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Isolation and characterization of a thermophilic sulfur- and iron-reducing thaumarchaeote from a terrestrial acidic hot spring

Abstract

A deep-branching clade of Thaumarchaeota, conventionally called Terrestrial hot spring creanarchaeotic group (THSCG), is a missing link between thaumarchaeotic ammonia oxidizers and the deeper-branching non-ammonia oxidizers, such as Crenarchaeota and Candidatus Korarchaeota. Here, we report isolation of the first cultivated representative from the THSCG, named as NAS-02. Physiological characterization demonstrated that the isolate was a thermoacidophilic, sulfur- and iron-reducing organoheterotroph, which was supported by gene contents encoded in its complete genome. There was no evidence for ammonia oxidation by the isolate. Members in THSCG are likely thermophiles, and may play roles in degrading cell debris as a scavenger and in biogeochemical cycling of sulfur and iron in the hot environments, as suggested by the physiological characteristics of the isolate and the geographical distribution of the 16S rRNA gene sequences of THSCG in terrestrial hot springs and marine hydrothermal fields. Phylogenetic analysis suggests that the THSCG lineage represented by NAS-02 has gained the ability of sulfur reduction via horizontal gene transfer. Based on the phylogeny and physiology, we propose the name Conexivisphaera calidus gen. nov., sp. nov. to accommodate the isolate.

Introduction

Archaea are ubiquitous and play a significant role in biogeochemical cycling in the environment. Recent culture-independent metagenomics and single-cell genomics have allowed to determine genome sequences of individuals of novel archaeal clades without isolated representatives [1,2,3,4,5,6]. These findings have strongly pushed forward our knowledge of the phylogenetic diversity and metabolic potentials in the Archaea, and moreover, evolution of life. Remarkably, all archaeal isolates reported so far belong to only several clades in Crenarchaeota, Euryarchaeota, and Thaumarchaeota. The physiology of the remaining uncultured archaeal clades has not been demonstrated yet [7, 8].

Terrestrial hot springs harbor diverse as-yet-uncultured archaea in higher-taxonomic-level clades [9,10,11]. One of the uncultured clades is the Terrestrial hot spring creanarchaeotic group (THSCG) [12], also referred to as Hot Thaumarchaetota-related Clade (HTC) [13]. THSCG is phylogenetically located between ammonia-oxidizing thaumarchaeota (AOT) and deeper lineages, such as Crenarchaeota, Ca. Aigarchaeota, and Ca. Korarchaeota [14]. Thus, THSCG is a key group to understand the evolution of Archaea from non-ammonia-oxidizers to AOT that play a significant role in biogeochemical cycling of nitrogen and carbon in the present Earth [15,16,17]. Metagenome-assembled genomes (named Beowulf BS1 and Dragon DS1) reported in hot springs in Yellowstone National Park, USA, have suggested that THSCG contains sulfur-oxidizing nitrate-/oxygen-reducers and heterotrophic sulfur-reducers [18]. However, the ecophysiology of THSCG is still poorly understood because of the absence of any isolated representative. Here, we report the isolation and characterization of a sulfur- and iron-reducing thermoacidophilic archaeon, strain NAS-02, belonging to THSCG. We performed physiological, morphological and genomic analyses of this first isolate of THSCG.

Materials and methods

Sampling and site description

We collected fluid samples at a thermoacidic spring at Oku-Shiobara, Tochigi, Japan (36º57′17″ N, 139º46′47″ E), as previously described [19]. The fluid chemistry of the upper, middle and lower points of a stream (Fig. S1; Table S1) were measured in April 2012. Temperature, pH and dissolved O2 concentration were measured using a portable meter (D-55; Horiba, Kyoto, Japan). Salinity was measured using a hand-held refractometer (MASTER-S/Millα; Atago, Tokyo, Japan). Concentration of total sulfide ion was measured using a Gastec detector tube (Type 211; Kanagawa, Japan). Concentration of Fe2+ was measured by ferrozine assay [20]. For PCR clone analysis of 16S rRNA genes, we collected the fluid samples (1 L for each sampling point). The collected samples were stored with cold storage packs in a cooler box, brought back to our laboratory, and filtered using 0.2-μm-pore-sized membrane filters within a day. The filters were stored in −20 °C until DNA extraction. For cultivation, fluid samples were collected into sterile glass bottles at the middle point of the stream in August 2012. The collected samples were brought back to our laboratory without cooling, inoculated into an enrichment medium, and incubated within a day.

Enrichment and isolation

Using the collected sample from the middle stream as an inoculum, we performed enrichment cultivations with the culture medium contained (per liter); 0.2 g (NH4)2SO4, 3.0 g KH2PO4, 0.5 g MgSO4.7H2O, 0.25 g CaCl2.2H2O, 1.8 mg MnCl2.4H2O, 4.5 mg Na2B4O7.10H2O, 0.22 mg ZnSO4.7H2O, 0.05 mg CuCl2.2H2O, 0.03 mg Na2MoO4.2H2O, 0.03 mg VOSO4.nH2O, 0.01 mg CoSO4.7H2O, 0.5 g yeast extract (BD-Difco), 10 mM Fe(III)-citrate and 10 ml vitamin mixture [21]; pH adjusted to 5.0. The medium was placed in culture bottles under a gas phase of N2/CO2 (4:1, v/v), and reduced with 0.25 mM L-cysteine.HCl and 1.3 mM FeCl2.4H2O. The cultivation was performed at 70 °C for 1 month, and microbial growth was observed in the enrichment culture by phase-contrast microscopy. An archaeal strain was isolated by a repeated dilution-to-extinction method, designated as NAS-02. Purity of the strain was confirmed by morphological observation and the 16S rRNA gene clone analysis as previously reported [19] using bacterial and archaeal universal primers: Arch9F [10] and Uni1406R [22] for archaea, and EB-20F [23] and Uni1406R for bacteria. The purity was also proved by the whole-genome sequencing, showing that only the sequences of the NAS-02 genome were detected.

