Current understanding of the diversity, biology, and ecology of Archaea is very limited, especially considering how few of the known phyla have been cultured or genomically explored. The reconstruction of “Ca. Methanomixophus” MAGs not only expands the known range of metabolic versatility of the members of Archaeoglobi but also suggests that the phylogenetic distribution of MCR and MTR complexes is even wider than previously anticipated.
KEYWORDS: horizontal gene transfer, HGT, metatranscriptomics, methyl-coenzyme M reductase complex, MCR complex, oil reservoir, methanogens
ABSTRACT
Euryarchaeal lineages have been believed to have a methanogenic last common ancestor. However, members of euryarchaeal Archaeoglobi have long been considered nonmethanogenic and their evolutionary history remains elusive. Here, three high-quality metagenomic-assembled genomes (MAGs) retrieved from high-temperature oil reservoir and hot springs, together with three newly assembled Archaeoglobi MAGs from previously reported hot spring metagenomes, are demonstrated to represent a novel genus of Archaeoglobaceae, “Candidatus Methanomixophus.” All “Ca. Methanomixophus” MAGs encode an M methyltransferase (MTR) complex and a traditional type of methyl-coenzyme M reductase (MCR) complex, which is different from the divergent MCR complexes found in “Ca. Polytropus marinifundus.” In addition, “Ca. Methanomixophus dualitatem” MAGs preserve the genomic capacity for dissimilatory sulfate reduction. Comparative phylogenetic analysis supports a laterally transferred origin for an MCR complex and vertical heritage of the MTR complex in this lineage. Metatranscriptomic analysis revealed concomitant in situ activity of hydrogen-dependent methylotrophic methanogenesis and heterotrophic fermentation within populations of “Ca. Methanomixophus hydrogenotrophicum” in a high-temperature oil reservoir.
IMPORTANCE Current understanding of the diversity, biology, and ecology of Archaea is very limited, especially considering how few of the known phyla have been cultured or genomically explored. The reconstruction of “Ca. Methanomixophus” MAGs not only expands the known range of metabolic versatility of the members of Archaeoglobi but also suggests that the phylogenetic distribution of MCR and MTR complexes is even wider than previously anticipated.
INTRODUCTION
Methanogenic lifestyles were originally inferred to be restricted to a few “traditional” Euryarchaeota that were distributed within seven orders, including Methanopyrales, Methanococcales, Methanobacteriales, Methanosarcinales, Methanocellales, Methanomicrobiales, and Methanomassiliicoccales (1, 2). The recent discovery of Methanonatronarchaeia, a novel extreme halophilic methanogen which branches basally to Haloarchaea, provides new insights into the evolutionary transition from an anaerobic and methanogenic ancestor to haloarchaeal lineages (3, 4). In addition, culture-independent approaches revealed a growing number of archaeal groups outside the Euryarchaeota (“Ca. Bathyarchaeota,” “Ca. Verstraetearchaeota,” and “Ca. Helarchaeota”) whose genomes contain the key genes for methanogenesis (5–9), suggesting the the evolutionary origin of methanogenesis predates the Euryarchaeota.
As key enzymes in archaeal methane cycling, methyl-coenzyme M reductase (MCR) complexes can be divided into two main clusters, with one cluster being composed of MCR complexes from traditional euryarchaeal lineages and “Ca. Verstraetearchaeota.” MCR complexes in this cluster catalyze the final step of methanogenesis or the initial step in anaerobic methane oxidation (1). On the other hand, the MCR homologs found in “Ca. Bathyarchaeota” formed another deep divergent branch, together with a newly found MCR complex which catalyzed short-chain alkane (butane and, probably, propane) in a euryarchaeal lineage, “Ca. Syntrophoarchaeum” (10). The close association of MCR complexes and the shared metabolic features of the “Ca. Bathyarchaeota” and “Ca. Syntrophoarchaeum” suggest that the MCR complex in “Ca. Bathyarchaeota” may catalyze short-chain hydrocarbon oxidation rather than methane production (10).
Despite being phylogenetically close to methanogenic Euryarchaeota, members of Archaeoglobi have long been considered nonmethanogenic archaea (11, 12). Genes conserved in both hydrogenotrophic methanogenesis and archaeal type Wood-Ljungdahl (WL) pathway are present in Archaeoglobi genomes, suggesting the remnants of its ancestral methane-cycling lifestyle (13). For a long time, however, genes encoding methyl coenzyme M reductase complex (MCR) and a complete N 5-methyl-H4M(S)PT:coenzyme M methyltransferase (MTR) complex had not been found in representatives of Archaeoglobi, which are hypothesized to have been lost during evolution after receiving dsrAB genes from the bacterial members via horizontal gene transfer (HGT) (13, 14). The MTR complex, encoded by the mtr operon, catalyzes the energy-conserving (sodium-pumping) methyl transfer from H4M(S)PT to CoM (15), which is one of the key enzymes in hydrogenotrophic methanogenesis (16). Recently, Boyd et al. found two divergent MCR complexes in a metagenome-assembled genome (MAG) representing a basal member of the class Archaeoglobi, “Ca. Polytropus marinifundus,” which could utilize nitrate, iron, and sulfur compounds as electron acceptors (17). However, genes coding for MTR complex were largely missing in “Ca. Polytropus marinifundus” except for mtrH, ruling out the possibility of conserving energy from hydrogenotrophic methanogenesis (17). Further analysis revealed that the two divergent MCRs were most likely received from “Ca. Syntrophoarchaeum” and “Ca. Bathyarchaeota” via HGT, which suggests their potential role in hydrocarbon activation (17). Hence, data explaining what the lowest common ancestor (LCA) of Archaeoglobi looks like and how the evolution transition occurs is still elusive.
Here, we assembled three Archaeoglobi MAGs and collected another three newly assembled Archaeoglobi MAGs from a previous study (7). All these MAGs were retrieved from samples from subsurface hydrothermal environments, such as hot springs and oil reservoir, indicating an anoxic and thermophilic life style of this new lineage. The comparative genomic analysis of these six MAGs expanded the current knowledge about the evolution trend of Archaeoglobi members (17).
RESULTS AND DISCUSSION
Discovery of a novel Archaeoglobaceae genus, “Ca. Methanomixophus.”
In a previous study, microbial biomass from formation waters was collected from the Jiangsu oil reservoir (18). The combined metagenomes were coassembled, and the resulting contigs were binned into 44 unique genomes (18). As revealed by the genome tree, one of the high-quality MAGs (Bin16) was phylogenetically placed into the Archaeoglobi clade (Fig. 1). However, the annotation of Bin16 demonstrated a distinct genotype of Archaeoglobus species. Surprisingly, nearly the whole set of genes associated with reversible hydrogenotrophic methanogenesis was found in Bin16, including a methyl–coenzyme M reductase (McrABG) complex (Fig. 1) and a methyl-H4M(S)PT:coenzyme M methyltransferase complex (MtrABCDEFGH) (Fig. 1; see also Table S4 in the supplemental material). Further phylogenetic analysis based on the concatenated amino acid alignment of McrABG placed Bin16 close to the traditional McrABGs rather than to the divergent cluster (Fig. 2C). In order to study the distribution of the new Archaeoglobi members in nature, the mcrA gene in Bin16 was used to screen metagenomes in IMG publicly available (for details, see Text S1 in the supplemental material), and the closely related mcrA genes were detected in two thermal aquatic metagenomes: an in situ cellulolytic enrichment in Great Boiling Spring (Integrated Microbial Genomes identifier [IMG-ID]: 3300000106, NV, USA) (19) and a water sample from Washburn Spring (IMG-ID: 3300005860, Yellowstone National Park, USA). These metagenomes were individually assembled and differentially binned, and then two additional Archaeoglobi MAGs, Bin11 and Bin74, were retrieved from metagenomes of Great Boiling Spring (IMG-ID: 3300000106, NV, USA) and Washburn Spring (IMG-ID: 3300005860, Yellowstone National Park, USA), respectively. Similarly to Bin16, Bin11 and Bin74 also contained MCR and MTR complexes. The completeness, contamination (redundancy), and number of total contigs meet the requirements for being ranked as nearly complete genomes as proposed previously by Parks et al. (20) and as high-quality draft genomes as proposed by Bowers et al. (21) (Table 1). Subsequently, examination of the contigs containing methanogenesis-related genes in these MAGs revealed that they have sequence composition characteristics (average GC content, sequencing coverage, and tetranucleotide frequencies) typical of their respective genomes (see Fig. S1 at https://figshare.com/articles/Fig_S1_Evaluation_of_the_statistical_properties_of_scaffolds_of_Ca_M_hydrogenus_Bin16_a_Bin11_b_and_Bin74_c_/9918200). To make a comprehensive study of Archaeoglobi MAGs, three newly assembled Archaeoglobi MAGs (LMO1, LMO2, and LMO3), which also contained MCR and MTR complexes homologous to those of Bin16 (Fig. 1; see also Fig. 2A and C), were downloaded from the NCBI database and included into this study (7).
FIG 1.
