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Applied and Environmental Microbiology, December 2004, p. 6998-7009, Vol. 70, No. 12
0099-2240/04/$08.00+0 DOI: 10.1128/AEM.70.12.6998-7009.2004
Copyright © 2004, American Society for Microbiology. All Rights Reserved.
Department of Microbial Ecology, Institute of Ecology and Conservation Biology, University of Vienna, Vienna, Austria,1 Department of Ecological Microbiology, University of Bayreuth, Bayreuth,2 Department of Microbiology, Technical University of Munich, Freising, Germany3
Received 9 March 2004/ Accepted 27 July 2004
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34S values and 35S-labeling patterns indicate that the dissimilatory reduction of sulfate is an ongoing process in the acidic fens of a forested catchment in northern Bavaria, Germany (Lehstenbach, Fichtelgebirge) (3, 5). The deposition of sulfur that originated from the combustion of soft coal in Eastern Europe (10) led to accumulation of sulfur in the soils of this catchment (4). Although pollution controls have lessened the deposition in recent years, desorption of sulfate in aerated upland soils causes sulfate to enter fens at lower elevations. It was hypothesized that the dissimilatory reduction of sulfate in these mainly anoxic, waterlogged acidic fen soils (the pH of the fen soils is approximately 4) contributes to the retention of sulfur in this ecosystem (3, 4, 50). The reduction of sulfate in these fens is also a sink for protons and thus decreases the acidity of the soil solution and groundwater of this habitat.
The acidity and low sulfate content of some of the fens in the Lehstenbach catchment provide an unusual habitat for SRPs, and the occurrence and activity of these organisms in such habitats have received little attention. The main objectives of this study were (i) to assess the capacity of the fen soils to reduce sulfate along vertical soil profiles in the upper peat layers, (ii) to determine the vertical community profiles for all known SRP lineages that inhabit the fens by the use of a 16S rRNA-based oligonucleotide microarray (SRP-PhyloChip) (44), (iii) to resolve the possible existence of novel SRP lineages in the fens by retrieval of dsrAB, which are genes that encode the alpha and beta subunits of the siroheme dissimilatory (bi)sulfite reductase (EC 1.8.99.3) (34, 66, 74), and (iv) to deduce the possible in situ functional relationships that can be inferred from this collective information.
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Schlöppnerbrunnen I is covered with patches of Sphagnum moss and spruce, and the soil is a fibric histosol and is usually water saturated; in years with extremely hot summer months, the upper soil can become dry. Schlöppnerbrunnen II is permanently water saturated and completely overgrown by the grass Molinia caerula. The soil of Schlöppnerbrunnen II has a larger amount of bioavailable Fe3+ than the soil of Schlöppnerbrunnen I has. The soil pHs of Schlöppnerbrunnen I and II were approximately 3.9 and 4.2, respectively; the soil solution pH varied between 4 and 6.
Dialysis chambers.
A soil solution from the upper 40 cm of each site was sampled with dialysis chambers (27) every 2 months from July 2001 to November 2002. Each dialysis chamber consisted of 40 1-cm cells covered with a cellulose acetate membrane with a pore diameter of 0.2 µm. Prior to installation, the chamber was filled with anoxic, deionized water. The dialysis chambers were placed in the water-saturated fens for 2 weeks prior to sampling. On the sampling date, each chamber was closed (i.e., made airtight), transported to the laboratory, and sampled with argon-flushed syringes.
Collection of soil.
For microcosms, soil samples from three different depths (approximately 0 to 10, 10 to 20, and 20 to 30 cm) were obtained in December 2001 in sterile airtight vessels, transported to the laboratory, and processed within 4 h. For isolation of DNA, soil cores (diameter, 3 cm) from four different depths (approximately 0 to 7.5, 7.5 to 15, 15 to 22.5, and 22.5 to 30 cm) were collected on 24 July 2001 and immediately cooled on ice. Soil samples were brought to the laboratory, where they were diluted 1:1 (vol/vol) in phosphate-buffered saline (130 mM NaCl, 10 mM NaH2PO4, 10 mM Na2HPO4; pH 7.3), homogenized by vortexing, and stored at 20°C.
