Strain identifier

BacDive ID: 148260

Type strain: No

Species: Salmonella enterica

NCBI tax ID(s): 28901 (species)

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

@ref: 52527

BacDive-ID: 148260

keywords: genome sequence, Bacteria, Gram-negative

description: Salmonella enterica CCUG 35119 is a Gram-negative bacterium of the family Enterobacteriaceae.

NCBI tax id

  • NCBI tax id: 28901
  • Matching level: species

doi: 10.13145/bacdive148260.20250331.9.3

Name and taxonomic classification

LPSN

  • @ref: 20215
  • description: domain/bacteria
  • keyword: phylum/pseudomonadota
  • domain: Bacteria
  • phylum: Pseudomonadota
  • class: Gammaproteobacteria
  • order: Enterobacterales
  • family: Enterobacteriaceae
  • genus: Salmonella
  • species: Salmonella enterica
  • full scientific name: Salmonella enterica (ex Kauffmann and Edwards 1952) Le Minor and Popoff 1987
  • synonyms

    @refsynonym
    20215Salmonella typhi
    20215Salmonella paratyphi
    20215Bacillus typhi
    20215Bacillus enteritidis
    20215Bacillus choleraesuis
    20215Salmonella choleraesuis
    20215Bacillus typhimurium
    20215Salmonella typhimurium
    20215Salmonella enteritidis

@ref: 52527

domain: Bacteria

phylum: Proteobacteria

class: Gammaproteobacteria

order: Enterobacterales

family: Enterobacteriaceae

genus: Salmonella

species: Salmonella enterica

type strain: no

Morphology

cell morphology

@refgram stainconfidence
125438negative100
125439negative90.8

Sequence information

Genome sequences

@refdescriptionaccessionassembly leveldatabaseNCBI tax ID
66792Salmonella enterica subsp. enterica NCTC12116GCA_900456595contigncbi59201
66792Salmonella enterica subsp. enterica strain NCTC1211659201.944wgspatric59201

Genome-based predictions

predictions

@refmodeltraitdescriptionpredictionconfidencetraining_data
125438gram-positivegram-positivePositive reaction to Gram-stainingno100no
125438anaerobicanaerobicAbility to grow under anoxygenic conditions (including facultative anaerobes)no92.546no
125438spore-formingspore-formingAbility to form endo- or exosporesno88.698no
125438aerobicaerobicAbility to grow under oxygenic conditions (including facultative aerobes)no74.159no
125438thermophilethermophilicAbility to grow at temperatures above or equal to 45°Cno97no
125438motile2+flagellatedAbility to perform flagellated movementyes75.028no
125439BacteriaNetspore_formationAbility to form endo- or exosporesno83.1
125439BacteriaNetmotilityAbility to perform movementyes65.7
125439BacteriaNetgram_stainReaction to gram-stainingnegative90.8
125439BacteriaNetoxygen_toleranceOxygenic conditions needed for growthaerobe71.7

External links

@ref: 52527

culture collection no.: CCUG 35119, NCTC 12116

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
52527Curators of the CCUGhttps://www.ccug.se/strain?id=35119Culture Collection University of Gothenburg (CCUG) (CCUG 35119)
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