Escherichia coli CCUG 11322 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 | 99.194 |
| @ref | Spore formation | Confidence | |
|---|---|---|---|
| 125438 | 90.032 |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|
| 66792 | 38502_G01 assembly for Escherichia coli NCTC9016 | contig | 562 | 23.39 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | gram_stain | BacteriaNetⓘ | negative | 43.29 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | aerobe | 77.29 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 51.50 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 87.37 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 99.19 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 94.42 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 90.03 | no |
| 125438 | aerobic | aerobicⓘ | no | 59.65 | no |
| 125438 | thermophilic | thermophileⓘ | no | 97.50 | no |
| 125438 | flagellated | motile2+ⓘ | yes | 74.39 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Enzymology | Molecular method for detection of total coliforms in drinking water samples. | Maheux AF, Boudreau DK, Bisson MA, Dion-Dupont V, Bouchard S, Nkuranga M, Bergeron MG, Rodriguez MJ. | Appl Environ Microbiol | 10.1128/aem.00546-14 | 2014 | |
| Enzymology | Rapid concentration and molecular enrichment approach for sensitive detection of Escherichia coli and Shigella species in potable water samples. | Maheux AF, Bissonnette L, Boissinot M, Bernier JL, Huppe V, Picard FJ, Berube E, Bergeron MG. | Appl Environ Microbiol | 10.1128/aem.02337-10 | 2011 | |
| Metabolism | Bacteriophage K1-5 encodes two different tail fiber proteins, allowing it to infect and replicate on both K1 and K5 strains of Escherichia coli. | Scholl D, Rogers S, Adhya S, Merril CR. | J Virol | 10.1128/jvi.75.6.2509-2515.2001 | 2001 | |
| Enzymology | Rapid and accurate identification of Escherichia coli K-12 strains. | Kuhnert P, Nicolet J, Frey J. | Appl Environ Microbiol | 10.1128/aem.61.11.4135-4139.1995 | 1995 | |
| Experimental induction of rheumatoid factor and joint lesions in rabbits after intravenous injections of killed bacteria. | Hanglow AC, Welsh CJ, Conn P, Pitts JM, Rampling A, Coombs RR. | Ann Rheum Dis | 10.1136/ard.45.1.50 | 1986 |
| #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 ) |
| #45442 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 11322 |
| #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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https://doi.org/10.13145/bacdive142185.20260601.11
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