Anoxic microcosms.
Thirty-gram (fresh weight) portions of soil were placed into 125-ml infusion flasks (Merck ABS, Dietikon, Switzerland) inside an O2-free chamber (100% N2 gas phase), and 60-ml portions of anoxic, deionized water were added to facilitate sampling with sterile, argon-flushed syringes. The bottles were closed with rubber stoppers and screw caps and were incubated in the dark at 15°C. Sulfate was added from a sterile anoxic stock solution (0.5 M K2SO4) to a final concentration of 500 µM. Microcosms were prepared in triplicate and had initial pHs that ranged from 5 to 5.5. The rates of sulfate consumption and CH4 formation were determined for 17 days by linear regression analysis of the concentrations of sulfate and CH4, respectively. For CH4 formation rates, all concentration data were included for linear regression analysis. For sulfate consumption rates, only the parts of the curves for when part of the supplemented sulfate was still available for consumption were used.
Analytical methods.
pH was measured with a U457-S7/110 combination pH electrode (Ingold, Steinbach, Germany). The sulfate content was determined by ion chromatography (37). The concentration of CH4 in the headspace was measured with a 5980 series II gas chromatograph (Hewlett-Packard Co., Palo Alto, Calif.) (37). Total reduced inorganic sulfur (TRIS) and acid volatile sulfur (AVS) contents were determined by using previously described protocols (73). TRIS is assumed to be composed of pyrite (FeS2), amorphous FeS, and S0; AVS is amorphous FeS.
Extraction of DNA.
DNA was extracted from soil homogenates by a modification (44) of a previously described protocol (25). The amount of extracted DNA was determined spectrophotometrically by measuring the absorbance at 260 nm.
PCR amplification of 16S rRNA genes and dsrAB.
PCR amplification of genes was performed with 5 ng of environmental DNA. For subsequent microarray hybridization, bacterial 16S rRNA gene fragments from soil genomic DNA were amplified by using the primer pairs 616V-630R and 616V-1492R (Table 1), and PCR products were mixed prior to labeling. For confirmation of microarray results, 16S rRNA gene fragments of defined SRP groups were directly amplified from soil DNA by using previously described and newly designed primers (Table 1). In addition, an approximately 1.9-kb dsrAB fragment was amplified from fen soil DNA by using the degenerate primers DSR1Fmix (equimolar mixture of DSR1F, DSR1Fa, and DSR1Fb) and DSR4Rmix (equimolar mixture of DSR4R, DSR4Ra, DSR4Rb, and DSR4Rc) (Table 2).
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TABLE 1. 16S rRNA gene-targeted primers
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TABLE 2. Dissimilatory (bi)sulfite reductase gene (dsrAB)-targeted primersa
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DNA microarray analyses.
Fluorescence labeling of PCR products, manufacturing and processing of SRP-PhyloChips, reverse hybridization on microarrays, and scanning and image analyses of microarrays were performed as previously described (44). Spots that had signal-to-noise ratios equal to or greater than 2.0 were considered positive. Oligonucleotides used for printing of the SRP-PhyloChips were obtained from MWG Biotech (Ebersberg, Germany). For each site and soil depth, two separate microarrays with duplicate spots for each probe were hybridized with labeled PCR products. The sequences and specificities of all probes are listed in the DNA microarray section of the probeBase website (43) http://www.microbial-ecology.net/probebase/.
Microarray hybridization patterns for the different depths of the samples from the two fens were used to infer binary similarities in order to provide a quantitative measure for comparison of hybridization data. The Jaccard coefficient (CJ) and the Sorenson coefficient (CS) for two samples were calculated by using the following formulas: CJ = 100 x c x (a + b c)1 and CS = 100 x 2c x (a + b)1, where a is the number of positive SRP-PhyloChip probes in the first sample, b is the number of positive SRP-PhyloChip probes in the second sample, and c is the number of SRP-PhyloChip probes positive in both samples. These coefficients are usually calculated based on presence-absence data for species in the ecosystems compared. In this context, it should be noted that due to the multiple-probe design strategy of the SRP-PhyloChip, the number of positive probe signals on the microarray is generally much higher than the number of species actually detected in the sample analyzed. Therefore, the calculated coefficients can only be interpreted as indications of the similarity of hybridization patterns.
