Parabacteroides distasonis APCS2/PD is a bacterium that was isolated from Human faeces.
genome sequence Bacteria| @ref 20215 |
|
|
| Domain Bacteria |
| Phylum Bacteroidota |
| Class Bacteroidia |
| Order Bacteroidales |
| Family Tannerellaceae |
| Genus Parabacteroides |
| Species Parabacteroides distasonis |
| Full scientific name Parabacteroides distasonis (Eggerth and Gagnon 1933) Sakamoto and Benno 2006 |
| Synonyms (1) |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 66886 | FASTIDIOUS ANAEROBE BROTH (DSMZ Medium 1203a) | Medium recipe at MediaDive | Name: FASTIDIOUS ANAEROBE BROTH (DSMZ Medium 1203a) Composition: Fastidious Anaerobe Basal Broth 35.4 g/l Distilled water | ||
| 66886 | COLUMBIA BLOOD MEDIUM (DSMZ Medium 693) | Medium recipe at MediaDive | Name: COLUMBIA BLOOD MEDIUM (DSMZ Medium 693) Composition: Defibrinated sheep blood 50.0 g/l Columbia agar base |
| @ref | Growth | Type | Temperature (°C) | |
|---|---|---|---|---|
| 66886 | positive | growth | 37 |
| @ref | Sample type | Host species | Geographic location | Country | Country ISO 3 Code | Continent | Latitude | Longitude | |
|---|---|---|---|---|---|---|---|---|---|
| 66886 | Human faeces | Homo sapiens | Cork | Ireland | IRL | Europe | 51.9036 | -8.4684 51.9036/-8.4684 |
| @ref | Biosafety level | Biosafety level comment | |
|---|---|---|---|
| 66886 | 2 | Risk group (German classification) |
| @ref | Name | Strain number | |
|---|---|---|---|
| 124042 | Parabacteroides phage vB_PdiS_PDS1 | DSM 112022 |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM1827989v1 assembly for Parabacteroides distasonis APCS2/PD | complete | 823 | 97.78 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate anaerobe | 97.94 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 90.73 | no |
| 125439 | motility | BacteriaNetⓘ | no | 76.16 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 99.34 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 92.33 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 87.66 | no |
| 125438 | aerobic | aerobicⓘ | no | 89.99 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 88.38 | no |
| 125438 | thermophilic | thermophileⓘ | no | 92.45 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 88.50 | no |
| Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|
| Adaptations in gut Bacteroidales facilitate stable co-existence with their lytic bacteriophages. | Cortes-Martin A, Buttimer C, Maier JL, Tobin CA, Draper LA, Ross RP, Kleiner M, Hill C, Shkoporov AN. | Gut Microbes | 10.1080/19490976.2025.2507775 | 2025 |
| #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) . |
| #66886 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 112022 |
| #124042 | Johannes Wittmann, Clara Rolland, Lorenz Reimer, Joaquim Sardà: PhageDive . |
| #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/bacdive159982.20260601.11
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BacDive in 2025: the core database for prokaryotic strain data