Methanolobus halotolerans SY-01 is an archaeon that was isolated from Sediment.
genome sequence 16S sequence Archaea| @ref 20215 |
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| Domain Archaea |
| Phylum Methanobacteriota |
| Class Methanosarcinia |
| Order Methanosarcinales |
| Family Methanosarcinaceae |
| Genus Methanolobus |
| Species Methanolobus halotolerans |
| Full scientific name Methanolobus halotolerans Shen et al. 2020 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 67277 | METHANOLOBUS MEDIUM (DSMZ Medium 120d) | Medium recipe at MediaDive | Name: METHANOLOBUS MEDIUM (DSMZ Medium 120d) Composition: NaCl 22.4609 g/l Methanol 15.4688 g/l MgCl2 x 6 H2O 9.76562 g/l Na2CO3 0.976562 g/l NH4Cl 0.488281 g/l K2HPO4 0.341797 g/l Na2S x 9 H2O 0.292969 g/l L-Cysteine HCl x H2O 0.292969 g/l KH2PO4 0.224609 g/l CaCl2 x 2 H2O 0.146484 g/l HCl 0.00244141 g/l FeSO4 x 7 H2O 0.00195312 g/l FeCl2 x 4 H2O 0.00146484 g/l Sodium resazurin 0.000488281 g/l CoCl2 x 6 H2O 0.000185547 g/l Pyridoxine hydrochloride 9.76563e-05 g/l MnCl2 x 4 H2O 9.76563e-05 g/l ZnCl2 6.83594e-05 g/l p-Aminobenzoic acid 4.88281e-05 g/l Calcium D-(+)-pantothenate 4.88281e-05 g/l Nicotinic acid 4.88281e-05 g/l Riboflavin 4.88281e-05 g/l Thiamine HCl 4.88281e-05 g/l (DL)-alpha-Lipoic acid 4.88281e-05 g/l Na2MoO4 x 2 H2O 3.51562e-05 g/l NiCl2 x 6 H2O 2.34375e-05 g/l Folic acid 1.95312e-05 g/l Biotin 1.95312e-05 g/l H3BO3 5.85938e-06 g/l CuCl2 x 2 H2O 1.95313e-06 g/l Vitamin B12 9.76563e-07 g/l Distilled water H2SO4 |
| @ref | Growth | Type | Temperature (°C) | |
|---|---|---|---|---|
| 67277 | positive | growth | 30 |
| @ref | Oxygen tolerance | Confidence | |
|---|---|---|---|
| 125439 | obligate anaerobe | 94.01 |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 67277 | Sediment | Lake Tus, Republic of Khakassia, Russian Federation | Russia | RUS | Europe |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|
| 66792 | ASM474542v1 assembly for Methanolobus halotolerans SY-01 | contig | 2052935 | 55.23 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 67277 | Methanolobus halotolerans strain SY-01 16S ribosomal RNA gene, partial sequence | MG437307 | 1405 | 2052935 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 67277 | 43.6 | sequence analysis |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate anaerobe | 94.01 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 43.66 | no |
| 125439 | motility | BacteriaNetⓘ | no | 78.84 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 89.34 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 63.35 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 87.76 | no |
| 125438 | aerobic | aerobicⓘ | no | 89.63 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 86.08 | no |
| 125438 | thermophilic | thermophileⓘ | no | 77.62 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 85.54 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Methanolobus halotolerans sp. nov., isolated from the saline Lake Tus in Siberia. | Shen Y, Chen SC, Lai MC, Huang HH, Chiu HH, Tang SL, Rogozin DY, Degermendzhy AG | Int J Syst Evol Microbiol | 10.1099/ijsem.0.004453 | 2020 |
| #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) . |
| #67277 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 107642 |
| #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/bacdive160371.20260601.11
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BacDive in 2025: the core database for prokaryotic strain data