Strain identifier

BacDive ID: 167104

Type strain: Yes

Species: Spirabiliibacterium mucosae

Strain Designation: 20609/3, HIM 913-3, HIM 913

NCBI tax ID(s): 28156 (species)

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

@ref: 20215

BacDive-ID: 167104

DSM-Number: 111429

keywords: genome sequence, 16S sequence, Bacteria, Gram-negative

description: Spirabiliibacterium mucosae 20609/3 is a Gram-negative bacterium of the family Pasteurellaceae.

NCBI tax id

  • NCBI tax id: 28156
  • Matching level: species

doi: 10.13145/bacdive167104.20250331.9.3

Name and taxonomic classification

LPSN

  • @ref: 20215
  • description: domain/bacteria
  • keyword: phylum/pseudomonadota
  • domain: Bacteria
  • phylum: Pseudomonadota
  • class: Gammaproteobacteria
  • order: Pasteurellales
  • family: Pasteurellaceae
  • genus: Spirabiliibacterium
  • species: Spirabiliibacterium mucosae
  • full scientific name: Spirabiliibacterium mucosae Bisgaard and Christensen 2021

@ref: 20215

domain: Bacteria

phylum: Pseudomonadota

class: Gammaproteobacteria

order: Pasteurellales

family: Pasteurellaceae

genus: Spirabiliibacterium

species: Spirabiliibacterium mucosae

full scientific name: Spirabiliibacterium mucosae Bisgaard and Christensen 2021

strain designation: 20609/3, HIM 913-3, HIM 913

type strain: yes

Morphology

cell morphology

@refgram stainconfidencemotility
125439negative99
125438negative99
12543890.682no

Physiology and metabolism

spore formation

@refspore formationconfidence
125438no91.126
125439no99.7

Sequence information

16S sequences

  • @ref: 124043
  • description: Bisgaard Taxon 14 strain CCUG 16499 R 16S ribosomal RNA gene, partial sequence.
  • accession: L06086
  • length: 1485
  • database: nuccore
  • NCBI tax ID: 28156

Genome sequences

  • @ref: 66792
  • description: Spirabiliibacterium mucosae 20609_3
  • accession: GCA_014884965
  • assembly level: contig
  • database: ncbi
  • NCBI tax ID: 28156

Genome-based predictions

predictions

@refmodeltraitdescriptionpredictionconfidencetraining_data
125438gram-positivegram-positivePositive reaction to Gram-stainingno99no
125438anaerobicanaerobicAbility to grow under anoxygenic conditions (including facultative anaerobes)no93.857no
125438aerobicaerobicAbility to grow under oxygenic conditions (including facultative aerobes)no69.211no
125438spore-formingspore-formingAbility to form endo- or exosporesno91.126no
125438thermophilethermophilicAbility to grow at temperatures above or equal to 45°Cno96no
125438motile2+flagellatedAbility to perform flagellated movementno90.682no
125439BacteriaNetspore_formationAbility to form endo- or exosporesno99.7
125439BacteriaNetmotilityAbility to perform movementno74.5
125439BacteriaNetgram_stainReaction to gram-stainingnegative99
125439BacteriaNetoxygen_toleranceOxygenic conditions needed for growthaerobe76.3

External links

@ref: 20215

culture collection no.: DSM 111429, CCUG 16499

literature

  • topic: Phylogeny
  • Pubmed-ID: 33734954
  • title: Classification of Bisgaard's taxa 14 and 32 and a taxon from kestrels demonstrating satellitic growth and proposal of Spirabiliibacterium gen. nov., including the description of three species: Spirabiliibacterium mucosae sp. nov., Spirabiliibacterium pneumoniae sp. nov. and Spirabiliibacterium falconis sp. nov.
  • authors: Bisgaard M, Christensen H
  • journal: Int J Syst Evol Microbiol
  • DOI: 10.1099/ijsem.0.004758
  • year: 2021

Reference

@idauthorstitledoi/url
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
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
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