Streptococcus mutans Protein Synthesis during Mixed-Species Biofilm Development by High-Throughput Quantitative Proteomics

doi:10.1371/journal.pone.0045795

PLoS One. 2012; 7(9): e45795.

Published online 2012 September 25. doi: 10.1371/journal.pone.0045795

PMCID: PMC3458072

Streptococcus mutans Protein Synthesis during Mixed-Species Biofilm Development by High-Throughput Quantitative Proteomics

Marlise I. Klein,¹^* Jin Xiao,^1,³ Bingwen Lu,⁴ Claire M. Delahunty,⁴ John R. Yates, III,⁴ and Hyun Koo^1,²^*

¹Center for Oral Biology, University of Rochester Medical Center, Rochester, New York, United States of America

²Department of Microbiology and Immunology, University of Rochester Medical Center, Rochester, New York, United States of America

³State Key Laboratory of Oral Diseases, Sichuan University, Chengdu, People’s Republic of China

⁴The Scripps Research Institute, La Jolla, California, United States of America

Ping Xu, Editor

Virginia Commonwealth University, United States of America

* E-mail: Marlise_Klein/at/urmc.rochester.edu (MIK); Email: Hyun_Koo/at/urmc.rochester.edu (HK)

Competing Interests: The authors have declared that no competing interests exist.

Conceived and designed the experiments: MIK HK. Performed the experiments: MIK JX CMD BL. Analyzed the data: JX MIK HK BL CMD JRY. Contributed reagents/materials/analysis tools: HK JRY. Wrote the paper: MIK HK.

Received June 17, 2012; Accepted August 24, 2012.

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Biofilms formed on tooth surfaces are comprised of mixed microbiota enmeshed in an extracellular matrix. Oral biofilms are constantly exposed to environmental changes, which influence the microbial composition, matrix formation and expression of virulence. Streptococcus mutans and sucrose are key modulators associated with the evolution of virulent-cariogenic biofilms. In this study, we used a high-throughput quantitative proteomics approach to examine how S. mutans produces relevant proteins that facilitate its establishment and optimal survival during mixed-species biofilms development induced by sucrose. Biofilms of S. mutans, alone or mixed with Actinomyces naeslundii and Streptococcus oralis, were initially formed onto saliva-coated hydroxyapatite surface under carbohydrate-limiting condition. Sucrose (1%, w/v) was then introduced to cause environmental changes, and to induce biofilm accumulation. Multidimensional protein identification technology (MudPIT) approach detected up to 60% of proteins encoded by S. mutans within biofilms. Specific proteins associated with exopolysaccharide matrix assembly, metabolic and stress adaptation processes were highly abundant as the biofilm transit from earlier to later developmental stages following sucrose introduction. Our results indicate that S. mutans within a mixed-species biofilm community increases the expression of specific genes associated with glucan synthesis and remodeling (gtfBC, dexA) and glucan-binding (gbpB) during this transition (P<0.05). Furthermore, S. mutans up-regulates specific adaptation mechanisms to cope with acidic environments (F1F0-ATPase system, fatty acid biosynthesis, branched chain amino acids metabolism), and molecular chaperones (GroEL). Interestingly, the protein levels and gene expression are in general augmented when S. mutans form mixed-species biofilms (vs. single-species biofilms) demonstrating fundamental differences in the matrix assembly, survival and biofilm maintenance in the presence of other organisms. Our data provide insights about how S. mutans optimizes its metabolism and adapts/survives within the mixed-species community in response to a dynamically changing environment. This reflects the intricate physiological processes linked to expression of virulence by this bacterium within complex biofilms.

Introduction

Virulent biofilms formed on surfaces are associated with many human infections, including those occurring in the mouth. The disease dental caries is a prime example of the consequences arising from complex interactions that occur in the mouth between specific oral bacteria (and their products), host saliva and dietary carbohydrates. These interactions modulate the transition from a healthy condition to a disease state (dental caries) by promoting the establishment of cariogenic biofilms on the susceptible tooth surface. The cariogenic biofilm consist of a highly acidogenic and aciduric microbiota enmeshed in an exopolysaccharides (EPS)-rich matrix, which creates a highly adhesive, cohesive and acidic milieu [1], [2], [3], [4]. The acidic milieu eventually leads to the clinical onset of cavitation through acid demineralization of the adjacent enamel.

Exopolysaccharides are key components of the matrix and proven virulence factors associated with pathogenesis of dental caries [5], [6]. In the mouth, a complex and diverse microbial community is interacting with the pellicle on tooth surfaces, to which a small group of organisms (oral Streptococci and Actinomyces spp) can adhere [7], [8], [9], [10]. Cariogenic organisms such as S. mutans can also be present in this initial colonizing community, albeit usually in low number [1], [7], [10]. However, environmental changes such as frequent consumption of dietary sucrose dramatically influence the development of cariogenic biofilms, by providing a substrate for EPS synthesis and acid production.

The EPS are formed in situ by glucosyltransferases (Gtfs) from S. mutans present on the tooth-pellicle and bound on bacterial surfaces [4], [10]. The surface-formed polymers provide bacterial binding sites for subsequent colonization and local accumulation of S. mutans and other organisms on the tooth surface [4]. If sucrose is constantly available, the continuous EPS production further enmeshes the microbial cells forming microcolonies, resulting in a highly structured three dimensional (3D) matrix in virulent-cariogenic biofilms [11], [12], [13]. In parallel, the bacterial cells embedded in the matrix and clustered within 3D microcolonies can convert sucrose (and other fermentable carbohydrates) into acids, which in turn are trapped within EPS-rich milieu [13]. The resulting low pH microenvironment selects aciduric organisms [1], [2]. Therefore, S. mutans and sucrose are key modulators for the evolution of cariogenic biofilms.

As the environmental pH, EPS content and microbial composition change in the complex 3D architecture, the molecular pathways required for optimal metabolism and survival of S. mutans may be adapted in response to a dynamically changing milieu allowing this bacterium to thrive. How these changes mediate S. mutans responses at protein level particularly in the context of ecological biofilm concept [1] and within a highly cohesive and acidic 3D environment [13] remain to be elucidated. Although much has been known about S. mutans physiology and gene expression, most research has been done in planktonic or single-species biofilms without regard to the complex microbial and biochemical changes occurring simultaneously. Therefore, we used a mixed-species ecological biofilm model [12], [13] and MudPIT, a powerful and innovative method [14], [15], to comprehensively characterize S. mutans proteome profile over the course of biofilm formation and maturation.

Materials and Methods

Bacterial Strains

Streptococcus mutans UA159, serotype c (ATCC 700610), Actinomyces naeslundii ATCC 12104 and Streptococcus oralis ATCC 35037 were used for biofilm formation. These representative organisms found in the mouth have been previously used to mimic the ecological biofilm concept [12], [13] (Figure S1). Streptococcus oralis and Actinomyces naeslundii are well established early colonizers in the mouth while S. mutans is a proven virulent (cariogenic) oral pathogen. Furthermore, Streptococcus oralis ATCC 35037 produces soluble glucans, and can be highly acid tolerant [16]. A. naeslundii may be associated with development of root caries [17]; the strain 12104 is acidogenic and produces EPS (i.e. fructans) [18], [19]. The cultures were stored at –80°C in tryptic soy broth containing 20% glycerol.

