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Journal of Bacteriology, May 2008, p. 3779-3785, Vol. 190, No. 10
0021-9193/08/$08.00+0 doi:10.1128/JB.01861-07
Copyright © 2008, American Society for Microbiology. All Rights Reserved.

Division of Oral Microbiology and Immunology, Department of Operative and Preventive Dentistry and Periodontology, and Department of Medical Microbiology, RWTH Aachen University Hospital, Aachen, Germany,1 Department of Operative and Preventive Dentistry and Periodontology, RWTH Aachen University Hospital, Aachen, Germany2
Received 27 November 2007/ Accepted 1 March 2008
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Our analysis encompassed 102 plaque samples from patients at different stages of severity of chronic periodontal disease (the most common form of periodontitis) along with 65 samples from age-matched healthy control individuals. Patient inclusion (42 males and 60 females attending the Clinic of Operative and Preventive Dentistry and Periodontology, RWTH Aachen; mean age, 50.7 [standard deviation, 11.23) was in accordance with the guidelines of the Ethics Committee of the RWTH University Hospital, Aachen. Subgingival plaque samples were collected and pooled from the four deepest periodontal pockets of each patient with sterile paper points (ISO 45; Alfred Becht GmbH, Offenburg, Germany) after isolation and supragingival plaque removal. For the healthy subjects, plaque was collected and pooled from vestibular sulcus of first molars from all quadrants with sterile paper points. Periodontitis sites with periodontal probing depths of
6 mm (clinical attachment loss,
4 mm) were defined as "severe" cases and those with periodontal probing depths of <6 mm (clinical attachment loss. <4 mm) as "moderate" cases (30). Healthy sites were defined as those with periodontal probing depths of <3 mm and no bleeding on probing.
Whole genomic community DNA was extracted as described previously (14). The abundance of target microorganisms was determined by real-time quantitative PCR using primer pairs with validated target specificity as published earlier (15, 21, 27, 29, 42) and thermal profiles modified from the original protocols for adaptation to a LightCycler-based amplification (LightCycler 2.0) according to the recommendations of the manufacturer (Roche Molecular Biochemicals technical note 2/99; Roche Applied Science, Penzberg, Germany) (Table 1). Reactions were performed using LightCycler FastStart DNA Masterplus Sybr green I in a total volume of 20 µl. Final reaction mixtures contained 500 nM of each primer and 3 µl of template DNA (approximately 75 ng). Quantification (i.e., determination of crossing points and conversion to initial gene target molecule numbers based on calibration standards) as well as melting curve analysis followed the protocol described by Vianna et al. (41) except for preparations of DNA standards. For this purpose, DNA from Methanobrevibacter oralis DSM 7256T was amplified with primers ME1 (11) and LuR, DNA from Desulfovibrio piger DSM 749T was amplified with primers DSR1F (42) and DSR4R, and DNA from Eubacterium limosum DSM 20543T was amplified with primers FTHFS-F and FTHFS-R. Purified amplicons (Qiagen purification kit; Qiagen, Hilden, Germany) were quantified with the PicoGreen double-stranded DNA quantification kit (Molecular Probes, Leiden, The Netherlands). Knowing the exact size of the amplicons (in base pairs) and using the average molecular weight of a single DNA base pair (i.e., 650), the target molecule numbers for each PCR product could be determined and appropriate dilutions series of the PCR products could be used as standards. The linear scope of detection ranged from 102 to 108 target molecule numbers, with amplification efficiencies of 1.695 (error, 0.025) for mcrA, 1.755 (error, 0.01) for dsrAB, and 1.830 (error, 0.007) for fhs. For quantifying sulfate reducers, a preamplification with the external primer DSR1F and the assay primer DSR4R was performed with the following temperature profile: 96°C for 10 min and then 16 cycles of 96°C for 10 s; 53°C for 10 s, and 72°C for 180 s. The efficiency of this reaction measured on the basis of dilution series of genomic DNA from D. piger 749T was found to be 1.57 (error, 0.06). Thus, dsrAB gene levels were assumed to be enriched by the preamplification step by a factor of 1.5716 (=1,363). Total bacteria were quantified exactly as described previously (41). All samples were run in triplicate, with the mean value used for analysis. The coefficient of variation among replicates was below 1%.
