- Article
- Published:
Isolation of an archaeon at the prokaryote–eukaryote interface
- Hiroyuki Imachi1 na1,
- Masaru K. Nobu2 na1,
- Nozomi Nakahara1,2,3,
- Yuki Morono4,
- Miyuki Ogawara1,
- Yoshihiro Takaki1,
- Yoshinori Takano5,
- Katsuyuki Uematsu6,
- Tetsuro Ikuta7,
- Motoo Ito4,
- Yohei Matsui8,
- Masayuki Miyazaki1,
- Kazuyoshi Murata9,
- Yumi Saito1,
- Sanae Sakai1,
- Chihong Song9,
- Eiji Tasumi1,
- Yuko Yamanaka1,
- Takashi Yamaguchi3,
- Yoichi Kamagata2,
- Hideyuki Tamaki2 &
- …
- Ken Takai1,10
Naturevolume 577, pages519–525 (2020)Cite this article
157kAccesses
628Citations
1343Altmetric
Abstract
The origin of eukaryotes remains unclear1,2,3,4. Current data suggest that eukaryotes may have emerged from an archaeal lineage known as ‘Asgard’ archaea5,6. Despite the eukaryote-like genomic features that are found in these archaea, the evolutionary transition from archaea to eukaryotes remains unclear, owing to the lack of cultured representatives and corresponding physiological insights. Here we report the decade-long isolation of an Asgard archaeon related to Lokiarchaeota from deep marine sediment. The archaeon—‘Candidatus Prometheoarchaeum syntrophicum’ strain MK-D1—is an anaerobic, extremely slow-growing, small coccus (around 550 nm in diameter) that degrades amino acids through syntrophy. Although eukaryote-like intracellular complexes have been proposed for Asgard archaea6, the isolate has no visible organelle-like structure. Instead,Ca. P. syntrophicum is morphologically complex and has unique protrusions that are long and often branching. On the basis of the available data obtained from cultivation and genomics, and reasoned interpretations of the existing literature, we propose a hypothetical model for eukaryogenesis, termed the entangle–engulf–endogenize (also known as E3) model.
This is a preview of subscription content,access via your institution
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
9,800 Yen / 30 days
cancel any time
Subscription info for Japanese customers
We have a dedicated website for our Japanese customers. Please go tonatureasia.com to subscribe to this journal.
Prices may be subject to local taxes which are calculated during checkout





Similar content being viewed by others
Data availability
Genomes forCa. P. syntrophicum MK-D1,Halodesulfovibrio sp. MK-HDV andMethanogenium sp. MK-MG are available under GenBank BioProject accession numbersPRJNA557562,PRJNA557563 andPRJNA557565, respectively. The iTAG sequence data was deposited in BioProjectPRJDB8518 with SRA accession numbersDRR184081–DRR184101. The 16S rRNA gene sequences of MK-D1,Halodesulfovibrio sp. MK-HDV,Methanogenium sp. MK-MG and clones obtained from primary enrichment culture were deposited in the DDBJ/EMBL/GenBank database under accession numbersLC490619–LC490624. The gene expression data of MK-D1 in BioProjectPRJDB9032 with the accession numberDRR199588. The cryo-electron tomograms ofCa. P. syntrophicum MK-D1 have been deposited in the EMDB with accession codesEMD-0809 andEMD-0852.
References
López-García, P. & Moreira, D. Open questions on the origin of eukaryotes.Trends Ecol. Evol.30, 697–708 (2015).
Martin, W. F., Garg, S. & Zimorski, V. Endosymbiotic theories for eukaryote origin.Phil. Trans. R. Soc. Lond. B370, 20140330 (2015).
Eme, L., Spang, A., Lombard, J., Stairs, C. W. & Ettema, T. J. G. Archaea and the origin of eukaryotes.Nat. Rev. Microbiol.15, 711–723 (2017).
Koonin, E. V. Origin of eukaryotes from within archaea, archaeal eukaryome and bursts of gene gain: eukaryogenesis just made easier? Phil.Trans. R. Soc. Lond. B370, 20140333 (2015).
Spang, A. et al. Complex archaea that bridge the gap between prokaryotes and eukaryotes.Nature521, 173–179 (2015).
Zaremba-Niedzwiedzka, K. et al. Asgard archaea illuminate the origin of eukaryotic cellular complexity.Nature541, 353–358 (2017).
Sousa, F. L., Neukirchen, S., Allen, J. F., Lane, N. & Martin, W. F. Lokiarchaeon is hydrogen dependent.Nat. Microbiol.1, 16034 (2016).
Seitz, K. W., Lazar, C. S., Hinrichs, K.-U., Teske, A. P. & Baker, B. J. Genomic reconstruction of a novel, deeply branched sediment archaeal phylum with pathways for acetogenesis and sulfur reduction.ISME J.10, 1696–1705 (2016).