Physiological characterization

During growth characterization, NAS-02 was found to grow better in a modified enrichment medium supplemented with 2.5 g L−1 Na2S2O3.5H2O, instead of Fe(III)-citrate. Unless otherwise indicated, it was routinely cultivated with S2O32- at 65 °C at pH 5.0 under N2-CO2 (4:1, v/v). NAS-02 was tested for growth on organic and inorganic substrates. As electron acceptors, S2O32-, SO42-, NO3-, S0, and Fe(III)citrate were added (final 20 mM). For the gas phase composition, N2, N2-CO2 (80:20, v/v), H2-CO2 (80:20, v/v), N2-CO2-O2 (79:20:1, v/v/v), and N2-CO2-O2 (78:20:2, v/v/v) were tested. Growth at various pHs was examined with the following buffers (10 mM each): pH 4.0–5.5, HOMOPIPES: pH 5.0–7.0, MES: 6.5–8.0, HEPES. The pH of the culture medium was adjusted from 3.5 to 6.5 at 0.5 intervals. The cultivations were performed at 55 °C to 80 °C at 5 °C intervals. As electron donors and carbon sources, a variety of organic carbon compounds, such as sugars, organic acids, alcohols and proteinaceous substances, were added (Table S2). Growth was determined using a florescence microscopy (BX51, Olympus, Japan) by direct counts of cells stained with SYBR green I.

Morphology

Morphology of cells was observed by phase-contrast microscopy and transmission electron microscopy (TEM). For preparation of ultra-thin sections for TEM, we employed a method using freeze-substitution after glutaraldehyde fixation [24] with minor modifications to preserve ultrastructure of the cells. The cells grown at 70 °C for 3 weeks were fixed with formaldehyde (final 4%) in the culture at 70 °C for 30 min, and then these were fixed with glutaraldehyde (final 2.5%) in the culture at room temperature. The fixed specimens were frozen in a high-pressure freezing apparatus (EM-PACT2; Leica, Wetzlar, Germany). The frozen samples were substituted with OsO4 (final 2%) in acetone for 4 days at −80 °C. The samples were warmed gradually to room temperature, rinsed with acetone, stained with uranyl acetate (final 2%) in methanol, and then embedded in epoxy resin (TAAB Laboratories Equipment Ltd, Aldermaston, UK). Ultra-thin sections (70 nm in thickness) were prepared using an ultra-microtome (EM-UC7; Leica), and were stained with uranyl acetate (final 2%) and lead-stained solution (lead nitrate and lead acetate, final 0.3% each). The sections were observed by a TEM (Tecnai G2 20; FEI, Hillsboro, OR, USA) at an acceleration voltage of 120 kV. We performed elemental analysis using energy dispersive X-ray spectrometry (EDS) (EDAX EDS System; AMETEK, Inc., Minneapolis, MN, USA) equipped with the TEM.

Genome analysis

Genomic DNA was extracted from cell suspension of NAS-02 after 40 days cultivation as previously described [19]. The DNA library was constructed using a Nextera XT DNA Library Prep Kit (Illumina, San Diego, CA, USA), and genome sequencing was performed on the Illumina MiSeq platform with MiSeq Reagent Kit v3 (2x300). The extracted DNA was also applied to whole-genome sequencing using an Ion Torrent PGM system (Life Technologies) and 454 pyrosequencing (Roche) at the Center for Omics and Bioinformatics of the University of Tokyo, Japan. We performed removal of adapter sequences from reads, removal of the reads shorter than 100 bps, and trimming of low-quality ends of the reads using CLC Genomics Workbench version 9.5.3 (QIAGEN Aarhus A/S) with the default setting. All the treated reads were assembled using SPAdes [25] version 3.9.0 with the following parameter (-k 33, 55, 77, 99), resulting in six contigs. Gaps were closed by sanger sequencing of PCR-amplified gap regions. The genome sequences were annotated using Prokka [26] version 1.11 that includes Prodigal [27], Infernal [28] and RNAmmer [29] for detection of protein-coding DNA sequences (CDSs), non-coding RNA and rRNA, respectively. The tRNAs in the genome were predicted using tRNAscan-SE v.2.0 [30]. We also used RAST [31] version 2.0 for gene prediction and annotation. The results of gene prediction and annotation were manually checked and curated. The position of OriC was predicted based on the previous report [32]. Homology searching of all of the CDSs against a non-redundant (nr) database in NCBI (downloaded at 12 April 2018) were performed using Blastp [33] version 2.7.1 with the default parameters. Using the searching result with top 100 hits, the taxonomic classification of the CDSs were determined using MEGAN community edition [34] version 6.11.2 with the default setting by the lowest common ancestor algorithm [35]. All of the CDSs were classified into Orthologous Groups (OGs) using eggNOG version 4.5.1 [36]. The prediction of metabolic pathways was performed using the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway tool [37]. Functional properties of proteins coded by CDSs were predicted using InterProScan [38] version 5.24–63.0. Extracellular transport signals of CDSs were identified using PSORTb 3.0 [39]. The peptidase database MEROPS was used to classify peptidase-like CDSs [40]. Optimal growth temperatures were estimated from genome sequences using Tome version 1.1 [41].

