RESEARCH ARTICLE Organic acids and ethanol inhibit the oxidation of methane by mire methanotrophs Adam S. Wieczorek, Harold L. Drake & Steffen Kolb Department of Ecological Microbiology, University of Bayreuth, Bayreuth, Germany Correspondence: Steffen Kolb, Department of Ecological Microbiology, University of Bayreuth, 95440 Bayreuth, Germany. Tel.: 149 921 55 5620; fax: 149 921 55 5799; e-mail: [email protected] Received 20 December 2010; revised 28 February 2011; accepted 28 February 2011. Final version published online 13 April 2011. DOI:10.1111/j.1574-6941.2011.01080.x Editor: Gary King MICROBIOLOGY ECOLOGY Keywords atmospheric methane oxidation; acidic fen; Methylocystis ; pmoA; mmoX; terrestrial microbiology. Abstract Aerobic methane (CH4) oxidation reduces the emission of CH4 from mires and is regulated by various environmental factors. Organic acids and alcohols are intermediates of the anaerobic degradation of organic matter or are released by plant roots. Methanotrophs isolated from mires utilize these compounds preferentially to CH4. Thus, the effect of organic acids and ethanol on CH4 oxidation by methanotrophs of a mire was evaluated. Slurries of mire soil oxidized supplemental CH4 down to subatmospheric concentrations. The dominant pmoA and mmoX genotypes were affiliated with sequences from Methylocystis species capable of utilization of acetate and atmospheric CH4. Soil slurries supplemented with acetate, propionate or ethanol had reduced CH4 oxidation rates compared with unsupplemented or glucose-supplemented controls. Expression of Methylocystisaffiliated pmoA decreased when CH4 consumption decreased in response to acetate and was enhanced after acetate was consumed, at which time the consumption of CH4 reached control levels. The inhibition of methanotroph activity might have been due to either toxicity of organic compounds or their preferred utilization. CH4 oxidation was reduced at 5 and 0.5 mM of supplemental organic compounds. Acetate concentrations may exceed 3 mM in the investigated mire. Thus, the oxidation of CH4 might decrease in microzones where organic acids occur. Introduction Mires are the largest single source of atmospheric methane (CH4) on Earth (100–237 Gt yr1) (Denman et al., 2007) and are represented by various wetland types, such as peat bogs and fens (Gore, 1983). Mire-inhabiting aerobic methanotrophic bacteria (hereafter methanotrophs) consume up to 90% of endogenously produced CH4 (Shannon et al., 1996; Hornibrook et al., 2009). Thus, methanotrophs are important to CH4 fluxes in such wetland ecosystems. Mire methanotrophs are active at anoxic–oxic interfaces (Sundh et al., 1994, 1995; Kettunen et al., 1999). The upper 0.3 m of peat bog soils has the spontaneous capacity to oxidize CH4 in the presence of oxygen (O2) (Macdonald et al., 1996; Chen et al., 2008a; Tuomivirta et al., 2009). O2 is a key factor in mires that alters both the oxidation and the production of CH4, and hence net emission rates of CH4 (Kettunen et al., 1999). O2 concentrations in mire soils vary due to fluctuations in the water table and vascular plants (e.g. sedges) that leak O2 (Moog & Bruggemann, 1998; Kettunen et al., 1999; 2011 Federation of European Microbiological Societies Published by Blackwell Publishing Ltd. All rights reserved c Mainiero & Kazda, 2005; Paul et al., 2006). Mires may not only be net sources of CH4 but may also be temporary net sinks of CH4 (Dedysh & Panikov, 1997; Denman et al., 2007; Dalal & Allen, 2008). Thus, the factors that create varying zones of CH4 consumption and CH4 production make it difficult to predict emission rates of CH4 (Dalal & Allen, 2008; Knorr et al., 2008, 2009; Hornibrook et al., 2009). Methanotrophic communities in mires are dominated by species of Alphaproteobacteria (Dedysh, 2009). Methanotroph pure cultures have primarily been isolated from moss (Sphagnum)-covered mires (i.e. peat bogs) and are acidotolerant species of the genera Methylocystis, Methylocella and Methylocapsa (Alphaproteobacteria) (Dedysh et al., 2001, 2002, 2003; Chen et al., 2008a, b; Dedysh, 2009). Uncultivated alphaproteobacterial methanotrophs are associated with Sphagnum cuspidatum (Raghoebarsing et al., 2005; Kip et al., 2010). An uncultivated taxon containing pmoA (gene encoding the hydroxylase subunit of the particulate CH4, monooxygenase pMMO) genotype MHP was detected in Calluna-covered wetlands (Chen et al., 2008a). MHP is FEMS Microbiol Ecol 77 (2011) 28–39 29 Organic compounds alter methanotroph activity in fen soil closely affiliated with Methylocapsa acidiphila (Chen et al., 2008a; Degelmann et al., 2010). Gammaproteobacterial methanotrophs may also be present in mire communities (Morris et al., 2002; Jaatinen et al., 2005; Chen et al., 2008a). Methanotroph abundances in fen soils are not known, but their abundances have been measured in various peat bog soils and range from 106 to 108 cells g1 soil wet weight (Sundh et al., 1995; Dedysh et al., 2001, 2002, 2003; Dedysh, 2009; Belova et al., 2011). Most cultured methanotrophs are restricted to the utilization of CH4 and other single carbon compounds (Trotsenko & Murrell, 2008). However, species of the genera Beijerinckiaceae and Methylocystaceae may utilize alternative compounds such as acetate (Dedysh et al., 2005; Dunfield et al., 2010; Belova et al., 2011). Mire-derived isolates belong to the genera Methylocystis and Methylocella. Methylocystis strain H2s was isolated from a bog and grows slowly on acetate in the absence of CH4 (Belova et al., 2011). Strain H2s-related phylotypes are abundant in northern mires, comprising 18–58% (i.e. 0.4 107–3.4 107 cells g1 soil wet weight) of detected alphaproteobacterial methanotrophs (Belova et al., 2011). Methylocella species are facultative methanotrophs that appear to utilize acetate, malate, succinate or ethanol in preference to CH4 (Dedysh et al., 2005). Acetate inhibits the ability of Methylocella silvestris BL2 to utilize CH4 by repressing the synthesis of soluble CH4 monooxygenase (sMMO; the gene for the hydroxylase subunit is mmoX) (Theisen et al., 2005). Acetate and ethanol are typical fermentation products that are intermediates of the anaerobic degradation of organic matter in mires (Drake et al., 2009; Wüst et al., 2009). These compounds are also root exudates of mire plants (Strom et al., 2003; Crow & Wieder, 2005). Acetate concentrations in soil pore waters of mires vary both temporally and spatially and can range as high 3.2 mM (Shannon et al., 1996; Hines et al., 2001; Duddleston et al., 2002; Rooney-Varga et al., 2007; Knorr et al., 2008; Küsel et al., 2008). Thus, organic compounds may be determinants of CH4 oxidation in habitats that are inhabited by facultative methanotrophs (Dedysh et al., 2005; Theisen & Murrell, 2005). The objective of the current study was to determine the effect of organic compounds on methanotrophic communities and CH4 oxidation of Sphagnum fallax-covered patches of a temperate fen. Materials and methods Study site and sampling Four soil cores (diameter 8 cm, depth 25 cm) were sampled in August 2008 and three in May 2009 from different S. fallax-covered patches of the acidic (pH 4.5) fen Schlöppnenbrunnen (Fichtelgebirge, Bavaria, Germany; FEMS Microbiol Ecol 77 (2011) 28–39 50107 0 5300 N, 11152 0 5100 E, 700 m a.s.l.). The moss patches were dominated by S. fallax. Sphagnum palustre was occasionally present, but such patches were not sampled. Areas lacking mosses were dominated by grasses and sedges, i.e. Molinia caerulea, Eriophorum vaginatum, Juncus effusus and Carex canescens (Gerstenberger, 2001; Knorr et al., 2009; Küsel et al., 2008). The mean annual air temperature was 6.3 1C and the mean annual precipitation was 1020 mm (Knorr et al., 2009). The soil type is a fibric histosol on granite bedrock (Paul et al., 2006; Wüst et al., 2009). Intact soil cores were placed in water-tight plastic bags and incubated at 20 1C under day–night light conditions to maintain photosynthesis of mosses. Evaporated water was regularly refilled. Sphagnum fallax-associated consumption of CH4 Living mosses were removed from soil cores. Dead plant material was removed. The plants were pooled and washed three times with distilled water. The washed plants were placed in sterile flasks (three replicates) that were closed with gas-tight stoppers. The atmosphere was ambient air supplemented with 1000 mL L1. CH4 (approximately 1.4 mM in the aqueous phase; Riessner Gase GmbH, Germany). Plants were incubated for 50 days under a continuous day–night (12 h light, 12 h darkness) cycle at 20 1C in closed bottles. Light was supplied with a standard light bulb. Fresh sterile air was regularly added with syringes. Effect of organic compounds on methanotrophs and oxidation of CH4 Maximal concentrations of organic acids in the Schlöppnerbrunnen fen soil may exceed 3.5 mM (Küsel et al., 2008). Thus, supplemental substrate concentrations of 0.5–5 mM were chosen to investigate the effect of different organic compounds on methanotrophs and CH4 oxidation. Mossfree fen soil samples from the upper 20 cm of three different soil cores were homogenized and pooled. Forty grams of the homogenate was placed into 500 mL flasks, diluted with 80 mL sterile water, sealed with gas-tight rubber stoppers. Treatments were performed in triplicate. Anoxic controls had a gas phase of sterile argon (100%; Riessner Gase GmbH). Experiments were initiated by adding CH4 (1000 mL L1). Slurries were incubated in the dark at 20 1C in a rotary shaker (60 r.p.m.). Liquid samples (2 mL) were taken with sterile syringes (10 mL; BD, Germany), frozen immediately on liquid nitrogen and stored at 80 1C until analysed. Analysis CH4 was determined with a gas chromatograph equipped with a flame ionization detector (Hewlett Packard) 2011 Federation of European Microbiological Societies Published by Blackwell Publishing Ltd. All rights reserved c 30 (Degelmann et al., 2010). Organic acids and alcohols were measured by HPLC (Hewlett Packard) (Küsel & Drake, 1995). pH and soil dry weight were determined according to previously published protocols (Matthies et al., 1993; Maurer et al., 2008). Dry weight was determined by drying plants at 60 1C until plant weight was constant. CH4 