Cloning and sequencing.
Prior to cloning, the PCR amplification products were purified by low-melting-point agarose (1.5%) gel electrophoresis (NuSieve 3:1; FMC Bioproducts, Biozym Diagnostics GmbH, Oldendorf, Germany) and stained in a SYBR Green I solution (10 µl of SYBR Green I [Biozym Diagnostics GmbH] in 100 ml of Tris-acetate-EDTA buffer [40 mM Tris, 10 mM sodium acetate, 1 mM EDTA; pH 8.0]) for 45 min. Bands of the expected size were excised from the agarose gel with a glass capillary and melted with 80 µl of double-distilled water for 10 min at 80°C. Four microliters of each solution was ligated as recommended by the manufacturer (Invitrogen Corp.) either into the cloning vector pCR2.1 of a TOPO TA cloning kit (16S rRNA gene PCR products) or into the cloning vector pCR-XL-TOPO of a TOPO XL cloning kit (dsrAB PCR products). Nucleotide sequences were determined by a modification of the dideoxynucleotide method (58) as described previously (54). In addition, internal dsrAB-targeted sequencing primers (Table 2) were used to complete the dsrAB sequences.
Phylogeny.
Phylogenetic analyses were performed by using the alignment and treeing tools implemented in the ARB program package (46). New 16S rRNA gene sequences were added to an ARB alignment of about 20,000 small-subunit rRNA gene sequences (which included sequences from all recognized SRPs and clone sequences from uncultured prokaryotes from sulfate-reducing environments) by using the alignment tool ARB_EDIT. Alignments were refined by visual inspection. 16S rRNA gene phylogenetic analyses were performed exclusively with sequences having more than 1,150 bases by using distance matrix, maximum-parsimony, and maximum-likelihood methods (45). The composition of the 16S rRNA gene sequence data sets varied with respect to the reference sequences and alignment positions. The variability of the individual alignment positions was determined by using the ARB_SAI tools and was used as a criterion to remove or include variable positions for phylogenetic analyses.
New dsrAB sequences were added to an ARB alignment that contained all dsrAB sequences of recognized SRPs (22, 34, 74) and uncultured SRPs available in the GenBank database (9). Deduced amino acid sequences were manually aligned by using the editor GDE 2.2 (64). Nucleic acid sequences were aligned according to the alignment of amino acids. For phylogenetic inference of DsrAB amino acid sequences, insertions and deletions were removed from the data set by using a suitable alignment mask (indel filter), which left a total of 543 amino acid positions (alpha subunit, 327 positions; beta subunit, 216 positions) for comparative analyses. Distance matrix (using FITCH with global rearrangements and randomized input order of species) and maximum-parsimony trees were calculated with the Phylogeny Inference Package (PHYLIP) (21). In addition, the programs MOLPHY (2) and TREE-PUZZLE (67) were used to infer maximum-likelihood trees with JTT-f as the amino acid replacement model. To determine the level of amino acid identity between two DsrAB sequences, ambiguous amino acid positions and the alignment regions of insertions and deletions (indel filter) were omitted.
Parsimony bootstrap analyses for nucleic acid (16S rRNA gene) and protein (DsrAB) trees were performed with PHYLIP. One hundred bootstrap resamplings were analyzed for each calculation. All phylogenetic consensus trees were drawn by using established protocols (45).
Bacterial nomenclature.
The names of bacterial taxa used here are in accordance with the prokaryotic nomenclature proposed in the taxonomic outline of Bergey's Manual of Systematic Bacteriology, 2nd ed. (23; http://dx.doi.org/10.1007/bergeysoutline200210).
Nucleotide sequence accession numbers.
The sequences determined in this study have been deposited in the GenBank database under accession numbers AY167444 to AY167462 (16S rRNA gene clones) and AY167464 to AY167483 (dsrAB clones).
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Capacity of fen soils to consume sulfate.