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TABLE 1. Primer description and thermal profiles for PCR
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Nucleotide sequence accession numbers. The partial mcrA, dsrAB, and fhs gene sequences determined in this study have been deposited in the EMBL, GenBank, and DDBJ nucleotide sequence databases under accession no. EU294497 to EU294506.
Prevalence, proportions, and interactions of hydrogenotrophic groups. While methanogens and SRB were detected in samples from periodontitis patients only (43.1 and 41.2%, respectively) acetogens were found in 84.3% of patient samples but also in 64.4% of healthy control subjects (Fig. 1). Only 4.9% of patient samples did not contain any of three functional groups. Single presence occurred in 3.9% (methanogens), 2.9% (SRB), and 30.4% (acetogens) of cases, respectively. Cooccurrence of acetogens with one or both groups was found with roughly equal frequency (between 15 and 19% of cases), while cooccurrence of methanogens and SRB was a rarity (3.9%). The absolute abundance of total bacteria and acetogens was significantly lower in healthy control subjects than in periodontitis patients (P < 0.0001) (Fig. 2). Among the periodontitis patients, roughly equal amounts of methanogens and acetogens were found, but the level of SRB was about one order of magnitude lower (Fig. 2). In order to normalize for variations in microbial biomass among samples, absolute abundance data were referred to the total bacterial load. Methanogens made up the largest proportion, with 0.26%, followed by acetogens (0.11%) and SRB (0.01%). The mean proportion of acetogens in the healthy control subjects was 1.67%. Significant antagonistic interactions among the three hydrogenotrophic groups were such that the mean proportion of acetogens was twice as high in SRB-negative samples (n = 51) as in SRB-positive samples (n = 42) (P = 0.001) and 2.4 times higher in methanogen-negative samples (n = 50) than in methanogen-positive samples (n = 44) (P = 0.028). Likewise, the mean proportion of SRB was 2.7 times higher in methanogen-negative samples (n = 22) than in methanogen-positive samples (n = 44) (P = 0.002), but cooccurrence with acetogens did not alter the population size of SRB. Lastly, the mean proportion of methanogens was 3.3 times higher in SRB-negative samples (n = 24) than in SRB-positive samples (n = 42) (P = 0.001) and 9.0 times higher in samples devoid of acetogens (n = 8) than in acetogen-positive samples (n = 86) (P = 0.001).
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FIG. 1. Prevalence and distribution of acetogenic bacteria, methanogenic archaea, and SRB in subgingival plaque from periodontitis patients and supragingival plaque from healthy control subjects. Numbers in the diagram refer to the number of patients with single or combined presence of the three H2-utilizing functional groups.
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FIG. 2. Mean bacterial rRNA gene copy number and mean abundance of fhs genes (acetogenic bacteria), dsrAB genes (SRB), and mcrA genes (methanogenic archaea) in periodontal health and disease. Error bars represent standard errors.
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FIG. 3. Total bacterial amount (rRNA gene copy number) (A) and relative abundances of acetogenic bacteria (B), SRB (C), and methanogenic archaea (D) in subgingival plaque samples from periodontal pockets with a pocket depth of less than 6 mm or of 6 mm and greater. For this analysis, only cases in which a minimum of three periodontal sites belonged clearly to one group were considered. Error bars represent standard errors.
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FIG. 4. Phylogenetic tree showing the positions of the mcrA gene types identified in subgingival plaque of periodontitis patients relative to those of representative members of methanogenic archaea. Sequences determined in this study are shown in boldface; numbers in parentheses indicate the number of sequenced plaque samples. The tree is based on a distance matrix of deduced amino acid sequences using 150 unambiguously aligned positions and the neighbor-joining approach (with the Kimura correction), via the ARB program package. The scale bar corresponds to 0.1 substitution per amino acid.
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FIG. 5. Phylogenetic tree showing the positions of the dsrAB gene types identified in subgingival plaque of periodontitis patients relative to those of representative members of dissimilatory sulfate reducers. Sequences determined in this study are shown in boldface; numbers in parentheses indicate the number of sequenced plaque samples. The tree is based on a distance matrix of deduced amino acid sequences using 150 unambiguously aligned positions and the neighbor-joining approach (with the Kimura correction), via the ARB program package. The scale bar corresponds to 0.1 substitution per amino acid.