oxidation rates were calculated from the linear part of the first-order kinetics plotted through at least six data points in each experimental replicate (Maurer et al., 2008). Concentrations of CH4 are combined from both the gas and the liquid phases and were calculated from the ideal gas law taking into consideration the actual pressure, temperature, pH, volume of gas and liquid phases in incubation flasks, and the Bunsen coefficient (Matthies et al., 1993). A pairwise t-test was applied to test if CH4 oxidation rates of incubations that were supplemented with CH4 plus acetate or another organic compound (three experimental replicates) were different from rates measured in the respective control incubations (three experimental replicates) that were only supplied with CH4. DNA and RNA extraction DNA was extracted from 0.3 g of fen soil with a modification of a published protocol (Stralis-Pavese et al., 2004). Soil was frozen and thawed, lysozyme was added to lysis buffer 1 and proteinase K was omitted. DNA and RNA for enumeration of the pmoA gene and transcript numbers by quantitative PCR (qPCR) were coextracted according to another protocol optimized for simultaneous recovery of DNA and RNA from soil samples (Griffiths et al., 2000), followed by separation of DNA and RNA using the Qiagen RNA/DNA Mini Kit (Qiagen GmbH, Germany). DNA and RNA extracts were quantified using the Quant-iTTM PicoGreens dsDNA kit and the Quant-iTTM RiboGreens RNA assay kit (Invitrogen, Germany), respectively. Construction of pmoA and mmoX gene libraries DNA extracts from soil cores were pooled. One microlitre DNA extract was used in PCRs. The reaction mix contained Premix F (Epicentre) combined with a Taq DNA polymerase recombinant (Invitrogen). The pmoA gene was amplified with primers A189F (5 0 -GGNGACTGGGACTTCTGG-3 0 ) and A682R (5 0 -GAASGCNGAGAAGAASGC-3 0 ) (500 mM final concentration) (Holmes et al., 1995). The PCR protocol was: initial denaturation at 94 1C for 8 min, 11-cycle touchdown (denaturation at 94 1C for 1 min, elongation at 72 1C for 1 min) including a stepwise decrease of the annealing temperature from 62 to 52 1C (1 min), 24 repeated cycles with denaturation, annealing (52 1C) and elongation, followed by a final elongation at 72 1C (7 min). The pmoA2 gene was amplified with primers pmoA206f (5 0 GGNGACTGGGACTTCTGGATCGACTTCAAGGATCG-3 0 ) 2011 Federation of European Microbiological Societies Published by Blackwell Publishing Ltd. All rights reserved c A.S. Wieczorek et al. and pmoA703b (5 0 -GAASGCNGAGAAGAASGCGGC GACCGGAACGACGT-3 0 ) (125 mM final concentration) (Yimga et al., 2003). The mmoX gene was amplified with primers mmoX206f (5 0 -ATCGCBAARGAATAYGCSCG-3 0 ) and mmoX886r (5 0 -ACCCANGGCTCGACYTTGAA-3 0 ) (500 mM) (Hutchens et al., 2004). Temperature profiles and annealing conditions (including primer and Mg21 concentrations) were as published elsewhere (Yimga et al., 2003; Hutchens et al., 2004). Genomic DNA of Methylococcus capsulatus Bath (pmoA and mmoX) and Methylocystis parvus (pmoA and pmoA2) were used as positive controls. PCR products were purified using a MinElute gel extraction kit (Qiagen GmbH), ligated into vector pGEM-T (Promega, Germany) and transformed into competent Escherichia coli JM109 cells (Promega) according to the manufacturer’s protocol. Clones were screened for insert-positive vectors by amplification with primers M13uni and M13rev (Messing, 1983) and subsequent fragment length analysis with agarose gel electrophoresis. M13-PCR products were purified before sequencing with a Millipore Multiscreen 96-well filtration system (Millipore Corp.) and sequenced commercially (Macrogen Inc., Seoul, South Korea). pmoA and mmoX analyses pmoA and mmoX gene sequences were edited, translated into amino acid sequences and aligned (CLUSTALW algorithm in MEGA, version 4.0) (Tamura et al., 2007). The alignments were refined manually. Similarity-based distance matrices were calculated from alignments of amino acid sequences. PmoA and MmoX sequences were grouped into specieslevel operational taxonomic units (OTUs) with the software DOTUR (Schloss & Handelsman, 2005) and a species-level OTU threshold value of 7% dissimilarity (Degelmann et al., 2010). Phylogenetic trees were constructed from sequences representative of each OTU, their closest related genotypes (BLAST analysis using the latest version of the GenBank nucleotide database; Altschul et al., 1990) and distantly related genotypes using ARB (Ludwig et al., 2004). pmoA and mmoX gene sequences were deposited at the European Molecular Biology Laboratory (EMBL) database (http:// www.ebi.ac.uk/embl/) (FR726166–FR726182). Quantification of Methylocystis -related pmoA qPCR was performed on an iCycler thermocycler with the iQ5 multicolor PCR detection system (Bio-Rad, Germany), and data were analysed with IQ5 OPTICAL SYSTEM software (version 2.0; Bio-Rad). pmoA of Methylocystis-related genes was quantified using the qPCR assay TYPEII with modified primers [II223f (5 0 -CGTCGTATGTGGCCGAC-3 0 ; Kolb et al., 2003) and II646mR (5 0 -CGTGCCGCGCTCGAC CATGCG-3 0 ; current study)]. Reactions were