Strain identifier

BacDive ID: 159624

Type strain: No

Species: Pseudomonas saxonica

Strain Designation: WS 5092

Strain history: <- M. Wenning, BFLM, TU Munich, Freising-Weihenstephan, Germany; WS5092 <-

NCBI tax ID(s): 2600598 (species)

For citation purpose refer to the digital object identifier (doi) of the current version.
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General

@ref: 66459

BacDive-ID: 159624

DSM-Number: 108990

keywords: genome sequence, 16S sequence, Bacteria, aerobe, mesophilic, Gram-negative

description: Pseudomonas saxonica WS 5092 is an aerobe, mesophilic, Gram-negative bacterium that was isolated from skim milk concentrate.

NCBI tax id

  • NCBI tax id: 2600598
  • Matching level: species

strain history

  • @ref: 66459
  • history: <- M. Wenning, BFLM, TU Munich, Freising-Weihenstephan, Germany; WS5092 <-

doi: 10.13145/bacdive159624.20250331.9.3

Name and taxonomic classification

LPSN

  • @ref: 20215
  • description: domain/bacteria
  • keyword: phylum/pseudomonadota
  • domain: Bacteria
  • phylum: Pseudomonadota
  • class: Gammaproteobacteria
  • order: Pseudomonadales
  • family: Pseudomonadaceae
  • genus: Pseudomonas
  • species: Pseudomonas saxonica
  • full scientific name: Pseudomonas saxonica Hofmann et al. 2020

@ref: 66459

domain: Bacteria

phylum: Proteobacteria

class: Gammaproteobacteria

order: Pseudomonadales

family: Pseudomonadaceae

genus: Pseudomonas

species: Pseudomonas saxonica

full scientific name: Pseudomonas saxonica

strain designation: WS 5092

type strain: no

Morphology

cell morphology

@refmotilityconfidencegram stain
125438yes92.645
125438100negative
12543992.4negative

multimedia

  • @ref: 66459
  • multimedia content: https://www.dsmz.de/microorganisms/photos/DSM_108990.jpg
  • caption: DSM 108990 in DSMZ medium 535 at 28 °C
  • intellectual property rights: © Leibniz-Institut DSMZ

Culture and growth conditions

culture medium

@refnamegrowthlinkcomposition
66459TRYPTICASE SOY BROTH AGAR (DSMZ Medium 535)yeshttps://mediadive.dsmz.de/medium/535Name: TRYPTICASE SOY BROTH AGAR (DSMZ Medium 535) Composition: Trypticase soy broth 30.0 g/l Agar 15.0 g/l Distilled water
66459TRYPTONE SOYA BROTH (TSB) (DSMZ Medium 545)yeshttps://mediadive.dsmz.de/medium/545Name: 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

culture temp

  • @ref: 66459
  • growth: positive
  • type: growth
  • temperature: 28

Physiology and metabolism

oxygen tolerance

  • @ref: 125438
  • oxygen tolerance: aerobe
  • confidence: 91.323

spore formation

  • @ref: 125439
  • spore formation: no
  • confidence: 99.5

Isolation, sampling and environmental information

isolation

  • @ref: 66459
  • sample type: skim milk concentrate
  • geographic location: Leppersdorf (48° 38' 48" N, 9° 25' 44.0" E)
  • country: Germany
  • origin.country: DEU
  • continent: Europe

isolation source categories

  • Cat1: #Engineered
  • Cat2: #Food production
  • Cat3: #Dairy product

Sequence information

16S sequences

  • @ref: 66459
  • description: Pseudomonas saxonica strain DSM 108990 RNA polymerase sigma factor RpoD (rpoD) gene, partial cds
  • accession: MN068214
  • length: 685
  • database: nuccore
  • NCBI tax ID: 2600598

Genome sequences

@refdescriptionaccessionassembly leveldatabaseNCBI tax ID
66792Pseudomonas saxonica DSM 108990GCA_007858355contigncbi2600598
66792Pseudomonas sp. DSM 1089902600599.3wgspatric2600598

Genome-based predictions

predictions

@refmodeltraitdescriptionpredictionconfidencetraining_data
125438gram-positivegram-positivePositive reaction to Gram-stainingno100no
125438anaerobicanaerobicAbility to grow under anoxygenic conditions (including facultative anaerobes)no98.185no
125438spore-formingspore-formingAbility to form endo- or exosporesno87.484no
125438aerobicaerobicAbility to grow under oxygenic conditions (including facultative aerobes)yes91.323no
125438thermophilethermophilicAbility to grow at temperatures above or equal to 45°Cno98yes
125438motile2+flagellatedAbility to perform flagellated movementyes92.645no
125439BacteriaNetspore_formationAbility to form endo- or exosporesno99.5
125439BacteriaNetmotilityAbility to perform movementyes77.4
125439BacteriaNetgram_stainReaction to gram-stainingnegative92.4
125439BacteriaNetoxygen_toleranceOxygenic conditions needed for growthobligate aerobe82

External links

@ref: 66459

culture collection no.: DSM 108990, LMG 31235

straininfo link

  • @ref: 112098
  • straininfo: 403678

literature

  • topic: Phylogeny
  • Pubmed-ID: 31730030
  • title: Pseudomonas saxonica sp. nov., isolated from raw milk and skimmed milk concentrate.
  • authors: Hofmann K, Huptas C, Doll EV, Scherer S, Wenning M
  • journal: Int J Syst Evol Microbiol
  • DOI: 10.1099/ijsem.0.003851
  • year: 2020
  • mesh: Animals, Bacterial Typing Techniques, Base Composition, Cattle, DNA, Bacterial/genetics, Fatty Acids/chemistry, Female, *Food Microbiology, Genes, Bacterial, Germany, Milk/*microbiology, Multilocus Sequence Typing, Nucleic Acid Hybridization, Phospholipids/chemistry, *Phylogeny, Pseudomonas/*classification/isolation & purification, Quinones/chemistry, RNA, Ribosomal, 16S/genetics, Sequence Analysis, DNA
  • topic2: Biotechnology

Reference

@idauthorstitledoi/urlcatalogue
20215Parte, 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 DSMZ10.1099/ijsem.0.004332
66459Curators of the DSMZhttps://www.dsmz.de/collection/catalogue/details/culture/DSM-108990Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH (DSM 108990)
66792Julia Koblitz, Joaquim Sardà, Lorenz Christian Reimer, Boyke Bunk, Jörg OvermannAutomatically annotated for the DiASPora project (Digital Approaches for the Synthesis of Poorly Accessible Biodiversity Information)https://diaspora-project.de/progress.html#genomes
112098Reimer, 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 identifiers10.60712/SI-ID403678.1
125438Julia Koblitz, Lorenz Christian Reimer, Rüdiger Pukall, Jörg OvermannPredicting bacterial phenotypic traits through improved machine learning using high-quality, curated datasets10.1101/2024.08.12.607695
125439Philipp Münch, René Mreches, Martin Binder, Hüseyin Anil Gündüz, Xiao-Yin To, Alice McHardydeepG: Deep Learning for Genome Sequence Data. R package version 0.3.1https://github.com/GenomeNet/deepG