Dombrowski, N., Teske, A. P. & Baker, B. J. Expansive microbial metabolic versatility and biodiversity in dynamic Guaymas Basin hydrothermal sediments.Nat. Commun.9, 4999 (2018).
Liu, Y. et al. Comparative genomic inference suggests mixotrophic lifestyle for Thorarchaeota.ISME J.12, 1021–1031 (2018).
Seitz, K. W. et al. Asgard archaea capable of anaerobic hydrocarbon cycling.Nat. Commun.10, 1822 (2019).
Spang, A. et al. Proposal of the reverse flow model for the origin of the eukaryotic cell based on comparative analyses of Asgard archaeal metabolism.Nat. Microbiol.4, 1138–1148 (2019).
Pushkarev, A. et al. A distinct abundant group of microbial rhodopsins discovered using functional metagenomics.Nature558, 595–599 (2018).
Bulzu, P.-A. et al. Casting light on Asgardarchaeota metabolism in a sunlit microoxic niche.Nat. Microbiol.4, 1129–1137 (2019).
Aoki, M. et al. A long-term cultivation of an anaerobic methane-oxidizing microbial community from deep-sea methane-seep sediment using a continuous-flow bioreactor.PLoS ONE9, e105356 (2014).
Schink, B. & Stams, A. J. inThe Prokaryotes: Prokaryotic Communities and Ecophysiology (eds Rosenberg, E. et al.) 471–493 (Springer, 2013).
Knittel, K., Lösekann, T., Boetius, A., Kort, R. & Amann, R. Diversity and distribution of methanotrophic archaea at cold seeps.Appl. Environ. Microbiol.71, 467–479 (2005).
Albers, S.-V. & Meyer, B. H. The archaeal cell envelope.Nat. Rev. Microbiol.9, 414–426 (2011).
Marguet, E. et al. Membrane vesicles, nanopods and/or nanotubes produced by hyperthermophilic archaea of the genusThermococcus.Biochem. Soc. Trans.41, 436–442 (2013).
Rosenshine, I., Tchelet, R. & Mevarech, M. The mechanism of DNA transfer in the mating system of an archaebacterium.Science245, 1387–1389 (1989).
Imachi, H. et al. Cultivation of methanogenic community from subseafloor sediments using a continuous-flow bioreactor.ISME J.5, 1913–1925 (2011).
Da Cunha, V., Gaia, M., Gadelle, D., Nasir, A. & Forterre, P. Lokiarchaea are close relatives of Euryarchaeota, not bridging the gap between prokaryotes and eukaryotes.PLoS Genet.13, e1006810 (2017).
Da Cunha, V., Gaia, M., Nasir, A. & Forterre, P. Asgard archaea do not close the debate about the universal tree of life topology.PLoS Genet.14, e1007215 (2018).
Spang, A. et al. Asgard archaea are the closest prokaryotic relatives of eukaryotes.PLoS Genet.14, e1007080 (2018).
Brunk, C. F. & Martin, W. F. Archaeal histone contributions to the origin of eukaryotes.Trends Microbiol.27, 703–714 (2019).
Buckel, W. & Thauer, R. K. Energy conservation via electron bifurcating ferredoxin reduction and proton/Na+ translocating ferredoxin oxidation.Biochim. Biophys. Acta1827, 94–113 (2013).
Ma, K., Zhou, H. Z. & Adams, M. W. W. Hydrogen production from pyruvate by enzymes purified from the hyperthermophilic archaeon,Pyrococcus furiosus: a key role for NADPH.FEMS Microbiol. Lett.122, 245–250 (1994).
Nobu, M. K. et al. The genome ofSyntrophorhabdus aromaticivorans strain UI provides new insights for syntrophic aromatic compound metabolism and electron flow.Environ. Microbiol.17, 4861–4872 (2015).
Martin, W. & Müller, M. The hydrogen hypothesis for the first eukaryote.Nature392, 37–41 (1998).
Lyons, T. W., Reinhard, C. T. & Planavsky, N. J. The rise of oxygen in Earth’s early ocean and atmosphere.Nature506, 307–315 (2014).
Davín, A. A. et al. Gene transfers can date the tree of life.Nat. Ecol. Evol.2, 904–909 (2018).
Kump, L. R. et al. Isotopic evidence for massive oxidation of organic matter following the great oxidation event.Science334, 1694–1696 (2011).
Andersson, S. G. & Kurland, C. G. Origins of mitochondria and hydrogenosomes.Curr. Opin. Microbiol.2, 535–541 (1999).
Fenchel, T. & Finlay, B. J. Oxygen toxicity, respiration and behavioural responses to oxygen in free-living anaerobic ciliates.J. Gen. Microbiol.136, 1953–1959 (1990).
