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Journal of Bacteriology, April 2006, p. 2983-2992, Vol. 188, No. 8
0021-9193/06/$08.00+0 doi:10.1128/JB.188.8.2983-2992.2006
Copyright © 2006, American Society for Microbiology. All Rights Reserved.
Department of Oral Biology, College of Dentistry,1 Department of Molecular Genetics and Microbiology, College of Medicine, University of Florida, Gainesville, Florida 326102
Received 3 November 2005/ Accepted 23 January 2006
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Biofilms are surface-attached, structurally and compositionally complex bacterial communities (17, 31-33). Accumulating data suggest that bacterial cells in biofilms interact with and coordinate the expression of a wide range of genes in response to evolving environmental conditions, including pH, oxygen, carbon source and nutrient availability, cell density, and the presence of a solid surface. A series of highly coordinated physiological and biochemical functions is required for the bacteria to form mature biofilms in response to environmental cues (17, 31-33). The development of highly structured biofilms, however, gives the adherent populations the flexibility to cope with fluctuating environments and the selective advantages that surface association offers (17).
Recent studies have revealed that several genetic regulatory networks in S. mutans are required for bacterial adherence, biofilm accumulation, and growth under the conditions encountered during biofilm formation. The cell-density-dependent Com system, which is known to regulate genetic competence in S. mutans and other naturally competent streptococci, plays a significant role in biofilm formation and acid tolerance (20, 21). The LuxS enzyme, which is responsible for the production of autoinducer signal molecules that are involved in interspecies communication in a wide range of bacteria, affects acid and oxidative stress tolerance, as well as biofilm accumulation and biofilm structure (24, 32, 34). Likewise, global regulators, including CcpA, RelA, and trigger factor (RopA), and certain two-component signal transduction systems play significant roles in biofilm formation and resistance to acid and oxidative stresses (6, 19, 21, 32-34).
In a previous report, we described the identification of a gene, designated brpA, which encodes a predicted surface-associated protein with high levels of similarity to LytR of Bacillus subtilis and CpsX of Streptococcus agalactiae (32). The BrpA-deficient mutant was found to cause severe defects in biofilm formation on polystyrene surfaces when grown in a glucose-containing, semidefined biofilm medium (32, 36) and displayed increases in autolysis and formed long chains (11, 32). Recently, Nakano et al. found that BrpA deficiency weakened phagocytosis by human polymorphonuclear leukocytes but increased platelet aggregation and the duration of bacteremia, suggesting that BrpA may be involved in systemic virulence in blood (25). In this study, we continued our characterization of the BrpA-deficient mutant by using biofilm models that more closely mimic conditions in the oral cavity and explored the stress tolerance properties of strains lacking BrpA. Microarray analysis was also used to investigate the impact of loss of BrpA on the transcriptome and to begin to understand how BrpA influences biofilm formation and stress tolerance in S. mutans.
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Acid killing and hydrogen peroxide challenge assays. The ability of bacterial cells to withstand acid and hydrogen peroxide challenges was determined by using procedures described elsewhere (33).
Electron and confocal laser scanning microscopy. For samples that were to be examined by scanning electron microscopy (SEM), biofilms were grown on hydroxylapatite (HA) disks (0.5" in diameter and 0.04" to 0.06" in thickness, catalog no. 050800-02; HiMed, Inc., Old Bethpage, NY) that were deposited in 24-well culture clusters for 24 h and analyzed by SEM at the University of Florida EM core facility laboratory as previously described (33). For confocal laser scanning microscopy (CLSM), BM with 18 mM glucose and 2 mM sucrose (BMGS) plus kanamycin (100 µg/ml) was used as the growth medium and three-channel flow cells were used to support the growth of biofilms (5). The fully assembled flow cell system (4 mm width x 40 mm length x 1 mm depth; Stovall Life Science, Inc. Greensboro, NC) was maintained in a 37°C warm room. Overnight cultures were transferred to fresh BHI broth and allowed to grow until the optical density at 600 nm (OD600) equaled approximately 0.5. The cultures were then diluted 1:100 in BMGS, and 0.5 ml of the diluted cultures was injected into the flow cell after medium flow was arrested. After 1 h, the medium pump was turned on at a flow rate of 13 ml h1. Biofilms formed on the coverslips were optically dissected at 4, 16, and 28 h after the initial inoculation by using an MRC-1024 ES confocal laser scanning system (Bio-Rad, Hercules, CA) at the University of Florida optical microscopy facility. Images were obtained using a 60x oil objective plus a 1.5 amplification factor. Simulated xyz three-dimensional images were generated by using MCID Elite 6.0 (Imaging Research, Inc., St. Catharine, Canada). Images were further colorized for display by using Adobe Photoshop.
