Strain identifier

BacDive ID: 141696

Type strain: Yes

Species: Fusobacterium necrogenes

NCBI tax ID(s): 858 (species)

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

@ref: 44816

BacDive-ID: 141696

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

description: Fusobacterium necrogenes CCUG 4949 is an anaerobe, spore-forming, mesophilic bacterium that was isolated from Duck caecum.

NCBI tax id

  • NCBI tax id: 858
  • Matching level: species

doi: 10.13145/bacdive141696.20250331.9.3

Name and taxonomic classification

LPSN

  • @ref: 20215
  • description: domain/bacteria
  • keyword: phylum/fusobacteriota
  • domain: Bacteria
  • phylum: Fusobacteriota
  • class: Fusobacteriia
  • order: Fusobacteriales
  • family: Fusobacteriaceae
  • genus: Fusobacterium
  • species: Fusobacterium necrogenes
  • full scientific name: Fusobacterium necrogenes (Weinberg et al. 1937) Moore and Holdeman 1970 (Approved Lists 1980)
  • synonyms

    • @ref: 20215
    • synonym: Bacillus necrogenes

@ref: 44816

domain: Bacteria

phylum: Fusobacteria

class: Fusobacteriia

order: Fusobacteriales

family: Fusobacteriaceae

genus: Fusobacterium

species: Fusobacterium necrogenes

type strain: yes

Culture and growth conditions

culture temp

  • @ref: 44816
  • growth: positive
  • type: growth
  • temperature: 37

Physiology and metabolism

oxygen tolerance

@refoxygen toleranceconfidence
44816anaerobe
125438anaerobe92.948
125439anaerobe99.9

Isolation, sampling and environmental information

isolation

  • @ref: 44816
  • sample type: Duck caecum

isolation source categories

Cat1Cat2
#Host#Birds
#Host Body-Site#Gastrointestinal tract

Sequence information

16S sequences

  • @ref: 124043
  • description: Fusobacterium necrogenes 16S rRNA gene, strain ATCC 25556
  • accession: AJ867034
  • length: 1455
  • database: nuccore
  • NCBI tax ID: 858

Genome sequences

@refdescriptionaccessionassembly leveldatabaseNCBI tax ID
66792Fusobacterium necrogenes NCTC10723GCA_900450765contigncbi858
66792Fusobacterium necrogenes strain NCTC10723858.4wgspatric858
66792Fusobacterium necrogenes NCTC 107232869315825draftimg858

Genome-based predictions

predictions

@refmodeltraitdescriptionpredictionconfidencetraining_data
125438gram-positivegram-positivePositive reaction to Gram-stainingno85.552no
125438anaerobicanaerobicAbility to grow under anoxygenic conditions (including facultative anaerobes)yes92.948yes
125438aerobicaerobicAbility to grow under oxygenic conditions (including facultative aerobes)no97.82yes
125438spore-formingspore-formingAbility to form endo- or exosporesno72.076no
125438thermophilethermophilicAbility to grow at temperatures above or equal to 45°Cno89.702yes
125438motile2+flagellatedAbility to perform flagellated movementno82.7no
125439BacteriaNetspore_formationAbility to form endo- or exosporesyes64.1
125439BacteriaNetmotilityAbility to perform movementyes69.8
125439BacteriaNetgram_stainReaction to gram-stainingpositive80.7
125439BacteriaNetoxygen_toleranceOxygenic conditions needed for growthanaerobe99.9

External links

@ref: 44816

culture collection no.: CCUG 4949, ATCC 25556, NCTC 10723

straininfo link

  • @ref: 97329
  • straininfo: 38595

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
44816Curators of the CCUGhttps://www.ccug.se/strain?id=4949Culture Collection University of Gothenburg (CCUG) (CCUG 4949)
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
97329Reimer, 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-ID38595.1
124043Isabel Schober, Julia KoblitzData extracted from sequence databases, automatically matched based on designation and taxonomy
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