Phylogenomic tree showing the placement of “Ca. Methanomixophus” and the distribution of studied genes. The tree was inferred from the concatenation of 400 conserved marker genes using PhyloPhlAn (65), and only lineages containing MCR complex-bearing genomes for gene distribution are exhibited, whereas the lineages without MCR complex detected so far are outlined with dashed lines. Colored and blank squares represent the presence and absence of annotated genes, respectively. Genes associated with nitrate reduction and sulfate reduction are marked in brown and red, respectively; genes for iron reduction are marked in dark blue; genes involved in methanogenesis are marked in light blue; genes for beta-oxidation are marked in pink; genes associated with biosynthesis are marked in green. A functional complex consisting of multiple subunits was considered present if ≥75% of the genes comprising the complex were detected. Branches that represent “Ca. Methanomixophus” are marked in red, and the clade that represents “Ca. Polytropus marinifundus” is marked in blue. Abbreviations are as follows: nar, nitrate reductase/nitrite oxidoreductase; nap, periplasmic nitrate reductase; nir, nitrite reductase (NO-forming); nor, nitric oxide reductase; sat, sulfate adenylyltransferase; apr, adenylylsulfate reductase; dsr, dissimilatory sulfite reductase; qmo, quinone-modifying oxidoreductase; dsrMKJOP, membrane-bound heterodisulfide reductase; fwd, formylmethanofuran dehydrogenase; ftr, formylmethanofuran–tetrahydromethanopterin N-formyltransferase; mer, 5,10-methylenetetrahydromethanopterin reductase; mtd, methylenetetrahydromethanopterin dehydrogenase; mch, methenyltetrahydromethanopterin cyclohydrolase; mcr, methyl-coenzyme M reductase alpha subunit; mtr, methyl-H4M(S)PT:coenzyme M methyltransferase; fae, 5,6,7,8-tetrahydromethanopterin hydrolyase; acs, acetyl-CoA synthetase (EC 6.2.1.1); pka, phosphate acetyltransferase; ack, acetate kinase; acd, acetate-CoA ligase (ADP-forming) (EC 6.2.1.13); cdh, acetyl-CoA decarbonylase/synthase; mta, methanol-5-hydroxybenzimidazolylcobamide comethyltransferase; mtm, methylamine-corrinoid protein comethyltransferase; mtb, dimethylamine-corrinoid protein comethyltransferase; mtt, trimethylamine-corrinoid protein comethyltransferas; mts, methylthiol:coenzyme M methyltransferase; mvh, F420-nonreducing hydrogenase; hdr, heterodisulfide reductase; fqo, NADH-quinone-oxidoreductase; frh, coenzyme F420 hydrogenase; eha/ehb/ehc, energy-converting hydrogenase A/B/C; rnf, Na+-translocating ferredoxin:NAD+ oxidoreductase; fadD, long-chain acyl-CoA synthetase; acox/fadE/acd/bcd, acyl-ACP dehydrogenase; paaF/crt/fadJ/fadB/ech, enoyl-CoA hydratase; fadJ/fadB/fadN/ech/paaH, 3-hydroxyacyl-CoA dehydrogenase; MCH, multiheme c-type cytochromes; fadA, acetyl-CoA acyltransferase; atoB, acetyl-CoA C-acetyltransferase; Mnq, genes for biosynthesis of the menaquinone; Mpt, genes for biosynthesis of the methanophenazine.
FIG 2.
Comparison of the topologies of the concatenated MtrABCDEH gene tree (A) and genome tree (B) and the McrABG gene tree (C). The genome tree was constructed based on 3,075 aligned positions and included only genomes that contain MCR or MCR-like complexes (Table S2). McrABG and MtrABCDEH gene trees were constructed based on the alignments performed with 1,226 and 1,384 amino acid positions, respectively. Branches of the trees were collapsed as wedges and labeled according to the lowest common ancestor (LCA) of all sequences in the lineage. Genes from the same genome/lineage were linked to the corresponding branches in the genome tree. The topologies of the current trees were confirmed with previous studies (14, 15) and were supported by high bootstrap values. The mcr operon arrangements were determined by checking all available genomes affiliated with corresponding lineages in GenBank database. “Ca. Methanomixophus” is marked in red, and “Ca. Polytropus marinifundus” is marked in blue.
TABLE 1.
Summary statistics of new “Ca. Methanomixophus” MAGs
| MAG | Completeness (%) |
Redundancy (%) |
No. of contigs |
Total length (bp) |
GC content (%) |
No. of CDS |
No. of RNAs |
Relative abundance (%)a |
Relative activity (%)a |
RAST-ID or reference |
|---|---|---|---|---|---|---|---|---|---|---|
| Bin16 | 96.5 | 1.3 | 45 | 1,661,519 | 45.5 | 1,834 | 46 | 1.51 | 0.06 | 6666666.39 |
| Bin11 | 94.6 | 1.6 | 133 | 1,403,156 | 47.6 | 1,389 | 31 | 0.35 | 6666666.23 | |
| Bin74 | 96.1 | 1.3 | 126 | 1,532,438 | 45.6 | 1,895 | 39 | 0.27 | 6666666.39 | |
| LMO1 | 88.89 | 1.31 | 140 | 1,557,307 | 43.8 | 1,851 | 46 | 7 | ||
| LMO2 | 88.03 | 1.96 | 220 | 1,514,415 | 45.9 | 1,900 | 45 | 7 | ||
| LMO3 | 97.6 | 0 | 135 | 1,567,523 | 43.9 | 1,872 | 37 | 7 |
Data were calculated by mapping quality-controlled metagenome/metatranscriptome short reads to the MAG nucleotide files using Bowtie2 (69) and were filtered for MapQ values of >2.
Phylogenetic analysis of taxonomic markers from Bin16, Bin11, Bin74, and LMO1 to LMO3 placed their position close to the Archaeoglobus fulgidus lineage, forming two separate clusters (Fig. 1; see also Table S8). These MAGs shared 71% to 74% of orthologous genes with the A. fulgidus genome (see Fig. S2 at https://figshare.com/articles/Fig_S2_Pairwise_comparison_of_shared_orthologous_gene_sequences_across_genomes_of_Archaeoglobi_isolates_and_Ca_Methanomixophus_MAGs_/9918206), and the average amino acid identities (AAI) between these MAGs and other Archaeoglobus proteomes were found to be below 65% (see Fig. S2 at https://figshare.com/articles/Fig_S2_Pairwise_comparison_of_shared_orthologous_gene_sequences_across_genomes_of_Archaeoglobi_isolates_and_Ca_Methanomixophus_MAGs_/9918206), hinting at a novel Archaeoglobaceae genus according to the category thresholds proposed by Konstantinidis et al. (22). The proposal for a novel genus was supported by analyses performed with the GTDBtk tool (https://github.com/Ecogenomics/GTDBTk), which uses a recently described relative evolutionary distance metric to predict the divergence of newly binned clades (23) (Table S5). The 16S rRNA gene fragments found in Bin11 (370 bp), Bin74 (918 bp), LMO1 (1,213 bp), and LMO3 (356 bp) showed 92% to 93% similarity to A. fulgidus DSM 4304 (GenBank accession number AE000782.1), which also suggested a novel genus-level lineage of Archaeoglobaceae for this clade (24). Phylogenetic analysis of these 16S rRNA gene sequences placed them into a monophyletic cluster with other uncultured Archaeoglobus clone sequences from similar environments from which these MAGs have been retrieved, such as oil reservoirs (GenBank accession numbers GU179414, KY707708, and JN794070) and hot springs (GenBank accession numbers EU924223 and KP784730); however, the results also showed that they were distantly related to A. fulgidus sequence clusters (Fig. 3). Consistent with the genome tree, 16S rRNA gene sequences from Bin11 and Bin74 were placed into a cluster separate from that containing LMO1 and LMO3 (Fig. 3). On the basis of these results, we proposed the name “Ca. Methanomixophus hydrogenotrophicum” gen. nov., sp. nov., for Bin11, Bin16, Bin74, and LMO2, in which “Methano” stands for methane, “mixo” means mixotrophy, and “hydrogenotrophicum” indicates the potential capability of utilizing hydrogen molecules in this lineage, and the “Ca. Methanomixophus dualitatem” sp. nov. for LMO1 and LMO3, in which “dualitatem” indicates the uncertain energy conservation strategy utilized in this lineage, considering that the genomic capacities of both anaerobic methane metabolism and dissimilatory sulfur metabolism were preserved (see below).
FIG 3.
Consensus tree showing the placement of the 16S rRNA genes. “Ca. Methanomixophus” 16S rRNA gene sequences are marked in red, and the “Ca. Polytropus marinifundus” 16S rRNA gene sequence is marked in blue. The cluster contains “Ca. Methanomixophus hydrogenotrophicum” and “Ca. Methanomixophus dualitatem” sequences and is shaded in cyan and pink, respectively.
Evolutionary history of “Ca. Methanomixophus” MCR complex and MTR complex.
