Acinetobacter baumannii CIP 110463 is a mesophilic, Gram-negative, oval-shaped prokaryote of the family Moraxellaceae.
Gram-negative oval-shaped mesophilic genome sequence| @ref 20215 |
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| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Gammaproteobacteria |
| Order Pseudomonadales |
| Family Moraxellaceae |
| Genus Acinetobacter |
| Species Acinetobacter baumannii |
| Full scientific name Acinetobacter baumannii Bouvet and Grimont 1986 |
| @ref | Name | Growth | Composition | Medium link | |
|---|---|---|---|---|---|
| 36311 | MEDIUM 72- for trypto casein soja agar | Distilled water make up to (1000.000 ml);Trypto casein soy agar (40.000 g) | |||
| 36311 | CIP Medium 72 | Medium recipe at CIP |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 36311 | positive | growth | 30 | mesophilic |
| @ref | Biosafety level | Biosafety level comment | |
|---|---|---|---|
| 36311 | 1 | Risk group (French classification) |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 124043 | ASM4505616v1 assembly for Acinetobacter baumannii NIPH 1362 | contig | 470 | 74.77 | ||||
| 66792 | Acin_baum_NIPH_1362_V1 assembly for Acinetobacter baumannii NIPH 1362 | scaffold | 1217642 | 73.23 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 97.00 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 91.20 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 62.30 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 88.50 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 98.00 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 98.35 | no |
| 125438 | aerobic | aerobicⓘ | yes | 89.01 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 91.01 | no |
| 125438 | thermophilic | thermophileⓘ | no | 99.98 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 75.18 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Pathogenicity | Deciphering Multifactorial Resistance Phenotypes in Acinetobacter baumannii by Genomics and Targeted Label-free Proteomics. | Cecchini T, Yoon EJ, Charretier Y, Bardet C, Beaulieu C, Lacoux X, Docquier JD, Lemoine J, Courvalin P, Grillot-Courvalin C, Charrier JP. | Mol Cell Proteomics | 10.1074/mcp.ra117.000107 | 2018 | |
| Database for the ampC alleles in Acinetobacter baumannii. | Karah N, Jolley KA, Hall RM, Uhlin BE. | PLoS One | 10.1371/journal.pone.0176695 | 2017 | ||
| Phylogeny | Identification of 50 class D beta-lactamases and 65 Acinetobacter-derived cephalosporinases in Acinetobacter spp. | Perichon B, Goussard S, Walewski V, Krizova L, Cerqueira G, Murphy C, Feldgarden M, Wortman J, Clermont D, Nemec A, Courvalin P. | Antimicrob Agents Chemother | 10.1128/aac.01261-13 | 2014 | |
| The population structure of Acinetobacter baumannii: expanding multiresistant clones from an ancestral susceptible genetic pool. | Diancourt L, Passet V, Nemec A, Dijkshoorn L, Brisse S. | PLoS One | 10.1371/journal.pone.0010034 | 2010 |
| #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 ) |
| #36311 | Collection of Institut Pasteur ; Curators of the CIP; CIP 110463 |
| #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) . |
| #124043 | Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy . |
| #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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