Methanobrevibacter ruminantium M1 is an anaerobe, mesophilic prokaryote that was isolated from bovine rumen.
anaerobe mesophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Methanobacteriati |
| Phylum Methanobacteriota |
| Class Methanobacteria |
| Order Methanobacteriales |
| Family Methanobacteriaceae |
| Genus Methanobrevibacter |
| Species Methanobrevibacter ruminantium |
| Full scientific name Methanobrevibacter ruminantium (Smith and Hungate 1958) Balch and Wolfe 1981 |
| Synonyms (1) |
| @ref | Gram stain | Confidence | |
|---|---|---|---|
| 125439 | negative | 96.6 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 547 | MODIFIED METHANOBACTERIUM MEDIUM (DSMZ Medium 1523) | Medium recipe at MediaDive | Name: MODIFIED METHANOBACTERIUM MEDIUM (DSMZ Medium 1523; with strain-specific modifications) 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 2-Mercaptoethanesulfonic acid 0.499002 g/l KH2PO4 0.499002 g/l Na2S x 9 H2O 0.499002 g/l L-Cysteine HCl x H2O 0.499002 g/l NH4Cl 0.399202 g/l NaCl 0.399202 g/l MgSO4 x 7 H2O 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 Nicotinic acid 0.000199601 g/l Thiamine-HCl x 2 H2O 0.000199601 g/l CoCl2 x 6 H2O 0.000189621 g/l Vitamin B12 9.98004e-05 g/l Calcium pantothenate 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 | ||
| 547 | 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 | Spore formation | Confidence | |
|---|---|---|---|
| 125439 | 99.2 |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | ribulose monophosphate pathway | 100 | 2 of 2 | ||
| 66794 | anapleurotic synthesis of oxalacetate | 100 | 1 of 1 | ||
| 66794 | suberin monomers biosynthesis | 100 | 2 of 2 | ||
| 66794 | formaldehyde oxidation | 100 | 3 of 3 | ||
| 66794 | biotin biosynthesis | 100 | 4 of 4 | ||
| 66794 | UDP-GlcNAc biosynthesis | 100 | 3 of 3 | ||
| 66794 | coenzyme A metabolism | 100 | 4 of 4 | ||
| 66794 | flavin biosynthesis | 93.33 | 14 of 15 | ||
| 66794 | aspartate and asparagine metabolism | 88.89 | 8 of 9 | ||
| 66794 | chorismate metabolism | 88.89 | 8 of 9 | ||
| 66794 | molybdenum cofactor biosynthesis | 88.89 | 8 of 9 | ||
| 66794 | isoleucine metabolism | 87.5 | 7 of 8 | ||
| 66794 | phenylalanine metabolism | 84.62 | 11 of 13 | ||
| 66794 | NAD metabolism | 83.33 | 15 of 18 | ||
| 66794 | hydrogen production | 80 | 4 of 5 | ||
| 66794 | factor 420 biosynthesis | 80 | 4 of 5 | ||
| 66794 | methanofuran biosynthesis | 80 | 4 of 5 | ||
| 66794 | vitamin B12 metabolism | 79.41 | 27 of 34 | ||
| 66794 | valine metabolism | 77.78 | 7 of 9 | ||
| 66794 | palmitate biosynthesis | 77.27 | 17 of 22 | ||
| 66794 | acetate fermentation | 75 | 3 of 4 | ||
| 66794 | methanogenesis from CO2 | 75 | 9 of 12 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 75 | 6 of 8 | ||
| 66794 | sulfopterin metabolism | 75 | 3 of 4 | ||
| 66794 | ubiquinone biosynthesis | 71.43 | 5 of 7 | ||
| 66794 | pyrimidine metabolism | 71.11 | 32 of 45 | ||
| 66794 | coenzyme M biosynthesis | 70 | 7 of 10 | ||
| 66794 | threonine metabolism | 70 | 7 of 10 | ||
| 66794 | vitamin B1 metabolism | 69.23 | 9 of 13 | ||
| 66794 | glutamate and glutamine metabolism | 67.86 | 19 of 28 | ||
| 66794 | purine metabolism | 67.02 | 63 of 94 | ||
| 66794 | pantothenate biosynthesis | 66.67 | 4 of 6 | ||
| 66794 | CO2 fixation in Crenarchaeota | 66.67 | 6 of 9 | ||
| 66794 | L-lactaldehyde degradation | 66.67 | 2 of 3 | ||
| 66794 | acetoin degradation | 66.67 | 2 of 3 | ||
| 66794 | selenocysteine biosynthesis | 66.67 | 4 of 6 | ||
| 66794 | photosynthesis | 64.29 | 9 of 14 | ||
| 66794 | heme metabolism | 64.29 | 9 of 14 | ||
| 66794 | C4 and CAM-carbon fixation | 62.5 | 5 of 8 | ||
| 66794 | methionine metabolism | 61.54 | 16 of 26 | ||
| 66794 | lipid metabolism | 61.29 | 19 of 31 | ||
