Advertisement
Research Article

The Methanol Dehydrogenase Gene, mxaF, as a Functional and Phylogenetic Marker for Proteobacterial Methanotrophs in Natural Environments

  • Evan Lau mail,

    evanlau28@gmail.com

    Affiliations: Department of Natural Sciences and Mathematics, West Liberty University, West Liberty, West Virginia, United States of America, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America

    X
  • Meredith C. Fisher,

    Affiliation: Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America

    X
  • Paul A. Steudler,

    Affiliation: The Ecosystems Center, Marine Biological Laboratory, Woods Hole, Massachusetts, United States of America

    X
  • Colleen M. Cavanaugh

    Affiliation: Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America

    X
  • Published: February 22, 2013
  • DOI: 10.1371/journal.pone.0056993

Abstract

The mxaF gene, coding for the large (α) subunit of methanol dehydrogenase, is highly conserved among distantly related methylotrophic species in the Alpha-, Beta- and Gammaproteobacteria. It is ubiquitous in methanotrophs, in contrast to other methanotroph-specific genes such as the pmoA and mmoX genes, which are absent in some methanotrophic proteobacterial genera. This study examined the potential for using the mxaF gene as a functional and phylogenetic marker for methanotrophs. mxaF and 16S rRNA gene phylogenies were constructed based on over 100 database sequences of known proteobacterial methanotrophs and other methylotrophs to assess their evolutionary histories. Topology tests revealed that mxaF and 16S rDNA genes of methanotrophs do not show congruent evolutionary histories, with incongruencies in methanotrophic taxa in the Methylococcaceae, Methylocystaceae, and Beijerinckiacea. However, known methanotrophs generally formed coherent clades based on mxaF gene sequences, allowing for phylogenetic discrimination of major taxa. This feature highlights the mxaF gene’s usefulness as a biomarker in studying the molecular diversity of proteobacterial methanotrophs in nature. To verify this, PCR-directed assays targeting this gene were used to detect novel methanotrophs from diverse environments including soil, peatland, hydrothermal vent mussel tissues, and methanotroph isolates. The placement of the majority of environmental mxaF gene sequences in distinct methanotroph-specific clades (Methylocystaceae and Methylococcaceae) detected in this study supports the use of mxaF as a biomarker for methanotrophic proteobacteria.

Introduction

Atmospheric methane contributes to ~20% of the total radiative forcing by long-lived greenhouse gases globally. Due to the relatively short lifetime of atmospheric methane (~9 yrs) compared to CO2, reductions in atmospheric methane flux would have an immediate impact on global warming [1]. Microbial methane oxidation is the only major biological sink of methane [2]. With the exception of members of the phylum Verrucomicrobia [3], and the yet to be cultured anaerobic methane-oxidizers (ANME) [4], [5], and denitrifying methanotrophs of the ‘NC10’ phylum, aerobic proteobacterial methanotrophs are the only currently known groups of microorganisms capable of oxidizing methane as their sole carbon source [6], [7], [8], thus reducing atmospheric methane flux.

Aerobic proteobacterial methanotrophs are unique among the larger group of methylotrophic bacteria (which are able to utilize C1 or one-carbon compounds) in that they oxidize methane to methanol, before subsequent metabolic reactions that are shared with other methylotrophs. In contrast, non-methanotrophic methylotrophs are unable to utilize methane, but can grow on other C1 compounds (e.g., methanol, methylated amines, formate, or formamide) [9], [10]. The vast majority of known aerobic methanotrophs belong to the Proteobacteria. Known exceptions include the phylum Verrucomicrobia, whose pathways for methanotrophy are still poorly understood [3], [11], [12], and enrichments of the uncultured methanotrophs such as Candidatus ‘Methylomirabilis oxyfera’ affiliated with the ‘NC10’ phylum, which appear to be incapable of oxidizing methane at low (≤8%) oxygen levels in the laboratory [7], [8], [13]. Proteobacterial methanotrophs are placed in the families Methylococcaceae in the Gammaproteobacteria, and Methylocystaceae and Beijerinckiaceae in the Alphaproteobacteria [14], [15].

The similarities in physiological characteristics, and the generally highly conserved nature of the 16S rRNA and functional gene sequences of proteobacterial methanotrophs, have enabled the use of targeted PCR primers for gene amplification to describe methanotroph diversity [15], [16]. However, the 16S rRNA gene is non-protein coding (i.e., not linked directly to methanotroph physiology), and therefore does not directly determine function. For example, it cannot be determined whether 16S rDNA environmental sequences placed close to, but outside of, known monophyletic methanotroph clades are indeed methanotrophic [17], [18]. In comparison, functional genes for enzymes found in methanotroph metabolic pathways are directly related to physiology [19]. The initial step of methane oxidation to methanol by proteobacterial methanotrophs is mediated by particulate and/or soluble methane monooxygenases (MMOs) [15], [20]. Genes in this step, such as pmoA [encoding a subunit of the particulate methane monooxygenase (pMMO)] and mmoX [encoding a subunit of the soluble methane monooxygenase (sMMO)] have been used for describing methanotroph diversity [17]. However, the pmoA gene is not present in the genera Methylocella and Methyloferula [21], [22], [23], and the mmoX gene is present only in a few strains of methanotrophs [15], [24]. Hence, the use of both pmoA and mmoX genes in PCR-based studies results in the underestimation of methanotroph diversity and suggests that an alternative is needed.

The mxaF gene was first proposed as a functional gene probe for methylotrophs by McDonald and Murrell [19]. Methane oxidation gene cluster A (mxaF) encodes the α-subunit of the enzyme methanol dehydrogenase (MDH), an enzyme containing a pyrroloquinoline quinone (PQQ) cofactor that oxidizes methanol to formaldehyde in the second step of the methane oxidation pathway, following oxidation of methane to methanol [20], [25], [26], [27], [28]. Methanol dehydrogenase is common to all methanotrophs in the Proteobacteria [15], [19], but is absent in members of the phylum Verrucomicrobia, which possess a homolog of the mxaF gene, called xoxF gene, a gene of unknown function [29], [30], [31], [32]. Sequences of the mxaF gene are highly conserved in methylotrophic species in the Alpha-, Beta- and Gammaproteobacteria, reflecting 16S rDNA phylogeny [19], [32], [33]. In studies thus far based on the mxaF gene, a limited number of representative methanotrophs (<15 taxa) have been placed in generally distinct and coherent clades separate from the other methylotrophs [15], [19], [24], [32]. These studies indicate the mxaF gene can be a useful phylogenetic marker for the classification of methanotrophs.

However, the extent to which mxaF gene sequences of all known proteobacterial methanotrophs can be placed in separate distinct phylogenetic clades has yet to be determined. This may affect its accuracy as a reliable functional biomarker and potentially lead to incorrect inferences when determining phylogenetic relationships, notably if horizontal gene transfer has occurred across these taxa. To date, no extensive phylogenetic comparisons of proteobacterial methylotroph (including methanotroph) mxaF gene sequences have been conducted. In the only study of mxaF phylogeny of the family Methylocystaceae (genera Methylosinus and Methylocystis), representative mxaF genes sequences from this family clustered within a distinct clade, but did not separate according to genus-specific subclades, suggesting that horizontal transfer of this gene may have occurred across this family. However the study did not indicate the extent of horizontal gene transfer in other proteobacterial methanotrophs, and which taxa were involved [17]. Previous studies of mxaF revealed that it is related to quinone alcohol dehydrogenases (ADHs), which utilize a variety of primary and secondary alcohols, but not methanol, as substrates [34], and that mxaF is related to xoxF [32].

