Strain identifier

BacDive ID: 161180

Type strain: No

Species: Bifidobacterium longum subsp. infantis

Strain history: AS 1.3006.

NCBI tax ID(s): 1682 (subspecies)

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

@ref: 67770

BacDive-ID: 161180

keywords: genome sequence, Bacteria, mesophilic

description: Bifidobacterium longum subsp. infantis JCM 11660 is a mesophilic bacterium of the family Bifidobacteriaceae.

NCBI tax id

  • NCBI tax id: 1682
  • Matching level: subspecies

strain history

  • @ref: 67770
  • history: AS 1.3006.

doi: 10.13145/bacdive161180.20250331.9.3

Name and taxonomic classification

LPSN

  • @ref: 20215
  • description: domain/bacteria
  • keyword: phylum/actinomycetota
  • domain: Bacteria
  • phylum: Actinomycetota
  • class: Actinomycetes
  • order: Bifidobacteriales
  • family: Bifidobacteriaceae
  • genus: Bifidobacterium
  • species: Bifidobacterium longum subsp. infantis
  • full scientific name: Bifidobacterium longum subsp. infantis (Reuter 1963) Mattarelli et al. 2008
  • synonyms

    • @ref: 20215
    • synonym: Bifidobacterium infantis

@ref: 67770

domain: Bacteria

phylum: Actinobacteria

class: Actinobacteria

order: Bifidobacteriales

family: Bifidobacteriaceae

genus: Bifidobacterium

species: Bifidobacterium longum subsp. infantis

full scientific name: Bifidobacterium longum subsp. infantis (Reuter 1963) Mattarelli et al. 2008

type strain: no

Morphology

cell morphology

@refmotilityconfidencegram stain
125438no93
12543994negative

Culture and growth conditions

culture temp

  • @ref: 67770
  • growth: positive
  • type: growth
  • temperature: 37

Physiology and metabolism

spore formation

@refspore formationconfidence
125438no90.266
125439no97.2

Sequence information

Genome sequences

@refdescriptionaccessionassembly leveldatabaseNCBI tax ID
66792Bifidobacterium longum subsp. infantis JCM 11660GCA_015102035completencbi1682
66792Bifidobacterium longum subsp. infantis strain JCM 116601682.161completepatric1682

Genome-based predictions

predictions

@refmodeltraitdescriptionpredictionconfidencetraining_data
125438gram-positivegram-positivePositive reaction to Gram-stainingyes87.277no
125438anaerobicanaerobicAbility to grow under anoxygenic conditions (including facultative anaerobes)yes81.309no
125438aerobicaerobicAbility to grow under oxygenic conditions (including facultative aerobes)no91.516no
125438spore-formingspore-formingAbility to form endo- or exosporesno90.266no
125438thermophilethermophilicAbility to grow at temperatures above or equal to 45°Cno92.967no
125438motile2+flagellatedAbility to perform flagellated movementno93no
125439BacteriaNetspore_formationAbility to form endo- or exosporesno97.2
125439BacteriaNetmotilityAbility to perform movementyes81.2
125439BacteriaNetgram_stainReaction to gram-stainingnegative94
125439BacteriaNetoxygen_toleranceOxygenic conditions needed for growthobligate aerobe61.8

External links

@ref: 67770

culture collection no.: JCM 11660, CGMCC 1.3006

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
67770Curators of the JCMhttps://jcm.brc.riken.jp/en/
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