An operon (mtrABCDEFGH) consisting of genes that encode the complete methyl-H4M(S)PT:coenzyme M methyltransferase complex was found in all “Ca. Methanomixophus” MAGs (Fig. 1; see also Table S4). The blastp search revealed that these mtrABCDEFGH genes were predominantly associated with methanogens at 38% to 71% amino acid identity (Fig. 4A), while genes located upstream and downstream in the same contigs were found to be mostly related to Archaeoglobi species with average amino acid identity of 63% (Fig. 4A). Metagenomic short reads were mapped to these contigs, and the well-overlapped alignments confirmed the assembly (Fig. 4B). Furthermore, the assembly of the contig in “Ca. Methanomixophus hydrogenotrophicum” Bin16 was checked by PCR amplifications using DNA of W2 and W9 production water samples from the Jiangsu oil reservoir (18), and the amplicon sequences matched 99% to 100% to the partial mtrH gene and multiple genes located downstream in the contig (Fig. 4C; see Text S2). The emergence of colocated genes homologous to distinct microorganisms could be a result of HGT or, as suggested, a remnant character of the LCA before gene losses. To explore the evolutionary history of the MTR complex, the gene phylogeny of the MTR complex was compared with the genome phylogeny. To get a finer phylogenetic resolution of MCR and MTR complex, concatenated amino acid alignments of subunits for the same enzyme were chosen instead of individual protein sequence since these subunits were constitutive conserved in all MCR/MTR-bearing genomes and located in the same operon (25). Consistently, the genome tree and the mtrABCDEH gene tree both resulted in a monophyletic clade of “Ca. Methanomixophus,” and the branching order of “Ca. Methanomixophus” clade in mtrABCDEH gene tree is congruent with the genome tree, which branches off between Class I (Methanopyrales, Methanococcales and Methanobacteriales) and Class II (Methanomicrobia, comprised of Methanosarcinales, Methanocellales and Methanomicrobiales) methanogens (13) with strong bootstrap supports (Fig. 2A and B). No potential mobile genetic elements (such as integrons, transposons, repeat sequences and tRNAs), which are hallmarks for HGT, could be identified in the flanking regions of mtr genes (Fig. 4A; see also Table S6). Further analysis of GC content and 4mer frequencies of these mtr operons also showed consistent profiles with the surrounding gene context in the contigs (see Fig. S3 at https://figshare.com/articles/Fig_S3_Comparison_of_tetranucleotide_frequencies_and_GC_content_between_MCR_MTR_operons_and_surrounding_gene_context_in_the_scaffolds_/9918209), suggesting that either these mtr operons are inherited vertically or the acquirement of this operon through HGT did not occur in recent evolutionary history (17). These evidence collectively suggests a vertical inheritance of evolutionary history for “Ca. Methanomixophus” MTR.
FIG 4.
Unique gene organization in contigs from “Ca. Methanomixophus” MAGs. (A) Contigs containing genes most closely related to methanogens and members of the family Archaeoglobaceae from “Ca. Methanomixophus” MAGs. Annotated genes that have analogs in other contigs are shown with color coding. Percentages of amino acid identity between loci were calculated using blastp (E value < 1e−10) and are presented in grayscale. (B) Quality-filtered metagenomic short reads overlapped the contigs in the red box well, which confirms the assembly of Bin16. Black lines with arrows indicate amplicon products obtained using mtrH-FAD primer set 2. (C) Amplification of a gel band using mtrH-FAD primer set 2 confirmed the assembly of gene fusion from methanogens and members of the family Archaeoglobaceae. The primer information is listed in Table S3.
Genes (mcrABG) encoding all subunits of methyl-coenzyme M reductase complex, where ligand-binding sites for CoB, CoM, and cofactor F430 are well conserved (see Fig. S4 at https://figshare.com/articles/Fig_S4_Conservation_of_functionally_important_McrA_residues_including_ligand_cavity_sites_and_F420_CoB_and_CoM_binding_sites_as_revealed_by_Ermler_et_al_21_/9918236), was found in these MAGs. As revealed by structure prediction, the McrA, McrB, and McrG within these genomes showed high similarity to the crystal structures from Methanopyrus kandleri. (see Fig. S5 at https://figshare.com/articles/Fig_S5_Structural_modelling_and_active_sites_of_the_MCR_complex_in_Ca_M_Bin16_/9918233). BLASTP search results demonstrated that the mcrABG genes in these MAGs are most similar to genes in “Ca. Methanodesulfokores washburnensis” (77% to 83% amino acid identity), which is a newly assembled MAG affiliated with the Korarchaeota phylum (26). Phylogenetic analysis of the concatenated McrABG sequences also placed them with “Ca. Methanodesulfokores washburnensis” (denoted “Korarchaeota” in Fig. 2C), forming a basal branch to euryarchaeal lineages (Fig. 2C), which is incongruent with the genome tree (Fig. 2B). However, it should be noted that despite the largely congruent branching order in the MCR tree and genome tree for most members, incongruent positions were also observed for some traditional methanogens in this study (Fig. 2B and C) and in several other studies (16, 17). Further analysis revealed that the mcr operons in this lineage contain two extra genes, mcrC and mcrD, with unknown function (27). This arrangement of mcrBDCGA in an operon resembles the mcr operons in most conventional euryarchaeal methanogens and “Ca. Methanodesulfokores washburnensis,” rather than the arrangement of mcrBGA in “Ca. Verstraetearchaeota” (6) or the divergent type mcrBAG in some “Ca. Syntrophoarchaeum” and “Ca. Polytropus marinifundus” isolates (Fig. 2C) (17). As a result, the mcr operon in “Ca. Methanomixophus” genomes is likely to be accepted through HGT but would likely be from a donor different from “Ca. Polytropus marinifundus” (17) (Fig. 2C), despite the fact that we did not find any mobile elements or divergent GC or 4mer profiles surrounding the gene context of the MCR operons (Table S6; see also Fig. S3 at https://figshare.com/articles/Fig_S3_Comparison_of_tetranucleotide_frequencies_and_GC_content_between_MCR_MTR_operons_and_surrounding_gene_context_in_the_scaffolds_/9918209).
Metabolic potential and in situ activity of “Ca. Methanomixophus.”
In contrast to all Archaeoglobi known so far (11), including “Ca. Polytropus marinifundus,” genes encoding key enzymes associated with dissimilatory sulfate reduction, namely, the genes encoding sulfate adenylyltransferase (sat), adenylylsulfate reductase (aprAB), and dissimilatory sulfide reductase (dsrAB), are absent in “Ca. Methanomixophus hydrogenotrophicum” genomes (Fig. 1; see also Table S4). Further examination of metagenome contigs and short reads did not reveal any related sequences for these missing genes (see Text S1). To confirm that the loss of sulfate-reducing genes in these MAGs was not an artifact caused by an assembly mistake, we took the genes that have been found to locate upstream or downstream of sulfate-reducing genes in public Archaeoglobus fulgidus reference genomes (Table S2) as anchors, and the absence of genes encoding sulfate-reducing products in “Ca. Methanomixophus hydrogenotrophicum” Bin16 was validated by the presence of amplicons spanning those anchor genes and their adjacent genes (see Fig. S6 at https://figshare.com/articles/Fig_S6_Contigs_containing_sulfate-reducing_genes_in_Ca_Methanomixophus_MAGs_/9918203; see also Table S3). The only exception was the presence of DsrC, encoded by the dsrC gene, with two conserved cysteines in the C-terminal region (see Fig. S7 at https://figshare.com/articles/Fig_S7_Trimmed_alignment_of_DsrC_TsuE_AspA_amino_acid_sequences_/9918230). DsrC is a small protein functioning in the terminal step of sulfate reduction (28). However, without the dissimilatory sulfate reductase (dsrAB) gene, its role in this lineage remains unclear. In a previous study, dsrC genes were found in organisms that do not have the dsrAB genes (29) and their products were predicted to function like TusE proteins, which were shown to participate in a sulfur-relay system (30).
“Ca. Methanomixophus hydrogenotrophicum” genomes also lack genes encoding the quinone-interacting membrane-bound oxidoreductase (QmoABC) complex. The QmoABC complex was previously proposed to link the electron transfer chain to the first reductive step of sulfate reduction in Archaeoglobus (31). The absence of qmoABC genes is consistent with the absence of the aforementioned dissimilatory sulfate reduction-related genes, indicating the inability of this clade to generate ATP through sulfate reduction. Furthermore, genes for reducing other electron acceptors, such as nitrate, thiosulfate, and iron, all of which have been shown to be widely utilized by other Archaeoglobi species, were all missing in this clade (Fig. 1). Therefore, this new lineage might not gain energy through respiration (Fig. 5).
FIG 5.
Metabolic reconstruction of “Ca. Methanomixophus.” The genes used to construct this metabolic network are listed in Table S4. Pathways for methanogenesis are depicted in blue, pathways for anaerobic methane oxidation coupled with sulfate reduction are depicted in red, and other pathways are depicted in black. The sulfate reduction pathway was found only in “Ca. Methanomixophus dualitatem,” whereas other pathways were found to be conserved in all “Ca. Methanomixophus” MAGs. FPKM values are represented as red bars close to the gene names, and an average FPKM value representing the transcribed genes was used for enzymes comprising multiple subunits. Complexes without proteomic evidence are depicted with dashed lines. (See Fig. 1 legend for definitions of abbreviations.)
“Ca. Methanomixophus hydrogenotrophicum” genomes encodes a nearly complete archaeal type Wood-Ljungdahl pathway, except for the gene encoding N5,N10-methylene-H4MPT reductase (Mer) (Table S4). The methylene-tetrahydrofolate reductase (MetF), which was previously suggested to act as a substitute for Mer in the reverse process of methanogenesis (32), was also missing in all “Ca. Methanomixophus hydrogenotrophicum” genomes (Fig. 1). Given the absence of mer and metF in both genomes and unassembled metagenomic contigs, a bypass pathway for methanol-utilizing methanogenesis in which methanol is oxidized to formaldehyde and subsequently to N5,N10-methylene-H4MPT has been proposed (32, 33) (Fig. 5). The presence of genes encoding a fusion protein of formaldehyde-activating enzyme and hexulose-6-phosphate synthase (FaeB-Hps) and encoding short-chain alcohol dehydrogenases (Aldh) and CoM methyltransferase (Mta) suggested the presence of this bypass pathway in this new clade (33, 34).
