventually lethal (48°C) temperature. A relevant metabolic model of the combined action of specific stress response mechanisms with more general, energy-regulating metabolic pathways in heat-shocked S. aureus is presented.

Results

While S. aureus cultures shifted to 43°C or left at 37°C showed marginal differences in growth and survival rates, bacterial cultures exposed to 48°C showed a rapid growth arrest followed by a subsequent decline in viable counts. The most substantial heat shock-induced changes at both 43°C and 48°C occurred in transcript levels of HrcA- and CtsR-regulated genes, encoding classical chaperones DnaK and GroESL, and some Hsp100/Clp ATPases components, respectively. Other metabolic pathways up-regulated by S. aureus exposure at 48°C included genes encoding several enzymes coping with oxidative stress, and DNA damage, or/and impaired osmotic balance. Some major components of the pentose phosphate cycle and gluconeogenesis were also up-regulated, which reflected depletion of free glucose by bacterial cultures grown in Mueller-Hinton broth prior to heat shock. In contrast, most purine- and pyrimidine-synthesis pathway components and amino acyl-tRNA synthetases were down-regulated at 48°C, as well as arginine deiminase and major fermentative pathway components, such as alcohol, lactate and formate dehydrogenases. Despite the heat-induced, increased requirements for ATP-dependent macromolecular repair mechanisms combined with declining energy sources, intracellular ATP levels remained remarkably constant during heat shock.

Conclusion

The sequential loss of replication and viability at 48°C cannot be explained by significant reductions in intracellular ATP levels, but may reflect ATP rerouting for macromolecular repair mechanisms and cell survival. Our metabolic model also suggests that heat-stressed S. aureus should down-regulate the production of potential, DNA-damaging reactive oxygen species that might result from electron transport-generated ATP, involving excessive levels of free heavy metals, in particular iron.

Keywords

Heat StressPurine Nucleoside PhosphorylaseHeat Shock Protein GenePentose Phosphate CycleBacLight Bacterial Viability

Background

Staphylococcus aureus is a versatile pathogen that can cause a wide spectrum of localized or disseminated diseases [1, 2], as well as colonizing healthy carriers [3, 4]. The mechanisms that may explain S. aureus physiological and pathogenic versatility are: (i) acquisition and exchange of a number of mobile genetic elements (carrying different toxins, antibiotic resistance determinants, others) by horizontal intra- or interspecies transfer [5]; (ii) the presence of highly elaborated signal-transduction and regulatory pathways, including at least one quorum-sensing system [6], which are coordinated by a number of global regulators that respond to environmental or host stimuli [6–9]; and (iii) the contribution of elaborated stress response systems to severe environmental conditions such as oxidant injury, extremes in pH and temperature, metal ion restriction, and osmotic stress [10].

Molecular chaperones or proteases involved in the refolding or degradation of stressed, damaged proteins, many of which are classed as heat shock proteins (HSP), play important roles in bacterial stress tolerance [11, 12]. Comparative genomic studies with B. subtilis allowed the identification two major, chaperone-involving stress response pathways in S. aureus [8, 13]. The first category includes genes encoding classical chaperones (DnaK, GroES, GroEL) that modulate protein folding pathways, in either preventing misfolding and aggregation or promoting refolding and proper assembly [12]. While these classical chaperones, such as DnaK and GroESL, are widely conserved among gram-negative and gram-positive bacterial species, their detailed physiological function was little studied in S. aureus until recently [14]. The second category includes clpC, clpB, and clpP coding for combined chaperone and ATP-dependent protease activities [13], also referred to as the family of Hsp100/Clp ATPases and proteases, whose activity was mostly studied in B. subtilis and E. coli [12]. By homology, the proteolytic activity in S. aureus is assumed to occur inside hollow, barrel-shaped "degradation chambers", composed of ClpP protease oligomers associated with Hsp100/Clp ATPases, non-proteolytic chaperone components that specifically recognize proteins tagged for disassembly, unfolding, and/or degradation [12]. The major global regulatory impact of the ClpP protease family on S. aureus physiology and metabolism was recently evaluated by a combined approach of genetic knockout and transcription profiling [15]. Several other studies demonstrated the pleiotropic phenotypic effects of individual knockout mutations in S. aureus clpX, clpC, clpB, clpL, ATP-dependent chaperones, which affected virulence in animal models, biofilm formation, endocytosis, cell wall autolysis, and resistance to stress exposure [16–18]. These genetic studies demonstrated the complex molecular interactions of stress response mechanisms, occurring at both transcriptional and post-translational levels [15–18]. While clpC, clpB, and clpP are controlled by the CtsR repressor, the HrCA regulon (dnaK and groESL operons) of S. aureus was found embedded within the CtsR regulon, in contrast to B. subtilis, which might provide a tighter control of major heat shock regulons in S. aureus [13, 19].

Initially considered as a major stress response system that would help to face diverse stressful stimuli (including some antibiotics) [20, 21], the SigB regulon is now believed to have a more general physiological impact on S. aureus compared to B. subtilis or E. coli, influencing ca. 200 genes involved in several cellular processes such as cell envelope composition, membrane transport processes, and intermediary metabolism [22, 23]. The SigB operon of S. aureus is composed of four ORFs (rsbU, rsbV, rsbW, sigB), coding for the regulatory network components of transcriptional factor sigma B activity (SigB) [20, 21, 24, 25]. Evaluation of intracellular levels and functional activity of free SigB is achieved by assaying transcription of the SigB-dependent target gene asp23 [26]. Previous studies have shown that S. aureus strain NCTC8325 and its in vitro-generated derivatives are defective in RsbU expression thus impairing post-transcriptional, upregulation of free SigB by external or internal stimuli [27–29].

In the past decades, S. aureus responses to heat shock exposure were evaluated by a variety of molecular and physiological assays, which yielded a still fragmentary view of the mechanisms determining bacterial survival or death at supra-physiological temperatures [14, 30–33]. This report aims to analyze diverse facets of S. aureus stress responses to heat exposure, by evaluating in parallel the combined action of specific stress response mechanisms with more general, energy-regulating metabolic pathways. The short term physiological adjustment of S. aureus from 37°C to higher temperatures was evaluated by recording the global transcriptomic responses of bacterial cultures briefly exposed (10 min) to one sub-lethal (43°C) and one eventually lethal (48°C) temperature, in parallel with determination of some major intracellular and extracellular markers of metabolic pathways regulating energy sources and microbial cell viability.

Results and discussion

Global analysis of transcriptomic responses

To evaluate the impact of temperature up-shifts on the transcriptomic profile of S. aureus ISP794, we sorted all genes whose transcript levels were ≥ 2-fold upregulated or down-regulated by 10-min up-shifts from 37°C to 43°C or 48°C. The transcript levels of 93 (ca. 4%) of 2410 evaluated genes showed ≥ 2 fold changes at 43°C, among which 39 were down-regulated and 54 upregulated. More extensive changes were recorded at 48°C, since 532 (22%) transcript levels showed ≥ 2 fold changes, with 232 genes being down-regulated and 300 up-regulated. The distributions of the responding genes based on COG functional categories are shown on Additional file 1. Since several COG functional categories included a mixture of annotated and poorly functionally characterized genes (e.g. transcription regulators), we listed all poorly characterized genes in the general function prediction only category (see also Additional file 2).

To provide some indication of basal gene activities under control conditions, we also provided (Additional file 3, 4 and 2) semi-quantitative estimates of normalized signal intensities recorded at 37°C, which were subdivided into four categories (see Methods). Indeed, the highest-intensity signals (75th to 100th percentile) were well correlated with the most abundant transcript products of S. aureus predicted to be highly expressed from codon usage [34]. They also correlated quite well with the most abundant proteins revealed by S. aureus proteomic studies [35], in particular enzymes involved in DNA, RNA and protein transcription machineries, central metabolism and energy production. Conversely, the lowest intensity signals (25th percentile) recorded at 37°C were contributed by transcripts from poorly expressed genes, such as amino acid biosynthetic pathways known to be repressed by the presence of amino acids in the MHB medium [35].

