Caloranaerobacter azorensis MV1087 is an anaerobe bacterium that was isolated from deep-sea hydrothermal chimney.
anaerobe genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Bacillota |
| Class Clostridia |
| Order Tissierellales |
| Family Thermohalobacteraceae |
| Genus Caloranaerobacter |
| Species Caloranaerobacter azorensis |
| Full scientific name Caloranaerobacter azorensis Wery et al. 2001 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 4937 | MARINITOGA MEDIUM (DSMZ Medium 904) | Medium recipe at MediaDive | Name: MARINITOGA MEDIUM (DSMZ Medium 904) Composition: Sea Salt 30.0 g/l PIPES 6.0 g/l D-Glucose 2.5 g/l Tryptone 1.0 g/l Yeast extract 1.0 g/l Na2S x 9 H2O 0.5 g/l L-Cysteine HCl x H2O 0.5 g/l Sodium resazurin 0.0005 g/l Distilled water |
| @ref | Growth | Type | Temperature (°C) | |
|---|---|---|---|---|
| 4937 | positive | growth | 65 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Environmental | #Aquatic | #Hydrothermal vent | |
| #Environmental | #Aquatic | #Marine | |
| #Condition | #Thermophilic (>45°C) | - |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | Latitude | Longitude | |
|---|---|---|---|---|---|---|---|---|
| 4937 | deep-sea hydrothermal chimney | Mid-Atlantic Ridge, Lucky Strike hydrothermal vent site, depth 1650 m | Portugal | PRT | Europe | 37.2833 | -32.2667 37.2833/-32.2667 |
Global distribution of 16S sequence AJ272422 (>99% sequence identity) for Caloranaerobacter azorensis subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | IMG-taxon 2585428077 annotated assembly for Caloranaerobacter azorensis DSM 13643 | scaffold | 1121264 | 47.21 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 4937 | Anaerobic thermophile MV1087 16S rRNA gene | AJ272422 | 1443 | 1121264 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 4937 | 27 | thermal denaturation, midpoint method (Tm) |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | anaerobe | 100.00 | no |
| 125439 | gram_stain | BacteriaNetⓘ | variable | 74.50 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 74.80 | no |
| 125439 | spore_formation | BacteriaNetⓘ | yes | 74.20 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 60.11 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 93.91 | yes |
| 125438 | aerobic | aerobicⓘ | no | 98.03 | no |
| 125438 | spore-forming | spore-formingⓘ | yes | 65.66 | no |
| 125438 | thermophilic | thermophileⓘ | yes | 63.36 | no |
| 125438 | flagellated | motile2+ⓘ | yes | 72.01 | no |
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| Phylogeny | Caloranaerobacter ferrireducens sp. nov., an anaerobic, thermophilic, iron (III)-reducing bacterium isolated from deep-sea hydrothermal sulfide deposits. | Zeng X, Zhang Z, Li X, Jebbar M, Alain K, Shao Z | Int J Syst Evol Microbiol | 10.1099/ijs.0.000165 | 2015 | |
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| Phylogeny | Caloranaerobacter azorensis gen. nov., sp. nov., an anaerobic thermophilic bacterium isolated from a deep-sea hydrothermal vent. | Wery N, Moricet JM, Cueff V, Jean J, Pignet P, Lesongeur F, Cambon-Bonavita MA, Barbier G | Int J Syst Evol Microbiol | 10.1099/00207713-51-5-1789 | 2001 |
| #4937 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 13643 |
| #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) . |
| #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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