Biofilm Preparation

The mixed-species biofilm model is based on a batch culture approach using saliva-coated hydroxyapatite (sHA) discs, and was designed to mimic the formation of biofilms according to “ecological plaque-biofilm” concept [17] as described by Koo et al. [12] and Xiao et al. [13] (details of this model are depicted in the Figure S1A). Streptococcus mutans UA159, A. naeslundii ATCC 12104 and S. oralis ATCC 35037 cells were grown in ultra filtered (10 kDa molecular-weight cut-off membrane; Prep/Scale, Millipore, MA) buffered tryptone-yeast extract broth (UFTYE; 2.5% tryptone and 1.5% yeast extract, pH 7.0) with 1% glucose at 37°C and 5% CO₂ to late-exponential phase (OD_{600 nm} 1.0 for streptococci and OD_{600 nm} 1.5 for A. naeslundii). For mixed-species biofilms, the bacterial suspensions were mixed to provide an inoculum with a defined microbial population of S. mutans (10² colony-forming unit - CFU/ml), A. naeslundii (10⁶ CFU/ml), and S. oralis (10⁷ CFU/ml). For single-species biofilms, only S. mutans (10² CFU/ml) was added to the culture medium. Biofilms were formed on hydroxyapatite discs (1.25 cm diameter, Clarkson Chromatography Products, Inc., South Williamsport, PA) coated with filter-sterilized clarified human whole saliva (sHA), which were placed in a vertical position using a custom-made disc holder [12], [20]. The mixed population of S. mutans, A. naeslundii plus S. oralis and the single-species population (S. mutans only) were inoculated separately in 2.8 ml of UFTYE with 0.1% sucrose, and incubated at 37°C and 5% CO₂. During the first 19 h, the organisms were grown undisturbed to allow initial biofilm formation. At 19 h, the culture medium was replaced by transferring the custom-made disc holder with biofilms using a forceps to wells with fresh media (UFTYE containing 0.1% sucrose). The biofilms were grown until 29 h for establishment of mixed-species community [12]. At 29 h of biofilm growth, both mixed-species and S. mutans biofilms were transferred to UFTYE containing 1% sucrose to induce environmental changes to simulate a cariogenic challenge. The culture medium was then changed twice daily (at 8 am and 6 pm) until the end of the experimental period. At 29 h, S. oralis (a non-cariogenic species) is the predominant species; but an ecological shift occurs after the introduction of 1% sucrose and S. mutans becomes the dominant species in this mixed-species system at 115 h. The dynamic changes in the proportions of S. mutans, S. oralis and A. naeslundii observed in our model [12], [13] are in line with those found in dental plaque linked with dental caries development (as reviewed by Marsh [1] and Takahashi and Nyvad [10]).

S. mutans Proteome Analysis

Sample preparation for mass spectrometry

At 67 and 115 h of biofilm experiment, biofilms were removed, transferred to 2 ml of 0.89% NaCl solution containing protease cocktail inhibitor (Roche) and homogenized by two sonication steps. The first step was done by water bath sonication to help remove biofilms from the sHA surface (5 min/cold water). Then, the biofilms were scraped off the HA discs with a sterilized metal spatula, the discs were removed and a second sonication using a probe was performed (30 sec, 7 watts, samples on ice). Aliquots were taken for bacteria population assessment by qPCR [21], [22] (because protease inhibitor affected CFU assessment; data not shown), and for total protein quantification (by acid digestion followed by ninhydrin assay [23]). The remaining biofilms suspensions were centrifuged and the supernatants stored in 50 ml tubes. The cell pellets were washed twice with 0.89% NaCl solution containing protease cocktail inhibitor, and the supernatants were mixed with the first supernatant. The biofilm pellets (cellular fraction) and corresponding supernatants (soluble fraction) were frozen at −80°C, and next day the supernatant were lyophilized. Each cell pellet was suspended in 800 µl of lysis buffer (0.5% TritonX-100, 200 mM DTT, 50 mM Tris HCl, pH 8.0) and the suspension was sonicated on ice-cold water for 60 minutes. 267 µl of 100% trichloroacetic acid (TCA) was added to each sample to achieve a final TCA concentration of 25%. Samples were vortexed briefly, incubated on ice for 3 hours and spun at 14,000 rpm for 10 minutes. The supernatant was discarded. The pellet was washed twice with 200 µl of ice-cold acetone and acetone was discarded after spinning at 14,000 rpm for 5 minutes. Pellets and soluble fractions were treated with 150 µl of 100 mM Tris-HCl (pH 8.5) with 8 M urea, and agitated to dissolve proteins. 6 µL of 0.5 M DTT was added and the samples were shaken at 37°C for 15 minutes. Samples were cooled to room temperature (RT) and 12 µl of 0.25 M iodoacetamide was added. Samples were incubated for 20 minutes in the dark at RT. 600 µl of 100 mM Tris-HCl (pH 8.5) was added so that final urea concentration was <2 M. Trypsin was added in a 1 [ratio]

100 ratio and samples were shaken in a bench-top shaker at 37°C overnight. Formic acid was added to a final concentration of 4% and samples were spun at 14,000 rpm for 20 minutes. Samples were transferred to another eppendorf tube and 100 µg total protein was removed for loading onto a microcapillary column.

MudPIT

Each protein digest was pressure-loaded onto a fused silica capillary column containing 2.5 cm of Partisphere strong cation exchanger (SCX) (Whatman, Clifton, NJ) followed by 2.5 cm of 10 µm Aqua C18 (Phenomenex, Ventura, CA) packed into a 250-µm i.d. capillary (Polymicro Technologies, Phoenix, AZ) with a 1 µm frit. The column was washed for 60 minutes with buffer containing 95% water, 5% acetonitrile, and 0.1% formic acid. After washing, a 100–µm i.d. capillary with a 5-µm pulled tip packed with 10 cm 3-µm Aqua C18 material (Phenomenex, Ventura, CA) was attached via a union. The entire split-column was placed in line with an Agilent 1100 quaternary HPLC (Palo Alto, CA) and analyzed using a modified 12-step separation similar to those described previously [14]. The buffer solutions used were 5% acetonitrile and 0.1% formic acid (buffer A), 80% acetonitrile and 0.1% formic acid (buffer B), and 500 mM ammonium acetate, 5% acetonitrile and 0.1% formic acid (buffer C). Step 1 consisted of a 60 min gradient: 0–15 minutes, 0–50% buffer B; 15–40 minutes, 50–90% buffer B; 40–60 minutes, 90-0% buffer B. Steps 2–12 had the following profile: 15 min of X% buffer C, a 45 min gradient from 0–50% buffer B, a 40 min gradient from 15–100% buffer B and a 20 minute gradient from 100-0% Buffer B. The 15 min buffer C percentages (X) were 5, 10, 20, 30, 40, 50, 60, 70, 80, 90 and 100%, respectively, during the 12-step analysis.

As peptides eluted from the microcapillary column, they were electrosprayed directly into an LTQ-Orbitrap mass spectrometer (ThermoFinnigan, Palo Alto, CA) with the application of a distal 2.4 kV spray voltage. A cycle of one full-scan mass spectrum (400–1400 m/z) followed by 8 data-dependent MS/MS spectra at a 35% normalized collision energy was repeated continuously throughout each step of the multidimensional separation. Application of mass spectrometer scan functions and HPLC solvent gradients were controlled by the Xcalibur datasystem.

Analysis of tandem mass spectra

The acquired MS/MS spectra were analyzed using the following software analysis protocol. MS/MS spectra were searched with the ProLuCID algorithm [24] or the Sequest algorithm [25] against the NCBI-RefSeq S. mutans database (01/01/2010) and an S. oralis database (01/01/2010) concatenated to a decoy database in which the sequence for each entry in the original database was reversed [26]. All searches were parallelized and performed on a Beowulf computer cluster consisting of 100 1.2 GHz Athlon CPUs [27]. Peptides within 3 amu mass tolerance of the precursor mass and with one or two tryptic ends were considered during the database searches. ProLuCID results were assembled and filtered using the DTASelect (version 2.0) program [28], [29]. DTASelect 2.0 uses a linear discriminant analysis to dynamically set XCorr and DeltaCN thresholds for the entire dataset to achieve a user-specified false positive rate (0.1% in this analysis). The false positive rates are estimated by the program from the number and quality of spectral matches to the decoy database. Therefore, the S. mutans proteins were detected and discriminated from S. oralis and A. naeslundii in the proteome analyses based on unique peptide sequences. Unique peptide sequences are sequence regions that are different between two closely related protein sequences [14], [15]. The use of uniquely identified peptides enables the discrimination between proteins from different species that are closely related, i.e. S. mutans and S. oralis.