Phylogenetic analysis

To construct a phylogenetic tree for the 16S rRNA gene of NAS-02, its relatives were collected from public databases, such as Genbank/DDBJ/EMBL and Silva database [42]. The sequences of NAS-02 and the relatives were aligned by SINA [43] using an aligned sequences curated by Silva [42] as a reference. The alignment was trimmed using TrimAl [44] version 1.2re59 with the “-automated1” option. The trimmed alignment was used for Maximum-Likelihood tree construction using RAxML [45] version 8.2.10 with the GTRGAMMA model. To construct a genome tree, i.e., a phylogenetic tree of concatenated amino acid sequences from the 43 single copy marker proteins (Table S3) as determined previously [46], the dataset of the sequences were collected from the databases and aligned using MUSCLE [47] version 3.8.31. Based on the alignment trimmed using TrimAl, the genome tree was constructed using RAxML with the PROTOGAMMALG model. We also constructed phylogenetic trees of amino acid sequences encoded by each CDS as described above. For all trees, bootstrap support values were computed with 1000 resamples.

16S rRNA gene survey

The 16S rRNA genes related to THSCG deposited into Sequence Read Archive (SRA) in National Center for Biotechnology Information (NCBI), which were produced by next-generation sequencing methods, such as pyrosequencing and Illumina technology, were surveyed using an IMNGS (Integrated Microbial Next-Generation Sequencing) platform [48] with a 95% similarity threshold. In this survey, we used 10 representative sequences of the reported THSCG 16S rRNA genes (AB007307, DQ834113, AB007308, EF156533, HE574567, AB019732, DQ243777, and FJ797319 for NCBI accession number, 2263083025 (DS1) for JGI-IMG accession number, and that of NAS02) as queries. The 16S rRNA genes affiliated in THSCG in the Silva database release 132 were also surveyed.

16S rRNA gene PCR clone analysis

Genomic DNA was extracted from the membrane filters as described above. Archaeal 16S rRNA genes were amplified by PCR using Arc9F and Uni1406R, and the PCR products were cloned and sequenced as previously described [10]. QIIME 1.9.1 [49] was used for chimera removal, OTU clustering, and taxonomic affiliation of the obtained sequences. The detected clones and close relatives were collected from public databases, the sequences were aligned using SINA, gap positions were removed, and a ML tree of the 16S rRNA sequences was constructed using RAxML, as described above.

Accession number

The complete genome sequence of the NAS-02 was deposited into the DDBJ under the following accession number, AP018732. The archaeal 16S rRNA genes used in the clone library analysis were deposited into the DDBJ under the following accession numbers; AB931042–AB931105, LC158371–LC158446, and AB930951–AB931041, for the upper, middle, and lower stream samples, respectively.

Results and discussion

We isolated NAS-02 from a thermoacidic water sample (57 °C and pH 2.2) using an anaerobic medium amended with Fe(III)-citrate as the sole electron acceptor. We determined its complete genome sequence (Table 1, Fig. S2, Table S4), and constructed phylogenetic trees with a concatenated alignment of conserved single copy marker proteins (called genome tree) and with 16S rRNA genes (Fig. 1a, b, respectively) extracted from the genome. The results indicated that NAS-02 belonged to THSCG, and supported that THSCG branched out between the AOT clade and other archaeal clades, such as Crenarchaeota and Ca. Aigarchaeota, as reported previously [14, 18]. NAS-02 clustered with the metagenome-assembled genomes of Beowulf BS1 and Dragon DS1 [18]. The closest 16S rRNA gene sequence deposited in public databases to that of NAS-02 was the fosmid clone 1m19 recovered from a Kamchatka thermoacidic spring, Russia [13] with a 99.3% similarity. Based on the 16S rRNA gene phylogeny (Fig. 1b), NAS-02 was affiliated with Group I.1f/HTC2, a sub-clade of the THSCG [13, 18]. The closest 16S rRNA gene sequence of cultured species to that of NAS-02 was Hyperthermus butylicus (85.1%), followed by Pyrolobus fumarii (84.8%) and Ca. Nitrosocaldus yellowstonii (83.3%).

Table 1 Summary of habitat, physiology, and genomic feature of NAS-02 and close relatives
Fig. 1
figure1

Phylogenetic trees for NAS-02. The maximum-likelihood trees were constructed using RAxML for a concatenated single copy marker proteins (a total of 43 proteins) and for b 16S rRNA genes. Bootstrap values are indicated as filled circles (≥70%) and open circles (≥50 and <70%) at nodes. The scale bar represents 0.1 amino acid or nucleotide substitutions per sequence position. AOT, ammonia-oxidizing thaumarchaeota; THSCG, Terrestrial Hot Spring Crenarchaeotic Group

Considering the phylogenetic positions of THSCG on the basis of the single copy marker proteins or the 16S rRNA gene, THSCG should represent a major clade different from AOT or class Nitrososphaera among the phylum Thaumarchaeota [50]. At present, NAS-02 is the sole cultivated member of THSCG, and we propose tentatively the name Conexivisphaera calidus to accommodate NAS-02 (=JCM 31663). The genus will also represent the higher taxa (i.e., family, order and class) of the THSCG lineage within the phylum Thaumarchaeota.

