Pseudomonas saxonica WS 5072 is an aerobe, mesophilic, motile bacterium that was isolated from skim milk concentrate.
motile aerobe mesophilic genome sequence 16S sequence Bacteria|
|
| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Gammaproteobacteria |
| Order Pseudomonadales |
| Family Pseudomonadaceae |
| Genus Pseudomonas |
| Species Pseudomonas saxonica |
| Full scientific name Pseudomonas saxonica Hofmann et al. 2020 |
| BacDive ID | Other strains from Pseudomonas saxonica (1) | Type strain |
|---|---|---|
| 159624 | P. saxonica WS 5092, DSM 108990, LMG 31235 |
| @ref: | 66458 |
| manual_annotation: | 1 |
| multimedia content: | DSM_108989.jpg |
| multimedia.multimedia content: | https://www.dsmz.de/microorganisms/photos/DSM_108989.jpg |
| caption: | DSM 108989 in DSMZ medium 535 at 28 °C |
| intellectual property rights: | © Leibniz-Institut DSMZ |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 66458 | TRYPTICASE SOY BROTH AGAR (DSMZ Medium 535) | Medium recipe at MediaDive | Name: TRYPTICASE SOY BROTH AGAR (DSMZ Medium 535) Composition: Trypticase soy broth 30.0 g/l Agar 15.0 g/l Distilled water | ||
| 66458 | TRYPTONE SOYA BROTH (TSB) (DSMZ Medium 545) | Medium recipe at MediaDive | Name: TRYPTONE SOYA BROTH (TSB) (DSMZ Medium 545) Composition: Casein peptone 17.0 g/l NaCl 5.0 g/l Soy peptone 3.0 g/l D(+)-Glucose 2.5 g/l K2HPO4 2.5 g/l Distilled water |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 66458 | positive | growth | 28 | mesophilic |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 66458 | skim milk concentrate | Leppersdorf (48° 38' 48" N, 9° 25' 44.0" E) | Germany | DEU | Europe |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 66458 | Pseudomonas saxonica strain DSM 108989 RNA polymerase sigma factor RpoD (rpoD) gene, partial cds | MN068213 | 683 | 2600598 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 96.00 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 80.40 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 97.40 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 87.90 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 99.00 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 98.22 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 87.23 | no |
| 125438 | aerobic | aerobicⓘ | yes | 90.90 | no |
| 125438 | thermophilic | thermophileⓘ | no | 98.00 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 91.09 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Pseudomonas paraversuta sp. nov. isolated from refrigerated dry-aged beef. | Lick S, Wibberg D, Winkler A, Blom J, Grimmler C, Goesmann A, Kalinowski J, Krockel L | Int J Syst Evol Microbiol | 10.1099/ijsem.0.004822 | 2021 | |
| Phylogeny | Pseudomonas saxonica sp. nov., isolated from raw milk and skimmed milk concentrate. | Hofmann K, Huptas C, Doll EV, Scherer S, Wenning M | Int J Syst Evol Microbiol | 10.1099/ijsem.0.003851 | 2020 |
| @ref | Straininfo | Culture collections | |
|---|---|---|---|
| 112097 | 400476 | DSM 108989 |
| Culture collection no. | |
|---|---|
| DSM 108989 | |
| LMG 31234 | |
| WS 5072 |
| #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 ) |
| #66458 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 108989 |
| #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) . |
| #112097 | 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 . ( DOI 10.60712/SI-ID400476.1 ) |
| #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 . |
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