Achromobacter denitrificans CCUG 3353 is a mesophilic prokaryote that was isolated from Soil or water using Ls-alloisocitrate.
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 | Gram stain | Confidence | |
|---|---|---|---|
| 125438 | negative | 97.828 |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 67770 | positive | growth | 30 | mesophilic |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|
| 67770 | LMG 3412 assembly for Achromobacter deleyi LMG 3412 | contig | 1353891 | 34.66 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 87.50 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 51.70 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 71.40 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 87.90 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 97.83 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 98.19 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 88.86 | no |
| 125438 | aerobic | aerobicⓘ | yes | 88.83 | no |
| 125438 | thermophilic | thermophileⓘ | no | 98.96 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 83.87 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Multilocus sequence analysis of isolates of Achromobacter from patients with cystic fibrosis reveals infecting species other than Achromobacter xylosoxidans. | Ridderberg W, Wang M, Norskov-Lauritsen N. | J Clin Microbiol | 10.1128/jcm.00728-12 | 2012 |
| #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 ) |
| #44647 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 3353 |
| #67770 | Japan Collection of Microorganism (JCM) ; Curators of the JCM; |
| #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/bacdive141589.20251217.10
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BacDive in 2025: the core database for prokaryotic strain data