performed in duplicate in Thermosprint 96 PCR plates sealed with FEMS Microbiol Ecol 77 (2011) 28–39 31 Organic compounds alter methanotroph activity in fen soil Thermosprint transparent sealing tapes (Bilatec, Germany). The reaction volume was 20 mL. Five microlitres of DNA solution containing 1–6 ng DNA was added to 15 mL of reaction mix containing primers and twofold SensiMix Plus SYBR and Fluorescein Supermix (Quantace, Germany). The final primer concentration of all assays was 500 nM. The initial denaturation was at 95 1C for 8 min, followed by 45 PCR cycles (denaturation at 95 1C for 25 s, annealing at 66 1C for 20 s and elongation at 72 1C for 45 s). Fluorescence data of TYPEII assay were collected at an additional step after elongation (82 1C, 10 s), as primer dimer formation was evident by melting curve analysis. Quantitative DNA standards were dilution series of quantified (Quant-iT PicoGreen dsDNA kit; Invitrogen) pmoA gene inserts flanked by partial pGEM-T vector sequences (Degelmann et al., 2010) that had identical primer binding sites as those of pmoA genes of M. parvus. Specificity of pmoA measurements Target group specificity of all qPCR measurements was evaluated. qPCR products obtained by the TYPEII assay from each treatment (including all time points, products of DNA- and cDNA-based measurements) were pooled. Specificity was evaluated by cloning of qPCR products and BLAST analysis (Altschul et al., 1990) of at least 46 vector insert sequences per cloned amplicon. All sequences (n = 140) were affiliated with the target sequence group of the TYPEII assay and were Z93% similar to pmoA genes of Methylocystis species (data not shown). pmoA gene sequences were deposited at the EMBL database (http://www.ebi.ac.uk/ embl/) (FR726183–FR726200). Results Oxidation of CH4 by S. fallax and fen soil Quantification of pmoA transcripts RNA extracts were reverse transcribed using random hexamer primers (SuperScript Vilo cDNA Synthesis Kit; Invitrogen) and pmoA cDNA quantities were then analysed by qPCR as described above. cDNA numbers were corrected for the amount of extracted total RNA and related to gene numbers and variable in vitro transcription efficiencies. Bias correction of qPCR measurements Coextracted inhibitory compounds, such as humic substances, may inhibit qPCR measurements leading to incorrect and underestimated gene numbers (Degelmann et al., 2010). Thus, every DNA extract was spiked with 2 106 inhibition-control DNA molecules mL1. DNA extracts were quantified with the pmoA-specific assay, and additionally with assay INHIB-CORR to calculate a factor that allows for correction of pmoA gene numbers (Degelmann et al., 2010). Transcript quantification may also be biased due to variable reverse transcription efficiencies. Thus, RNA extracts were spiked with 2 108 inhibition-control RNA molecules mL1. The single-stranded inhibition-control RNA was synthesized by in vitro transcription of pGEM-T vector DNA using the T7 transcription kit (Fermentas, Germany). The product was purified according the manufacturer’s instructions and quantified (Quant-iTTM RiboGreens RNA assay kit; Invitrogen). The RNA extracts were then spiked with inhibitioncontrol RNA and quantified with the newly established assay RNA-INHIB-CORR [IHCf (5 0 -ATTGGGCCCGACGTC-3 0 ), IHCr (5 0 -ATTTAGGTGACACTATAGAATA-3 0 )]. The thermo profile was similar as for the TYPEII assay, but annealing was optimal at 60 1C (20 s) and fluorescence data were acquired during elongation. The correction factor was calculated as described for DNA-based measurements (Degelmann et al., 2010) FEMS Microbiol Ecol 77 (2011) 28–39 Initial experiments with fen material (i.e. a combination of S. fallax and soil) demonstrated that supplemental acetate and ethanol decreased the consumption (presumably due to oxidation) of 1000 mL L1. CH4 under oxic conditions (see Supporting Information, Fig. S1). In subsequent, more detailed analyses, all tested samples (i.e. S. fallax and different depths of fen soil) consumed CH4 (Table 1). Consumption of CH4 followed first-order reaction kinetics (Fig. 1). Production of CH4 under anoxic conditions was negligible (data not shown). Fen soil displayed a greater capacity to consume CH4 than did S. fallax (Table 2). Nonetheless, washed moss oxidized CH4 for 4 100 days (data not shown). CH4 was consumed to below atmospheric concentrations (i.e. o 1.8 p.p.m.; Fig. 1), indicating the presence of methanotrophs that were capable of utilizing atmospheric CH4. Methanotrophic community composition The number of sequences of pmoA (n = 260) and mmoX (n = 170) covered 4 90% of the estimated genotypes based on rarefaction analyses (Fig. S2). A total of 10 and seven OTUs were estimated for pmoA and mmoX, respectively (Fig. S2). Dominant pmoA and mmoX genotypes (82% and 64% for pmoA and mmoX, respectively) belonged to Methylocystis (Methylocystaceae; Figs 2 and 3). The closest cultured relatives of the dominant pmoA genotype OTU 1 were Methylocystis strains SC2, DWT and LR1 (Fig. 2), strains capable of atmospheric CH4 consumption (Kolb, 2009). OTU 1 was also similar (o 10% difference based on amino acid sequence) to the bog-derived Methylocystis strain H2s (Belova et al., 2011). OTU 7 was closely related to pmoA2, and its detection suggested the presence of methanotrophs with an alternative CH4 monooxygenase that utilizes atmospheric CH4 (Yimga et al., 2003; Baani & Liesack, 2008). 