Supplemental sulfate was rapidly consumed without an apparent delay in anoxic microcosms that contained soil from the upper peat layers (Fig. 1). Soils from the three depths yielded similar concentrations of TRIS and AVS (Table 3). The average concentrations of TRIS and AVS were 0.67 and 0.12 µmol g (fresh weight) of soil1, respectively, in sulfate-supplemented Schlöppnerbrunnen I microcosms at the end of incubation. The average concentrations of TRIS and AVS in unsupplemented controls were 0.16 and 0.03 µmol g (fresh weight) of soil1, respectively. The Schlöppnerbrunnen II soils yielded results similar to those obtained with the Schlöppnerbrunnen I soils, although the values were slightly higher. However, the average amount of reduced sulfur recovered was only approximately 18% of the amount of sulfate-derived sulfur that was consumed. Part of the reduced sulfur might have been lost in the headspace as H2S due to the low soil pH. Despite this discrepancy, the concentrations of TRIS and AVS in soils were higher at the end of incubation in sulfate-supplemented microcosms than at the end of incubation in unsupplemented controls, indicating that the consumption of supplemental sulfate was linked to the dissimilatory reduction of sulfate.
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FIG. 1. Consumption of supplemental sulfate (500 µM) in anoxic microcosms of soil obtained from Schlöppnerbrunnen I (A) and II (B). The values are averages ± standard deviations for triplicate determinations.
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TABLE 3. Effect of the consumption of supplemental sulfate on the formation of reduced sulfur compounds in anoxic microcosms of soil obtained from Schlöppnerbrunnen I and IIa
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FIG. 2. Effect of the consumption of supplemental sulfate (500 µM) on the production of methane in anoxic microcosms of soil obtained from Schlöppnerbrunnen I. The values are averages ± standard deviations for triplicate determinations. Open symbols, methane production with supplemental sulfate; solid symbols, controls (no sulfate added); circles, 0 to 10 cm, triangles, 10 to 20 cm; squares, 20 to 30 cm.
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FIG. 3. (A) Use of SRP-PhyloChip for surveys of SRP diversity at four different depths at Schlöppnerbrunnen I. Each probe was spotted in duplicate. The specificity and microarray position of each probe have been described previously (44). Probe spots having a signal-to-noise ratios equal to or greater than 2.0 are indicated by boldface boxes and were considered to be positive. The dotted boldface boxes indicate that only one of the duplicate spots had a signal-to-noise ratio equal to or greater than 2.0. (B) Flow chart illustrating the presence of distinct SRP groups in Schlöppnerbrunnen I as inferred from positive signals for sets of probes with nested and/or parallel specificity. For each probe the position on the microarray is indicated by a superscript.
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TABLE 4. Similarity matrix for SRP communities in the fen samples based on the presence or absence of SRP-PhyloChip probe signals for soil samples taken from four depths at Schlöppnerbrunnen I and II
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FIG. 4. 16S rRNA gene phylogenetic consensus tree based on neighbor-joining analysis performed with a 50% conservation filter for the Deltaproteobacteria. The tree shows the affiliations of clone sequences from Schlöppnerbrunnen I and II soils (indicated by boldface type). Bar = 10% estimated sequence divergence. Polytomic nodes connect branches for which a relative order could not be determined unambiguously by applying distance matrix, maximum-parsimony, and maximum-likelihood treeing methods. Parsimony bootstrap values for branches are indicated by solid circles (>90%) and open circles (75 to 90%). Branches without circles had bootstrap values of less than 75%. Brackets indicate the perfect-match target organisms of the probes. The microarray position is indicated by a superscript after each probe designation. Cadagno Lake clones were not sequenced at the target site for probe DSMON1421. TCB, trichlorobenzene.
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FIG. 5. (A) Use of SRP-PhyloChip for surveys of SRP diversity at four different depths at Schlöppnerbrunnen II. See the legend to Fig. 3 for additional details. (B) Flow chart illustrating the presence of distinct SRP groups in Schlöppnerbrunnen II soil as inferred from positive signals for sets of probes with nested specificity. For each probe the position on the microarray is indicated by a superscript. The asterisk indicates that the mean signal-to-noise ratios of the duplicate SYBAC986 spots for 7.5 to 15, 15 to 22.5, and 22.5 to 30 cm were just below the threshold value of 2.0 (1.88, 1.95, and 1.70, respectively).
