Enterococcus faecalis KB1 is a bacterium that was isolated from TCRMOG92-106/I-As transgenic SJL/J mouse.
genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Bacillota |
| Class Bacilli |
| Order Lactobacillales |
| Family Enterococcaceae |
| Genus Enterococcus |
| Species Enterococcus faecalis |
| Full scientific name Enterococcus faecalis (Andrewes and Horder 1906) Schleifer and Kilpper-Bälz 1984 |
| Synonyms (1) |
| 22235 | Incubation period1-2 days |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 22235 | 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) | |
|---|---|---|---|---|
| 22235 | positive | growth | 30 |
| @ref | Oxygen tolerance | Confidence | |
|---|---|---|---|
| 125439 | microaerophile | 97.4 |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 68369 | 17128 ChEBI | adipate | - | assimilation | from API 20NE |
| 68369 | 29016 ChEBI | arginine | + | hydrolysis | from API 20NE |
| 68369 | 17634 ChEBI | D-glucose | - | assimilation | from API 20NE |
| 68369 | 16899 ChEBI | D-mannitol | - | assimilation | from API 20NE |
| 68369 | 16024 ChEBI | D-mannose | - | assimilation | from API 20NE |
| 68369 | 27689 ChEBI | decanoate | - | assimilation | from API 20NE |
| 68369 | 4853 ChEBI | esculin | + | hydrolysis | from API 20NE |
| 68369 | 5291 ChEBI | gelatin | + | hydrolysis | from API 20NE |
| 68369 | 24265 ChEBI | gluconate | - | assimilation | from API 20NE |
| 68369 | 30849 ChEBI | L-arabinose | - | assimilation | from API 20NE |
| 68369 | 25115 ChEBI | malate | - | assimilation | from API 20NE |
| 68369 | 59640 ChEBI | N-acetylglucosamine | - | assimilation | from API 20NE |
| 68369 | 17632 ChEBI | nitrate | - | reduction | from API 20NE |
| 68369 | 27897 ChEBI | tryptophan | - | energy source | from API 20NE |
| 68369 | 16199 ChEBI | urea | - | hydrolysis | from API 20NE |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 22235 | TCRMOG92-106/I-As transgenic (RR) SJL/J mouse | Munich | Germany | DEU | Europe |
Global distribution of 16S sequence KR364769 (>99% sequence identity) for Enterococcus from Microbeatlas ![]()
| @ref | Biosafety level | Biosafety level comment | |
|---|---|---|---|
| 22235 | 2 | Risk group (German classification) |
| @ref | Name | Strain number | |
|---|---|---|---|
| 124042 | Enterococcus phage vB_EfaS_Strempel1 | DSM 32036 | |
| 124042 | Enterococcus phage vB_EfaP-Strempel2 | DSM 32036 | |
| 124042 | Enterococcus phage vB_EfaP_Strempel3 | DSM 32036 | |
| 124042 | Enterococcus phage vB_EfaP_Strempel4 | DSM 32036 | |
| 124042 | Enterococcus phage vB_EfaP_Strempel5 | DSM 32036 | |
| 124042 | Enterococcus phage vB_EfaS_Strempel6 | DSM 32036 |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM168905v2 assembly for Enterococcus faecalis KB1 | complete | 1351 | 98.68 | ||||
| 66792 | ASM222162v2 assembly for Enterococcus faecalis KB1 | chromosome | 1351 | 88.32 | ||||
| 66792 | ASM1669682v1 assembly for Enterococcus faecalis KB1 | chromosome | 1351 | 88.23 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 22235 | Enterococcus faecalis strain KB1 16S ribosomal RNA gene, partial sequence | KR364769 | 1548 | 1351 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 55.90 | no |
| 125439 | motility | BacteriaNetⓘ | no | 54.80 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 69.10 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | microaerophile | 97.40 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 88.66 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 77.61 | no |
| 125438 | aerobic | aerobicⓘ | no | 92.73 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 75.60 | no |