Here, we examined whether the mxaF and 16S rRNA gene phylogenies of methanotrophs from the GenBank [35] database reflect congruent evolutionary histories. Though Candidatus M. oxyfera (and members of NC10 phylum) possesses an mxaF-like gene, it is placed outside of known proteobacterial mxaF gene clusters (data not shown). Candidatus M. oxyfera’s genome lacks any known PQQ-biosynthesis pathways and thus may not be able to oxidize methanol on its own [8]. Hence it was not included in our analyses.

This study addresses the following questions, (a) Does the extensive mxaF gene phylogeny discriminate between methanotrophic and other methylotrophic sequences available in genetic databases? (b) Are the mxaF and16S rRNA gene phylogenies congruent for methanotrophs in the families Methylocystaceae, Methylococcaceae, and Beijerinkiaceae? (c) Can we tell whether mxaF genes retrieved from the environment belong to methanotrophs or methylotrophs? These questions are addressed using phylogenetic analyses involving sequences from published databases, as well as mxaF sequences obtained in this study from surveys of diverse environments (forest soils, peat and Sphagnum moss, and symbiont-hosting mussel gills) and from methanotroph cultures. Overall, these analyses advance the study of methanotroph diversity by showing that the mxaF gene consistently places methanotroph sequences in resolved phylogenetic clusters for all known members of the families Methylocystaceae and Methylococcaceae, and has the potential to elucidate the roles methanotrophs play in natural environments.

Materials and Methods

Cultures

Two mxaF gene sequences were determined in this study for cultured species of the Methylococcaceae, Methylomonas rubra and Methylobacter luteus, provided by J. Semrau and R. Knowles, respectively. Positive control cultures used in this study included two members of the Methylocystaceae and a member of the Methylococcaceae for which mxaF gene sequences are already available: Methylosinus trichosporium OB3b, Methylocystis parvus OBBP, Methylomicrobium album BG8, respectively.

Collections and Site Descriptions

Samples for DNA extraction or bacterial isolation were collected from four distinct habitats for DNA extraction or bacterial isolation: (a) Four soil samples, weighing ~15 g, from the organic horizon of long-term nitrogen-amended and control pine and hardwood forest soils of the Harvard Forest Long-Term Ecological Research (LTER) site, previously shown to oxidize methane at atmospheric levels, in Petersham, Massachusetts (42°30′N, 72°10′W) in 2004 [18], [36], (b) Sphagnum recurvum moss and peat from Crystal Bog (Vilas county, Wisconsin), a 7 ha poor fen enclosing a 2.5 m deep, 0.54 ha, dystrophic lake on the North Temperate Lakes LTER site in 2005 (46°00′30″N 89°36′30″W) [37], (c) two species of methanotroph-hosting mussels (n = 3 per site) from the Mid-Atlantic Ridge (MAR) deep-sea vent sites sampled in 2003 using DSV Alvin: Bathymodiolus azoricus from Lucky Strike (LS; 37°17′N, 32°16′W; 1693 m deep) and Rainbow (RB; 36°13′N, 33°54′W, 2300 m deep), and Bathymodiolus puteoserpentis from Logatchev (LO; 14°45′N, 44°58′W; 3027 m deep) [38], [39], and (d) the Halls Brook Holding Area (HBHA), an artificial lake in the Aberjona Watershed, sampled in 2004, near Boston, MA, which becomes stratified during the summer months, whereby the bottom depths become anoxic [40]. No specific permissions were required for collecting samples in these locations because samples did not involve endangered or protected species, Harvard Forest is owned by Harvard University and permission is granted to research employees, and Crystal Bog and Halls Brook Holding Area are located on public land.

Methanotroph Isolation, DNA Extraction, and Purification

Methanotrophic HBHA isolate 1 and HBHA isolate 2 were isolated from water collected at the oxic-anoxic interface at HBHA (~1 m depth) using sterile Tygon® tubing connected to a peristaltic pump, and injected into sterile flasks containing Nitrate Mineral Salts (NMS) minimal medium [41], under 90:10 air:methane headspace, and incubated with shaking at room temperature. Both isolates failed to grow in the absence of methane and oxygen. Purified DNA from methanotroph cultures was obtained using the Wizard® Genomic DNA Purification Kit (Promega Inc.). DNA from endosymbiont-containing mussel gill tissue and forest soils was obtained as previously described [18], [38]. DNA was extracted from HBHA isolates, peat and Sphagnum moss following the method as previously described [18].

Primer Design, PCR Amplification, Cloning, and Sequencing

Methylotroph mxaF-specific PCR primers F1003 and R1561 ( [33]; Table 1) sequences were verified through BLAST [42] to determine their specificity to proteobacterial methanotrophs in the GenBank [35] database, and used to amplify partial mxaF gene sequences from soils, peat, Sphagnum moss, methanotrophic HBHA isolates 1 and 2, and control methanotroph cultures. The amplified region encompasses three amino acid residues (out of eight) in the MDH active sites – Asn-261, Asp-303 and Arg-331– based on the amino acid sequence of Methylobacterium extorquens MDH [26]. BLAST searches of the primer pair F1003 and R1561 retrieved only proteobacterial mxaF genes, but not that of Candidatus ‘Methylomirabilis oxyfera.’

thumbnail

Table 1. PCR Primers sets used in this study.

doi:10.1371/journal.pone.0056993.t001

Additionally, degenerate primers F1003degen and R1561degen (Table 1) were created after comparing amino acid sequences of MDH retrieved from the GenBank database and identifying degenerate base positions where more than one nucleotide codon specified the same amino acid residue. The degenerate primers were used to PCR amplify mxaF genes from DNA extracts of mussel tissues, as primers F1003 and R1561 failed to PCR amplify mxaF genes from the same DNA extracts. The same primers were also used to PCR amplify mxaF genes from Sphagnum moss in order to verify these primers also PCR amplify mxaF sequences outside of the Methylococcaceae. All PCR reaction mixtures contained 1× PCR buffer (Qiagen Inc.), 2.5 mM MgCl2, 300 mM final concentration of each dNTP, a 1.0 µM final concentration of each primer, 1.0 U of Taq polymerase, and approximately 300–800 ng of template DNA in a final volume of 25 µl. PCR conditions were: denaturation at 94°C for 45 sec, primer annealing at 60°C for 1 min, extension at 72°C for 1.5 min for 30 cycles, and a final 10 min extension at 72°C. PCR products of the expected size (~550 bp for mxaF gene) were purified, cloned, and sequenced (>3 clones per sample).