Moreira, D. & López-García, P. Symbiosis between methanogenic archaea and δ-proteobacteria as the origin of eukaryotes: the syntrophic hypothesis.J. Mol. Evol.47, 517–530 (1998).
López-García, P. & Moreira, D. Selective forces for the origin of the eukaryotic nucleus.BioEssays28, 525–533 (2006).
Burns, J. A., Pittis, A. A. & Kim, E. Gene-based predictive models of trophic modes suggest Asgard archaea are not phagocytotic.Nat. Ecol. Evol.2, 697–704 (2018).
Martin, W. F., Tielens, A. G. M., Mentel, M., Garg, S. G. & Gould, S. B. The physiology of phagocytosis in the context of mitochondrial origin.Microbiol. Mol. Biol. Rev.81, e00008-17 (2017).
Baum, D. A. & Baum, B. An inside-out origin for the eukaryotic cell.BMC Biol.12, 76 (2014).
Hutson, S. M. & Rannels, S. L. Characterization of a mitochondrial transport system for branched chain α-keto acids.J. Biol. Chem.260, 14189–14193 (1985).
Hug, L. A., Stechmann, A. & Roger, A. J. Phylogenetic distributions and histories of proteins involved in anaerobic pyruvate metabolism in eukaryotes.Mol. Biol. Evol.27, 311–324 (2010).
Degli Esposti, M. et al. Alpha proteobacterial ancestry of the [Fe–Fe]-hydrogenases in anaerobic eukaryotes.Biol. Direct11, 34 (2016).
Pieulle, L. et al. Isolation and characterization of the pyruvate-ferredoxin oxidoreductase from the sulfate-reducing bacteriumDesulfovibrio africanus.Biochim. Biophys. Acta1250, 49–59 (1995).
Liebgott, P.-P. et al. Relating diffusion along the substrate tunnel and oxygen sensitivity in hydrogenase.Nat. Chem. Biol.6, 63–70 (2010).
Winkler, H. H. & Neuhaus, H. E. Non-mitochondrial ATP transport.Trends Biochem. Sci.24, 64–68 (1999).
Gray, M. W. The pre-endosymbiont hypothesis: a new perspective on the origin and evolution of mitochondria.Cold Spring Harb. Perspect. Biol.6, a016097 (2014).
Villanueva, L., Schouten, S. & Damsté, J. S. S. Phylogenomic analysis of lipid biosynthetic genes of Archaea shed light on the ‘lipid divide’.Environ. Microbiol.19, 54–69 (2017).
Caforio, A. et al. ConvertingEscherichia coli into an archaebacterium with a hybrid heterochiral membrane.Proc. Natl Acad. Sci. USA115, 3704–3709 (2018).
Nakamura, K. et al. Application of pseudomurein endoisopeptidase to fluorescence in situ hybridization of methanogens within the familyMethanobacteriaceae.Appl. Environ. Microbiol.72, 6907–6913 (2006).
Cevc, G. & Richardsen, H. Lipid vesicles and membrane fusion.Adv. Drug Deliv. Rev.38, 207–232 (1999).
Nunoura, T. et al. Microbial diversity in deep-sea methane seep sediments presented by SSU rRNA gene tag sequencing.Microbes Environ.27, 382–390 (2012).
Toki, T., Higa, R., Ijiri, A., Tsunogai, U. & Ashi, J. Origin and transport of pore fluids in the Nankai accretionary prism inferred from chemical and isotopic compositions of pore water at cold seep sites off Kumano.Earth Planets Space66, 137 (2014).
Nakahara, N. et al.Aggregatilinea lenta gen. nov., sp. nov., a slow-growing, facultatively anaerobic bacterium isolated from subseafloor sediment, and proposal of the new orderAggregatilineales ord. nov. within the classAnaerolineae of the phylumChloroflexi.Int. J. Syst. Evol. Microbiol.69, 1185–1194 (2019).
Murakami, S., Fujishima, K., Tomita, M. & Kanai, A. Metatranscriptomic analysis of microbes in an oceanfront deep-subsurface hot spring reveals novel small RNAs and type-specific tRNA degradation.Appl. Environ. Microbiol.78, 1015–1022 (2012).
Imachi, H. et al. Cultivable microbial community in 2-km-deep, 20-million-year-old subseafloor coalbeds through ~1000 days anaerobic bioreactor cultivation.Sci. Rep.9, 2305 (2019).
Miyashita, A. et al. Development of 16S rRNA gene-targeted primers for detection of archaeal anaerobic methanotrophs (ANMEs).FEMS Microbiol. Lett.297, 31–37 (2009).
Yamaguchi, T. et al. In situ DNA-hybridization chain reaction (HCR): a facilitated in situ HCR system for the detection of environmental microorganisms.Environ. Microbiol.17, 2532–2541 (2015).