“Ca. Methanomixophus hydrogenotrophicum” genomes encode an F420-nonreducing hydrogenase (MvhADG) (Fig. 1). In hydrogenotrophic methanogens, this hydrogenase forms a complex with heterodisulfide reductase (HdrABC) which bifurcates electrons from H2 to reduce ferredoxin and heterodisulfide, likely coenzyme M (CoM) and coenzyme B (CoB), in methanogens and a gamma subunit of dissimilatory sulfate reductase (DsrC) in Archaeoglobus (35, 36). Only an HdrA subunit which contains flavin adenine dinucleotide (FAD) is present in the genomes, indicating the ability to reduce ferredoxin. However, no subunit of HdrB, which catalyzes the direct reduction of disulfide, was found. Instead, the genomes contain another gene encoding HdrD, which is a fusion of HdrB and HdrC (37), suggesting that HdrD may replace HdrB in the Mvh/Hdr complex (26) (Fig. 5). Noteworthy is the fact that the lack of an HdrB subunit has also been observed in an uncultured Archaea genome (26) and a sulfate-reducing bacteria (38), hinting at an underrepresented energy-conserving mechanism within anaerobic microorganisms. However, future studies on the proteome of “Ca. Methanomixophus hydrogenus” and in vitro investigations will be required to elucidate the role of the HdrD detected here. A gene cluster encoding an F420H2:quinone oxidoreductase (Fqo) was found in this clade (Fig. 1; see also Table S4). The FqoF subunit is usually considered bound to the membrane integral module of FqoBCDI, forming the Fqo complex which oxidizes F420H2 coupled with menaquinone (MQ) reduction in Archaeoglobus (39). Nevertheless, it has been proposed that the FqoF subunit might be soluble in cytoplasm and might independently catalyze the reduction of F420 with Fdred oxidation in Archaeoglobus species (40). A similar mechanism has also been proposed for the homologous FqoF in the Methanomixophus genomes analyzed in this study, which also contain FAD and iron-sulfur clusters, that is, mediation of the electron transfer from Fdred onto F420 (Fig. 5). Furthermore, as shown in another study, the Fpo/Fqo complex is capable of catalyzing a Fd:MP/Fd:MQ oxidoreductase reaction independently of the FpoF/FqoF subunit (41) (Fig. 5). Additionally, there is also a potential of the FqoF-associated Fqo complex to link Fdred oxidation to both F420 reduction and menaquinone reduction by flavin-dependent electron bifurcation (42) (Fig. 5). In “Ca. Methanomixophus hydrogenotrophicum,” the electrons carried by menaquinone (MQ) might be then transferred through the membrane-bound heterodisulfide reductase (HdrDE) to reduce CoM-S-S-CoB (43, 44) (Fig. 5).
However, the key enzyme of hydrogenotrophic methanogenesis, F420-reducing hydrogenase, is missing in all MAGs, which rules out the possibility of hydrogenotrophic CO2-reducing methanogenesis in these organisms (1). On the other hand, the detection of methyltransferase (MtaABC) and Mvh:Hdr complex indicates a potential hydrogen-dependent methylotrophic (methanol) methanogenesis lifestyle in this clade, which is similar in mechanism to those seen with the members of Methanomassiliicoccales (43) (Fig. 5). In this case, electrons from H2 could be transferred to reduction of CoM-S-S-CoB facilitated by Fqo and Hdr complexes as mentioned above. The methyl branch of the Wood-Ljungdahl pathway and the MTR complex would function in anabolic production of acetyl coenzyme A (acetyl-CoA) from CO2 and CH3-CoM, respectively (Fig. 5).
The genomic features collectively suggest a methanogenic lifestyle for “Ca. Methanomixophus hydrogenotrophicum”; however, its potential role as an anaerobic methane oxidizer could not be ruled out. In such a case, “Ca. Methanomixophus hydrogenotrophicum” may oxidize methane anaerobically through a reversible methanogenesis pathway and would require syntrophic partners as electron sinks (45), likely the sulfate-reducing microorganisms detected in the same environments (18, 41) (Fig. 5). And the membrane-associated electron-transfer HdrDE complexes would mediate the electron flow in a reverse direction of methanogenesis (Fig. 5).
“Ca. Methanomixophus dualitatem” genomes displayed high similarity in genomic features with “Ca. Methanomixophus hydrogenotrophicum,” containing MTR, MCR, and Mvh/Hdr complexes (Fig. 1). Interestingly, the gene coding for N5,N10-methylene-H4MPT reductase (mer) was found in “Ca. Methanomixophus dualitatem” genomes, completing the WL pathway in this lineage (Fig. 5). Hence, “Ca. Methanomixophus dualitatem” may also conserve energy through hydrogenotrophic methanogenesis (Fig. 5). “Ca. Methanomixophus dualitatem” genomes possess extra genes (sat, AprAB, dsrABC, and qmoABC) for sulfate reduction, suggesting that “Ca. Methanomixophus dualitatem” members might alternatively perform sulfate-dependent anaerobic methane oxidation in single cells (45) (Fig. 5). Interestingly, a newly assembled Korarchaeota genome in “Ca. Methanodesulfokores washburnensis” carries genes that code for a partial dissimilatory sulfate reduction pathway, as well as the co-occurring genes coding for anaerobic methane oxidation, hinting at a close link between anaerobic methane metabolism and dissimilatory sulfur reduction in Archaea members (26).
In addition, genes involved in fatty acid degradation (β-oxidation) and in degradation of peptides/amino acids, d-lactate metabolism, and acetogenesis were found in all “Ca. Methanomixophus” MAGs (Fig. 5; see also Table S4) (see Text S1 for more details), which is consistent with results from the closely related Archaeoglobus species (11).
Metatranscriptomic analysis of “Ca. Methanomixophus hydrogenotrophicum” Bin16 in sample W15 obtained from the Jiangsu oil reservoir demonstrated that most genes associated with the common pathway of methanogenesis, namely, mcrABCG, mtrA-H, ftr, fwdABDEFG, mtd, and fae-hps, were transcribed to different degrees (Fig. 5; see also Table S7). Unexpectedly, the transcriptional levels of individual genes coding for the subunits of Mtr were found to be greatly uneven (Table S7). It is also noteworthy that the fragments per kilobase per million (FPKM) values of mcrABG genes were relatively low compared with those seen with other genes described here. Since these FPKM values were calculated based on the metatranscriptome data set representing a very complex microbial community, future research, likely performed on the basis of pure culture isolation, will be required to resolve these issues. Meanwhile, genes specific to methanogenesis from both methanol (mtaABC) and hydrogen (mvhADG) were transcribed (Fig. 5; see also Table S7), indicating an active hydrogen-dependent methylotrophic methanogenesis process of “Ca. Methanomixophus hydrogenotrophicum” in the oil reservoir. Transcripts of multiple genes involved in d-lactate degradation (dld) and in degradation of fatty acids and peptides were detected, as well as transcripts of those involved in degradation of acetyl-CoA synthetase (ADP-forming) (acd), aldehyde dehydrogenases (aldh), and alcohol dehydrogenases (adhP), suggesting that heterotrophic fermentation was also active in “Ca. Methanomixophus hydrogenotrophicum” Bin16 (Fig. 5).
Evolutionary origin of Archaeoglobi.
The discovery of hyperthermophilic “Ca. Methanomixophus” sheds light on how the transition from a methanogenic LCA to nonmethanogenic Archaeoglobi, which was likely facilitated by multiple individual gene gains (through HGT) and losses, might have occurred (Fig. 6). Previous studies have shown that the dsrAB genes in Archaeoglobus species were accepted from a bacterial donor through HGT (see Fig. S8 at https://figshare.com/articles/Fig_S8_Phylogenetic_trees_showing_the_placement_of_concatenated_DsrAB_sequences_/9918215) (14), and phylogenetic analysis of sat and aprAB in Archaeoglobus species and of narGHI in Ferroglobus placidus and “Ca. Polytropus marinifundus” also suggested their bacterial origin (see Fig. S9, S10, and S11 at https://figshare.com/articles/Fig_S9_Phylogenetic_trees_showing_the_placement_of_concatenated_AprAB_sequences_/9918212, https://figshare.com/articles/Fig_S10_Phylogenetic_trees_showing_the_placement_of_concatenated_NarGHI_sequences_/9918221, and https://figshare.com/articles/Fig_S11_Phylogenetic_trees_showing_the_placement_of_the_Sat_sequences_/9918227, respectively) (14, 46). Furthermore, phylogenetic analysis demonstrated that the sat and aprAB genes in Geoglobus species, Ferroglobus placidus, and “Ca. Polytropus marinifundus” were located in separate clusters, distantly related to Archaeoglobus species (see Fig. S9 and S11 at https://figshare.com/articles/Fig_S9_Phylogenetic_trees_showing_the_placement_of_concatenated_AprAB_sequences_/9918212 and https://figshare.com/articles/Fig_S11_Phylogenetic_trees_showing_the_placement_of_the_Sat_sequences_/9918227, respectively), which indicates multiple HGT events and different donors of these genes during evolution (Fig. 6). Consistently, the contigs in “Ca. Methanomixophus dualitatem” genomes that flank sat and apr genes showed many hallmarks of HGT (see Fig. S6 at https://figshare.com/articles/Fig_S6_Contigs_containing_sulfate-reducing_genes_in_Ca_Methanomixophus_MAGs_/9918203), including repeat regions, transposons, and tRNA genes often found in association with genomic islands (47), and are common target sites for phage attachment and integration (48). Overall, sulfate-reducing ability was largely retained in Archaeoglobus members as well as in “Ca. Methanomixophus dualitatem,” as found in this study, which usually inhabit submarine hydrothermal environments (49, 50), hot springs (51), and deep oil reservoirs (52), with elevated concentrations of carbon dioxide, methane, hydrogen, hydrogen sulfide, and sulfate.