We focused on proteins encoded by S. mutans UA159. MudPIT analysis was used to provide a profile of (i) the identity and (ii) abundance (based on spectral counts) of the proteins detected in each condition and time point. The software ProteinCenter was used to categorize the proteins detected in gene ontology (GO) of biological processes; and DAVID to verify the KEGG (Kyoto Encyclopedia of Genes and Genomes) pathways to which the proteins identified belonged to. For protein abundance, the spectrum count was determined by 100 µg of total protein (n

2). The proteome data were normalized using the number of viable cells of S. mutans (based on CFU values) present in the biofilms collected at each time point and condition. In each experiment, extra biofilms were grown side by side to those biofilms used for proteome and processed for platting; the CFU values obtained were used for data normalization. We also confirmed the number of viable cells in the samples submitted to MudPIT by a secondary method based on qPCR and propidium monoazide (which allows amplification of genomic DNA from viable cells only [22]). The number of viable cells calculated by qPCR matched with that from CFU determination. We used CFU values because this was the method of choice during the establishment of our mixed-species biofilm model [12], [13]. Thus, the level of S. mutans protein abundance in mixed-species biofilms was calculated by normalizing the spectrum count to the relative numbers of viable S. mutans, i.e. multiplying the spectrum count values by the ratio of S. mutans CFU to the total CFU in the mixed-species samples.

S. mutans Gene Expression Analysis using Reverse Transcription Quantitative PCR (RT-qPCR)

The biofilms were analyzed at 43, 67, 91, and 115 h of biofilm development. RNA was extracted and purified using standard protocols optimized for biofilms [30]. The RNA integrity number for all of our samples was ≥8.0, as determined by on-chip capillary electrophoresis with the Agilent 2100 Bioanalyzer (Agilent Technologies, Inc., Santa Clara, CA). We performed RT-qPCR to measure the expression profile of S. mutans specific genes directly associated with extracellular polysaccharide matrix development (gtfB, gtfC, ftf, dexA, gbpB); genes involved with ability to cope with acidic environments and other stresses (stress tolerance mechanisms) (atpD, fabM, groES, nox); and genes involved with sugar metabolism (glgP and manL). Briefly, cDNAs were synthesized using 0.5 µg of purified RNA and the BioRad iScript cDNA synthesis kit (Bio-Rad Laboratories, Inc., Hercules, CA). To check for DNA contamination, purified total RNA without reverse transcriptase served as a negative control. The resulting cDNA and negative controls were amplified by a Bio-Rad CFX96 system (Bio-Rad Laboratories, Inc., CA) using specific primers and TaqMan probes (Table S1) and iQ Multiplex Powermix for multiplex reactions or iQ Supermix for singleplex reactions. When Taqman probes were not avalilable, cDNAs and controls were amplified using iQ SYBR Green supermix (Bio-Rad Laboratories) and specific primers [31]. A standard curve was plotted for each primer set as detailed elsewhere [32]. The standard curves were used to transform the critical threshold cycle (Ct) values to the relative number of cDNA molecules. Relative expression was calculated by normalizing each gene of interest to the S. mutans 16S rRNA gene, which is a well-established reference gene [33], [34]. The qPCR runs of a specific gene or a set of specific genes were done side by side with 16S rRNA to reduce variability and enhance reproducibility. The normalization was performed for each experimental sample from 6 distinct experiments in duplicates (n

12). All S. mutans specific primers were tested for cross reactivity to ensure that gene expression of S. mutans can be discriminated from the other species. None of the S. mutans primers cross reacted with either S. oralis or A. naeslundii (data not shown).

An exploratory data analysis of the RT-qPCR data was performed to determine the most appropriate statistical test; the assumptions of equality of variances and normal distribution of errors were also checked. The data were then analyzed using ANOVA, and the F test was used to test any difference between the groups (distinct time points within same experimental condition and different experimental conditions). When significant differences were detected, a pairwise comparison was made between all the groups using Tukey-Kramer HSD method to adjust for multiple comparisons. Statistical software JMP version 3.1 (SAS Institute, Cary, NC, USA) was used to perform the analyses. The level of significance was set at 5%.

Results and Discussion

In this study, we used high-throughput, quantitative proteomics profiling to identify relevant proteins expressed by S. mutans during the development of mixed-species biofilms according to an ecological model. Our results show how S. mutans orchestrates the expression of gene products from distinct pathways (some that overlap) in response to sucrose that facilitates its establishment and optimal survival, in the presence of other bacteria, within a dynamically changing biofilm milieu over time.

S. mutans Survival within Ecological Mixed-species Biofilm Model

Oral biofilms are comprised of mixed microbiota in vivo. The transition from non-pathogenic to pathogenic biofilm involves environmental changes (i.e. introduction of sucrose) that dramatically influence the microbial and the biochemical composition of biofilm. The mixed-species model used here was designed to mimic the ecological and the biochemical changes associated with cariogenic biofilm assembly [12], [13], which include: 1) microbial population shift between initially low abundance S. mutans and the early colonizers present in high numbers (e.g. S. oralis); 2) the introduction of sucrose as environmental challenge, causing biochemical changes (EPS and acid production) and microbial shifts towards dominance of S. mutans at later stages of biofilm formation; and 3) spatiotemporal changes of 3D architecture and environmental pH (Figure S1). We selected two specific time points for proteomic analysis that are based on the population shifts, EPS-matrix and microcolony assembly observed in our mixed-species biofilm model. We selected 67 h because at this time point S. mutans start to shift from initially very low numbers to a major co-habitant while at 115 h S. mutans become the dominant species (Figure S1B). Furthermore, we also used single-species S. mutans biofilms to examine how S. mutans protein synthesis is affected by the presence of additional organisms.

Overview of S. mutans Proteomic Responses during Biofilm Development

The MudPIT approach detected up to 60% of the proteins encoded by S. mutans in biofilm samples (Figure 1; Table S2), which is significantly higher output than standard proteomic analysis of S. mutans using 2D gel electrophoresis [35], [36], [37], [38], [39]. Figure 1 shows the number of S. mutans proteins detected per time point and type of biofilm evaluated.

Figure 1

Number of S. mutans UA159 proteins detected in the biofilms.

The distribution of proteins identified in gene ontology (GO) categories of specific biological processes showed that the highest number was detected for proteins involved in S. mutans metabolic process, followed by unannotated (i.e. uncharacterized) proteins (Figure 2). In addition, the analysis of KEGG (Kyoto Encyclopedia of Genes and Genomes) pathways showed that most proteins detected in both mixed- and single-species biofilms belong to (i) starch and sucrose metabolism (carbohydrate metabolism); (ii) purine metabolism (nucleotide metabolism), (iii) pyrimidine metabolism (nucleotide metabolism); and (iv) aminoacyl-tRNA biosynthesis (protein synthesis) metabolic pathways. As an example, we show the proteins differentially expressed in the starch and sucrose metabolism pathway (Figure 3), which contains some of the critical factors associated with EPS-matrix formation and carbohydrate metabolism.

Figure 2

Distribution of S. mutans UA159 proteins into specific gene ontology (GO) of biological processes.