Physiological characterization demonstrated that NAS-02 was a moderate thermophilic, weak acidophilic, iron- and sulfur-reducing organoheterotrophic archaeon. Its physiology is summarized in Table 1. A growth curve of NAS-02 cultivated with S2O32− as the electron acceptor at the optimal conditions (65 °C and pH 5.0) is shown in Fig. S3. Its doubling time was 40 h at the exponential phase. The maximal cell density was ~1.0 × 107 cells per mL. NAS-02 grew with sulfur species and Fe3+ as sole electron acceptors, but neither NO3 nor O2. Neither fermentative nor autotrophic growth was observed. It used proteinaceous substances (such as yeast extract and peptone) as the electron donors and carbon sources, but not the other organic carbon compounds tested (Table S2). Cells of NAS-02 were in irregular-coccoid shape, ~0.5–0.8 µm in diameter (Fig. 2). No motility was observed, and neither flagella-like nor pili-like structures was found. There were intracellular particles containing S, Fe, As, Se, and P in the cells growing with thiosulfate (Fig. S4). It is possible that sulfide is produced by thiosulfate reduction, and then precipitated as metal sulfide (or phosphate) within the cells. Such particles were also observed outside the cells (Fig. 2b, Fig. S4).

Fig. 2
figure2

Morphology of NAS-02 cells. a An image of phase-contrast microscopy. b An image of ultrathin-section transmission electron microscopy. S-layer and cell membrane were observed (enlarged image in the left bottom box). Particles showing high electron density were observed both inside and outside a cell

The genomic characteristics reflect the thermophily of NAS-02. The genome encodes a gene for reverse gyrase (NAS2_0035) that is a hallmark of (hyper)thermophiles [51]. This gene was also found in DS1, but not in other relatives (such as BS1, HRbin06, and AB-179-E04) from hot environments possibly due to incompleteness of these genomes. We estimated optimal growth temperature (66 °C) of NAS-02 based on its proteome-wide 2-mer amino acid composition [41], which was consistent with its actual growth temperature. In addition, the estimated optimal growth temperatures of its relatives were also consistent with the in situ temperatures of their habitats (Table 1). Thus, these results strongly support that the deep-branching lineages of Thaumarchaeota include thermophiles, as suggested previously [18].

Anabolic and catabolic metabolisms deduced from the annotatable CDSs (Fig. 3; Table S4) were consistent with the above physiological characterization. The NAS-02 genome encodes genes involved in peptide and fatty acid degradation and elemental sulfur/thiosulfate reduction. For the peptide degradation, genes encoding extracellular and intracellular peptidases, aminotransferases of branched amino acids and aspartate, glutamate dehydrogenase are likely involved. NAS-02 is also likely able to degrade fatty acids via beta oxidation pathway. The acetyl-CoA, oxaloacetate, and 2-oxoglutarate produced by degradation of peptides and fatty acids could be used for production of biomass. ATP and reduced cofactors, such as NADPH, reduced ferredoxin (Fdred), and quinol (QH), could be produced via the Embden–Meyerhof–Parnas (EMP) pathway, pentose phosphate (PP) pathway, and tricarboxylic acid (TCA) cycle, of which complete gene sets were found in the genome. Acetate might be incorporated into acetyl-CoA via AMP-forming acetyl-CoA synthase (ACS) using ATP.

Fig. 3
figure3

Metabolisms deduced from annotatable CDSs. The list of the CDSs is shown in Table S4

The NAS-02 genome encodes genes for NAD(P)H:sulfur oxidoreductase (Nsr), thiosulfate reductase / polysulfide reductase (Phs/Psr), and sulfur reductase (Sre), which are likely involved in the reduction of S0 and S2O32−. The genome also encodes a gene for thiosulfate:quinone oxidoreductase (Tqo), which may be used for quinol oxidation and S2O32− reduction. In addition, we found genes for ferredoxin:NADP+ oxidoreductase (FNR) and electron transfer flavoprotein (ETF):quinone oxidoreductase (Fix), which are likely involved in electron bifurcation. We found genes for NAD(P)H:quinone oxidoreductase (Nuo)-like complex. The Nuo-like complex contained homologs of subunits NuoA–D and H–N, but not NuoE, F, and G that are necessary to obtain electron from NAD(P)H. Such Nuo-like complex without NuoE–G is thought to be a progenitor of Complex I as Fdred:quinone oxidoreductase [52]. Indeed, a Nuo-like complex without NuoE–G in a methanogenic euryarchaeote Methanosaeta thermophila oxidizes Fdred [53]. Oxidation of the reduced cofactors on the cell membrane via the Sre, Phs/Psr, and/or Nuo-like complex could create proton motive force (PMF), and eventually, ATP could be generated by the ATPase using the PMF. The H+/Na+ antiporter could be used for maintaining homeostasis of pH and salinity.

The NAS-02 genome encodes a total of 18 genes related to molybdoenzymes containing a molybdenum cofactor (MoCo) binding site (Fig. S5). Molybdoenzymes include a variety of oxidoreductases, which has been classified into three families, i.e., the xanthine oxidase (XO) family, dimethyl sulfoxide (DMSO) reductase family, and sulfite oxidase family [54]. The XO family includes carbon monoxide dehydrogenase (Cox) and aldehyde oxidoreductase (AOR), in addition to XO. The DMSO family includes formate dehydrogenase (Fdh), and Sre and Phs/Psr. The NAS-02 genome encodes 5 and 13 genes for the XO (Fig. S6) and DMSO families (Fig. S7A–F), respectively. Although genes of the XO family were also found in the genomes of the NAS-02 relatives (e.g., DS1 and BS1), those of DMSO families were rarely found in them possibly due to their incompleteness. Although these molybdoenzymes (except Sre and Phs/Psr) appeared to be involved in oxidation/reduction of carbon monoxide, organic carbon such as formate and aldehydes, and redox cofactors, their exact functions are still unclear because of no supporting physiological data. Further physiological and biochemical analyses are needed to reveal their functions.