Miyazaki, M. et al.Sphaerochaeta multiformis sp. nov., an anaerobic, psychrophilic bacterium isolated from subseafloor sediment, and emended description of the genusSphaerochaeta.Int. J. Syst. Evol. Microbiol.64, 4147–4154 (2014).
Toyooka, K. et al. Wide-range high-resolution transmission electron microscopy reveals morphological and distributional changes of endomembrane compartments during log to stationary transition of growth phase in tobacco BY-2 cells.Plant Cell Physiol.55, 1544–1555 (2014).
Kremer, J. R., Mastronarde, D. N. & McIntosh, J. R. Computer visualization of three-dimensional image data using IMOD.J. Struct. Biol.116, 71–76 (1996).
Takano, Y. et al. Insight into anaerobic methanotrophy from13C/12C- amino acids and14C/12C-ANME cells in seafloor microbial ecology.Sci. Rep.8, 14070 (2018).
Okumura, T. et al. Hydrogen and carbon isotope systematics in hydrogenotrophic methanogenesis under H2-limited and H2-enriched conditions: implications for the origin of methane and its isotopic diagnosis.Prog. Earth Planet. Sci.3, 14 (2016).
Takano, Y., Kashiyama, Y., Ogawa, N. O., Chikaraishi, Y. & Ohkouchi, N. Isolation and desalting with cation-exchange chromatography for compound-specific nitrogen isotope analysis of amino acids: application to biogeochemical samples.Rapid Commun. Mass Spectrom.24, 2317–2323 (2010).
Chikaraishi, Y. et al.Instrumental Optimization for Compound-specific Nitrogen Isotope Analysis of Amino Acids by Gas Chromatography/Combustion/Isotope Ratio Mass Spectrometry in Earth, Life and Isotopes (eds Ohkouchi, N. et al.) 367–386 (Kyoto Univ. Press, 2010).
Leggett, R. M., Clavijo, B. J., Clissold, L., Clark, M. D. & Caccamo, M. NextClip: an analysis and read preparation tool for Nextera long mate pair libraries.Bioinformatics30, 566–568 (2014).
Bankevich, A. et al. SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing.J. Comput. Biol.19, 455–477 (2012).
Lin, H.-H. & Liao, Y.-C. Accurate binning of metagenomic contigs via automated clustering sequences using information of genomic signatures and marker genes.Sci. Rep.6, 24175 (2016).
Boetzer, M., Henkel, C. V., Jansen, H. J., Butler, D. & Pirovano, W. Scaffolding pre-assembled contigs using SSPACE.Bioinformatics27, 578–579 (2011).
Seemann, T. Prokka: rapid prokaryotic genome annotation.Bioinformatics30, 2068–2069 (2014).
Marchler-Bauer, A. & Bryant, S. H. CD-Search: protein domain annotations on the fly.Nucleic Acids Res.32, W327–W331 (2004).
Marchler-Bauer, A. et al. CDD: NCBI’s conserved domain database.Nucleic Acids Res.43, D222–D226 (2015).
Jones, P. et al. InterProScan 5: genome-scale protein function classification.Bioinformatics30, 1236–1240 (2014).
Petersen, T. N., Brunak, S., von Heijne, G. & Nielsen, H. SignalP 4.0: discriminating signal peptides from transmembrane regions.Nat. Methods8, 785–786 (2011).
Yin, Y. et al. dbCAN: a web resource for automated carbohydrate-active enzyme annotation.Nucleic Acids Res.40, W445–W451 (2012).
Rawlings, N. D., Barrett, A. J. & Finn, R. Twenty years of the MEROPS database of proteolytic enzymes, their substrates and inhibitors.Nucleic Acids Res.44, D343–D350 (2016).
Fischer, M. & Pleiss, J. The Lipase Engineering Database: a navigation and analysis tool for protein families.Nucleic Acids Res.31, 319–321 (2003).
Søndergaard, D., Pedersen, C. N. S. & Greening, C. HydDB: a web tool for hydrogenase classification and analysis.Sci. Rep.6, 34212 (2016).
Boutet, E., Lieberherr, D., Tognolli, M., Schneider, M. & Bairoch, A. UniProtKB/Swiss-Prot.Methods Mol. Biol.406, 89–112 (2007).
Lima, T. et al. HAMAP: a database of completely sequenced microbial proteome sets and manually curated microbial protein families in UniProtKB/Swiss-Prot.Nucleic Acids Res.37, D471–D478 (2009).
Katoh, K. & Standley, D. M. MAFFT multiple sequence alignment software version 7: improvements in performance and usability.Mol. Biol. Evol.30, 772–780 (2013).
Kozlov, A. M., Darriba, D., Flouri, T., Morel, B. & Stamatakis, A. RAxML-NG: a fast, scalable and user-friendly tool for maximum likelihood phylogenetic inference.Bioinformatics35, 4453–4455 (2019).