Figure 3

Sucrose and starch metabolism pathway.

Furthermore, the MudPIT analyses provided quantitative data of the production (i.e. abundance) of each S. mutans protein detected in the biofilm samples tested. The proteins Tuf (elongation factor Tu), Eno (phosphopyruvate hydratase), and DnaK (molecular chaperone) are among the most abundant proteins in all conditions evaluated (Table S2). The MudPIT coupled with spectrum counting is advantageous because it is a label-free large-scale and quantitative proteomic approach [14], [15]. It is a well-proven method for the identification and quantification of almost all proteins types from complex mixtures [14], [15], such as those found in biofilms despite the inherent limitations of the technique (i.e. spectrum counting is not an absolute quantification and may underestimate proteins that are present in very low amounts [15]).

We also analyzed the temporal effect and the presence of other species on S. mutans proteome data. In general, a higher number of proteins were detected at 67 h of biofilm formation for both mixed- and single-species communities (Figure 1). More importantly, the majority of the proteins in most biological processes (such as EPS synthesis and acid tolerance mechanisms) are detected in high abundance at 67 h of mixed-species biofilm development (Figure 2; Table S2). The data suggest that S. mutans cells are highly active with enhanced fitness at 67 h (when S. mutans is trying to outcompete the other species in our model) than at 115 h (when S. mutans is already dominant in the biofilm milieu). The proteome profile of S. mutans grown in a mixed-species community has many differences but also similarities with that from S. mutans forming biofilms alone over time. For example, S. mutans proteins involved with EPS metabolism and specific acid tolerance mechanisms are highly abundant in mixed-species biofilms at 67 h, while their profile does not change much over time in single-species biofilm. In contrast, the profile of the proteins associated with sugar uptake and intracellular polysaccharide storage metabolism are similar irrespective of whether S. mutans is forming biofilms alone or mixed with other bacterial species (Figure 3; Tables 1; 2; S1).

Table 1

Proteins related to EPS synthesis and remodeling.

It is critical to keep in mind that sucrose has dual function in assembling virulent biofilms: energy generation resulting in acid production and EPS matrix formation. The acid produced by bacterial cells entrapped within the EPS-enmeshed microcolonies cannot be readily neutralized, creating various low pH microenvironments within the complex biofilm 3D architecture (Figure S1; [13]). Thus, the acidic niches create favorable conditions for acid-tolerant bacteria to prosper, ensuring continued localized acid production. To thrive in this highly organized, acidic environment and changing ecosystem, S. mutans has sophisticated mechanisms to cope with fluctuation of dietary nutrients and environmental stresses, such as pH [40]. Therefore, we focused on essential metabolic pathways that may be important for S. mutans fitness in a cariogenic model, including proteins related to: (i) EPS synthesis and remodeling (Table 1); (ii) intracellular polysaccharide storage (IPS) and lipoteichoic acid metabolism (Table 2); and (iii) acid tolerance response mechanisms (Tables 3 and and44).

Table 2

Proteins related to IPS and lipoteichoic acid (LTA) metabolism.

Table 3

Proteins related to acid and stress tolerance response: F1F0-ATPase and fatty acid metabolism (linked to membrane composition).

Table 4

Proteins related to acid and stress tolerance response: Proteins responsible for regulation of intracellular pH - branched chain amino acids (BCAA), malolatic fermentation (MLF), and agmatine diamenase system (AgDS).

Proteins Related to EPS Synthesis and Remodeling

The profile of abundance of S. mutans proteins implicated in EPS matrix synthesis (GtfB, GtfC, GtfD, Ftf), remodelling (DexA, FruA), adhesion (GbpA, GbpB, GbpC and GbpD), and regulation (VicRS, GcrG, LuxS, RpoA, CcpA and ManL) are shown in Table 1. Among them, GtfB, GtfC, and GbpB are detected in elevated amounts particularly at 67 h. GtfB synthesizes mostly insoluble glucans (rich in α1,3-linked glucose) while GtfC forms a mixture of insoluble and soluble glucans (mostly α1,6-linked glucose) [4]. Secreted GtfC is primarily incorporated into the tooth-pellicle whereas GtfB preferably attaches to the bacterial surfaces [4]. The insoluble and rigid α1,3-linked glucans produced by these surface-adsorbed Gtfs are essential for the assembly and structural integrity of the matrix and microcolonies, as well as for the maintenance of acidic pH microenvironments within biofilms [13]. GtfB and GtfC are also recognized virulence factors associated with pathogenesis of dental caries in vivo [5], [6], [41].

We also observed that specific regulators of expression of these exoenzymes were detected in S. mutans at 67 h of biofilm development. The two component system VicRK and the LuxS-based signaling system were identified, which have been shown to directly regulate glucan synthesis by GtfB and GtfC [42], [43]. Furthermore, CcpA and ManL were detected in high levels at early stage of biofilm development; they are also implicated with up-regulation of EPS synthesis [44], [45], [46]). Altogether, these observations are congruent with the pattern of Gtfs detected in our biofilm system.

It is also noteworthy that the presence of dextranase (DexA) and fructosyltransferase (Ftf) (albeit less abundant than GtfB and GtfC) may have direct implications on the initial assembly of an insoluble EPS-matrix and with the acidification of the biofilm microenvironment. DexA digest soluble α1,6-linked glucans which provides (i) small dextrans which serve as acceptors for synthesis of insoluble glucans by GtfB, and (ii) provide additional substrates for acid production [47], [48], [49], [50]. Fructans formed by Ftf provide storage of extracellular nutrients, and have high water regain value that help to keep biofilm hydrated [51].

Conversely, synthesis of glucan binding proteins (Gbps) may enhance the ability of S. mutans to interact with the EPS-rich matrix [52]. The adhesion between the bacterial cells and the EPS-matrix may be mediated in part through cell-surface GbpC, and possibly GbpB whereas secreted GbpA and GbpD may be cross-linked with the matrix contributing to the maintenance of the biofilm architecture [53]. The elevated amounts of GbpB observed here may have direct implications for the biofilm morphogenesis and structural integrity, because a conditional mutant for this protein has impaired biofilm accumulation [54].

The presence of proteins associated with EPS synthesis in one hand with others involved with glucan binding processes illustrates how S. mutans builds up the biofilms after the introduction of sucrose, particularly at 67 h (a critical time point where the microbial population shifts occurs towards S. mutans dominance in our biofilm model). We conducted RT-qPCR analysis of selected genes at 67 and 115 h as well as the preceding time points of 43 and 91 h to examine the dynamics of gene expression associated with the proteins of interest. Clearly, the expression of gtfB, gtfC and gbpB were highly induced as the biofilm transits from 43 to 67 h (P<0.05) while their expression declines as S. mutans become the dominant species in the mature 115 h-biofilm (P<0.05), which agrees well with the quantitative proteome data. Although the fold of change in protein synthesis and gene expression does not present the same magnitude in all cases, the trend is conserved (either induction or repression over time).

Furthermore, genes related to EPS synthesis, remodeling and regulation are more highly expressed by S. mutans when grown in a mixed-species community that mimics the ecological plaque model than alone (P<0.05; Figure S2), confirming the proteomic profile between these two biofilm systems. Such differences could explain the structural disparity in the EPS-matrix and the size of microcolonies between mixed- and single-species biofilms (Figure S1).

Thus, the interplay of the gene products involved with glucan synthesis, degradation and binding provide an opportunity for S. mutans, which are initially in low number, to thrive in a mixed-species community by: 1) assembling EPS matrices on which the organism binds avidly through several Gbps, 2) providing additional carbohydrate sources for acid production, and 3) constructing highly cohesive bacterial islets (microcolonies) enmeshed in EPS, which facilitates the creation of acidic niches throughout the biofilm 3D architecture.