| 125438 | thermophilic | thermophileⓘ | no | 94.00 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 88.00 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Bacteriophages targeting protective commensals impair resistance against Salmonella Typhimurium infection in gnotobiotic mice. | von Strempel A, Weiss AS, Wittmann J, Salvado Silva M, Ring D, Wortmann E, Clavel T, Debarbieux L, Kleigrewe K, Stecher B. | PLoS Pathog | 10.1371/journal.ppat.1011600 | 2023 | ||
| Metabolism | The gut bacterium Extibacter muris produces secondary bile acids and influences liver physiology in gnotobiotic mice. | Streidl T, Karkossa I, Segura Munoz RR, Eberl C, Zaufel A, Plagge J, Schmaltz R, Schubert K, Basic M, Schneider KM, Afify M, Trautwein C, Tolba R, Stecher B, Doden HL, Ridlon JM, Ecker J, Moustafa T, von Bergen M, Ramer-Tait AE, Clavel T. | Gut Microbes | 10.1080/19490976.2020.1854008 | 2021 | |
| The human intestinal bacterium Eggerthella lenta influences gut metabolomes in gnotobiotic mice | Viehof A, Haange S, Streidl T, Schubert K, Engelmann B, Haller D, Rolle-Kampczyk U, von Bergen M, Clavel T. | Microbiome Res Rep | 2024 | |||
| Reproducible Colonization of Germ-Free Mice With the Oligo-Mouse-Microbiota in Different Animal Facilities. | Eberl C, Ring D, Munch PC, Beutler M, Basic M, Slack EC, Schwarzer M, Srutkova D, Lange A, Frick JS, Bleich A, Stecher B. | Front Microbiol | 10.3389/fmicb.2019.02999 | 2019 | ||
| Complete Genome Sequences of 12 Species of Stable Defined Moderately Diverse Mouse Microbiota 2. | Uchimura Y, Wyss M, Brugiroux S, Limenitakis JP, Stecher B, McCoy KD, Macpherson AJ. | Genome Announc | 10.1128/genomea.00951-16 | 2016 | ||
| Proof-of-Concept Standardized Approach Using a Single-Disk Method Analogous to Antibiotic Disk Diffusion Assays for Routine Phage Susceptibility Testing in Diagnostic Laboratories. | Skusa R, Gross J, Kohlen J, Schafmayer C, Ekat K, Podbielski A, Warnke P. | Appl Environ Microbiol | 10.1128/aem.00309-22 | 2022 | ||
| Nutritional and host environments determine community ecology and keystone species in a synthetic gut bacterial community. | Weiss AS, Niedermeier LS, von Strempel A, Burrichter AG, Ring D, Meng C, Kleigrewe K, Lincetto C, Hubner J, Stecher B. | Nat Commun | 10.1038/s41467-023-40372-0 | 2023 | ||
| Microbiota-induced tissue signals regulate ILC3-mediated antigen presentation. | Lehmann FM, von Burg N, Ivanek R, Teufel C, Horvath E, Peter A, Turchinovich G, Staehli D, Eichlisberger T, Gomez de Aguero M, Coto-Llerena M, Prchal-Murphy M, Sexl V, Bentires-Alj M, Mueller C, Finke D. | Nat Commun | 10.1038/s41467-020-15612-2 | 2020 | ||
| Metabolism | In vitro and in vivo characterization of Clostridium scindens bile acid transformations. | Marion S, Studer N, Desharnais L, Menin L, Escrig S, Meibom A, Hapfelmeier S, Bernier-Latmani R. | Gut Microbes | 10.1080/19490976.2018.1549420 | 2019 | |
| Metabolism | Functional Intestinal Bile Acid 7alpha-Dehydroxylation by Clostridium scindens Associated with Protection from Clostridium difficile Infection in a Gnotobiotic Mouse Model. | Studer N, Desharnais L, Beutler M, Brugiroux S, Terrazos MA, Menin L, Schurch CM, McCoy KD, Kuehne SA, Minton NP, Stecher B, Bernier-Latmani R, Hapfelmeier S. | Front Cell Infect Microbiol | 10.3389/fcimb.2016.00191 | 2016 |
| #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 ) |
| #22235 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 32036 |
| #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) . |
| #68369 | Automatically annotated from API 20NE . |
| #69479 | João F Matias Rodrigues, Janko Tackmann,Gregor Rot, Thomas SB Schmidt, Lukas Malfertheiner, Mihai Danaila,Marija Dmitrijeva, Daniela Gaio, Nicolas Näpflin and Christian von Mering. University of Zurich.: MicrobeAtlas 1.0 beta . |
| #124042 | Johannes Wittmann, Clara Rolland, Lorenz Reimer, Joaquim Sardà: PhageDive . |
| #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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