Strain identifier
version 9.3 (current version)
General
@ref: 44929
BacDive-ID: 141787
keywords: genome sequence, Bacteria
description: Streptococcus pneumoniae CCUG 6798 is a bacterium that was isolated from Human blood,70-yr-old woman,pneumonia.
NCBI tax id
- NCBI tax id: 1313
- Matching level: species
doi: 10.13145/bacdive141787.20250331.9.3
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 pneumoniae
- full scientific name: Streptococcus pneumoniae (Klein 1884) Chester 1901 (Approved Lists 1980)
synonyms
@ref synonym 20215 Micrococcus pneumoniae 20215 Staphylococcus pneumoniae
@ref: 44929
domain: Bacteria
phylum: Firmicutes
class: Bacilli
order: Lactobacillales
family: Streptococcaceae
genus: Streptococcus
species: Streptococcus pneumoniae
type strain: no
Morphology
cell morphology
- @ref: 125439
- gram stain: positive
- confidence: 90.2
Physiology and metabolism
oxygen tolerance
- @ref: 125439
- oxygen tolerance: microaerophile
- confidence: 96.7
Isolation, sampling and environmental information
isolation
- @ref: 44929
- sample type: Human blood,70-yr-old woman,pneumonia
- sampling date: 1977-12-26
- geographic location: Göteborg
- country: Sweden
- origin.country: SWE
- continent: Europe
isolation source categories
| Cat1 | Cat2 | Cat3 |
|---|---|---|
| #Host | #Human | #Female |
| #Host Body Product | #Fluids | #Blood |
| #Infection | #Inflammation | |
| #Infection | #Patient |
Sequence information
Genome sequences
| @ref | description | accession | assembly level | database | NCBI tax ID |
|---|---|---|---|---|---|
| 66792 | Streptococcus pneumoniae CCUG 6798 | GCA_001678985 | scaffold | ncbi | 1313 |
| 66792 | Streptococcus pneumoniae strain CCUG 6798 | 1313.13074 | wgs | patric | 1313 |
Genome-based predictions
predictions
| @ref | model | trait | description | prediction | confidence | training_data |
|---|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positive | Positive reaction to Gram-staining | yes | 89.923 | no |
| 125438 | anaerobic | anaerobic | Ability to grow under anoxygenic conditions (including facultative anaerobes) | no | 87.143 | no |
| 125438 | aerobic | aerobic | Ability to grow under oxygenic conditions (including facultative aerobes) | no | 97.79 | no |
| 125438 | spore-forming | spore-forming | Ability to form endo- or exospores | no | 84.871 | no |
| 125438 | thermophile | thermophilic | Ability to grow at temperatures above or equal to 45°C | no | 96.5 | no |
| 125438 | motile2+ | flagellated | Ability to perform flagellated movement | no | 89.979 | no |
| 125439 | BacteriaNet | spore_formation | Ability to form endo- or exospores | no | 89.7 | |
| 125439 | BacteriaNet | motility | Ability to perform movement | no | 79.5 | |
| 125439 | BacteriaNet | gram_stain | Reaction to gram-staining | positive | 90.2 | |
| 125439 | BacteriaNet | oxygen_tolerance | Oxygenic conditions needed for growth | microaerophile | 96.7 |
External links
@ref: 44929
culture collection no.: CCUG 6798
straininfo link
- @ref: 97412
- straininfo: 57823
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 | |
| 44929 | Curators of the CCUG | https://www.ccug.se/strain?id=6798 | Culture Collection University of Gothenburg (CCUG) (CCUG 6798) | |
| 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 | |
| 97412 | 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-ID57823.1 | |
| 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 |