Ronquist, F. et al. MrBayes 3.2: efficient Bayesian phylogenetic inference and model choice across a large model space.Syst. Biol.61, 539–542 (2012).
Pruesse, E., Peplies, J. & Glöckner, F. O. SINA: accurate high-throughput multiple sequence alignment of ribosomal RNA genes.Bioinformatics28, 1823–1829 (2012).
Quast, C. et al. The SILVA ribosomal RNA gene database project: improved data processing and web-based tools.Nucleic Acids Res.41, D590–D596 (2013).
Stamatakis, A. RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies.Bioinformatics30, 1312–1313 (2014).
Camacho, C. et al. BLAST+: architecture and applications.BMC Bioinformatics10, 421 (2009).
Fu, L., Niu, B., Zhu, Z., Wu, S. & Li, W. CD-HIT: accelerated for clustering the next-generation sequencing data.Bioinformatics28, 3150–3152 (2012).
UniProt Consortium. UniProt: a worldwide hub of protein knowledge.Nucleic Acids Res.47, D506–D515 (2019).
Edgar, R. C. MUSCLE: multiple sequence alignment with high accuracy and high throughput.Nucleic Acids Res.32, 1792–1797 (2004).
Capella-Gutiérrez, S., Silla-Martínez, J. M. & Gabaldón, T. trimAl: a tool for automated alignment trimming in large-scale phylogenetic analyses.Bioinformatics25, 1972–1973 (2009).
Guindon, S. et al. New algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of PhyML 3.0.Syst. Biol.59, 307–321 (2010).
Price, M. N., Dehal, P. S. & Arkin, A. P. FastTree 2—approximately maximum-likelihood trees for large alignments.PLoS ONE5, e9490 (2010).
Bolger, A. M., Lohse, M. & Usadel, B. Trimmomatic: a flexible trimmer for Illumina sequence data.Bioinformatics30, 2114–2120 (2014).
Magoc, T., Wood, D. & Salzberg, S. L. EDGE-pro: estimated degree of gene expression in prokaryotic genomes.Evol. Bioinform. Online9, 127–136 (2013).
Axley, M. J. & Grahame, D. A. Kinetics for formate dehydrogenase ofEscherichia coli formate-hydrogenlyase.J. Biol. Chem.266, 13731–13736 (1991).
Itoh, T., Suzuki, K. & Nakase, T.Thermocladium modestius gen. nov., sp. nov., a new genus of rod-shaped, extremely thermophilic crenarchaeote.Int. J. Syst. Bacteriol.48, 879–887 (1998).
Zillig, W. et al. The archaebacteriumThermofilum pendens represents, a novel genus of the thermophilic, anaerobic sulfur respiringThermoproteales.Syst. Appl. Microbiol.4, 79–87 (1983).
Acknowledgements
We thank H. Ohno and T. Yamaguchi for assistance with HCR-FISH analysis; T. Terada for help with NanoSIMS sample preparation; M. Isozaki for assistance with cultivation experiments; T. Kubota for assistance with chemical analysis; K. Takishita, A. Yabuki, T. Shiratori, A. Ohashi, F. Inagaki, T. Nunoura, S. Kawagucci, T. Shibuya, S. Ishii, S. Suzuki, Y. Tsukatani, C. Chen, Y. Kuruma and R. C. Robinson for advice and discussion; A. Miyashita, Y. Yashiro, K. Aoi, M. Ehara, M. Aoki and Y. Saito for assistance with operating the bioreactor; and J. Ashi and the RVYokosuka and RVShinkai 6500 operation team during cruise YK06-03 (JAMSTEC) and the shipboard scientists and crews of the RVChikyu Shakedown Cruise CK06-06 for their assistance in collecting samples. This study was partially supported by grants from the Japan Society for the Promotion of Science (JSPS) (KAKENHI grants 18687006, 21687006, 24687011, 15H02419 and 19H01005 to H.I., 18H03367 to M.K.N., 26710012, 18H02426, 18H05295 to H.T., 18H04468 and 18K18795 to M.I. and Grant-in-Aid for JSPS Fellow 16J10845 to N.N.). This work was also supported by JSPS KAKENHI grant number JP16H06280, Grant-in-Aid for Scientific Research on Innovative Areas–Platforms for Advanced Technologies and Research Resources ‘Advanced Bioimaging Support’ and the Cooperative Study Program (19-504) of National Institute for Physiological Sciences.
