Strain identifier

BacDive ID: 149461

Type strain: No

Species: Clostridioides difficile

NCBI tax ID(s): 1496 (species)

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

@ref: 53871

BacDive-ID: 149461

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

description: Clostridioides difficile CCUG 37785 is an anaerobe, spore-forming, mesophilic bacterium of the family Peptostreptococcaceae.

NCBI tax id

  • NCBI tax id: 1496
  • Matching level: species

doi: 10.13145/bacdive149461.20250331.9.3

Name and taxonomic classification

LPSN

  • @ref: 20215
  • description: domain/bacteria
  • keyword: phylum/bacillota
  • domain: Bacteria
  • phylum: Bacillota
  • class: Clostridia
  • order: Eubacteriales
  • family: Peptostreptococcaceae
  • genus: Clostridioides
  • species: Clostridioides difficile
  • full scientific name: Clostridioides difficile (Hall and O'Toole 1935) Lawson et al. 2016
  • synonyms

    @refsynonym
    20215Peptoclostridium difficile
    20215Bacillus difficilis
    20215Clostridium difficile

@ref: 53871

domain: Bacteria

phylum: Firmicutes

class: Clostridia

order: Eubacteriales

family: Peptostreptococcaceae

genus: Clostridioides

species: Clostridioides difficile

type strain: no

Culture and growth conditions

culture temp

  • @ref: 53871
  • growth: positive
  • type: growth
  • temperature: 37

Physiology and metabolism

oxygen tolerance

@refoxygen toleranceconfidence
53871anaerobe
125438anaerobe91.819
125439anaerobe99.9

Sequence information

Genome sequences

@refdescriptionaccessionassembly leveldatabaseNCBI tax ID
66792Clostridioides difficile CCUG37785GCA_019067085scaffoldncbi1496
66792Clostridioides difficile strain CCUG377851496.6057wgspatric1496

Genome-based predictions

predictions

@refmodeltraitdescriptionpredictionconfidencetraining_data
125438gram-positivegram-positivePositive reaction to Gram-stainingyes59.539no
125438anaerobicanaerobicAbility to grow under anoxygenic conditions (including facultative anaerobes)yes91.819yes
125438aerobicaerobicAbility to grow under oxygenic conditions (including facultative aerobes)no97.269no
125438spore-formingspore-formingAbility to form endo- or exosporesyes66.777no
125438thermophilethermophilicAbility to grow at temperatures above or equal to 45°Cno90.894no
125438motile2+flagellatedAbility to perform flagellated movementyes75.146no
125439BacteriaNetspore_formationAbility to form endo- or exosporesyes55.5
125439BacteriaNetmotilityAbility to perform movementyes64.6
125439BacteriaNetgram_stainReaction to gram-stainingpositive81.5
125439BacteriaNetoxygen_toleranceOxygenic conditions needed for growthanaerobe99.9

External links

@ref: 53871

culture collection no.: CCUG 37785, ATCC 43601

literature

topicPubmed-IDtitleauthorsjournalDOIyearmeshtopic2
Pathogenicity35315695Genomic and Phenotypic Characterization of the Nontoxigenic Clostridioides difficile Strain CCUG37785 and Demonstration of Its Therapeutic Potential for the Prevention of C. difficile Infection.Wang S, Heuler J, Wickramage I, Sun XMicrobiol Spectr10.1128/spectrum.01788-212022Animals, Bacterial Proteins/genetics, *Bacterial Toxins/genetics, Clostridioides, *Clostridioides difficile/genetics, *Clostridium Infections/prevention & control, Enterotoxins/genetics, Genomics, MiceGenetics
35583336Development of an Effective Nontoxigenic Clostridioides difficile-Based Oral Vaccine against C. difficile Infection.Wang S, Zhu D, Sun XMicrobiol Spectr10.1128/spectrum.00263-222022

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
53871Curators of the CCUGhttps://www.ccug.se/strain?id=37785Culture Collection University of Gothenburg (CCUG) (CCUG 37785)
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
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