| 66794 | myo-inositol biosynthesis | 60 | 6 of 10 | ||
| 66794 | peptidoglycan biosynthesis | 60 | 9 of 15 | ||
| 66794 | citric acid cycle | 57.14 | 8 of 14 | ||
| 66794 | d-mannose degradation | 55.56 | 5 of 9 | ||
| 66794 | nitrate assimilation | 55.56 | 5 of 9 | ||
| 66794 | oxidative phosphorylation | 53.85 | 49 of 91 | ||
| 66794 | glycolysis | 52.94 | 9 of 17 | ||
| 66794 | histidine metabolism | 51.72 | 15 of 29 | ||
| 66794 | vitamin E metabolism | 50 | 2 of 4 | ||
| 66794 | propionate fermentation | 50 | 5 of 10 | ||
| 66794 | cis-vaccenate biosynthesis | 50 | 1 of 2 | ||
| 66794 | dolichol and dolichyl phosphate biosynthesis | 50 | 1 of 2 | ||
| 66794 | gluconeogenesis | 50 | 4 of 8 | ||
| 66794 | glycolate and glyoxylate degradation | 50 | 3 of 6 | ||
| 66794 | aminopropanol phosphate biosynthesis | 50 | 1 of 2 | ||
| 66794 | ethanol fermentation | 50 | 1 of 2 | ||
| 66794 | glycine metabolism | 50 | 5 of 10 | ||
| 66794 | dTDPLrhamnose biosynthesis | 50 | 4 of 8 | ||
| 66794 | glycogen biosynthesis | 50 | 2 of 4 | ||
| 66794 | butanoate fermentation | 50 | 2 of 4 | ||
| 66794 | arginine metabolism | 50 | 12 of 24 | ||
| 66794 | cysteine metabolism | 50 | 9 of 18 | ||
| 66794 | adipate degradation | 50 | 1 of 2 | ||
| 66794 | tyrosine metabolism | 50 | 7 of 14 | ||
| 66794 | CDP-diacylglycerol biosynthesis | 50 | 1 of 2 | ||
| 66794 | non-pathway related | 47.37 | 18 of 38 | ||
| 66794 | leucine metabolism | 46.15 | 6 of 13 | ||
| 66794 | proline metabolism | 45.45 | 5 of 11 | ||
| 66794 | tryptophan metabolism | 44.74 | 17 of 38 | ||
| 66794 | serine metabolism | 44.44 | 4 of 9 | ||
| 66794 | degradation of sugar alcohols | 43.75 | 7 of 16 | ||
| 66794 | reductive acetyl coenzyme A pathway | 42.86 | 3 of 7 | ||
| 66794 | tetrahydrofolate metabolism | 42.86 | 6 of 14 | ||
| 66794 | cardiolipin biosynthesis | 42.86 | 3 of 7 | ||
| 66794 | aclacinomycin biosynthesis | 42.86 | 3 of 7 | ||
| 66794 | propanol degradation | 42.86 | 3 of 7 | ||
| 66794 | degradation of aromatic, nitrogen containing compounds | 41.67 | 5 of 12 | ||
| 66794 | alanine metabolism | 41.38 | 12 of 29 | ||
| 66794 | 4-hydroxyphenylacetate degradation | 40 | 4 of 10 | ||
| 66794 | metabolism of amino sugars and derivatives | 40 | 2 of 5 | ||
| 66794 | urea cycle | 38.46 | 5 of 13 | ||
| 66794 | isoprenoid biosynthesis | 38.46 | 10 of 26 | ||
| 66794 | lysine metabolism | 38.1 | 16 of 42 | ||
| 66794 | ketogluconate metabolism | 37.5 | 3 of 8 | ||
| 66794 | dolichyl-diphosphooligosaccharide biosynthesis | 36.36 | 4 of 11 | ||
| 66794 | pentose phosphate pathway | 36.36 | 4 of 11 | ||
| 66794 | vitamin B6 metabolism | 36.36 | 4 of 11 | ||
| 66794 | IAA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | methane metabolism | 33.33 | 1 of 3 | ||
| 66794 | cyanate degradation | 33.33 | 1 of 3 | ||
| 66794 | acetyl CoA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | octane oxidation | 33.33 | 1 of 3 | ||
| 66794 | degradation of hexoses | 33.33 | 6 of 18 | ||
| 66794 | lipid A biosynthesis | 33.33 | 3 of 9 | ||
| 66794 | sulfate reduction | 30.77 | 4 of 13 | ||
| 66794 | polyamine pathway | 30.43 | 7 of 23 | ||
| 66794 | degradation of pentoses | 28.57 | 8 of 28 | ||
| 66794 | benzoyl-CoA degradation | 28.57 | 2 of 7 | ||
| 66794 | mevalonate metabolism | 28.57 | 2 of 7 | ||
| 66794 | glutathione metabolism | 28.57 | 4 of 14 | ||
| 66794 | lactate fermentation | 25 | 1 of 4 | ||
| 66794 | cyclohexanol degradation | 25 | 1 of 4 | ||
| 66794 | toluene degradation | 25 | 1 of 4 | ||
| 66794 | catecholamine biosynthesis | 25 | 1 of 4 | ||
| 66794 | CMP-KDO biosynthesis | 25 | 1 of 4 | ||
| 66794 | phenylpropanoid biosynthesis | 23.08 | 3 of 13 | ||
| 66794 | phosphatidylethanolamine bioynthesis | 23.08 | 3 of 13 | ||
