Acetic acid increases the phage-encoded enterotoxin A expression in Staphylococcus aureus
© Wallin-Carlquist et al; licensee BioMed Central Ltd. 2010
Received: 24 February 2010
Accepted: 20 May 2010
Published: 20 May 2010
The effects of acetic acid, a common food preservative, on the bacteriophage-encoded enterotoxin A (SEA) expression and production in Staphylococcus aureus was investigated in pH-controlled batch cultures carried out at pH 7.0, 6.5, 6.0, 5.5, 5.0, and 4.5. Also, genomic analysis of S. aureus strains carrying sea was performed to map differences within the gene and in the temperate phage carrying sea.
The sea expression profile was similar from pH 7.0 to 5.5, with the relative expression peaking in the transition between exponential and stationary growth phase and falling during stationary phase. The levels of sea mRNA were below the detection limit at pH 5.0 and 4.5, confirmed by very low SEA levels at these pH values. The level of relative sea expression at pH 6.0 and 5.5 were nine and four times higher, respectively, in the transitional phase than in the exponential growth phase, compared to pH 7.0 and pH 6.5, where only a slight increase in relative expression in the transitional phase was observed. Furthermore, the increase in sea expression levels at pH 6.0 and 5.5 were observed to be linked to increased intracellular sea gene copy numbers and extracellular sea- containing phage copy numbers. The extracellular SEA levels increased over time, with highest levels produced at pH 6.0 in the four growth phases investigated. Using mitomycin C, it was verified that SEA was at least partially produced as a consequence of prophage induction of the sea-phage in the three S. aureus strains tested. Finally, genetic analysis of six S. aureus strains carrying the sea gene showed specific sea phage-groups and two versions of the sea gene that may explain the different sea expression and production levels observed in this study.
Our findings suggest that the increased sea expression in S. aureus caused by acetic acid induced the sea-encoding prophage, linking SEA production to the lifecycle of the phage.
Staphylococcal enterotoxins (SEs) are extracellular proteins, produced mainly by Staphylococcus aureus, causing food intoxication when ingested. Staphylococcal food poisoning (SFP) was the fourth most common causative agent in food-borne illness within the EU in 2008 . It is associated with food, generally rich in protein, which requires extensive manual handling, often in combination with inadequate heating and/or inappropriate storage of the food [2, 3]. To date, 21 staphylococcal enterotoxins or enterotoxin-like proteins (SEA-SEE, SEG-SEV), excluding variants, have been identified. These SE genes are widely disseminated by several mobile genetic elements leading to variations in the SE expression behavior among enterotoxigenic staphylococci [2–5]. The expression of a number of the enterotoxins including SEB, SEC, and SED is to some extent known to involve regulatory systems such as the accessory gene regulator (Agr), the staphylococcal accessory regulator (Sar) and the repressor of toxin (Rot) . However, we still have limited information about SEA, the toxin considered to be mainly responsible for staphylococcal food poisoning outbreaks [7–11]. The SEA gene is carried in the bacterial genome by a polymorphic family of temperate bacteriophages [12–14]. Recent studies of S. aureus strain MSSA476 have shown that mitomycin C (MC) induction of ΦSa3ms, resulted in increased transcription of enterotoxins SEA, SEG, and SEK and the fibrinolytic enzyme staphylokinase (Sak) carried by the prophage . Although, it is still unclear if the increased transcription of these virulence determinants lead to increased amounts of SE proteins. Furthermore, identification of the environmental parameters that control the expression of SEA in food, and the mechanism by which these signals are transduced to bring about changes in gene expression, are very limited. This knowledge is crucial for understanding the potential of S. aureus to cause food poisoning.