The genome encodes cytochrome bd ubiquinol oxidase, Bcp-type thiol peroxidase, and superoxide dismutase, which might be involved in resistance to oxidative stress. Indeed, NAS-02 was tolerant to traces O2 (i.e., growth without a reducing regent, such as L-cysteine or sodium sulfide, into the media), but could not grow at 1% or higher O2 levels in the headspace.

Although NAS-02 grew on Fe3+, there were no homologs for known ferric iron reductase and multi-heme c-type cytochromes, which are involved in iron reduction in archaea and bacteria [55,56,57]. NAS-02 may have an unknown mechanism for Fe reduction, as reported for the other Fe-reducing archaea, such as Pyrobaculum spp., Pyrococcus spp. [58], and members in Ca. Marsarchaeota [6].

As reported in the nearly complete genomes of deeper lineages of Thaumarchaeota [18, 59, 60], the NAS-02 complete genome also lacked amo for ammonia monooxygenase, a key enzyme for ammonia oxidation [15]. This strongly supports that the deeper lineages of Thaumarchaeota do not represent ammonia oxidizers.

We focused on the evolutionary history of genes encoding Nsr, Sre, and Phs/Psr that are involved in reduction of sulfur compounds. The phylogenetic analysis (Fig. 4a) showed that Nsr of NAS-02 was located within a crenarchaeal clade of the class Thermoproteaceae. Although a nsr was also found in DS1, it was phylogenetically distant from that of NAS-02 (Fig. 4a). The phylogenetic analysis of the catalytic subunit of Sre (Fig. 4b) showed that Sre of NAS-02 was located within a crenarchaeal clade of the class Sulfolobaceae. Neither phs/psr nor sre has been found in the genomes of the deep-branching relatives (e.g., DS1 and BS1) of Thaumarchaeota so far. Based on the phylogenies (Fig. 4a, b), it seems that the lineage of NAS-02 has gained the genes of Nsr and Sre from members of Crenarchaeota via horizontal gene transfer (HGT). Indeed, the Nsr and Sre of NAS-02 were most closely related to those of Vulcanisaeta spp. of Thermoproteaceae and Acidianus spp. of Sulfolobaceae, of which 16S rRNA genes were detected in the sampling point by PCR clone library analysis (Fig. S8). In contrast, Phs/Psr of NAS-02, as well as those of a bacteria clade containing members (e.g., Sutterella spp. and Dakarella spp.) of the family Sutterellaceae of Betaproteobacteria, was located between crenarchaeal clades of Sulfolobales and Thermoproteales. If NAS-02 had vertically gained the genes of Nsr, Sre, and Phs/Psr from the common ancestor of THSCG and Crenarchaeota, the NAS-02 genes would have been located outside a large clade including Sulfolobales and Thermoproteales at least. It should be noted that the genes of Nsr, Sre, and Phs/Psr have likely experienced multiple events of gene duplication, gene loss, and HGT, as suggested by the phylogenetic trees (Fig. 4). Thus, the evolutionary history of the genes involved in sulfur reduction are complicated. Further determination and analysis of genome sequences of members in THSCG and relative clades are needed to reveal the detailed evolutionary history of the genes.

Fig. 4
figure4

Phylogenetic trees for CDSs involved in sulfur reduction. The maximum-likelihood trees were constructed using RAxML for a Nsr and b Sre and Phs/Psr. Taxonomic names at order and class levels for Crenarchaeota are shown. Stars indicate the presence of the same species in each tree. Bootstrap values are indicated as filled circles (≥70%) and open circles (≥50% and <70%) at nodes

To assess geographical distribution of THSCG, we surveyed 16S rRNA gene sequences of THSCG in public databases. Although members of THSCG were hardly detected in the hot spring water obtained for this study, the 16S rRNA gene sequences of THSCG have been frequently detected in terrestrial acidic hot springs of several countries, such as Russia, China, Argentina and Japan, and also in marine hydrothermal fields, such as Okinawa Trough, Juan de Fuca Ridge, Mid Atlantic Ridge, and Mohn Ridge (Fig. S9). As consistent with the thermophily of NAS-02, the geographical distribution of THSCG appears to be restricted to thermal environments. Based on the NAS-02 physiology shown in the present study and the previous metagenomics insights [18], members in THSCG may play a role in degrading organic detritus as a “scavenger” and in geochemical cycling of sulfur and iron in such environments.

References

  1. 1.

    Rinke C, Schwientek P, Sczyrba A, Ivanova NN, Anderson IJ, Cheng JF, et al. Insights into the phylogeny and coding potential of microbial dark matter. Nature. 2013;499:431–7.

    CAS  Article  Google Scholar 

  2. 2.

    Castelle CJ, Wrighton KC, Thomas BC, Hug LA, Brown CT, Wilkins MJ, et al. Genomic expansion of domain archaea highlights roles for organisms from new phyla in anaerobic carbon cycling. Curr Biol. 2015;25:690–701.

    CAS  Article  Google Scholar 

  3. 3.

    Spang A, Saw JH, Jorgensen SL, Zaremba-Niedzwiedzka K, Martijn J, Lind AE, et al. Complex archaea that bridge the gap between prokaryotes and eukaryotes. Nature. 2015;521:173–9.

    CAS  Article  Google Scholar 

  4. 4.