| 66794 | ascorbate metabolism | 22.73 | 5 of 22 | ||
| 66794 | allantoin degradation | 22.22 | 2 of 9 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Host | #Mammals | #Bovinae (Cow, Cattle) | |
| #Host Body-Site | #Organ | #Rumen |
| 547 | Sample typebovine rumen |
Global distribution of 16S sequence AY196666 (>99% sequence identity) for Methanobrevibacter ruminantium subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM2418v1 assembly for Methanobrevibacter ruminantium M1 | complete | 634498 | 99.02 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 67770 | Methanobrevibacter ruminantium 16S ribosomal RNA gene, partial sequence | AY196666 | 1260 | 634498 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 99.20 | no |
| 125439 | motility | BacteriaNetⓘ | no | 71.70 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 96.60 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate anaerobe | 75.50 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 60.07 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 90.45 | yes |
| 125438 | aerobic | aerobicⓘ | no | 91.37 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 89.20 | no |
| 125438 | thermophilic | thermophileⓘ | no | 80.71 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 82.71 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Metabolism | Rumen microbial degradation of bromoform from red seaweed (Asparagopsis taxiformis) and the impact on rumen fermentation and methanogenic archaea. | Romero P, Belanche A, Jimenez E, Hueso R, Ramos-Morales E, Salwen JK, Kebreab E, Yanez-Ruiz DR. | J Anim Sci Biotechnol | 10.1186/s40104-023-00935-z | 2023 | |
| Rumen microbiota associated with feed efficiency in beef cattle are highly influenced by diet composition. | Ortiz-Chura A, Corral-Jara KF, Tournayre J, Cantalapiedra-Hijar G, Popova M, Morgavi DP. | Anim Nutr | 10.1016/j.aninu.2024.11.027 | 2025 | ||
| Phylogeny | Genome reduction in novel, obligately methyl-reducing Methanosarcinales isolated from arthropod guts (Methanolapillus gen. nov. and Methanimicrococcus). | Protasov E, Reeh H, Liu P, Poehlein A, Platt K, Heimerl T, Herve V, Daniel R, Brune A. | FEMS Microbiol Ecol | 10.1093/femsec/fiae111 | 2024 | |
| Cross-reactivity of antibodies to different rumen methanogens demonstrated using immunomagnetic capture technology. | Khanum S, Roberts JM, Heathcott RW, Bagley S, Wilson T, Gupta SK, Kirk MR, Heiser A, Janssen PH, Wedlock DN. | Front Microbiol | 10.3389/fmicb.2022.918111 | 2022 | ||
| Biotechnology | Tailored Nanoparticles With the Potential to Reduce Ruminant Methane Emissions. | Altermann E, Reilly K, Young W, Ronimus RS, Muetzel S. | Front Microbiol | 10.3389/fmicb.2022.816695 | 2022 | |
| 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 | ||
| Evolving understanding of rumen methanogen ecophysiology. | Khairunisa BH, Heryakusuma C, Ike K, Mukhopadhyay B, Susanti D. | Front Microbiol | 10.3389/fmicb.2023.1296008 | 2023 | ||
| Enteric methane emission of dairy cows supplemented with iodoform in a dose-response study. | Thorsteinsson M, Lund P, Weisbjerg MR, Noel SJ, Schonherz AA, Hellwing ALF, Hansen HH, Nielsen MO. | Sci Rep | 10.1038/s41598-023-38149-y | 2023 | ||
| Metabolism | Expression, Purification, and Characterization of (R)-Sulfolactate Dehydrogenase (ComC) from the Rumen Methanogen Methanobrevibacter millerae SM9. | Zhang Y, Schofield LR, Sang C, Dey D, Ronimus RS. | Archaea | 10.1155/2017/5793620 | 2017 | |
| 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 | ||
| Metabolism | Hydrogenotrophic methanogens of the mammalian gut: Functionally similar, thermodynamically different-A modelling approach. | Munoz-Tamayo R, Popova M, Tillier M, Morgavi DP, Morel JP, Fonty G, Morel-Desrosiers N. | PLoS One | 10.1371/journal.pone.0226243 | 2019 | |
