Strain identifier

BacDive ID: 153315

Type strain: No

Species: Streptococcus agalactiae

NCBI tax ID(s): 1154818 (strain), 1311 (species)

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

@ref: 58465

BacDive-ID: 153315

keywords: genome sequence, Bacteria, microaerophile, mesophilic

description: Streptococcus agalactiae CCUG 49087 is a microaerophile, mesophilic bacterium that was isolated from Human blood and cerebrospinal fluid,newborn female.

NCBI tax id

NCBI tax idMatching level
1154818strain
1311species

doi: 10.13145/bacdive153315.20250331.9.3

Name and taxonomic classification

LPSN

  • @ref: 20215
  • description: domain/bacteria
  • keyword: phylum/bacillota
  • domain: Bacteria
  • phylum: Bacillota
  • class: Bacilli
  • order: Lactobacillales
  • family: Streptococcaceae
  • genus: Streptococcus
  • species: Streptococcus agalactiae
  • full scientific name: Streptococcus agalactiae Lehmann and Neumann 1896 (Approved Lists 1980)
  • synonyms

    @refsynonym
    20215Streptococcus difficile
    20215Streptococcus difficilis

@ref: 58465

domain: Bacteria

phylum: Firmicutes

class: Bacilli

order: Lactobacillales

family: Streptococcaceae

genus: Streptococcus

species: Streptococcus agalactiae

type strain: no

Culture and growth conditions

culture temp

  • @ref: 58465
  • growth: positive
  • type: growth
  • temperature: 37

Physiology and metabolism

oxygen tolerance

  • @ref: 58465
  • oxygen tolerance: microaerophile

spore formation

  • @ref: 125439
  • spore formation: no
  • confidence: 98

Isolation, sampling and environmental information

isolation

  • @ref: 58465
  • sample type: Human blood and cerebrospinal fluid,newborn female
  • sampling date: 1998-08-12
  • geographic location: Göteborg,Östra Sjukhuset
  • country: Sweden
  • origin.country: SWE
  • continent: Europe

isolation source categories

Cat1Cat2Cat3
#Host#Human#Female
#Host Body Product#Fluids#Blood
#Host Body Product#Fluids#Cerebrospinal fluid
#Infection#Patient
#Host#Human#Child

Sequence information

Genome sequences

@refdescriptionaccessionassembly leveldatabaseNCBI tax ID
66792Streptococcus agalactiae CCUG 49087GCA_000288895contigncbi1154818
66792Streptococcus agalactiae CCUG 490871154818.3wgspatric1154818
66792Streptococcus agalactiae CCUG 490872529293095draftimg1154818

Genome-based predictions

predictions

@refmodeltraitdescriptionpredictionconfidencetraining_data
125438gram-positivegram-positivePositive reaction to Gram-stainingyes86.26no
125438anaerobicanaerobicAbility to grow under anoxygenic conditions (including facultative anaerobes)no89.582yes
125438spore-formingspore-formingAbility to form endo- or exosporesno86.01no
125438aerobicaerobicAbility to grow under oxygenic conditions (including facultative aerobes)no96.333yes
125438thermophilethermophilicAbility to grow at temperatures above or equal to 45°Cno95.942yes
125438motile2+flagellatedAbility to perform flagellated movementno88.5no
125439BacteriaNetspore_formationAbility to form endo- or exosporesno98
125439BacteriaNetmotilityAbility to perform movementno75.5
125439BacteriaNetgram_stainReaction to gram-stainingnegative87.1
125439BacteriaNetoxygen_toleranceOxygenic conditions needed for growthmicroaerophile88.9

External links

@ref: 58465

culture collection no.: CCUG 49087

straininfo link

  • @ref: 107138
  • straininfo: 215252

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
58465Curators of the CCUGhttps://www.ccug.se/strain?id=49087Culture Collection University of Gothenburg (CCUG) (CCUG 49087)
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
107138Reimer, 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-ID215252.1
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