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dsrAB diversity in fen soils.
As observed for SRP 16S rRNA gene PCR products (see above), the amount of dsrAB PCR products increased as the soil depth increased (data not shown). The dsrAB PCR products that were retrieved from the deepest soils (22.5 to 30 cm) from Schlöppnerbrunnen I and II were used to construct dsrAB clone libraries; the clone libraries for Schlöppnerbrunnen I and II were designated dsrSbI and dsrSbII, respectively; 41 of 42 randomly picked dsrSbI clones and 35 of 48 randomly picked dsrSbII clones had an insert of the expected size (1.9 kb). However, partial sequencing followed by BLAST analyses (7) demonstrated that only 29 clones from the dsrSbI library and 24 clones from the dsrSbII library contained dsrAB sequences. Comparative sequence analysis of the partial DsrAB sequences grouped the 53 Schlöppnerbrunnen dsrAB clones in 11 clusters. The complete sequence of at least one dsrAB clone per cluster was subsequently determined. All dsrAB clones with deduced DsrAB amino acid sequence identities equal to or greater than 90% with each other were grouped into an operational taxonomic unit (OTU). This grouping yielded 11 OTUs for both libraries (Table 5). Three OTUs (OTUs 1, 3, and 6) were present at both fen sites; in contrast, eight OTUs contained dsrAB clones that were found only at either Schlöppnerbrunnen I or Schlöppnerbrunnen II (four OTUs each).
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TABLE 5. OTUs of sulfate-reducing prokaryotes based on comparative sequence analyses of dsrAB retrieved from acidic fen soil at the Schlöppnerbrunnen I and II sampling sites
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FIG. 6. Phylogenetic consensus tree (based on FITCH analysis) for DsrAB amino acid sequences deduced from dsrAB sequences longer than 1,750 bases, showing the affiliation of OTUs from Schlöppnerbrunnen fen soils (indicated by boldface type). DsrAB sequences deduced from dsrAB sequences shorter than 1,750 bases (indicated by dashed branches) were individually added to the distance matrix tree without changing the overall tree topology by using the ARB treeing tool PARSIMONY_INTERAKTIV. Bar = 10% estimated sequence divergence. See the legend to Fig. 4 for additional details.
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Fens of the Lehstenbach catchment emit 0.02 to 15 mmol of CH4 m2 day1 (28). Methanogenesis was inhibited in anoxic microcosms supplemented with sulfate; this result supports previous findings suggesting that SRPs outcompete methanogens in peatlands under certain in situ conditions (11, 79). The rates of consumption of supplemental sulfate in soil microcosms were twice as high as the rates of formation of methane in microcosms lacking sulfate and were comparable to the rates for eutrophic waterlogged Everglades soils (14). These collective observations indicate that sulfate, when available, is subject to rapid reduction in these fens.
SRP diversity in fen soils.
Both the 16S rRNA-based (microarray and clone library) and dsrAB-based analyses indicated that the SRP community compositions of the two fen soils were not identical. Soil from Schlöppnerbrunnen I contained members of the genus Desulfomonile and the family "Syntrophobacteraceae," while only the latter group was detected in soil from Schlöppnerbrunnen II. Only 7 and 4% of the dsrAB clones from Schlöppnerbrunnen I and II, respectively, were affiliated with these organisms. A large fraction of the remaining dsrAB clones (72 and 21% of the clones derived from Schlöppnerbrunnen I and II, respectively) formed a monophyletic group with D. acetoxidans, a result that is paradoxical in that this organism was not detected by nonstringent 16S rRNA gene amplification with D. acetoxidans-specific primers. The failure to detect the D. acetoxidans-like organisms via their 16S rRNA genes possibly reflects their moderate phylogenetic relatedness to D. acetoxidans (73 to 75% DsrAB amino acid identity). Consequently, the D. acetoxidans-like organisms of the fens might have 16S rRNA genes that were not targeted by the D. acetoxidans-specific primers. An encompassing 16S rRNA gene library from the Schlöppnerbrunnen sites obtained with general bacterial primers could help determine whether such organisms actually occur in the acidic fens. Alternatively, the D. acetoxidans-related dsrAB sequences might originate from SRPs which are phylogenetically not closely related to D. acetoxidans but received their dsrAB genes via lateral gene transfer from a D. acetoxidans-related donor. The fact that several horizontal dsrAB gene transfer events have been described (34; V. Zverlov, unpublished data) lends weight to this hypothesis.