Contribution of specific transcriptomic heat stress-responses

As expected from previous studies of heat-shock responses in gram-positive bacteria [13, 18, 19], all components of S. aureus HrcA and CtsR regulons [13] were strongly induced by up-shifts to both 43°C and 48°C (Additional file 3). Transcript levels of the genes regulated by CtsR only (ctsR, mcsA, mcsB, clpC, clpP, clpB) increased by ca. 3–5 fold at 43°C and ca. 3–11 fold at 48°C. We also observed increased expression of genes simultaneously regulated by HrcA and CtsR (grpE, dnaK, dnaJ, prmA, groEL, groES) at both 43°C and 48°C heat-shock. At 48°C, several HSP transcripts were detected at saturating levels by the microarray setting and thus their increased expression was likely under-estimated. To circumvent this problem and also validate the microarray-determined, heat-induced changes, we tested up-regulation of HSP transcript levels by qRT-PCR. Indeed, several gene transcripts (ctsR, mcsA, mcsB, hrcA) whose levels were saturated in the microarray scanner after up-shift to 48°C were more highly increased (ca. 6–16-fold) when assayed by qRT-PCR (Additional file 3). In contrast, after bacterial up-shift to 43°C, up-regulation of eight HSP genes (ctsR, mcsA, mcsB, clpC, clpP, hrcA, dnaK, and groEL) whose levels were not saturated in the microarray scanner, increased to a similar extent by qRT-PCR and microarray. These data confirmed the validity of microarray to quantify changes in bacterial transcript levels.

While the heat-induced upregulation of ctsR and hrCA may seem paradoxical in view of their previously described repressor activities [13, 18] that should down-regulate the transcription of other HSP genes belonging to their respective operons, other parameters may be involved to explain this paradox. First, it has been shown that the CtsR repressor needs ClpC protein to be active [18], and that high temperature may lead to accumulation of conformationally inactive CtsR in the absence of the chaperone co-factor [18]. Second, the global regulatory impact of ClpP protease on S. aureus virulence and stress responses also affects the regulation of genes of both the CtsR- and HrcA-controlled regulons [15]. Finally, significant heat shock-induced alterations in energy supplies, which may influence the availability of intracellular ATP levels required for Clp ATPases activities, might also have an impact on the transcriptional control of both CtsR- and HrcA operons.

Finally, to find out whether the presence of a fully functional SigB operon was required for heat-shock transcriptomic responses of HrcA- or/and CtsR-regulated HSP components, we also assayed by qRT-PCR the changes of HSP transcript levels in strain ISPU, a derivative of S. aureus strain ISP794 that was genetically restored with a complete rsbU+ operon. The 16-fold increase in transcript levels of the SigB-regulated gene asp23 confirmed RsbU restoration in the strongly pigmented strain ISPU compared to its non-pigmented RsbU-negative parent ISP794 (data not shown). Additional file 3 shows that heat-induced transcript levels in strain ISPU were either equivalent or <2-fold higher than those recorded in the RsbU-defective parental strain ISP794. Thus, a fully functional SigB operon was not required for induction of heat-shock regulons HrcA and CtsR.

In contrast to those heat-induced gene activities, serine protease HtrA-like (htrA) and trigger factor (tig) coding genes, as well as several other genes coding for Clp ATPases (clpL, clpQ, clpX, clpY) were not at all induced by up-shift to either 43°C or 48°C (Additional file 2), in agreement with previous observations [17, 18].

Finally genes coding for in situ repair mechanisms of damaged amino acid residues, such as those belonging to either the methionine sulfoxide reductase complex or the peptidyl-prolyl cis-trans isomerase protein PrsA [11, 36], were only marginally up-regulated by temperature up-shifts at 43°C or 48°C (Additional file 2).

Impact of heat stress on S. aureus growth and survival

Evaluation of S. aureus outcome following temperature up-shifts at 43°C or 48°C was performed by several assays. Both optical density measurements at OD540 and viable counts indicated that S. aureus cultures were in late-log phase during heat shock. In contrast to OD540 profiles that were not influenced by heat stress (data not shown), viable counts revealed that cultures up-shifted to 48°C did not grow further, and, if maintained at the same temperature, showed a slight, ca. 0.3 log10 decline in CFU/ml from 60 to 120 min after the heat shock onset. In contrast, CFU counts revealed that S. aureus cultures exposed to 43°C or 37°C showed equivalent growth and survival profiles. These data allowed defining 43°C and 48°C as sub-lethal and eventually lethal temperatures, respectively. We also observed that S. aureus cultures continually exposed to 43°C or 37°C showed marginally different growth kinetics, while those continuously exposed to 48°C remained growth-arrested at least for a 5 h-period (Figure 1) followed by a significant viability decline at 18 h (data not shown).
Figure 1

Comparison of S. aureus ISP794 growth rates at 37°C, 43°C, or 48°C. Viable counts (CFU/ml) of bacterial cultures, grown on Mueller-Hinton broth at the indicated temperatures, were estimated by agar plating of serially diluted samples.

To verify that the marginal CFU decline during S. aureus heat stress at 48°C did not reflect heat-induced aggregation of the bacterial culture, we also evaluated bacterial viability by fluorescence microscopy, using the Live/Dead BacLight Bacterial Viability assay (see Methods). No significant aggregation was induced by heat exposure and the proportion of propidium iodide-stained, red bacteria increased slowly over time, in agreement with the slowly declining viable counts (data not shown). Finally, the extent of cell lysis was also estimated by the percentage of extracellularly released ATP before and after up-shift from 37°C to 48°C. The results showed nearly equivalent, low contents of extracellular ATP at the different temperatures, which represented <10% of intracellular ATP assayed in parallel and confirmed the marginal cell lysis (data not shown).

Additional heat-stress transcriptomic responses from various metabolic pathways

A large proportion of genes whose transcript levels showed ≥ 2-fold changes after up-shifts to either 43°C or 48°C belonged either to additional stress response pathways that were not regulated by CtsR-, HrcA-, and/or SigB, or to major metabolic pathways that likely contributed to the physiological adjustment and survival of heat-stress exposed bacteria. The Additional file 4 shows selected examples of up- or down-regulated genes representative of the different metabolic categories. A more exhaustive list of relevant gene transcripts and pathways is presented in the Additional file 2, which also includes altered genes of general function prediction only or unknown function.

Regulation of osmotic balance

Some heat-induced genes likely contributed to osmotolerance, such as those encoding glycine betaine transporter (opuD), choline dehydrogenase (betA), and glycine aldehyde dehydrogenase (gbsA). In contrast, transcript levels of the high affinity proline permease (putP) and proline betaine transporter (proP) remained constant, while those encoding the glycine betaine/carnitine/choline ABC transporter operon (opuCA/CB/CD), or the potassium-ABC transporter operon (kdpABC) and its regulator kdpDE, were down-regulated.

