Olsenella porci CA-Schmier-601-WT1 is a bacterium that was isolated from pig, WT, 1 year old, feces.
genome sequence 16S sequence Bacteria| @ref 20215 |
|
|
| Domain Bacteria |
| Phylum Actinomycetota |
| Class Coriobacteriia |
| Order Coriobacteriales |
| Family Atopobiaceae |
| Genus Olsenella |
| Species Olsenella porci |
| Full scientific name Olsenella porci Wylensek et al. 2021 |
| @ref | Motility | Confidence | |
|---|---|---|---|
| 125438 | 90.125 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 65865 | WILKINS-CHALGREN ANAEROBE BROTH (DSMZ Medium 339) | Medium recipe at MediaDive | Name: WILKINS-CHALGREN ANAEROBE BROTH (DSMZ Medium 339) Composition: dehydrated Wilkins-Chalgren medium 33.0 g/l L-Cysteine HCl 0.3 g/l Sodium resazurin 0.0005 g/l Distilled water |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Host Body Product | #Gastrointestinal tract | #Feces (Stool) | |
| #Host | #Mammals | #Suidae (Pig,Swine) |
Global distribution of 16S sequence MN537480 (>99% sequence identity) for Olsenella porci subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM969587v1 assembly for Olsenella porci CA-Schmier-601-WT-1 | contig | 2652279 | 65.07 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 65865 | Olsenella porci strain CA-Schmier-601-WT-1 16S ribosomal RNA gene, partial sequence | MN537480 | 1463 | 2652279 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 67770 | 64.9 | genome sequence analysis |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | facultative anaerobe | 91.00 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 53.97 | no |
| 125439 | motility | BacteriaNetⓘ | no | 61.82 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 98.64 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 77.70 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 87.58 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 74.31 | no |
| 125438 | aerobic | aerobicⓘ | no | 95.38 | no |
| 125438 | thermophilic | thermophileⓘ | no | 93.68 | no |
| 125438 | flagellated | motile2+ⓘ | no | 90.13 | no |
| #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 ) |
| #65865 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 105246 |
| #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) . |
| #67770 | Japan Collection of Microorganism (JCM) ; Curators of the JCM; |
| #69479 | João F Matias Rodrigues, Janko Tackmann,Gregor Rot, Thomas SB Schmidt, Lukas Malfertheiner, Mihai Danaila,Marija Dmitrijeva, Daniela Gaio, Nicolas Näpflin and Christian von Mering. University of Zurich.: MicrobeAtlas 1.0 beta . |
| #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/bacdive159042.20260601.11
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BacDive in 2025: the core database for prokaryotic strain data