Corynebacterium xerosis BL-383-APC-2I is a bacterium that was isolated from feces; pig, 5 month old, genotype: APC1311/+ referring to the adenomatous-polyposis-coli protein.
genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Actinomycetota |
| Class Actinomycetes |
| Order Mycobacteriales |
| Family Corynebacteriaceae |
| Genus Corynebacterium |
| Species Corynebacterium xerosis |
| Full scientific name Corynebacterium xerosis (Lehmann and Neumann 1896) Lehmann and Neumann 1899 (Approved Lists 1980) |
| Synonyms (1) |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 65743 | TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92) | Medium recipe at MediaDive | Name: TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92) Composition: Trypticase soy broth 30.0 g/l Agar 15.0 g/l Yeast extract 3.0 g/l Distilled water |
| @ref | Growth | Type | Temperature (°C) | |
|---|---|---|---|---|
| 65743 | positive | growth | 37 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Host Body Product | #Gastrointestinal tract | #Feces (Stool) | |
| #Host | #Mammals | #Suidae (Pig,Swine) |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 65743 | feces; pig, 5 month old, genotype: APC1311/+ referring to the adenomatous-polyposis-coli (APC) protein | Munich | Germany | DEU | Europe |
Global distribution of 16S sequence MN537528 (>99% sequence identity) for Corynebacterium xerosis from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|
| 66792 | ASM1284391v1 assembly for Corynebacterium xerosis BL-383-APC-2I | contig | 1725 | 72.8 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 65743 | Corynebacterium sp. strain DSM 107249 16S ribosomal RNA gene, partial sequence | MN537528 | 1443 | 1720 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 88.23 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 91.70 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 87.20 | no |
| 125439 | motility | BacteriaNetⓘ | no | 82.60 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 91.41 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 91.74 | no |
| 125438 | aerobic | aerobicⓘ | yes | 59.98 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 81.68 | no |
| 125438 | thermophilic | thermophileⓘ | no | 96.97 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 92.00 | 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 ) |
| #65743 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 107249 |
| #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) . |
| #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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If you want to cite this particular strain cite the following doi:
https://doi.org/10.13145/bacdive158921.20260601.11
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data