Proteins Related to Intracellular Polysaccharide Storage (IPS) and Lipoteichoic Acid (LTA) Metabolism

IPS are glycogen-like storage polymers important for S. mutans virulence and are associated with the pathogenesis of dental caries [55], [56], [57]. IPS provide S. mutans with endogenous source of carbohydrates that can be metabolized when exogenous fermentable substrates have been depleted in the oral cavity. Proteins related to IPS metabolism are abundant at 67 h in mixed-species biofilms (Table 2). In particular, glycogen phosphorylase, a key enzyme in IPS metabolism/synthesis (see Figure 3), is detected in high levels at the earlier time point. The expression of gene glgP is significantly higher at 67 h than at the later time points (P<0.05, Figure 4), which agrees with the temporal trend seen in the proteome data for mixed-species biofilms. These findings indicate increased storage of IPS by S. mutans after introduction of sucrose as the biofilm start to accumulate. A similar profile of protein abundance and gene expression changes between 67 and 115 h was observed with single-species biofilms (Table 2, Figure S2), although some differences in the type of proteins were detected (e.g. high levels of glycogen synthase in single-species vs. high levels of glycogen phosphorylase in mixed-species).

Figure 4

Dynamics of S. mutans gene expression during mixed-species biofilm development.

We also observed another factor that may contribute with IPS accumulation by S. mutans. Proteins DltA, DltC, and DltD, involved with metabolism of LTA, were more abundant at 67 h, and were particularly elevated in mixed-species biofilms (Table 2). This observation is relevant because disruption of expression of dltABCD induced the synthesis of IPS [57], [58]. Whether these proteomic changes can actually increase the amounts of stored IPS in S. mutans within biofilms and how they are triggered by the presence of other organisms awaits further investigation. Furthermore, D-alanyl-LTA is involved with bacterial adhesion to hydroxyapatite and artificial surfaces, and initial biofilm formation process, possibly by incorporating LTA into the extracellular matrix [59], [60], [61]. Interestingly, the defective expression of dltABCD reduced acid tolerance of S. mutans grown in planktonic cultures [62].

Overall, the detection of proteins associated with IPS and LTA metabolism, which are particularly elevated at 67 h in mixed-species system provide additional insights on how S. mutans could establish themselves, survive and respond to an increasingly acidic and EPS-rich microenvironment following the introduction of sucrose.

Proteins Related to Acid Stress Tolerance Response Mechanisms

The assembly of an insoluble EPS matrix and its spatial arrangement with bacterial cells creates acidic and protective microenvironments inside the microcolonies [13]. S. mutans have several mechanisms to cope with stressors such as low external pH and acidification of cytoplasm [2], [40]. Our data showed that S. mutans mounts an intricate yet interconnected response to adapt and to survive acidic stress, which are influenced by the presence of other organisms and biofilm age.

All proteins that encode the F1F0-ATPase system [63] for proton extrusion and ATP generation were detected in mixed-species biofilms (Table 3). Among them, AtpD was the most abundant protein, which has a critical function in the assembly of ATPase complex and is highly induced at low pH [64]. This complex helps to maintain the ΔpH across the bacterial membrane by pumping protons out of the cell. The temporal expression of gene atpD showed that from 43 to 67 h the expression is similar, and then significantly declines at 115 h (P<0.05), confirming the quantitative proteome data (Figure 4).

Low pH triggers changes in the membrane fatty acid composition and also affects the permeability of the membrane to protons [65], [66]. All proteins encoded by the fatty acid biosynthetic gene cluster were also detected (Table 3). This cluster may be connected with ATPase system because the fatty acid composition is important for the optimal function of ATPpase, which is anchored to the membrane. In particular, FabM was detected in high levels at 67 h of mixed-species biofilm development (Table 3). FabM is responsible for the synthesis of monounsaturated fatty acids and is critical for S. mutans survival at low pH [65], [66]. The expression profile of gene fabM confirmed the trend of the protein detection between 67 and 115 h (Figure 4). Thus, the data suggest that S. mutans modulates specific changes in fatty acid profile in the membrane and the assembly of F1F0-ATPase system to ensure an optimal condition to control the protons level in the cytoplasm (and as a result the intracellular pH).

In addition, the proteins directly responsible for cytoplasm alkalinization are also detected in elevated amounts at 67 h of biofilm development (Table 4), which include: 1) the metabolism of branched chain amino acids (BCAA) [40], [67], 2) the malolatic fermentation (MLF) system [68], and 3) agmatine diamenase system (AgDS) (which also produces ATP that can be used for growth or to extrude protons via F1F0-ATPase system [69], [70]). Among them, metabolism of BCAA may have a significant role as its components are abundant (particularly IlvC), and they may have a synergistic role with F1F0-ATPase system and fatty acid composition in the membrane to enhance S. mutans survival in a low pH environment within biofilms. This may occur because S. mutans senses the low pH and modulate the carbon flux from acid production to BCAA biosynthesis [40], [67]. The abundance of MLF related proteins is rather low, and only one protein from the AgDS was detected in our analyses (Table 4), which is not surprising because S. mutans express AgDS at relatively low levels [69], [70]. Thus, the MLF and AgDS systems may have comparatively minor roles in S. mutans tolerance to acidic environment in the biofilms tested.

In summary, the F1F0-ATPase system, the membrane fatty acid biosynthesis and the BCAA metabolism appear to play major roles on acid tolerance, particularly when S. mutans is shifting from a minor to become a major resident within an increasingly acidic milieu found in the interior of microcolonies of mixed-species biofilm. However, the other mechanisms for acid stress adaptation (i.e. MLF and AgDS), even if having a minor role (based on protein abundance), may be also important for overall S. mutans fitness by helping to increase the cytoplasmic pH and generate ATP. The ATP generated can be used by F1F0-ATPase system to extrude protons from the cytoplasm. The expression of such interconnected mechanism is particularly important because the loss of one or more of the stress adaptive mechanisms can lead to a substantial reduction in S. mutans pathogenicity [2], [71].

Other Proteins Related to Responses to Acid Stress

The exposure to acidic environment and other insults found in the biofilms may lead to accumulation of abnormal proteins. S. mutans (and other organisms) uses molecular chaperones and proteases to modulate the stability of proteins and prevent the accumulation of abnormal proteins by overseeing the correct folding [37], [72], [73]. The synthesis of chaperones GroEL, GrpE, DnaJ, DnaK and HtpX was elevated at 67 h of mixed-species biofilm development (Table S3). This finding makes sense because in our analyses the majority of the proteins are highly abundant at this time point, when S. mutans start to become a major co-habitant in the mixed-species biofilm. Therefore, the augmented production of chaperones ensures the quality of proteins being expresses, enabling S. mutans to thrive in this biofilm.

Although we recognize the importance of oxidative and osmotic stresses in the S. mutans physiology in biofilms, we did not analyze the data in greater detail to keep the focus on the acid stress processes. Nevertheless, we did detect high levels of NADH oxidase Nox (a major contributor to oxidative stress response [74]) and transcriptional repressor Rex (linked to coping with oxidative stress [75]), which may indicate that the access of oxygen to the S. mutans cells within the biofilms may be limited likely due to increase of thickness of the biofilms following introduction of sucrose.

In general, the profile of proteins and expression of genes associated with acid tolerance responses (and to other stresses) were different between mixed- and single-species biofilms (Tables 3 and and4;4; Figure S2). Most of the proteins are detected in elevated levels in mixed-species biofilms. The expression of selected S. mutans genes (atpD, fabM, groES, nox) was significantly higher in mixed-species biofilms (vs. single-species) at all time points (P<0.05; Figure S2). These differences are congruent with the overall observations between these two biofilm systems. Clearly, S. mutans growing in mixed-species biofilms has a distinctive fitness, allowing the bacterium to out-compete other co-habitants and to optimally survive the acidic milieu.

