Clostridium perfringens ES-MS 22 is an anaerobe human pathogen that was isolated from spacecraft-associated clean room class ISO 8, Herschel Space Observatory.
anaerobe human pathogen genome sequence 16S sequence Bacteria| @ref 20215 |
|
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| Domain Bacteria |
| Phylum Bacillota |
| Class Clostridia |
| Order Eubacteriales |
| Family Clostridiaceae |
| Genus Clostridium |
| Species Clostridium perfringens |
| Full scientific name Clostridium perfringens (Veillon and Zuber 1898) Hauduroy et al. 1937 (Approved Lists 1980) |
| Synonyms (2) |
| @ref: | 17129 |
| multimedia content: | DSM_30770.jpg |
| multimedia.multimedia content: | https://www.dsmz.de/microorganisms/photos/DSM_30770.jpg |
| intellectual property rights: | © Leibniz-Institut DSMZ |
| manual_annotation: | 1 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 17129 | 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 |
| @ref | Growth | Type | Temperature (°C) | |
|---|---|---|---|---|
| 17129 | positive | growth | 37 |
| 17129 | Oxygen toleranceanaerobe |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 17129 | spacecraft-associated clean room class ISO 8, Herschel Space Observatory | Noordwijk, European Space Research and Technology Centre | Netherlands | NLD | Europe |
Global distribution of 16S sequence EU888515 (>99% sequence identity) for Clostridium perfringens subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|
| 124043 | ASM1611773v1 assembly for Clostridium perfringens FDAARGOS_932 | chromosome | 1502 | 85.19 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 17129 | Clostridium perfringens strain ES_MS22c 16S ribosomal RNA gene, partial sequence | EU888515 | 1275 | 1502 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 75.18 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 87.34 | yes |
| 125438 | spore-forming | spore-formingⓘ | yes | 72.48 | no |
| 125438 | aerobic | aerobicⓘ | no | 97.22 | no |
| 125438 | thermophilic | thermophileⓘ | no | 93.82 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 67.04 | no |
| Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|
| Biological Contamination Prevention for Outer Solar System Moons of Astrobiological Interest: What Do We Need to Know? | Rettberg P, Antunes A, Brucato J, Cabezas P, Collins G, Haddaji A, Kminek G, Leuko S, McKenna-Lawlor S, Moissl-Eichinger C, Fellous JL, Olsson-Francis K, Pearce D, Rabbow E, Royle S, Saunders M, Sephton M, Spry A, Walter N, Wimmer Schweingruber R, Treuet JC. | Astrobiology | 10.1089/ast.2018.1996 | 2019 |
| #17129 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 30770 |
| #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 ) |
| #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 . |
| #124043 | Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy . |
| #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 ) |
| #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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BacDive in 2025: the core database for prokaryotic strain data