Cloning and Sequencing

PCR products of the expected size (~550 bp for mxaF) were purified (QIAquick PCR Purification Kit, Qiagen Inc.), cloned (pCR®2.1-TOPO vector from the TOPO TA Cloning Kit, Invitrogen Corp.) using chemical method on TOP 10 competent cells, and plated on LB agar plates containing 50 µg ml−1 kanamycin, and 40 mg ml−1 X-Gal (5-bromo-4-chloro-3-indolyl-β-D-Galactop​yranoside).Colonies were screened for inserts using the respective primers via PCR. Plasmid DNA was isolated from positive clones using the QIAprepâ Spin MiniPrep Kit (Qiagen Inc.). Sequencing reactions were performed using the ABI PRISM® Big Dye Terminator Cycle Sequencing kit (version 3.1, Applied Biosystems®) and an ABI model 3100 automated sequencer (Applied Biosystems®) according to the manufacturer’s instructions. Recombinants were sequenced in both directions using M13 forward and reverse primers. For environmental DNA extracts, at least five clones were sequenced from each PCR reaction. For Bathymodiolus mussels, three clones each were sequenced from frozen gill tissue of three B. azoricus mussels from LS, three B. azoricus mussels from RB, and three B. puteoserpentis mussels from LO, for a total of 27 sequences.

Phylogenetic Analyses of Methylotrophic Bacterial Sequences from GenBank Database

The ADH gene and/or 16S rRNA gene sequences of Solibacter usitatus Ellin 6076 (GenBank Accession no. NC_008536/CP000473, Phylum Acidobacteria) were used as outgroup in all phylogenetic analyses. mxaF gene sequences were aligned using ClustalW2 (http://www.ebi.ac.uk/Tools/msa/clustalw2​/) and manually inspected in MacClade 4.08 (Sinauer Associates Inc., Sunderland, MA). Phylogenetic reconstruction was implemented using PAUP 4.0B10 [43] and Geneious 4.85 (http://www.geneious.com/) with PAUP plug-in. Unless stated otherwise, statistical support for all trees were obtained from 1,000 bootstrap replicates under the same initial settings (only bootstrap values >50% are reported). Pairwise base comparisons of mxaF nucleotide sequences within and between phylogenetic groups were determined using ClustalW2 and reported as % identity values.

(a) Congruency tests between mxaF and 16S rRNA gene tree topologies.

The program Modeltest [44] was used to determine the bestfit substitution model under Maximum Likelihood (ML) analysis (from PAUP software) for each dataset, and searched heuristically for the best model of nucleic acid sequence evolution that best fits our data. The topology of the best tree from ML analyses of each dataset was saved and then enforced as a topological constraint during subsequent paired ML phylogenetic analyses for each dataset. One-tailed Templeton and Shimodaira-Hasegawa (SH) tests were used to compare the constrained and unconstrained topologies using reestimated log likelihoods (RELL) simulation [45], [46] and full optimization distributions using 10,000 bootstrap replicates under the likelihood tree scores menu. Uncorrected and Bonferroni-corrected P-values were reported for one-tailed Templeton and SH tests [45]. Confidence intervals were determined for the null hypotheses: the unconstrained and constrained ML tree of each dataset tested have significantly different likelihood scores. The data consisted of nineteen methanotroph taxa spanning three families (Methylocystaceae, Beijerinckiaceae, and Methylococcaceae) and one outgroup for which both genes were available: (a) seven members of the Methylocystaceae – Methylosinus trichosporium BF1, M. trichosporium O19/1, M. trichosporium KS21, Methylosinus sporium F10/1b, Methylocystis echinoides IMET10491, Methylocystis sp. IMET10489, and Methylocystis sp. IMET10484, (b) four members of the methanotrophic Beijerinckiaceae – Methylocella silvestris, M. tundra, M. palustris, and Methylocapsa acidiphila, and (c) eight members of the Methylococcaceae – Methylococcus capsulatus Bath, Methylocaldum sp. E10a, Methylomonas methanica, M. album, M. rubra, Methylobacter luteus, Methylobacter sp. 5FB, and Methylomicrobium sp. For the Methylococcaceae, there are insufficient mxaF sequences in GenBank, hence the mxaF of Methylomicrobium album str. BG8 (GenBank Accession no. L33682) was matched to the 16S rRNA gene sequence of Methylomicrobium sp. (GenBank Accession no. D89279). Separate ML phylogenetic analyses were conducted on three datasets: (a) mxaF gene sequences (~513 bp) of these methanotrophs, (b) the corresponding 16S rRNA gene sequences (~1471 bp) of the same taxa and (c) the concatenated mxaF and 16S rRNA gene sequences (~1984 bp).

(b) Phylogenetic analyses of cultured methanotrophs and other related methylotrophs.

Maximum parsimony (MP) phylogenies of known methylotrophs (including methanotrophs), and related xoxF PQQ-linked dehydrogenase genes, which have recently been described [32] and were included to verify their phylogenetic placement relative to mxaF genes, were constructed based on nucleotide and on inferred amino acid sequences (n = 145) available in Genbank [35]. Alignments for mxaF nucleotide sequences included sequences with and without third nucleotide positions. Phylogenetic analyses (MP) implemented included alignments for mxaF nucleotide sequences with and without third nucleotides to assess third codon position bias) and inferred mxaF amino acid sequences (513, 342, and 171 characters, respectively) for 145 taxa. The resulting tree was obtained via random stepwise addition of sequences, as consensus of 9 saved, most parsimonious trees, obtained from a heuristic search.

Phylogenetic Analyses of Environmental mxaF Gene Sequences

All environmental mxaF nucleotide sequences detected in this study were verified through BLAST searches, and mxaF nucleotide sequences of their closest relatives (identified through BLAST searches) were included in the assembly. The final alignments for mxaF nucleotide sequences, mxaF sequences without third nucleotides and inferred mxaF amino acid sequences comprised 513, 342, and 171 characters, respectively, for 85 taxa. Maximum parsimony (MP) methods (implemented as described above) were used to generate phylogenetic trees from the nucleotide alignments. The resulting tree was obtained as consensus of 4 saved, most parsimonious trees obtained from a heuristic search, with random stepwise addition of sequences.

Nucleotide Sequence Accession Numbers

The mxaF gene nucleotide and inferred amino acid sequences of Methylomonas rubra and Methylobacter luteus, HBHA isolates 1 and 2, and uncultured clones have been deposited in GenBank, under accession numbers JX312966-JX313018.

Results

Congruency Tests

Congruency tests showed that the mxaF and 16S rRNA genes of representative methanotroph species do not share congruent tree topologies. Topology tests failed to reject the null hypothesis that mxaF and 16S rRNA gene trees, when each was constrained to match the topology of the other gene, have significantly different likelihood scores. The SH test examines the topology, but does not indicate specific nodes or taxa causing incongruence [47]. Trees for mxaF gene, 16S rRNA gene, and combined mxaF+16S rRNA genes were observed to be incongruent, with incongruencies for representative taxa from the Methylocystaceae and Methylococcaceae, and the methanotrophic Beijerinckiaceae (Fig. 1).

thumbnail

Figure 1. Congruency tests between mxaF and 16S rRNA gene nucleotide sequences of methanotrophs from GenBank database.