In addition, several uncharacterized proteins detected in this study could have an important role in S. mutans fitness and tolerance to environmental stresses within cariogenic biofilms (Table S2). Our data provide opportunities to investigate the function of these proteins in the expression of virulence by this pathogen, especially in the context of ecological biofilm concept. For example proteins encoded by genes SMU.1760 to SMU.1763, SMU.1337, SMU.210 are promising candidates for future studies [76]. The genes SMU.1760 to SMU.1763 are organized in o operon-like gene cluster, and their encoded proteins may be involved in stress response. SMU.1760, SMU.1761, SMU.1762 and SMU.1763 genes are all up-regulated in S. mutans lacking functional SpxA and SpxB [77], which have a global regulatory role in S. mutans stress response to acidic and oxidative environment. The proteins encoded by SMU.1337 (alpha/beta superfamily hydrolases with unassigned function) and SMU.210 (hypothetical protein with unknown function) are particularly abundant at 67 h (during microbial shifts favoring S. mutans) and 115 h (when S. mutans is the dominant species) of biofilm development, respectively. Each may have a distinctive role; SMU.1337 may be an important hydrolytic enzyme for S. mutans fitness and survival, while SMU.210 could be involved with persistence and stress adaptation. These proteins present homology to conserved hypothetical proteins from other bacteria (e.g. Streptococcus pyogenes, Streptococcus gallolyticus subsp. gallolyticus; Streptococcus anginosus; Streptococcus downei), and could have biological relevance to some pathogenic Streptococcus strains, deserving future investigation with defective mutant strains to pinpoint their exact role [76].

Conclusions

The proteome analysis using multidimensional protein identification technology (MudPIT) revealed how S. mutans optimizes its metabolism and adapts, while enhancing its virulence and competitiveness, in response to a dynamically changing environment induced by sucrose within mixed-species biofilms. Moreover, the proteome data matched very well with the results from gene expression analyses using RT-qPCR, demonstrating the usefulness of this label-free quantitative proteomics approach to study the pathophysiological stage of microorganisms within complex biofilms over time.

Our study showed a complex interplay between gene products involved with EPS matrix assembly, remodeling and binding in one hand with specific processes associated with acid stress tolerance mechanisms, which are particularly induced when S. mutans is trying to outcompete other organisms (e.g. S. oralis) present in the biofilm system. In a simplified manner, the augmented production of EPS synthesis/remodeling and glucan-binding proteins helps to assemble a highly insoluble matrix that are uniquely arranged with bacterial cells forming microcolony complexes. At the same time, up-regulation of F1F0-ATPase system (e.g. AtpD), membrane fatty acids byosynthesis (e.g. FabM), and BCAA (e.g. IlvC) overlapping with molecular chaperones appears to be major responses by S. mutans (based on protein abundance and gene expression) to survive and adapt inside the microcolonies, which are highly acidic at 67 h of biofilm development in our system. These biological processes may be the major driving forces behind S. mutans successful establishment in mixed-species biofilms. Thus, novel therapies to control biofilm virulence expression should target them as a whole rather than a single pathway.

Clearly, the spatiotemporal regulation of this intricate yet interconnected network of pathways is highly complex and dynamic, and deserves further investigation both in vitro and in vivo.

Supporting Information

Figure S1

Overall characteristics of the ecological mixed-species biofilm model. A) Experimental design; B) bacterial populational shift over time; C) representative 3D rendering images of mixed-species biofilm 115 h-old (green: bacteria; red: EPS), and a representative area showing microenvironmental pH within biofilm EPS-microcolony complex; and D) 3D structure of S. mutans single-species 115 h-old (adapted from Koo et al. [12]; Xiao et al. [13]).

(TIFF)

Click here for additional data file.^{(5.5M, tif)}

Figure S2

Comparison of S. mutans gene expression in mixed-species versus single-species biofilm at each developmental phase (*P<0.05).

(TIFF)

Click here for additional data file.^{(5.5M, tif)}

Table S1

Primers and TaqMan probes used for RT-qPCR.

(DOC)

Click here for additional data file.^{(43K, doc)}

Table S2

Proteome data generated by MudPIT.

(XLS)

Click here for additional data file.^{(421K, xls)}

Table S3

Proteins related to oxidative and osmotic stresses, and chaperones.

(DOC)

Click here for additional data file.^{(37K, doc)}

Acknowledgments

The authors are thankful to Dr. Mireya González-Begné for technical assistance during lyophilization process of biofilm supernatant fraction.

Funding Statement

This research was supported in part by the Training Program in Oral Sciences R90DE022529 (M.I.K.) and research grants DE16139 (H.K.), P41 RR011823 and U01 DE016267 (J.R.Y.) from the National Institutes of Health. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

1. Marsh PD (1994) Microbial ecology of dental plaque and its significance in health and disease. Adv Dent Res 8: 263–271. [PubMed]

2. Quivey RG Jr, Kuhnert WL, Hahn K (2000) Adaptation of oral streptococci to low pH. Adv Microb Physiol 42: 239–274. [PubMed]

3. Paes Leme AF, Koo H, Bellato CM, Bedi G, Cury JA, et al. (2006) The role of sucrose in cariogenic dental biofilm formation–new insight. J Dent Res 85: 878–887. [PMC free article] [PubMed]

4. Bowen WH, Koo H (2011) Biology of Streptococcus mutans-Derived Glucosyltransferases: Role in Extracellular Matrix Formation of Cariogenic Biofilms. Caries Res 45: 69–86. [PMC free article] [PubMed]

5. Yamashita Y, Bowen WH, Burne RA, Kuramitsu HK (1993) Role of the Streptococcus mutans gtf genes in caries induction in the specific-pathogen-free rat model. Infect Immun 61: 3811–3817. [PMC free article] [PubMed]

6. Mattos-Graner RO, Smith DJ, King WF, Mayer MP (2000) Water-insoluble glucan synthesis by mutans streptococcal strains correlates with caries incidence in 12- to 30-month-old children. J Dent Res 79: 1371–1377. [PubMed]

7. Nyvad B, Kilian M (1990) Comparison of the initial streptococcal microflora on dental enamel in caries-active and in caries-inactive individuals. Caries Res 24: 267–72. [PubMed]

8. Nobbs AH, Lamont RJ, Jenkinson HF (2009) Streptococcus adherence and colonization. Microbiol Mol Biol Rev 73: 407–450. [PMC free article] [PubMed]

9. Valm AM, Welch JL, Rieken CW, Hasegawa Y, Sogin ML, et al. (2011) Systems-level analysis of microbial community organization through combinatorial labeling and spectral imaging. Proc Natl Acad Sci U S A 108: 4152–4157. [PubMed]

10. Takahashi N, Nyvad B (2011) The role of bacteria in the caries process: ecological perspectives. J Dent Res 90: 294–303. [PubMed]

11. Xiao J, Koo H (2010) Structural organization and dynamics of exopolysaccharide matrix and microcolonies formation by Streptococcus mutans in biofilms. J Appl Microbiol 108: 2103–2113. [PubMed]

12. Koo H, Xiao J, Klein MI, Jeon JG (2010) Exopolysaccharides produced by Streptococcus mutans glucosyltransferases modulate the establishment of microcolonies within multispecies biofilms. J Bacteriol 192: 3024–3032. [PMC free article] [PubMed]

13. Xiao J, Klein MI, Falsetta ML, Lu B, Delahunty CM, et al. (2012) The Exopolysaccharide Matrix Modulates the Interaction between 3D Architecture and Virulence of a Mixed-Species Oral Biofilm. PLoS Pathog 8(4): e1002623. [PMC free article] [PubMed]

