Achromobacter denitrificans DSM 4612 is a mesophilic prokaryote of the family Alcaligenaceae.
mesophilic genome sequence| @ref 20215 |
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| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Betaproteobacteria |
| Order Burkholderiales |
| Family Alcaligenaceae |
| Genus Achromobacter |
| Species Achromobacter denitrificans |
| Full scientific name Achromobacter denitrificans (Rüger and Tan 1983 ex Leifson and Hugh 1954) Coenye et al. 2003 |
| Synonyms (3) |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 1802 | NUTRIENT AGAR (DSMZ Medium 1) | Medium recipe at MediaDive | Name: NUTRIENT AGAR (DSMZ Medium 1) Composition: Agar 15.0 g/l Peptone 5.0 g/l Meat extract 3.0 g/l Distilled water | ||
| 36487 | MEDIUM 3 - Columbia agar | Columbia agar (39.000 g);distilled water (1000.000 ml) |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|
| 124043 | ASM1326737v1 assembly for Achromobacter denitrificans FDAARGOS_788 | complete | 32002 | 95.67 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 94.50 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 79.90 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 94.10 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | aerobe | 92.60 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 96.68 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 96.85 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 87.37 | no |
| 125438 | aerobic | aerobicⓘ | yes | 87.62 | no |
| 125438 | thermophilic | thermophileⓘ | no | 98.49 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 85.32 | no |
| #1802 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 4612 |
| #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 ) |
| #36487 | ; Curators of the CIP; |
| #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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https://doi.org/10.13145/bacdive316.20251217.10
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BacDive in 2025: the core database for prokaryotic strain data