| Benefits and Challenges of Jatropha Meal as Novel Biofeed for Animal Production. | Oskoueian E, Oskoueian A, Shakeri M, Jahromi MF. | Vet Sci | 10.3390/vetsci8090179 | 2021 | ||
| Metabolism | Early life dietary intervention in dairy calves results in a long-term reduction in methane emissions. | Meale SJ, Popova M, Saro C, Martin C, Bernard A, Lagree M, Yanez-Ruiz DR, Boudra H, Duval S, Morgavi DP. | Sci Rep | 10.1038/s41598-021-82084-9 | 2021 | |
| The Structural and Functional Capacity of Ruminal and Cecal Microbiota in Growing Cattle Was Unaffected by Dietary Supplementation of Linseed Oil and Nitrate. | Popova M, McGovern E, McCabe MS, Martin C, Doreau M, Arbre M, Meale SJ, Morgavi DP, Waters SM. | Front Microbiol | 10.3389/fmicb.2017.00937 | 2017 | ||
| Metabolism | A1Ao-ATP synthase of Methanobrevibacter ruminantium couples sodium ions for ATP synthesis under physiological conditions. | McMillan DG, Ferguson SA, Dey D, Schroder K, Aung HL, Carbone V, Attwood GT, Ronimus RS, Meier T, Janssen PH, Cook GM. | J Biol Chem | 10.1074/jbc.m111.281675 | 2011 | |
| 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 | The genome sequence of the rumen methanogen Methanobrevibacter ruminantium reveals new possibilities for controlling ruminant methane emissions. | Leahy SC, Kelly WJ, Altermann E, Ronimus RS, Yeoman CJ, Pacheco DM, Li D, Kong Z, McTavish S, Sang C, Lambie SC, Janssen PH, Dey D, Attwood GT. | PLoS One | 10.1371/journal.pone.0008926 | 2010 | |
| Phylogeny | Sequence, structure and functional diversity of PD-(D/E)XK phosphodiesterase superfamily. | Steczkiewicz K, Muszewska A, Knizewski L, Rychlewski L, Ginalski K. | Nucleic Acids Res | 10.1093/nar/gks382 | 2012 | |
| Phylogeny | An antimethanogenic nutritional intervention in early life of ruminants modifies ruminal colonization by Archaea. | Abecia L, Waddams KE, Martinez-Fernandez G, Martin-Garcia AI, Ramos-Morales E, Newbold CJ, Yanez-Ruiz DR. | Archaea | 10.1155/2014/841463 | 2014 | |
| Phylogeny | Methanogens and methanogenesis in the rumens and ceca of lambs fed two different high-grain-content diets. | Popova M, Morgavi DP, Martin C. | Appl Environ Microbiol | 10.1128/aem.03115-12 | 2013 | |
| Phylogeny | Methanogens: reevaluation of a unique biological group. | Balch WE, Fox GE, Magrum LJ, Woese CR, Wolfe RS. | Microbiol Rev | 10.1128/mr.43.2.260-296.1979 | 1979 | |
| Phylogeny | Phylogenetic analysis of methanogens from the bovine rumen. | Whitford MF, Teather RM, Forster RJ. | BMC Microbiol | 10.1186/1471-2180-1-5 | 2001 | |
| Genome-resolved metagenomics and metatranscriptomics reveal niche differentiation in functionally redundant microbial communities at deep-sea hydrothermal vents. | Galambos D, Anderson RE, Reveillaud J, Huber JA. | Environ Microbiol | 10.1111/1462-2920.14806 | 2019 | ||
| Characterization of the cecum microbiome from wild and captive rock ptarmigans indigenous to Arctic Norway. | Salgado-Flores A, Tveit AT, Wright AD, Pope PB, Sundset MA. | PLoS One | 10.1371/journal.pone.0213503 | 2019 | ||
| Investigating the antimethanogenic effects of selected nitro-compounds on methane production, rumen fermentation, and methanogenic archaea in vitro. | Castaneda A, Indugu N, Challa K, Narayan K, Johnson A, Stefanovski D, Webb T, Zhao X, Pitta D. | Appl Environ Microbiol | 10.1128/aem.01033-25 | 2025 | ||
| Phenotype | Effects of methane inhibitors on ruminal fermentation and microbial composition in vitro using inoculum from phenotypically high- and low-enteric-methane-emitting cows. | Stepanchenko N, Wasson DE, Indugu N, Cueva SF, Martins L, Narayan K, Pitta DW, Hristov AN. | J Dairy Sci | 10.3168/jds.2025-26408 | 2025 | |