Oxidative stress responses

Some transcripts up-regulated by temperature up-shift at 48°C but not at 43°C were coding for enzymes coping with oxidative stress, in particular the superoxide dismutase gene sodA, and to a lesser extent (ratio: 1.84) thioredoxin (trxA) but not thioredoxin reductase (trxB). Occurrence of a heat-induced DNA damage at 48°C but not 43°C, potentially linked with oxidative stress, was suggested by increased transcript levels of nine genes coding for enzymes involved in DNA repair or/and recombination, namely dinB, uvrC, addA, recU, mutS2, the transcription-repair coupling factor mfd, the exonuclease SbcC, a zinc-dependent DNA glycosylase (SA1512), and to a lower extent polA encoding DNA polymerase I (ratio: 1.84). Part of those genes coding for DNA-damage repair and recombination enzymes were previously reported to be up-regulated, though to a variable extent, by S. aureus exposure to DNA-damaging agents such as mitomycin C [33] and ciprofloxacin [37], low pH [38], nitrite stress [39], peracetic acid [40] and cell-wall-active antibiotics [36]. In contrast, only one (uvrC) DNA-damage repair gene was up-regulated in S. aureus up-shifted to 43°C for 30 min [33]. In contrast to cell exposed to DNA-damaging agents [33, 37], we did not observe up-regulation of recA and lexA genes at 43°C or 48°C, which indicated the lack of a significant SOS response in heat-stressed bacteria.

Metal transporters

Several genes coding for influx or efflux metal transporters showed altered activities, which indicated possible dysregulation of metal homeostasis by temperature up-shifts. Except for the up-regulation of nixA coding for a high affinity nickel uptake transporter that seemed to be linked with urea cycle activation (see below), other up-regulated genes were encoding copper (copA) and zinc (czrAB) efflux transporters. Despite extensive studies, we lack a global, comprehensive model describing the regulation of physiological, intracellular levels of iron and other heavy metals in S. aureus, under normal and stressful conditions [41, 42]. While the peroxide operon regulator PerR was up-regulated at both 48°C and 43°C, transcript levels of some but not all PerR-regulated genes, such as katA (catalase), fnt (ferritin), and dps/mgrA also showed some increase at 48°C (see Additional file 2). The down-regulation of ABC transporter genes for other metallic cations such as manganese (mntABC) or cobalt might also indicate the need to avoid intracellular accumulation of potentially toxic levels of free heavy metals at 48°C.

Adjustment of ATP-providing pathways in heat-shocked S. aureus

Increasing, heat-triggered demand for protein- and DNA-repair mechanisms leads to higher consumption of cellular energy resources. Interestingly, nearly identical intracellular ATP levels were assayed in bacterial cultures shifted to 43°C (487 ± 7 pM/109 CFU), 48°C (483 ± 27 pM/109 CFU), or left at 37°C (469 ± 60 pM/109 CFU). Two previous reports also mentioned that heat stress did not decrease, but could even transiently increase, ATP levels in S. aureus [23] or E. coli [43]. To understand how heat-shocked bacteria could maintain constant intracellular ATP levels despite increased needs for repair systems, we evaluated gene expression changes in major energy-providing, metabolic pathways. Expression of genes encoding components of the glycolytic pathway remained quite constant after up-shifts to 43°C and 48°C, except for a nearly significant 2-fold decline of enolase (eno) at 48°C (see Additional file 2). More contrasting data were obtained with expression of TCA cycle genes, with three of them, namely citZ (citrate synthase), citC (isocitrate dehydrogenase), and odhB (dihydrolipoamide succinyltransferase), being up-regulated by heat-shock (48°C), while citB coding for the key TCA regulatory component aconitase was down-regulated [44]. It is unclear whether increased expression of citZ, citC, and odhB, which are conflicting with down-regulation of the TCA regulator aconitase, indicates an overall increased activity of the TCA cycle, or reflects individual contributions of some TCA components to other pathways. Indeed, citrate synthase may contribute to gluconeogenesis (by shuttling citrate to oxaloacetate and back to pyruvate/phosphoenolpyruvate) and dihydrolipoamide succinyltransferase to lysine degradation. Other microarray studies also reported induction of some TCA cycle components in stress-exposed S. aureus [37, 38]. Moreover, increased transcription at 48°C of zwf (glucose 6 phosphate dehydrogenase) and pycA (pyruvate carboxylase) also suggested activation of the pentose phosphate and gluconeogenesis pathways, respectively (Additional file 4).

We also noticed increased transcription at 48°C of three key enzymes (thiE, thiM, thiD) involved in the biosynthetic pathway leading to thiamine pyrophosphate coenzyme (ThPP), involved in major decarboxylation reactions of glycolysis, TCA and pentose phosphate pathways. A similar up-regulation of three key enzymes (ribA, ribB, ribD) coding for riboflavin synthesis was observed at 48°C. Both ThPP and FAD are also important for branched-chain fatty acid biosynthesis, derived from the catabolism of the branched-chain amino acids leucine, valine, and isoleucine [45, 46]. Moreover, increased expression of ThPP is also essential for biosynthesis of branched amino acids, and fit well with microarray data indicating derepression of 3 genes (leuA, leuB, leuC) coding for leucine biosynthesis. Adjustment of branched-chain fatty acid biosynthesis may be an important defense mechanism against heat-induced membrane disordering and contribute to restoring optimal membrane fluidity and proton impermeability [47] (see below).

Analysis of key metabolites in S. aureus growth medium

To evaluate the physiological significance of our transcriptomic data, we analyzed in parallel the presence of key metabolites in the growth medium, before and after temperature up-shifts. Freshly prepared MHB, before bacterial inoculation, contained relatively low levels of free glucose (0.38 mM), which were rapidly depleted (<0.001 mM) during the pre-shock growth period, as found in other studies [48, 49]. Extracellular starch levels, an abundant component of MHB, which was looked as a potential glucose-providing source, remained absolutely constant (assayed as 1.2–1.3 mg/ml of glucose equivalent) throughout bacterial growth. This suggested that S. aureus could not use starch as a nutrient source presumably because of the lack of extracellular amylolytic activity. Collectively, our transcriptomic and physiological data strongly indicated that, after glucose exhaustion from the medium, S. aureus was forced to use the most abundant alternative carbon sources that were amino acid or peptide mixtures provided in the casein acid hydrolysate component of MHB. Recent metabolic studies indicate that the catabolism of several amino acids can feed both TCA cycle and gluconeogenesis pathways by producing essential intermediates oxaloacetate, oxoglutarate, phosphoenolpyruvate, and pyruvate [44, 49, 50]. These metabolic studies also indicate that glucose depletion leads to derepression of TCA cycle components [44], as confirmed by our transcriptomic data showing their high expression levels at 37°C. While significant levels (3.0–3.5 mM) of acetate were detected in MHB just before and after temperature up-shifts, these levels remained marginal compared to those (ca. 15–20 mM) recorded in other studies [44, 48, 51], and were not sufficient to significantly acidify the growth medium. In contrast to gene activities of the glycolytic, pentose phosphate shunt, and TCA cycle pathways, most nitrate/nitrite reductase components were down-regulated at both 43°C and 48°C. Furthermore, several major fermentative pathway components were markedly down-regulated by heat stress at both 43°C and 48°C, in particular alcohol (adhE, adh1), lactate (ldhA, ldhB) and formate (fdh) dehydrogenases. Biochemical assays confirmed the marginal levels of L-lactate (0.3–0.5 mM) and D-lactate (< 0.15 mM) in MHB. The down-regulation of energy-providing fermentative pathways suggests that they may be energetically less efficient for heat-exposed S. aureus.

Adjustment of ATP-consuming pathways in heat-shocked S. aureus

Two categories of ATP-requiring biosynthetic pathways showed a significant, global reduction in transcript levels. The first category included the purine and pyrimidine synthetic pathways whose fifteen and nine components, respectively, were down-regulated to the same extent (Additional files 4 and 2). In contrast, transcript levels of drm (phosphopentomutase) and pnp (purine nucleoside phosphorylase), coding for salvage pathways, were markedly increased. Induction of salvage pathways contributes to the recycling of bases, by diminishing the high energetic costs of their multistep re-synthesis, and may also provide ribose to the pentose phosphate cycle. The second category of down-regulated transcript levels at 48°C included genes coding for 13 amino acyl-tRNA synthetases, among which eight were also decreased at 43°C (Additional files 4 and 2). Conversely, expression of cysteinyl-tRNA synthetase was significantly increased at 48°C.