Acetic acid is a weak organic acid often used in the food industry as a preservative due to its antagonistic effect on bacterial pathogens . Weak acids have the ability to pass through the cell membrane in the undissociated form. Once inside the cell, the acid dissociates in the more alkaline interior, lowering the intracellular pH of the cell. A decrease in intracellular pH can lead to the damage of macromolecules (e.g. proteins and DNA) and the cell membrane, and have a negative effect on cell maintenance [16, 17]. Also, the anion of the acid is accumulated intracellularly, increasing turgor pressure . Acetic acid has been found to be more inhibitory to the growth of S. aureus than lactic acid, citric acid, phosphoric acid and hydrochloric acid, respectively . Also, acetic acid has been found to almost completely inhibit SEA formation in brain heart infusion (BHI) broth when added gradually over time .
In the present study, the effects of acetic acid on S. aureus growth, sea expression and SEA production were investigated in four growth phases. Furthermore, the relationship between SEA production and the lifecycle of the phage carrying the toxin gene was determined. Finally, genomic analysis of S. aureus strains carrying sea was performed to map differences within the gene and in the temperate phage carrying sea.
Effects of acetic acid on sea expression and SEA production in S. aureus Mu50
Phage-associated sea expression
Effects of acetic acid on sea expression and SEA production in S. aureus SA45
Genetic diversity of sea
Nucleotide sequence analysis of sea and prophage regions immediately upstream and downstream of the gene was performed on the whole-genome sequenced S. aureus strains MRSA252 , MSSA476 , Mu3, Mu50 , MW2 , and Newman  to determine genetic differences that may explain the different sea expression and SEA production profiles observed at pH 5.5 with S. aureus Mu50 and SA45. Sequence alignment of the coding region of sea revealed two main groups of sea-carrying phages. Within a group the sea sequences showed 100% sequence similarity and between the two groups the sequence similarity was 98%. Prophages ΦMu3, ΦMu50A, ΦSa3ms, and ΦSa3mw clustered together in a sea-group designated sea1, while Φ252B and ΦNM3 formed a sea group, designated sea2.
Primer used for conventional PCR and results from PCR analysis of four S. aureus strains.
Nucleotide sequence (5' → 3')
Annealing temperature (°C)
TAT TCA TTG CCC TAA CGT T
CCG TCT AGC CAT AAA TTG ATC
TAT TCA TTG CCC TAA CGT G
CCG TCT AGC CAT AAA TTG ATT
GGC AAG ATG GTT ATC ATG
CGA TTA TTA TCA TGT AAC G
GTT CTG ATG AGA ACT ATG
CGT CTC CGC AAT TTT C
GGC TAT AGA TGG ATT AC
AGA GCT TCG TCA ATT TCA
GGT AGA CAA GGC AGG TAA TAG
GTG GAC TTC CTA CAA CGC
CAT TGA ATG GTT AGT TGT AC
GTC CAA GTT ATA CAT TAT CGG
GAA CGC GTC TAT AGA AAA G
GTC CAA GTT ATA CAT TAT CGG
The genetic diversity analysis of the prophage region encoding SEA showed two main groups of genes, sea 1 and sea 2 . To our knowledge this has not been observed before. Furthermore, Figure 6 shows that the sea 1 and sea 2 genes are associated with specific bacteriophages which could be further grouped based on sequence similarities within regions upstream and downstream of the sea gene. Borst and Betley divided enterotoxin-A-producing S. aureus into high-SEA producing and low-SEA producing strains . The variation in SEA production was associated with differences in the prophage region immediately upstream of sea. The six strains analyzed here could be divided in three groups based on sequence differences in the sea-virulence region. However, a different grouping than for the sea gene was observed upon comparing the int gene of these phages. The int gene, being part of the core genome, is essential for the phage's lifecycle unlike the sea gene, and is therefore reflecting the evolutionary relationship among these phages. Nucleotide sequence analysis of S. aureus Mu50 and SA45 showed that they belong to different groups based on variations in the nucleotide sequences within the sea-virulence region. This division may explain the differences observed between the two strains regarding sea expression and SEA levels at pH 5.5.