| Differential alteration of rumen microbial composition in response to 3-nitrooxypropanol supplementation in dairy cattle fed high-grain and high-forage diets. | Choi Y, Zhou M, Ban Y, Oba M, Duval S, Guan LL. | J Dairy Sci | 10.3168/jds.2024-26206 | 2025 | ||
| Effects of dietary supplementation of nitrate on enteric methane production, performance, and rumen microbiome of Hanwoo steers. | Bharanidharan R, Tomple BM, Lee J, Nirmal Athauda AAK, Huh S, Hong W, Kim NY, Lim DH, Kim JG, Kim KH, Oh J. | J Anim Sci | 10.1093/jas/skaf109 | 2025 | ||
| Evaluating the rumen microbial community of genetically divergent spring-calving dairy cows grazing grass-only or grass-clover swards at different stages of the grazing season. | Dwan C, Das A, O'Toole PW, O'Callaghan TF, Meehan D, Hennessy D, Irish H, Buckley F, Lahart B. | Front Microbiol | 10.3389/fmicb.2025.1642486 | 2025 | ||
| Development and characterisation of brown seaweed hydrolysates and fermentates with potential to reduce enteric methane. | De Bhowmick G, Rai DK, Olatunji O, Kilcawley K, Skibinska I, Shannon E, Kennedy D, Walsh D, Mora L, Hayes M. | Sci Rep | 10.1038/s41598-025-05387-1 | 2025 | ||
| Microbiome-informed study of the mechanistic basis of methane inhibition by Asparagopsis taxiformis in dairy cattle. | Indugu N, Narayan K, Stefenoni HA, Hennessy ML, Vecchiarelli B, Bender JS, Shah R, Dai G, Garapati S, Yarish C, Welchez SC, Raisanen SE, Wasson D, Lage C, Melgar A, Hristov AN, Pitta DW. | mBio | 10.1128/mbio.00782-24 | 2024 | ||
| Microbial diurnal rhythmicity in the rumen fluid impacted by feeding regimes and exogenous microbiome providing novel mechanisms regulating dynamics of the rumen microbiome. | Hao Y, Wang W, Li M, Choi Y, Zhou M, Wang Y, Cao Z, Wang YJ, Yang H, Jiang L, Guan LL, Li S. | Microbiome | 10.1186/s40168-025-02134-6 | 2025 | ||
| Rumen acidosis in ruminants: a review of the effects of high-concentrate diets and the potential modulatory role of rumen foam. | Mao J, Wang L. | Front Vet Sci | 10.3389/fvets.2025.1595615 | 2025 | ||
| Programming rumen microbiome development in calves with the anti-methanogenic compound 3-NOP. | Martinez-Fernandez G, Denman SE, Walker N, Kindermann M, McSweeney CS. | Anim Microbiome | 10.1186/s42523-024-00343-2 | 2024 | ||
| Bacterial species in the ruminal content of steers fed oilseeds in the diet. | de Melo HSA, Itavo LCV, de Castro AP, Itavo CCBF, de Araujo Caldas R, Mateus RG, Niwa MVG, de Moraes GJ, da Silva Zornitta C, Gurgel ALC, Benchaar C. | Trop Anim Health Prod | 10.1007/s11250-022-03399-x | 2022 | ||
| Phenotype | Host-specific microbiome-rumination interactions shape methane-yield phenotypes in dairy cattle. | Castaneda A, Indugu N, Lenker K, Narayan K, Rassler S, Bender J, Baker L, Purandare O, Chai D, Zhao X, Pitta D. | mSphere | 10.1128/msphere.00090-25 | 2025 | |
| Metagenomic Comparison of Gut Microbes of Lemur catta in Captive and Semi-Free-Range Environments. | Xu C, Guo X, Li L. | Animals (Basel) | 10.3390/ani15101442 | 2025 | ||
| Phylogeny | Effects of Dietary Nonfibrous Carbohydrate/Neutral Detergent Fiber Ratio on Methanogenic Archaea and Cellulose-Degrading Bacteria in the Rumen of Karakul Sheep: a 16S rRNA Gene Sequencing Study. | Bai T, Pu X, Guo X, Liu J, Zhao L, Zhang X, Zhang S, Cheng L. | Appl Environ Microbiol | 10.1128/aem.01291-22 | 2023 | |
| Transcriptome | Enhanced propionate and butyrate metabolism in cecal microbiota contributes to cold-stress adaptation in sheep. | Cheng X, Liang Y, Ji K, Feng M, Du X, Jiao D, Wu X, Zhong C, Cong H, Yang G. | Microbiome | 10.1186/s40168-025-02096-9 | 2025 | |
| Temporal changes in total and metabolically active ruminal methanogens in dairy cows supplemented with 3-nitrooxypropanol. | Pitta DW, Melgar A, Hristov AN, Indugu N, Narayan KS, Pappalardo C, Hennessy ML, Vecchiarelli B, Kaplan-Shabtai V, Kindermann M, Walker N. | J Dairy Sci | 10.3168/jds.2020-19862 | 2021 | ||