RNA extraction.
S. mutans strains were grown in 50 ml of BHI broth and harvested at an OD600 of
0.5 by centrifugation at 3,800 x g at 4°C for 5 min. The pellets were quickly resuspended and treated with RNAprotect (QIAGEN, Inc., CA) by using the procedures recommended by the supplier. The treated cells were collected by centrifugation at 3,800 x g at 4°C for 10 min and stored at 80°C. RNA extractions were performed by using hot phenol as previously described (33). To remove all DNA, the purified RNAs were treated with DNaseI (Ambion, Inc., Austin, TX) and retrieved with the RNeasy purification kit (QIAGEN, Inc., CA). To prepare a reference RNA, S. mutans UA159 was grown in 3 liters of BHI until mid-exponential phase (OD600
0.5) and total RNA was extracted as described above. The purified RNA was then aliquoted and stored at 80°C until use.
cDNA synthesis, Cy dye coupling and array hybridization. Array analysis was performed by using the whole-genome S. mutans microarrays that were obtained from PFGRC at TIGR (http://pfgrc.tigr.org). The S. mutans genome array consisted of 70-mer oligonucleotides representing 1,960 open reading frames from strain UA159. The full 70-mer complement was printed four times on the surface of the slides. Experiments, including cDNA synthesis, Cy dye coupling, hybridization, and washing, were performed by using protocols from the PFGRC (http://pfgrc.tigr.org/protocols.shtml) with minor modifications. Briefly, cDNA synthesis was carried out in a total volume of 45 µl by mixing 10 µg total RNA with 3 µg random hexamers (Invitrogen Life Technologies, CA), 9 µl 5x first-strand buffer, 4.5 µl 0.1 M dithiothreitol, 2 µl 12.5 mM dNTP/aa-UTP with a 1.5- to-1 ratio of aa-dUTP to dTTP, and 3 µl Superscript III reverse transcriptase. This mixture was incubated at 42°C for 16 h. Following the completion of cDNA synthesis, RNA was hydrolyzed with NaOH and the aminoallyl-labeled cDNA samples were purified by using the QIAGEN QIAquick PCR purification kit, followed by drying in a speed vacuum. The samples were then resuspended in 5 µl 0.1 M NaCO3 and incubated with 5 µl of Cy dye (resuspended as recommended by the manufacturer) for 2 h in the dark. For all experiments, the reference RNA samples were coupled to Cy5 and both wild-type and the BrpA-deficient mutant RNA samples were coupled to Cy3. Uncoupled Cy dyes were removed by the QIAquick PCR purification kit, and the coupled samples were eluted in 100 µl elution buffer. Each Cy3-labeled experimental sample was mixed with a Cy5-labeled reference sample, and the mixtures were allowed to dry in a speed vacuum. To hybridize, the samples were resuspended in 60 µl hybridization buffer and heated at 90°C for 10 min. Following a quick centrifugation, the Cy dye-coupled probes were applied to microarray slides and incubated at 42°C in a water bath for 17 h. Slides were then washed and scanned by using an Axon GenePix 4000B scanner (Axon Instruments, Foster City, CA).