Phylogenetic trees for congruency tests based on maximum likelihood (ML) analysis of mxaF (~513 bp) and 16S rRNA gene nucleotide sequences (~1471 bp) from methanotrophs in GenBank, including the mxaF nucleotide sequences of Methylomonas rubra and Methylobacter luteus sequenced in this study. The ADH gene of Solibacter usitatus Ellin 6076 was used as outgroup. Methanotrophs (in the Methylococcaceae, Methylocystaceae and Beijerinckiaceae) are indicated by shaded clusters. Accession numbers of mxaF and 16S rRNA gene sequences downloaded from GenBank are indicated in parentheses. Bootstrap values from 1,000 replicates are indicated at the nodes of branches (if >50). The scale bar represents the number of nucleotide changes.

doi:10.1371/journal.pone.0056993.g001

mxaF Gene Phylogeny

The simplified mxaF gene tree (based on all codon positions) for known proteobacterial methylotrophs is shown in Fig. 2. Trees resulting from analyses of 1st and 2nd codon positions and inferred mxaF amino acid sequences of methylotrophs were identical in branching order of major taxa (not shown). Figure 2 indicates five distinct clusters of methylotrophs: (a) cluster 1 encompassing the Methylocystaceae, (b) cluster 2 containing mostly methylotrophic Methylobacterium sp. and methanotrophic Beijerinckiaceae (Methylocapsa and Methylocella), (c) cluster 3 containing mostly Hyphomicrobium sp., (d) cluster 4 consisting solely of the monophyletic family Methylococcaceae, including sequences obtained in this study for the cultured members Methylomonas rubra and Methylobacter luteus, and (e) cluster 5 containing betaproteobacterial methylotroph genera. In addition, a well-supported monophyletic cluster 6 falls outside of other mxaF clusters and consists of xoxF gene sequences, which are distantly related to methylotroph mxaF sequences [32]. The list of taxa comprising the non-methanotrophic methylotrophs and xoxF/xoxF-like clusters in Fig. 2 is shown in Table 2. The complete tree with all taxa (n = 145) is shown in Supplement S1.

thumbnail

Figure 2. Simplified phylogenetic tree of methanotrophs and their close relatives based on mxaF nucleotide sequences from GenBank database.

Unrooted phylogenetic tree based on maximum parsimony (MP) analysis of known proteobacterial partial mxaF and xoxF/xoxF-like nucleotide sequences (~513 bp) from GenBank and the mxaF nucleotide sequences (in bold) of Methylomonas rubra and Methylobacter luteus sequenced in this study. The ADH gene of Solibacter usitatus Ellin 6076 was used as outgroup. Accession numbers of sequences downloaded from GenBank are indicated in parentheses. Bootstrap values from 1,000 replicates are indicated at the nodes of branches (if >50). The three bacterial families containing methanotrophs (Methylococcaceae, Methylocystaceae and methanotrophic members of the Beijerinckiaceae) are indicated by shaded clusters and the other alphaproteobacterial and betaproteobacterial methylotrophs are delineated by lines. The identity of mxaF and mxaF-like sequences from the “Methylobacterium cluster (within cluster 2)”, “Mainly Hyphomicrobium (Cluster 3)”, “β-proteobacterial methylotrophs (Cluster 5)”, and “xoxF/xoxF-like genes” is shown in Table 2. The scale bar represents the number of nucleotide changes. The complete phylogenetic tree of methanotrophs and their close relatives based on mxaF nucleotide sequences is shown in Supplement S1.

doi:10.1371/journal.pone.0056993.g002
thumbnail

Table 2. Taxa included (but not shown) in the phylogenetic analyses for Fig. 2.

doi:10.1371/journal.pone.0056993.t002

Cluster 1 includes all members of the Methylocystaceae, forming two separate sub-clusters. Both sub-clusters are polyphyletic for the two genera Methylosinus and Methylocystis. The methanotrophic Beijerinckiaceae (genera Methylocapsa, Methylocella and Methyloferula) are placed polyphyletically within cluster 2 with other methylotrophs (Fig. 2). There is a lack of distinction in the placement of species of methanotrophic Beijerinckiaceae in cluster 2: Methylocapsa is most closely related to the non-methanotrophic genus Acidomonas [48], while the close relatives Methylocella palustris strain K and Methylocella tundrae cluster with the methylotrophic Methylorosula polaris, gen. nov. Yu-22 and V-22 [49], Methylocella silvestris clusters with the non-methanotrophs, Beijerinckia mobilis DSM 2326, and Methyloferula stellata clusters with the methylotrophic Methylovirgula ligni strains BW863 and BW872 [50]. Based on the mxaF gene tree (Fig. 2), the alphaproteobacterial groups – the Methylocystaceae (cluster 1), alphaproteobacterial methylotrophs including the methanotrophic Beijerinckiaceae (clusters 2 and 3) – are more closely related to one another than to betaproteobacterial methylotrophs (cluster 5) and gammaproteobacterial methanotrophs (cluster 4). This pattern is also reflected in the 16S rDNA phylogeny.

Pairwise nucleotide sequence variations within the families Methylocystaceae and Methylococcaceae and between methanotrophic Beijerinckiaceae were ≥87%, ≥75%, and ≥78%, respectively. In contrast, the xoxF cluster shared ≤69% identity with all mxaF genes, and Solibacter usitatus Ellin 6076 ADH (outgroup) shared ≤55% identity with all mxaF genes.

Phylogenetic Analyses of PCR-amplified Environmental mxaF Gene Sequences

All inferred amino acid sequences translated from mxaF genes amplified in this study possessed the three amino acid residues involved in the interactions of the active site. MP phylogenetic trees based on all nucleotides, 1st and 2nd codon positions, and mxaF amino acid sequences were identical in topology; the tree based on all three nucleotides is shown in Fig. 3. Of the mxaF clones amplified from Harvard Forest soils (labeled P_C, P_F, and H_F), one was placed in the Methylocystaceae and five were placed in the Methylococcaceae, with the remaining three (P_F#1;#2;#3;#6;#10, P_F#4, and P_F#5) closely related to environmental clones detected in other soils. Three sequences detected in Sphagnum moss (labeled Sphag, Fig. 3) clustered with the methylotroph Methylorhabdus multivorans, although this clade lacked bootstrap support. Of the four sequences detected in peat (labeled Peat) in the northern WI bog, one (Peat#4) clustered with mxaF sequences from clones detected in acidic forest and acidic peatland soils, and one was most close-related to Methylocapsa acidiphila str. BL2, isolated from acidic peat in Siberia [51]. Both of the lake isolates were placed in the Methylococcaceae, with HBHA isolate 1 most closely related to Methylomonas rubra and HBHA isolate 2 related to Methylobacter tundripaludum SV96 and clone LW-mxaF-33 (Fig. 3).

thumbnail

Figure 3. Phylogenetic tree of environmental mxaF gene sequences detected in this study.

