Thermus oshimai JL-2 is a bacterium that was isolated from Great Boiling Spring, Gerlach.
genome sequence Bacteria| @ref 20215 |
|
|
| Domain Bacteria |
| Phylum Deinococcota |
| Class Deinococci |
| Order Thermales |
| Family Thermaceae |
| Genus Thermus |
| Species Thermus oshimai |
| Full scientific name Thermus oshimai Williams et al. 1996 |
| BacDive ID | Other strains from Thermus oshimai (2) | Type strain |
|---|---|---|
| 16726 | T. oshimai SPS-17, DSM 12092, JCM 11603, ATCC 700435, ... (type strain) | |
| 164116 | T. oshimai JCM 31668 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 42461 | CASTENHOLZ MEDIUM (DSMZ Medium 86) | Medium recipe at MediaDive | Name: CASTENHOLZ MEDIUM (DSMZ Medium 86) Composition: Yeast extract 1.0 g/l Tryptone 1.0 g/l NaNO3 0.689 g/l Na2HPO4 x 2 H2O 0.14 g/l KNO3 0.103 g/l MgSO4 x 7 H2O 0.1 g/l Nitrilotriacetic acid 0.1 g/l CaSO4 x 2 H2O 0.06 g/l NaCl 0.008 g/l MnSO4 x H2O 0.0022 g/l H3BO3 0.0005 g/l ZnSO4 x 7 H2O 0.0005 g/l FeCl3 x 6 H2O 0.00047 g/l CoCl2 x 6 H2O 4.6e-05 g/l CuSO4 x 5 H2O 2.5e-05 g/l Na2MoO4 x 2 H2O 2.5e-05 g/l Distilled water |
| @ref | Growth | Type | Temperature (°C) | |
|---|---|---|---|---|
| 42461 | positive | growth | 75 |
| @ref | Oxygen tolerance | Confidence | |
|---|---|---|---|
| 125439 | facultative anaerobe | 100 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Condition | #Thermophilic (>45°C) | - | |
| #Environmental | #Aquatic | #Thermal spring |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 42461 | Great Boiling Spring, Gerlach | Nevada | USA | USA | North America |
| @ref | Biosafety level | Biosafety level comment | |
|---|---|---|---|
| 42461 | 1 | Risk group (German classification) |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM30988v1 assembly for Thermus oshimai JL-2 | complete | 751945 | 96.37 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 63.80 | no |
| 125439 | motility | BacteriaNetⓘ | no | 75.40 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 75.00 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | facultative anaerobe | 100.00 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 72.84 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 84.51 | no |
| 125438 | aerobic | aerobicⓘ | yes | 75.72 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 71.34 | no |
| 125438 | thermophilic | thermophileⓘ | yes | 75.69 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 78.80 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Metabolism | A Novel Gene Cluster Is Involved in the Degradation of Lignin-Derived Monoaromatics in Thermus oshimai JL-2. | Chakraborty J, Suzuki-Minakuchi C, Tomita T, Okada K, Nojiri H | Appl Environ Microbiol | 10.1128/AEM.01589-20 | 2021 | |
| Thermus oshimai JL-2 and T. thermophilus JL-18 genome analysis illuminates pathways for carbon, nitrogen, and sulfur cycling. | Murugapiran SK, Huntemann M, Wei CL, Han J, Detter JC, Han C, Erkkila TH, Teshima H, Chen A, Kyrpides N, Mavrommatis K, Markowitz V, Szeto E, Ivanova N, Pagani I, Pati A, Goodwin L, Peters L, Pitluck S, Lam J, McDonald AI, Dodsworth JA, Woyke T, Hedlund BP | Stand Genomic Sci | 10.4056/sigs.3667269 | 2013 | ||
| Whole Genome Sequencing of Thermus oshimai JL-2 and Thermus thermophilus JL-18, Incomplete Denitrifiers from the United States Great Basin. | Murugapiran SK, Huntemann M, Wei CL, Han J, Detter JC, Han CS, Erkkila TH, Teshima H, Chen A, Kyrpides N, Mavrommatis K, Markowitz V, Szeto E, Ivanova N, Pagani I, Lam J, McDonald AI, Dodsworth JA, Pati A, Goodwin L, Peters L, Pitluck S, Woyke T, Hedlund BP | Genome Announc | 10.1128/genomeA.00106-12 | 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 ) |
| #42461 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 103965 |
| #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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If you want to cite this particular strain cite the following doi:
https://doi.org/10.13145/bacdive139853.20251217.10
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BacDive in 2025: the core database for prokaryotic strain data