Methanosarcina barkeri Wiesmoor is an anaerobe, mesophilic prokaryote that was isolated from drainage creek, peat bog.
anaerobe mesophilic genome sequence| @ref 20215 |
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| Domain Methanobacteriati |
| Phylum Methanobacteriota |
| Class Methanosarcinia |
| Order Methanosarcinales |
| Family Methanosarcinaceae |
| Genus Methanosarcina |
| Species Methanosarcina barkeri |
| Full scientific name Methanosarcina barkeri Schnellen 1947 (Approved Lists 1980) |
| BacDive ID | Other strains from Methanosarcina barkeri (4) | Type strain |
|---|---|---|
| 7087 | M. barkeri MS, DSM 800, ATCC 43569, JCM 10043, OCM 38, ... (type strain) | |
| 7090 | M. barkeri DSM 1311, OCM 27 | |
| 7091 | M. barkeri 227, DSM 1538, ATCC 43241, OCM 35 | |
| 7093 | M. barkeri DSM 2948, OCM 86 |
| @ref | Gram stain | Confidence | |
|---|---|---|---|
| 125439 | negative | 95.8 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 3349 | METHANOSARCINA BARKERI MEDIUM (DSMZ Medium 120a) | Medium recipe at MediaDive | Name: METHANOSARCINA BARKERI MEDIUM (DSMZ Medium 120a) Composition: Methanol 15.4688 g/l NaCl 2.19727 g/l Yeast extract 1.95312 g/l Casitone 1.95312 g/l NaHCO3 0.830078 g/l NH4Cl 0.488281 g/l MgSO4 x 7 H2O 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 CaCl2 x 2 H2O 0.244141 g/l KH2PO4 0.224609 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 Thiamine HCl 4.88281e-05 g/l Riboflavin 4.88281e-05 g/l Calcium D-(+)-pantothenate 4.88281e-05 g/l Nicotinic acid 4.88281e-05 g/l p-Aminobenzoic acid 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 H2SO4 Distilled water |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 3349 | positive | growth | 30 | mesophilic |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Environmental | #Aquatic | #River (Creek) | |
| #Environmental | #Terrestrial | #Wetland (Swamp) |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 3349 | drainage creek, peat bog | Northern Germany, Wiesmoor | Germany | DEU | Europe |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM96998v1 assembly for Methanosarcina barkeri str. Wiesmoor | complete | 1434109 | 98.8 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 97.20 | no |
| 125439 | motility | BacteriaNetⓘ | no | 74.90 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 95.80 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 67.70 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 65.92 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 82.21 | yes |
| 125438 | aerobic | aerobicⓘ | no | 88.56 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 85.35 | no |
| 125438 | thermophilic | thermophileⓘ | no | 86.12 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 80.88 | no |
| Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|
| Rapid shift in greenhouse forcing of emerging arctic peatlands. | Christensen TR, Scheller J, Scheel M, Rudd DA, Jackowicz-Korczynski M, Mastepanov M, Lopez-Blanco E. | Sci Rep | 10.1038/s41598-023-29859-4 | 2023 | |
| Methanogenic Archaea Can Produce Methane in Deliquescence-Driven Mars Analog Environments. | Maus D, Heinz J, Schirmack J, Airo A, Kounaves SP, Wagner D, Schulze-Makuch D. | Sci Rep | 10.1038/s41598-019-56267-4 | 2020 |
| #3349 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 8687 |
| #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) . |
| #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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