Streptococcus pyogenes CCUG 12753 is a bacterium that was isolated from Human skin lesions.
genome sequence Bacteria| @ref 20215 |
|
|
| Domain Bacteria |
| Phylum Bacillota |
| Class Bacilli |
| Order Lactobacillales |
| Family Streptococcaceae |
| Genus Streptococcus |
| Species Streptococcus pyogenes |
| Full scientific name Streptococcus pyogenes Rosenbach 1884 (Approved Lists 1980) |
| @ref | Motility | Confidence | |
|---|---|---|---|
| 125438 | 93 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Host | #Human | - | |
| #Host Body-Site | #Other | #Wound | |
| #Host Body-Site | #Organ | #Skin, Nail, Hair | |
| #Infection | #Patient | - |
| 45815 | Sample typeHuman skin lesions |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|
| 66792 | 43024_B01 assembly for Streptococcus pyogenes NCTC10871 | contig | 1314 | 78.8 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 97.80 | no |
| 125439 | motility | BacteriaNetⓘ | no | 85.60 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 73.70 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | microaerophile | 96.10 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 85.98 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 92.69 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 86.97 | no |
| 125438 | aerobic | aerobicⓘ | no | 96.94 | no |
| 125438 | thermophilic | thermophileⓘ | no | 96.41 | no |
| 125438 | flagellated | motile2+ⓘ | no | 93.00 | no |
| Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|
| Real-time detection of volatile metabolites enabling species-level discrimination of bacterial biofilms associated with wound infection. | Slade EA, Thorn RMS, Young AE, Reynolds DM. | J Appl Microbiol | 10.1111/jam.15313 | 2022 |
| #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 ) |
| #45815 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 12753 |
| #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 ) |
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If you want to cite this particular strain cite the following doi:
https://doi.org/10.13145/bacdive142514.20251217.10
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BacDive in 2025: the core database for prokaryotic strain data