The molecular analyses indicated that S. wolinii-related bacteria are present in these acidic fen soils, a result that is consistent with detection of this species in an acid-tolerant methanogenic consortium derived from a Sphagnum peat bog (63). 16S rRNA gene sequences obtained from rice paddy soil indicate that S. wolinii-like bacteria also occur in other types of soils (61). S. wolinii was first isolated from an anaerobic municipal sewage digestor in syntrophic cocultures with methanogens or SRPs (12) and oxidizes propionate to acetate and CO2. The electrons that are obtained from the oxidation of propionate are transferred via hydrogen and/or formate to methanogens that reduce CO2 to methane. The oxidation of propionate is exergonic only when hydrogen and/or formate is continuously removed by the syntrophic, methanogenic partner. The discovery that S. wolinii is capable of dissimilating sulfate led to its isolation (75) and proved that it was not an obligate syntroph (12). Due to the low concentration of sulfate in the Schlöppnerbrunnen fens and the likelihood that H2 is an important substrate for moderately acid-tolerant methanogens in this ecosystem (28), it is tempting to speculate that the S. wolinii-like bacteria of these fens also have a syntrophic lifestyle and interact with methanogens. However, the S. wolinii-related 16S rRNA gene sequences that were retrieved from the fen soils were 3.6 to 5.5% dissimilar to the 16S rRNA gene sequence of S. wolinii; likewise, the levels of sequence dissimilarity among the S. wolinii-like fen clones ranged from 0.1 to 5.2%. Thus, the cloned sequences represent several novel genomospecies (65) that might have physiologies that are at least partially dissimilar to that of S. wolinii.
Desulfomonile-related organisms appear to be members of the soil community at Schlöppnerbrunnen I. Members of this genus occur in other low-sulfate systems, such as an alpine lake (8), a forested wetland (13), deep crystalline bedrock (52), and a uranium mill tailings site (16), but they also occur in a hypersaline, sulfide-rich microbial mat (44). An environmentally important feature of the two cultured species of this genus, Desulfomonile limimaris and Desulfomonile tiedjei, is their ability to reductively dehalogenate anthropogenic compounds, such as polychlorinated biphenyls, perchloroethene, and chlorobenzenes (47, 48, 69). These species can also use H2 as an electron donor (55, 69). Thus, Desulfomonile-related organisms might compete for H2 and limit hydrogenotrophic methanogenesis when sulfate becomes available in the Schlöppnerbrunnen I fen. However, the 16S rRNA gene sequences of Desulfomonile-related clones were 5.2 to 7.5% dissimilar to those of the cultured members of this genus, suggesting that the ecophysiological capacities of the organisms represented by the cloned sequences might not be identical to those of known Desulfomonile species.
D. acetoxidans-like organisms appear to be present in both fens and have previously been detected in other low-sulfate habitats (13, 14, 16). The only cultured member of the genus Desulfobacca, D. acetoxidans, was isolated from a laboratory-scale upflow anaerobic sludge bed reactor fed with acetate and sulfate. This organism is specialized in acetate consumption and can outcompete acetoclastic methanogens (51). Because the D. acetoxidans dsrAB clone group was numerically the largest clone group obtained, we hypothesized that D. acetoxidans-like bacteria are abundant in these fens and are at least partially responsible for the lack of acetate accumulation and low abundance of acetoclastic methanogens in the fen soils (28).
SRP novelties in fen soils.