FIG 6.
Proposed evolutionary transition of Archaeoglobi from methanogen mostly supported by this study. The backbone tree was simplified from the genome tree in Fig. 1. Branches representing methanogens and sulfate-reducing, nitrate-reducing, and iron-reducing microorganisms are shaded in blue and red, yellow, and gray, respectively. The putative events of gene loss/gain were inferred based on the LCA of the lineages. The subgroups of genes mcr, apr, and sat were determined according to their phylogenies (Fig. 2; see also Fig. S8 to 11 [see text for URLs]). Data representing genes for catabolism of fatty acids and lactate and proteins/peptides are not included in this figure, and only genome-representing isolates apart from “Ca. Polytropus marinifundus” and genomes discovered in this study were included for reasons of clarity. “Ca. Methanomixophus” genomes are marked in red, and “Ca. Polytropus marinifundus” is marked in blue.
The recent discovered hydrogenotrophic methanogenesis pathway in “Ca. Verstraetearchaeota,” which had previously been considered a genus of strict methylotrophic methanogens, implies an ancient origin of hydrogenotrophic methanogenesis and a later adaptation of methylotrophic methanogenesis for all methanogens (53). On the basis of the detection of a MTR complex and a traditional MCR complex in this novel Archaeoglobi genus, as well as the widespread WL pathway within Archaeoglobi lineages, we propose a similar evolutionary trend for Archaeoglobi: hydrogenotrophic methanogenesis first evolved to support life in a nutrient-poor environment that required using only CO2 as a source of carbon, and then complex carbon source degradation ability evolved as more-complex nutrient environments became available, followed by accepting respiring ability using different electron sinks from bacterial members, which made them more metabolically flexible under different environmental conditions (Fig. 6). The previous discovery of the basal member of Archaeoglobi, “Ca. Polytropus marinifundus,” suggests the acquisition of the divergent MCR complex through a HGT event (17). In this study, however, we expanded the current knowledge by showing that (i) two separate HGT events of different types of MCR complexes, from different donors, may have occurred (Fig. 6) and that (ii) despite the fact that the original MCR and MTR complexes encoded in the Archaeoglobi LCA have been substantially lost in most Archaeoglobi lineages, the clade of “Ca. Methanomixophus” retains the original MTR complex (Fig. 6). While other scenarios in which the MTR complex in “Ca. Methanomixophus” could also be acquired via HGT remain possible, this condition is associated with the lowest number of MCR/MTR gene loss events during evolution (see Fig. S13a at https://figshare.com/articles/Fig_S13_Alternative_scenarios_that_might_explain_the_evolution_transition_of_Archaeoglobi_from_methanogen_/9918218). Also, the possibility that “Ca. Methanomixophus” originally inherited both the MCR and MTR complexes from the Archaeoglobi LCA cannot be excluded (see Fig. S13b). Considering the highly complex evolutionary history of the Archaea species that encode the MCR complex, recovering more MCR-encoding lineages throughout the archaeal tree of life would help to make their evolutionary history and metabolic role in the hydrothermal subsurface biosphere clear.
MATERIALS AND METHODS
Sample collection and data availability.
Production water was collected from the Jiangsu oil reservoir (Yangzhou, China) (18); 40 liters of the production water was collected for DNA extraction, and another 40 liters was collected for RNA extraction and was stabilized using a 10% (vol/vol) stop solution (95% ethanol, 5% TRIzol [Life Technology]). All samples were kept on ice and transported to the laboratory within 4 h, and then DNA/RNA was extracted using a PowerMicrobiome RNA isolation kit (MO BIO). After sequencing on an Illumina Miseq platform was performed, metagenomic and metatranscriptomic data sets were processed as previously described (18). In brief, raw reads were quality filtered using PRINSEQ v0.20.4 (54) and were then assembled using SPAdes v3.7.0 (55), and MAGs were generated by GroopM (56). Newly assembled Archaeoglobi MAGs, including MAGs of “Ca. Polytropus marinifundus” (Juan de Fuca Ridge, Northeast Pacific Ocean), Archaeoglobi WYZ-LMO1 (Washburn Spring, WY, USA), WYZ-LMO2 (Obsidian Pool, WY, USA), and WYZ-LMO3 (Obsidian Pool, WY, USA), were retrieved from previous studies (7, 17).
Metagenome assembly and population genome binning.
Metagenomes of water samples from Great Boiling Spring, NV (IMG-ID: 3300000106), and Yellowstone National Park, WY (IMG-ID: 3300005860), were downloaded from IMG/M ER and were trimmed for quality control and adapter removal using Trim_galore (http://www.bioinformatics.babraham.ac.uk/projects/trim_galore/). The processed reads were de novo assembled using SPAdes v3.7.0 (55) with a ‘–meta’ model and with different k-mer settings (47, 79, 93, 127). The contigs generated by the different k-mer settings were evaluated using MetaQUAST v2.2 (57), and the k-mer of 127 was found to be the best (see Table S1 in the supplemental material). Scaffolds were then binned into population genomes using MetaBAT2 v0.32.4 with default settings (58).
Statistics of assemblies with different k-mers generated by MetaQUAST. Download Table S1, DOCX file, 0.02 MB (26.2KB, docx) .
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Genomes used for construction of the genome tree. Download Table S2, DOCX file, 0.02 MB (25.8KB, docx) .
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Primers for amplification of uniquely organized genes in “Ca. Methanomixophus” MAGs. Download Table S3, DOCX file, 0.01 MB (12.6KB, docx) .
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Annotated genes used for metabolic reconstruction of the “Ca. Methanomixophus” MAGs. Coloring corresponds to Fig. 1. Download Table S4, XLSX file, 0.02 MB (21.5KB, xlsx) .
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Taxonomic classification of Archaeoglobi MAGs using the GTDBtk tool. Download Table S5, DOCX file, 0.01 MB (14.1KB, docx) .
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Mobile elements found in “Ca. Methanomixophus” MAGs. Download Table S6, XLSX file, 0.02 MB (19.9KB, xlsx) .
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FPKM values of annotated genes in sample W15. For genes with multiple copies, an averaged value was used as representative. Coloring corresponds to Fig. 1. Download Table S7, XLSX file, 0.02 MB (20.1KB, xlsx) .
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Comparative analysis of KO orthologs shared by “Ca. Polytropus marinifundus” and “Ca. Methanomixophus.” KO orthologs in the pan-genome of Archaeoglobus fulgidus were used as an outgroup. Orthologs found in the “Ca. Polytropus marinifundus” and “Ca. Methanomixophus” pan-genome but not in the Archaeoglobus fulgidus pan-genome are indicated in blue, whereas orthologs streamlined in the “Ca. Polytropus marinifundus” and “Ca. Methanomixophus” pan-genome compared with the Archaeoglobus fulgidus pan-genome are indicated in red. Download Table S8, XLSX file, 0.04 MB (46.3KB, xlsx) .
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Genome annotation.
The annotation of scaffolds in population genomes was confirmed using two parallel methods. First, nucleotide sequences of genomes were submitted to theRAST server for annotation using subsystem technology (59). Second, nucleotide sequences of genomes were translated into amino acid sequences using Prodigal v2.6 (60) with default settings, and the amino acid files were submitted to BlastKOALA server (61) in the prokaryotic species database for assigning knockout (KO) numbers. Only genes with accordant annotations from both methods were included in this study. To characterize the mobile elements in the population genomes, we also searched genomes for signatures of known integrons and transposons. A local database of integrons was created from the nucleotide sequences for all integrases available in the database INTEGRALL v1.2.8414 (10,533 records in total) (62). A gene was recognized as an integron or insertion if the BLAST hit (blastn) had a minimum of 30% identity over 75% of the gene length, according to the previously published threshold (7). Amino acid files of population genomes were submitted to the ISfinder online server (updated on 4 March 2019) (63) for searching for transposons using the ‘blastp’ tool (identity > 30%, coverage > 75%, E value < 1 × 10−5).
Construction of consensus tree.
For the phylogenetic analysis of functional marker proteins (McrABG, MtrABCDEH, Sat, DsrAB, AprAB, and NarGHI), amino acid sequences of individual genes were extracted from assembled genome bins and reference genomes listed in Table S2. Sequences were aligned using MAFFT (64) with iterative refinement methods (‘G-INS-i’) and then refined (retained columns with <10% gaps), and alignments of subunits for the same enzyme were concatenated in a single alignment to get a higher level of phylogenetic resolution. To construct the genome tree, all reference genomes and assembled genome bins were pooled into PhyloPhlAn v0.99, which extracts and aligns 400 conserved protein sequences from the genomes (65). The concatenated alignment file was then extracted for phylogenomic tree building. Consensus trees were built based on three different methods similar to those described in a previous study (14). Maximum likelihood (ML) trees were reconstructed using IQ-tree v. 1.6.7 under standard conditions of model selection with 1,000 ultrafast bootstraps. Neighbor joining (NJ) trees were calculated in the PHYLIP software package (66) using the “NEIGHBOR” function based on the JTT matrix model (67), and bootstrap analysis was performed with 1,000 resamplings (PHYLIP SEQBOOT). Maximum parsimony (MP) trees were constructed in MEGA 7 (68) with 100 and 500 bootstrap replications for the genome tree and gene trees, respectively. The three trees were then combined into a consensus tree by using the extended majority rule in PHYLIP CONSENSE (66). Branch lengths of the consensus tree were inferred by using the JTT matrix model (PHYLIP PROML) (66).