Author information
These authors contributed equally: Hiroyuki Imachi, Masaru K. Nobu
Authors and Affiliations
Institute for Extra-cutting-edge Science and Technology Avant-garde Research (X-star), Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokosuka, Japan
Hiroyuki Imachi, Nozomi Nakahara, Miyuki Ogawara, Yoshihiro Takaki, Masayuki Miyazaki, Yumi Saito, Sanae Sakai, Eiji Tasumi, Yuko Yamanaka & Ken Takai
Bioproduction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan
Masaru K. Nobu, Nozomi Nakahara, Yoichi Kamagata & Hideyuki Tamaki
Department of Civil and Environmental Engineering, Nagaoka University of Technology, Nagaoka, Japan
Nozomi Nakahara & Takashi Yamaguchi
Kochi Institute for Core Sample Research, X-star, JAMSTEC, Nankoku, Japan
Yuki Morono & Motoo Ito
Biogeochemistry Program, Research Institute for Marine Resources Utilization, JAMSTEC, Yokosuka, Japan
Yoshinori Takano
Department of Marine and Earth Sciences, Marine Work Japan, Yokosuka, Japan
Katsuyuki Uematsu
Research Institute for Global Change, JAMSTEC, Yokosuka, Japan
Tetsuro Ikuta
Research Institute for Marine Resources Utilization, JAMSTEC, Yokosuka, Japan
Yohei Matsui
National Institute for Physiological Sciences, Okazaki, Japan
Kazuyoshi Murata & Chihong Song
Section for Exploration of Life in Extreme Environments, Exploratory Research Center on Life and Living Systems (ExCELLS), National Institute of Natural Sciences, Okazaki, Japan
Ken Takai
- Hiroyuki Imachi
Search author on:PubMed Google Scholar
- Masaru K. Nobu
Search author on:PubMed Google Scholar
- Nozomi Nakahara
Search author on:PubMed Google Scholar
- Yuki Morono
Search author on:PubMed Google Scholar
- Miyuki Ogawara
Search author on:PubMed Google Scholar
- Yoshihiro Takaki
Search author on:PubMed Google Scholar
- Yoshinori Takano
Search author on:PubMed Google Scholar
- Katsuyuki Uematsu
Search author on:PubMed Google Scholar
- Tetsuro Ikuta
Search author on:PubMed Google Scholar
- Motoo Ito
Search author on:PubMed Google Scholar
- Yohei Matsui
Search author on:PubMed Google Scholar
- Masayuki Miyazaki
Search author on:PubMed Google Scholar
- Kazuyoshi Murata
Search author on:PubMed Google Scholar
- Yumi Saito
Search author on:PubMed Google Scholar
- Sanae Sakai
Search author on:PubMed Google Scholar
- Chihong Song
Search author on:PubMed Google Scholar
- Eiji Tasumi
Search author on:PubMed Google Scholar
- Yuko Yamanaka
Search author on:PubMed Google Scholar
- Takashi Yamaguchi
Search author on:PubMed Google Scholar
- Yoichi Kamagata
Search author on:PubMed Google Scholar
- Hideyuki Tamaki
Search author on:PubMed Google Scholar
- Ken Takai
Search author on:PubMed Google Scholar
Contributions
H.I. conceived the study and carried out the deep-marine sediment sampling. H.I., N.N., M.O., M.M. and S.S. conducted cultivation and culture-based experiments. M.K.N. performed metabolic reconstruction and phylogenetic analyses. M.K.N. and Y. Takaki performed genome analysis. H.I., N.N., Y. Morono, M.O., T.I., M.I., K.M., C.S. and K.U. carried out the microscopy and NanoSIMS work. M.O., Y.S. and Y.Y. performed qPCR, SSU rRNA gene analysis and DNA/RNA sequencing. Y. Takano, Y. Matsui and E.T. performed chemical analysis. H.I., M.K.N., N.N., Y. Morono, Y. Takaki, Y. Takano, K.M., C.S., T.Y., Y.K., H.T. and K.T. conducted data interpretation. H.I., M.K.N., Y. Takano, H.T., Y.K. and K.T. wrote the manuscript with input from all co-authors. All authors have read and approved the manuscript submission.
Corresponding authors
Correspondence toHiroyuki Imachi orMasaru K. Nobu.
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Peer review informationNature thanks Sonja-Verena Albers, Petr G. Leiman, James McInerney, Christa Schleper and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Extended data figures and tables
Extended Data Fig. 1 Growth of MK-D1.
a, Effect of temperature on growth of MK-D1. Data are mean ± s.d. of triplicate determinations. Each data point is shown as a dot. The temperature range test was performed twice with similar results.b,c, The amino acid concentrations and growth curves of MK-D1 in pure cocultures at 20 °C. Results from cultures 1 (b) and 2 (c) are shown. Please note that the initial concentrations of amino acids were normalized to 100%. Total amino acids and several representative amino acids (Val, valine; Leu, leucine; Ile, isoleucine) are independently shown for the duplicate culture samples. Detailed iTAG-based community compositions of the cultures are shown in Supplementary Table1.
Extended Data Fig. 2 Circular representation of MK-D1 genome.
