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Infection and Immunity, October 2007, p. 5011-5017, Vol. 75, No. 10
0019-9567/07/$08.00+0 doi:10.1128/IAI.01824-06
Copyright © 2007, American Society for Microbiology. All Rights Reserved.

Department of Microbiology, Dental Research Institute, University of Toronto, Ontario, Canada,1 Department of Laboratory Medicine and Pathobiology, University of Toronto, Ontario, Canada2
Received 16 November 2006/ Returned for modification 3 April 2007/ Accepted 10 July 2007
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Iron is an essential nutrient for pathogenic bacteria and is not readily available within the human host because it is located intracellularly and sequestered by a variety of iron-binding host proteins, such as hemoglobin and transferrins (11, 32). One of the means by which S. pyogenes has been proposed to obtain essential iron for growth is via SiaA, also referred to as HtsA, which is part of an ABC transporter involved in iron acquisition that acts by binding host hemoproteins (2, 19, 23). Liu and Lei (23) proposed that Shp, a streptococcal cell surface protein which is encoded on the same operon as siaA, acquires heme by binding hemoglobin and subsequently transferring the heme to SiaA (23).
Streptolysin S (SLS) production has also been proposed as an important part of the mechanism used by S. pyogenes to acquire intracellular iron by lysing host red blood cells (2, 10). SLS, an oxygen-stable, nonimmunogenic hemolysin with a broad cytolytic spectrum, is encoded by a nine-gene sag operon that was shown to be essential and sufficient for the production of SLS (3, 7, 8, 27). In addition to its putative role in iron acquisition, SLS is thought to be important for the pathogenesis of S. pyogenes because it is involved in inflammation, tissue injury, and resistance to phagocytic killing (3, 7, 22).
The sagA gene, also referred to as pel, encodes a bacteriocin-like peptide which functions as the basic structural unit of SLS (27). Further, sagA mRNA has also been implicated as a regulatory molecule (21, 24, 27) proposed to have an effect on virulence factors, such as M proteins, Sic, and SpeB (21, 24). Since sagA was proposed as a regulatory, bacteriocin-like molecule and we have previously shown that its expression increases with increasing cell density (3), it could act as a quorum-sensing molecule.
Quorum sensing is a density-dependent process which involves chemical signaling molecules that reach a critical threshold concentration with increasing cell density, resulting in altered gene expression (26). In gram-positive bacteria, signal molecules are usually oligopeptides secreted extracellularly by an ABC transporter (26). The peptide is detected by a two-component signal transduction system consisting of a sensor kinase and a response regulator, which relay the signal intracellularly, whereby the sensor kinase phosphorylates the response regulator, thus activating it (26). The phosphorylated response regulator then binds to DNA and alters target gene expression. Interestingly, several bacteriocins, which are a class of antimicrobial peptides produced by bacteria, including nisin of Lactococcus lactis (15) and subtilin of Bacillus subtilis (1), were shown to be regulated by quorum sensing (5). In fact, the structural peptides of nisin and subtilin were shown to function as the signaling molecules that induced their own expression upon activation of the density-dependent autoinduction loop (18). We propose that the bacteriocin-like sagA functions in a similar manner, whereby the structural peptide SLS induces its own expression in a density-dependent manner.
This study was undertaken to explore how S. pyogenes regulates the expression of sagA and siaA in response to various iron concentrations and cell densities. Furthermore, we hypothesized that sagA encodes a quorum-sensing signaling peptide based on its deduced peptide features, predicted cleavage, and posttranslational modifications (27) and on its response to cell density (3). We found that siaA was up-regulated in response to limiting iron conditions, thus adding strength to its role as a gene involved in iron acquisition. Moreover, sagA was shown to respond as a quorum-sensing signaling peptide since it was up-regulated both in a density-dependent manner and by SLS and was not induced in conditioned media from sagA-deficient mutants.
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SLS) (a nonhemolytic derivative of MGAS166 with a Tn916 insertion in the promoter region of the sag operon) (3), and NZ131:sagA
cat (an M49 serotype group A Streptococcus with an in-frame allelic replacement of sagA by chloramphenicol) (7), were utilized to generate conditioned media. For all in vitro analyses of gene expression, overnight cultures of MGAS166 were grown in Todd-Hewitt (TH) broth (Difco Laboratories, MI) centrifuged at 39,410 x g at 4°C for 10 min, washed twice with either fresh TH broth or iron-restricted TH broth, and resuspended in the same. This overnight suspension was used at a dilution of 1/20 to inoculate the test media, incubated at 37°C in ambient air, and sampled for mRNA at various time points (2, 4, and 6 h postinoculation).
