Acinetobacter variabilis CIP 110487 is a Gram-negative, oval-shaped bacterium of the family Moraxellaceae.
Gram-negative oval-shaped genome sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Gammaproteobacteria |
| Order Pseudomonadales |
| Family Moraxellaceae |
| Genus Acinetobacter |
| Species Acinetobacter variabilis |
| Full scientific name Acinetobacter variabilis Krizova et al. 2015 |
| Synonyms (2) |
| BacDive ID | Other strains from Acinetobacter variabilis (5) | Type strain |
|---|---|---|
| 132198 | A. variabilis strain Tjernberg & Ursing 151a, DSM 102977, ... (type strain) | |
| 145364 | A. variabilis CCUG 28276 | |
| 155953 | A. variabilis CCUG 59763 | |
| 155982 | A. variabilis CCUG 59880 | |
| 156607 | A. variabilis CCUG 63497 |
| @ref | Name | Growth | Composition | Medium link | |
|---|---|---|---|---|---|
| 36624 | MEDIUM 72- for trypto casein soja agar | Distilled water make up to (1000.000 ml);Trypto casein soy agar (40.000 g) | |||
| 36624 | CIP Medium 72 | Medium recipe at CIP |
| @ref | Growth | Type | Temperature (°C) | |
|---|---|---|---|---|
| 36624 | positive | growth | 30 |
| @ref | Biosafety level | Biosafety level comment | |
|---|---|---|---|
| 36624 | 1 | Risk group (French classification) |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | Acin_sp_NIPH_899_V1 assembly for Acinetobacter variabilis NIPH 899 | scaffold | 70346 | 61.21 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 94.50 | no |
| 125439 | gram_stain | BacteriaNetⓘ | variable | 74.60 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 52.20 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 78.70 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 99.50 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 96.93 | no |
| 125438 | aerobic | aerobicⓘ | yes | 87.86 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 94.65 | no |
| 125438 | thermophilic | thermophileⓘ | no | 98.98 | no |
| 125438 | flagellated | motile2+ⓘ | no | 78.55 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| A comprehensive genomic analysis provides insights on the high environmental adaptability of Acinetobacter strains. | Zhao Y, Wei HM, Yuan JL, Xu L, Sun JQ. | Front Microbiol | 10.3389/fmicb.2023.1177951 | 2023 | ||
| Phylogeny | Acinetobacter variabilis sp. nov. (formerly DNA group 15 sensu Tjernberg & Ursing), isolated from humans and animals. | Krizova L, McGinnis J, Maixnerova M, Nemec M, Poirel L, Mingle L, Sedo O, Wolfgang W, Nemec A | Int J Syst Evol Microbiol | 10.1099/ijs.0.000028 | 2014 |
| #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 ) |
| #36624 | Collection of Institut Pasteur ; Curators of the CIP; CIP 110487 |
| #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/bacdive136891.20251217.10
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data