Fusobacterium necrogenes CCUG 4949 is an anaerobe, spore-forming, mesophilic bacterium that was isolated from Duck caecum.
spore-forming anaerobe mesophilic genome sequence 16S sequence Bacteria|
|
| Domain Bacteria |
| Phylum Fusobacteriota |
| Class Fusobacteriia |
| Order Fusobacteriales |
| Family Fusobacteriaceae |
| Genus Fusobacterium |
| Species Fusobacterium necrogenes |
| Full scientific name Fusobacterium necrogenes (Weinberg et al. 1937) Moore and Holdeman 1970 (Approved Lists 1980) |
| Synonyms (1) |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 44816 | positive | growth | 37 | mesophilic |
| 44816 | Sample typeDuck caecum |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 124043 | Fusobacterium necrogenes 16S rRNA gene, strain ATCC 25556 | AJ867034 | 1455 | 858 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | yes | 64.10 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 69.80 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 80.70 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | anaerobe | 99.90 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 85.55 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 92.95 | yes |
| 125438 | aerobic | aerobicⓘ | no | 97.82 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 72.08 | no |
| 125438 | thermophilic | thermophileⓘ | no | 89.70 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 82.70 | no |
| @ref | Straininfo | Culture collections | |
|---|---|---|---|
| 97329 | 38595 | ATCC 25556, NCTC 10723, CCUG 4949 |
| Culture collection no. | |
|---|---|
| CCUG 4949 | |
| ATCC 25556 | |
| NCTC 10723 |
| #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 ) |
| #44816 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 4949 |
| #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) . |
| #97329 | Reimer, L.C., Lissin, A.,Schober, I., Witte,J.F., Podstawka, A., Lüken, H., Bunk, B.,Overmann, J.: StrainInfo: A central database for resolving microbial strain identifiers . ( DOI 10.60712/SI-ID38595.1 ) |
| #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 ) |
| #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 . |
You found an error in BacDive? Please tell us about it!
Note that changes will be reviewed and judged. If your changes are legitimate, changes will occur within the next BacDive update. Only proposed changes supported by the according reference will be reviewed. The BacDive team reserves the right to reject proposed changes.
Successfully sent