Metatranscriptome analysis.
Metatranscriptomes of sample W15 obtained from the Jiangsu oil reservoir were processed as previously described (18). In brief, raw reads were trimmed by quality analysis using Prinseq (with parameters identical to those used in the metagenome analysis), and the quality-controlled reads were mapped to coding DNA sequences (CDS) of the whole assembly file which has been used to generate the population genomes (18) using Bowtie2 (69) with default settings. Mapping reads are then filtered for MapQ values of >2 in order to remove ambiguously mapping reads (70). eXpress v1.5.1 (71) was used to calculate FPKM (fragments per kilobase per million fragments mapped).
Data availability.
Amplicon sequences were deposited in the NCBI database under accession numbers MN891846 to MN891915. The genome files assembled in this study are available in the RAST server with the IDs mentioned in Table 1 and are also attached here as Text S2 in the supplemental material.
Supplemental methods and results. Download Text S1, DOCX file, 0.05 MB (51.3KB, docx) .
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Nucleotide sequences of contigs of the MAGs assembled in this study. Download Text S2, DOCX file, 1.3 MB (1.3MB, docx) .
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ACKNOWLEDGMENTS
This work was supported by the National Natural Science Foundation of China (grant no. 41807324, 41530318, and 41373070), Fundamental Research Funds for the Central Universities (no. 22221818014 and 50321101917017), and grants from the Research Program of State Key Laboratory of Bioreactor Engineering to Y.-F.L., S.M.M., and B.-Z.M. and from the NSFC/RGC Joint Research Fund (no. 41161160560) to J.-D.G. This study was based in part on work supported by the U.S. Department of Energy (DOE) Office of Science and Office of Biological & Environmental Research (award DE-SC0012586).
Y.-F.L. conceived the study and conducted the genomic analysis. B.-Z.M., X.-L.W., and K.Z. oversaw this project. J.C. constructed the amplicon libraries. Y.-F.L., L.S.Z., L.-Y.W., S.M.M., J.-D.G., Z.-W.H., and K.Z. wrote the manuscript.
We declare that we have no conflicts of interest.
REFERENCES
- 1.Thauer RK, Kaster A-K, Seedorf H, Buckel W, Hedderich R. 2008. Methanogenic archaea: ecologically relevant differences in energy conservation. Nat Rev Microbiol 6:579–591. doi: 10.1038/nrmicro1931. [DOI] [PubMed] [Google Scholar]
- 2.Paul K, Nonoh JO, Mikulski L, Brune A. 2012. Methanoplasmatales,” thermoplasmatales-related archaea in termite guts and other environments, are the seventh order of methanogens. Appl Environ Microbiol 78:8245–8253. doi: 10.1128/AEM.02193-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Sorokin DY, Makarova KS, Abbas B, Ferrer M, Golyshin PN, Galinski EA, Ciordia S, Mena MC, Merkel AY, Wolf YI, van Loosdrecht MCM, Koonin EV. 2017. Discovery of extremely halophilic, methyl-reducing euryarchaea provides insights into the evolutionary origin of methanogenesis. Nat Microbiol 2:17081. doi: 10.1038/nmicrobiol.2017.81. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Spang A, Ettema T. 2017. The methanogenic roots of Archaea. Nat Microbiol 2:17109. doi: 10.1038/nmicrobiol.2017.109. [DOI] [PubMed] [Google Scholar]
- 5.Evans PN, Parks DH, Chadwick GL, Robbins SJ, Orphan VJ, Golding SD, Tyson GW. 2015. Methane metabolism in the archaeal phylum Bathyarchaeota revealed by genome-centric metagenomics. Science 350:434–438. doi: 10.1126/science.aac7745. [DOI] [PubMed] [Google Scholar]
- 6.Vanwonterghem I, Evans PN, Parks DH, Jensen PD, Woodcroft B5, Hugenholtz P, Tyson GW. 3 October 2016, posting date Methylotrophic methanogenesis discovered in the novel archaeal phylum Verstraetearchaeota. Nat Microbiol doi: 10.1038/nmicrobiol.2016.170. [DOI] [PubMed] [Google Scholar]
- 7.Wang Y, Wegener G, Hou J, Wang F, Xiao X. 2019. Expanding anaerobic alkane metabolism in the domain of Archaea. Nat Microbiol 4:595–602. doi: 10.1038/s41564-019-0364-2. [DOI] [PubMed] [Google Scholar]
- 8.Seitz KW, Dombrowski N, Eme L, Spang A, Lombard J, Sieber JR, Teske AP, Ettema TJG, Baker BJ. 2019. New Asgard archaea capable of anaerobic hydrocarbon cycling. Nat Commun 10:527697. doi: 10.1038/s41467-019-09364-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Borrel G, Adam PS, McKay LJ, Chen LX, Sierra-García IN, Sieber CMK, Letourneur Q, Ghozlane A, Andersen GL, Li WJ, Hallam SJ, Muyzer G, de Oliveira VM, Inskeep WP, Banfield JF, Gribaldo S. 2019. Wide diversity of methane and short-chain alkane metabolisms in uncultured archaea. Nat Microbiol 4:603–613. doi: 10.1038/s41564-019-0363-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Laso-Peréz R, Wegener G, Knittel K, Widdel F. 2016. Thermophilic archaea activate butane via alkyl-CoM formation. Nature 539:1–36. doi: 10.1038/nature20152. [DOI] [PubMed] [Google Scholar]
- 11.Hartzell P, Reed DW. 2006. The genus Archaeoglobus, p 82–100. In Dworkin M, Falkow S, Rosenberg E, Schleifer KH, Stackebrandt E (ed), The prokaryotes. Springer, New York, NY. [Google Scholar]
- 12.Borrel G, Adam PS, Gribaldo S. 11 May 2016, posting date Methanogenesis and the Wood-Ljungdahl pathway: an ancient, versatile, and fragile association. Genome Biol Evol doi: 10.1093/gbe/evw114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Bapteste E, Brochier C, Boucher Y. 2005. Higher-level classification of the Archaea: evolution of methanogenesis and methanogens. Archaea 1:353–363. doi: 10.1155/2005/859728. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Müller AL, Kjeldsen KU, Rattei T, Pester M, Loy A. 2015. Phylogenetic and environmental diversity of DsrAB-type dissimilatory (bi)sulfite reductases. ISME J 9:1152–1165. doi: 10.1038/ismej.2014.208. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Fischer R, Gärtner P, Yeliseev A, Thauer RK. 1992. N5-Methyltetrahydromethanopterin: coenzyme M methyltransferase in methanogenic archaebacteria is a membrane protein. Arch Microbiol 158:208–217. doi: 10.1007/bf00290817. [DOI] [PubMed] [Google Scholar]
- 16.Evans PN, Boyd JA, Leu AO, Woodcroft BJ, Parks DH, Hugenholtz P, Tyson GW. 2019. An evolving view of methane metabolism in the Archaea. Nat Rev Microbiol 17:219–232. doi: 10.1038/s41579-018-0136-7. [DOI] [PubMed] [Google Scholar]
- 17.Boyd JA, Jungbluth SP, Leu AO, Evans PN, Woodcroft BJ, Chadwick GL, Orphan VJ, Amend JP, Rappé MS, Tyson GW, Tyson GW. 2019. Divergent methyl-coenzyme M reductase genes in a deep-subsea floor Archaeoglobi. ISME J 13:1269–1279. doi: 10.1038/s41396-018-0343-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Liu Y-F, Galzerani DD, Mbadinga SM, Zaramela LS, Gu J-D, Mu B-Z, Zengler K. 2018. Metabolic capability and in situ activity of microorganisms in an oil reservoir. Microbiome 6:5. doi: 10.1186/s40168-017-0392-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Dodsworth JA, Blainey PC, Murugapiran SK, Swingley WD, Ross CA, Tringe SG, Chain PSG, Scholz MB, Lo C-C, Raymond J, Quake SR, Hedlund BP. 2013. Single-cell and metagenomic analyses indicate a fermentative and saccharolytic lifestyle for members of the OP9 lineage. Nat Commun 4:1854. doi: 10.1038/ncomms2884. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Parks DH, Rinke C, Chuvochina M, Chaumeil PA, Woodcroft BJ, Evans PN, Hugenholtz P, Tyson GW. 2017. Recovery of nearly 8,000 metagenome-assembled genomes substantially expands the tree of life. Nat Microbiol 2:1533–1542. doi: 10.1038/s41564-017-0012-7. [DOI] [PubMed] [Google Scholar]
- 21.Bowers RM, Genome Standards Consortium, Kyrpides NC, Stepanauskas R, Harmon-Smith M, Doud D, Reddy TBK, Schulz F, Jarett J, Rivers AR, Eloe-Fadrosh EA, Tringe SG, Ivanova NN, Copeland A, Clum A, Becraft ED, Malmstrom RR, Birren B, Podar M, Bork P, Weinstock GM, Garrity GM, Dodsworth JA, Yooseph S, Sutton G, Glöckner FO, Gilbert JA, Nelson WC, Hallam SJ, Jungbluth SP, Ettema TJG, Tighe S, Konstantinidis KT, Liu WT, Baker BJ, Rattei T, Eisen JA, Hedlund B, McMahon KD, Fierer N, Knight R, Finn R, Cochrane G, Karsch-Mizrachi I, Tyson GW, Rinke C, Lapidus A, Meyer F, Yilmaz P, Parks DH, Eren AM, et al. 2017. Minimum information about a single amplified genome (MISAG) and a metagenome-assembled genome (MIMAG) of bacteria and archaea. Nat Biotechnol 35:725–731. doi: 10.1038/nbt.3893. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Konstantinidis KT, Rosselló-Móra R, Amann R. 2017. Uncultivated microbes in need of their own taxonomy. ISME J 11:2399–2406. doi: 10.1038/ismej.2017.113. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Parks DH, Chuvochina M, Waite DW, Rinke C, Skarshewski A, Chaumeil P-A, Hugenholtz P. 2018. A standardized bacterial taxonomy based on genome phylogeny. Nat Biotechnol 36:996–1004. doi: 10.1038/nbt.4229. [DOI] [PubMed] [Google Scholar]