In contrast, expression of most other genes coding for major biosynthetic apparatus of replication, transcription, and translation, e.g. ribosomal proteins, DNA or RNA synthesis, was not or only marginally affected by heat shock (see Additional file 2), except for rnc coding for RNase III whose expression was up-regulated at both 43°C and 48°C. A similar situation prevailed among cell wall and membrane biogenesis components, with only 10% of altered transcripts, in contrast to autolytic components whose expression was more affected by heat shock. Among cell division-regulating components, only scdA transcript levels, coding for a cell division and morphogenesis-related protein, were specifically reduced at both 43°C and 48°C.

Another category of ATP-consuming activities, whose expression appeared down-regulated, included 13 out of 15 evaluated ATP-dependent components of amino acid or peptide transporters (Additional files 4 and 2). Microarray data confirmed that amino acid/oligopeptide, transport was essential to cell metabolism because most amino acid synthetic pathways were repressed at 37°C. However, some of those amino acid pathways were strongly induced by up-shift to 48°C, as revealed by increased transcript levels (2.5–18 fold) of biosynthetic enzymes for lysine, tryptophan, glutamate, histidine, and branched chain amino acids. Up-regulation of those amino acid synthetic pathways, despite being high consumers of ATP, might indicate an increasing need of some amino acids during heat stress, possibly amplified by a decreased efficiency of some amino acid, ATP-driven transport systems. Of note, the content of free amino acids in MHB remained abundant throughout bacterial growth as well as after heat shock exposure (data not shown), which ruled out a specific depletion of some amino acids as observed in a previous study [49]. Therefore, the marginal decline in extracellular amino acid supply was not sufficient for explaining the selective, biosynthetic induction of some amino acids during heat stress at 48°C.

Since transcriptomic data suggest a decreased efficiency of energy-dependent transport systems in heat stressed-bacteria, this observation can be supported by the documented effects of increased temperature on bacterial membrane fluidity, which are known to alter proton impermeability and the proton-motive force [47, 52]. These heat-induced alterations in the membrane physico-chemical properties may require changes in its lipid composition for fluidity adjustment [47, 52].

Summary of transcriptomic and metabolic observations into a relevant metabolic model

Transcriptomic and metabolic data of S. aureus exposed to a sub-lethal (43°C) or eventually lethal (48°C) temperature can be summarized as follows: (i) heat stress exposure generates an increased ATP demand for protein- and DNA-repair; (ii) constant intracellular levels of ATP could be maintained despite a relative decline of ATP-generating sources, in particular fermentation and microaerophilic nitrate and nitrite reduction pathways. (iii) exhaustion of glucose supply during S. aureus culture preceding heat shock force the bacteria to feed ATP-generating pathways with amino acids metabolized into oxoglutarate, oxaloacetate, phosphoenolpyruvate and pyruvate, as essential TCA cycle and gluconeogenesis intermediates. We can further speculate that the decreased expression of a vast majority of amino acyl-tRNA synthetases might promote the release of amino acids that feed energy-providing pathways, though this may eventually compromise protein synthesis during prolonged heat shock.

The metabolic model proposed below (Figure 2) attempts to integrate metabolic responses (including already mentioned protein and DNA-repair pathways) of heat-stressed S. aureus with the predictable, heat-induced membrane disordering, in which increased motion of the lipid molecules may lead to increased proton transmembrane permeability and potentially severe bioenergetic consequences [47]. Studies in different bacterial species indicate that optimal membrane fluidity and proton impermeability can be restored by adjustment of its fatty acid composition [47, 52]. Major lipid biosynthetic pathways require high levels of NADPH and acetyl-CoA, which may explain up-regulation of the pentose phosphate cycle during heat shock. This may be further supported by up-regulation of ThPP and FAD biosynthetic pathways that are essential cofactors for biosynthesis of branched amino acids, whose catabolites are important precursors of branched-chain fatty acid biosynthesis [45, 46]. More detailed experimental studies are needed to confirm the importance of these adaptive mechanisms in S. aureus. Finally, the metabolic model also integrates the necessity for heat-stressed S. aureus to down-regulate the production of reactive oxygen species that may be generated via electron transport-generated ATP, in particular by reducing levels of free metals, such as iron, that may promote generation of superoxide and hydroxyl radicals [41, 42, 53].
Figure 2

Schematic representation of the major metabolic pathways that are up- or down-regulated by heat stress at 48°C. The three letter designations for the enzymes involved in the heat stress response can be found in the KEGG web site for S. aureus N135 http://www.genome.jp/kegg/. When there are several genes within the same operon that are increased, then the three letter designation is followed by capital letters, which represents the different enzymes (genes). When the gene/enzyme is not definitively known, then the gene number in the N315 ordered sequence tag numbering is given, e.g., SA1336 for glucose-6-phosphate 1-dehydrogenase. Arrows before the enzymes indicate significant increases (upward arrow) or decreases (downward arrow) in the transcripts or the key metabolic product that is produced by the pathway. All of the steps in the metabolic pathways are not shown, rather just key branch-points, so as to simplify the figure. Several important changes are shown at the bottom of the slide that do not fit into the central metabolism of the cell.

Conclusion

Combined molecular and biochemical approaches are required for a deeper understanding of mechanisms of ATP homeostasis in S. aureus and analyze its impact on the loss of replicative functions and viability during exposure to high temperatures as well as other stressing conditions. This experimental approach should also contribute to the discovery of new antimicrobial targets and development of innovative anti-infective strategies.

Methods

Strains and growth conditions

S. aureus strain ISP794 (NCTC8325) was used for most experiments. Strain ISPU is a derivative of ISP794 whose SigB functional activity was restored by transduction with a phage lysate prepared from the rsbU+-restored strain GP268, as described [54]. Strain ISPU yields strongly pigmented colonies on Mueller-Hinton agar (MHA), and its genotype was verified by a PCR assay [54].

S. aureus strains were routinely grown without shaking in Mueller-Hinton broth (MHB; Beckton Dickinson). For protocols evaluating S. aureus transcriptional responses at different temperatures, bacterial cultures were prepared by growing 100-fold dilutions of overnight cultures in 15 ml MHB for 5 h at 37°C, to an OD540 of 0.6 corresponding to 2–4 × 108 CFU/ml. These bacterial culture conditions have been used for several previous studies of S. aureus virulence (adhesins, toxins, gene expression) [54–57] in vitro and for experimental infections in animal models [58, 59], as well as for antibiotic susceptibility testing assays [60]. Then, the 5-h pre-cultures were transferred either to 43°C or 48°C or left at 37°C for 10 min. Immediately after the heat shock, all cultures were directly transferred to RNAprotect Bacteria Reagent (Qiagen).

Total RNA extraction and labeling

We followed a previously described procedure with slight modifications [57]. Following mixing with 30-ml RNAprotect reagent and incubation at room temperature for 15 min, each culture was centrifuged for 15 min at 5000 r.p.m. at 4°C. Bacterial pellets were suspended in PBS and treated with 200 μg/ml lysostaphin at 37°C for 10 min. RNA was purified using the RNeasy extraction kit (Qiagen), then treated with DNAse, and the absence of contaminating DNA verified by PCR. Purified RNA samples were analyzed using the RNA NanoLab chip on the 2100 Bioanalyser (Agilent).