| Enzymology | Biophysical and biochemical characterization of a thermostable archaeal cyclophilin from Methanobrevibacter ruminantium. | Kaushik V, Prasad S, Goel M. | Int J Biol Macromol | 10.1016/j.ijbiomac.2019.07.149 | 2019 | |
| Pathogenicity | Moderate altitude exposure impacts extensive host-microbiota multi-kingdom connectivity with serum metabolome and fasting blood glucose. | Huang X, Gao X, Fan Y, Wang D, Chen X, Qi X, Yang Z, Wang YE, Meng J, Zou G, Liu Z, Li X. | Virulence | 10.1080/21505594.2025.2530660 | 2025 | |
| Supplementation with avian-derived polyclonal antibodies against Methanobrevibacter gottschalkii and M. ruminantium decreases ex vivo methane production and modifies ruminal fermentation in Angus crossbred steers. | Garcia-Ascolani ME, Tarnonsky F, Roskopf S, Podversich F, Silva GM, Schulmeister TM, Ruiz-Moreno M, Hackmann TJ, Dubeux JCB, DiLorenzo N. | J Anim Sci | 10.1093/jas/skae213 | 2024 | ||
| Effect of silkworm (Bombyx mori) pupae oil supplementation on enteric methane emission and methanogens diversity in sheep. | Thirumalaisamy G, Malik PK, Kolte AP, Trivedi S, Dhali A, Bhatta R. | Anim Biotechnol | 10.1080/10495398.2020.1781147 | 2022 | ||
| Effects of cofD gene knock-out on the methanogenesis of Methanobrevibacter ruminantium. | Ma J, Wang X, Zhou T, Hu R, Zou H, Wang Z, Tan C, Zhang X, Peng Q, Xue B, Wang L. | AMB Express | 10.1186/s13568-021-01236-2 | 2021 | ||
| Degradability, rumen fermentation, and rumen microbiota of livestock rations containing different levels of Azolla pinnata. | Abd-Elgwad AFA, Bakr SA, Sabra EA, Elwakeel EA, Khorshed MM, Metwally HM, Rabee AE. | AIMS Microbiol | 10.3934/microbiol.2025028 | 2025 | ||
| Pathogenicity | The crosstalk between host and rumen microbiome in cattle: insights from multi-omics approaches and genome-wide association studies. | Ye X, Sahana G, Lund MS, Cai Z. | World J Microbiol Biotechnol | 10.1007/s11274-025-04504-6 | 2025 | |
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| tRNAscan-SE 2.0: improved detection and functional classification of transfer RNA genes. | Chan PP, Lin BY, Mak AJ, Lowe TM. | Nucleic Acids Res | 10.1093/nar/gkab688 | 2021 | ||
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| Phylogeny | Diversity and functions of the sheep faecal microbiota: a multi-omic characterization. | Tanca A, Fraumene C, Manghina V, Palomba A, Abbondio M, Deligios M, Pagnozzi D, Addis MF, Uzzau S. | Microb Biotechnol | 10.1111/1751-7915.12462 | 2017 | |
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| Application of MootralTM Reduces Methane Production by Altering the Archaea Community in the Rumen Simulation Technique. | Eger M, Graz M, Riede S, Breves G. | Front Microbiol | 10.3389/fmicb.2018.02094 | 2018 | ||
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| Metabolism | Differences down-under: alcohol-fueled methanogenesis by archaea present in Australian macropodids. | Hoedt EC, Cuiv PO, Evans PN, Smith WJ, McSweeney CS, Denman SE, Morrison M. | ISME J | 10.1038/ismej.2016.41 | 2016 | |
| Phylogeny | Postinoculation protozoan establishment and association patterns of methanogenic archaea in the ovine rumen. | Ohene-Adjei S, Teather RM, Ivan M, Forster RJ. | Appl Environ Microbiol | 10.1128/aem.02687-06 | 2007 | |
| A Multi-Kingdom Study Reveals the Plasticity of the Rumen Microbiota in Response to a Shift From Non-grazing to Grazing Diets in Sheep. | Belanche A, Kingston-Smith AH, Griffith GW, Newbold CJ. | Front Microbiol | 10.3389/fmicb.2019.00122 | 2019 | ||