The sea expression was highest in the transition from the exponential to the stationary growth phase in both S. aureus Mu50 and SA45 at all pH levels that allowed expression analysis, as established previously [26, 27]. A boost in sea expression was observed in the transitional phase in S. aureus Mu50 at pH 6.0 and pH 5.5, which was also found in strain SA45. The same expression pattern has been found for the prophage-encoded Panton-Valentine leukocidin (PVL, luk-PV) of S. aureus. Maximal expression of luk-PV in the late exponential growth phase was followed by a rapid decline post-exponentially. Our observation could partially be explained by the induction of the prophage carrying the toxin gene. The sea-phage copy numbers of S. aureus Mu50 at pH 6.0 remained constant during the first part of cultivation. In the late stationary growth phase, however, the number had increased four times (average increase of two biological replicates) compared to levels in early stationary growth phase. The phage copy numbers might have increased further if growth was allowed to continue. An acetic-acid induced intracellular drop in pH, leading to oxidative stress  would activate the SOS response system inducing the prophage . Sumby and Waldor showed that upon prophage induction in S. aureus, the phage DNA was replicated, resulting in an increase in sea gene copy number, and that a second prophage-regulated sea promoter was also activated, resulting in increased sea expression . Similar enhanced transcription of phage-encoded virulence genes upon prophage induction has also been observed for PVL in S. aureus and the Shiga toxins in E. coli[28, 31].
Mitomycin C, a well-known prophage inducer, was used in this study. The more MC added, the more SEA was produced per CFU for all three strains tested, supporting the association between prophage induction and SEA production. However, the expected boost in extracellular SEA levels accompanying the increased sea mRNA levels and sea gene copy levels observed at pH 5.5 was not found. This could be because of the pronounced phage production at pH 5.5 seen as a rapid increase in extracellular sea-phage copy number (Figure 3). The window for phage-encoded SEA-biosynthesis prior to phage-release could be too narrow in the bacteria at this pH level. The relative phage copy number generally increased over time at all pH levels investigated. At pH 5.5, the relative phage copy number was increasing dramatically over time, suggesting that substantial prophage induction had occurred. The sea gene copy number, however, was decreasing over time at pH 5.5. This could be due to cell lysis occurring upon prophage induction at this pH. At pH 5.0 and 4.5, a big increase in relative sea gene copy number was observed between the two last sampling points. This suggests that the prophage has been induced and the replicative form of the phage DNA is produced. However, at these low pH values, no great increase in SEA or phage copies were observed, suggesting protein synthesis was impaired.
In addition, the reason why the sea expression of S. aureus Mu50 at pH 5.5 was not as high as at pH 6.0, despite the fact that an even higher level of acetic acid was added, could also be because the acetic acid concentration here was on the limit of that tolerated by the organism. The growth rate of the culture at pH 5.5 was almost half of that at pH 6.0. The expression pattern at pH 5.5 was different from the patterns at the higher pH levels studied, in that it lacked the sharp expression peak in the transitional phase. At pH levels below 6.0, low amounts of SEA were produced. This supports the theory that pH 5.5 is close to the limiting pH of the bacterium. The SEA levels remained constant at pH 5.0 and pH 4.5 during the cultivation of Mu50, with a final SEA concentration of 62 ng/ml for both pH levels, indicating that no SEA production occured ≤ pH 5.0. This observation is supported by Barber and Deibel . Using hydrochloric acid, they found that the lowest pH values that supported SEA biosynthesis in buffered BHI medium incubated aerobically was 4.9. SFP can be caused by as little as 20-100 ng of enterotoxin . Levels higher than 100 ng/ml were detected at pH levels 7.0-5.5 in the mid-exponential growth phase.
This study has shown that the food preservative acetic acid increases sea gene expression in S. aureus. At pH 6.0 and 5.5, maximal sea expression was observed. At pH 6.0 there was a marked shift in growth rate and phage production peaked at pH 5.5. These findings suggest prophage induction. At pH 5.0 and 4.5, the sea gene copy numbers increased dramatically during late stages of cultivation, but SEA levels and phage copy numbers were low indicating that protein synthesis was affected. It is our hypothesis that the acetic acid lowers the intracellular pH of S. aureus, activating the temperate phage and, as a consequence, boosts the sea expression. Our results support the theory proposed by other research groups that prophages not only facilitate the dissemination of virulence genes, but also take part in the regulation of the expression of the genes.