DNA microarray

The major characteristics of our customized StaphChip oligoarray, used for transcriptomic profiling or comparative genome hybridization, have been previously described [57, 61–64]. The oligoarray version used in this study included 8'436 40- to 60-mer probes, recognizing >99% of ORFs of S. aureus N315, Mu50, COL, MW2, MRSA252, and MSSA476 genomes, plus those of the four plasmids pN315, pVRSA, pT181, pSAS. Total RNAs (10 μg) from heat-exposed and control strains were labeled in parallel with Cy3-dCTP and Cy5-dCTP, then purified as described [57]. For competitive hybridization using a dual-labeled experimental approach, equivalent amounts (ca. 6 μg/ml) of Cy3-labelled and Cy5-labelled cDNAs were diluted in 115 μl Agilent hybridization buffer and cohybridized for 17 h at 60°C. Slides were washed and dried under nitrogen flow as described [61].

Slides were scanned (Agilent) using 100% photomultiplier tube power for both wavelengths as described [61]. All positive and significant local-background-subtracted signals, obtained using Feature Extraction software (version 7.5, Agilent), were corrected for unequal dye incorporation or unequal load of the labeled product. The algorithm consisted of a rank consistency filter and a curve fit using the default LOWESS (locally weighted linear regression) method. Irregular or saturated spots, as well as spots showing a reference signal lower than background plus two standard deviations were excluded from subsequent analysis [57, 61].

All Feature Extraction-processed dye-normalized signals from the oligoarray were subdivided into four categories, as previously described [57], according to their intensities in control conditions at 37°C: the 25th percentile of probes yielding the lower-intensity signals (24 to 512 units), followed by the 25th to 50th percentile (513 to 1655 units), the 50th to 75th percentile (1656 to 4543 units) and the 75th to 100th percentile, yielding the highest-intensity signals (4544 to 89900 units).

We previously demonstrated that for most assayed genes, changes in transcript levels, expressed as ratios of red to green signal intensities, were highly reproducible on multiple probes recognizing non-overlapping regions of each transcript[57]. Accordingly, a minority of transcripts that showed widely different ratios from multiple probes were excluded. For all other genes whose signal ratios, recorded from multiple probe subsets, were closely related and consistently ≥ 2 or ≤ 0.5, the mean signal ratio of each relevant transcript was first determined for each daily experiment. Finally, the overall mean (± SEM) ratio was evaluated for each relevant gene from three independent biological replicates, and each transcript whose ratio was ≥ 2 or ≤ 0.5, and statistically validated by t-test at a P level of 0.05, was considered as differentially expressed [57]. Since experiments evaluating transcriptomic changes from 37°C to 43°C or 48°C was performed on different days, no variance analysis of transcriptomic changes recorded at all three temperatures was performed.

Processed microarray data files have been deposited in the Gene Expression Omnibus (GEO) database http://www.ncbi.nlm.nih.gov/projects/geo under accession number GSE12920. Gene designations, predicted functions, and functional categorization were derived from NCBI and SwissProt-Expasy updated databases of completed S. aureus. For convenience, we used ORF numbers from S. aureus strain N315, except when indicated. Comparison of our microarray data with those of other S. aureus transcriptomic studies was facilitated by the use of the SAMMD microarray meta-database [65]http://bioinformatics.org/sammd/main.htm.

Real-time quantitative RT-PCR

mRNA levels of a subset of selected genes were determined by quantitative reverse transcriptase PCR (qRT-PCR) using the one-step reverse transcriptase qPCR Master Mix kit (Eurogentec), as described previously [56]. All primers and probes are listed in the Additional file 5 and were designed using PrimerExpress Software (version 3.0); Applied Biosystem) and obtained from Eurogentec or Invitrogen. Conditions for reverse transcription, PCR, detection of fluorescence emission, and normalization of the mRNA levels of the target genes on the basis of their 16S rRNA levels were described previously [56, 66]. qRT-PCR data represent the mean (± SEM) of three independent, biological replicates. The statistical significance of temperature-specific differences in normalized cycle threshold values for each transcript was evaluated by paired t-test, and data were considered significant when P was < 0.05.

Evaluation of growth kinetics, survival, and cell lysis of S. aureus at different temperatures

Four different techniques were used: (i) optical density measurements at OD540; (ii) viable counts (CFU/ml) estimates of serially diluted cultures; (iii) staining of the bacteria using the Live/Dead BacLight Bacterial Viability kit L7007 (Invitrogen) following the manufacturer's instructions; (iv) the extent of cell lysis was also estimated by the percentage of extracellularly released ATP (see below).

Measurement of ATP levels

In initial studies, cultures were sampled at appropriate time points, then centrifuged and resuspended in 1 ml fresh MHB. In parallel, supernatants were filter-sterilized and transferred into new tubes. Alternatively, ATP levels were also directly assayed in non-centrifuged cultures. Intracellular as well as extracellular ATP levels were recorded with BacTiter-Glo™ kit from Promega, following the manufacturer's instructions. The reaction mixture contained 100 μl of serially diluted bacterial extracts or filter-sterilized, culture supernatants, which were mixed with 100 μl of the BacTiter-Glo reagent, in white, 96 well plates (Microlite™ TCT, Promega). Each sample was assayed in triplicate wells, and luminescence was detected by fluorometry (LumiCountTR, Packard Instrument). Results from three independent biological replicates were expressed in nanomolar units according to standard curves generated with purified ATP (Sigma).

Determination of glucose, starch, L- and D-lactate, and acetate levels in culture supernatants

To monitor metabolic parameters influenced by different thermal conditions, we assayed at appropriate time points glucose, acetate, L- and D-lactate levels in filter-sterilized, culture supernatants, using kits purchased from R-Biopharm AG according to manufacturer's instructions. We also assayed the glucose, acetate, and L-/D-lactate contents of fresh, sterile MHB medium, whose detailed composition is not available. Of note, we also performed a time-course of the starch levels of MHB during bacterial growth, using a commercial kit of R-Biopharm, to determine whether it might provide a nutrient source for S. aureus. Results from three independent biological replicates were expressed in molar units of glucose equivalents

Declarations

Acknowledgements

This work was supported by grants 32000-116518 (to PV), 3100A0-120428 (to W.L.K.), and 310030-125109 (to DL) from the Swiss National Foundation for Scientific Research, Switzerland, from DFG (SFB/TR34) to FG, and from Kimberly Clark to RAP. The authors thank A. Huyghe and P. François for helpful advice, and P. Majcherczyk for amino acid analysis.

Authors’ Affiliations

(1)
Service of Infectious Diseases, Geneva University Hospital, Geneva 14, Switzerland
(2)
Microbial Genetics, University of Tübingen, Tübingen, Germany
(3)
Department of Medical Microbiology/Immunology, University of Wisconsin School of Medicine and Public Health, Madison, USA
(4)
Current address: Merck & Co Inc, North Wales, USA

