Clostridium ramosum CCUG 53777 is an anaerobe bacterium that was isolated from Human blood,67-yr-old woman.
anaerobe Bacteria| @ref 20215 |
|
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| Domain Bacteria |
| Phylum Bacillota |
| Class Clostridia |
| Order Eubacteriales |
| Family Clostridiaceae |
| Genus Clostridium |
| Species Clostridium ramosum |
| Full scientific name Clostridium ramosum (Veillon and Zuber 1898) Holdeman et al. 1971 (Approved Lists 1980) |
| Synonyms (3) |
| BacDive ID | Other strains from Clostridium ramosum (7) | Type strain |
|---|---|---|
| 148490 | C. ramosum CCUG 35540 | |
| 148608 | C. ramosum CCUG 35705 | |
| 150967 | C. ramosum CCUG 42893 | |
| 151816 | C. ramosum CCUG 44972 | |
| 151840 | C. ramosum CCUG 45030 | |
| 152520 | C. ramosum CCUG 46995 | |
| 165123 | C. ramosum JCM 5235, ATCC 13937, NCTC 10474 |
| @ref | Growth | Type | Temperature (°C) | |
|---|---|---|---|---|
| 60010 | positive | growth | 37 |
| 60010 | Oxygen toleranceanaerobe |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Host | #Human | #Female | |
| #Host Body Product | #Fluids | #Blood | |
| #Infection | #Patient | - |
| @ref | Sample type | Sampling date | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|---|
| 60010 | Human blood,67-yr-old woman | 2006-11-01 | Sundsvall | Sweden | SWE | Europe |
| #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 ) |
| #60010 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 53777 |
| #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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If you want to cite this particular strain cite the following doi:
https://doi.org/10.13145/bacdive154479.20251217.10
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data