From the outside to the centre: the distribution of the coding sequences based on the conserved (orange) or non-conserved (grey) genes in the first circle, non-coding RNAs in the second circle, GC content showing deviation from average (40.7%) in the third circle, and GC skew in the fourth circle. The GC content and GC skew were calculated using a sliding window of 2 kb in step of 10 kb. The coding sequences and RNA genes illustrate the findings for plus and minus strands.
Extended Data Fig. 3 Other representative photomicrographs of MK-D1 cultures andMethanobacterium sp. strain MO-MB1.
a,b, Fluorescence images of cells from enrichment cultures after 8 (a) and 11 (b) transfers stained with DAPI (violet) and hybridized with nucleotide probes that target MK-D1 (green) and Bacteria (red). The images are different fields of view to those shown in Fig.1b, c, which were taken at the same time.c, A fluorescence image of cells in the enrichments after 11 transfers hybridized with nucleotide probes that target MK-D1 (green) and Archaea (but with one mismatch against MK-D1; red). Large and irregular coccoid-shaped cells stained by only ARC915 are probablyMethanogenium.d,e, Dividing cells of MK-D1 with a bleb. The top-right inset image ine shows a magnification of the bleb.f,g, Cryo-EM images of MK-D1 cells and large membrane vesicles (white arrows).h,i, Ultrathin sections of MK-D1 cells with a membrane vesicle. The imagei shows a magnified image ofh.j,k, SEM images of MK-D1 cells with protrusions.l, Ultrathin section of a MK-D1 cell with a protrusion.m,n, Photomicrographs of pure culture of Methanobacterium sp. strain MO-MB1 cells stained with SYBR Green I. Phase-contrast (m) and fluorescence (n) images of the same field are shown.a,b, The FISH experiments were performed three times with similar results.d,e,j,k, The SEM images are representative ofn = 122 recorded images that were obtained from four independent observations from four culture samples. The lipid composition experiments were repeated twice and gave similar results.f,g, The cryo-EM images are representative ofn = 14 recorded images that were taken from two independent observations from two culture samples.h,i,l, The ultrathin-section images are representative ofn = 131 recorded images that were obtained from six independent observations from six culture samples.m,n, The SYBR Green I staining experiment was performed once, but all 10 recorded images showed similar results. Detailed iTAG analyses of cultures are shown in Supplementary Table1.
Extended Data Fig. 4 Ribosomal protein- and 16S rRNA gene-based phylogeny of MK-D1.
a, Phylogenomic tree of MK-D1 and select cultured archaea, eukaryotes and bacteria based on 31 ribosomal proteins conserved across the three domains (Supplementary Table7). Ribosomal protein sequences of MK-D1, the organisms shown in the tree and MAGs of uncultured archaeal lineages (Supplementary Table8) were aligned individually using MAFFT. MAG-derived sequences (except forCa. Korarchaeum) were then removed for tree construction. After removing all-gap positions and concatenation, the maximum-likelihood tree was constructed using RAxML-NG. Bootstrap values around critical branching points are also shown. In total, 14,875 sites of the alignment were used for tree construction.b, A ribosomal protein-based phylogenomic tree constructed using MrBayes. Bayesian inference phylogenies were calculated using MrBayes 3.2.7a and a ribosomal protein concatenated alignment used for Fig.4a.c, Phylogenetic tree of MK-D1 and related archaea based on 16S rRNA genes. The 16S rRNA gene sequences were aligned using SINA against the Silva v.132 alignment and the maximum-likelihood tree was calculated using RAxML.
Extended Data Fig. 5 Amino acid, cofactor and nucleotide biosynthesis capacities of MK-D1 and other Asgard archaea.
Genomes that encode proteins for the synthesis of amino acids, cofactors and nucleotides from pyruvate or acetyl-CoA (dark blue) and synthesis from other intermediates (light blue) are indicated. Those without complete pathways from pyruvate and/or acetyl-CoA are indicated in white.Halodesulfovibrio sp. strain MK-HDV andMethanogenium sp. strain MK-MG isolated in this study are also shown.
Extended Data Fig. 6 Maximum-likelihood tree of Asgard archaea urocanate hydratase.
Urocanate hydratase (HutU) homologues were obtained by BLASTp analysis of the Asgard archaea sequences against the UniProt database (release 2019_06). Of homologues with sequence similarity ≥40% and overlap ≥70%, representative sequences were selected using CD-HIT with a clustering cut-off of 70% similarity (otherwise default settings were used). Additional homologues with verified biochemical activity, sequence similarity ≥30% and overlap ≥70% were obtained by BLASTp analysis of the Asgard archaea sequences against the UniProt/SwissProt database (2019_05). Sequences were aligned using MAFFT v.7 with default settings and trimmed using trimAl v.1.2 with default settings. The maximum-likelihood tree was constructed using RAxML-NG using fixed empirical substitution matrix (LG), 4 discrete GAMMA categories, empirical amino acid frequencies from the alignment and 100 bootstrap replicates. In total, 876 sites of the alignment were used for tree construction.
