Geotalea toluenoxydans TMJ1 is an anaerobe, Gram-negative, rod-shaped bacterium that was isolated from sludge of a monitoring well at a tar-oil contaminated aquifer.
Gram-negative rod-shaped anaerobe genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Thermodesulfobacteriota |
| Class Desulfuromonadia |
| Order Geobacterales |
| Family Geobacteraceae |
| Genus Geotalea |
| Species Geotalea toluenoxydans |
| Full scientific name Geotalea toluenoxydans (Kunapuli et al. 2010) Waite et al. 2020 |
| Synonyms (1) |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 8065 | GEOANAEROBACTER MEDIUM (DSMZ Medium 838) | Medium recipe at MediaDive | Name: GEOANAEROBACTER MEDIUM (DSMZ Medium 838) Composition: Ferric citrate monohydrate 9.98004 g/l Na2CO3 1.49701 g/l Na-acetate 0.798403 g/l Na-ascorbate 0.798403 g/l KH2PO4 0.598802 g/l MgSO4 x 7 H2O 0.499002 g/l NH4Cl 0.299401 g/l CaCl2 x 2 H2O 0.0998004 g/l Na2-EDTA x 2 H2O 0.00518962 g/l FeCl2 x 4 H2O 0.00149701 g/l NaOH 0.000499002 g/l CoCl2 x 6 H2O 0.000189621 g/l MnCl2 x 4 H2O 9.98004e-05 g/l ZnCl2 6.98603e-05 g/l Na2MoO4 x 2 H2O 3.59281e-05 g/l NiCl2 x 6 H2O 2.39521e-05 g/l H3BO3 5.98802e-06 g/l Na2WO4 x 2 H2O 3.99202e-06 g/l Na2SeO3 x 5 H2O 2.99401e-06 g/l CuCl2 x 2 H2O 1.99601e-06 g/l Distilled water |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Engineered | #Contamination | #Oil (Fuel) | |
| #Engineered | #Industrial | #Oil reservoir | |
| #Environmental | #Aquatic | - | |
| #Environmental | #Terrestrial | #Mud (Sludge) |
Global distribution of 16S sequence EU711072 (>99% sequence identity) for Geobacter from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 67770 | ASM131198v1 assembly for Geotalea toluenoxydans JCM 15764 | contig | 1294260 | 36.03 | ||||
| 66792 | Geobacter toluenoxydans JCM 15764 | contig | 1294260 | 31.7 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 8065 | Geobacter toluenoxydans strain TMJ1 16S ribosomal RNA gene, partial sequence | EU711072 | 1440 | 1294260 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate anaerobe | 82.29 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 95.22 | no |
| 125439 | motility | BacteriaNetⓘ | no | 70.42 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 99.16 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 96.47 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 75.03 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 87.19 | no |
| 125438 | aerobic | aerobicⓘ | no | 81.52 | no |
| 125438 | thermophilic | thermophileⓘ | no | 86.80 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 68.41 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Dactylosporangium siamense sp. nov., isolated from soil. | Thawai C, Suriyachadkun C. | Int J Syst Evol Microbiol | 10.1099/ijs.0.052092-0 | 2013 | |
| Phylogeny | Desulfitobacterium aromaticivorans sp. nov. and Geobacter toluenoxydans sp. nov., iron-reducing bacteria capable of anaerobic degradation of monoaromatic hydrocarbons. | Kunapuli U, Jahn MK, Lueders T, Geyer R, Heipieper HJ, Meckenstock RU | Int J Syst Evol Microbiol | 10.1099/ijs.0.003525-0 | 2009 |
| #8065 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 19350 |
| #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 ) |
| #25437 | IJSEM 686 2010 ( DOI 10.1099/ijs.0.003525-0 , PubMed 19656942 ) |
| #29004 | Barberan A, Caceres Velazquez H, Jones S, Fierer N.: Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information. mSphere 2: 2017 ( DOI 10.1128/mSphere.00237-17 , PubMed 28776041 ) - originally annotated from #25437 |
| #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) . |
| #67770 | Japan Collection of Microorganism (JCM) ; Curators of the JCM; |
| #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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