Preparation of test medium conditions.
In this study, TH broth was considered nonconditioned medium. Conditioned medium was prepared by growing MGAS166, SBNH5(
SLS), or NZ131:sagA
cat in TH broth at 37°C in ambient air for 6 h (optical density at 600 nm [OD600] of 0.6 to 0.8). This culture was then centrifuged at 39,410 x g at 4°C for 15 min, and the cell-free supernatant was removed and filter sterilized using a Stericup filtration system (Millipore, Nepean). To prepare iron-restricted medium, TH broth was treated with the chelating resin Chelex-100 and supplemented with 0.55 mM of CaCl2, MgCl2, MnCl2, and ZnCl2 as described previously (31). This medium was supplemented with 1.0 µM or 1,000 µM ferric chloride or ferric citrate. Expression studies were also conducted in MGAS166 grown in TH broth containing 5.0 µg/ml of commercially available lyophilized SLS (Sigma-Aldrich, Oakville), which contains approximately 3% protein balanced by core RNA in addition to phosphate buffer salts and sodium chloride. Gene expression analysis under all the in vitro conditions tested was conducted with two independent cultures grown under identical conditions.
Growth rates.
The growth kinetics of MGAS166 in the presence of various concentrations of SLS and ferric chloride was analyzed using a Bioscreen microbiology reader (Bioscreen C; Labsystems, Helsinki, Finland). Overnight cultures of MGAS166 in TH broth were washed two times with either fresh TH broth or iron-restricted TH broth as mentioned above and subcultured in triplicate into microtiter plate wells containing 300 µl of test medium. Bioscreen parameters included growth at 37°C for 16 h with the OD600 recorded every 20 min. In addition, the OD600 was recorded for MGAS166 grown in conditioned medium from both sagA mutants [SBNH5(
SLS) and NZ131:sagA
cat] and the wild-type strain (MGAS166) at 37°C for 0, 2, 4, and 6 h postinoculation. This experiment was performed with triplicate cultures.
Total RNA isolation. S. pyogenes MGAS166 grown under the desired in vitro conditions was harvested by centrifugation at 39,410 x g at 4°C for 10 min, and the bacterial pellet was snap-frozen in liquid nitrogen and stored in –80°C until needed for further use. To isolate RNA, the bacterial pellet was resuspended in TRIzol reagent (Invitrogen, Ontario) and cells were lysed two times using an FP120 FastPrep machine (BIO 101, Mississauga, Ontario, Canada) at a speed of 6.0 for 20 s. RNA was then treated with DNase I and quantified by measuring absorbance at 260 nm, and its integrity was verified by agarose gel electrophoresis.
Real-time PCR analysis. DNase-treated RNA samples were reverse transcribed by using a first-strand cDNA synthesis kit (MBI Fermentas, Ontario, Canada) in accordance with the recommendations of the supplier. Controls for cDNA synthesis included a no-RNA template sample and one without reverse transcriptase. The real-time PCR assays were performed in triplicate on each of the duplicate samples by using a SmartCycler system (Cepheid, Sunnyvale, CA) and a QuantiTect SYBR green PCR kit (QIAGEN, Ontario, Canada). Each 25-µl reaction mixture included 2 µl of cDNA (200 ng), 250 nmol of each primer (Table 1), and 2x SYBR green mix. The reactions were cycled in the SmartCycler by using the following parameters: 95°C for 15 min for the hot start, followed by 40 cycles of 94°C for 30 s, annealing at optimal temperature (Table 1) for 30 s, and primer extension at 72°C for 30 s. Gene expression analysis included the generation of standard curves for each gene and the utilization of the DNA gyrase A gene (gyrA) as an internal standard for normalizing gene expression, as described previously (30).
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TABLE 1. Primers and optimal annealing temperature used for the real-time PCR analysis of sagA, siaA, and gyrA
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SLS), and NZ131:sagA
cat with increasing cell densities from 0 to 6 h postinoculation (Fig. 1A). Similarly, since various concentrations of SLS, ranging from 0.1 to 5.0 µg/ml, did not inhibit the growth of MGAS166 (Fig. 1B), gene expression was analyzed in 5.0 µg/ml of SLS. A range of iron concentrations from 1.0 µM to 1,000 µM did not appear to alter the growth kinetics of MGAS166 (Fig. 1C). Since iron is necessary for growth and medium supplemented with essential divalent cations (such as CaCl2, MgCl2, MnCl2, and ZnCl2) results in the presence of trace iron, we chose to test gene expression at 1.0 and 1,000 µM of iron. Thus, relative expression of sagA and siaA was measured in low (1.0 µM) and high (1,000 µM) concentrations of iron.