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FIG. 6. Phylogenetic tree showing the positions of the fhs gene types identified in subgingival plaque of periodontitis patients relative to those of representative members of acetogenic bacteria. Sequences determined in this study are shown in boldface; numbers in parentheses indicate the number of sequenced plaque samples. The tree is based on a distance matrix of deduced amino acid sequences using 150 unambiguously aligned positions and the neighbor-joining approach (with the Kimura correction), via the ARB program package. The tree was rooted with the fhs gene sequence of the nonacetogenic Proteus vulgaris. The scale bar corresponds to 0.1 substitution per amino acid.
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The proportions of the hydrogenotrophs were in most cases below 1% of the total microflora. This agrees with a study by Kumar et al. (17), in which 93% of 274 phylotypes identified in subgingival plaque and healthy sites had a proportion of below 1% and approximately 50% of phylotypes were even below 0.1%. Similar magnitudes have also been reported in another study, which found that 99% of phylotypes in soil samples each made up less than 1% of the community (1). This means not only that complex microbial communities may be dominated by "rare" species but that the population size of any given species is not an appropriate measure for assessing its ecological impact. This should in particular be true for organisms for which a high degree of functional redundancy does not exist and which are considered to parallel keystone species in certain environments (e.g., hydrogenotrophs [2]).
The mcrA and dsrAB sequence types determined in our study are in line with previous findings, including those of culture-based studies. For instance, M. oralis and closely related phylotypes are the dominant oral methanogens (9, 23, 41), yet strikingly, the overall archaeal diversity in the human oral cavity seems to be restricted to few members of the genus Methanobrevibacter. In addition, most dsrAB gene types determined in our study were closely related to the oral isolate "Desulfovibrio strain NY682" (19), which in turn matches Desulfovibrio fairfieldensis based on 16S rRNA tree analysis (19). D. fairfieldensis, a resident of the human gastrointestinal tract, has frequently been isolated not only from periodontal pockets (24) but also from various other sites of infection, such as from a pyogenic liver abscess (39), from blood (28), and in association with choledocholithiasis (34), making this species a potential human pathogen. Its 10-fold increase in severe periodontitis cases as observed in the present study underscores this hypothesis. It should be noted, though, that the diversity of SRB in subgingival plaque is not restricted to Desulfovibrio species (19).
In contrast to the sequences discussed above, it remains unclear to which organisms the fhs sequence types correspond; however, their position within the phylogenetic radiation of known acetogenic organisms (Fig. 6) and the antagonistic interactions with methanogens and SRB, as observed in this study, suggest that they reflect authentic acetogens. It could be speculated that these fhs sequences correspond to Treponema spp. since Lepp et al. (23) found larger proportions of Treponema populations at periodontal sites lacking methanogenic archaea, hypothesizing a possible competition for H2 between these two groups of organisms. However, as opposed to Treponema colonizing the guts of termites (20, 32), human-associated Treponema spp. have not yet been demonstrated to be capable of (hydrogen-consuming) acetogenesis. Clearly, more work is needed to assess the identity and function of acetogenic bacteria in human plaque biofilms.
Final consideration. Unlike the case for acetogens, detectable levels of methanogens and sulfate reducers were only found at diseased sites, with proportions of methanogens and sulfate reducers being significantly elevated in the more severe cases. Although this finding demonstrates association with, rather than causation of, disease, the increased importance of both groups for the progression of periodontitis is evident and principally designates the genes mcrA and dsrAB as potential biomarkers for progressive periodontal disease with high positive predictive values.
With respect to species diversity and species function, we are only at the beginning of understanding the polymicrobial periodontal disease. An ultimate etiological agent of the various forms of periodontitis may not exist. Instead, the concerted activity of the microbial community as a whole may be one cause of the disease. Attempts to identify fundamental principles driving the infectious process regardless of site- or host-specific community structure might strongly advance our understanding of the disease. The patterns of hydrogenotrophic colonization as described in this study show that interactions among H2 consumers and H2 producers in plaque biofilms may be as important as those in other anaerobic environments for the overall functioning of this disease-associated microbial ecosystem.
Published ahead of print on 7 March 2008. ![]()
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