Streptococcus equinus CCUG 11666 is a bacterium that was isolated from Horse feces.
genome sequence Bacteria| @ref 20215 |
|
|
| Domain Bacteria |
| Phylum Bacillota |
| Class Bacilli |
| Order Lactobacillales |
| Family Streptococcaceae |
| Genus Streptococcus |
| Species Streptococcus equinus |
| Full scientific name Streptococcus equinus Andrewes and Horder 1906 (Approved Lists 1980) |
| Synonyms (1) |
| @ref | Gram stain | Confidence | |
|---|---|---|---|
| 125438 | positive | 90.733 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Host | #Mammals | #Equidae (Horse) | |
| #Host Body Product | #Gastrointestinal tract | #Feces (Stool) |
| 45593 | Sample typeHorse feces |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | 42880_B01 assembly for Streptococcus equinus NCTC10389 | complete | 1335 | 94.89 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 92.80 | no |
| 125439 | motility | BacteriaNetⓘ | no | 70.90 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 83.60 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 97.40 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 90.73 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 84.19 | no |
| 125438 | aerobic | aerobicⓘ | no | 98.03 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 85.07 | no |
| 125438 | thermophilic | thermophileⓘ | no | 97.50 | no |
| 125438 | flagellated | motile2+ⓘ | no | 89.50 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Cross-reactions between alpha-streptococci and Omniserum, a polyvalent pneumococcal serum, demonstrated by direct immunofluorescence, immunoelectroosmophoresis, and latex agglutination. | Holmberg H, Danielsson D, Hardie J, Krook A, Whiley R. | J Clin Microbiol | 10.1128/jcm.21.5.745-748.1985 | 1985 | ||
| Phylogeny | Identification of clinically relevant nonhemolytic Streptococci on the basis of sequence analysis of 16S-23S intergenic spacer region and partial gdh gene. | Nielsen XC, Justesen US, Dargis R, Kemp M, Christensen JJ. | J Clin Microbiol | 10.1128/jcm.01449-08 | 2009 |
| #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 ) |
| #45593 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 11666 |
| #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) . |
| #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/bacdive142327.20251217.10
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data