Achromobacter anxifer Vandamme R-47433 is an aerobe, mesophilic, Gram-negative bacterium that was isolated from human sputum, CF patient.
Gram-negative aerobe mesophilic genome sequence 16S sequence Bacteria|
|
| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Betaproteobacteria |
| Order Burkholderiales |
| Family Alcaligenaceae |
| Genus Achromobacter |
| Species Achromobacter anxifer |
| Full scientific name Achromobacter anxifer Vandamme et al. 2014 |
| BacDive ID | Other strains from Achromobacter anxifer (2) | Type strain |
|---|---|---|
| 156535 | A. anxifer CCUG 62445, LMG 26858 | |
| 157257 | A. anxifer CCUG 71677 |
| @ref | Name | Growth | Medium link | |
|---|---|---|---|---|
| 116418 | CIP Medium 72 | Medium recipe at CIP |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 62848 | positive | growth | 37 | mesophilic |
| @ref | Biosafety level | Biosafety level comment | |
|---|---|---|---|
| 116418 | 1 | Risk group (French classification) |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 124043 | Achromobacter anxifer partial 16S rRNA gene, type strain LMG 26857T | HF586508 | 1483 | 1287737 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 98.80 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 85.90 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 99.10 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 97.50 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 97.60 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 97.98 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 89.36 | no |
| 125438 | aerobic | aerobicⓘ | yes | 91.12 | yes |
| 125438 | thermophilic | thermophileⓘ | no | 99.99 | no |
| 125438 | flagellated | motile2+ⓘ | yes | 86.41 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Achromobacter aestuarii sp. nov., Isolated from an Estuary. | Kim SC, Chung SO, Lee HJ | Curr Microbiol | 10.1007/s00284-020-02231-9 | 2020 | |
| Phylogeny | Classification of Achromobacter genogroups 2, 5, 7 and 14 as Achromobacter insuavis sp. nov., Achromobacter aegrifaciens sp. nov., Achromobacter anxifer sp. nov. and Achromobacter dolens sp. nov., respectively. | Vandamme P, Moore ER, Cnockaert M, Peeters C, Svensson-Stadler L, Houf K, Spilker T, LiPuma JJ | Syst Appl Microbiol | 10.1016/j.syapm.2013.06.005 | 2013 |
| @ref | Straininfo | Culture collections | |
|---|---|---|---|
| 109755 | 376313 | LMG 26857, CCUG 62444 |
| Culture collection no. | |
|---|---|
| CCUG 62444 | |
| LMG 26857 | |
| CIP 110712 | |
| Vandamme R-47433 | |
| LiPuma AU11412 |
| #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 ) |
| #62848 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 62444 |
| #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) . |
| #109755 | Reimer, L.C., Lissin, A.,Schober, I., Witte,J.F., Podstawka, A., Lüken, H., Bunk, B.,Overmann, J.: StrainInfo: A central database for resolving microbial strain identifiers . ( DOI 10.60712/SI-ID376313.1 ) |
| #116418 | Collection of Institut Pasteur ; Curators of the CIP; CIP 110712 |
| #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 . |
You found an error in BacDive? Please tell us about it!
Note that changes will be reviewed and judged. If your changes are legitimate, changes will occur within the next BacDive update. Only proposed changes supported by the according reference will be reviewed. The BacDive team reserves the right to reject proposed changes.
Successfully sent