- 24.Yarza P, Yilmaz P, Pruesse E, Glöckner FO, Ludwig W, Schleifer K-H, Whitman WB, Euzéby J, Amann R, Rosselló-Móra R. 2014. Uniting the classification of cultured and uncultured bacteria and archaea using 16S rRNA gene sequences. Nat Rev Microbiol 12:635–645. doi: 10.1038/nrmicro3330. [DOI] [PubMed] [Google Scholar]
- 25.Sunagawa S, Mende DR, Zeller G, Izquierdo-Carrasco F, Berger SA, Kultima JR, Coelho LP, Arumugam M, Tap J, Nielsen HB, Rasmussen S, Brunak S, Pedersen O, Guarner F, De Vos WM, Wang J, Li J, Doré J, Dusko Ehrlich S, Stamatakis A, Bork P. 2013. Metagenomic species profiling using universal phylogenetic marker genes. Nat Methods 10:1196–1199. doi: 10.1038/nmeth.2693. [DOI] [PubMed] [Google Scholar]
- 26.McKay LJ, Dlakić M, Fields MW, Delmont TO, Eren AM, Jay ZJ, Klingelsmith KB, Rusch DB, Inskeep WP. 2019. Co-occurring genomic capacity for anaerobic methane and dissimilatory sulfur metabolisms discovered in the Korarchaeota. Nat Microbiol 4:614–622. doi: 10.1038/s41564-019-0362-4. [DOI] [PubMed] [Google Scholar]
- 27.Ermler U, Grabarse W, Shima S, Goubeaud M, Thauer RK. 1997. Crystal structure of methyl coenzyme M reductase: the key enzyme of biological methane formation. Science 278:1457–1462. doi: 10.1126/science.278.5342.1457. [DOI] [PubMed] [Google Scholar]
- 28.Santos AA, Venceslau SS, Grein F, Leavitt WD, Dahl C, Johnston DT, Pereira I. 2015. A protein trisulfide couples dissimilatory sulfate reduction to energy conservation. Science 350:1541–1545. doi: 10.1126/science.aad3558. [DOI] [PubMed] [Google Scholar]
- 29.Venceslau SS, Stockdreher Y, Dahl C, Pereira I. 2014. The “bacterial heterodisulfide” DsrC is a key protein in dissimilatory sulfur metabolism. Biochim Biophys Acta 1837:1148–1164. doi: 10.1016/j.bbabio.2014.03.007. [DOI] [PubMed] [Google Scholar]
- 30.Ikeuchi Y, Shigi N, Kato J, Nishimura A, Suzuki T. 2006. Mechanistic insights into sulfur relay by multiple sulfur mediators involved in thiouridine biosynthesis at tRNA wobble positions. 21:97–108. doi: 10.1016/j.molcel.2005.11.001. [DOI] [PubMed] [Google Scholar]
- 31.Hocking WP, Stokke R, Roalkvam I, Steen IH. 11 March 2014, posting date Identification of key components in the energy metabolism of the hyperthermophilic sulfate-reducing archaeon Archaeoglobus fulgidus by transcriptome analyses. Front Microbiol doi: 10.3389/fmicb.2014.00095. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Stokke R, Roalkvam I, Lanzen A, Haflidason H, Steen IH. 2012. Integrated metagenomic and metaproteomic analyses of an ANME-1-dominated community in marine cold seep sediments. Environ Microbiol 14:1333–1346. doi: 10.1111/j.1462-2920.2012.02716.x. [DOI] [PubMed] [Google Scholar]
- 33.Welander PV, Metcalf WW. 2008. Mutagenesis of the C1 oxidation pathway in Methanosarcina barkeri: new insights into the Mtr/Mer bypass pathway. J Bacteriol 190:1928–1936. doi: 10.1128/JB.01424-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Meyerdierks A, Kube M, Kostadinov I, Teeling H, Glöckner FO, Reinhardt R, Amann R. 2010. Metagenome and mRNA expression analyses of anaerobic methanotrophic archaea of the ANME-1 group. Environ Microbiol 12:422–439. doi: 10.1111/j.1462-2920.2009.02083.x. [DOI] [PubMed] [Google Scholar]
- 35.Mander GJ, Pierik AJ, Huber H, Hedderich R. 2004. Two distinct heterodisulfide reductase-like enzymes in the sulfate-reducing archaeon Archaeoglobus profundus. Eur J Biochem 271:1106–1116. doi: 10.1111/j.1432-1033.2004.04013.x. [DOI] [PubMed] [Google Scholar]
- 36.Kaster A-K, Moll J, Parey K, Thauer RK. 2011. Coupling of ferredoxin and heterodisulfide reduction via electron bifurcation in hydrogenotrophic methanogenic archaea. Proc Natl Acad Sci U S A 108:2981–2986. doi: 10.1073/pnas.1016761108. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Mander GJ, Duin EC, Linder D, Stetter KO, Hedderich R. 2002. Purification and characterization of a membrane-bound enzyme complex from the sulfate-reducing archaeon Archaeoglobus fulgidus related to heterodisulfide reductase from methanogenic archaea. Eur J Biochem 269:1895–1904. doi: 10.1046/j.1432-1033.2002.02839.x. [DOI] [PubMed] [Google Scholar]
- 38.Strittmatter AW, Liesegang H, Rabus R, Decker I, Amann J, Andres S, Henne A, Fricke WF, Martinez-Arias R, Bartels D, Goesmann A, Krause L, Pühler A, Klenk HP, Richter M, Schüler M, Glöckner FO, Meyerdierks A, Gottschalk G, Amann R. 2009. Genome sequence of Desulfobacterium autotrophicum HRM2, a marine sulfate reducer oxidizing organic carbon completely to carbon dioxide. Environ Microbiol 11:1038–1055. doi: 10.1111/j.1462-2920.2008.01825.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Brüggemann H, Falinski F, Deppenmeier U. 2000. Structure of the F420H2:quinone oxidoreductase of Archaeoglobus fulgidus. Eur J Biochem 267:5810–5814. doi: 10.1046/j.1432-1327.2000.01657.x. [DOI] [PubMed] [Google Scholar]
- 40.Hocking WP, Roalkvam I, Magnussen C, Stokke R, Steen IH. 2015. Assessment of the carbon monoxide metabolism of the hyperthermophilic sulfate-reducing archaeon Archaeoglobus fulgidus VC-16 by comparative transcriptome analyses. Archaea 2015:235384. doi: 10.1155/2015/235384. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Welte C, Deppenmeier U. 2011. Membrane-bound electron transport in Methanosaeta thermophila. J Bacteriol 193:2868–2870. doi: 10.1128/JB.00162-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Deppenmeier U, Blaut M, Mahlmann A, Gottschalk G. 1990. Reduced coenzyme F420: heterodisulfide oxidoreductase, a proton- translocating redox system in methanogenic bacteria. Proc Natl Acad Sci U S A 87:9449–9453. doi: 10.1073/pnas.87.23.9449. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Lang K, Schuldes J, Klingl A, Poehlein A, Daniel R, Brune A. 2015. New mode of energy metabolism in the seventh order of methanogens as revealed by comparative genome analysis of “Candidatus Methanoplasma termitum.” Appl Environ Microbiol 81:1338–1352. doi: 10.1128/AEM.03389-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.McGlynn SE. 2017. Energy metabolism during anaerobic methane oxidation in ANME Archaea. Microbes Environ 32:5–13. doi: 10.1264/jsme2.ME16166. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Timmers PHA, Welte CU, Koehorst JJ, Plugge CM, Jetten MSM, Stams A. 2017. Reverse methanogenesis and respiration in methanotrophic Archaea. Archaea 2017:1654237. doi: 10.1155/2017/1654237. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Meyer B, Kuever J. 2007. Phylogeny of the alpha and beta subunits of the reductase from sulfate-reducing prokaryotes–origin and evolution of the dissimilatory sulfate-reduction pathway. Microbiology 153:2026–2044. doi: 10.1099/mic.0.2006/003152-0. [DOI] [PubMed] [Google Scholar]
- 47.Butler JE, He Q, Nevin KP, He Z, Zhou J, Lovley DR. 2007. Genomic and microarray analysis of aromatics degradation in Geobacter metallireducens and comparison to a Geobacter isolate from a contaminated field site. BMC Genomics 8:180. doi: 10.1186/1471-2164-8-180. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Hacker J, Blum-Oehler G, Muhldorfer I, Tschape H. 1997. Pathogenicity islands of virulent bacteria: structure, function and impact on microbial evolution. Mol Microbiol 23:1089–1097. doi: 10.1046/j.1365-2958.1997.3101672.x. [DOI] [PubMed] [Google Scholar]
- 49.Kashefi K, Tor JM, Holmes DE, Praagh CVG, Van Reysenbach A, Lovley DR. 2002. Geoglobus ahangari gen. nov., sp. nov., a novel hyperthermophilic archaeon capable of oxidizing organic acids and growing autotrophically on hydrogen with Fe (III) serving as the sole electron acceptor. Int J Syst Evol Microbiol 52:719–728. doi: 10.1099/00207713-52-3-719. [DOI] [PubMed] [Google Scholar]
- 50.Slobodkina GB, Kolganova TV, Querellou J, Bonch-Osmolovskaya EA, Slobodkin AI. 2009. Geoglobus acetivorans sp. nov., an iron(III)-reducing archaeon from a deep-sea hydrothermal vent. Int J Syst Evol Microbiol 59:2880–2883. doi: 10.1099/ijs.0.011080-0. [DOI] [PubMed] [Google Scholar]
