Clostridium psychrophilum A-1/C-an/I is an anaerobe, psychrophilic prokaryote that was isolated from microbial mat sample.
anaerobe psychrophilic genome sequence 16S sequence| @ref 20215 |
|
|
| Domain Bacillati |
| Phylum Bacillota |
| Class Clostridia |
| Order Eubacteriales |
| Family Clostridiaceae |
| Genus Clostridium |
| Species Clostridium psychrophilum |
| Full scientific name Clostridium psychrophilum Spring et al. 2003 |
| 5250 | Incubation period>14 days |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 5250 | WILKINS-CHALGREN ANAEROBE BROTH (DSMZ Medium 339) | Medium recipe at MediaDive | Name: WILKINS-CHALGREN ANAEROBE BROTH (DSMZ Medium 339) Composition: dehydrated Wilkins-Chalgren medium 33.0 g/l L-Cysteine HCl 0.3 g/l Sodium resazurin 0.0005 g/l Distilled water |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 5250 | positive | growth | 4 | psychrophilic |
| 5250 | Oxygen toleranceanaerobe |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | Latitude | Longitude | |
|---|---|---|---|---|---|---|---|---|
| 5250 | microbial mat sample | McMurdo Dry Valley Region, Lake Fryxell | Antarctica | ATA | Australia and Oceania | -77.6 | 163.1 -77.6/163.1 |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM1886170v1 assembly for Clostridium psychrophilum DSM 14207 | contig | 132926 | 18.93 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 5250 | Clostridium aff. estertheticum A-1/C-an/I partial 16S rRNA gene | AJ297443 | 1433 | 132926 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 5250 | 31.8 | high performance liquid chromatography (HPLC) |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | yes | 77.70 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 75.90 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 69.40 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | anaerobe | 83.20 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 69.67 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 87.72 | yes |
| 125438 | spore-forming | spore-formingⓘ | yes | 77.62 | no |
| 125438 | aerobic | aerobicⓘ | no | 96.69 | yes |
| 125438 | thermophilic | thermophileⓘ | no | 85.13 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 76.16 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Metabolism | The polar lipids of Clostridium psychrophilum, an anaerobic psychrophile. | Guan Z, Tian B, Perfumo A, Goldfine H. | Biochim Biophys Acta | 10.1016/j.bbalip.2013.02.004 | 2013 | |
| Phylogeny | Characterization of novel psychrophilic clostridia from an Antarctic microbial mat: description of Clostridium frigoris sp. nov., Clostridium lacusfryxellense sp. nov., Clostridium bowmanii sp. nov. and Clostridium psychrophilum sp. nov. and reclassification of Clostridium laramiense as Clostridium estertheticum subsp. laramiense subsp. nov. | Spring S, Merkhoffer B, Weiss N, Kroppenstedt RM, Hippe H, Stackebrandt E | Int J Syst Evol Microbiol | 10.1099/ijs.0.02554-0 | 2003 |
| #5250 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 14207 |
| #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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https://doi.org/10.13145/bacdive2825.20251217.10
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