    Seitz KW, Lazar CS, Hinrichs K-U, Teske AP, Baker BJ. Genomic reconstruction of a novel, deeply branched sediment archaeal phylum with pathways for acetogenesis and sulfur reduction. ISME J. 2016;10:1696–705.

    CAS  Article  Google Scholar 

  5. 5.

    Lazar CS, Baker BJ, Seitz KW, Teske AP. Genomic reconstruction of multiple lineages of uncultured benthic archaea suggests distinct biogeochemical roles and ecological niches. ISME J. 2017;11:1118–29.

    CAS  Article  Google Scholar 

  6. 6.

    Jay ZJ, Beam JP, Dlakic M, Rusch DB, Kozubal MA, Inskeep WP. Marsarchaeota are an aerobic archaeal lineage abundant in geothermal iron oxide microbial mats. Nat Microbiol. 2018;3:732–40.

    CAS  Article  Google Scholar 

  7. 7.

    Adam PS, Borrel G, Brochier-Armanet C, Gribaldo S. The growing tree of Archaea: new perspectives on their diversity, evolution and ecology. ISME J. 2017;11:2407–25.

    Article  Google Scholar 

  8. 8.

    Spang A, Caceres EF, Ettema TJG. Genomic exploration of the diversity, ecology, and evolution of the archaeal domain of life. Science. 2017; 357:eaaf3883.

    Article  Google Scholar 

  9. 9.

    Barns SM, Fundyga RE, Jeffries MW, Pace NR. Remarkable archaeal diversity detected in a Yellowstone National Park hot spring environment. Proc Natl Acad Sci USA. 1994;91:1609–13.

    CAS  Article  Google Scholar 

  10. 10.

    Kato S, Itoh T, Yamagishi A. Archaeal diversity in a terrestrial acidic spring field revealed by a novel PCR primer targeting archaeal 16S rRNA genes. FEMS Microbiol Lett. 2011;319:34–43.

    CAS  Article  Google Scholar 

  11. 11.

    Takai K, Sako Y. A molecular view of archaeal diversity in marine and terrestrial hot water environments. FEMS Microbiol Ecol. 1999;28:177–88.

    CAS  Article  Google Scholar 

  12. 12.

    Takai K, Horikoshi K. Genetic diversity of archaea in deep-sea hydrothermal vent environments. Genetics. 1999;152:1285–97.

    CAS  PubMed  PubMed Central  Google Scholar 

  13. 13.

    Eme L, Reigstad LJ, Spang A, Lanzen A, Weinmaier T, Rattei T, et al. Metagenomics of Kamchatkan hot spring filaments reveal two new major (hyper)thermophilic lineages related to Thaumarchaeota. Res Microbiol. 2013;164:425–38.

    CAS  Article  Google Scholar 

  14. 14.

    Guy L, Ettema TJ. The archaeal ‘TACK' superphylum and the origin of eukaryotes. Trends Microbiol. 2011;19:580–7.

    CAS  Article  Google Scholar 

  15. 15.

    Francis CA, Roberts KJ, Beman JM, Santoro AE, Oakley BB. Ubiquity and diversity of ammonia-oxidizing archaea in water columns and sediments of the ocean. Proc Natl Acad Sci USA. 2005;102:14683–8.

    CAS  Article  Google Scholar 

  16. 16.

    Wuchter C, Abbas B, Coolen MJ, Herfort L, van Bleijswijk J, Timmers P, et al. Archaeal nitrification in the ocean. Proc Natl Acad Sci USA. 2006;103:12317–22.

    CAS  Article  Google Scholar 

  17. 17.

    Leininger S, Urich T, Schloter M, Schwark L, Qi J, Nicol GW, et al. Archaea predominate among ammonia-oxidizing prokaryotes in soils. Nature. 2006;442:806–9.

    CAS  Article  Google Scholar 

  18. 18.

    Beam JP, Jay ZJ, Kozubal MA, Inskeep WP. Niche specialization of novel Thaumarchaeota to oxic and hypoxic acidic geothermal springs of Yellowstone National Park. ISME J. 2014;8:938–51.

    CAS  Article  Google Scholar 

  19. 19.

    Itoh T, Onishi M, Kato S, Iino T, Sakamoto M, Kudo T, et al. Athalassotoga saccharophila gen. nov. sp. nov. isolated from an acidic terrestrial hot spring of Japan, and proposal of Mesoaciditogales ord. nov., Mesoaciditogaceae fam. nov. in the phylum Thermotogae. Int J Syst Evol Microbiol. 2015;66:1045–51.

    Article  Google Scholar 

  20. 20.

    Stookey LL. Ferrozine—a new spectrophotometric reagent for iron. Anal Chem. 1970;42:779–81.

    CAS  Article  Google Scholar 

  21. 21.

    Balch WE, Fox GE, Magrum LJ, Woese CR, Wolfe RS. Methanogens: reevaluation of a unique biological group. Microbiol Rev. 1979;43:260–96.

    CAS  PubMed  PubMed Central  Google Scholar 

  22. 22.

    Kato S, Kobayashi C, Kakegawa T, Yamagishi A. Microbial communities in iron-silica-rich microbial mats at deep-sea hydrothermal fields of the Southern Mariana Trough. Environ Microbiol. 2009;11:2094–111.

    CAS  Article  Google Scholar 

  23. 23.

    Itoh T, Kudo T, Oyaizu H, Seino A. Two new species in the genus Actinomadura: A. glomerata sp. nov., and A. longicatena sp. nov. Actinomycetologica. 1995;9:164–77.

    Article  Google Scholar 

  24. 24.