Array data normalization and statistical analysis. Data were collected from at least four separate array slides, which contained four copies of the genome, with RNA isolated from four independent experiments. The raw data were loaded into the TIGR Spotfinder program (http://www.tigr.org/software) and further normalized with the TIGR microarray data analysis system (http://www.tigr.org/software) using LOWESS iterative log mean centering parameters with the default settings, followed by in-slide replicate analysis. Spots that were missing or labeled as "bad" during the upstream processes in 50% of the slides were cut off in the output files. The ratios of channel A over channel B were then converted to log2 values and analyzed with BRB array tools (version 3.01, developed by Richard Simon and Amy Peng Lam, National Cancer Institute, Bethesda, MD; http://linus.nci.nih.gov/BRB-ArrayTools.html). A pairwise Student's t test was used to analyze the mean log ratios of the BrpA-deficient strain and the wild type, and genes that were differentially expressed with the significance level of a P value of <0.001 were selected.
Real-time PCR. RNA was isolated as described above, and cDNA was synthesized with 1 µg of total RNA by using the iScript cDNA synthesis kit (Bio-Rad Laboratories, CA) with random nonamers as primers by following the procedures recommended by the manufacturer. Real-time PCR was carried out with a Bio-Rad iCycler by using gene-specific primers (Table 1) and procedures that were detailed elsewhere (2).
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TABLE 1. Primers used in this study
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In this study, we used hydroxylapatite disks, an in vitro model of tooth enamel, and scanning electron microscopy to further characterize the BrpA-deficient mutant. TW14 bound to the HA disks, albeit less effectively than did UA159, forming scattered long chains and microcolonies on the HA disk surfaces (Fig. 1). However, similar to what we observed in the microtiter model, the mutant was not able to accumulate and develop into multicellular, three-dimensional biofilms (Fig. 1). When sucrose was provided as the carbohydrate source, both UA159 and TW14 formed better biofilms than they did in medium with glucose as the supplemental carbohydrate source but the depth of biofilms formed by the mutant was still less than that of strain UA159. Also, the biofilms formed by TW14 were thin and scattered relative to the evenly distributed biofilms formed by the wild-type strain. There were also more apparently broken cells and cell debris in TW14 biofilms than in UA159 biofilms under SEM at higher magnifications (data not shown), which perhaps was related to the increased autolysis of TW14 (11, 32). In an attempt to evaluate the viability of the biofilm populations, we used the LIVE/DEAD BacLight fluorescent dye (Molecular Probes, OR) and CLSM to analyze biofilms formed on 16-well Lab-Tek chamber slides (Nalge Nunc International, IL) by using the method of Hazlett et al. (15). It was found that in comparison to the wild-type strain, TW14 on glass slides had more dead cells scattered throughout the biofilms (Fig. 2). Considering the fact that the BrpA deficiency increases autolysis (11, 32), the observation that TW14 had decreased viability is not totally surprising. Decreases in viability could also contribute to the observed defects in biofilm formation by TW14.
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FIG. 1. SEM analysis of biofilms by S. mutans strains. Biofilms of S. mutans strains UA159 (panels 1 and 3) and TW14 (panels 2 and 4) were allowed to form for 24 h on hydroxylapatite disks that were deposited in 24-well cell culture clusters in semidefined BM medium with 20 mM glucose (panels 1 and 2) or sucrose (panels 3 and 4) as the supplemental carbohydrate sources. Data presented here are representative of three independent experiments.
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FIG. 2. Live/dead staining of biofilms. S. mutans strains UA159 and TW14 were grown in BM with 18 mM glucose and 2 mM sucrose (BMSG) as the supplemental carbohydrate sources in 16-well Lab-Tek chamber slides, stained with LIVE/DEAD BacLight fluorescent dye, and analyzed with CLSM. Data presented here are representative of three independent experiments.