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FIG. 1. Growth kinetics of MGAS166 in various conditioned media (A) and various concentrations of SLS (B) and ferric chloride (C). Each experiment represents an average of three independent cultures. Error bars indicate standard deviations.
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FIG. 2. Average normalized expression of siaA (A) and sagA (B) in MGAS166 from duplicate cultures grown in nonconditioned medium at 2, 4, and 6 h postinoculation. Both siaA and sagA expression levels were normalized with gyrA. Error bars indicate standard deviations.
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SLS] and NZ131:sagA
cat). The relative levels of sagA and siaA gene expression were determined by a comparison of normalized gene expression in conditioned medium relative to that in nonconditioned medium. sagA was expressed at significantly higher levels in conditioned medium from MGAS166 relative to growth in nonconditioned medium throughout the time period tested (Fig. 3A). This dramatic up-regulation of sagA ranged from 11.3-fold at 2 h postinoculation to 22.4-fold at 6 h postinoculation. This relative up-regulation of sagA was not observed when MGAS166 was grown in the conditioned medium from the sagA mutants (Fig. 3B and C). In fact, there was no significant difference between the levels of sagA gene expression in these conditioned media relative to that in nonconditioned medium. By contrast, siaA expression was up-regulated in the conditioned media from MGAS166 as well as in media from the sagA-deficient mutants (Fig. 3). Interestingly, this up-regulation of siaA occurs earlier during the growth phase at 2 and 4 h postinoculation. Furthermore, there was no significant difference in the level of siaA expression at 6 h postinoculation in each of the conditioned media (MGAS166, SBNH5[
SLS], and NZ131:sagA
cat) relative to that in the nonconditioned medium.
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FIG. 3. Expression of siaA and sagA during growth of MGAS166 in conditioned medium from MGAS166 (A), SBNH5( SLS) (B), and NZ131:sagA cat (C) relative to nonconditioned medium as determined by real-time PCR analysis. Statistical significance (P < 0.05) as determined by a single factor ANOVA is indicated by the asterisk. Error bars indicate standard deviations.
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FIG. 4. Expression of siaA (A) and sagA (B) of MGAS166 in the presence of 5.0 µg/ml of SLS relative to nonconditioned medium as determined by real-time PCR analysis. Statistical significance (P < 0.05) as determined by a single factor ANOVA is indicated by the asterisk. Error bars indicate standard deviations.
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FIG. 5. Expression of siaA (A) and sagA (B) during growth of MGAS166 in low (1.0 µg/ml) relative to high (1,000 µg/ml) iron concentrations as determined by real-time PCR analysis. Statistical significance (P < 0.05) as determined by a single factor ANOVA is indicated by the asterisk. Error bars indicate standard deviations.
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The differences in gene expression between conditioned and nonconditioned medium suggested that the conditioned medium contained a signaling molecule; however, we did not conclusively identify the sagA gene product as being this molecule. In order to demonstrate sagA as a signaling molecule, MGAS166 was grown in conditioned media from sagA-deficient mutants of two serotypes (M1 and M49). These mutants differed slightly in their genetic backgrounds as the M1 mutant contained a transposon insertion in the sag operon promoter region that resulted in a mutation, which abrogated expression of the entire nine-gene operon (3). The M49 strain had a nonpolar in-frame deletion of the sagA gene, with the eight downstream genes being expressed (7). Most importantly both strains failed to produce an active SLS. We selected mutants of two different serotypes to determine whether varying the M serotype would alter the affect on sagA expression, particularly since the regulatory effect of sagA might be serotype dependent (3, 4, 7, 9, 21). The conditioned media from the mutants were characterized by the absence of a sagA transcript or SLS that is the product of this operon. In the absence of SLS, the conditioned medium did not up-regulate sagA expression relative to nonconditioned medium (Fig. 3B and C), indicating that it is indeed the sagA operon that is responsible for up-regulation. In contrast, there was little difference in the relative expression of siaA, regardless of whether the conditioned medium was from the MGAS166 parent strain or the sagA-deficient mutants (Fig. 3).
