Hafnia alvei WS 20745 is a mesophilic human pathogen that was isolated from minced meat.
mesophilic human pathogen genome sequence| @ref 20215 |
|
|
| Domain Pseudomonadati |
| Phylum Pseudomonadota |
| Class Gammaproteobacteria |
| Order Enterobacterales |
| Family Hafniaceae |
| Genus Hafnia |
| Species Hafnia alvei |
| Full scientific name Hafnia alvei Møller 1954 (Approved Lists 1980) |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 20594 | NUTRIENT AGAR (DSMZ Medium 1) | Medium recipe at MediaDive | Name: NUTRIENT AGAR (DSMZ Medium 1) Composition: Agar 15.0 g/l Peptone 5.0 g/l Meat extract 3.0 g/l Distilled water |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 20594 | positive | growth | 30 | mesophilic |
| 20594 | Sample typeminced meat |
| @ref | Pathogenicity human | Pathogenicity animal | Biosafety level | Biosafety level comment | |
|---|---|---|---|---|---|
| 20594 | 2 | Risk group (German classification) |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 97.80 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 68.20 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 95.90 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 81.20 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 99.99 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 95.05 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 90.14 | no |
| 125438 | aerobic | aerobicⓘ | no | 61.49 | no |
| 125438 | thermophilic | thermophileⓘ | no | 98.50 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 75.10 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Genetics | Complete genome sequence of a commensal bacterium, Hafnia alvei CBA7124, isolated from human feces. | Song HS, Kim JY, Kim YB, Jeong MS, Kang J, Rhee JK, Kwon J, Kim JS, Choi JS, Choi HJ, Nam YD, Roh SW. | Gut Pathog | 10.1186/s13099-017-0190-0 | 2017 |
| #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 ) |
| #20594 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 30099 |
| #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) . |
| #124043 | Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy . |
| #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/bacdive23928.20251217.10
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