14. Washburn MP, Wolters D, Yates JR 3rd (2001) Large-scale analysis of the yeast proteome by multidimensional protein identification technology. Nature Biotechnology 19: 242–247. [PubMed]

15. Liu H, Sadygov RG, Yates JR 3rd (2004) A model for random sampling and estimation of relative protein abundance in shotgun proteomics. Anal Chem 76: 4193–4201. [PubMed]

16. Fujiwara T, Hoshino T, Ooshima T, Sobue S, Shigeyuki H, et al. (2000) Purification, characterization, and molecular analysis of the gene encoding glucosyltransferase from Streptococcus oralis. Infect Immun 68: 2475–2483. [PMC free article] [PubMed]

17. Marsh PD (2003) Are dental diseases examples of ecological catastrophes? Microbiology 149: 279–294. [PubMed]

18. Allen PZ, Bowen WH (1990) Immunochemical studies on levans from several strains of Actinomyces viscosus. Arch Oral Biol 35: 55–62. [PubMed]

19. Bergeron LJ, Morou-Bermudez E, Burne RA (2000) Characterization of the fructosyltransferase gene of Actinomyces naeslundii WVU45. J Bacteriol 182: 3649–3654. [PMC free article] [PubMed]

20. Koo H, Schobel BD, Scott-Anne K, Watson G, Bowen WH, et al. (2005) Apigenin and tt-farnesol with fluoride effects on S. mutans biofilms and dental caries. J Dent Res 84: 1016–1020. [PMC free article] [PubMed]

21. Catalan MA, Scott-Anne K, Klein MI, Koo H, Bowen WH, et al. (2011) Elevated incidence of dental caries in a mouse model of cystic fibrosis. PLoS One 6: e16549. [PMC free article] [PubMed]

22. Klein MI, Scott-Anne KM, Gregoire S, Rosalen PL, Koo H. Molecular approaches for viable bacterial population and transcriptional analyses in a rodent model of dental caries. Mol Oral Microbiol. In press. [PubMed]

23. Moore S, Stein WH (1954) A modified ninhydrin reagent for the photometric determination of amino acids and related compounds. J Biol Chem 211: 907–913. [PubMed]

24. Xu T, Venable JD, Park SK, Cociorva D, Lu B, et al. . (2006) ProLuCID, a fast and sensitive tandem mass spectra-based protein identification program. Mol Cell Proteomics 5.

25. Eng JK, McCormack AL, Yates JR 3rd (1994) An Approach to Correlate Tandem Mass Spectral Data of Peptides with Amino Acid Sequences in a Protein Database. J Am Soc Mass Spectrom: 976–989.

26. Peng J, Elias JE, Thoreen CC, Licklider LJ, Gygi S, et al. (2003) Evaluation of multidimensional chromatography coupled with tandem mass spectrometry (LC/LC-MS/MS) for large-scale protein analysis: the yeast proteome. J Proteome Res 2: 43–50. [PubMed]

27. Sadygov RG, Eng J, Durr E, Saraf A, McDonald H, et al. (2002) Code Developments to Improve the Efficiency of Automated MS/MS Spectra Interpretation. J Proteome Res 2: 211–215. [PubMed]

28. Tabb DL, McDonald WH, Yates JR 3rd (2002) DTASelect and Contrast: Tools for assembling and comparing protein identifications from shotgun Proteomics. J Proteome Res 1: 21.26. [PMC free article] [PubMed]

29. Cociorva D, L Tabb T, Yates JR (2007) Validation of tandem mass spectrometry database search results using DTASelect. Curr Protoc Bioinformatics Chapter 13: Unit 13.4. [PubMed]

30. Cury JA, Koo H (2007) Extraction and purification of total RNA from Streptococcus mutans biofilms. Anal Biochem 365: 208–214. [PubMed]

31. Klein MI, DeBaz L, Agidi S, Lee H, Xie G, et al. (2010) Dynamics of Streptococcus mutans transcriptome in response to starch and sucrose during biofilm development. PLoS One 5: e13478. [PMC free article] [PubMed]

32. Yin JL, Shackel NA, Zekry A, McGuinness PH, Richards C, et al. (2001) Real-time reverse transcriptase-polymerase chain reaction (RT-PCR) for measurement of cytokine and growth factor mRNA expression with fluorogenic probes or SYBR Green I. Immunol Cell Biol. 79: 213–221. [PubMed]

33. Koo H, Seils J, Abranches J, Burne RA, Bowen WH, Quivey RG Jr, et al. (2006) Influence of apigenin on gtf gene expression in Streptococcus mutans UA159. Antimicrob Agents Chemother 50: 542–546. [PMC free article] [PubMed]

34. Klein MI, Duarte S, Xiao J, Mitra S, Foster TH, et al. (2009) Structural and molecular basis of the role of starch and sucrose in Streptococcus mutans biofilm development. Appl Environ Microbiol 75: 837–841. [PMC free article] [PubMed]

35. Svensäter G, Welin J, Wilkins JC, Beighton D, Hamilton IR, et al. (2001) Protein expression by planktonic and biofilm cells of Streptococcus mutans. FEMS Microbiol Lett 205: 139–146. [PubMed]

36. Welin J, Wilkins JC, Beighton D, Wrzesinski K, Fey SJ, et al. (2003) Effect of acid shock on protein expression by biofilm cells of Streptococcus mutans. FEMS Microbiol Lett 227: 287–293. [PubMed]

37. Len AC, Harty DW, Jacques NA (2004). Stress-responsive proteins are upregulated in Streptococcus mutans during acid tolerance. Microbiology 150, 1339–1351. [PubMed]

38. Len AC, Harty DW, Jacques NA (2004) Proteome analysis of Streptococcus mutans metabolic phenotype during acid tolerance. Microbiology 150: 1353–1366. [PubMed]

39. Chattoraj P, Banerjee A, Biswas S, Biswas I (2010) ClpP of Streptococcus mutans differentially regulates expression of genomic islands, mutacin production, and antibiotic tolerance. J Bacteriol. 192: 1312–1323. [PMC free article] [PubMed]

40. Lemos JA, Burne RA (2008) A model of efficiency: stress tolerance by Streptococcus mutans. Microbiology 154: 3247–3255. [PMC free article] [PubMed]

41. Vacca Smith AM, Scott-Anne KM, Whelehan MT, Berkowitz RJ, Feng C, et al. (2007) Salivary glucosyltransferase B as a possible marker for caries activity. Caries Res 41: 445–450. [PMC free article] [PubMed]

42. Yoshida A, Ansai T, Takehara T, Kuramitsu HK (2005) LuxS-based signaling affects Streptococcus mutans biofilm formation. Appl Environ Microbiol 71: 2372–2380. [PMC free article] [PubMed]

43. Wen ZT, Yates D, Ahn SJ, Burne RA (2010) Biofilm formation and virulence expression by Streptococcus mutans are altered when grown in dual-species model. BMC Microbiol 10: 111. [PMC free article] [PubMed]

44. Browngardt CM, Wen ZT, Burne RA (2004) RegM is required for optimal fructosyltransferase and glucosyltransferase gene expression in Streptococcus mutans. FEMS Microbiol Lett 240: 75–79. [PubMed]

45. Abranches J, Chen YY, Burne RA (2003) Characterization of Streptococcus mutans strains deficient in EIIAB Man of the sugar phosphotransferase system. Appl Environ Microbiol 69: 4760–4769. [PMC free article] [PubMed]

46. Abranches J, Nascimento MM, Zeng L, Browngardt CM, Wen ZT, et al. (2008) CcpA regulates central metabolism and virulence gene expression in Streptococcus mutans. J Bacteriol 190: 2340–2349. [PMC free article] [PubMed]