    Yamaguchi M, Namiki Y, Okada H, Uematsu K, Tame A, Maruyama T, et al. Improved preservation of fine structure of deep-sea microorganisms by freeze-substitution after glutaraldehyde fixation. J Electron Microsc (Tokyo). 2011;60:283–7.

    CAS  Article  Google Scholar 

  25. 25.

    Bankevich A, Nurk S, Antipov D, Gurevich AA, Dvorkin M, Kulikov AS, et al. SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing. J Comput Biol. 2012;19:455–77.

    CAS  Article  Google Scholar 

  26. 26.

    Seemann T. Prokka: rapid prokaryotic genome annotation. Bioinformatics. 2014;30:2068–9.

    CAS  Article  Google Scholar 

  27. 27.

    Hyatt D, Chen GL, Locascio PF, Land ML, Larimer FW, Hauser LJ. Prodigal: prokaryotic gene recognition and translation initiation site identification. BMC Bioinformatics. 2010;11:119.

    Article  Google Scholar 

  28. 28.

    Nawrocki EP, Eddy SR. Infernal 1.1: 100-fold faster RNA homology searches. Bioinformatics. 2013;29:2933–5.

    CAS  Article  Google Scholar 

  29. 29.

    Lagesen K, Hallin P, Rodland EA, Staerfeldt HH, Rognes T, Ussery DW. RNAmmer: consistent and rapid annotation of ribosomal RNA genes. Nucleic Acids Res. 2007;35:3100–8.

    CAS  Article  Google Scholar 

  30. 30.

    Lowe TM, Chan PP. tRNAscan-SE on-line: integrating search and context for analysis of transfer RNA genes. Nucleic Acids Res. 2016;44:W54–57.

    CAS  Article  Google Scholar 

  31. 31.

    Overbeek R, Olson R, Pusch GD, Olsen GJ, Davis JJ, Disz T, et al. The seed and the rapid annotation of microbial genomes using subsystems technology (RAST). Nucleic Acids Res. 2014;42:D206–214.

    CAS  Article  Google Scholar 

  32. 32.

    Pelve EA, Martens-Habbena W, Stahl DA, Bernander R. Mapping of active replication origins in vivo in thaum- and euryarchaeal replicons. Mol Microbiol. 2013;90:538–50.

    CAS  Article  Google Scholar 

  33. 33.

    Altschul SF, Madden TL, Schaffer AA, Zhang J, Zhang Z, Miller W, et al. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res. 1997;25:3389–402.

    CAS  Article  Google Scholar 

  34. 34.

    Huson DH, Beier S, Flade I, Górska A, El-Hadidi M, Mitra S, et al. MEGAN community edition—interactive exploration and analysis of large-scale microbiome sequencing data. PLoS Comput Biol. 2016;12:e1004957.

    Article  Google Scholar 

  35. 35.

    Huson DH, Auch AF, Qi J, Schuster SC. MEGAN analysis of metagenomic data. Genome Res. 2007;17:377–86.

    CAS  Article  Google Scholar 

  36. 36.

    Huerta-Cepas J, Szklarczyk D, Forslund K, Cook H, Heller D, Walter MC, et al. eggNOG 4.5: a hierarchical orthology framework with improved functional annotations for eukaryotic, prokaryotic and viral sequences. Nucleic Acids Res. 2016;44:D286–293.

    CAS  Article  Google Scholar 

  37. 37.

    Ogata H, Goto S, Sato K, Fujibuchi W, Bono H, Kanehisa M. KEGG: Kyoto encyclopedia of genes and genomes. Nucleic Acids Res. 1999;27:29–34.

    CAS  Article  Google Scholar 

  38. 38.

    Zdobnov EM, Apweiler R. InterProScan—an integration platform for the signature-recognition methods in InterPro. Bioinformatics. 2001;17:847–8.

    CAS  Article  Google Scholar 

  39. 39.

    Yu NY, Wagner JR, Laird MR, Melli G, Rey S, Lo R, et al. PSORTb 3.0: improved protein subcellular localization prediction with refined localization subcategories and predictive capabilities for all prokaryotes. Bioinformatics. 2010;26:1608–15.

    CAS  Article  Google Scholar 

  40. 40.

    Rawlings ND, Barrett AJ, Finn R. Twenty years of the MEROPS database of proteolytic enzymes, their substrates and inhibitors. Nucleic Acids Res. 2016;44:D343–350.

    CAS  Article  Google Scholar 

  41. 41.

    Li G, Rabe KS, Nielsen J, Engqvist MKM Machine learning applied to predicting microorganism growth temperatures and enzyme catalytic optima. ACS Synth. Biol. 2019: https://doi.org/10.1021/acssynbio.9b00099

    CAS  Article  Google Scholar 

  42. 42.

    Quast C, Pruesse E, Yilmaz P, Gerken J, Schweer T, Yarza P, et al. The SILVA ribosomal RNA gene database project: improved data processing and web-based tools. Nucleic Acids Res. 2013;41:D590–596.

    CAS  Article  Google Scholar 

  43. 43.

    Pruesse E, Peplies J, Glockner FO. SINA: accurate high-throughput multiple sequence alignment of ribosomal RNA genes. Bioinformatics. 2012;28:1823–9.

    CAS  Article  Google Scholar 

  44. 44.

    Capella-Gutierrez S, Silla-Martinez JM, Gabaldon T. trimAl: a tool for automated alignment trimming in large-scale phylogenetic analyses. Bioinformatics. 2009;25:1972–3.

    CAS  Article  Google Scholar 

  45. 45.