| Quantitative analysis of ruminal methanogenic microbial populations in beef cattle divergent in phenotypic residual feed intake (RFI) offered contrasting diets. | Carberry CA, Kenny DA, Kelly AK, Waters SM. | J Anim Sci Biotechnol | 10.1186/2049-1891-5-41 | 2014 | ||
| Metabolism | Influence of sire breed on the interplay among rumen microbial populations inhabiting the rumen liquid of the progeny in beef cattle. | Hernandez-Sanabria E, Goonewardene LA, Wang Z, Zhou M, Moore SS, Guan LL. | PLoS One | 10.1371/journal.pone.0058461 | 2013 | |
| Metabolism | Specific microbiome-dependent mechanisms underlie the energy harvest efficiency of ruminants. | Shabat SK, Sasson G, Doron-Faigenboim A, Durman T, Yaacoby S, Berg Miller ME, White BA, Shterzer N, Mizrahi I. | ISME J | 10.1038/ismej.2016.62 | 2016 | |
| Archaea in symbioses. | Wrede C, Dreier A, Kokoschka S, Hoppert M. | Archaea | 10.1155/2012/596846 | 2012 | ||
| Hops (Humulus lupulus L.) Bitter Acids: Modulation of Rumen Fermentation and Potential As an Alternative Growth Promoter. | Flythe MD, Kagan IA, Wang Y, Narvaez N. | Front Vet Sci | 10.3389/fvets.2017.00131 | 2017 | ||
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| Enzymology | Birth of Archaeal Cells: Molecular Phylogenetic Analyses of G1P Dehydrogenase, G3P Dehydrogenases, and Glycerol Kinase Suggest Derived Features of Archaeal Membranes Having G1P Polar Lipids. | Yokobori SI, Nakajima Y, Akanuma S, Yamagishi A. | Archaea | 10.1155/2016/1802675 | 2016 | |
| Phylogeny | Comparative metagenomic and metatranscriptomic analyses reveal the breed effect on the rumen microbiome and its associations with feed efficiency in beef cattle. | Li F, Hitch TCA, Chen Y, Creevey CJ, Guan LL. | Microbiome | 10.1186/s40168-019-0618-5 | 2019 | |
| Metabolism | Na+ transport by the A1AO-ATP synthase purified from Thermococcus onnurineus and reconstituted into liposomes. | Mayer F, Lim JK, Langer JD, Kang SG, Muller V. | J Biol Chem | 10.1074/jbc.m114.616862 | 2015 | |
| Dynamics of a pig slurry microbial community during anaerobic storage and management. | Peu P, Brugere H, Pourcher AM, Kerouredan M, Godon JJ, Delgenes JP, Dabert P. | Appl Environ Microbiol | 10.1128/aem.72.5.3578-3585.2006 | 2006 | ||
| Metabolism | Lambs fed fresh winter forage rape (Brassica napus L.) emit less methane than those fed perennial ryegrass (Lolium perenne L.), and possible mechanisms behind the difference. | Sun X, Henderson G, Cox F, Molano G, Harrison SJ, Luo D, Janssen PH, Pacheco D. | PLoS One | 10.1371/journal.pone.0119697 | 2015 | |
| Metabolism | Characterization of a novel eukaryal nick-sealing RNA ligase from Naegleria gruberi. | Unciuleac MC, Shuman S. | RNA | 10.1261/rna.049197.114 | 2015 | |
| Genetics | Methane yield phenotypes linked to differential gene expression in the sheep rumen microbiome. | Shi W, Moon CD, Leahy SC, Kang D, Froula J, Kittelmann S, Fan C, Deutsch S, Gagic D, Seedorf H, Kelly WJ, Atua R, Sang C, Soni P, Li D, Pinares-Patino CS, McEwan JC, Janssen PH, Chen F, Visel A, Wang Z, Attwood GT, Rubin EM. | Genome Res | 10.1101/gr.168245.113 | 2014 | |
| Methanosarcina Spherical Virus, a Novel Archaeal Lytic Virus Targeting Methanosarcina Strains. | Weidenbach K, Nickel L, Neve H, Alkhnbashi OS, Kunzel S, Kupczok A, Bauersachs T, Cassidy L, Tholey A, Backofen R, Schmitz RA. | J Virol | 10.1128/jvi.00955-17 | 2017 | ||
| Genetics | A Comprehensive tRNA Genomic Survey Unravels the Evolutionary History of tRNA Arrays in Prokaryotes. | Tran TT, Belahbib H, Bonnefoy V, Talla E. | Genome Biol Evol | 10.1093/gbe/evv254 | 2015 | |
| Metabolism | Effects of 3'-OH and 5'-PO4 base mispairs and damaged base lesions on the fidelity of nick sealing by Deinococcus radiodurans RNA ligase. | Schmier BJ, Shuman S. | J Bacteriol | 10.1128/jb.00020-14 | 2014 | |