Phylogenetic tree based on MP analyses of environmental partial mxaF nucleotide sequences (~513 bp) detected in this study (in bold) in comparison with their close relatives, with Solibacter usitatus Ellin6076 as outgroup. All mxaF sequences were obtained using primer pair F1003 and R1561, except for the 13 putative symbiont mxaF genes from Bathymodiolus azoricus and B. puteoserpentis, which were obtained using primer pair F1003degen and R1561degen. Accession numbers of sequences downloaded from GenBank are indicated in parentheses. Bootstrap values from 1,000 replicates are indicated at the nodes of branches (if >50). Clone sequences are labeled P_C, pine soil (control); P_F, pine soil (fertilized); H_F, hardwood soil (fertilized); Sphag, Sphagnum moss; HBHA, Halls Brook Holding Area; RB, Rainbow; LS, Lucky Strike; LO, Logatchev, followed by clone number (#).Methanotrophs found in the three bacterial families (Methylococcaceae, Methylcystaceae and Beijerinckiaceae) are shaded. Bootstrap values from 1,000 replicates are indicated at the nodes of branches (if >50). The scale bar represents the number of nucleotide changes.

doi:10.1371/journal.pone.0056993.g003

For the bathymodiolid mussels, three clones per gill were sequenced from a total of nine individuals (three per site) representing two host species: B. azoricus [at Lucky Strike (LS) and Rainbow (RB) vent sites] and B. puteoserpentis (at Logatchev (LO) vent site] (27 total clones sequenced). Seven unique sequences were detected among the 18 B. azoricus clones, and five unique sequences were detected among 9 B. puteoserpentis clones. Of the 7 unique sequences detected in B. azoricus, 2 were from RB vent site, 4 were from LS vent site, and one was from both RB and LS sites (Fig. 3). These 12 unique sequences vary from one another at up to 27 synonymous nucleotide positions (coding for the same amino acid residues) and 6 nonsynonymous nucleotide positions (coding for different amino acid residues) (see Supplement S1 for details). These mxaF gene sequences, which possessed all three amino acid residues involved in the active site of the enzyme, were amplified from all of the mussel specimens. In congruence with 16S rRNA gene phylogenies for the methanotrophic Bathymodiolus endosymbionts, the mussel mxaF sequences clustered within the Methylococacceae. The tight clustering of these mxaF sequences of two different Bathymodiolus species from sites >2600 km apart, argues that these were amplified from the symbionts. Thus, we refer to the origin of the sequences as “putative” symbiont mxaF sequences. Most mussels (except B. azoricus LS13, B. azoricus LS17, and B. puteoserpentis LO12) possessed more than one unique mxaF sequence. While we cannot exclude the possibility of PCR error as the cause of sequence variance, mussel-derived mxaF sequences formed two closely related but independent monophyletic clades, separated according to host species, with the B. azoricus cluster from LS+RB sharing ≥99% nucleotide identity and the cluster from B. puteoserpentis (at LO) sharing ≥98% nucleotide identity. Nucleotide identity between sequences from both clusters is 95–96%. All 12 unique putative endosymbiont mxaF gene sequences are most closely related (87–88% nucleotide identity) to a free-living methanotrophic bacterium, SF-BR, isolated from San Francisco Bay, CA [52] (Fig. 3). When nucleotide variations were compared with the inferred amino acid residues, 9 of the mxaF gene sequences varied from one another at up to 27 synonymous sites and coded for the same inferred amino acid sequence. The remaining 3 sequences LS27#1, LS28#2, and RB10#1, possessed the 20 or more synonymous sites identical with sequences from RB and LS, but possessed, additionally, 1–3 nonsynonymous changes, coding for up to 3 other unique amino acid sequences (see Supplement S1). Our analysis of mxaF genes suggests that the putative endosymbionts of B. azoricus and B. puteoserpentis arose from a single free-living ancestor in the Methylococcaceae. Calculated Ka/Ks (ratio of rate of nonsynonymous substitutions to synonymous substitutions) values for all Bathymodiolid putative endosymbionts, all free-living members of Methylococcaceae and between all putative Bathymodiolid endosymbionts compared to members of Methylococcaceae, averaged 2.0×10−2, and did not differ significantly among these groups (P>0.05, unpaired one-tailed t-test+ANOVA) (data not shown). These uniformly low Ka/Ks values among all members of the Methylococcaceae (whether putatively symbiotic or free-living) indicate that most nucleotide substitutions are synonymous (see Supplement S1). If random errors in nucleotide incorporation during PCR had occurred, calculated Ka/Ks values for mxaF genes of the putative endosymbionts would likely have been significantly higher (i.e., approaching 1).

Discussion

Establishing the link between microbial phylogeny and physiology is complicated by the high level of physiological diversity in most microbial taxa (e.g., many microbes utilizing several carbon sources), and the potential for horizontal gene transfers – the movement of microbial genes between divergent genomes. Consequently, it is necessary to evaluate the accuracy of candidate functional genes as a diagnostic of key metabolic processes, as well as being accurate markers of evolutionary history. Doing so requires evaluating the result of phylogenetic reconstruction of gene sequences from all cultured organisms possessing the gene, before analyses of sequences from uncultured environmental clones. Methanotrophs are unique due to their preference for methane as a metabolic substrate and their possession of functional genes involved in this process. Here, we investigated the phylogeny, based on the mxaF gene, of all known proteobacterial methanotrophs from GenBank database and highlighted the mxaF gene’s ability to detect most methanotrophic bacteria and describe their molecular diversity in natural environments.

mxaF and 16S rRNA Gene Phylogenies

In this study, the topological differences between 16S rRNA and mxaF gene trees, as seen in incongruencies between both trees (Fig. 1), suggest multiple occurrences of horizontal gene transfer in the mxaF genes of many methanotrophic taxa in the Methylococcaceae, Methylocystaceae, and Beijerinckiacea. Phylogenetic analyses based on mxaF genes placed the vast majority of cultivated proteobacterial methanotrophs, excluding members of the genera Methylocapsa, Methylocella, and Methyloferula, in distinct and coherent clades representing the Methylococcaceae and Methylocystaceae, with higher nucleotide identity between taxa within these clades than between members of different clades. These family-level clade distinctions are consistent with patterns evident in the 16S rDNA phylogeny. However, below the family level, mxaF-based analyses failed to differentiate between distinct subclades based on genera.

The mxaF gene has poor resolving power for methanotrophs within the Beijerinckiaceae. Our mxaF gene tree (Fig. 2) indicates that these methanotrophs, composed of the genera Methylocapsa, Methylocella, and Methyloferula, are polyphyletic, sharing common ancestry with other alphaproteobacterial methylotrophs. This pattern corroborates previous studies, which assessed fewer methylotroph taxa [23], [49], [53], and showed different topologies between mxaF and 16S rRNA genes, for example, in the genus Methylocella [22], [50], [53]. The more extensive mxaF gene phylogeny inferred here (compared to previous studies) suggests that methanotrophy (a) arose once in the Beijerinckiaceae and was lost by some methylotrophic taxa, (b) arose separately in more than one taxon in the Beijerinckiaceae, and/or (c) multiple occurrences of horizontal gene transfers have occurred in the common ancestor of methanotrophic Beijerinckiaceae. It therefore is difficult to ascertain whether microorganisms with mxaF gene sequences placed near the polyphyletic Beijerinckiaceae genera Methylocapsa, Methylocella, and Methyloferula are indeed methanotrophic.