References

  1. Lowy FD: Staphylococcus aureus infections. N Engl J Med. 1998, 339: 520-532. 10.1056/NEJM199808203390806.PubMedView ArticleGoogle Scholar
  2. Furuya EY, Lowy FD: Antimicrobial-resistant bacteria in the community setting. Nat Rev Microbiol. 2006, 4: 36-45. 10.1038/nrmicro1325.PubMedView ArticleGoogle Scholar
  3. Sanford MD, Widmer AF, Bale MJ, Jones RN, Wenzel RP: Efficient detection and long-term persistence of the carriage of methicillin-resistant Staphylococcus aureus. Clin Infect Dis. 1994, 19: 1123-1128.PubMedView ArticleGoogle Scholar
  4. Kluytmans JA, Van Belkum A, Verbrugh H: Nasal carriage of Staphylococcus aureus: Epidemiology, underlying mechanisms, and associated risks. Clin Microbiol Rev. 1997, 10: 505-520.PubMed CentralPubMedGoogle Scholar
  5. Gill SR, Fouts DE, Archer GL, Mongodin EF, Deboy RT, Ravel J, Paulsen IT, Kolonay JF, Brinkac L, Beanan M, Dodson RJ, Daugherty SC, Madupu R, Angiuoli SV, Durkin AS, Haft DH, Vamathevan J, Khouri H, Utterback T, Lee C: Insights on evolution of virulence and resistance from the complete genome analysis of an early methicillin-resistant Staphylococcus aureus strain and a biofilm-producing methicillin-resistant Staphylococcus epidermidis strain. J Bacteriol. 2005, 187: 2426-2438. 10.1128/JB.187.7.2426-2438.2005.PubMed CentralPubMedView ArticleGoogle Scholar
  6. Novick RP: Autoinduction and signal transduction in the regulation of staphylococcal virulence. Mol Microbiol. 2003, 48: 1429-1449. 10.1046/j.1365-2958.2003.03526.x.PubMedView ArticleGoogle Scholar
  7. Blevins JS, Gillaspy AF, Rechtin TM, Hurlburt BK, Smeltzer MS: The staphylococcal accessory regulator (sar) represses transcription of the Staphylococcus aureus collagen adhesin gene (cna) in an agr-independent manner. Mol Microbiol. 1999, 33: 317-326. 10.1046/j.1365-2958.1999.01475.x.PubMedView ArticleGoogle Scholar
  8. Kuroda M, Ohta T, Uchiyama I, Baba T, Yuzawa H, Kobayashi I, Cui L, Oguchi A, Aoki K, Nagai Y, Lian J, Ito T, Kanamori M, Matsumaru H, Maruyama A, Murakami H, Hosoyama A, Mizutani-Ui Y, Takahashi NK, Sawano T: Whole genome sequencing of meticillin-resistant Staphylococcus aureus. Lancet. 2001, 357: 1225-1240. 10.1016/S0140-6736(00)04403-2.PubMedView ArticleGoogle Scholar
  9. Cheung AL, Bayer AS, Zhang G, Gresham H, Xiong YQ: Regulation of virulence determinants in vitro and in vivo in Staphylococcus aureus. FEMS Immunol Med Microbiol. 2004, 40: 1-9. 10.1016/S0928-8244(03)00309-2.PubMedView ArticleGoogle Scholar
  10. Clements MO, Foster SJ: Stress resistance in Staphylococcus aureus. Trends Microbiol. 1999, 7: 458-462. 10.1016/S0966-842X(99)01607-8.PubMedView ArticleGoogle Scholar
  11. Visick JE, Clarke S: Repair, refold, recycle: how bacteria can deal with spontaneous and environmental damage to proteins. Mol Microbiol. 1995, 16: 835-845. 10.1111/j.1365-2958.1995.tb02311.x.PubMedView ArticleGoogle Scholar
  12. Gottesman S, Wickner S, Maurizi MR: Protein quality control: triage by chaperones and proteases. Genes Dev. 1997, 11: 815-823. 10.1101/gad.11.7.815.PubMedView ArticleGoogle Scholar
  13. Chastanet A, Fert J, Msadek T: Comparative genomics reveal novel heat shock regulatory mechanisms in Staphylococcus aureus and other Gram-positive bacteria. Mol Microbiol. 2003, 47: 1061-1073. 10.1046/j.1365-2958.2003.03355.x.PubMedView ArticleGoogle Scholar
  14. Singh VK, Utaida S, Jackson LS, Jayaswal RK, Wilkinson BJ, Chamberlain NR: Role for dnaK locus in tolerance of multiple stresses in Staphylococcus aureus. Microbiology. 2007, 153: 3162-3173. 10.1099/mic.0.2007/009506-0.PubMedView ArticleGoogle Scholar
  15. Michel A, Agerer F, Hauck CR, Herrmann M, Ullrich J, Hacker J, Ohlsen K: Global regulatory impact of ClpP protease of Staphylococcus aureus on regulons involved in virulence, oxidative stress response, autolysis, and DNA repair. J Bacteriol. 2006, 188: 5783-5796. 10.1128/JB.00074-06.PubMed CentralPubMedView ArticleGoogle Scholar
  16. Chatterjee I, Becker P, Grundmeier M, Bischoff M, Somerville GA, Peters G, Sinha B, Harraghy N, Proctor RA, Herrmann M: Staphylococcus aureus ClpC is required for stress resistance, aconitase activity, growth recovery, and death. J Bacteriol. 2005, 187: 4488-4496. 10.1128/JB.187.13.4488-4496.2005.PubMed CentralPubMedView ArticleGoogle Scholar
  17. Frees D, Qazi SN, Hill PJ, Ingmer H: Alternative roles of ClpX and ClpP in Staphylococcus aureus stress tolerance and virulence. Mol Microbiol. 2003, 48: 1565-1578. 10.1046/j.1365-2958.2003.03524.x.PubMedView ArticleGoogle Scholar
  18. Frees D, Chastanet A, Qazi S, Sorensen K, Hill P, Msadek T, Ingmer H: Clp ATPases are required for stress tolerance, intracellular replication and biofilm formation in Staphylococcus aureus. Mol Microbiol. 2004, 54: 1445-1462. 10.1111/j.1365-2958.2004.04368.x.PubMedView ArticleGoogle Scholar
  19. Derre I, Rapoport G, Msadek T: CtsR, a novel regulator of stress and heat shock response, controls clp and molecular chaperone gene expression in gram-positive bacteria. Mol Microbiol. 1999, 31: 117-131. 10.1046/j.1365-2958.1999.01152.x.PubMedView ArticleGoogle Scholar
  20. Wu SW, De Lencastre H, Tomasz A: Sigma-B, a putative operon encoding alternate sigma factor of Staphylococcus aureus RNA polymerase: Molecular cloning and DNA sequencing. J Bacteriol. 1996, 178: 6036-6042.PubMed CentralPubMedGoogle Scholar
  21. Kullik I, Giachino P: The alternative sigma factor σB in Staphylococcus aureus: Regulation of the sigB operon in response to growth phase and heat shock. Arch Microbiol. 1997, 167: 151-159. 10.1007/s002030050428.PubMedView ArticleGoogle Scholar
  22. Bischoff M, Dunman P, Kormanec J, Macapagal D, Murphy E, Mounts W, Berger-Bachi B, Projan S: Microarray-based analysis of the Staphylococcus aureus sigmaB regulon. J Bacteriol. 2004, 186: 4085-4099. 10.1128/JB.186.13.4085-4099.2004.PubMed CentralPubMedView ArticleGoogle Scholar
  23. Pane-Farre J, Jonas B, Forstner K, Engelmann S, Hecker M: The sigma(B) regulon in Staphylococcus aureus and its regulation. Int J Med Microbiol. 2006, 296: 237-258. 10.1016/j.ijmm.2005.11.011.PubMedView ArticleGoogle Scholar
  24. Gertz S, Engelmann S, Schmid R, Ziebandt AK, Tischer K, Scharf C, Hacker J, Hecker M: Characterization of the σB regulon in Staphylococcus aureus. J Bacteriol. 2000, 182: 6983-6991. 10.1128/JB.182.24.6983-6991.2000.PubMed CentralPubMedView ArticleGoogle Scholar
