Marinitoga piezophila KA3 is an anaerobe bacterium that was isolated from deep-sea hydrothermal chimney.
anaerobe genome sequence 16S sequence Bacteria| @ref 20215 |
|
|
| Domain Bacteria |
| Phylum Thermotogota |
| Class Thermotogae |
| Order Petrotogales |
| Family Petrotogaceae |
| Genus Marinitoga |
| Species Marinitoga piezophila |
| Full scientific name Marinitoga piezophila Alain et al. 2002 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 5299 | MARINITOGA PIEZOPHILA MEDIUM (DSMZ Medium 945) | Medium recipe at MediaDive | Name: MARINITOGA PIEZOPHILA MEDIUM (DSMZ Medium 945) Composition: NaCl 30.0 g/l Sulfur 10.0 g/l Trypticase peptone 5.0 g/l Yeast extract 5.0 g/l MES 1.95 g/l NH4Cl 1.0 g/l Na-acetate 0.83 g/l Na2S x 9 H2O 0.3 g/l L-Cysteine HCl x H2O 0.3 g/l K2HPO4 0.3 g/l KH2PO4 0.3 g/l MgCl2 x 6 H2O 0.2 g/l CaCl2 x 2 H2O 0.1 g/l KCl 0.1 g/l Sodium resazurin 0.0005 g/l Distilled water |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Environmental | #Aquatic | #Hydrothermal vent | |
| #Environmental | #Aquatic | #Marine | |
| #Condition | #Thermophilic (>45°C) | - |
Global distribution of 16S sequence AF326121 (>99% sequence identity) for Marinitoga piezophila subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM25513v1 assembly for Marinitoga piezophila KA3 | complete | 443254 | 97.2 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 5299 | Thermotogales str. KA3 16S ribosomal RNA gene, partial sequence | AF326121 | 1443 | 443254 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 5299 | 29 | thermal denaturation, midpoint method (Tm) |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate anaerobe | 97.99 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 88.40 | no |
| 125439 | motility | BacteriaNetⓘ | no | 63.71 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 96.65 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 70.17 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 94.58 | yes |
| 125438 | aerobic | aerobicⓘ | no | 96.72 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 70.46 | no |
| 125438 | thermophilic | thermophileⓘ | yes | 74.90 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 59.27 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| A Continuous Culture System for Assessing Microbial Activities in the Piezosphere. | Foustoukos DI, Perez-Rodriguez I. | Appl Environ Microbiol | 10.1128/aem.01215-15 | 2015 | ||
| Phylogeny | Marinitoga piezophila sp. nov., a rod-shaped, thermo-piezophilic bacterium isolated under high hydrostatic pressure from a deep-sea hydrothermal vent. | Alain K, Marteinsson VT, Miroshnichenko ML, Bonch-Osmolovskaya EA, Prieur D, Birrien JL | Int J Syst Evol Microbiol | 10.1099/00207713-52-4-1331 | 2002 |
| #5299 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 14283 |
| #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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