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FIG.3. CLSM analysis of biofilms grown in flow cells. S. mutans strains UA159 and TW14 were grown in three-channel flow cells on BMGS. Upper panels show compressed z sections of 4-h biofilms of UA159 (W4) and its BrpA-deficient mutant, TW14 (B4), respectively. Lower panels show the xyz and xz image reconstructions of 28-h biofilms of the wild type (W-xyz and -xz) and the BrpA mutant (B-xyz and -xz), respectively. Dimensions of the regions displayed are 512 by 512 µm. Data presented here are representative of three independent experiments.
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BrpA is required for stress tolerance. Accumulating data suggest that biofilm formation is a highly regulated process and that formation of mature biofilms requires the cooperation of a wide range of gene products, including those that are involved in acid and oxidative stress tolerance (17, 31, 32). When grown in BHI adjusted to pH 5.0, the wild-type strain UA159 had a final OD600 of 0.49 after 48 h, but the BrpA-deficient mutant TW14 achieved an optical density of only 0.24, indicative of a role for BrpA in acid tolerance. The stress tolerance properties of strains UA159 and TW14 were further analyzed by acid killing and hydrogen peroxide challenge (33). As shown in Fig. 4, BrpA deficiency significantly increases the susceptibility of S. mutans both to acid killing and to oxidative stress induced by hydrogen peroxide. The survival rate of TW14 was 1 log lower than that for UA159 when incubated in buffer at pH 2.8 for 45 min. As expected, the possession of brpA in trans was able to restore the capacity to tolerate acid stress in TW14 (data not shown). Similar observations of diminished acid tolerance in strains lacking BrpA were also made by Nakano et al. (25). When challenged by incubation in 0.2% hydrogen peroxide for 90 min, the survival rate of TW14 was at least 3 logs lower than that of the wild-type strain (Fig. 4). Increases of autolysis of TW14 as a result of BrpA deficiency (11, 32) could contribute, at least in part, to the observed increases in susceptibility of TW14 to acid and oxidative stresses.
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FIG. 4. Acid killing (left) and hydrogen peroxide challenge (right) assays. For acid tolerance assays, S. mutans strains were grown in BHI until mid-exponential phase (OD600 0.3), harvested by centrifugation, washed once with 0.1 M glycine buffer (pH 7.0), and then subjected to acid killing at pH 2.8 for 45 min. Survival cells were plated on BHI agar plates in triplicate, and the results were expressed as survival rate over time. For hydrogen peroxide challenge, the properly washed cells were resuspended in 0.1 M glycine buffer (pH 7.0) containing 58.8 mM (0.2%, wt/vol) hydrogen peroxide for 2 h. The survival cells were then plated on BHI agar plates in triplicate. Data presented here are representative of at least three independent experiments.
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Two-dimensional gel electrophoresis of whole-cell extracts of UA159 and TW14 provided evidence that BrpA deficiency may have global effects on gene expression in S. mutans. A comparison of the protein profiles of silver-stained two-dimensional gels of UA159 and TW14 revealed that the quantities of more than 100 proteins were altered in response to BrpA deficiency (Fig. 5). These results suggest that changes in protein expression in response to loss of BrpA are substantial and could account for the defects in biofilm formation and stress tolerance.
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FIG. 5. Silver-stained two-dimensional gels of UA159 and TW14. S. mutans strains were grown in BHI to mid-exponential phase (OD600 0.3). Clarified whole-cell lysates (50 µg) were subjected to two-dimensional electrophoresis using 2% ampholines at pH 4 to 8 (33). The triangles indicate the internal standard, tropomyosin, with a pI of 5.2 and a molecular weight of 32,700.
