CIP 56.2 is an obligate aerobe, Gram-negative, rod-shaped bacterium of the family Moraxellaceae.
Gram-negative rod-shaped obligate aerobe genome sequence 16S sequence Bacteria| @ref 20215 |
|
|
| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Gammaproteobacteria |
| Order Pseudomonadales |
| Family Moraxellaceae |
| Genus Acinetobacter |
| Full scientific name Acinetobacter Brisou and Prévot 1954 (Approved Lists 1980) |
| @ref | Name | Growth | Composition | Medium link | |
|---|---|---|---|---|---|
| 42139 | MEDIUM 72- for trypto casein soja agar | Distilled water make up to (1000.000 ml);Trypto casein soy agar (40.000 g) | |||
| 42139 | CIP Medium 72 | Medium recipe at CIP |
| @ref | Spore formation | Confidence | |
|---|---|---|---|
| 125438 | 96.195 |
| @ref | Metabolite | Is sensitive | Is resistant | |
|---|---|---|---|---|
| 42139 | 0129 (2,4-Diamino-6,7-di-iso-propylpteridine phosphate) |
| @ref | Value | Activity | Ec | |
|---|---|---|---|---|
| 68382 | acid phosphatase | + | 3.1.3.2 | from API zym |
| 68382 | alkaline phosphatase | + | 3.1.3.1 | from API zym |
| 68382 | alpha-chymotrypsin | - | 3.4.21.1 | from API zym |
| 68382 | alpha-fucosidase | - | 3.2.1.51 | from API zym |
| 68382 | alpha-galactosidase | - | 3.2.1.22 | from API zym |
| 68382 | alpha-glucosidase | - | 3.2.1.20 | from API zym |
| 68382 | alpha-mannosidase | - | 3.2.1.24 | from API zym |
| 68382 | beta-galactosidase | - | 3.2.1.23 | from API zym |
| 42139 | beta-galactosidase | - | 3.2.1.23 | |
| 68382 | beta-glucosidase | - | 3.2.1.21 | from API zym |
| 68382 | beta-glucuronidase | - | 3.2.1.31 | from API zym |
| 42139 | catalase | + | 1.11.1.6 | |
| 68382 | cystine arylamidase | + | 3.4.11.3 | from API zym |
| 68382 | esterase (C 4) | + | from API zym | |
| 68382 | esterase lipase (C 8) | + | from API zym | |
| 42139 | gamma-glutamyltransferase | - | 2.3.2.2 | |
| 42139 | gelatinase | + | ||
| 68382 | leucine arylamidase | + | 3.4.11.1 | from API zym |
| 68382 | lipase (C 14) | + | from API zym | |
| 68382 | N-acetyl-beta-glucosaminidase | - | 3.2.1.52 | from API zym |
| 68382 | naphthol-AS-BI-phosphohydrolase | + | from API zym | |
| 42139 | oxidase | - | ||
| 68382 | trypsin | - | 3.4.21.4 | from API zym |
| 42139 | urease | - | 3.5.1.5 | |
| 68382 | valine arylamidase | + | from API zym |
| @ref | Biosafety level | Biosafety level comment | |
|---|---|---|---|
| 42139 | 1 | Risk group (French classification) |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | Acin_sp_CIP_56_2_V1 assembly for Acinetobacter higginsii CIP 56.2 | scaffold | 1144672 | 74.87 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 97.09 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 42.49 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 88.55 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 50.57 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 97.50 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 97.28 | yes |
| 125438 | aerobic | aerobicⓘ | yes | 89.78 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 96.20 | no |
| 125438 | thermophilic | thermophileⓘ | no | 98.50 | no |
| 125438 | flagellated | motile2+ⓘ | no | 71.82 | 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 ) |
| #42139 | Collection of Institut Pasteur ; Curators of the CIP; CIP 56.2 |
| #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) . |
| #68382 | Automatically annotated from API zym . |
| #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 . |
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