Thermococcus gammatolerans EJ3 is an anaerobe, hyperthermophilic prokaryote that was isolated from hydrothermal chimney sample.
anaerobe hyperthermophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Archaea |
| Phylum Methanobacteriota |
| Class Thermococci |
| Order Thermococcales |
| Family Thermococcaceae |
| Genus Thermococcus |
| Species Thermococcus gammatolerans |
| Full scientific name Thermococcus gammatolerans Jolivet et al. 2003 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 5769 | MARINE THERMOCOCCUS MEDIUM (DSMZ Medium 760) | Medium recipe at MediaDive | Name: MARINE THERMOCOCCUS MEDIUM (DSMZ Medium 760) Composition: NaCl 19.45 g/l MgCl2 5.9 g/l Bacto peptone 5.0 g/l Na2SO4 3.24 g/l CaCl2 1.8 g/l Yeast extract 1.0 g/l KCl 0.55 g/l NaHCO3 0.16 g/l Fe(III) citrate 0.1 g/l KBr 0.08 g/l SrCl2 0.034 g/l H3BO3 0.022 g/l Na2HPO4 0.008 g/l Na-silicate 0.004 g/l NaF 0.0024 g/l (NH4)NO3 0.0016 g/l Distilled water | ||
| 5769 | YPS MEDIUM (DSMZ Medium 990) | Medium recipe at MediaDive | Name: YPS MEDIUM (DSMZ Medium 990) Composition: Sea Salt 35.0 g/l Elemental sulphur 5.0 g/l Peptone 4.0 g/l PIPES 3.46 g/l Yeast extract 1.0 g/l NH4Cl 0.5 g/l KH2PO4 0.35 g/l Na2S x 9 H2O 0.25 g/l CaCl2 0.2 g/l FeCl3 0.0067 g/l Na2WO4 0.0029 g/l Resazurin 0.0001 g/l Distilled water |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM2236v1 assembly for Thermococcus gammatolerans EJ3 EJ3; DSM 15229 | complete | 593117 | 99.23 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 5769 | Thermococcus gammatolerans 16S ribosomal RNA gene, partial sequence | AF479014 | 1370 | 593117 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 86.10 | no |
| 125439 | motility | BacteriaNetⓘ | no | 69.20 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 59.10 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | anaerobe | 99.70 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 69.82 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 81.96 | yes |
| 125438 | aerobic | aerobicⓘ | no | 85.70 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 91.47 | no |
| 125438 | thermophilic | thermophileⓘ | yes | 76.40 | no |
| 125438 | flagellated | motile2+ⓘ | no | 79.08 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Metabolism | Role of Mn2+ and compatible solutes in the radiation resistance of thermophilic bacteria and archaea. | Webb KM, DiRuggiero J. | Archaea | 10.1155/2012/845756 | 2012 | |
| Phylogeny | Thermococcus nautili sp. nov., a hyperthermophilic archaeon isolated from a hydrothermal deep-sea vent. | Gorlas A, Croce O, Oberto J, Gauliard E, Forterre P, Marguet E | Int J Syst Evol Microbiol | 10.1099/ijs.0.060376-0 | 2014 | |
| Phylogeny | Thermococcus gammatolerans sp. nov., a hyperthermophilic archaeon from a deep-sea hydrothermal vent that resists ionizing radiation. | Jolivet E, L'Haridon S, Corre E, Forterre P, Prieur D | Int J Syst Evol Microbiol | 10.1099/ijs.0.02503-0 | 2003 |
| #5769 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 15229 |
| #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; |
| #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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