Escherichia coli CCUG 11319 is a bacterium of the family Enterobacteriaceae.
genome sequence Bacteria| @ref 20215 |
|
|
| Domain Bacteria |
| 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 | Oxygen tolerance | Confidence | |
|---|---|---|---|
| 125439 | obligate aerobe | 95.499 |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|
| 66792 | 42912_D02 assembly for Escherichia coli NCTC9013 | contig | 562 | 49.42 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 95.50 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 62.31 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 74.92 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 89.97 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 99.75 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 96.60 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 87.45 | no |
| 125438 | aerobic | aerobicⓘ | no | 61.54 | no |
| 125438 | thermophilic | thermophileⓘ | no | 98.25 | no |
| 125438 | flagellated | motile2+ⓘ | yes | 74.86 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Extensive drug-resistance in strains of Escherichia coli and Klebsiella pneumoniae isolated from paediatric urinary tract infections. | Iqbal Z, Mumtaz MZ, Malik A. | J Taibah Univ Med Sci | 10.1016/j.jtumed.2021.03.004 | 2021 | |
| Eugenol Provokes ROS-Mediated Membrane Damage-Associated Antibacterial Activity Against Clinically Isolated Multidrug-Resistant Staphylococcus aureus Strains. | Das B, Mandal D, Dash SK, Chattopadhyay S, Tripathy S, Dolai DP, Dey SK, Roy S. | Infect Dis (Auckl) | 10.4137/idrt.s31741 | 2016 | ||
| Use of the flagellar H7 gene as a target in multiplex PCR assays and improved specificity in identification of enterohemorrhagic Escherichia coli strains. | Gannon VP, D'Souza S, Graham T, King RK, Rahn K, Read S. | J Clin Microbiol | 10.1128/jcm.35.3.656-662.1997 | 1997 |
| #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 ) |
| #45439 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 11319 |
| #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/bacdive142182.20260601.11
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data