Overall, our data suggest that the partial mxaF gene (~550 bp) amplified by the primer set mentioned is a useful phylogenetic marker and provides sufficient resolution to broadly discriminate between known proteobacterial methanotroph families via the Methylococcaceae and Methylocystaceae clusters, which together encompass the vast majority of known methanotrophs. However, it has poor resolution at the sub-family level across the Methylococcaceae (not shown in previous studies) and Methylocystaceae, and ambiguities exist between the methanotrophic Beijerinckiaceae and other methylotrophs in the Alphaproteobacteria, due possibly to horizontal transfers of the mxaF gene.

mxaF Sequences from Diverse Environments, Isolates and Endosymbiotic Methanotrophs

The mxaF gene was used here to examine the phylogenetic placement and diversity of over fifty novel sequences of putative methanotrophs from a range of natural environments and from cultured isolates in light of evolutionary information from the mxaF gene phylogeny determined above. The mxaF datasets from Harvard Forest soil, peat and Sphagnum moss from northern Wisconsin, and the HBHA water column contained diverse sequences that clustered primarily in the Methylococcaceae and Methylocystaceae, as well as sequences related to methanotrophic Beijerinckiaceae and other alphaproteobacterial methylotrophs. Notably, the sample of Sphagnum moss contained three sequences (Sphag#1, Sphag#2, and Sphag#3), suggestive of three strains, most closely related to the methylotroph Methylorhabdus multivorans. However, these three sequences are also closely related to the methanotrophic Beijerinckiaceae genus Methylocella (Fig. 3). Given the uncertainty with which mxaF discriminates between methanotrophic Beijerinckiaceae and certain alphaproteobacterial methylotrophs discussed above, the sequences detected in peat, forest soils and Sphagnum moss could represent methanotrophic bacteria.

Our analyses also provide the first insights into the phylogenetic placement and biogeography of the previously unknown mxaF genes from putative methanotrophic endosymbionts of deep-sea hydrothermal vent Bathymodiolid mussels. Bathymodiolus azoricus and B. puteoserpentis are the dominant species of mussels within the two spatially separate mussel hybrid zones of Lucky Strike and Rainbow, and Logatchev on the Mid-Atlantic Ridge [54]. Here, dual bacterial endosymbionts provide nutrition to the mussel hosts through thiotrophy and methanotrophy, but the mode of methanotrophic symbiont transmission, whether vertical (symbionts are passed from parent to offspring) or horizontal (symbionts are taken up from the environment, or from co-occurring hosts) is not known [38], [39], [55], [56]. Here, we show that these novel mxaF gene sequences of putative endosymbiotic methanotrophs belong to the Methylococcaceae, in agreement with their placement in the Gammaproteobacteria with other methanotrophs based on 16S rDNA phylogeny [6]. B. azoricus mussels at the adjacent Lucky Strike and Rainbow vent sites harbored closely related putative methanotrophic symbionts, with most mussels possessing a heterogeneous population of putative endosymbionts, based on the closely-related but unique mxaF gene sequences we detected. This result is consistent with the hypothesis of environmental acquisition of mussel symbionts [38], [55], [57], [58], where each mussel may be expected to contain multiple genetic variants.

In contrast, B. puteoserpentis mussels at Logatchev, a vent site over 2600 km away, harbored a separate monophyletic group of closely related putative methanotrophic symbionts. The phylogenetic clustering of B. azoricus and B. puteoserpentis symbionts in two distinct clades suggests either taxon-specific differences in the specificity of the symbiont-host relationship (i.e., each host species associates with a unique symbiont strain) or that B. azoricus mussels at Lucky Strike and Rainbow acquire putative symbionts from an environmental pool that is genetically distinct from that available to B. puteoserpentis mussels at Logatchev vent site. Our phylogenetic analyses of mxaF gene sequences indicate that the putative endosymbiotic methanotrophs have diverged from an ancestral sequence into two monophyletic groups, either in response to host-symbiont co-speciation or to geographic separation. Indeed, the fragmented distribution of deep-sea hydrothermal vents may promote spatial isolation that acts as a barrier to symbiont dispersal [59]. With more information, the extent to which symbiont diversification is driven by either geographic isolation and symbiont-host specificity and co-evolution, can be assessed.

Proteobacterial methanotrophs currently constitute the vast majority of known aerobic methane oxidizing bacteria. In this study, we demonstrate the usefulness of the mxaF gene in studying proteobacterial methanotroph diversity in non-anoxic environments. Studying the evolutionary history of this gene from known methanotrophs extensively may provide insights into the placement of novel taxa detected in different environments and avoid incorrect inferences from their phylogenetic placement. Our results indicate the mxaF gene can be a functional and phylogenetic marker for proteobacterial methanotrophs, providing more information about an important group of microorganisms involved in the global biogeochemical methane cycle.

Supporting Information

Supplement S1.

doi:10.1371/journal.pone.0056993.s001

(DOCX)

Acknowledgments

We thank J. Semrau and R. Knowles for providing the methanotroph cultures, M. rubra and M. luteus, respectively, G. King, J. Poindexter, C. Murrell for providing methanotroph reference and control cultures, P. Dunfield for providing DNA of M. silvestris BL2 and M. acidophila B2, S. Jones for collecting peat soil and Sphagnum moss samples, A. Chan for assistance in collecting Harvard Forest soils samples, E. DeChaine for DNA extraction from B. azoricus and B. puteoserpentis, A. Ahmad for providing the protocol for cleaning community DNA, C. Linnen for assistance with tests of congruency, J. Nolan, S. Cohen, M. Ruvolo, and F. Stewart for assistance with phylogenetic and statistical analyses, and F. Stewart, K. Fontanez, L. Chistoserdova, K. Scott, and T. Auchtung for helpful information and for reading and commenting on the manuscript.

Author Contributions

Conceived and designed the experiments: EL MCF. Performed the experiments: EL MCF. Analyzed the data: EL MCF PAS CMC. Contributed reagents/materials/analysis tools: EL MCF PAS CMC. Wrote the paper: EL MCF PAS CMC.

