Brevibacterium casei 108 is a bacterium that was isolated from peritoneal dialysate.
genome sequence 16S 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 | |
|---|---|---|---|---|---|
| 3672 | 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) | |
|---|---|---|---|---|
| 3672 | positive | growth | 37 |
| 3672 | Sample typeperitoneal dialysate |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|
| 124043 | ASM1612715v1 assembly for Brevibacterium casei FDAARGOS_990 | complete | 33889 | 96.07 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 20218 | Brevibacterium sanguinis partial 16S rRNA gene, strain DSM 9657 | AJ628352 | 1296 | 232444 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | facultative anaerobe | 91.16 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 98.31 | no |
| 125439 | motility | BacteriaNetⓘ | no | 91.61 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 83.00 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 91.69 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 96.53 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 73.51 | no |
| 125438 | aerobic | aerobicⓘ | yes | 88.99 | no |
| 125438 | thermophilic | thermophileⓘ | no | 97.50 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 91.50 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Pathogenicity | Biocontrol of Occurrence Ochratoxin A in Wine: A Review. | Zjalic S, Markov K, Loncar J, Jakopovic Z, Beccaccioli M, Reverberi M. | Toxins (Basel) | 10.3390/toxins16060277 | 2024 | |
| Phylogeny | Identification of a novel Brevibacterium species isolated from humans and description of Brevibacterium sanguinis sp. nov. | Wauters G, Haase G, Avesani V, Charlier J, Janssens M, Van Broeck J, Delmee M. | J Clin Microbiol | 10.1128/jcm.42.6.2829-2832.2004 | 2004 |
| #3672 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 9657 |
| #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 ) |
| #20218 | Verslyppe, B., De Smet, W., De Baets, B., De Vos, P., Dawyndt P.: StrainInfo introduces electronic passports for microorganisms.. Syst Appl Microbiol. 37: 42 - 50 2014 ( DOI 10.1016/j.syapm.2013.11.002 , PubMed 24321274 ) |
| #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 ) |
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