Methanobacterium arcticum M2 is an anaerobe, mesophilic, Gram-negative prokaryote that was isolated from Holocene permafrost sediments.
Gram-negative rod-shaped anaerobe mesophilic genome sequence 16S sequence| @ref 20215 |
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|
| Domain Methanobacteriati |
| Phylum Methanobacteriota |
| Class Methanobacteria |
| Order Methanobacteriales |
| Family Methanobacteriaceae |
| Genus Methanobacterium |
| Species Methanobacterium arcticum |
| Full scientific name Methanobacterium arcticum Shcherbakova et al. 2011 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 8345 | METHANOGENIUM MEDIUM (H2/CO2) (DSMZ Medium 141) | Medium recipe at MediaDive | Name: METHANOGENIUM MEDIUM (H2/CO2) (DSMZ Medium 141) Composition: NaHCO3 4.89237 g/l MgCl2 x 6 H2O 3.91389 g/l Yeast extract 1.95695 g/l Trypticase peptone 1.95695 g/l Na-acetate 0.978474 g/l Na2S x 9 H2O 0.489237 g/l L-Cysteine HCl x H2O 0.489237 g/l KCl 0.332681 g/l NH4Cl 0.244618 g/l K2HPO4 0.136986 g/l MgSO4 x 7 H2O 0.0293542 g/l Nitrilotriacetic acid 0.0146771 g/l NaCl 0.00978474 g/l MnSO4 x H2O 0.00489237 g/l Fe(NH4)2(SO4)2 x 6 H2O 0.00195695 g/l CoSO4 x 7 H2O 0.00176125 g/l ZnSO4 x 7 H2O 0.00176125 g/l FeSO4 x 7 H2O 0.000978474 g/l CaCl2 x 2 H2O 0.000978474 g/l Sodium resazurin 0.000489237 g/l NiCl2 x 6 H2O 0.000293542 g/l AlK(SO4)2 x 12 H2O 0.000195695 g/l CuSO4 x 5 H2O 9.78474e-05 g/l Pyridoxine hydrochloride 9.78474e-05 g/l Na2MoO4 x 2 H2O 9.78474e-05 g/l H3BO3 9.78474e-05 g/l Nicotinic acid 4.89237e-05 g/l Riboflavin 4.89237e-05 g/l (DL)-alpha-Lipoic acid 4.89237e-05 g/l Thiamine HCl 4.89237e-05 g/l Calcium D-(+)-pantothenate 4.89237e-05 g/l p-Aminobenzoic acid 4.89237e-05 g/l Folic acid 1.95695e-05 g/l Biotin 1.95695e-05 g/l Na2WO4 x 2 H2O 3.91389e-06 g/l Na2SeO3 x 5 H2O 2.93542e-06 g/l Vitamin B12 9.78474e-07 g/l Distilled water |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Environmental | #Terrestrial | #Permafrost | |
| #Environmental | #Terrestrial | #Sediment |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | Latitude | Longitude | |
|---|---|---|---|---|---|---|---|---|
| 8345 | Holocene permafrost sediments | Kolyma Lowland, Russia (70° 06' N 154° 04' E) | Russia | RUS | Asia | 70.1 | 154.067 70.1/154.067 |
Global distribution of 16S sequence DQ517520 (>99% sequence identity) for Methanobacterium from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM74607v1 assembly for Methanobacterium arcticum M2 | scaffold | 386456 | 67.52 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 8345 | Methanobacterium arcticum 16S ribosomal RNA gene, partial sequence | DQ517520 | 1434 | 386456 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 95.40 | no |
| 125439 | motility | BacteriaNetⓘ | no | 73.80 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 97.10 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | anaerobe | 75.40 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 65.31 | yes |
| 125438 | anaerobic | anaerobicⓘ | yes | 88.76 | yes |
| 125438 | aerobic | aerobicⓘ | no | 85.62 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 85.16 | yes |
| 125438 | thermophilic | thermophileⓘ | no | 79.09 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 90.88 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Proteiniphilum and Methanothrix harundinacea became dominant acetate utilizers in a methanogenic reactor operated under strong ammonia stress. | Feng G, Zeng Y, Wang HZ, Chen YT, Tang YQ. | Front Microbiol | 10.3389/fmicb.2022.1098814 | 2022 | ||
| High Tolerance of Hydrogenothermus marinus to Sodium Perchlorate. | Beblo-Vranesevic K, Huber H, Rettberg P. | Front Microbiol | 10.3389/fmicb.2017.01369 | 2017 | ||
| Phylogeny | Methanobacterium arcticum sp. nov., a methanogenic archaeon from Holocene Arctic permafrost. | Shcherbakova V, Rivkina E, Pecheritsyna S, Laurinavichius K, Suzina N, Gilichinsky D | Int J Syst Evol Microbiol | 10.1099/ijs.0.021311-0 | 2010 |
| #8345 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 19844 |
| #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 ) |
| #26176 | IJSEM 144 2013 ( DOI 10.1099/ijs.0.021311-0 , PubMed 20173003 ) |
| #29798 | Barberan A, Caceres Velazquez H, Jones S, Fierer N.: Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information. mSphere 2: 2017 ( DOI 10.1128/mSphere.00237-17 , PubMed 28776041 ) - originally annotated from #26176 |
| #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) . |
| #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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