  25. Senn MM, Giachino P, Homerova D, Steinhuber A, Strassner J, Kormanec J, Fluckiger U, Berger-Bachi B, Bischoff M: Molecular analysis and organization of the sigmaB operon in Staphylococcus aureus. J Bacteriol. 2005, 187: 8006-8019. 10.1128/JB.187.23.8006-8019.2005.PubMed CentralPubMedView ArticleGoogle Scholar
  26. Gertz S, Engelmann S, Schmid R, Ohlsen K, Hacker J, Hecker M: Regulation of σB-dependent transcription of sigB and asp23 in two different Staphylococcus aureus strains. Mol Gen Genet. 1999, 261: 558-566. 10.1007/s004380051001.PubMedView ArticleGoogle Scholar
  27. Giachino P, Engelmann S, Bischoff M: σB activity depends on RsbU in Staphylococcus aureus. J Bacteriol. 2001, 183: 1843-1852. 10.1128/JB.183.6.1843-1852.2001.PubMed CentralPubMedView ArticleGoogle Scholar
  28. Bischoff M, Entenza JM, Giachino P: Influence of a functional sigB operon on the global regulators sar and agr in Staphylococcus aureus. J Bacteriol. 2001, 183: 5171-5179. 10.1128/JB.183.17.5171-5179.2001.PubMed CentralPubMedView ArticleGoogle Scholar
  29. Palma M, Cheung AL: sigma(B) activity in Staphylococcus aureus is controlled by RsbU and an additional factor(s) during bacterial growth. Infect Immun. 2001, 69: 7858-7865. 10.1128/IAI.69.12.7858-7865.2001.PubMed CentralPubMedView ArticleGoogle Scholar
  30. Iandolo JJ, Ordal ZJ: Repair of thermal injury of Staphylococcus aureus. J Bacteriol. 1966, 91: 134-142.PubMed CentralPubMedGoogle Scholar
  31. Bucker ER, Martin SE: Effect of free-radical scavengers on enumeration of thermally stressed cells of Staphylococcus aureus MF-31. Appl Environ Microbiol. 1982, 43: 1020-1025.PubMed CentralPubMedGoogle Scholar
  32. Bucker ER, Martin SE: Superoxide dismutase activity in thermally stressed Staphylococcus aureus. Appl Environ Microbiol. 1981, 41: 449-454.PubMed CentralPubMedGoogle Scholar
  33. Anderson KL, Roberts C, Disz T, Vonstein V, Hwang K, Overbeek R, Olson PD, Projan SJ, Dunman PM: Characterization of the Staphylococcus aureus heat shock, cold shock, stringent, and SOS responses and their effects on log-phase mRNA turnover. J Bacteriol. 2006, 188: 6739-6756. 10.1128/JB.00609-06.PubMed CentralPubMedView ArticleGoogle Scholar
  34. Karlin S, Theriot J, Mrazek J: Comparative analysis of gene expression among low G+C gram-positive genomes. Proc Natl Acad Sci USA. 2004, 101: 6182-6187. 10.1073/pnas.0401504101.PubMed CentralPubMedView ArticleGoogle Scholar
  35. Kohler C, Wolff S, Albrecht D, Fuchs S, Becher D, Buttner K, Engelmann S, Hecker M: Proteome analyses of Staphylococcus aureus in growing and non-growing cells: a physiological approach. Int J Med Microbiol. 2005, 295: 547-565. 10.1016/j.ijmm.2005.08.002.PubMedView ArticleGoogle Scholar
  36. Utaida S, Dunman PM, Macapagal D, Murphy E, Projan SJ, Singh VK, Jayaswal RK, Wilkinson BJ: Genome-wide transcriptional profiling of the response of Staphylococcus aureus to cell-wall-active antibiotics reveals a cell-wall-stress stimulon. Microbiology. 2003, 149: 2719-2732. 10.1099/mic.0.26426-0.PubMedView ArticleGoogle Scholar
  37. Cirz RT, Jones MB, Gingles NA, Minogue TD, Jarrahi B, Peterson SN, Romesberg FE: Complete and SOS-mediated response of Staphylococcus aureus to the antibiotic ciprofloxacin. J Bacteriol. 2007, 189: 531-539. 10.1128/JB.01464-06.PubMed CentralPubMedView ArticleGoogle Scholar
  38. Bore E, Langsrud S, Langsrud O, Rode TM, Holck A: Acid-shock responses in Staphylococcus aureus investigated by global gene expression analysis. Microbiology. 2007, 153: 2289-2303. 10.1099/mic.0.2007/005942-0.PubMedView ArticleGoogle Scholar
  39. Schlag S, Nerz C, Birkenstock TA, Altenberend F, Gotz F: Inhibition of staphylococcal biofilm formation by nitrite. J Bacteriol. 2007, 189: 7911-7919. 10.1128/JB.00598-07.PubMed CentralPubMedView ArticleGoogle Scholar
  40. Chang W, Toghrol F, Bentley WE: Toxicogenomic response of Staphylococcus aureus to peracetic acid. Environ Sci Technol. 2006, 40: 5124-5131. 10.1021/es060354b.PubMedView ArticleGoogle Scholar
  41. Horsburgh MJ, Clements MO, Crossley H, Ingham E, Foster SJ: PerR controls oxidative stress resistance and iron storage proteins and is required for virulence in Staphylococcus aureus. Infect Immun. 2001, 69: 3744-3754. 10.1128/IAI.69.6.3744-3754.2001.PubMed CentralPubMedView ArticleGoogle Scholar
  42. Horsburgh MJ, Ingham E, Foster SJ: In Staphylococcus aureus, Fur is an interactive regulator with PerR, contributes to virulence, and is necessary for oxidative stress resistance through positive regulation of catalase and iron homeostasis. J Bacteriol. 2001, 183: 468-475. 10.1128/JB.183.2.468-475.2001.PubMed CentralPubMedView ArticleGoogle Scholar
  43. Soini J, Falschlehner C, Mayer C, Bohm D, Weinel S, Panula J, Vasala A, Neubauer P: Transient increase of ATP as a response to temperature up-shift in Escherichia coli. Microb Cell Fact. 2005, 4: 9-10.1186/1475-2859-4-9.PubMed CentralPubMedView ArticleGoogle Scholar
  44. Somerville GA, Chaussee MS, Morgan CI, Fitzgerald JR, Dorward DW, Reitzer LJ, Musser JM: Staphylococcus aureus aconitase inactivation unexpectedly inhibits post-exponential-phase growth and enhances stationary-phase survival. Infect Immun. 2002, 70: 6373-6382. 10.1128/IAI.70.11.6373-6382.2002.PubMed CentralPubMedView ArticleGoogle Scholar
  45. Beck HC, Hansen AM, Lauritsen FR: Catabolism of leucine to branched-chain fatty acids in Staphylococcus xylosus. J Appl Microbiol. 2004, 96: 1185-1193. 10.1111/j.1365-2672.2004.02253.x.PubMedView ArticleGoogle Scholar
  46. Beck HC: Branched-chain fatty acid biosynthesis in a branched-chain amino acid aminotransferase mutant of Staphylococcus carnosus. FEMS Microbiol Lett. 2005, 243: 37-44. 10.1016/j.femsle.2004.11.041.PubMedView ArticleGoogle Scholar
  47. Konings WN, Albers SV, Koning S, Driessen AJ: The cell membrane plays a crucial role in survival of bacteria and archaea in extreme environments. Antonie Van Leeuwenhoek. 2002, 81: 61-72. 10.1023/A:1020573408652.PubMedView ArticleGoogle Scholar
  48. Somerville GA, Said-Salim B, Wickman JM, Raffel SJ, Kreiswirth BN, Musser JM: Correlation of acetate catabolism and growth yield in Staphylococcus aureus: implications for host-pathogen interactions. Infect Immun. 2003, 71: 4724-4732. 10.1128/IAI.71.8.4724-4732.2003.PubMed CentralPubMedView ArticleGoogle Scholar
