Strain identifier

BacDive ID: 159544

Type strain: No

Species: Bifidobacterium tsurumiense

Strain Designation: BSM-380-WT-2B

Strain history: <- D. Wylensek, TU Munich, Freising-Weihenstephan, Germany; BSM-380-WT-2B

NCBI tax ID(s): 356829 (species)

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General

@ref: 66370

BacDive-ID: 159544

DSM-Number: 104387

keywords: genome sequence, 16S sequence, Bacteria, mesophilic

description: Bifidobacterium tsurumiense BSM-380-WT-2B is a mesophilic bacterium that was isolated from feces; pig, 8 weeks old, wild type.

NCBI tax id

  • NCBI tax id: 356829
  • Matching level: species

strain history

  • @ref: 66370
  • history: <- D. Wylensek, TU Munich, Freising-Weihenstephan, Germany; BSM-380-WT-2B

doi: 10.13145/bacdive159544.20250331.9.3

Name and taxonomic classification

LPSN

  • @ref: 20215
  • description: domain/bacteria
  • keyword: phylum/actinomycetota
  • domain: Bacteria
  • phylum: Actinomycetota
  • class: Actinomycetes
  • order: Bifidobacteriales
  • family: Bifidobacteriaceae
  • genus: Bifidobacterium
  • species: Bifidobacterium tsurumiense
  • full scientific name: Bifidobacterium tsurumiense Okamoto et al. 2008

@ref: 66370

domain: Bacteria

phylum: Actinobacteria

class: Actinobacteria

order: Bifidobacteriales

family: Bifidobacteriaceae

genus: Bifidobacterium

species: Bifidobacterium tsurumiense

full scientific name: Bifidobacterium tsurumiense Okamoto et al. 2008

strain designation: BSM-380-WT-2B

type strain: no

Morphology

cell morphology

  • @ref: 125438
  • motility: no
  • confidence: 95

Culture and growth conditions

culture medium

@refnamegrowthlinkcomposition
66370BIFIDOBACTERIUM MEDIUM (DSMZ Medium 58)yeshttps://mediadive.dsmz.de/medium/58Name: BIFIDOBACTERIUM MEDIUM (DSMZ Medium 58) Composition: Glucose 10.0 g/l Casein peptone 10.0 g/l Bacto Soytone 5.0 g/l Meat extract 5.0 g/l Yeast extract 5.0 g/l L-Cysteine HCl x H2O 0.5 g/l NaHCO3 0.4 g/l NaCl 0.08 g/l MnSO4 x H2O 0.05 g/l KH2PO4 0.04 g/l K2HPO4 0.04 g/l MgSO4 x 7 H2O 0.02 g/l CaCl2 x 2 H2O 0.01 g/l Tween 80 Resazurin Distilled water
66370COLUMBIA 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

culture temp

  • @ref: 66370
  • growth: positive
  • type: growth
  • temperature: 37

Physiology and metabolism

oxygen tolerance

  • @ref: 125439
  • oxygen tolerance: obligate aerobe
  • confidence: 92.8

spore formation

  • @ref: 125438
  • spore formation: no
  • confidence: 90.935

Isolation, sampling and environmental information

isolation

  • @ref: 66370
  • sample type: feces; pig, 8 weeks 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_5384.png
  • url: https://microbeatlas.org/index.html?action=taxon&taxon_id=90_24;96_2610;97_3196;98_4013;99_5384&stattab=map
  • Last taxonomy: Bifidobacterium tsurumiense subclade
  • 16S sequence: MN537465
  • Sequence Identity:
  • Total samples: 11687
  • soil counts: 69
  • aquatic counts: 80
  • animal counts: 11512
  • plant counts: 26

Safety information

risk assessment

  • @ref: 66370
  • biosafety level: 1
  • biosafety level comment: Risk group (German classification)

Sequence information

16S sequences

  • @ref: 66370
  • description: Bifidobacterium tsurumiense strain DSM 104387 16S ribosomal RNA gene, partial sequence
  • accession: MN537465
  • length: 1488
  • database: nuccore
  • NCBI tax ID: 356829

Genome sequences

@refdescriptionaccessionassembly leveldatabaseNCBI tax ID
66792Bifidobacterium tsurumiense BSM-380-WT-2BGCA_009696505contigncbi356829
66792Bifidobacterium tsurumiense strain BSM-380-WT-2B356829.8wgspatric356829

Genome-based predictions

predictions

@refmodeltraitdescriptionpredictionconfidencetraining_data
125438gram-positivegram-positivePositive reaction to Gram-stainingyes89.245no
125438anaerobicanaerobicAbility to grow under anoxygenic conditions (including facultative anaerobes)yes77.32no
125438spore-formingspore-formingAbility to form endo- or exosporesno90.935no
125438aerobicaerobicAbility to grow under oxygenic conditions (including facultative aerobes)no92.496no
125438thermophilethermophilicAbility to grow at temperatures above or equal to 45°Cno90.989yes
125438motile2+flagellatedAbility to perform flagellated movementno95no
125439BacteriaNetspore_formationAbility to form endo- or exosporesno77.7
125439BacteriaNetmotilityAbility to perform movementyes75.9
125439BacteriaNetgram_stainReaction to gram-stainingpositive65.3
125439BacteriaNetoxygen_toleranceOxygenic conditions needed for growthobligate aerobe92.8

External links

@ref: 66370

culture collection no.: DSM 104387

straininfo link

  • @ref: 112023
  • straininfo: 401735

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
66370Curators of the DSMZhttps://www.dsmz.de/collection/catalogue/details/culture/DSM-104387Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH (DSM 104387)
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
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/
112023Reimer, 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-ID401735.1
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