Aromatoleum aromaticum EbN1 is a mesophilic prokaryote that was isolated from water of River Weser and ditches.
mesophilic genome sequence| @ref 20215 |
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| Domain Pseudomonadati |
| Phylum Pseudomonadota |
| Class Betaproteobacteria |
| Order Rhodocyclales |
| Family Zoogloeaceae |
| Genus Aromatoleum |
| Species Aromatoleum aromaticum |
| Full scientific name Aromatoleum aromaticum Rabus et al. 2019 |
| BacDive ID | Other strains from Aromatoleum aromaticum (1) | Type strain |
|---|---|---|
| 158118 | A. aromaticum pCyN1, DSM 19016, LMG 31004 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 64698 | R2A MEDIUM (DSMZ Medium 830) | Medium recipe at MediaDive | Name: R2A MEDIUM (DSMZ Medium 830) Composition: Agar 15.0 g/l Casamino acids 0.5 g/l Starch 0.5 g/l Glucose 0.5 g/l Proteose peptone 0.5 g/l Yeast extract 0.5 g/l K2HPO4 0.3 g/l Na-pyruvate 0.3 g/l MgSO4 x 7 H2O 0.05 g/l Distilled water | ||
| 64698 | AROMATOLEUM MEDIUM (DSMZ Medium 1712) | Medium recipe at MediaDive | Name: AROMATOLEUM MEDIUM (DSMZ Medium 1712) Composition: NaHCO3 3.53684 g/l Na2HPO4-NaH2PO4 buffer 1.91579 g/l Ascorbic acid 0.741053 g/l NaNO3 0.631579 g/l Sodiumbenzoate 0.606316 g/l KH2PO4 0.526316 g/l MgSO4 x 7 H2O 0.526316 g/l NH4Cl 0.315789 g/l CaCl2 x 2 H2O 0.105263 g/l Na2-EDTA 0.00547368 g/l FeSO4 x 7 H2O 0.00221053 g/l 2-Mercaptoethanesulfonic acid 0.000263158 g/l CoCl2 x 6 H2O 0.0002 g/l Pyridoxal hydrochloride 0.000157895 g/l ZnSO4 x 7 H2O 0.000151579 g/l MnCl2 x 4 H2O 0.000105263 g/l Nicotinic acid 0.000105263 g/l Cyanocobalamine 5.26316e-05 g/l Calcium D-(+)-pantothenate 5.26316e-05 g/l 4-Aminobenzoic Acid 4.21053e-05 g/l Folic acid 4.21053e-05 g/l Na2MoO4 x 2 H2O 3.78947e-05 g/l H3BO3 3.15789e-05 g/l CuSO4 x 5 H2O 3.05263e-05 g/l NiCl2 x 6 H2O 2.52632e-05 g/l DL-alpha-lipoic acid 1.57895e-05 g/l D-(+)-biotin 1.05263e-05 g/l Double distilled water Distilled water |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 64698 | positive | growth | 28 | mesophilic |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 64698 | water of River Weser and ditches | Bremen | Germany | DEU | Europe |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 96.30 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 70.90 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 91.10 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 95.10 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 98.00 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 79.21 | no |
| 125438 | aerobic | aerobicⓘ | yes | 59.04 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 87.85 | no |
| 125438 | thermophilic | thermophileⓘ | no | 94.13 | no |
| 125438 | flagellated | motile2+ⓘ | yes | 78.54 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Aromatoleum gen. nov., a novel genus accommodating the phylogenetic lineage including Azoarcus evansii and related species, and proposal of Aromatoleum aromaticum sp. nov., Aromatoleum petrolei sp. nov., Aromatoleum bremense sp. nov., Aromatoleum toluolicum sp. nov. and Aromatoleum diolicum sp. nov. | Rabus R, Wohlbrand L, Thies D, Meyer M, Reinhold-Hurek B, Kampfer P | Int J Syst Evol Microbiol | 10.1099/ijsem.0.003244 | 2019 |
| #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 ) |
| #64698 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 19018 |
| #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) . |
| #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/bacdive158119.20251217.10
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data