Strain identifier

BacDive ID: 158881

Type strain: No

Species: Bacteroides fragilis

Strain Designation: COR2-248-WT-1

Strain history: <- D. Wylensek, TU Munich, Freising-Weihenstephan, Germany <- M. Kornbauer, TU Munich, Freising-Weihenstephan, Germany; COR2-248-WT-1

NCBI tax ID(s): 817 (species)

For citation purpose refer to the digital object identifier (doi) of the current version.
Archive
version 9.3 (current version):
version 9.2:
version 9.1:
version 9:
version 8.1:
version 8:
version 7.1:
version 7:
version 6:
version 5:
version 9.3 (current version)

General

@ref: 65703

BacDive-ID: 158881

DSM-Number: 103087

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

description: Bacteroides fragilis COR2-248-WT-1 is a mesophilic, Gram-negative human pathogen that was isolated from feces; pig, 10 month old, wild type.

NCBI tax id

  • NCBI tax id: 817
  • Matching level: species

strain history

  • @ref: 65703
  • history: <- D. Wylensek, TU Munich, Freising-Weihenstephan, Germany <- M. Kornbauer, TU Munich, Freising-Weihenstephan, Germany; COR2-248-WT-1

doi: 10.13145/bacdive158881.20250331.9.3

Name and taxonomic classification

LPSN

  • @ref: 20215
  • description: domain/bacteria
  • keyword: phylum/bacteroidota
  • domain: Bacteria
  • phylum: Bacteroidota
  • class: Bacteroidia
  • order: Bacteroidales
  • family: Bacteroidaceae
  • genus: Bacteroides
  • species: Bacteroides fragilis
  • full scientific name: Bacteroides fragilis (Veillon and Zuber 1898) Castellani and Chalmers 1919 (Approved Lists 1980)
  • synonyms

    • @ref: 20215
    • synonym: Bacillus fragilis

@ref: 65703

domain: Bacteria

phylum: Bacteroidetes

class: Bacteroidia

order: Bacteroidales

family: Bacteroidaceae

genus: Bacteroides

species: Bacteroides fragilis

full scientific name: Bacteroides fragilis (Veillon and Zuber 1898) Castellani and Chalmers 1919 emend. Hahnke et al. 2016

strain designation: COR2-248-WT-1

type strain: no

Morphology

cell morphology

  • @ref: 125438
  • gram stain: negative
  • confidence: 91.404

Culture and growth conditions

culture medium

@refnamegrowthlinkcomposition
65703CHOPPED MEAT MEDIUM (DSMZ Medium 78)yeshttps://mediadive.dsmz.de/medium/78Name: CHOPPED MEAT MEDIUM (DSMZ Medium 78) Composition: Ground beef 500.0 g/l Casitone 30.0 g/l Agar 15.0 g/l Ethanol 9.5 g/l (optional) K2HPO4 5.0 g/l Yeast extract 5.0 g/l L-Cysteine HCl 0.5 g/l Haemin 0.005 g/l (optional) Resazurin 0.001 g/l Vitamin K3 0.0005 g/l (optional) Vitamin K1 (optional) NaOH (optional) Distilled water
65703FASTIDIOUS ANAEROBE AGAR (DSMZ Medium 1203)yeshttps://mediadive.dsmz.de/medium/1203Name: FASTIDIOUS ANAEROBE AGAR (DSMZ Medium 1203) Composition: Horse blood 100.0 g/l Fastidious Anaerobe Agar 45.7 g/l Distilled water
65703WILKINS-CHALGREN ANAEROBE BROTH (DSMZ Medium 339)yeshttps://mediadive.dsmz.de/medium/339Name: WILKINS-CHALGREN ANAEROBE BROTH (DSMZ Medium 339) Composition: dehydrated Wilkins-Chalgren medium 33.0 g/l L-Cysteine HCl 0.3 g/l Sodium resazurin 0.0005 g/l Distilled water

culture temp

  • @ref: 65703
  • growth: positive
  • type: growth
  • temperature: 37

Physiology and metabolism

metabolite utilization

@refChebi-IDmetaboliteutilization activitykind of utilization tested
6838027897tryptophan-energy source
6838029985L-glutamate+degradation
6838016634raffinose+fermentation
6838016024D-mannose+fermentation
6838029016arginine-hydrolysis
6838016199urea-hydrolysis
6838017632nitrate-reduction