2011 Federation of European Microbiological Societies Published by Blackwell Publishing Ltd. All rights reserved c 32 A.S. Wieczorek et al. Table 1. Apparent CH4 oxidation rates (Vapp) of Sphagnum fallax and fen soil Treatment S. fallaxw Control Ethanol (5 mM) Ethanol (0.5 mM) Acetate (5 mM) Acetate (0.5 mM) Control Ethanol (5 mM) Ethanol (0.5 mM) Acetate (5 mM) Acetate (0.5 mM) Control Ethanol (5 mM) Ethanol (0.5 mM) Acetate (5 mM) Acetate (0.5 mM) Control Glucose (5 mM) Acetate (5 mM) Propionate (2.5 mM) Ethanol (2.5 mM) 1.0 0.3 0.5 0.0z ND ND ND 4.7 0.9 1.6 0.5z 4.1 0.8 0.8 0.1z 4.0 0.9z 5.1 0.8 2.2 0.3z 3.4 0.6z 1.0 0.3z 4.5 0.1 6.9 0.5 6.6 0.2 1.6 0.2z 2.7 0.3z 5.3 0.3z 0–6 cm soilw 6–15 cm soilw 0–20 cm soil‰ Supplemental CH was 1000 mL L1. CH (7 mmol g1 dry weight), and 4 4 rates were measured for 19 h after supplementation with organic compounds. Values are mean SD. w The sampling date was August 2008. z Respective rates were statistically different (p 0.05) from the unsupplemented control (pairwise t-test). ‰ The sampling date was May 2009. ND, not determined. 0.03 6 2011 Federation of European Microbiological Societies Published by Blackwell Publishing Ltd. All rights reserved c 0.01 40 60 80 100 4 2 0 0 20 40 60 Time (h) 80 100 Fig. 1. Utilization of supplemental CH4 by slurries of fen soil. Soil was obtained in August 2008. Inset: a magnified view of the latter time period. Filled circles, CH4 in treatment with ambient air and supplemental CH4; empty circles, CH4 in anoxic treatment without supplemental CH4. The dotted line in the inset is the atmospheric mixing ratio (1.8 p.p.m. CH4). Error bars are the SD of mean values of three replicates. Table 2. Apparent CH4 oxidation rates of Sphagnum fallax and fen soil Material w The mmoX gene library was dominated by OTUs 1 and 2, genotypes that were closely related to isolates H2s and LR1. These OTUs displayed o 10% dissimilar mmoX-encoded amino acid sequences (Fig. 3). Approximately 13% of the detected MmoX OTUs affiliated with facultative methanotrophic Beijerinckiaceae (Methylocella spp.; Fig. 3). The MmoX OTU 6 represented a novel deep branching genotype with a nucleotide sequence that was Z23% dissimilar to those of published mmoX genes. However, the low relative abundance of OTU 6 (0.6%; Fig. 3) indicates that it was probably unimportant to the in situ oxidation of CH4. Methylococcaceae were also detected with the two gene markers. However, Methylococcaceae-affiliated OTUs contributed only 4.7% of all pmoA and mmoX sequences (Figs 2 and 3). Gammaproteobacterial PmoA proteins were related ( o 10% based on amino acid sequence) to uncultured species previously detected in a peat bog (Fig. 2; Chen et al., 2008a), and the respective MmoX OTUs were highly similar ( o 3% based on amino acid sequence) to sequences of M. capsulatus and Methylomonas sp. LW13 (OTUs 5 and 7, respectively; Fig. 3). 0.05 8 CH4 (µmol g–1soil DW) Material Vapp CH4 (mmol g1 dry weight soil day1) S. fallax 0–6 cm soilz 6–15 cm soilz CH4 (mmol g1 dry weight soil day1) 1.0 0.3 4.7 0.9 5.1 0.8 The sampling date was August 2008. Values are means with SDs. w Sphagnum fallax plants were incubated for 4 100 days under an oxic atmosphere with 1000 mL L1. CH4 (7 mmol g1 dry weight). z Soil slurries were incubated for 24 h. Effect of organic compounds on the oxidation of CH4 and expression of Methylocystis pmoA CH4 oxidation was impaired when CH4-supplemented fen soil slurries were supplemented with acetate, ethanol or propionate (Figs 4c and 5) as compared with unsupplemented soil slurries (Fig. 4a). In contrast, glucose did not affect CH4 oxidation (Fig. 4b). CH4 oxidation rates decreased significantly with 5 mM organic compounds. Although CH4 oxidation rates were decreased less with 0.5 mM organic compounds than with 5 mM organic compounds, the differences between the rates obtained with these two concentrations were statistically significant (Table 1). The pH at the start of incubations varied between 4.4 and 5.0, and stayed constant or increased up to a maximum of FEMS Microbiol Ecol 77 (2011) 28–39 0.10 54% 53% 86% 69% OTU 8 | 0.8% OTU 9 | 0.8% OTU 6 | 1.9% Environmental sequence (EF644624) OTU 1 | 81.9% Environmental sequence (FJ930092) OTU 2 | 1.9% Methylocystis sp. SC2 (AJ431386) Methylocystis sp. DWT (AJ868404) M th l ti sp. LR1 (Y18443) 55% Methylocystis 67% OTU 4 | 6.9% Environmental sequence (AY781164) 52% 85% Methylocystis sp. H2s (FN422005) 81% OTU 5 | 2.3% 97% Environmental sequence (AJ868287) 64% ‘Methylosinus acidophilus’ (DQ076755) Methylosinus sporium (DQ119048) 70% Methylosinus trichosporium BF1 (AJ868409) 69% 56% Cluster 5 (AJ868265) RA14 (AF148521) 54%Methylocapsa acidiphila B2 (AJ278727) 77% AC (AY550736) Cl t 4 (AJ868259) Cluster 97% OTU 7 | 1.9% Environmental sequence (AY781169) Methyloc