Strain identifier

BacDive ID: 2545

Type strain: No

Species: Clostridium baratii

Strain Designation: G (KZ)

Strain history: ATCC 27639 <-- S. Nakamura strain G <-- N. Seo.

NCBI tax ID(s): 1561 (species)

« back to strain detail view
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 4.1:
version 4:
version 3:
version 2.1:
version 2:
version 1:
version 9.3 (current version)

General

@ref: 314

BacDive-ID: 2545

DSM-Number: 602

keywords: genome sequence, 16S sequence, Bacteria, anaerobe, spore-forming, mesophilic

description: Clostridium baratii G is an anaerobe, spore-forming, mesophilic bacterium that was isolated from human gas gangrene.

NCBI tax id

  • NCBI tax id: 1561
  • Matching level: species

strain history

@refhistory
314<- S. Nakamura, G (KZ) (C. paraperfringens) <- N. Seo. (VPI 6907A)
67770ATCC 27639 <-- S. Nakamura strain G <-- N. Seo.

doi: 10.13145/bacdive2545.20250331.9.3

Name and taxonomic classification

LPSN

  • @ref: 20215
  • description: domain/bacteria
  • keyword: phylum/bacillota
  • domain: Bacteria
  • phylum: Bacillota
  • class: Clostridia
  • order: Eubacteriales
  • family: Clostridiaceae
  • genus: Clostridium
  • species: Clostridium baratii
  • full scientific name: Clostridium baratii corrig. (Prévot 1938) Holdeman and Moore 1970 (Approved Lists 1980)

  • synonyms

    @refsynonym
    20215Clostridium paraperfringens
    20215Inflabilis barati
    20215Acuformis perennis
    20215Clostridium perenne
    20215Clostridium barati

@ref: 314

domain: Bacteria

phylum: Firmicutes

class: Clostridia

order: Clostridiales

family: Clostridiaceae

genus: Clostridium

species: Clostridium baratii

full scientific name: Clostridium baratii (Prévot 1938) Holdeman and Moore 1970

strain designation: G (KZ)

type strain: no

Culture and growth conditions

culture medium

  • @ref: 314
  • name: LIVER BROTH (Oxoid CM 77) (DSMZ Medium 77)
  • growth: yes
  • link: https://mediadive.dsmz.de/medium/77
  • composition: Name: LIVER BROTH (Oxoid CM 77) (DSMZ Medium 77) Composition: LIVER BROTH

culture temp

@refgrowthtypetemperature
314positivegrowth37
67770positivegrowth37

Physiology and metabolism

oxygen tolerance

@refoxygen toleranceconfidence
314anaerobe
125439anaerobe99.2

Isolation, sampling and environmental information

isolation

@refsample type
314human gas gangrene
67770Human gas gangrene

isolation source categories

Cat1Cat2Cat3
#Infection#Disease
#Host#Human
#Host#Microbial#Bacteria

taxonmaps

  • @ref: 69479
  • File name: preview.99_3386.png
  • url: https://microbeatlas.org/index.html?action=taxon&taxon_id=90_34;96_1766;97_2114;98_2594;99_3386&stattab=map
  • Last taxonomy: Clostridium baratii
  • 16S sequence: LC007104
  • Sequence Identity:
  • Total samples: 11853
  • soil counts: 585
  • aquatic counts: 927
  • animal counts: 10123
  • plant counts: 218

Safety information

risk assessment

  • @ref: 314
  • biosafety level: 2
  • biosafety level comment: Risk group (German classification)

Sequence information

16S sequences

  • @ref: 67770
  • description: Clostridium baratii gene for 16S ribosomal RNA, partial sequence, strain: JCM 1382
  • accession: LC007104
  • length: 1476
  • database: nuccore
  • NCBI tax ID: 1561

Genome sequences

@refdescriptionaccessionassembly leveldatabaseNCBI tax ID
66792Clostridium baratii NCTC10986GCA_900461085contigncbi1561
66792Clostridium baratii strain NCTC109861561.57wgspatric1561
66792Clostridium baratii strain NCTC109861561.60wgspatric1561
66792Clostridium baratii strain NCTC109861561.59wgspatric1561
66792Clostridium baratii strain NCTC109861561.58wgspatric1561

Genome-based predictions

predictions

@refmodeltraitdescriptionpredictionconfidencetraining_data
125438gram-positivegram-positivePositive reaction to Gram-stainingyes75.766no
125438anaerobicanaerobicAbility to grow under anoxygenic conditions (including facultative anaerobes)yes84.913yes
125438spore-formingspore-formingAbility to form endo- or exosporesyes74.57no
125438aerobicaerobicAbility to grow under oxygenic conditions (including facultative aerobes)no94.874yes
125438thermophilethermophilicAbility to grow at temperatures above or equal to 45°Cno94.635yes
125438motile2+flagellatedAbility to perform flagellated movementno50.628no
125439BacteriaNetspore_formationAbility to form endo- or exosporesyes77.4
125439BacteriaNetmotilityAbility to perform movementyes76.7
125439BacteriaNetgram_stainReaction to gram-stainingpositive89.4
125439BacteriaNetoxygen_toleranceOxygenic conditions needed for growthanaerobe99.2

External links

@ref: 314

culture collection no.: DSM 602, ATCC 27639, NCTC 10986, JCM 1382

straininfo link

  • @ref: 72079
  • straininfo: 39102

Reference

@idauthorscataloguedoi/urltitle
314Curators of the DSMZLeibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH (DSM 602)https://www.dsmz.de/collection/catalogue/details/culture/DSM-602
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)
67770Curators of the JCMhttps://jcm.brc.riken.jp/en/
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.https://microbeatlas.org/MicrobeAtlas 1.0 beta
72079Reimer, L.C., Lissin, A.,Schober, I., Witte,J.F., Podstawka, A., Lüken, H., Bunk, B.,Overmann, J.10.60712/SI-ID39102.1StrainInfo: 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