Escherichia coli E6912 is a mesophilic prokaryote of the family Enterobacteriaceae.
mesophilic genome sequence| @ref 20215 |
|
|
| Domain Pseudomonadati |
| Phylum Pseudomonadota |
| Class Gammaproteobacteria |
| Order Enterobacterales |
| Family Enterobacteriaceae |
| Genus Escherichia |
| Species Escherichia coli |
| Full scientific name Escherichia coli (Migula 1895) Castellani and Chalmers 1919 (Approved Lists 1980) |
| Synonyms (1) |
| @ref | Gram stain | Confidence | |
|---|---|---|---|
| 125438 | negative | 99.75 |
| @ref | Name | Growth | Composition | Medium link | |
|---|---|---|---|---|---|
| 34805 | MEDIUM 3 - Columbia agar | Columbia agar (39.000 g);distilled water (1000.000 ml) | |||
| 34805 | CIP Medium 3 | Medium recipe at CIP |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 34805 | positive | growth | 30 | mesophilic |
| @ref | Biosafety level | Biosafety level comment | |
|---|---|---|---|
| 34805 | 2 | Risk group (French classification) |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|
| 66792 | 38891_A01 assembly for Escherichia coli NCTC9855 | contig | 562 | 77.53 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 78.80 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 62.30 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 80.60 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | aerobe | 88.50 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 99.75 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 95.04 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 87.45 | no |
| 125438 | aerobic | aerobicⓘ | no | 60.05 | no |
| 125438 | thermophilic | thermophileⓘ | no | 98.00 | no |
| 125438 | flagellated | motile2+ⓘ | yes | 74.86 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Enzymology | Rapid detection of members of the family Enterobacteriaceae by a monoclonal antibody. | Levasseur S, Husson MO, Leitz R, Merlin F, Laurent F, Peladan F, Drocourt JL, Leclerc H, Van Hoegaerden M. | Appl Environ Microbiol | 10.1128/aem.58.5.1524-1529.1992 | 1992 |
| #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 ) |
| #34805 | Collection of Institut Pasteur ; Curators of the CIP; CIP 62.22 |
| #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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