The S. aureus strains used in this study were Mu50 (LGC Promochem, London, UK), MW2 (donated by Dr. T. Baba, Juntendo University, Tokyo, Japan), Newman (donated by Dr. H. Ingmer, Copenhagen University, Copenhagen, Denmark), RN4220 (Culture Collection University of Göteborg, Göteborg, Sweden), RN450 (donated by Dr. J. R. Penadés, Instituto Valenciano de Investigaciones Agrarias, Castellón, Spain), SA17 and SA45 (donated by the Swedish Institute for Food and Biotechnology, SIK, Göteborg, Sweden). All cultivations were performed in BHI (Difco Laboratories; BD Diagnostic Systems, Le Point de Claix, France) broth (with agitation) or agar at 37°C. S. aureus was transferred from glycerol stock to broth for overnight cultivation prior to the experiments. Broth (300 ml) was inoculated with a sufficient volume of S. aureus overnight culture to give an OD value at 620 nm (OD620) of 0.1 at the start of cultivation. Batch cultivations were then performed at different pH levels (pH 7.0, 6.5, 6.0, 5.5, 5.0, and 4.5) using in-house fermentors. The pH was set using acetic acid (Merck; Darmstadt, Germany), pH 7.0: 5.1 mM; pH 6.5: 12 mM; pH 6.0: 18 mM; pH 5.5: 28 mM; pH 5.0: 43 mM and pH 4.5: 93 mM final concentration of acetic acid, and maintained by adding sodium hydroxide (Merck) by automatic titration. The study was designed using several sampling points over time to visualize trends and all samples were analyzed three times. Where trend deviations were observed, cultivations were repeated to confirm the results.
The OD620 was measured to follow growth. All OD measurements were performed using a U-1800 spectrophotometer (Hitachi High Technologies Inc., Pleasanton, CA). Samples for quantitative reverse transcription polymerase chain reaction (qRT-PCR) analysis and enzyme-linked immunosorbent assay (ELISA) analysis, and intracellular-DNA and extracellular-DNA extractions were taken in the mid-exponential growth phase, in the transitional phase, i.e. between the exponential and stationary phases of growth, in the early stationary phase of growth, and in the late stationary phase of growth. At pH 5.0, samples were taken after 12, 27, 36 and 49 h of growth. At pH 4.5, samples were taken after 10, 24, and 30 h of growth.
Viable counts were determined in the late stationary growth phase to confirm OD620 measurements, except at pH 4.5, where viable counts were determined on each sampling occasion. Serial decimal dilutions of the bacterial cultures in physiological saline (Merck) solution were performed. The dilutions were plated on agar, incubated overnight and the CFU per ml was calculated.
Primer and probe design
Sequences and fluorescent dyes for primers and hybridization probes used for real-time PCR.
Nucleotide sequence (5' → 3')
ACG ATC AAT TTT TAC AGC
CCG AAG GTT CTG TAG AAG T
CCT TTG GAA ACG GTT AAA ACG AAT AAG AAA-FL1
LC-R640-TGT AAC TGT TCA GGA GTT GGA TCT TCA-p2
TGT CGT GAG ATG TTG GG
ACT AGC GAT TCC AGC TT
GGA CAA TAC AAA GGG CAG CG-FL
LC-R705-ACC GCG AGG TCA AGC A-p3
sea expression analysis
Total RNA was extracted using phenol and chloroform as described by Lövenklev et al. , except that the RNA was re-suspended in 100 μl RNA storage solution (Applied Biosystems, Foster City, CA). First-strand cDNA was synthesized in two separate reverse-transcription assays using reverse primers specific to SEA and the reference gene 16S rRNA, as described previously , with 0.1 μg RNA in the reference gene assay and 0.5 μg RNA in the toxin gene assay.