- 51.Barns SM, Fundyga RE, Jeffries MW, Pace NR. 1994. Remarkable archaeal diversity detected in a Yellowstone National Park hot spring environment (archaebacteria/phylogeny/thermophfly/molecular ecology). Proc Natl Acad Sci U S A 91:1609–1613. doi: 10.1073/pnas.91.5.1609. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Mbadinga SM, Wang LY, Zhou L, Liu JF, Gu JD, Mu BZ. 2011. Microbial communities involved in anaerobic degradation of alkanes. Int Biodeterior Biodegrad 65:1–13. doi: 10.1016/j.ibiod.2010.11.009. [DOI] [Google Scholar]
- 53.Berghuis BA, Yu FB, Schulz F, Blainey PC, Woyke T, Quake SR. 2019. Hydrogenotrophic methanogenesis in archaeal phylum Verstraetearchaeota reveals the shared ancestry of all methanogens. Proc Natl Acad Sci U S A 116:5037–5044. doi: 10.1073/pnas.1815631116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Schmieder R, Edwards R. 2011. Quality control and preprocessing of metagenomic datasets. Bioinformatics 27:863–864. doi: 10.1093/bioinformatics/btr026. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Bankevich A, Nurk S, Antipov D, Gurevich AA, Dvorkin M, Kulikov AS, Lesin VM, Nikolenko SI, Pham S, Prjibelski AD, Pyshkin AV, Sirotkin AV, Vyahhi N, Tesler G, Alekseyev MA, Pevzner PA. 2012. SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing. J Comput Biol 19:455–477. doi: 10.1089/cmb.2012.0021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Imelfort M, Parks D, Woodcroft BJ, Dennis P, Hugenholtz P, Tyson GW. 2014. GroopM: an automated tool for the recovery of population genomes from related metagenomes. PeerJ 2:e603. doi: 10.7717/peerj.603. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Mikheenko A, Saveliev V, Gurevich A. 2016. MetaQUAST: evaluation of metagenome assemblies. Bioinformatics 32:1088–1090. doi: 10.1093/bioinformatics/btv697. [DOI] [PubMed] [Google Scholar]
- 58.Kang DD, Froula J, Egan R, Wang Z. 2015. MetaBAT, an efficient tool for accurately reconstructing single genomes from complex microbial communities. PeerJ 3:e1165. doi: 10.7717/peerj.1165. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Aziz RK, Bartels D, Best AA, DeJongh M, Disz T, Edwards RA, Formsma K, Gerdes S, Glass EM, Kubal M, Meyer F, Olsen GJ, Olson R, Osterman AL, Overbeek RA, McNeil LK, Paarmann D, Paczian T, Parrello B, Pusch GD, Reich C, Stevens R, Vassieva O, Vonstein V, Wilke A, Zagnitko O. 2008. The RAST Server: rapid annotations using subsystems technology. BMC Genomics 9:75. doi: 10.1186/1471-2164-9-75. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Hyatt D, Chen G-L, Locascio PF, Land ML, Larimer FW, Hauser LJ. 2010. Prodigal: prokaryotic gene recognition and translation initiation site identification. BMC Bioinformatics 11:119. doi: 10.1186/1471-2105-11-119. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Kanehisa M, Sato Y, Morishima K. 2016. BlastKOALA and GhostKOALA: KEGG tools for functional characterization of genome and metagenome sequences. J Mol Biol 428:726–731. doi: 10.1016/j.jmb.2015.11.006. [DOI] [PubMed] [Google Scholar]
- 62.Moura A, Soares M, Pereira C, Leitão N, Henriques I, Correia A. 2009. INTEGRALL: a database and search engine for integrons, integrases and gene cassettes. Bioinformatics 25:1096–1098. doi: 10.1093/bioinformatics/btp105. [DOI] [PubMed] [Google Scholar]
- 63.Siguier P, Perochon J, Lestrade L, Mahillon J, Chandler M. 2006. ISfinder: the reference centre for bacterial insertion sequences. Nucleic Acids Res 34:D32–D36. doi: 10.1093/nar/gkj014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Yamada KD, Tomii K, Katoh K. 2016. Application of the MAFFT sequence alignment program to large data - reexamination of the usefulness of chained guide trees. Bioinformatics 32:3246–3251. doi: 10.1093/bioinformatics/btw412. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Segata N, Börnigen D, Morgan XC, Huttenhower C. 2013. PhyloPhlAn is a new method for improved phylogenetic and taxonomic placement of microbes. Nat Commun 4:2304. doi: 10.1038/ncomms3304. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Felsenstein J. 1989. PHYLIP - phylogeny inference package - v3.2. Cladistics 4:164–166. [Google Scholar]
- 67.Jones DT, Taylor WR, Thornton JM. 1992. The rapid generation of mutation data matrices. Comput Appl Biosci 8:275–282. doi: 10.1093/bioinformatics/8.3.275. [DOI] [PubMed] [Google Scholar]
- 68.Kumar S, Stecher G, Tamura K. 2016. MEGA7: Molecular Evolutionary Genetics Analysis version 7.0 for bigger datasets. Mol Biol Evol 33:1870–1874. doi: 10.1093/molbev/msw054. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Langmead B, Salzberg SL. 2012. Fast gapped-read alignment with Bowtie 2. Nat Methods 9:357–359. doi: 10.1038/nmeth.1923. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Lan F, Demaree B, Ahmed N, Abate AR. 2017. Single-cell genome sequencing at ultra-high-throughput with microfluidic droplet barcoding. Nat Biotechnol 35:640–646. doi: 10.1038/nbt.3880. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Roberts A, Pachter L. 2013. Streaming fragment assignment for real-time analysis of sequencing experiments. Nat Methods 10:71–73. doi: 10.1038/nmeth.2251. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Statistics of assemblies with different k-mers generated by MetaQUAST. Download Table S1, DOCX file, 0.02 MB (26.2KB, docx) .
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Genomes used for construction of the genome tree. Download Table S2, DOCX file, 0.02 MB (25.8KB, docx) .
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Primers for amplification of uniquely organized genes in “Ca. Methanomixophus” MAGs. Download Table S3, DOCX file, 0.01 MB (12.6KB, docx) .
Copyright © 2020 Liu et al.
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Annotated genes used for metabolic reconstruction of the “Ca. Methanomixophus” MAGs. Coloring corresponds to Fig. 1. Download Table S4, XLSX file, 0.02 MB (21.5KB, xlsx) .
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Taxonomic classification of Archaeoglobi MAGs using the GTDBtk tool. Download Table S5, DOCX file, 0.01 MB (14.1KB, docx) .
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Mobile elements found in “Ca. Methanomixophus” MAGs. Download Table S6, XLSX file, 0.02 MB (19.9KB, xlsx) .
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FPKM values of annotated genes in sample W15. For genes with multiple copies, an averaged value was used as representative. Coloring corresponds to Fig. 1. Download Table S7, XLSX file, 0.02 MB (20.1KB, xlsx) .
Copyright © 2020 Liu et al.
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Comparative analysis of KO orthologs shared by “Ca. Polytropus marinifundus” and “Ca. Methanomixophus.” KO orthologs in the pan-genome of Archaeoglobus fulgidus were used as an outgroup. Orthologs found in the “Ca. Polytropus marinifundus” and “Ca. Methanomixophus” pan-genome but not in the Archaeoglobus fulgidus pan-genome are indicated in blue, whereas orthologs streamlined in the “Ca. Polytropus marinifundus” and “Ca. Methanomixophus” pan-genome compared with the Archaeoglobus fulgidus pan-genome are indicated in red. Download Table S8, XLSX file, 0.04 MB (46.3KB, xlsx) .
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Supplemental methods and results. Download Text S1, DOCX file, 0.05 MB (51.3KB, docx) .
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This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
Nucleotide sequences of contigs of the MAGs assembled in this study. Download Text S2, DOCX file, 1.3 MB (1.3MB, docx) .
Copyright © 2020 Liu et al.
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Data Availability Statement
Amplicon sequences were deposited in the NCBI database under accession numbers MN891846 to MN891915. The genome files assembled in this study are available in the RAST server with the IDs mentioned in Table 1 and are also attached here as Text S2 in the supplemental material.
Supplemental methods and results. Download Text S1, DOCX file, 0.05 MB (51.3KB, docx) .
Copyright © 2020 Liu et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
Nucleotide sequences of contigs of the MAGs assembled in this study. Download Text S2, DOCX file, 1.3 MB (1.3MB, docx) .
Copyright © 2020 Liu et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.