    Stamatakis A. RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies. Bioinformatics. 2014;30:1312–3.

    CAS  Article  Google Scholar 

  46. 46.

    Parks DH, Imelfort M, Skennerton CT, Hugenholtz P, Tyson GW. CheckM: assessing the quality of microbial genomes recovered from isolates, single cells, and metagenomes. Genome Res. 2015;25:1043–55.

    CAS  Article  Google Scholar 

  47. 47.

    Edgar RC. MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res. 2004;32:1792–7.

    CAS  Article  Google Scholar 

  48. 48.

    Lagkouvardos I, Joseph D, Kapfhammer M, Giritli S, Horn M, Haller D, et al. IMNGS: a comprehensive open resource of processed 16S rRNA microbial profiles for ecology and diversity studies. Sci Rep. 2016;6:33721.

    CAS  Article  Google Scholar 

  49. 49.

    Caporaso JG, Kuczynski J, Stombaugh J, Bittinger K, Bushman FD, Costello EK, et al. QIIME allows analysis of high-throughput community sequencing data. Nat Methods. 2010;7:335–6.

    CAS  Article  Google Scholar 

  50. 50.

    Stieglmeier M, Klingl A, Alves RJ, Rittmann SK, Melcher M, Leisch N, et al. Nitrososphaera viennensis gen. nov., sp. nov., an aerobic and mesophilic, ammonia-oxidizing archaeon from soil and a member of the archaeal phylum Thaumarchaeota. Int J Syst Evol Microbiol. 2014;64:2738–52.

    CAS  Article  Google Scholar 

  51. 51.

    Forterre P. A hot story from comparative genomics: reverse gyrase is the only hyperthermophile-specific protein. Trends Genet. 2002;18:236–7.

    CAS  Article  Google Scholar 

  52. 52.

    Friedrich T, Scheide D. The respiratory complex I of bacteria, archaea and eukarya and its module common with membrane-bound multisubunit hydrogenases. FEBS Lett. 2000;479:1–5.

    CAS  Article  Google Scholar 

  53. 53.

    Welte C, Deppenmeier U. Membrane-bound electron transport in Methanosaeta thermophila. J Bacteriol. 2011;193:2868–70.

    CAS  Article  Google Scholar 

  54. 54.

    Leimkuhler S, Iobbi-Nivol C. Bacterial molybdoenzymes: Old enzymes for new purposes. FEMS Microbiol Rev. 2016;40:1–18.

    Article  Google Scholar 

  55. 55.

    Smith JA, Aklujkar M, Risso C, Leang C, Giloteaux L, Holmes DE. Mechanisms involved in Fe(III) respiration by the hyperthermophilic archaeon Ferroglobus placidus. Appl Environ Microbiol. 2015;81:2735–44.

    CAS  Article  Google Scholar 

  56. 56.

    Vadas A, Monbouquette HG, Johnson E, Schroder I. Identification and characterization of a novel ferric reductase from the hyperthermophilic archaeon Archaeoglobus fulgidus. J Biol Chem. 1999;274:36715–21.

    CAS  Article  Google Scholar 

  57. 57.

    Shi L, Dong H, Reguera G, Beyenal H, Lu A, Liu J, et al. Extracellular electron transfer mechanisms between microorganisms and minerals. Nat Rev Micro. 2016;14:651–62.

    CAS  Article  Google Scholar 

  58. 58.

    Lovley DR, Holmes DE, Nevin KP. Dissimilatory Fe(III) and Mn(IV) reduction. Adv Microb Physiol. 2004;49:219–86.

    CAS  Article  Google Scholar 

  59. 59.

    Lin X, Handley KM, Gilbert JA, Kostka JE. Metabolic potential of fatty acid oxidation and anaerobic respiration by abundant members of Thaumarchaeota and Thermoplasmata in deep anoxic peat. ISME J. 2015;9:2740–4.

    CAS  Article  Google Scholar 

  60. 60.

    Kato S, Sakai S, Hirai M, Tasumi E, Nishizawa M, Suzuki K, et al. Long-term cultivation and metagenomics reveal ecophysiology of previously uncultivated thermophiles involved in biogeochemical nitrogen cycle. Microbes Environ. 2018;33:107–10.

    Article  Google Scholar 

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Acknowledgements

We would like to thank the owner of the spa for permitting us to collect hot spring samples. We also would thank Dr. Kenshiro Oshima and Dr. Masahira Hattori (The University of Tokyo) for their help on genome sequencing. We would also like to thank anonymous reviewers for their helpful and insightful suggestions. This work was supported by RIKEN Special Postdoctoral Researchers Program, RIKEN Incentive Research Grant and Institute of Fermentation (IFO), Osaka, and partially by the Cabinet Office, Government of Japan, through the Next-generation Technology for Ocean Resources Exploration (called as Zipangu-in-the-ocean project) in the Cross-ministerial Strategic Innovation Promotion Program (SIP).

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S.K., T.I., and Mo.O. conceived this study. S.K., T.I., T.T., K.S., and Mo.O. supervised experiments and analyses. S.K., T.I., M.N., Ma.O., M.Y., and K.U. performed analyses. S.K., T.I., and Mo.O. wrote the paper with contributions from all authors.

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Correspondence to Shingo Kato.

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Kato, S., Itoh, T., Yuki, M. et al. Isolation and characterization of a thermophilic sulfur- and iron-reducing thaumarchaeote from a terrestrial acidic hot spring. ISME J 13, 2465–2474 (2019). https://doi.org/10.1038/s41396-019-0447-3

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