References

  1. 1. Dlugokencky EJ, Nisbet EG, Fisher R, Lowry D (2011) Global atmospheric methane: budget, changes and dangers. Phil Trans R Soc A 369: 2058–2072. doi: 10.1098/rsta.2010.0341
  2. 2. Reeburgh WS (2007) Oceanic methane biogeochemistry. Chem Rev 107: 486–513. doi: 10.1021/cr050362v
  3. 3. Op den Camp HJM, Islam T, Stott MB, Harhangi HR, Hynes A, et al. (2009) Environmental, genomic and taxonomic perspectives on methanotrophic Verrucomicrobia. Environ Microbiol Reports 1: 293–306. doi: 10.1111/j.1758-2229.2009.00022.x
  4. 4. Knittel K, Boetius A (2009) The anaerobic oxidation of methane - progress with an unknown process. Ann Rev Microbiol 63: 311–34. doi: 10.1146/annurev.micro.61.080706.093130
  5. 5. Nauhaus K, Albrecht M, Elvert M, Boetius A, Widdel F (2007) In vitro cell growth of marine archaeal-bacterial consortia during anaerobic oxidation of methane with sulfate. Environ Microbiol 9: 187–196. doi: 10.1111/j.1462-2920.2006.01127.x
  6. 6. Conrad R (1996) Soil microorganisms as controllers of atmospheric trace gases H2, CO, CH4, OCS, N2O, and NO. Microbiol Rev. 60: 609–640.
  7. 7. Ettwig KF, Butler MK, Le Paslier D, Pelletier E, Mangenot S, et al. (2010) Nitrite-driven anaerobic methane oxidation by oxygenic bacteria. Nature 464: 543–548. doi: 10.1038/nature08883
  8. 8. Wu ML, Ettwig KF, Jetten MS, Strous M, Keltjens JT, et al. (2011) A new intra-aerobic metabolism in the nitrite-dependent anaerobic methane-oxidizing bacterium Candidatus ‘Methylomirabilis oxyfera’. Biochem Soc Tran 39: 243–8. doi: 10.1042/bst0390243
  9. 9. Chistoserdova L, Kalyuzhnaya MG, Lidstrom ME (2009) The expanding world of methylotrophic metabolism. Ann Rev Microbiol 63: 477–499. doi: 10.1146/annurev.micro.091208.073600
  10. 10. Lidstrom ME (2006) Aerobic methylotrophic procaryotes. In The Prokaryotes, ed. Balows A, Truper HG, Dworkin M, Harder W, Schleifer K-H, 618–34. New York: Springer-Verlag.
  11. 11. Dunfield PF, Yuryev A, Senin P, Smirnova AV, Stott MB, et al. (2007) Methane oxidation by an extremely acidophilic bacterium of the phylum Verrucomicrobia. Nature 450: 879–882. doi: 10.1038/nature06411
  12. 12. Hou,S, Makarova KS, Saw JHW, Senin P, Ly BV, et al. (2008) Complete genome sequence of the extremely acidophilic methanotroph isolate V4, Methylacidiphilum infernorum, a representative of the bacterial phylum Verrucomicrobia. Biol Direct 3: 26. doi: 10.1186/1745-6150-3-26
  13. 13. Lueskan FA, Wu ML, Op den Camp HJM, Keltjens JT, Stunnenberg H, et al. (2012) Effect of oxygen on the anaerobic methanotroph ‘Candidatus Methylomirabilis oxyfera’: kinetic and transcriptional analysis. Environ Microbiol 14: 1024–1034. doi: 10.1111/j.1462-2920.2011.02682.x
  14. 14. Kersters K, De Vos P, Gilis M, Swings J, Vandamme P, et al.. (2006) Introduction to the Proteobacteria. In: Dworkin SFM, Rosenberg E, Schleifer, K-H, Stackebrandt E., eds (2006) The Prokaryotes. New York, Springer-Verlag. 3–37.
  15. 15. McDonald IR, Bodrossy L, Chen Y, Murrell JC (2008) Molecular ecology techniques for the study of aerobic methanotrophs. Appl Environ Microbiol 74: 1305–1315. doi: 10.1128/aem.02233-07
  16. 16. Gulledge JA, Ahmad A, Steudler PA, Pomerantz WJ, Cavanaugh CM (2001) Family- and genus-level 16S rRNA-targeted oligonucleotide probes for ecological studies of methanotrophic bacteria. Appl Environ Microbiol 76: 4726–4733. doi: 10.1128/aem.67.10.4726-4733.2001
  17. 17. Heyer J, Galchenko VF, Dunfield PF (2002) Molecular phylogeny of type II methane-oxidizing bacteria isolated from various environments. Microbiol 148: 2831–2846.
  18. 18. Lau E, Ahmad A, Steudler PA, Cavanaugh CM (2007) Molecular characterization of methanotrophic communities in forest soils that consume atmospheric methane. FEMS Microbiol Ecol 60: 128–138. doi: 10.1111/j.1574-6941.2007.00308.x
  19. 19. McDonald IR, Murrell JC (1997) The methanol dehydrogenase structural gene mxaF and its use as a functional gene probe for methanotrophs and methylotrophs. Appl Environ Microbiol 638: 3218–3224.
  20. 20. Hanson RS, Hanson TE (1996) Methanotrophic bacteria. Microbiol Rev. 60: 439–471.
  21. 21. Chen Y, Crombie A, Rahman MT, Dedysh SN, Liesack W, et al. (2010) Complete genome sequence of the aerobic facultative methanotroph Methylocella silvestris BL2. J Bacteriol 192: 3840–3841. doi: 10.1128/jb.00506-10
  22. 22. Dedysh SN (2011) Cultivating uncultured bacteria from northern wetlands: knowledge gained and remaining gaps. Frontiers Microbiol 2: 1–15. doi: 10.3389/fmicb.2011.00184
  23. 23. Vorobev AV, Baani M, Doronina NV, Brady AL, Liesack W, et al. (2011) Methyloferula stellata gen. nov., sp. nov., an acidophilic, obligately methanotrophic bacterium that possesses only a soluble methane monooxygenase. Int J System Evol Microbiol 61: 2456–2463. doi: 10.1099/ijs.0.028118-0
  24. 24. Auman AJ, Stolyar S, Costello AM, Lidstrom ME (2000) Molecular characterization of methanotrophic isolates from freshwater lake sediment. Appl Environ Microbiol 66: 5259–5266. doi: 10.1128/aem.66.12.5259-5266.2000
  25. 25. Anthony C (2000) Methanol dehydrogenase, a PQQ-containing quinoprotein dehydrogenase. Subcell Chem 35: 73–117. doi: 10.1007/0-306-46828-x_3
  26. 26. Anthony C (2004) The quinoprotein dehydrogenases for methanol and glucose. Arch Biochem Biophys 428: 2–9. doi: 10.1016/j.abb.2004.03.038
  27. 27. Lidstrom ME, Anthony C, Biville F, Gasser F, Goodwin P, Hanson RS, Harms N (1994) New unified nomenclature for genes involved in the oxidation of methanol in gram-negative bacteria. FEMS Microbiol Lett. 117: 103–106. doi: 10.1111/j.1574-6968.1994.tb06749.x
  28. 28. Zhang M., Lidstrom ME 2003. Promoters and transcripts for genes involved in methanol oxidation in Methylobacterium extorquens AM1. Microbiol 149: 1033–1040. doi: 10.1099/mic.0.26105-0
  29. 29. Chistoserdova L (2011) Modularity of methylotrophy, revisited. Environ Microbiol 13: 2603–2622. doi: 10.1111/j.1462-2920.2011.02464.x
  30. 30. Schmidt S, Christen P, Kiefer P, Vorholt JA (2010) Functional investigation of methanol dehydrogenase-like protein XoxF in Methylobacterium extorquens AM1. Microbiol 156: 2575–2586. doi: 10.1099/mic.0.038570-0
  31. 31. Vuilleumier S, Chistoserdova L, Lee M-C, Bringel F, Lajus A, et al. (2009) Methylobacterium genome sequences: A reference blueprint to investigate microbial metabolism of C1 compounds from natural and industrial sources. PLOS ONE 4: e5584. doi: 10.1371/journal.pone.0005584
