Petrotoga olearia SL24 is an anaerobe, thermophilic prokaryote that was isolated from oil/water mixtures from production well-heads of a deep, continental petroleum reservoir.
anaerobe thermophilic genome sequence 16S sequence| @ref 20215 |
|
|
| Domain Thermotogati |
| Phylum Thermotogota |
| Class Thermotogae |
| Order Petrotogales |
| Family Petrotogaceae |
| Genus Petrotoga |
| Species Petrotoga olearia |
| Full scientific name Petrotoga olearia L'Haridon et al. 2002 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 5090 | PETROTOGA OLEARIA MEDIUM (DSMZ Medium 959) | Medium recipe at MediaDive | Name: PETROTOGA OLEARIA MEDIUM (DSMZ Medium 959) Composition: NaCl 15.0 g/l Maltose 3.5 g/l PIPES 3.4 g/l Na-acetate x 3 H2O 2.72 g/l Trypticase peptone 2.0 g/l Yeast extract 2.0 g/l NH4Cl 1.0 g/l Na2S x 9 H2O 0.5 g/l MgCl2 x 6 H2O 0.5 g/l K2HPO4 0.35 g/l KH2PO4 0.35 g/l KCl 0.2 g/l CaCl2 x 2 H2O 0.1 g/l Sodium resazurin 0.0005 g/l Distilled water |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 67770 | ASM289552v1 assembly for Petrotoga olearia DSM 13574 | scaffold | 1122955 | 74.01 | ||||
| 67770 | ASM368850v1 assembly for Petrotoga olearia DSM 13574 | scaffold | 156203 | 72.69 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 67770 | Petrotoga olearia 16S rRNA gene, strain SL24T | AJ311703 | 1475 | 156203 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 5090 | 35 | thermal denaturation, midpoint method (Tm) |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | anaerobe | 95.10 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 65.10 | no |
| 125439 | motility | BacteriaNetⓘ | no | 67.90 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 87.00 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 73.15 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 89.23 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 76.77 | no |
| 125438 | aerobic | aerobicⓘ | no | 93.10 | yes |
| 125438 | thermophilic | thermophileⓘ | yes | 69.22 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 54.25 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Genetics | Methanogenesis and Salt Tolerance Genes of a Novel Halophilic Methanosarcinaceae Metagenome-Assembled Genome from a Former Solar Saltern. | Bueno de Mesquita CP, Zhou J, Theroux SM, Tringe SG. | Genes (Basel) | 10.3390/genes12101609 | 2021 | |
| Enzymology | Characterization of the GH13 and GH57 glycogen branching enzymes from Petrotoga mobilis SJ95 and potential role in glycogen biosynthesis. | Zhang X, Leemhuis H, van der Maarel MJEC. | PLoS One | 10.1371/journal.pone.0219844 | 2019 | |
| Phylogeny | Lechevalieria atacamensis sp. nov., Lechevalieria deserti sp. nov. and Lechevalieria roselyniae sp. nov., isolated from hyperarid soils. | Okoro CK, Bull AT, Mutreja A, Rong X, Huang Y, Goodfellow M. | Int J Syst Evol Microbiol | 10.1099/ijs.0.009985-0 | 2010 | |
| Phylogeny | Petrotoga olearia sp. nov. and Petrotoga sibirica sp. nov., two thermophilic bacteria isolated from a continental petroleum reservoir in Western Siberia. | L'Haridon S, Miroshnichenko ML, Hippe H, Fardeau ML, Bonch-Osmolovskaya EA, Stackebrandt E, Jeanthon C | Int J Syst Evol Microbiol | 10.1099/00207713-52-5-1715 | 2002 |
| #5090 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 13574 |
| #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 ) |
| #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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