In addition to molecular signatures of well-known SRP lineages, novel types of dissimilatory (bi)sulfite reductases were detected in both fens. The deduced DsrAB amino acid sequences were remarkably dissimilar to those of cultured SRPs (the maximum deduced level of DsrAB amino acid sequence identity between one of the clones [dsrSbII-36] and a cultured SRP [Desulfotomaculum alkaliphilum DSM 12247] was 68%) and formed six deeply branching OTUs in the DsrAB tree (Fig. 6). Only one of these OTUs was found in both fens. The estimated diversity coverage of the established dsrAB libraries was almost 90% (Table 5), which suggests that the actual diversity of dsrAB sequences (detectable by the PCR approach used) present in the fens was largely recovered. Thus, the fact that five of the six deeply branching dsrAB OTUs were not detected at both fen sites is indicative of site-specific occurrence of the organisms. On the other hand, three of the retrieved lineages displayed affiliations with dsrAB sequences that were derived from a uranium mill tailings soil (16) or an Everglades soil (14), indicating that some of the detected lineages are widely distributed in low-sulfate ecosystems.
The novel types of dissimilatory (bi)sulfite reductases detected in the present study originated from SRPs that belong to either previously undescribed phylogenetic groups or phyla not yet known to contain organisms capable of dissimilating sulfate or sulfite. Certain type II methanotrophs harbor two different genes for subunit A of particulate methane monooxygenase (20, 70), and the novel dsrAB types could likewise represent additional dissimilatory (bi)sulfite reductases in well-known SRPs. However, SRPs that possess multiple dsr operons with significantly different sequences have not been reported. Theoretically, the novel dsrAB types from the Schlöppnerbrunnen fens could be pseudogenes whose sequences differ from recognized dsrAB sequences due to a higher mutation frequency caused by lack of selective pressure. However, there are three lines of evidence that argue against this possibility. (i) The dsrAB sequences did not contain any unexpected stop codons. (ii) Both subunits of the deduced DsrAB amino acid sequences contained the Cys motif consensus sequences Cys-X5-Cys and Cys-X3-Cys that are essential for binding the [Fe4S4]-siroheme cofactor of (bi)sulfite reductase (17); as in other (bi)sulfite reductases (26, 34), the Cys-X5-Cys motif of some of the deduced DsrAB amino acid sequences (OTUs 2, 7, 10, and 11) was truncated in the beta subunit. (iii) The nonsynonymous/synonymous substitution rate ratios of branches leading to the new dsrAB sequence clusters are low (<0.1), suggesting that there was strong purifying (negative) selection indicative of expressed and functionally active proteins (78).
Conclusions
In this study we assessed the potential activities and molecular signatures of SRPs in two acidic fens within the Lehstenbach catchment. Although some of the geochemical features (e.g., pH, temperature, and low concentration of sulfate) of these fens are similar, the types of vegetation in the two fens are different. In addition, only Schlöppnerbrunnen II is enriched both with dithionite-extractable pedogenic iron oxides and oxalate-extractable poorly crystallized iron oxides (36). Poorly crystallized iron oxides are the favored reducible forms of Fe3+ for microbial reduction, and Fe3+ might be an alternative electron acceptor for the anaerobic oxidation of organic matter at Schlöppnerbrunnen II. The collective data obtained in this study revealed stable diversity profiles for SRPs in the upper peat layers of the fen soils but also revealed site-specific novel SRP lineages. Thus, one might speculate that the different types of vegetation and different bioavailabilities of iron of the two fens are important factors in determining which SRPs become established in either one or both fens. Likewise, the seasonal variability in the water content of the two fens might be a contributing factor. Resolving the genomic and ecophysiological characteristics of the SRP community members of these fens is a major challenge for future research and could yield new insights into the novel physiologies and structure-function relationships of resident SRPs that enable them to compete in low-sulfate, acidic habitats.
This research was supported by grants from the bmb+f (01 LC 0021 subproject 2 in the framework of the BIOLOG program to M.W. and PT BEO 51-0339476 D) and the Bayerische Forschungsstiftung (Development of Oligonucleotide DNA Chips in cooperation with MWG Biotech; project 368/99 to M.W.).
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