Streptococcus pneumoniae CCUG 7206 is a prokaryote that was isolated from Human blood,79-yr-old woman.
genome sequence| @ref 20215 |
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| 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 (2) |
| @ref | Sample type | Sampling date | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|---|
| 44955 | Human blood,79-yr-old woman | 1978-07-07 | Göteborg | Sweden | SWE | Europe |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM163934v1 assembly for Streptococcus pneumoniae CCUG 7206 | scaffold | 1313 | 42.33 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 90.40 | no |
| 125439 | motility | BacteriaNetⓘ | no | 81.20 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 91.20 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | microaerophile | 97.50 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 89.28 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 89.01 | no |
| 125438 | aerobic | aerobicⓘ | no | 98.26 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 83.37 | no |
| 125438 | thermophilic | thermophileⓘ | no | 95.96 | no |
| 125438 | flagellated | motile2+ⓘ | no | 91.00 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Draft Genome Sequences of Six Strains of Streptococcus pneumoniae from Serotypes 5, 6A, 6B, 18C, 19A, and 23F. | Jakobsson HE, Salva-Serra F, Thorell K, Karlsson R, Gonzales-Siles L, Boulund F, Engstrand L, Kristiansson E, Moore ER. | Genome Announc | 10.1128/genomea.00125-17 | 2017 | ||
| Genetics | A Pangenome Approach for Discerning Species-Unique Gene Markers for Identifications of Streptococcus pneumoniae and Streptococcus pseudopneumoniae. | Gonzales-Siles L, Karlsson R, Schmidt P, Salva-Serra F, Jaen-Luchoro D, Skovbjerg S, Moore ERB, Gomila M. | Front Cell Infect Microbiol | 10.3389/fcimb.2020.00222 | 2020 | |
| Metabolism | Proteotyping bacteria: Characterization, differentiation and identification of pneumococcus and other species within the Mitis Group of the genus Streptococcus by tandem mass spectrometry proteomics. | Karlsson R, Gonzales-Siles L, Gomila M, Busquets A, Salva-Serra F, Jaen-Luchoro D, Jakobsson HE, Karlsson A, Boulund F, Kristiansson E, Moore ERB. | PLoS One | 10.1371/journal.pone.0208804 | 2018 |
| #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. IJSEM ( DOI 10.1099/ijsem.0.004332 ) |
| #44955 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 7206 |
| #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) . |
| #125438 | Julia Koblitz, Lorenz Christian Reimer, Rüdiger Pukall, Jörg Overmann: Predicting bacterial phenotypic traits through improved machine learning using high-quality, curated datasets. 2024 ( DOI 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 . |
| #126262 | A. Lissin, I. Schober, J. F. Witte, H. Lüken, A. Podstawka, J. Koblitz, B. Bunk, P. Dawyndt, P. Vandamme, P. de Vos, J. Overmann, L. C. Reimer: StrainInfo—the central database for linked microbial strain identifiers. ( DOI 10.1093/database/baaf059 ) |
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https://doi.org/10.13145/bacdive141809.20251217.10
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BacDive in 2025: the core database for prokaryotic strain data