Real-time PCR amplification was carried out on a LightCycler™ 1.0 instrument (Roche Diagnostics GmbH). The total volume of PCR mixture was 20 μl including 4 μl of template cDNA. The sea PCR mixture consisted of 1 × PCR buffer, 3.25 mM MgCl2, 0.2 mM each of dATP, dTTP, dCTP, and dGTP, 0.5 μM each of the forward and reverse primers, 0.05 U Tth DNA polymerase, and 0.3 μM of each hybridization probe. The rrn PCR mixture was the same as the sea PCR mixture, except that 0.15 μM of each hybridization probe was added. All reagents except the primers and probes were obtained from Roche Diagnostics GmbH. The water used was autoclaved ultrapure water. In order to detect the amplification of possible contaminants, a negative control consisting of water instead of DNA was added to the PCR. Genomic DNA was used as a positive control. The following PCR protocol was used: initial denaturation at 95°C for 1 min, followed by 45 cycles of denaturation at 95°C for 0 s (i.e., no hold at 95°C), primer annealing at 46°C (sea) or 48°C (rrn) for 5 s, and extension at 72°C for 25 s, with a single fluorescence measurement at the end of the extension step. The crossing point cycle for each transcript was determined using the second derivative maximum mathematical model in the LightCycler™ software (ver. 3.5) (Roche Diagnostics GmbH), and the amplification efficiency in the exponential phase was calculated using the equation of Klein et al. . The sea gene assay was linear at 1.0 × 10-6 to 6.3× 10-8 g/ml RNA. The threshold cycle number of the reference gene varied <1.3 cycles in between samples. The efficiency was 0.96 ± 0.066 and 1.1 ± 0.075, respectively for the sea and the rrn assays.
Phage induction analysis
Cell-DNA was extracted using a protocol described by Walsh et al.  modified to include a 20% Chelex® (BioRad Laboratories; Hercules, USA) solution instead of 5%. 20 ng of DNA was added to the sea real-time PCR assay, see above.
Phage DNA was purified using zinc chloride as previously described by Santos  without previous DNase or RNase treatments. 200 ng of DNA was added to the sea real-time PCR assay, see above.
Induction of the bacteriophage using MC (Duchefa Biochemie, Haarlem, the Netherlands) was performed according to Resch et al. . S. aureus overnight culture (0.2 ml) was added to 30 ml of fresh broth in 250 ml Erlenmeyer flasks. When cultures were in the mid-exponential phase of growth, MC was added to a final concentration of 0.5 μg/ml or 5 μg/ml, followed by continued incubation for 3 h. SEA concentrations, viable cell counts, and viable virus particles were determined. Cultures without addition of MC were used as controls.
The phage plaque assay was performed as described by France and Markham . Supernatants from S. aureus cultures were spotted onto agar and the plates were then incubated at least overnight. S. aureus RN450 and RN4220 were used as receiver strains.
