Staphylococcus aureus MS 63 is a mesophilic prokaryote that was isolated from Human, Unknown source.
mesophilic genome sequence| @ref 20215 |
|
|
| Domain Bacillati |
| Phylum Bacillota |
| Class Bacilli |
| Order Caryophanales |
| Family Staphylococcaceae |
| Genus Staphylococcus |
| Species Staphylococcus aureus |
| Full scientific name Staphylococcus aureus Rosenbach 1884 (Approved Lists 1980) |
| Synonyms (2) |
| @ref | Gram stain | Confidence | |
|---|---|---|---|
| 125439 | positive | 96.5 |
| @ref | Name | Growth | Composition | Medium link | |
|---|---|---|---|---|---|
| 39874 | MEDIUM 3 - Columbia agar | Columbia agar (39.000 g);distilled water (1000.000 ml) | |||
| 39874 | CIP Medium 72 | Medium recipe at CIP | |||
| 39874 | CIP Medium 3 | Medium recipe at CIP |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 39874 | positive | growth | 37 | mesophilic |
| @ref | Sample type | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|
| 39874 | Human, Unknown source | Australia | AUS | Australia and Oceania |
| @ref | Biosafety level | Biosafety level comment | |
|---|---|---|---|
| 39874 | 2 | Risk group (French classification) |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|
| 66792 | 40853_A01 assembly for Staphylococcus aureus NCTC6137 | contig | 1280 | 78.16 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | facultative anaerobe | 94.70 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 96.50 | no |
| 125439 | motility | BacteriaNetⓘ | no | 82.70 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 92.10 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 85.98 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 99.36 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 72.29 | no |
| 125438 | aerobic | aerobicⓘ | no | 51.30 | no |
| 125438 | thermophilic | thermophileⓘ | no | 94.74 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 80.39 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Enzymology | Quantification of bacterial groups within human fecal flora by oligonucleotide probe hybridization. | Sghir A, Gramet G, Suau A, Rochet V, Pochart P, Dore J. | Appl Environ Microbiol | 10.1128/aem.66.5.2263-2266.2000 | 2000 | |
| Quantitation of pneumococcal C polysaccharide in sputum samples from patients with presumptive pneumococcal pneumonia by enzyme immunoassay. | Parkinson AJ, Rabiego ME, Sepulveda C, Davidson M, Johnson C. | J Clin Microbiol | 10.1128/jcm.30.2.318-322.1992 | 1992 | ||
| Monoclonal antibodies show Listeria monocytogenes in necropsy tissue samples. | McLauchlin J, Black A, Green HT, Nash JQ, Taylor AG. | J Clin Pathol | 10.1136/jcp.41.9.983 | 1988 |
| #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 ) |
| #39874 | Collection of Institut Pasteur ; Curators of the CIP; CIP 65.15 |
| #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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