Acinetobacter radioresistens 108349 is a mesophilic prokaryote that was isolated from swab.
mesophilic genome sequence| @ref 20215 |
|
|
| Domain Pseudomonadati |
| Phylum Pseudomonadota |
| Class Gammaproteobacteria |
| Order Pseudomonadales |
| Family Moraxellaceae |
| Genus Acinetobacter |
| Species Acinetobacter radioresistens |
| Full scientific name Acinetobacter radioresistens Nishimura et al. 1988 |
| @ref | Gram stain | Confidence | |
|---|---|---|---|
| 125438 | negative | 98.167 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 68629 | 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) | Range | |
|---|---|---|---|---|---|
| 68629 | positive | growth | 37 | mesophilic |
| @ref | Spore formation | Confidence | |
|---|---|---|---|
| 125438 | 95.293 |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 68629 | swab | Dresden | Germany | DEU | Europe |
| @ref | Biosafety level | Biosafety level comment | |
|---|---|---|---|
| 68629 | 1 | Risk group (German classification) |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|
| 66792 | ASM2312765v1 assembly for Acinetobacter radioresistens DSM 108349 | contig | 40216 | 60.29 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 98.17 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 96.06 | no |
| 125438 | aerobic | aerobicⓘ | yes | 87.50 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 95.29 | no |
| 125438 | thermophilic | thermophileⓘ | no | 98.48 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 80.84 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Comparative Study of Different Diagnostic Routine Methods for the Identification of Acinetobacter radioresistens. | Bigge R, Bunk B, Rudolph WW, Gunzer F, Coldewey SM, Riedel T, Schrottner P. | Microorganisms | 10.3390/microorganisms10091767 | 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) . |
| #68629 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 108349 |
| #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 ) |
| #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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