A modified protocol was developed for ELISA analysis of SEA using affinity-purified sheep polyclonal antibodies based on Poli et al. . A microtiter plate (Immulon® 2HB polystyrene, Flat Bottom Microtiter® Plates, 96 wells solid; Thermo Electron Corporation; Waltham, MA) was coated with 100 μl/well of a solution containing 2 μg/ml SEA affinity-purified antibody (Toxin Technology, Inc.; Sarasota, FL) in coating buffer (0.1 M sodium carbonate, pH 9.6, Merck) and left at 37°C overnight. All sites were blocked with 185 μl blocking buffer (SuperBlock Blocking Buffer in PBS, pH 7.4, Pierce, Rockford, IL) for one hour at 37°C and at least one hour at 4°C. The plate was washed four times with washing buffer (0.05% Tween 20, BioRad Inc., in 10 mM PBS, Sigma-Aldrich, St Louis, MO). Standards or culture supernatants were loaded onto the plate (100 μl/well) at appropriate dilutions and incubated for 90 min at 37°C. As SEA standard, highly purified SEA staphylococcal enterotoxin from Toxin Technology Inc. (Sarasota, FL), was used. The plate was washed and the biotinylated antibody (Toxin Technology, Inc.), diluted 2000 × in assay buffer (50 mM PBS, 0.01% bovine serum albumin, Sigma-Aldrich, 0.1% Tween 20, 0.01% Thimerosal, Sigma-Aldrich, 1% milk powder, Semper, Sundbyberg, Sweden) was added (100 μl/well). The plate was incubated for one hour at 37°C and washed. NeutrAvidin™-linked alkaline phosphatase (ImmunoPure NeutrAvidin™, alkaline phosphatase conjugated, 0.9 mg/ml, Pierce; diluted 1000 × in assay buffer, no milk powder included) was added (100 μl/well), and the plate was incubated for 30 minutes at 37°C. The plate was washed and substrate (SIGMAFAST™ p-nitrophenyl phosphate tablets N2770, Sigma-Aldrich) was added (100 μl/well). The color was allowed to develop for 45 min in darkness and the optical density was determined using a microplate reader with a filter at 405 nm (Multiskan Ascent, Thermo Electron Corporation). Absorbance values (mean of triplicate wells) were plotted against toxin concentrations, and values were determined from linear regression. The detection limit was at 0.31 ng/ml of SEA.
Nucleotide sequence analysis
The sea nucleotide sequences of six S. aureus strains (MRSA252 [GenBank: BX571856], MSSA476 [GenBank: BX571857], Mu3 [GenBank: AP009324], Mu50 [GenBank: BA000017], MW2 [GenBank: BA000033], and Newman [GenBank: AP009351]) were retrieved from GenBank (http://www.ncbi.nlm.nih.gov/Genbank/index.html April 2009) and pairwise aligned using BioEdit v. 126.96.36.199 (Ibis Biosciences; Carlsbad, CA). DNA sequences (8 kb) upstream and downstream of the sea gene were also compared. The sea genes of all six strains have previously been annotated.
Primers were designed to confirm the results of the nucleotide sequence analysis of sea and regions adjacent to the gene (Table 1). Two primer pairs were designed to distinguish between the two groups of nucleotide sequences, sea1 and sea2. Six primer pairs were designed to validate sequence differences found between strains in regions upstream and downstream of the sea gene. All primers were ordered from MWG Biotech AG. Genomic DNA from S. aureus Mu50, MW2, Newman, and SA45 was used as template. The total volume of PCR mixture was 50 μl including 200 ng template DNA. The PCR mixture consisted of 1 × PCR buffer, 2 mM MgCl2, 0.2 mM each of dATP, dTTP, dCTP, and dGTP, 0.2 μM each of forward and reverse primer and 2 U Tth DNA polymerase. All reagents except primers were obtained from Roche Diagnostics GmbH. The water used was autoclaved ultrapure water. In order to detect the amplification of possible contaminants, a negative control consisting of water instead of DNA was added to the PCR. The following PCR protocol was used: initial denaturation at 94°C for 4 min, followed by 30 cycles of denaturation at 94°C for 30 s, primer annealing at 47-55°C (see Table 1) for 30 s, and extension at 72°C for 1 min, with a final extension step at 72°C for 5 min. All amplifications were carried out using the Gene Amp 9700 thermal cycler (Perkin-Elmer Cetus; Norwalk, CT). The PCR products were visualized using 0.8% agarose (Bio-Rad Laboratories, Hercules, CA) gel electrophoresis according to Sambrook and Russell .
This work was supported by grants from the Swedish Research Council for Environment, Agricultural Sciences, and Spatial Planning (FORMAS) and by PathogenCombat, part of the European Commission's 6th Framework Programme. Dora Marta was awarded a grant by the Swedish Institute within the Guest Scholarship Programme 2008/2009.
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