metabolite production

  • @ref: 68380
  • Chebi-ID: 35581
  • metabolite: indole
  • production: no

metabolite tests

  • @ref: 68380
  • Chebi-ID: 35581
  • metabolite: indole
  • indole test: -

enzymes

@refvalueactivityec
68380serine arylamidase-
68380histidine arylamidase-
68380glutamyl-glutamate arylamidase+
68380glycin arylamidase-
68380tyrosine arylamidase-
68380leucine arylamidase+3.4.11.1
68380proline-arylamidase-3.4.11.5
68380L-arginine arylamidase+
68380alkaline phosphatase+3.1.3.1
68380alpha-fucosidase+3.2.1.51
68380glutamate decarboxylase+4.1.1.15
68380beta-glucuronidase-3.2.1.31
68380N-acetyl-beta-glucosaminidase+3.2.1.52
68380alpha-arabinosidase-3.2.1.55
68380beta-glucosidase+3.2.1.21
68380alpha-glucosidase+3.2.1.20
68380beta-Galactosidase 6-phosphate-
68380alpha-galactosidase+3.2.1.22
68380arginine dihydrolase-3.5.3.6
68380urease-3.5.1.5
68380alanine arylamidase+3.4.11.2
68380pyrrolidonyl arylamidase-3.4.19.3
68380phenylalanine arylamidase-
68380leucyl glycin arylamidase+3.4.11.1
68380tryptophan deaminase-4.1.99.1
68380beta-galactosidase+3.2.1.23

API rID32A

@refUREADH Argalpha GALbeta GALbeta GPalpha GLUbeta GLUalpha ARAbeta GURbeta NAGMNERAFGDCalpha FUCNITINDPALArgAProALGAPheALeuAPyrATyrAAlaAGlyAHisAGGASerA
65703--++-++--+++++--++-+-+--+--+-

Isolation, sampling and environmental information

isolation

  • @ref: 65703
  • sample type: feces; pig, 10 month old, wild type
  • geographic location: Kranzberg (Bavaria)
  • country: Germany
  • origin.country: DEU
  • continent: Europe

isolation source categories

Cat1Cat2Cat3
#Host Body Product#Gastrointestinal tract#Feces (Stool)
#Host#Mammals#Suidae (Pig,Swine)

taxonmaps

  • @ref: 69479
  • File name: preview.99_40.png
  • url: https://microbeatlas.org/index.html?action=taxon&taxon_id=90_21;96_34;97_35;98_38;99_40&stattab=map
  • Last taxonomy: Bacteroides fragilis subclade
  • 16S sequence: MN537460
  • Sequence Identity:
  • Total samples: 221995
  • soil counts: 2825
  • aquatic counts: 7159
  • animal counts: 211201
  • plant counts: 810

Safety information

risk assessment

  • @ref: 65703
  • pathogenicity human: yes
  • pathogenicity animal: yes
  • biosafety level: 2
  • biosafety level comment: Risk group (German classification)

Sequence information

16S sequences

  • @ref: 65703
  • description: Bacteroides fragilis strain DSM 103087 16S ribosomal RNA gene, partial sequence
  • accession: MN537460
  • length: 1479
  • database: nuccore
  • NCBI tax ID: 817

Genome sequences

  • @ref: 66792
  • description: Bacteroides fragilis COR2-248-WT-1
  • accession: GCA_012844105
  • assembly level: contig
  • database: ncbi
  • NCBI tax ID: 817

Genome-based predictions

predictions

@refmodeltraitdescriptionpredictionconfidencetraining_data
125438gram-positivegram-positivePositive reaction to Gram-stainingno91.404no
125438anaerobicanaerobicAbility to grow under anoxygenic conditions (including facultative anaerobes)yes77.863no
125438aerobicaerobicAbility to grow under oxygenic conditions (including facultative aerobes)no85.948no
125438spore-formingspore-formingAbility to form endo- or exosporesno89.438no
125438thermophilethermophilicAbility to grow at temperatures above or equal to 45°Cno96.494yes
125438motile2+flagellatedAbility to perform flagellated movementno87.5no

External links

@ref: 65703

culture collection no.: DSM 103087

straininfo link

  • @ref: 111400
  • straininfo: 397996

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
65703Curators of the DSMZhttps://www.dsmz.de/collection/catalogue/details/culture/DSM-103087Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH (DSM 103087)
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
68380Automatically annotated from API rID32A
69479João F Matias Rodrigues, Janko Tackmann,Gregor Rot, Thomas SB Schmidt, Lukas Malfertheiner, Mihai Danaila,Marija Dmitrijeva, Daniela Gaio, Nicolas Näpflin and Christian von Mering. University of Zurich.MicrobeAtlas 1.0 betahttps://microbeatlas.org/
111400Reimer, 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-ID397996.1
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