Eubacterium tarantellae 87 is an anaerobe, rod-shaped animal pathogen that forms rhizoid colonies and was isolated from black mullet brain.
rod-shaped colony-forming anaerobe animal pathogen genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Bacillota |
| Class Clostridia |
| Order Eubacteriales |
| Family Eubacteriaceae |
| Genus Eubacterium |
| Species Eubacterium tarantellae |
| Full scientific name Eubacterium tarantellae corrig. Udey et al. 1977 (Approved Lists 1980) |
| Synonyms (2) |
| @ref | Cell length | Cell width | Cell shape | Motility | |
|---|---|---|---|---|---|
| 43779 | 10-17 µm | 1.3-1.6 µm | rod-shaped |
| @ref | Colony size | Colony color | Colony shape | Medium used | Type of hemolysis | Hemolysis ability | |
|---|---|---|---|---|---|---|---|
| 43779 | 2-5 mm | Translucent, colourless | rhizoid | BHIA | |||
| 43779 | Sheep blood agar | beta | 1 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 1565 | CHOPPED MEAT MEDIUM WITH CARBOHYDRATES (DSMZ Medium 110) | Medium recipe at MediaDive | Name: CHOPPED MEAT MEDIUM WITH CARBOHYDRATES (DSMZ Medium 110) Composition: Ground beef 500.0 g/l Casitone 30.0 g/l Agar 15.0 g/l K2HPO4 5.0 g/l Yeast extract 5.0 g/l D-Glucose 4.0 g/l Starch 1.0 g/l Maltose 1.0 g/l Cellobiose 1.0 g/l L-Cysteine HCl 0.5 g/l Ethanol 0.19 g/l Vitamin K3 0.05 g/l Hemin 0.005 g/l Sodium resazurin 0.0005 g/l Vitamin K1 NaOH Distilled water | ||
| 43779 | BHIA | ||||
| 43779 | Sheep blood agar |
| @ref | Ability | Type | PH | |
|---|---|---|---|---|
| 43779 | positive | growth | 5.6-8 |
Global distribution of 16S sequence FR733677 (>99% sequence identity) for Clostridium tarantellae subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM929572v1 assembly for Clostridium tarantellae DSM 3997 | contig | 39493 | 0 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | facultative anaerobe | 96.75 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 61.17 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 71.48 | no |
| 125439 | spore_formation | BacteriaNetⓘ | yes | 63.79 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 73.08 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 92.21 | yes |
| 125438 | spore-forming | spore-formingⓘ | yes | 69.17 | no |
| 125438 | aerobic | aerobicⓘ | no | 98.15 | yes |
| 125438 | thermophilic | thermophileⓘ | no | 89.64 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 73.48 | yes |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Genetics | Genome Sequence of the Fish Brain Bacterium Clostridium tarantellae. | Bano L, Kiel M, Sales G, Doxey AC, Mansfield MJ, Wami HT, Schiavone M, Rossetto O, Pirazzini M, Dobrindt U, Montecucco C | Microbiol Resour Announc | 10.1128/MRA.01575-19 | 2020 |
| #1565 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 3997 |
| #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 ) |
| #20218 | Verslyppe, B., De Smet, W., De Baets, B., De Vos, P., Dawyndt P.: StrainInfo introduces electronic passports for microorganisms.. Syst Appl Microbiol. 37: 42 - 50 2014 ( DOI 10.1016/j.syapm.2013.11.002 , PubMed 24321274 ) |
| #43779 | Paul A. Lawson, Fred A. Rainey: Proposal to restrict the genus Clostridium Prazmowski to Clostridium butyricum and related species. IJSEM 66: 1009 - 1016 2016 ( DOI 10.1099/ijsem.0.000824 , PubMed 26643615 ) |
| #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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