Brevibacterium casei 393 is a bacterium that was isolated from hip joint.
genome sequence Bacteria| @ref 20215 |
|
|
| Domain Bacteria |
| Phylum Actinomycetota |
| Class Actinomycetes |
| Order Micrococcales |
| Family Brevibacteriaceae |
| Genus Brevibacterium |
| Species Brevibacterium casei |
| Full scientific name Brevibacterium casei Collins et al. 1983 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 3673 | TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92) | Medium recipe at MediaDive | Name: TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92) Composition: Trypticase soy broth 30.0 g/l Agar 15.0 g/l Yeast extract 3.0 g/l Distilled water |
| @ref | Growth | Type | Temperature (°C) | |
|---|---|---|---|---|
| 3673 | positive | growth | 37 |
| @ref | Murein short key | Type | |
|---|---|---|---|
| 3673 | A31 | A1gamma m-Dpm-direct |
| 3673 | Sample typehip joint |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 124043 | ASM1602741v1 assembly for Brevibacterium casei FDAARGOS_902 | complete | 33889 | 97.05 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 83.37 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 91.45 | no |
| 125439 | motility | BacteriaNetⓘ | no | 81.84 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 89.48 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 91.00 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 96.37 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 76.05 | no |
| 125438 | aerobic | aerobicⓘ | yes | 88.91 | no |
| 125438 | thermophilic | thermophileⓘ | no | 97.50 | no |
| 125438 | flagellated | motile2+ⓘ | no | 90.50 | no |
| #3673 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 9658 |
| #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 ) |
| #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 . |
| #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 ) |
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
If you want to cite this particular strain cite the following doi:
https://doi.org/10.13145/bacdive1832.20260601.11
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data