Staphylococcus taiwanensis NTUH-S172 is a prokaryote of the family Staphylococcaceae.
genome sequence 16S sequence| @ref 20215 |
|
|
| Domain Bacteria |
| Phylum Bacillota |
| Class Bacilli |
| Order Caryophanales |
| Family Staphylococcaceae |
| Genus Staphylococcus |
| Species Staphylococcus taiwanensis |
| Full scientific name Staphylococcus taiwanensis Lin et al. 2022 |
| @ref | Spore formation | Confidence | |
|---|---|---|---|
| 125439 | 95.1 |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM2054430v1 assembly for Staphylococcus taiwanensis NTUH-S172 | complete | 2750012 | 73.2 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 20215 | Staphylococcus taiwanensis strain NTUH-S172 16S ribosomal RNA gene, partial sequence | MZ890228 | 1553 | 2750012 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 95.10 | no |
| 125439 | motility | BacteriaNetⓘ | no | 65.80 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 84.60 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | aerobe | 88.30 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 89.01 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 96.71 | no |
| 125438 | aerobic | aerobicⓘ | yes | 63.10 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 77.09 | no |
| 125438 | thermophilic | thermophileⓘ | no | 96.80 | no |
| 125438 | flagellated | motile2+ⓘ | no | 83.55 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Staphylococcus taiwanensis sp. nov., isolated from human blood. | Lin YT, Hung WC, Wan TW, Li H, Lee TF, Hsueh PR, Teng LJ | Int J Syst Evol Microbiol | 10.1099/ijsem.0.005262 | 2022 |
| #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 ) |
| #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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If you want to cite this particular strain cite the following doi:
https://doi.org/10.13145/bacdive168281.20251217.10
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data