Nitratidesulfovibrio liaohensis XJ01 is a bacterium that was isolated from extracted fluids at wellhead.
genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Thermodesulfobacteriota |
| Class Desulfovibrionia |
| Order Desulfovibrionales |
| Family Desulfovibrionaceae |
| Genus Nitratidesulfovibrio |
| Species Nitratidesulfovibrio liaohensis |
| Full scientific name Nitratidesulfovibrio liaohensis (Wan et al. 2021) Park et al. 2023 |
| Synonyms (1) |
| @ref | Gram stain | Confidence | |
|---|---|---|---|
| 125438 | negative | 97.07 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 67341 | DESULFOVIBRIO (POSTGATE) MEDIUM (DSMZ Medium 63) | Medium recipe at MediaDive | Name: DESULFOVIBRIO (POSTGATE) MEDIUM (DSMZ Medium 63) Composition: MgSO4 x 7 H2O 2.0 g/l Na-DL-lactate 2.0 g/l NH4Cl 1.0 g/l Yeast extract 1.0 g/l Na2SO4 1.0 g/l FeSO4 x 7 H2O 0.5 g/l K2HPO4 0.5 g/l CaCl2 x 2 H2O 0.1 g/l Na-thioglycolate 0.1 g/l Ascorbic acid 0.1 g/l Sodium resazurin 0.0005 g/l Distilled water |
| @ref | Growth | Type | Temperature (°C) | |
|---|---|---|---|---|
| 67341 | positive | growth | 35 |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 67341 | extracted fluids at wellhead | Liao He oilfield at Liao He province | China | CHN | Asia |
Global distribution of 16S sequence MK260014 (>99% sequence identity) for Desulfovibrio from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | |
|---|---|---|---|---|---|---|---|
| 66792 | ASM1168207v1 assembly for Nitratidesulfovibrio liaohensis XJ01 | contig | 2604158 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 67341 | Nitratidesulfovibrio liaohensis strain XJ01 16S ribosomal RNA gene, partial sequence | MK260014 | 1551 | 2604158 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 67341 | 64.8 | sequence analysis |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 93.40 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 63.10 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 79.50 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | anaerobe | 95.10 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 97.07 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 79.04 | no |
| 125438 | aerobic | aerobicⓘ | no | 84.82 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 83.93 | no |
| 125438 | thermophilic | thermophileⓘ | no | 90.47 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 79.64 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Cupidesulfovibrio liaohensis gen. nov., sp. nov., a novel sulphate-reducing bacterium isolated from an oil reservoir and reclassification of Desulfovibrio oxamicus and Desulfovibrio termitidis as Cupidesulfovibrio oxamicus comb. nov. and Cupidesulfovibrio termitidis comb. nov. | Wan YY, Luo N, Liu XL, Lai QL, Goodfellow M | Int J Syst Evol Microbiol | 10.1099/ijsem.0.004618 | 2021 |
| #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 ) |
| #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) . |
| #67341 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 107637 |
| #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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If you want to cite this particular strain cite the following doi:
https://doi.org/10.13145/bacdive160433.20251217.10
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BacDive in 2025: the core database for prokaryotic strain data