Methanobrevibacter gottschalkii HO is an anaerobe archaeon that was isolated from horse faeces.
anaerobe genome sequence 16S sequence Archaea| @ref 20215 |
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| Domain Archaea |
| Phylum Methanobacteriota |
| Class Methanobacteria |
| Order Methanobacteriales |
| Family Methanobacteriaceae |
| Genus Methanobrevibacter |
| Species Methanobrevibacter gottschalkii |
| Full scientific name Methanobrevibacter gottschalkii Miller and Lin 2002 |
| Synonyms (1) |
| BacDive ID | Other strains from Methanobrevibacter gottschalkii (1) | Type strain |
|---|---|---|
| 6968 | M. gottschalkii PG, DSM 11978 |
| @ref | Gram stain | Confidence | |
|---|---|---|---|
| 125439 | negative | 99.2 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 4565 | MODIFIED METHANOBACTERIUM MEDIUM (DSMZ Medium 1523) | Medium recipe at MediaDive | Name: MODIFIED METHANOBACTERIUM MEDIUM (DSMZ Medium 1523) Composition: Brain heart infusion 5.98802 g/l Proteose peptone 5.98802 g/l NaHCO3 3.99202 g/l Yeast extract 1.99601 g/l Na-formate 1.99601 g/l Na-acetate 0.998004 g/l Na2S x 9 H2O 0.499002 g/l KH2PO4 0.499002 g/l L-Cysteine HCl x H2O 0.499002 g/l MgSO4 x 7 H2O 0.399202 g/l NH4Cl 0.399202 g/l NaCl 0.399202 g/l CaCl2 x 2 H2O 0.0499002 g/l HCl 0.00249501 g/l FeCl2 x 4 H2O 0.00149701 g/l Sodium resazurin 0.000499002 g/l Pyridoxine hydrochloride 0.000299401 g/l Thiamine-HCl x 2 H2O 0.000199601 g/l Nicotinic acid 0.000199601 g/l CoCl2 x 6 H2O 0.000189621 g/l Calcium pantothenate 9.98004e-05 g/l Vitamin B12 9.98004e-05 g/l MnCl2 x 4 H2O 9.98004e-05 g/l p-Aminobenzoic acid 7.98403e-05 g/l ZnCl2 6.98603e-05 g/l Na2MoO4 x 2 H2O 3.59281e-05 g/l NiCl2 x 6 H2O 2.39521e-05 g/l D-(+)-biotin 1.99601e-05 g/l H3BO3 5.98802e-06 g/l CuCl2 x 2 H2O 1.99601e-06 g/l Distilled water | ||
| 4565 | 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 H2SO4 Sludge Distilled water |
| @ref | Growth | Type | Temperature (°C) | |
|---|---|---|---|---|
| 4565 | positive | growth | 37 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Host | #Mammals | #Equidae (Horse) | |
| #Host Body Product | #Gastrointestinal tract | #Feces (Stool) |
| @ref | Sample type | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|
| 4565 | horse faeces | USA | USA | North America |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | Methanobrevibacter gottschalkii DSM 11977 | complete | 190974 | 95.99 | ||||
| 66792 | ASM381483v1 assembly for Methanobrevibacter gottschalkii DSM 11977 | scaffold | 1122229 | 76.47 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 4565 | Methanobrevibacter gottschalkii strain HO 16S ribosomal RNA gene, complete sequence | U55238 | 1328 | 190974 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 4565 | 29.2 | thermal denaturation, midpoint method (Tm) |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | facultative anaerobe | 81.60 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 99.20 | no |
| 125439 | motility | BacteriaNetⓘ | no | 57.10 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 99.00 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 55.15 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 86.96 | yes |
| 125438 | aerobic | aerobicⓘ | no | 87.89 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 92.03 | no |