47. Stephen KW, Jenkins GN (1971) Studies on some factors affecting plaque pH. Caries Res 5: 28. [PubMed]

48. Guggenheim B, Burckhardt JJ (1974) Isolation and properties of a dextranase from Streptococcus mutans OMZ 176. Helv Odontol Acta 18: 101–113. [PubMed]

49. Walker GJ, Pulkownik A, Morrey-Jones JG (1981) Metabolism of the polysaccharides of human dental plaque: release of dextranase in batch cultures of Streptococcus mutans. J Gen Microbiol 127: 201–208. [PubMed]

50. Hayacibara MF, Koo H, Vacca-Smith AM, Kopec LK, Scott-Anne K, et al. (2004) The influence of mutanase and dextranase on the production and structure of glucans synthesized by streptococcal glucosyltransferases. Carbohydr Res 339: 2127–2137. [PubMed]

51. Wilson RF, Ashley FP (1990) Relationships between the biochemical composition of both free smooth surface and approximal plaque and salivary composition and a 24-hour retrospective dietary history of sugar intake in adolescents. Caries Res 24: 203–210. [PubMed]

52. Banas JA, Vickerman MM (2003) Glucan-binding proteins of the oral streptococci. Crit Rev Oral Biol Med 14: 89–99. [PubMed]

53. Lynch DJ, Fountain TL, Mazurkiewicz JE, Banas JA (2007) Glucan-binding proteins are essential for shaping Streptococcus mutans biofilm architecture. FEMS Microbiol Lett 268: 158–165. [PMC free article] [PubMed]

54. Duque C, Stipp RN, Wang B, Smith DJ, Höfling JF, et al. (2011) Downregulation of GbpB, a component of the VicRK regulon, affects biofilm formation and cell surface characteristics of Streptococcus mutans. Infect Immun 79: 786–796. [PMC free article] [PubMed]

55. Loesche WJ, Henry CA (1967) Intracellular microbial polysaccharide production and dental caries in a Guatemalan Indian village. Arch Oral Biol 12: 189–194. [PubMed]

56. Tanzer JM, Freedman ML, Woodiel FN, Eifert RL, Rinehimer LA (1976) Association of Streptococcus mutans virulence with synthesis of intracellular polysaccharide. In: Stiles HM, Loesche WJ, O’Brien TL, editors. Proceedings in microbiology. Aspects of dental caries. Special supplement to Microbiology Abstracts. London: Information Retrieval, Inc., 596–616.

57. Spatafora G, Rohrer K, Barnard D, Michalek S (1995) A Streptococcus mutans mutant that synthesizes elevated levels of intracellular polysaccharide is hypercariogenic in vivo. Infect Immun 63: 2556–2563. [PMC free article] [PubMed]

58. Spatafora GA, Sheets M, June R, Luyimbazi D, Howard K, et al. (1999) Regulated expression of the Streptococcus mutans dlt genes correlates with intracellular polysaccharide accumulation. J Bacteriol 181: 2363–72. [PMC free article] [PubMed]

59. Ciardi JE, Rölla G, Bowen WH, Reilly JA (1977) Adsorption of Streptococcus mutans lipoteichoic acid to hydroxyapatite. Scand J Dent Res 85: 387–91. [PubMed]

60. Gross M, Cramton SE, Gotz F, Peschel A (2001) Key role of teichoic acid net charge in Staphylococcus aureus colonization of artificial surfaces. Infect Immun 69: 3423–3426. [PMC free article] [PubMed]

61. Götz F (2002) Staphylococcus and biofilms. Mol Microbiol 43: 1367–1378. [PubMed]

62. Boyd DA, Cvitkovitch DG, Bleiweis AS, Kiriukhin MY, Debabov DV, et al. (2000) Defects in D-alanyl-lipoteichoic acid synthesis in Streptococcus mutans results in acid sensitivity. J Bacteriol 182: 6055–6065. [PMC free article] [PubMed]

63. Bender GR, Sutton SV, Marquis RE (1986) Acid tolerance, proton permeabilities, and membrane ATPases of oral streptococci. Infect Immun 53: 331–338. [PMC free article] [PubMed]

64. Kuhnert WL, Zheng G, Faustoferri RC, Quivey RG Jr (2004) The F-ATPase operon promoter of Streptococcus mutans is transcriptionally regulated in response to external pH. J Bacteriol 186: 8524–8528. [PMC free article] [PubMed]

65. Fozo EM, Quivey RG Jr (2004a) The fabM gene product of Streptococcus mutans is responsible for the synthesis of monounsaturated fatty acids and is necessary for survival at low pH. J Bacteriol 186: 4152–4158. [PMC free article] [PubMed]

66. Fozo EM, Quivey RG Jr (2004b) Shifts in the membrane fatty acid profile of Streptococcus mutans enhance survival in acidic environments. Appl Environ Microbiol 70: 929–936. [PMC free article] [PubMed]

67. Santiago B, Macgilvray M, Faustoferri RC, Quivey RG Jr (2012) The Branched-Chain Amino Acid Aminotransferase Encoded by ilvE Is Involved in Acid Tolerance in Streptococcus mutans. J Bacteriol 194: 2010–209. [PMC free article] [PubMed]

68. Sheng J, Marquis RE (2007) Malolactic fermentation by Streptococcus mutans. FEMS Microbiol Lett 272: 196–201. [PubMed]

69. Griswold AR, Chen YY, Burne RA (2004) Analysis of an agmatine deiminase gene cluster in Streptococcus mutans UA159. J Bacteriol 186: 1902–1904. [PMC free article] [PubMed]

70. Griswold AR, Jameson-Lee M, Burne RA (2006) Regulation and physiologic significance of the agmatine deiminase system of Streptococcus mutans UA159. J Bacteriol 188: 834–841. [PMC free article] [PubMed]

71. Fozo EM, Scott-Anne K, Koo H, Quivey RG Jr (2007) Role of unsaturated fatty acid biosynthesis in virulence of Streptococcus mutans. Infect Immun 75: 1537–1539. [PMC free article] [PubMed]

72. Lemos JA, Luzardo Y, Burne RA (2007) Physiologic effects of forced down-regulation of dnaK and groEL expression in Streptococcus mutans. J Bacteriol 189: 1582–1588. [PMC free article] [PubMed]

73. de Nadal E, Ammerer G, Posas F (2011) Controlling gene expression in response to stress. Nat Rev Genet 12: 833–845. [PubMed]

74. Derr AM, Faustoferri RC, Betzenhauser MJ, Gonzalez K, Marquis RE, et al. (2012) Mutation of the NADH oxidase gene (nox) reveals an overlap of the oxygen- and acid-mediated stress responses in Streptococcus mutans. Appl Environ Microbiol 78: 1215–1227. [PMC free article] [PubMed]

75. Bitoun JP, Nguyen AH, Fan Y, Burne RA, Wen ZT, et al. (2011) Transcriptional repressor Rex is involved in regulation of oxidative stress response and biofilm formation by Streptococcus mutans. FEMS Microbiol Lett 320: 110–117. [PMC free article] [PubMed]

76. Galperin MY, Koonin EV (2004) ‘Conserved hypothetical’ proteins: prioritization of targets for experimental study. Nucleic Acids Res. 32: 5452–5463. [PMC free article] [PubMed]

77. Kajfasz JK, Rivera-Ramos I, Abranches J, Martinez AR, Rosalen PL, et al. (2010) Two Spx proteins modulate stress tolerance, survival, and virulence in Streptococcus mutans. J Bacteriol 192: 2546–2556. [PMC free article] [PubMed]

Articles from PLoS ONE are provided here courtesy of
Public Library of Science