Strain identifier

BacDive ID: 14459

Type strain: No

Species: Staphylococcus aureus

Strain history: <- ATCC <- W. A. Randall, 14

NCBI tax ID(s): 1280 (species)

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

@ref: 4206

BacDive-ID: 14459

DSM-Number: 11110

keywords: genome sequence, Bacteria, mesophilic, human pathogen

description: Staphylococcus aureus DSM 11110 is a mesophilic human pathogen that was isolated from finger.

NCBI tax id

  • NCBI tax id: 1280
  • Matching level: species

strain history

  • @ref: 4206
  • history: <- ATCC <- W. A. Randall, 14

doi: 10.13145/bacdive14459.20250331.9.3

Name and taxonomic classification

LPSN

  • @ref: 20215
  • description: domain/bacteria
  • keyword: phylum/bacillota
  • domain: Bacteria
  • phylum: Bacillota
  • class: Bacilli
  • order: Caryophanales
  • family: Staphylococcaceae
  • genus: Staphylococcus
  • species: Staphylococcus aureus
  • full scientific name: Staphylococcus aureus Rosenbach 1884 (Approved Lists 1980)
  • synonyms

    • @ref: 20215
    • synonym: Staphylococcus aureus subsp. anaerobius

@ref: 4206

domain: Bacteria

phylum: Firmicutes

class: Bacilli

order: Bacillales

family: Staphylococcaceae

genus: Staphylococcus

species: Staphylococcus aureus

full scientific name: Staphylococcus aureus Rosenbach 1884

type strain: no

Culture and growth conditions

culture medium

@refnamegrowthlinkcomposition
4206COLUMBIA BLOOD MEDIUM (DSMZ Medium 693)yeshttps://mediadive.dsmz.de/medium/693Name: COLUMBIA BLOOD MEDIUM (DSMZ Medium 693) Composition: Defibrinated sheep blood 50.0 g/l Columbia agar base
4206TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92)yeshttps://mediadive.dsmz.de/medium/92Name: TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92) Composition: Trypticase soy broth 30.0 g/l Agar 15.0 g/l Yeast extract 3.0 g/l Distilled water

culture temp

  • @ref: 4206
  • growth: positive
  • type: growth
  • temperature: 37

Physiology and metabolism

spore formation

  • @ref: 125439
  • spore formation: no
  • confidence: 91.7

metabolite utilization

@refChebi-IDmetaboliteutilization activitykind of utilization tested
6837522599arabinose-fermentation
6837559640N-acetylglucosamine+fermentation
6837517992sucrose+fermentation
6837517632nitrate+reduction
6837517057cellobiose-fermentation
6837516988D-ribose-fermentation
6837516899D-mannitol+fermentation
6837516634raffinose-fermentation
6837527082trehalose+fermentation
6837515824D-fructose+fermentation
6837517306maltose+fermentation
6837518257ornithine-degradation
6837517634D-glucose+fermentation
683754853esculin-hydrolysis
6837516199urea-hydrolysis

metabolite production

  • @ref: 68375
  • Chebi-ID: 15688
  • metabolite: acetoin
  • production: yes

metabolite tests

  • @ref: 68375
  • Chebi-ID: 15688
  • metabolite: acetoin
  • voges-proskauer-test: +

enzymes

@refvalueactivityec
68375beta-glucuronidase-3.2.1.31
68375beta-glucosidase-3.2.1.21
68375pyrrolidonyl arylamidase-3.4.19.3
68375alkaline phosphatase+3.1.3.1
68375L-arginine arylamidase-
68375beta-galactosidase-3.2.1.23
68375ornithine decarboxylase-4.1.1.17
68375urease-3.5.1.5

API ID32STA

@refUREADH ArgODCESCGLUFRUMNEMALLACTREMANRAFRIBCELNITVPbeta GALArgAPALPyrANOVOSACNAGTURARAbeta GUR
4206-+--+++++++---++--+--+++--
4206----+++/-+-++---++--+--+++/---
4206-+--+++++++---++--+-+/-+++--

Isolation, sampling and environmental information

isolation

  • @ref: 4206
  • sample type: finger

isolation source categories

  • Cat1: #Host Body-Site
  • Cat2: #Limb
  • Cat3: #Hand

Safety information

risk assessment

  • @ref: 4206
  • pathogenicity human: yes
  • pathogenicity animal: yes
  • biosafety level: 2
  • biosafety level comment: Risk group (German classification)

Sequence information

Genome sequences

@refdescriptionaccessionassembly leveldatabaseNCBI tax ID
66792Staphylococcus aureus ATCC 6341GCA_019550815contigncbi1280
66792Staphylococcus aureus strain ATCC 63411280.34756wgspatric1280

Genome-based predictions

predictions

@refmodeltraitdescriptionpredictionconfidencetraining_data
125438gram-positivegram-positivePositive reaction to Gram-stainingyes85.368no
125438anaerobicanaerobicAbility to grow under anoxygenic conditions (including facultative anaerobes)no99.444no
125438spore-formingspore-formingAbility to form endo- or exosporesno71.786no
125438aerobicaerobicAbility to grow under oxygenic conditions (including facultative aerobes)no53.063no
125438thermophilethermophilicAbility to grow at temperatures above or equal to 45°Cno95.24yes
125438motile2+flagellatedAbility to perform flagellated movementno79.387no
125439BacteriaNetspore_formationAbility to form endo- or exosporesno91.7
125439BacteriaNetmotilityAbility to perform movementno69.1
125439BacteriaNetgram_stainReaction to gram-stainingpositive84
125439BacteriaNetoxygen_toleranceOxygenic conditions needed for growthmicroaerophile78.3

External links

@ref: 4206

culture collection no.: DSM 11110, ATCC 6341

straininfo link

  • @ref: 83599
  • straininfo: 34769

Reference

@idauthorscataloguedoi/urltitle
4206Curators of the DSMZLeibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH (DSM 11110)https://www.dsmz.de/collection/catalogue/details/culture/DSM-11110
20215Parte, A.C., Sardà Carbasse, J., Meier-Kolthoff, J.P., Reimer, L.C. and Göker, M.10.1099/ijsem.0.004332List of Prokaryotic names with Standing in Nomenclature (LPSN) moves to the DSMZ
66792Julia Koblitz, Joaquim Sardà, Lorenz Christian Reimer, Boyke Bunk, Jörg Overmannhttps://diaspora-project.de/progress.html#genomesAutomatically annotated for the DiASPora project (Digital Approaches for the Synthesis of Poorly Accessible Biodiversity Information)
68375Automatically annotated from API ID32STA
83599Reimer, L.C., Lissin, A.,Schober, I., Witte,J.F., Podstawka, A., Lüken, H., Bunk, B.,Overmann, J.10.60712/SI-ID34769.1StrainInfo: A central database for resolving microbial strain identifiers
125438Julia Koblitz, Lorenz Christian Reimer, Rüdiger Pukall, Jörg Overmann10.1101/2024.08.12.607695Predicting bacterial phenotypic traits through improved machine learning using high-quality, curated datasets
125439Philipp Münch, René Mreches, Martin Binder, Hüseyin Anil Gündüz, Xiao-Yin To, Alice McHardyhttps://github.com/GenomeNet/deepGdeepG: Deep Learning for Genome Sequence Data. R package version 0.3.1