cystaceae 33 Organic compounds alter methanotroph activity in fen soil 100% Methylocystis sp. SC2 (AJ431387) Fig. 2. Phylogenetic tree of PmoA OTUs and reference sequences. Gene libraries were prepared from the August 2008 sampling. Percentage values after OTUs indicate the relative frequency of sequences assigned to a given OTU. The total number of sequences was 260. Accession numbers are given in parentheses. The tree was calculated using translated amino acid sequences by applying the TREEPUZZLE algorithm (126 amino acids, JTTsubstitution model; Schmidt et al., 2002). Percentage values at nodes are tree puzzle estimates (based on 25 000 replicates). Open circles at nodes indicate that these nodes were confirmed by the ARB-implemented neighbour-joining algorithm using the same dataset (Ludwig et al., 2004). Scale bar, 10% sequence divergence. 59% 96% OTU 10 | 0.4% Environmental sequence (AY781167) 83% 96% OTU 3 | 1.2% Environmental sequence (AY781161) Cluster 3 (AJ868281) 68% 64% Methylococcus capsulatus BL4 (AB484601) Methylomonas y methanica ((EU722434)) 90% 52% JR3 (FJ970601) USC γ (AJ579669) Cluster 2 (AJ868278) 89% Cluster 1 (AJ868245) Crenothrix polyspora (DQ295899) 80% Nitrosomonas europaea (AF037107) MR1 (AF200729) RA21 (AF148522) Methylacidiphilum fumariolicum SolV (EF591085) 6.0 when supplemental organic compounds were consumed (Figs 4 and 5). Glucose, acetate and ethanol were utilized without apparent delay (Fig. 5). Propionate consumption started after 20 h (Fig. 5b). CH4 was consumed without apparent delay in all treatments, but rates were lowered by 75%, 22% and 60% in the presence of supplemental acetate, propionate or ethanol, respectively (Figs 4 and 5; Table 1). CH4 oxidation rates and pmoA gene expression increased when supplemental acetate was consumed to 0.5 mM or less (Fig. 4c). The decreased oxidation of CH4 was maximal above 1 mM acetate (Fig. 4c). pmoA expression in the FEMS Microbiol Ecol 77 (2011) 28–39 Methylo ococcaceae 77% pmoA2 88% presence of glucose was similar to expression patterns observed in the unsupplemented control (Fig. 4a and b). The number of pmoA transcripts increased concomitantly to the consumption of supplemental CH4 and decreased subsequent to the consumption of CH4 (Fig. 4). In contrast, pmoA gene numbers remained relatively constant over time (Table S1) and approximated 7.9 106 g1 soil dry weight. The in silico translated amino acid sequences of the pmoA genes amplified by qPCR from soils obtained in May 2009 were at least 86–92% similar to PmoA of known Methylocystis strains and 88–99% similar to the dominant OTU 1 that was detected in soil collected in August 2008 and used 2011 Federation of European Microbiological Societies Published by Blackwell Publishing Ltd. All rights reserved c 34 A.S. Wieczorek et al. Methylocystis sp. LR1 (AJ458522) 65% ‘Methylosinus acidophilus’ (DQ076756) 93% 92% ‘Methylocystis bryophila’ strain H2s (FN422004) OTU 1 | 63.5% OTU 2 | 18.2% Methylocystaceae 0.10 Environmental sequence (AY781159) 100% Environmental sequence (EF644584) OTU 6 | 0.6% Methylocella palustris (AJ458535) OTU 3 | 8.8% Environmental sequence (EF633470) 70% % Methylocella silvestris (AJ491848) Methylocella tundrae (AJ555245) 93% OTU 4| 4.1% 92% Environmental sequence (EF644587) 100% OTU 5 | 4.1% Methylococcus capsulatus (AE017282) OTU 7 | 0.6% 97% Environmental sequence (EF644603) Methylomonas sp. LW13 (AY007290) Methylomicrobium buryatense (DQ295843) for gene library construction. These results indicated that the Methylocystis species that responded to CH4 and organic compounds in the May 2009 sampling were the same as the dominant Methylocystis species detected in the August 2008 sampling (i.e. Figs 4 and 5). Discussion The methanotrophic community of Schlöppnerbrunnen S. fallax-covered patches comprised facultative and obligate methanotrophs. Uncultured Methylocystis species were the main constituents of the methanotrophic community, and their abundances approximated 4 106 cells g1 soil dry weight (based on the number of detected pmoA sequences and the assumption that a methanotrophic cell contains two copies of pmoA) (Kolb et al., 2005). This is within the range of values from previous studies on mire methanotrophs 2011 Federation of European Microbiological Societies Published by Blackwell Publishing Ltd. All rights reserved Methylococcaceae 77% c Beijerinckiaceae 67% Fig. 3. Phylogenetic tree of MmoX OTUs and reference sequences. Gene libraries were prepared from the August 2008 sampling. Percentage values after OTUs indicate the relative frequency of sequences assigned to a given OTU. The total number of sequences was 260. Accession numbers are given in parentheses. The tree was calculated using translated amino acid sequences by applying the TREEPUZZLE algorithm (225 amino acids, JTT substitution model; Schmidt et al., 2002). Percentage values at nodes are tree puzzle estimates (based on 25 000 replicates). Open circles at nodes indicate that these nodes were confirmed by the ARB-implemented neighbour-joining algorithm using the same dataset (Ludwig et al., 2004). Scale bar, 10% sequence