@ref: 67055
BacDive-ID: 160151
DSM-Number: 112475
keywords: genome sequence, Bacteria, aerobe, mesophilic, motile, human pathogen
description: Pseudomonas aeruginosa 10671174 BWKH 4 is an aerobe, mesophilic, motile human pathogen that was isolated from swab rectal.
doi: 10.13145/bacdive160151.20250331.9.3
@ref: 67055
domain: Bacteria
phylum: Proteobacteria
class: Gammaproteobacteria
order: Pseudomonadales
family: Pseudomonadaceae
genus: Pseudomonas
species: Pseudomonas aeruginosa
full scientific name: Pseudomonas aeruginosa (Schroeter 1872) Migula 1900
strain designation: 10671174 BWKH 4
type strain: no
| @ref | motility | confidence | gram stain |
|---|---|---|---|
| 125438 | yes | 91.84 | |
| 125438 | 97.5 | negative |
| @ref | Chebi-ID | metabolite | utilization activity | kind of utilization tested |
|---|---|---|---|---|
| 68369 | 25115 | malate | + | assimilation |
| 68369 | 17128 | adipate | + | assimilation |
| 68369 | 27689 | decanoate | + | assimilation |
| 68369 | 24265 | gluconate | + | assimilation |
| 68369 | 17306 | maltose | - | assimilation |
| 68369 | 59640 | N-acetylglucosamine | + | assimilation |
| 68369 | 16899 | D-mannitol | + | assimilation |
| 68369 | 16024 | D-mannose | - | assimilation |
| 68369 | 30849 | L-arabinose | - | assimilation |
| 68369 | 17634 | D-glucose | + | assimilation |
| 68369 | 5291 | gelatin | + | hydrolysis |
| 68369 | 16199 | urea | - | hydrolysis |
| 68369 | 29016 | arginine | + | hydrolysis |
| 68369 | 17634 | D-glucose | - | fermentation |
| 68369 | 27897 | tryptophan | - | energy source |
| 68369 | 17632 | nitrate | + | reduction |
| @ref | value | activity | ec |
|---|---|---|---|
| 68369 | cytochrome oxidase | + | 1.9.3.1 |
| 68369 | gelatinase | + | |
| 68369 | urease | - | 3.5.1.5 |
| 68369 | arginine dihydrolase | + | 3.5.3.6 |
| @ref | NO3 | TRP | GLU_ Ferm | ADH Arg | URE | ESC | GEL | PNPG | GLU_ Assim | ARA | MNE | MAN | NAG | MAL | GNT | CAP | ADI | MLT | CIT | PAC | OX |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 67055 | + | - | - | + | - | +/- | + | - | + | - | - | + | + | - | + | + | + | + | + | - | + |
| @ref | model | trait | description | prediction | confidence | training_data |
|---|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positive | Positive reaction to Gram-staining | no | 97.5 | no |
| 125438 | anaerobic | anaerobic | Ability to grow under anoxygenic conditions (including facultative anaerobes) | no | 98.387 | no |
| 125438 | aerobic | aerobic | Ability to grow under oxygenic conditions (including facultative aerobes) | yes | 95.969 | no |
| 125438 | spore-forming | spore-forming | Ability to form endo- or exospores | no | 86.45 | no |
| 125438 | thermophile | thermophilic | Ability to grow at temperatures above or equal to 45°C | no | 100 | no |
| 125438 | motile2+ | flagellated | Ability to perform flagellated movement | yes | 91.84 | no |
@ref: 67055
culture collection no.: DSM 112475
| @id | authors | title | doi/url | catalogue |
|---|---|---|---|---|
| 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 | 10.1099/ijsem.0.004332 | |
| 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) | https://diaspora-project.de/progress.html#genomes | |
| 67055 | Curators of the DSMZ | https://www.dsmz.de/collection/catalogue/details/culture/DSM-112475 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH (DSM 112475) | |
| 68369 | Automatically annotated from API 20NE | |||
| 112426 | Reimer, L.C., Lissin, A.,Schober, I., Witte,J.F., Podstawka, A., Lüken, H., Bunk, B.,Overmann, J. | StrainInfo: A central database for resolving microbial strain identifiers | 10.60712/SI-ID407875.1 | |
| 125438 | Julia Koblitz, Lorenz Christian Reimer, Rüdiger Pukall, Jörg Overmann | Predicting bacterial phenotypic traits through improved machine learning using high-quality, curated datasets | 10.1101/2024.08.12.607695 |
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