Our data differs from those of Mangold et al. (24) who found that the addition of conditioned medium from a sagA-deficient mutant to an M1 serotype wild-type strain resulted in the up-regulation of sagA (24). However, by adding conditioned medium in a ratio of 1:1 to lag-phase cultures, these authors did not eliminate any inducing signals from the lag-phase cultures. We found that the addition of lag-phase cultures to conditioned medium also resulted in the up-regulation of sagA (data not shown). Furthermore, by using the conditioned medium immediately after preparation, we eliminated any potential effects that could result from freezing. Finally, real-time PCR analysis of mRNA expression is more sensitive than Northern analysis and avoids the problem of equalizing total cell numbers since the gyrA gene allows for the standardization of mRNA expression levels. Thus, we attribute this inconsistency between our results and those of Mangold et al. (24) to likely result from differences in experimental procedures.
Since SLS is the functional product of the sagA operon, its effect on gene expression was also evaluated. Various concentrations of exogenously added SLS were initially tested to ensure that the addition of SLS did not alter the cell density of the culture medium (Fig. 1B). The expression of sagA increased after the addition of SLS relative to nonconditioned medium, and this up-regulation followed a growth phase-dependent increase from approximately 1.5-fold at 2 h to roughly 5-fold at 6 h (Fig. 4B). Despite the presence of impurities in commercial SLS due to difficulties in purifying this toxin (8), its exogenous addition caused the induction of sagA similar to the pattern of induction observed with conditioned medium from the MGAS166 wild type. Interestingly, at 5.0 µg/ml, SLS did not induce sagA to levels as high as those in MGAS166-conditioned medium. The reasons for this result could be that (i) the concentration of SLS used for this analysis was either too high or too low or (ii) the presence of impurities in SLS could have altered its activity. Nevertheless, our data provide convincing evidence that the sag operon is indeed involved in signaling.
The addition of commercially available SLS also dramatically up-regulated siaA, and its effect was not growth phase dependent because the highest level of up-regulation (approximately 130-fold) was observed at 2 h rather than at 6 h (approximately 10-fold) (Fig. 4A). This result suggests that siaA could be a target gene for the SLS quorum-sensing system. Furthermore, the fact that siaA was not up-regulated in a growth phase-dependent manner indicated that it was not responding as a signaling molecule.
In addition to cell density and SLS, another environmental stimulus investigated in this study was iron, which has been studied poorly in relation to the virulence of S. pyogenes. Interestingly, one of the earliest associations between hemolysin production and iron acquisition by S. pyogenes was made by Griffiths and McClain (14). They utilized dialyzed brain heart infusion, which was chelated of all ions and then supplemented with essential cations and iron concentrations of up to 5.0 µg/ml, to determine the effect of iron concentration on hemolysin production. Griffiths and McClain showed that the hemolytic activity of S. pyogenes was affected by iron concentration, suggesting that the sag operon responded to iron as an extracellular signal. Furthermore, the hemolytic ability of S. pyogenes has been proposed as a means for this organism to acquire iron by lysing host cells (2, 10).
Iron additions at 1.0 and 1,000 µM were selected for relative gene expression analysis since neither appeared to significantly affect the growth kinetics of MGAS166 (Fig. 1C). Relative to higher iron concentrations, lower iron concentrations induced the expression of siaA but not of sagA (Fig. 5). These data are consistent with the finding that siaA is induced under limited iron conditions (2, 19). The sagA gene, however, was not up-regulated under the lower iron concentrations, though it was up-regulated at higher iron concentrations. There are two possible explanations for this result. First, once iron becomes accessible (low-iron concentrations) through uptake by the sia operon or another iron acquisition system of S. pyogenes, SLS need not be up-regulated to lyse red blood or other host cells in order to release intracellular iron. Second, one of the circumstances during which S. pyogenes could encounter conditions of high-iron concentrations during an infection is within macrophages following phagocytosis. Once phagocytosed, a bacterium is exposed to high levels of iron within the macrophages; this exposure stimulates the formation of damaging reactive oxygen species through the Fenton reaction (28). Although S. pyogenes possesses defense mechanisms against oxidative stress (12, 13, 16, 17, 29), it would also be advantageous for the organism to increase the production of its potent cytolysin SLS to allow it to escape from the macrophages. S. pyogenes has been shown to escape from the phagocytic vacuoles of polymorphonuclear leukocytes and escape into the cytoplasm where the bacteria not only remain viable but also are able to multiply (25). Although the mechanism by which this occurs is not known, it is possible that SLS plays a role in the process.
In conclusion, we demonstrated that sagA responds in a quorum-sensing manner, whereas siaA is stimulated under reduced iron conditions. Although SLS induced the aforementioned genes, only sagA expression responded in a growth-dependent manner. Future work analyzing the interplay between hemolysin production and iron acquisition will be useful for providing a comprehensive understanding of this pathogen.
Published ahead of print on 16 July 2007. ![]()
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