  49. Chatterjee I, Somerville GA, Heilmann C, Sahl HG, Maurer HH, Herrmann M: Very low ethanol concentrations affect the viability and growth recovery in post-stationary-phase Staphylococcus aureus populations. Appl Environ Microbiol. 2006, 72: 2627-2636. 10.1128/AEM.72.4.2627-2636.2006.PubMed CentralPubMedView ArticleGoogle Scholar
  50. Vuong C, Kidder JB, Jacobson ER, Otto M, Proctor RA, Somerville GA: Staphylococcus epidermidis polysaccharide intercellular adhesin production significantly increases during tricarboxylic acid cycle stress. J Bacteriol. 2005, 187: 2967-2973. 10.1128/JB.187.9.2967-2973.2005.PubMed CentralPubMedView ArticleGoogle Scholar
  51. Somerville GA, Beres SB, Fitzgerald JR, DeLeo FR, Cole RL, Hoff JS, Musser JM: In vitro serial passage of Staphylococcus aureus: changes in physiology, virulence factor production, and agr nucleotide sequence. J Bacteriol. 2002, 184: 1430-1437. 10.1128/JB.184.5.1430-1437.2002.PubMed CentralPubMedView ArticleGoogle Scholar
  52. Vossenberg Van de JL, Driessen AJ, da Costa MS, Konings WN: Homeostasis of the membrane proton permeability in Bacillus subtilis grown at different temperatures. Biochim Biophys Acta. 1999, 1419: 97-104. 10.1016/S0005-2736(99)00063-2.PubMedView ArticleGoogle Scholar
  53. Horsburgh MJ, Aish JL, White IJ, Shaw L, Lithgow JK, Foster SJ: Sigma(B) modulates virulence determinant expression and stress resistance: characterization of a functional rsbU strain derived from Staphylococcus aureus 8325-4. J Bacteriol. 2002, 184: 5457-5467. 10.1128/JB.184.19.5457-5467.2002.PubMed CentralPubMedView ArticleGoogle Scholar
  54. Li D, Renzoni A, Estoppey T, Bisognano C, Francois P, Kelley WL, Lew DP, Schrenzel J, Vaudaux P: Induction of fibronectin adhesins in quinolone-resistant Staphylococcus aureus by subinhibitory levels of ciprofloxacin or by Sigma B transcription factor activity is mediated by two separate pathways. Antimicrob Agents Chemother. 2005, 49: 916-924. 10.1128/AAC.49.3.916-924.2005.PubMed CentralPubMedView ArticleGoogle Scholar
  55. Bisognano C, Kelley WL, Estoppey T, Francois P, Schrenzel J, Li D, Lew DP, Hooper DC, Cheung AL, Vaudaux P: A RecA-LexA-dependent pathway mediates ciprofloxacin-induced fibronectin binding in Staphylococcus aureus. J Biol Chem. 2004, 279: 9064-9071. 10.1074/jbc.M309836200.PubMedView ArticleGoogle Scholar
  56. Renzoni A, Francois P, Li D, Kelley WL, Lew DP, Vaudaux P, Schrenzel J: Modulation of fibronectin adhesins and other virulence factors in a teicoplanin-resistant derivative of methicillin-resistant Staphylococcus aureus. Antimicrob Agents Chemother. 2004, 48: 2958-2965. 10.1128/AAC.48.8.2958-2965.2004.PubMed CentralPubMedView ArticleGoogle Scholar
  57. Renzoni A, Barras C, Francois P, Charbonnier Y, Huggler E, Garzoni C, Kelley WL, Majcherczyk P, Schrenzel J, Lew DP, Vaudaux P: Transcriptomic and functional analysis of an autolysis-deficient, teicoplanin-resistant derivative of methicillin-resistant Staphylococcus aureus. Antimicrob Agents Chemother. 2006, 50: 3048-3061. 10.1128/AAC.00113-06.PubMed CentralPubMedView ArticleGoogle Scholar
  58. Vaudaux P, Francois P, Bisognano C, Li D, Lew DP, Schrenzel J: Comparative efficacy of daptomycin and vancomycin in the therapy of experimental foreign body infection due to Staphylococcus aureus. J Antimicrob Chemother. 2003, 52: 89-95. 10.1093/jac/dkg277.PubMedView ArticleGoogle Scholar
  59. Vaudaux P, Gjinovci A, Bento M, Li D, Schrenzel J, Lew DP: Intensive therapy with ceftobiprole medocaril of experimental foreign-body infection by methicillin-resistant Staphylococcus aureus. Antimicrob Agents Chemother. 2005, 49: 3789-3793. 10.1128/AAC.49.9.3789-3793.2005.PubMed CentralPubMedView ArticleGoogle Scholar
  60. Clinical and Laboratory Standards Institute: Methods for dilution antimicrobial susceptibility tests for bacteria that grow aerobically. approved standard. 7th ed. M7-A7. Wayne, PA. 2006Google Scholar
  61. Charbonnier Y, Gettler B, Francois P, Bento M, Renzoni A, Vaudaux P, Schlegel W, Schrenzel J: A generic approach for the design of whole-genome oligoarrays, validated for genomotyping, deletion mapping and gene expression analysis on Staphylococcus aureus. BMC Genomics. 2005, 6: 95-10.1186/1471-2164-6-95.PubMed CentralPubMedView ArticleGoogle Scholar
  62. Scherl A, Francois P, Charbonnier Y, Deshusses JM, Koessler T, Huyghe A, Bento M, Stahl-Zeng J, Fischer A, Masselot A, Vaezzadeh A, Galle F, Renzoni A, Vaudaux P, Lew D, Zimmermann-Ivol CG, Binz PA, Sanchez JC, Hochstrasser DF, Schrenzel J: Exploring glycopeptide-resistance in Staphylococcus aureus: a combined proteomics and transcriptomics approach for the identification of resistance-related markers. BMC Genomics. 2006, 7: 296-10.1186/1471-2164-7-296.PubMed CentralPubMedView ArticleGoogle Scholar
  63. Koessler T, Francois P, Charbonnier Y, Huyghe A, Bento M, Dharan S, Renzi G, Lew D, Harbarth S, Pittet D, Schrenzel J: Use of oligoarrays for characterization of community-onset methicillin-resistant Staphylococcus aureus. J Clin Microbiol. 2006, 44: 1040-1048. 10.1128/JCM.44.3.1040-1048.2006.PubMed CentralPubMedView ArticleGoogle Scholar
  64. Garzoni C, Francois P, Huyghe A, Couzinet S, Tapparel C, Charbonnier Y, Renzoni A, Lucchini S, Lew DP, Vaudaux P, Kelley WL, Schrenzel J: A global view of Staphylococcus aureus whole genome expression upon internalization in human epithelial cells. BMC Genomics. 2007, 8: 171-10.1186/1471-2164-8-171.PubMed CentralPubMedView ArticleGoogle Scholar
  65. Nagarajan V, Elasri MO: SAMMD: Staphylococcus aureus microarray meta-database. BMC Genomics. 2007, 8: 351-10.1186/1471-2164-8-351.PubMed CentralPubMedView ArticleGoogle Scholar
  66. Vaudaux P, Francois P, Bisognano C, Kelley WL, Lew DP, Schrenzel J, Proctor RA, McNamara PJ, Peters G, Von Eiff C: Increased expression of clumping factor and fibronectin-binding proteins by hemB mutants of Staphylococcus aureus expressing small colony variant phenotypes. Infect Immun. 2002, 70: 5428-5437. 10.1128/IAI.70.10.5428-5437.2002.PubMed CentralPubMedView ArticleGoogle Scholar

Copyright

© Fleury et al; licensee BioMed Central Ltd. 2009

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Advertisement

BMC Microbiology

ISSN: 1471-2180

Contact us