BK17S-3-a9 is an anaerobe archaeon that was isolated from hydrothermal site off Palaeochori Bay.
anaerobe genome sequence Archaea| @ref 20215 |
|
|
| Domain Archaea |
| Phylum Methanobacteriota |
| Class Thermococci |
| Order Thermococcales |
| Family Thermococcaceae |
| Genus Thermococcus |
| Full scientific name Thermococcus Zillig 1983 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 4689 | 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 |
| @ref | Growth | Type | Temperature (°C) | |
|---|---|---|---|---|
| 4689 | positive | growth | 85 |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 4689 | hydrothermal site off Palaeochori Bay | Aegean Sea, Milos | Greece | GRC | Europe |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate anaerobe | 99.80 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 68.45 | no |
| 125439 | motility | BacteriaNetⓘ | no | 62.19 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 97.07 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 67.86 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 84.81 | yes |
| 125438 | aerobic | aerobicⓘ | no | 85.97 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 93.26 | no |
| 125438 | thermophilic | thermophileⓘ | yes | 86.67 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 85.58 | no |
| #4689 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 12593 |
| #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) . |
| #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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