  32. 32. Kalyuzhnaya MG, Hristova KR, Lidstrom ME, Chistoserdova L (2008) Characterization of a novel methanol dehydrogenase in representatives of Burkholderiales: implications for environmental detection of methylotrophy and evidence for convergent evolution. J Bacteriol 190: 3817–3823. doi: 10.1128/jb.00180-08
  33. 33. McDonald IR, Kenna EM, Murrell JC (1995) Detection of methanotrophic bacteria in environmental samples with the PCR. Appl Environ Microbiol 61: 116–121.
  34. 34. Keitel T, Diehl A, Knaute T, Stezowski JJ, Höhne W, Görisch H (2000) X-ray structure of the quinoprotein ethanol dehydrogenase from Pseudomonas aeruginosa: basis of substrate specificity. J Mol Biol 297: 961–973. doi: 10.1006/jmbi.2000.3603
  35. 35. Benson DA, Karsch-Mizrachi I, Lipman DJ, Ostell J, Sayers EW (2010) GenBank. Nuc Acid Res. 38: D46–D51. doi: 10.1093/nar/gkp1024
  36. 36. Gulledge JA, Hrywna Y, Cavanaugh CM, Steudler PA (2004) Effects of long-term nitrogen fertilization on the uptake kinetics of atmospheric methane in temperate forest soils. FEMS Microbiol Ecol 49: 389–400. doi: 10.1016/j.femsec.2004.04.013
  37. 37. Marin LE, Kratz TK, Bowser CJ (1990) Spatial and temporal patterns in the hydrogeobiochemistry of a poor fen in northern Wisconsin. Biogeochem 11: 63–76. doi: 10.1007/bf00000852
  38. 38. DeChaine EG, Bates A, Shank TM, Cavanaugh CM (2006) Off-axis symbiosis found: characterization and biogeography of bacterial symbionts of Bathymodiolus mussels from Lost City hydrothermal vents. Environ Microbiol 811: 1902–1912. doi: 10.1111/j.1462-2920.2005.01113.x
  39. 39. Duperron S, Bergin C, Zielinski F, Blazejak A, Pernthaler A, et al. (2006) A dual symbiosis shared by two mussel species, Bathymodiolus azoricus and Bathymodiolus puteoserpentis (Bivalvia: Mytilidae), from hydrothermal vents along the northern Mid-Atlantic Ridge. Environ Microbiol 8: 1441–1447. doi: 10.1111/j.1462-2920.2006.01038.x
  40. 40. Wick LY, Gschwend PM (1998) Source and chemodynamic behavior of diphenyl sulfone and ortho- and para-hydroxybiphenyl in a small lake receiving discharges from an adjacent Superfund site. Environ Sci Technol 32: 1319–1328. doi: 10.1021/es970544+
  41. 41. Whittenbury R, Phillips KC, Wilkinson JF (1970) Enrichment, isolation, and some properties of methane-utilizing bacteria. J Gen Microbiol 59: 2771–2776. doi: 10.1099/00221287-61-2-205
  42. 42. Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ (1990) Basic local alignment search tool. J Mol Biol 215: 403–410. doi: 10.1016/s0022-2836(05)80360-2
  43. 43. Swofford DL (2002) PAUP*. Phylogenetic Analysis Using Parsimony (*and Other Methods), version 4.0.b10. Sinauer Associates, Sunderland, MA.
  44. 44. Posada D, Crandall KA (1998) MODELTEST: testing the model of DNA substitution. Bioinformatics Applications Note 149: 817–818. doi: 10.1093/bioinformatics/14.9.817
  45. 45. Buckley TR, Arensburger P, Simon C, Chambers GK (2002) Combined data, Bayesian phylogenetics, and the origin of the New Zealand cicada genera. Syst Biol 51: 4–18.
  46. 46. Hipp AL, Hall JC, Sytsma KJ (2004) Congruence versus phylogenetic accuracy: revisiting the incongruence length difference test. Syst Biol 53: 81–89.
  47. 47. Struck TH, Purschke G, Halanych KM (2006) Phylogeny of Eunicida (Annelida) and exploring data congruence using a partition addition bootstrap alteration (PABA) approach. Syst Biol 551: 1–20.
  48. 48. Suzuki R, Lisdiyanti P, Komagata K, Uchimura T (2009) MxaF gene, a gene encoding alpha subunit of methanol dehydrogenase in and false growth of acetic acid bacteria on methanol. J Gen Appl Microbiol 55: 101–110. doi: 10.2323/jgam.55.101
  49. 49. Berestovskaya JJ, Kotsyurbenko OR, Tourova TP, Kolganova TV, Doronina NV, et al. (2012) Methylorosula polaris gen. nov., sp. nov., a new aerobic, facultatively methylotrophic psychrotolerant bacterium from tundra wetland soil. Int J Syst Evol Microbiol 62: 638–646. doi: 10.1099/ijs.0.007005-0
  50. 50. Vorobev AV, de Boer W, Folman LB, Bodelier PLE, Doronina NV, et al. (2009) Methylovirgula ligni gen. nov., sp. nov., an obligately acidophilic, facultatively methylotrophic bacterium with a highly divergent mxaF gene. Int J Syst Evol Microbiol 59: 2538–2545. doi: 10.1099/ijs.0.010074-0
  51. 51. Dedysh SN, Khmelenina VN, Suzina NE, Trotsenko YA, Semrau JD, et al. (2002) Methylocapsa acidiphila gen. nov., sp. nov., a novel methane-oxidizing and dinitrogen-fixing acidophilic bacterium from Sphagnum bog. Int J Syst Evol Microbiol 52: 251–261.
  52. 52. Fuse H, Ohta M, Takimura O, Murakami K, Inoue H, et al. (1998) Oxidation of trichloroethylene and dimethyl sulfide by a marine Methylomicrobium strain containing soluble methane monooxygenase. Biosci Biotechnol Biochem 62: 1925–1931. doi: 10.1271/bbb.62.1925
  53. 53. Dedysh SN, Smirnova KV, Khmelenina VN, Suzina NE, Liesack, et al (2005) Methylotrophic Autotrophy in Beijerinckia mobilis. J Bacteriol 18711: 3884–3888. doi: 10.1128/jb.187.11.3884-3888.2005
  54. 54. O’Mullan GD, Maas PAY, Lutz RA, Vrijenhoek RC (2001) A hybrid zone between hydrothermal vent mussels (Bivalvia: Mytilidae) from the Mid-Atlantic Ridge. Mol Ecol 10: 2819–2831. doi: 10.1046/j.1365-294x.2001.t01-1-01401.x
  55. 55. Petersen JM, Dubilier N (2009) Methanotrophic symbioses in marine invertebrates. Environ Microbiol Reports 1: 319–335. doi: 10.1111/j.1758-2229.2009.00081.x
  56. 56. Stewart FJ, Newton ILG, Cavanaugh CM (2005) Chemosynthetic endosymbioses: adaptations to oxic–anoxic interfaces. Trends Microbiol 13: 439–448. doi: 10.1016/j.tim.2005.07.007
  57. 57. Won Y-J, Hallam SJ, O’Mullan GD, Pan IL, Buck KR, et al. 2003. Environmental acquisition of thiotrophic endosymbionts by deep-sea mussels of the Genus Bathymodiolus.. Appl Environ Microbiol 69: 6785–6792. doi: 10.1128/aem.69.11.6785-6792.2003
  58. 58. Won Y-J, Jones W, Vrijenhoek RC (2008) Absence of co-speciation between deep-sea mytilids and their thiotrophic endosymbionts. J Shellfish Res 27: 129–138. doi: 10.2983/0730-8000(2008)27[129:aocbdm]2.0.co;2
  59. 59. Van Dover CL, German CR, Speer KG, Parson LM, Vrijenhoek RC (2002) Evolution and biogeography of deep-sea vent and seep invertebrates. Mar. Biol Science 295: 1253–1257. doi: 10.1126/science.1067361