Strain identifier
version 9.3 (current version)
General
@ref: 45639
BacDive-ID: 142362
keywords: genome sequence, Bacteria
description: Streptococcus agalactiae CCUG 12039 is a bacterium of the family Streptococcaceae.
NCBI tax id
- NCBI tax id: 1311
- Matching level: species
doi: 10.13145/bacdive142362.20250331.9.3
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
@ref synonym 20215 Streptococcus difficile 20215 Streptococcus difficilis
@ref: 45639
domain: Bacteria
phylum: Firmicutes
class: Bacilli
order: Lactobacillales
family: Streptococcaceae
genus: Streptococcus
species: Streptococcus agalactiae
type strain: no
Morphology
cell morphology
- @ref: 125439
- gram stain: positive
- confidence: 90.3
Physiology and metabolism
oxygen tolerance
- @ref: 125439
- oxygen tolerance: microaerophile
- confidence: 96.4
spore formation
- @ref: 125439
- spore formation: no
- confidence: 92.5
Sequence information
Genome sequences
| @ref | description | accession | assembly level | database | NCBI tax ID |
|---|---|---|---|---|---|
| 66792 | Streptococcus agalactiae NCTC8187 | GCA_900475355 | complete | ncbi | 1311 |
| 66792 | Streptococcus agalactiae strain NCTC8187 | 1311.1679 | complete | patric | 1311 |
| 66792 | Streptococcus agalactiae NCTC 8187 | 2875613586 | complete | img | 1311 |
Genome-based predictions
predictions
| @ref | model | trait | description | prediction | confidence | training_data |
|---|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positive | Positive reaction to Gram-staining | yes | 85.613 | no |
| 125438 | anaerobic | anaerobic | Ability to grow under anoxygenic conditions (including facultative anaerobes) | no | 89.439 | no |
| 125438 | aerobic | aerobic | Ability to grow under oxygenic conditions (including facultative aerobes) | no | 96.011 | no |
| 125438 | spore-forming | spore-forming | Ability to form endo- or exospores | no | 86.01 | no |
| 125438 | thermophile | thermophilic | Ability to grow at temperatures above or equal to 45°C | no | 95.942 | no |
| 125438 | motile2+ | flagellated | Ability to perform flagellated movement | no | 88.5 | no |
| 125439 | BacteriaNet | spore_formation | Ability to form endo- or exospores | no | 92.5 | |
| 125439 | BacteriaNet | motility | Ability to perform movement | no | 78.7 | |
| 125439 | BacteriaNet | gram_stain | Reaction to gram-staining | positive | 90.3 | |
| 125439 | BacteriaNet | oxygen_tolerance | Oxygenic conditions needed for growth | microaerophile | 96.4 |
External links
@ref: 45639
culture collection no.: CCUG 12039, NCTC 8187
straininfo link
- @ref: 97897
- straininfo: 57437
Reference
| @id | authors | title | doi/url | catalogue |
|---|---|---|---|---|
| 20215 | Parte, 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 DSMZ | 10.1099/ijsem.0.004332 | |
| 45639 | Curators of the CCUG | https://www.ccug.se/strain?id=12039 | Culture Collection University of Gothenburg (CCUG) (CCUG 12039) | |
| 66792 | Julia Koblitz, Joaquim Sardà, Lorenz Christian Reimer, Boyke Bunk, Jörg Overmann | Automatically annotated for the DiASPora project (Digital Approaches for the Synthesis of Poorly Accessible Biodiversity Information) | https://diaspora-project.de/progress.html#genomes | |
| 97897 | Reimer, 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 identifiers | 10.60712/SI-ID57437.1 | |
| 125438 | Julia Koblitz, Lorenz Christian Reimer, Rüdiger Pukall, Jörg Overmann | Predicting bacterial phenotypic traits through improved machine learning using high-quality, curated datasets | 10.1101/2024.08.12.607695 | |
| 125439 | Philipp Münch, René Mreches, Martin Binder, Hüseyin Anil Gündüz, Xiao-Yin To, Alice McHardy | deepG: Deep Learning for Genome Sequence Data. R package version 0.3.1 | https://github.com/GenomeNet/deepG |