divergence. (Dedysh et al., 2001, 2003; Dedysh, 2009; Belova et al., 2011). Pore water concentrations of CH4 may vary between 0 and 460 mM in the investigated fen (Knorr et al., 2008, 2009). Concentrations of 6.4 nM CH4 would be sufficient to maintain the number of detected methanotroph cells (Kolb et al., 2005). The accumulation of storage polymers and their subsequent utilization (Dunfield, 2007), the utilization of alternative substrates (Dedysh et al., 2005), or the utilization of high-affinity pMMO (Baani & Liesack, 2008) might constitute strategies for coping with highly variable CH4 availability in mires. Atmospheric CH4 consumption and dominant genotypes Methanotrophs capable of utilizing atmospheric CH4 may be favoured in zones with low concentrations of CH4 that FEMS Microbiol Ecol 77 (2011) 28–39 35 Organic compounds alter methanotroph activity in fen soil 8 CH4 (µmol g–1soil DW) 8 8 4 4 0 (c) CH4 (µmol g–1soil DW) 8 Fig. 4. Effect of supplemental glucose and acetate on the consumption of supplemental CH4 and the expression of Methylocystisaffiliated pmoA in slurries of fen material (i.e. a mixture of fen soil and Sphagnum fallax). Fen material was obtained in May 2009. (a) Control slurries without supplemental organic compounds. (b) Slurries supplemented with 5 mM glucose. (c) Slurries supplemented with 5 mM acetate. Small filled black circles, CH4; cross, pH; open polygons, glucose; open triangles, acetate; large filled black circles (connected with thick line), pmoA transcripts. Error bars are the SD of mean values of three replicates. Acetate 4 occur in the investigated fen soil (Knorr et al., 2009). Indeed, structural gene analyses indicated that dominant methanotrophs in the fen (i.e. pmoA OTU 1 and mmoX OTU 1) were closely related to Methylocystis strains that are capable of atmospheric CH4 oxidation (Dunfield et al., 1999, 2002; Dunfield & Conrad, 2000; Knief & Dunfield, 2005; Baani & Liesack, 2008). It is likely that pmoA OTU 1 and mmoX OTU 1 belong to the same novel uncultured Methylocystis species as they are both closely related (o 5% difference in amino acid sequence) to Methylocystis strain LR1 (Figs 2 and 3). The detected genotypes probably represented a novel species most closely related to the mire-associated Methylocystis FEMS Microbiol Ecol 77 (2011) 28–39 20 40 pmoA transcript–gene ratio pH 10–2 5 10–3 10–4 4 8 6 0 0 6 0 4 0 10–4 4 0 Glucose 10–3 10–2 5 10–3 10–4 pmoA transcript–gene ratio (b) 5 pmoA transcript–gene ratio 0 10–2 pH 4 Organic compounds (mM) 4 6 pH Control Organic compounds (mM) CH4 (µmol g–1 soil DW) 8 Organic compounds (mM) (a) 4 60 Time (h) heyeri and ‘Methylocystis bryophila’ H2s. The high relative abundance of OTU 1 in pmoA and mmoX libraries indicated that this putative species was the main driver of CH4 oxidation in the investigated fen soil (Figs 2 and 3). Distribution of CH4 oxidation in S. fallax patches Endophytic methanotrophs in the moss S. cuspidatum belong to the Alphaproteobacteria and may oxidize up to 80 mmol CH4 g1 dry weight moss day1 (Raghoebarsing et al., 2005; Kip et al., 2010). CH4 oxidation rates by washed S. fallax in the current study were approximately 2011 Federation of European Microbiological Societies Published by Blackwell Publishing Ltd. All rights reserved c 36 A.S. Wieczorek et al. 5 4 0 0 4 8 6 8 Propionate 4 4 0 0 0 20 40 Time (h) 5 pH 6 pH 8 4 (b) CH4 (µmol g–1soil DW) Ethanol Organic compounds (mM) CH4 (µmol g–1soil DW) 8 Organic compounds (mM) (a) 4 60 Fig. 5. Effect of supplemental ethanol and propionate on the consumption of supplemental CH4 by slurries of fen material (i.e. a mixture of fen soil and Sphagnum fallax). Fen material was obtained in May 2009. (a) Slurries supplemented with 2.5 mM ethanol. (b) Slurries supplemented with 2.5 mM propionate. Filled black circles, CH4; cross, pH; empty diamonds, ethanol; empty rectangles, propionate. Error bars are the SD of mean values of three replicates. 160-fold lower than previously reported rates. Thus, it seems likely that such an endophytic association of methanotrophic Alphaproteobacteria in the S. fallax of the Schlöppnerbrunnen fen was not significant. CH4 oxidation occurred without apparent delay in the upper 15 cm of the fen, and CH4 oxidation rates of fen soil were higher than those of mosses. The experimental CH4 concentrations (2.5 mM) were in situ relevant (Knorr et al., 2009), suggesting that moss patches constituted a highly active zone of methanotrophy. The spontaneous activity of 6–15 cm fen soil suggested that O2 is at least temporarily available down to 15 cm, which is in accordance with previous studies on the availability of O2 in peat bogs and the Schlöppnerbrunnen fen (Sundh et al., 1995; Knorr et al., 2008). Methanotroph community composition Members of Methylocystaceae (e.g. Methylocystis and Methylosinus) and Beijerinckiaceae (e.g. Methylocella) are dominant in various northern peat lands (Dedysh et al., 2001, 2002, 2003; 2011 Federation of European Microbiological Societies Published by Blackwell Publishing Ltd. All rights reserved c Chen et al., 2008a, b; Dedysh, 2009). mmoX