Extended Data Fig. 7 Maximum-likelihood tree of Asgard archaeal-threonine/l-serine dehydratase.
a, Tree calculated for target Asgard archaeal-threonine/l-serine dehydratase (TdcB) and homologues. TdcB homologues were obtained by BLASTp analysis of the Asgard archaea sequences against the UniProt reference proteome and SwissProt database (release 2019_06). Of homologues with sequence similarity ≥40%, overlap ≥70% and predicted prosite domain PS00165 (serine/threonine dehydratases pyridoxal-phosphate attachment site), representative sequences were selected using CD-HIT with a clustering cut-off of 70% similarity (otherwise default settings were used). Additional homologues with verified biochemical activity, sequence similarity ≥30% and overlap ≥70% were obtained by BLASTp analysis of the Asgard archaea sequences against the UniProt/SwissProt database (2019_05). Sequences were aligned using MAFFT v.7 with default settings. Positions with gaps in more than 10% of the sequences were excluded from the alignment using trimAl v.1.2 (-gt 0.9; and otherwise default settings were used). The maximum-likelihood tree was constructed using PhyML using a fixed empirical substitution matrix (LG), 4 discrete GAMMA categories, empirical amino acid frequencies from the alignment and 100 bootstrap replicates (-b 100 -d aa -m LG -v e). In total, 308 sites of the alignment were used for tree construction.b, Tree calculated for a subset of sequences contained in a section of the original tree (branches that are coloured blue). Sequences were realigned and trimmed as described fora. In total, 308 sites of the alignment were used for tree construction.
Supplementary information
Supplementary Information
This file contains Supplementary Notes 1–9, Supplementary Methods, Supplementary Figures 1–18, and Supplementary References.
Supplementary Tables
This file contains Supplementary Tables 1–10
Supplementary Video 1
| Tilt-series images of a single cell of MK-D1
Supplementary Video 2
| Z-slices of the tomographic three-dimensional reconstruction from the tilt-series in Supplementary Video 1
Supplementary Video 3
| Animation of the same MK-D1 cell as in Supplementary Video 2 The cell envelope and membrane vesicles are colored in light blue and pink, respectively.
Supplementary Video 4
| Tilt-series images of MK-D1 cells
Supplementary Video 5
| Z-slices of the tomographic three-dimensional reconstruction from the tilt-series in Supplementary Video 4
Supplementary Video 6
| Animation of the same MK-D1 cells as in Supplementary Video 5 The cell envelope and membrane vesicles are colored in light blue and pink, respectively.
Rights and permissions
About this article
Cite this article
Imachi, H., Nobu, M.K., Nakahara, N.et al. Isolation of an archaeon at the prokaryote–eukaryote interface.Nature577, 519–525 (2020). https://doi.org/10.1038/s41586-019-1916-6
Received:
Accepted:
Published:
Issue date:
Share this article
Anyone you share the following link with will be able to read this content:
Sorry, a shareable link is not currently available for this article.
Provided by the Springer Nature SharedIt content-sharing initiative
This article is cited by
Methane- and hydrogen-dependent prokaryotic deep biosphere at the Suwa Basin, Japan: impacts of hydrogeological processes on subsurface prokaryotic ecology at the boundary between the North American and the Eurasian Plates
- Hiroki Nishimura
- Atsushi Urai
- Yoshinori Takano
Progress in Earth and Planetary Science (2025)
New groups of highly divergent proteins in families as old as cellular life with important biological functions in the ocean
- Duncan Sussfeld
- Romain Lannes
- Philippe Lopez
Environmental Microbiome (2025)
Extensive data mining uncovers novel diversity among members of the rare biosphere within the Thermoplasmatota
- Mara D. Maeke
- Xiuran Yin
- Christiane Hassenrück
Microbiome (2025)
The environmental adaptation of acidophilic archaea: promotion of horizontal gene transfer by genomic islands
- Jingxuan Qiu
- Huiling Tao
- Liyuan Ma
BMC Genomics (2025)
Chromosomal domain formation by archaeal SMC, a roadblock protein, and DNA structure
- Kodai Yamaura
- Naomichi Takemata
- Haruyuki Atomi
Nature Communications (2025)
Comments
Commenting on this article is now closed.
Rafting Tara
Should be named after Lyn Margules
Him who has understanding
Macro-evolution (I donothere speak of speciation) hasneveroccurred anywhere. This entire paper is based upon speculation and nonsense, and reflects alackof actual scientific and other understanding regarding life itself and how genomes actually work, etc. God created life on Earth exactly as recorded in Genesis 1 to 2 only thousands of years ago.