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0.3) cultures of strains UA159 and TW14 grown in BHI and expression profiles were analyzed by DNA microarrays. More than 41 genes were identified as up- or down-regulated by a factor of at least 1.5-fold and a P value of <0.001 in response to BrpA deficiency (Tables 2 and 3). It is apparent that the differences in expression levels of the affected genes were small compared to those of highly regulated genes in eubacteria, so the loss of BrpA does not radically alter the transcriptome. However, on closer examination, the changes in gene expression induced by BrpA deficiency have the potential to profoundly affect cellular physiology and to account for the observed phenotypes. |
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TABLE 2. Up-regulated genes identified by microarray analysis
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TABLE 3. Down-regulated genes identified by microarray analysis
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Among the up-regulated genes were those encoding apparent homologues of the manganese-type superoxide dismutase (SOD), a hydrogen peroxide-forming NADH oxidase (Nox) and peroxide resistance protein (Dpr). In streptococci, Nox, SOD, and Dpr are thought to play major roles in oxidative stress tolerance (16, 23, 26, 35) and are highly inducible by oxidative stresses. Elevated expression of the respective genes in TW14 therefore suggests that BrpA deficiency may signal oxidative stress. The result of hydrogen peroxide challenge assays (Fig. 4) further supports a connection between BrpA-defects and oxidative stress. The actual mechanism of the induction of enzymes involved in oxygen metabolism and the basis for enhanced H2O2 sensitivity remain to be studied, although envelope defects are likely to contribute to the observed phenotypes.
It is noteworthy that at a significance level of a P value of <0.01, 162 additional genes were identified as differentially expressed in the BrpA-deficient mutant by a factor of at least 1.5-fold (data not shown). Among the down-regulated genes were those that encode glucan-binding protein (GbpD) and recombination protein (RecA), and those for the F1Fo proton-translocating ATPase (F1Fo-ATPase), which are transcribed as an operon (3, 18). GbpD is unique to the mutans streptococci and contains repeated domains commonly found in glucan-binding proteins (30). In fact, GbpD was found to be capable of binding to glucans and the deficiency of GbpD caused decreases in the hydrophobicity of bacterial cells and their binding to hard surfaces. Glucans, especially the water-insoluble
1,3-linked glucose polymers, are the major architectural features of S. mutans biofilms. The ability of S. mutans to produce and to bind to extracellular glucans plays major roles in bacterial adherence and biofilm accumulation when grown on sucrose (4, 15, 27). Thus, the altered expression of GbpD could affect intercellular adhesive interactions that negatively affect biofilm formation. Notably, GbpD has also been shown to have lipase activity and may be involved in membrane biogenesis or turnover (30), which could affect the composition or integrity of the cell envelope and possibly contribute to the stress-sensitive phenotype.
The F1Fo-ATPase is the major enzyme that is responsible for the maintenance of
pH in mutans streptococci (7, 29). In S. mutans, the genes for the F1Fo-ATPase are arranged as an operon (3, 18). To verify the down-regulation of F1Fo-ATPase, real-time PCR was conducted with primers that were specific for the beta subunit (atpD), which is the second to the last of the operon. Results showed that as a result of BrpA deficiency, the expression of atpD was decreased by 46% (Table 4), consistent with the result of array analysis. Thus, the down-regulation of F1Fo-ATPase as a result of BrpA deficiency appears to contribute to the enhanced acid sensitivity of the mutant. Recombinant protein RecA, a key enzyme in DNA repair, has also been shown to be involved in acid tolerance in S. mutans (28). The down-regulation of RecA, as shown both by array analysis and real-time PCR, would likely have an impact on the repair of DNA that was damaged by acid and oxidative stresses and therefore may be part of the underlying factors that are responsible for the weakened stress tolerance by TW14.
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TABLE 4. Real-time PCR analysisa
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We would also like to thank NIDCR and TIGR for the access to S. mutans microarray slides, Tim Vaught and the Optical Microscopy Facility at the University of Florida Brian Institute for their technical assistance with CLSM analysis, Fred Bennett and the EM Core lab of the university for their help with SEM analysis, and Cecilia Lopez at the University of Florida Department of Molecular Genetics and Microbiology for her expertise and support with DNA array analysis.
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