Strain identifier

BacDive ID: 149438

Type strain: No

Species: Streptococcus agalactiae

NCBI tax ID(s): 1105260 (strain), 1311 (species)

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

@ref: 53843

BacDive-ID: 149438

keywords: genome sequence, Bacteria

description: Streptococcus agalactiae CCUG 37740 is a bacterium that was isolated from Human joint,arthritis,insulin treatment,diabetes.

NCBI tax id

NCBI tax idMatching level
1311species
1105260strain

doi: 10.13145/bacdive149438.20250331.9.3

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: 53843

domain: Bacteria

phylum: Firmicutes

class: Bacilli

order: Lactobacillales

family: Streptococcaceae

genus: Streptococcus

species: Streptococcus agalactiae

type strain: no

Physiology and metabolism

oxygen tolerance

  • @ref: 125439
  • oxygen tolerance: microaerophile
  • confidence: 90.1

spore formation

  • @ref: 125439
  • spore formation: no
  • confidence: 96.2

metabolite utilization

@refChebi-IDmetaboliteutilization activitykind of utilization tested
6838116199urea-hydrolysis
6838116443D-tagatose-builds acid from
68381320055methyl beta-D-glucopyranoside+builds acid from
683816731melezitose-builds acid from
6838117306maltose+builds acid from
6838128053melibiose-builds acid from
6838127941pullulan-builds acid from
6838128087glycogen-builds acid from
68381606565hippurate+hydrolysis
6838140585alpha-cyclodextrin-builds acid from
6838118333D-arabitol-builds acid from
6838130849L-arabinose-builds acid from
6838117992sucrose+builds acid from
6838116634raffinose-builds acid from
6838117716lactose-builds acid from
6838127082trehalose+builds acid from
6838130911sorbitol-builds acid from
6838116899D-mannitol-builds acid from
6838129016arginine+hydrolysis
6838116988D-ribose-builds acid from

metabolite production

  • @ref: 68381
  • Chebi-ID: 15688
  • metabolite: acetoin
  • production: yes

metabolite tests

  • @ref: 68381
  • Chebi-ID: 15688
  • metabolite: acetoin
  • voges-proskauer-test: +

enzymes

@refvalueactivityec
68381urease-3.5.1.5
68381beta-mannosidase-3.2.1.25
68381glycyl tryptophan arylamidase-
68381beta-galactosidase-3.2.1.23
68381Alanyl-Phenylalanyl-Proline arylamidase+
68381beta-glucuronidase+3.2.1.31
68381beta-glucosidase-3.2.1.21
68381arginine dihydrolase+3.5.3.6
68381N-acetyl-beta-glucosaminidase-3.2.1.52
68381pyrrolidonyl arylamidase-3.4.19.3
68381alkaline phosphatase+3.1.3.1
68381alpha-galactosidase-3.2.1.22

API rID32STR

@refADH Argbeta GLUbeta GARbeta GURalpha GALPALRIBMANSORLACTRERAFSACLARADARLCDEXVPAPPAbeta GALPyrAbeta NAGGTAHIPGLYGPULMALMELMLZMbeta DGTAGbeta MANURE
53843+--+-+----+-+---++----+--+--+---

Isolation, sampling and environmental information

isolation

  • @ref: 53843
  • sample type: Human joint,arthritis,insulin treatment,diabetes
  • sampling date: 1996-08-21
  • geographic location: Göteborg
  • country: Sweden
  • origin.country: SWE
  • continent: Europe

isolation source categories

Cat1Cat2Cat3
#Host#Human
#Host Body-Site#Limb#Joint
#Infection#Inflammation
#Infection#Patient

Sequence information

Genome sequences

@refdescriptionaccessionassembly leveldatabaseNCBI tax ID
66792Streptococcus agalactiae CCUG 37740GCA_000311005contigncbi1105260
66792Streptococcus agalactiae CCUG 377401105260.3wgspatric1105260
66792Streptococcus agalactiae CCUG 377402706794503draftimg1105260

Genome-based predictions

predictions

@refmodeltraitdescriptionpredictionconfidencetraining_data
125439BacteriaNetoxygen_toleranceOxygenic conditions needed for growthmicroaerophile90.1
125439BacteriaNetgram_stainReaction to gram-stainingnegative84.3
125439BacteriaNetmotilityAbility to perform movementno59.8
125439BacteriaNetspore_formationAbility to form endo- or exosporesno96.2
125438gram-positivegram-positivePositive reaction to Gram-stainingyes86.251no
125438anaerobicanaerobicAbility to grow under anoxygenic conditions (including facultative anaerobes)no91.275no
125438spore-formingspore-formingAbility to form endo- or exosporesno85.01no
125438aerobicaerobicAbility to grow under oxygenic conditions (including facultative aerobes)no95.771no
125438thermophilethermophilicAbility to grow at temperatures above or equal to 45°Cno95.913no
125438motile2+flagellatedAbility to perform flagellated movementno88.5no

External links

@ref: 53843

culture collection no.: CCUG 37740

straininfo link

  • @ref: 103854
  • straininfo: 57456

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
53843Curators of the CCUGhttps://www.ccug.se/strain?id=37740Culture Collection University of Gothenburg (CCUG) (CCUG 37740)
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
68381Automatically annotated from API rID32STR
103854Reimer, 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-ID57456.1
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