| 125438 | thermophilic | thermophileⓘ | no | 78.54 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 82.38 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Scientific opinion on the presence of viable cells in a feed additive consisting of lactic acid produced by Weizmannia coagulansDSM 32789 (Jungbunzlauer SA). | EFSA Panel on Additives and Products or Substances used in Animal Feed (FEEDAP), Bampidis V, Azimonti G, Bastos ML, Christensen H, Durjava M, Dusemund B, Kouba M, Lopez-Alonso M, Lopez Puente S, Marcon F, Mayo B, Pechova A, Petkova M, Ramos F, Sanz Y, Villa RE, Woutersen R, Prieto Maradona M, Anguita M, Pettenati E, Tarres-Call J. | EFSA J | 10.2903/j.efsa.2023.7965 | 2023 | ||
| Evolving understanding of rumen methanogen ecophysiology. | Khairunisa BH, Heryakusuma C, Ike K, Mukhopadhyay B, Susanti D. | Front Microbiol | 10.3389/fmicb.2023.1296008 | 2023 | ||
| Genetics | First Genome Sequence of the Microcolonial Black Fungus Saxispiralis lemnorum MUM 23.14: Insights into the Unique Genomic Traits of the Aeminiaceae Family. | Paiva DS, Fernandes L, Portugal A, Trovao J. | Microorganisms | 10.3390/microorganisms12010104 | 2024 | |
| Exploration of singular and synergistic effect of xylitol and erythritol on causative agents of dental caries. | Koljalg S, Smidt I, Chakrabarti A, Bosscher D, Mandar R. | Sci Rep | 10.1038/s41598-020-63153-x | 2020 | ||
| Inhibition of Rumen Methanogens by a Novel Archaeal Lytic Enzyme Displayed on Tailored Bionanoparticles. | Altermann E, Schofield LR, Ronimus RS, Beatty AK, Reilly K. | Front Microbiol | 10.3389/fmicb.2018.02378 | 2018 | ||
| Methane Production in Dairy Cows Correlates with Rumen Methanogenic and Bacterial Community Structure. | Danielsson R, Dicksved J, Sun L, Gonda H, Muller B, Schnurer A, Bertilsson J. | Front Microbiol | 10.3389/fmicb.2017.00226 | 2017 | ||
| Safety and efficacy of a feed additive consisting of lactic acid produced by Weizmannia coagulans (synonym Bacillus coagulans) DSM 32789 for all animal species except for fish (Jungbunzlauer SA). | EFSA Panel on Additives and Products or Substances used in Animal Feed (FEEDAP), Azimonti G, Bampidis V, Bastos ML, Christensen H, Dusemund B, Fasmon Durjava M, Kouba M, Lopez-Alonso M, Lopez Puente S, Marcon F, Mayo B, Pechova A, Petkova M, Ramos F, Ramos F, Sanz Y, Villa RE, Woutersen R, Maradona MP, Anguita M, Galobart J, Pettenati E, Tarres-Call J. | EFSA J | 10.2903/j.efsa.2022.7268 | 2022 | ||
| Metabolism | Biochemical Characterisation of Phage Pseudomurein Endoisopeptidases PeiW and PeiP Using Synthetic Peptides. | Schofield LR, Beattie AK, Tootill CM, Dey D, Ronimus RS. | Archaea | 10.1155/2015/828693 | 2015 | |
| Metabolism | Tracking heavy water (D2O) incorporation for identifying and sorting active microbial cells. | Berry D, Mader E, Lee TK, Woebken D, Wang Y, Zhu D, Palatinszky M, Schintlmeister A, Schmid MC, Hanson BT, Shterzer N, Mizrahi I, Rauch I, Decker T, Bocklitz T, Popp J, Gibson CM, Fowler PW, Huang WE, Wagner M. | Proc Natl Acad Sci U S A | 10.1073/pnas.1420406112 | 2015 | |
| Development of a swine-specific fecal pollution marker based on host differences in methanogen mcrA genes. | Ufnar JA, Ufnar DF, Wang SY, Ellender RD. | Appl Environ Microbiol | 10.1128/aem.00319-07 | 2007 | ||
| Phylogeny | Communities of endophytic sebacinales associated with roots of herbaceous plants in agricultural and grassland ecosystems are dominated by Serendipita herbamans sp. nov. | Riess K, Oberwinkler F, Bauer R, Garnica S. | PLoS One | 10.1371/journal.pone.0094676 | 2014 |
| #4565 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 11977 |
| #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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