Achromobacter anxifer Vandamme R-47433 is an aerobe, mesophilic, Gram-negative prokaryote that was isolated from human sputum, CF patient.
Gram-negative motile rod-shaped aerobe mesophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Pseudomonadati |
| 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 | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | LMG 26857 assembly for Achromobacter anxifer LMG 26857 | contig | 1287737 | 69.41 |
| @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 | |
|---|---|---|---|---|---|---|
| Genetics | Gene Family Evolution Suggests Correlated Dietary Adaptations in Butterflies and Moths. | Weng YM, Martinez JI, Markee A, Plotkin D, Sondhi Y, Mongue AJ, Frandsen PB, Kawahara AY. | Genome Biol Evol | 10.1093/gbe/evaf156 | 2025 | |
| Genetics | Combining Flow Cytometry and Metagenomics Improves Recovery of Metagenome-Assembled Genomes in a Cell Culture from Activated Sludge. | Abdulkadir N, Saraiva JP, Schattenberg F, Toscan RB, Borim Correa F, Harms H, Muller S, da Rocha UN. | Microorganisms | 10.3390/microorganisms11010175 | 2023 | |
| Metabolism | Aerobic and oxygen-limited naphthalene-amended enrichments induced the dominance of Pseudomonas spp. from a groundwater bacterial biofilm. | Benedek T, Szentgyorgyi F, Szabo I, Farkas M, Duran R, Kriszt B, Tancsics A. | Appl Microbiol Biotechnol | 10.1007/s00253-020-10668-y | 2020 | |
| Achromobacter Infections and Treatment Options. | Isler B, Kidd TJ, Stewart AG, Harris P, Paterson DL. | Antimicrob Agents Chemother | 10.1128/aac.01025-20 | 2020 | ||
| 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 |
| #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) . |
| #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 . |
| #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/bacdive156534.20251217.10
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data