Azoarcus olearius DQS-4 is a bacterium that was isolated from oil-contaminated soil.
genome sequence 16S sequence Bacteria| @ref 20215 |
|
|
| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Betaproteobacteria |
| Order Rhodocyclales |
| Family Zoogloeaceae |
| Genus Azoarcus |
| Species Azoarcus olearius |
| Full scientific name Azoarcus olearius Chen et al. 2013 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 21488 | TRYPTICASE SOY BROTH AGAR (DSMZ Medium 535) | Medium recipe at MediaDive | Name: TRYPTICASE SOY BROTH AGAR (DSMZ Medium 535) Composition: Trypticase soy broth 30.0 g/l Agar 15.0 g/l Distilled water |
| @ref | Growth | Type | Temperature (°C) | |
|---|---|---|---|---|
| 21488 | positive | growth | 37 |
| @ref | Oxygen tolerance | Confidence | |
|---|---|---|---|
| 125439 | obligate aerobe | 94.784 |
| @ref | Spore formation | Confidence | |
|---|---|---|---|
| 125439 | 99.838 |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 68369 | 17128 ChEBI | adipate | - | assimilation | from API 20NE |
| 68369 | 29016 ChEBI | arginine | - | hydrolysis | from API 20NE |
| 68369 | 17634 ChEBI | D-glucose | - | assimilation | from API 20NE |
| 68369 | 17634 ChEBI | D-glucose | - | fermentation | from API 20NE |
| 68369 | 16899 ChEBI | D-mannitol | - | assimilation | from API 20NE |
| 68369 | 16024 ChEBI | D-mannose | - | assimilation | from API 20NE |
| 68369 | 27689 ChEBI | decanoate | - | assimilation | from API 20NE |
| 68369 | 5291 ChEBI | gelatin | - | hydrolysis | from API 20NE |
| 68369 | 24265 ChEBI | gluconate | - | assimilation | from API 20NE |
| 68369 | 30849 ChEBI | L-arabinose | - | assimilation | from API 20NE |
| 68369 | 25115 ChEBI | malate | + | assimilation | from API 20NE |
| 68369 | 17306 ChEBI | maltose | - | assimilation | from API 20NE |
| 68369 | 59640 ChEBI | N-acetylglucosamine | - | assimilation | from API 20NE |
| 68369 | 17632 ChEBI | nitrate | + | reduction | from API 20NE |
| 68369 | 27897 ChEBI | tryptophan | - | energy source | from API 20NE |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Engineered | #Contamination | #Oil (Fuel) | |
| #Environmental | #Terrestrial | #Soil |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | Latitude | Longitude | |
|---|---|---|---|---|---|---|---|---|
| 21488 | oil-contaminated soil | Kaoshiung City, Chinese Petroleum Corporation refinery | Taiwan, Province of China | TWN | Asia | 22.7217 | 120.296 22.7217/120.296 |
Global distribution of 16S sequence EF158388 (>99% sequence identity) for Azoarcus olearius subclade from Microbeatlas ![]()
| @ref | Biosafety level | Biosafety level comment | |
|---|---|---|---|
| 21488 | 1 | Risk group (German classification) |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM168238v1 assembly for Azoarcus olearius DQS-4 | complete | 418699 | 97.46 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 21488 | Azoarcus olearius strain DQS-4 16S ribosomal RNA gene, partial sequence | EF158388 | 1456 | 418699 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 94.78 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 98.52 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 99.84 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 88.09 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 98.50 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 84.58 | no |
| 125438 | aerobic | aerobicⓘ | yes | 68.99 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 88.77 | no |
| 125438 | thermophilic | thermophileⓘ | no | 95.66 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 87.58 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Metabolism | Two-stage enrichment of hydrogen-oxidizing bacteria as biofertilizers. | Zhang W, Li YX, Niu Y, Zhang F, Li YB, Zeng RJ | Chemosphere | 10.1016/j.chemosphere.2020.128932 | 2020 | |
| Metabolism | The oil-contaminated soil diazotroph Azoarcus olearius DQS-4(T) is genetically and phenotypically similar to the model grass endophyte Azoarcus sp. BH72. | Faoro H, Rene Menegazzo R, Battistoni F, Gyaneshwar P, do Amaral FP, Taule C, Rausch S, Goncalves Galvao P, de Los Santos C, Mitra S, Heijo G, Sheu SY, Chen WM, Mareque C, Zibetti Tadra-Sfeir M, Ivo Baldani J, Maluk M, Paula Guimaraes A, Stacey G, de Souza EM, Pedrosa FO, Magalhaes Cruz L, James EK | Environ Microbiol Rep | 10.1111/1758-2229.12502 | 2017 | |
| Phylogeny | Azoarcus halotolerans sp. nov., a novel member of Rhodocyclaceae isolated from activated sludge collected in Hong Kong. | Li S, Zhao L, Han J, Liu S, Dai J, Fu G, Qiu D | Int J Syst Evol Microbiol | 10.1099/ijsem.0.004476 | 2020 | |
| Phylogeny | Azoarcus olearius sp. nov., a nitrogen-fixing bacterium isolated from oil-contaminated soil. | Chen MH, Sheu SY, James EK, Young CC, Chen WM | Int J Syst Evol Microbiol | 10.1099/ijs.0.050609-0 | 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 ) |
| #21488 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 100663 |
| #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) . |
| #68369 | Automatically annotated from API 20NE . |
| #69479 | João F Matias Rodrigues, Janko Tackmann,Gregor Rot, Thomas SB Schmidt, Lukas Malfertheiner, Mihai Danaila,Marija Dmitrijeva, Daniela Gaio, Nicolas Näpflin and Christian von Mering. University of Zurich.: MicrobeAtlas 1.0 beta . |
| #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/bacdive130649.20260601.11
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