Methanobacterium alkalithermotolerans CAN is an archaeon that was isolated from alkaline sediment slurry.
genome sequence 16S sequence Archaea| @ref 20215 |
|
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| Domain Archaea |
| Phylum Methanobacteriota |
| Class Methanobacteria |
| Order Methanobacteriales |
| Family Methanobacteriaceae |
| Genus Methanobacterium |
| Species Methanobacterium alkalithermotolerans |
| Full scientific name Methanobacterium alkalithermotolerans Mei et al. 2022 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 68802 | METHANOBACTERIUM MEDIUM (DSMZ Medium 119) | Medium recipe at MediaDive | Name: METHANOBACTERIUM MEDIUM (DSMZ Medium 119) Composition: NaHCO3 3.98804 g/l Na-formate 1.99402 g/l Na-acetate 0.997009 g/l Na2S x 9 H2O 0.498504 g/l L-Cysteine HCl x H2O 0.498504 g/l KH2PO4 0.498504 g/l NH4Cl 0.398804 g/l NaCl 0.398804 g/l MgSO4 x 7 H2O 0.398804 g/l Yeast extract 0.199402 g/l CaCl2 x 2 H2O 0.0498504 g/l HCl 0.00249252 g/l FeSO4 x 7 H2O 0.00199402 g/l FeCl2 x 4 H2O 0.00149551 g/l Sodium resazurin 0.000498504 g/l CoCl2 x 6 H2O 0.000189432 g/l MnCl2 x 4 H2O 9.97009e-05 g/l ZnCl2 6.97906e-05 g/l Na2MoO4 x 2 H2O 3.58923e-05 g/l NiCl2 x 6 H2O 2.39282e-05 g/l H3BO3 5.98205e-06 g/l CuCl2 x 2 H2O 1.99402e-06 g/l Isobutyric acid DL-2-Methylbutyric acid Valeric acid Isovaleric acid Distilled water H2SO4 Sludge |
| @ref | Growth | Type | Temperature (°C) | |
|---|---|---|---|---|
| 68802 | positive | growth | 40 |
| @ref | Spore formation | Confidence | |
|---|---|---|---|
| 125438 | 90.567 |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | Latitude | Longitude | |
|---|---|---|---|---|---|---|---|---|
| 68802 | alkaline sediment slurry | New Caledonia, Canala, La Crouen geothermal spring | France | FRA | Europe | -21.5352 | 165.889 -21.5352/165.889 |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM1814118v1 assembly for Methanobacterium alkalithermotolerans CAN | complete | 2731220 | 95.09 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 68802 | Methanobacterium alkalithermotolerans strain CAN 16S ribosomal RNA gene, partial sequence | KR349725 | 1197 | 2731220 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 68802 | 36.4 | sequence analysis |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | yes | 52.00 | no |
| 125439 | motility | BacteriaNetⓘ | no | 58.00 | no |
| 125439 | gram_stain | BacteriaNetⓘ | variable | 62.40 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | facultative anaerobe | 79.00 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 60.12 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 85.57 | no |
| 125438 | aerobic | aerobicⓘ | no | 83.17 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 90.57 | no |
| 125438 | thermophilic | thermophileⓘ | no | 70.59 | no |
| 125438 | flagellated | motile2+ⓘ | no | 89.38 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Methanobacterium alkalithermotolerans sp. nov., a novel alkaliphilic and hydrogen-utilizing methanogen isolated from an alkaline geothermal spring (La Crouen, New Caledonia). | Mei N, Postec A, Bartoli M, Vandecasteele C, Wils L, Gil L, Monnin C, Pelletier B, Erauso G, Quemeneur M | Int J Syst Evol Microbiol | 10.1099/ijsem.0.005554 | 2022 |
| #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) . |
| #68802 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 102889 |
| #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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