Methanothermococcus okinawensis IH1 is an anaerobe, thermophilic prokaryote that was isolated from hydrothermal vent chimney, 972 m depth.
anaerobe thermophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Methanobacteriati |
| Phylum Methanobacteriota |
| Class Methanococci |
| Order Methanococcales |
| Family Methanococcaceae |
| Genus Methanothermococcus |
| Species Methanothermococcus okinawensis |
| Full scientific name Methanothermococcus okinawensis Takai et al. 2002 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 5251 | METHANOCALDOCOCCUS MEDIUM (DSMZ Medium 282) | Medium recipe at MediaDive | Name: METHANOCALDOCOCCUS MEDIUM (DSMZ Medium 282) Composition: MgCl2 x 6 H2O 4.05138 g/l NaHCO3 0.988142 g/l Na2S x 9 H2O 0.494071 g/l L-Cysteine HCl x H2O 0.494071 g/l KCl 0.326087 g/l NH4Cl 0.247036 g/l K2HPO4 0.13834 g/l MgSO4 x 7 H2O 0.0296443 g/l Nitrilotriacetic acid 0.0148221 g/l NaCl 0.00988142 g/l Fe(NH4)2(SO4)2 x 6 H2O 0.00988142 g/l MnSO4 x H2O 0.00494071 g/l ZnSO4 x 7 H2O 0.00177866 g/l CoSO4 x 7 H2O 0.00177866 g/l CaCl2 x 2 H2O 0.000988142 g/l FeSO4 x 7 H2O 0.000988142 g/l Sodium resazurin 0.000494071 g/l NiCl2 x 6 H2O 0.000296443 g/l AlK(SO4)2 x 12 H2O 0.000197628 g/l Na2MoO4 x 2 H2O 9.88142e-05 g/l CuSO4 x 5 H2O 9.88142e-05 g/l H3BO3 9.88142e-05 g/l Pyridoxine hydrochloride 9.88142e-05 g/l Thiamine HCl 4.94071e-05 g/l (DL)-alpha-Lipoic acid 4.94071e-05 g/l p-Aminobenzoic acid 4.94071e-05 g/l Riboflavin 4.94071e-05 g/l Nicotinic acid 4.94071e-05 g/l Calcium D-(+)-pantothenate 4.94071e-05 g/l Biotin 1.97628e-05 g/l Folic acid 1.97628e-05 g/l Na2WO4 x 2 H2O 3.95257e-06 g/l Na2SeO3 x 5 H2O 2.96443e-06 g/l Vitamin B12 9.88142e-07 g/l Distilled water |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Environmental | #Aquatic | #Hydrothermal vent | |
| #Condition | #Thermophilic (>45°C) | - |
Global distribution of 16S sequence AB057722 (>99% sequence identity) for Methanothermococcus from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM17957v2 assembly for Methanothermococcus okinawensis IH1 | complete | 647113 | 98.24 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 5251 | Methanothermococcus okinawensis gene for 16S rRNA, partial sequence | AB057722 | 1392 | 155863 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 5251 | 33.5 | high performance liquid chromatography (HPLC) |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | yes | 65.10 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 55.20 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 59.70 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | anaerobe | 86.40 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 64.93 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 87.89 | no |
| 125438 | aerobic | aerobicⓘ | no | 87.07 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 91.57 | no |
| 125438 | thermophilic | thermophileⓘ | no | 54.88 | no |
| 125438 | flagellated | motile2+ⓘ | no | 83.88 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Biotechnology | Quantitative analysis of amino acid excretion by Methanothermobacter marburgensis under N2-fixing conditions. | Reischl B, Schupp B, Palabikyan H, Steger-Mahnert B, Fink C, Rittmann SKR. | Sci Rep | 10.1038/s41598-025-87686-1 | 2025 | |
| Biotechnology | Lipidomics and Comparative Metabolite Excretion Analysis of Methanogenic Archaea Reveal Organism-Specific Adaptations to Varying Temperatures and Substrate Concentrations. | Taubner RS, Baumann LMF, Steiner M, Pfeifer K, Reischl B, Korynt K, Bauersachs T, Mahnert B, Clifford EL, Peckmann J, Schuster B, Birgel D, Rittmann SKR. | mSystems | 10.1128/msystems.01159-22 | 2023 | |
| Membrane Lipid Composition and Amino Acid Excretion Patterns of Methanothermococcus okinawensis Grown in the Presence of Inhibitors Detected in the Enceladian Plume. | Taubner RS, Baumann LMF, Bauersachs T, Clifford EL, Mahnert B, Reischl B, Seifert R, Peckmann J, Rittmann SKR, Birgel D. | Life (Basel) | 10.3390/life9040085 | 2019 | ||
| Method for Indirect Quantification of CH4 Production via H2O Production Using Hydrogenotrophic Methanogens. | Taubner RS, Rittmann SK. | Front Microbiol | 10.3389/fmicb.2016.00532 | 2016 | ||
| Biological methane production under putative Enceladus-like conditions. | Taubner RS, Pappenreiter P, Zwicker J, Smrzka D, Pruckner C, Kolar P, Bernacchi S, Seifert AH, Krajete A, Bach W, Peckmann J, Paulik C, Firneis MG, Schleper C, Rittmann SKR. | Nat Commun | 10.1038/s41467-018-02876-y | 2018 | ||
| Phylogeny | Methanothermococcus okinawensis sp. nov., a thermophilic, methane-producing archaeon isolated from a Western Pacific deep-sea hydrothermal vent system. | Takai K, Inoue A, Horikoshi K | Int J Syst Evol Microbiol | 10.1099/00207713-52-4-1089 | 2002 |
| #5251 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 14208 |
| #20215 | Parte, A.C., Sardà Carbasse, J., Meier-Kolthoff, J.P., Reimer, L.C. and Göker, M.: List of Prokaryotic names with Standing in Nomenclature (LPSN) moves to the DSMZ. IJSEM ( DOI 10.1099/ijsem.0.004332 ) |
| #66792 | Julia Koblitz, Joaquim Sardà, Lorenz Christian Reimer, Boyke Bunk, Jörg Overmann: Automatically annotated for the DiASPora project (Digital Approaches for the Synthesis of Poorly Accessible Biodiversity Information) . |
| #67770 | Japan Collection of Microorganism (JCM) ; Curators of the JCM; |
| #69479 | João F Matias Rodrigues, Janko Tackmann,Gregor Rot, Thomas SB Schmidt, Lukas Malfertheiner, Mihai Danaila,Marija Dmitrijeva, Daniela Gaio, Nicolas Näpflin and Christian von Mering. University of Zurich.: MicrobeAtlas 1.0 beta . |
| #125438 | Julia Koblitz, Lorenz Christian Reimer, Rüdiger Pukall, Jörg Overmann: Predicting bacterial phenotypic traits through improved machine learning using high-quality, curated datasets. 2024 ( DOI 10.1101/2024.08.12.607695 ) |
| #125439 | Philipp Münch, René Mreches, Martin Binder, Hüseyin Anil Gündüz, Xiao-Yin To, Alice McHardy: deepG: Deep Learning for Genome Sequence Data. R package version 0.3.1 . |
| #126262 | A. Lissin, I. Schober, J. F. Witte, H. Lüken, A. Podstawka, J. Koblitz, B. Bunk, P. Dawyndt, P. Vandamme, P. de Vos, J. Overmann, L. C. Reimer: StrainInfo—the central database for linked microbial strain identifiers. ( DOI 10.1093/database/baaf059 ) |
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