sequences indicative of facultative methanotrophic Beijerinckiaceae were detected in the current study, but their relative abundance was low (o 13%). Likewise, uncultured, peat land-specific Methylococcaceae-affiliated genotypes occur in mires (e.g. Jaatinen et al., 2005) and were also detected in the present study, although their abundance was low (o 4.7%). It has been speculated that methanotrophic Verrucomicrobia (Methylacidiphilaceae; Op den Camp et al., 2009) may go undetected, as these recently discovered methanotrophs harbour pmoA genes that cannot be amplified with certain primers (Dunfield et al., 2007; Degelmann et al., 2010). Nonetheless, the acidophilic nature of methanotrophic Verrucomicrobia suggests that they might be common inhabitants of acidic peat lands (Dedysh, 2009). Primers targeting pmoA of known Verrucomicrobia (Degelmann et al., 2010) did not yield PCR products from fen soil DNA extracts (data not shown), indicating that methanotrophic Verrucomicrobia were either not present in detectable abundances or were distantly related to known methanotrophic Verrucomicrobia. Response of fen methanotrophs to organic compounds Although supplemental acetate decreased CH4 oxidation rates and pmoA expression, detected pmoA numbers were not appreciably affected by this treatment (Table S1), suggesting that these compounds primarily altered the activity rather than growth (i.e. replication) of methanotrophs. That glucose did not affect CH4 oxidation indicated that there was an organic compound-specific effect on the activity of methanotrophs. The apparent inhibition of methanotrophic activity of fen soil by certain fatty acids and ethanol might have been due to the preferred utilization of the organic supplements. This hypothesis is supported by the presence of (1) facultative methanotrophic species (Beijerinckiaceae; Dedysh et al., 2005) and (2) a Methylocystis-affiliated species that is closely related to ‘M. bryophila’ H2s, an organism capable of growth on 3.5 mM acetate (Belova et al., 2011). Thus, facultative methanotrophs may have altered their substrate utilization and reduced their biosynthesis of pMMO in response to alternative carbon sources, and obligate methanotrophs (e.g. Methylococcaceae) may have consumed CH4 in the presence of organic compounds. These possibilities are consistent with the spontaneous but reduced oxidation of CH4 at the beginning of incubations with supplemental acetate and ethanol (Figs 4 and 5). Alternatively, the inhibitory effects of supplemental organic compounds may have been caused by toxic effects. High concentrations of acetate (pKa = 4.8) and propionate (pKa = 4.9) might be toxic at pH values o 4.8, as their FEMS Microbiol Ecol 77 (2011) 28–39 37 Organic compounds alter methanotroph activity in fen soil protonated forms may perturb membrane potentials and uncouple ATP synthesis (Russel, 1992). Ethanol had less effect on the oxidation of CH4 than did propionate. Supplemental acetate, glucose and ethanol were consumed without apparent delay (Figs 4 and 5), suggesting that aerobes were poised to do so. Although the taxa involved in the consumption of supplemental organic compounds remain unresolved, it is highly likely that some of these aerobes were not methanotrophs. Propionate is not known to be utilized by methanotrophs (Dedysh et al., 2005; Trotsenko & Murrell, 2008), suggesting that propionate affected methanotrophs mainly by toxicity. Millimolar concentrations of organic acids (up to 3.5 mM) temporally occur in pore water of the investigated fen (Küsel et al., 2008). Similar concentrations of acetate, propionate and ethanol decreased the oxidation of CH4 (Table 1). However, the decrease in the oxidation of CH4 was minimal at lower concentrations (i.e. 0.5 mM) of organic compounds, i.e. concentrations that are typical of bulk soil pore water of the investigated fen (Knorr et al., 2008) (Table 1). Although CH4 might under most in situ conditions be a more readily available methanotrophic substrate than an alternative utilizable organic compound, the occurrence of O2 and acetate in deeper fen soil (Knorr et al., 2008; Küsel et al., 2008) indicates that methanotrophs may be periodically confronted with alternative utilizable organic compounds that could support their aerobic growth. Thus, it is likely that the oxidation of CH4 in the Schlöppnerbrunnen fen is affected locally and temporally by organic compounds derived from root exudation and fermentation, and resolving the quantitative in situ importance of these organic compounds on ecosystem CH4 fluxes is a topic that warrants additional study. Acknowledgements We thank K.-H. Knorr, coordinator for the field site at the Schlöppnerbrunnen fen, for permission to obtain soil samples and M.A. Horn for constructive discussion. 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Any queries (other than missing material) should be directed to the corresponding author for the article. 2011 Federation of European Microbiological Societies Published by Blackwell Publishing Ltd. All rights reserved c
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