| Enzymology | Fibrolytic Bacteria Isolated from the Rumen of North American Moose (Alces alces) and Their Use as a Probiotic in Neonatal Lambs. | Ishaq SL, Kim CJ, Reis D, Wright AD. | PLoS One | 10.1371/journal.pone.0144804 | 2015 | |
| Effect of Pre-weaning Diet on the Ruminal Archaeal, Bacterial, and Fungal Communities of Dairy Calves. | Dias J, Marcondes MI, Noronha MF, Resende RT, Machado FS, Mantovani HC, Dill-McFarland KA, Suen G. | Front Microbiol | 10.3389/fmicb.2017.01553 | 2017 | ||
| Rumen microbial community composition varies with diet and host, but a core microbiome is found across a wide geographical range. | Henderson G, Cox F, Ganesh S, Jonker A, Young W, Global Rumen Census Collaborators, Janssen PH. | Sci Rep | 10.1038/srep14567 | 2015 | ||
| Genetics | Extensive Inter-Domain Lateral Gene Transfer in the Evolution of the Human Commensal Methanosphaera stadtmanae. | Lurie-Weinberger MN, Peeri M, Tuller T, Gophna U. | Front Genet | 10.3389/fgene.2012.00182 | 2012 | |
| Metabolism | Syntrophic association of a butyrate-degrading bacterium and methanosarcina enriched from bovine rumen fluid. | McInerney MJ, Mackie RI, Bryant MP. | Appl Environ Microbiol | 10.1128/aem.41.3.826-828.1981 | 1981 | |
| Pathogenicity | Effects of essential oils on methane production and fermentation by, and abundance and diversity of, rumen microbial populations. | Patra AK, Yu Z. | Appl Environ Microbiol | 10.1128/aem.00309-12 | 2012 | |
| Chromosome segregation in Archaea mediated by a hybrid DNA partition machine. | Kalliomaa-Sanford AK, Rodriguez-Castaneda FA, McLeod BN, Latorre-Rosello V, Smith JH, Reimann J, Albers SV, Barilla D. | Proc Natl Acad Sci U S A | 10.1073/pnas.1113384109 | 2012 | ||
| Pathogenicity | Review on Mycotoxin Issues in Ruminants: Occurrence in Forages, Effects of Mycotoxin Ingestion on Health Status and Animal Performance and Practical Strategies to Counteract Their Negative Effects. | Gallo A, Giuberti G, Frisvad JC, Bertuzzi T, Nielsen KF. | Toxins (Basel) | 10.3390/toxins7083057 | 2015 | |
| Metabolism | Hydrogen formation and its regulation in Ruminococcus albus: involvement of an electron-bifurcating [FeFe]-hydrogenase, of a non-electron-bifurcating [FeFe]-hydrogenase, and of a putative hydrogen-sensing [FeFe]-hydrogenase. | Zheng Y, Kahnt J, Kwon IH, Mackie RI, Thauer RK. | J Bacteriol | 10.1128/jb.02070-14 | 2014 | |
| An Integrated Multi-Omics Approach Reveals the Effects of Supplementing Grass or Grass Hay with Vitamin E on the Rumen Microbiome and Its Function. | Belanche A, Kingston-Smith AH, Newbold CJ. | Front Microbiol | 10.3389/fmicb.2016.00905 | 2016 | ||
| Phylogeny | A Structural and Functional Elucidation of the Rumen Microbiome Influenced by Various Diets and Microenvironments. | Deusch S, Camarinha-Silva A, Conrad J, Beifuss U, Rodehutscord M, Seifert J. | Front Microbiol | 10.3389/fmicb.2017.01605 | 2017 | |
| Methanogens: biochemical background and biotechnological applications. | Enzmann F, Mayer F, Rother M, Holtmann D. | AMB Express | 10.1186/s13568-017-0531-x | 2018 | ||
| Phylogeny | Phylogenetic comparison of the methanogenic communities from an acidic, oligotrophic fen and an anaerobic digester treating municipal wastewater sludge. | Steinberg LM, Regan JM. | Appl Environ Microbiol | 10.1128/aem.00553-08 | 2008 | |
| Metabolism | Targeting methanopterin biosynthesis to inhibit methanogenesis. | Dumitru R, Palencia H, Schroeder SD, DeMontigny BA, Takacs JM, Rasche ME, Miner JL, Ragsdale SW. | Appl Environ Microbiol | 10.1128/aem.69.12.7236-7241.2003 | 2003 | |
| Metabolism | Rapidly growing rumen methanogenic organism that synthesizes coenzyme M and has a high affinity for formate. | Lovley DR, Greening RC, Ferry JG. | Appl Environ Microbiol | 10.1128/aem.48.1.81-87.1984 | 1984 | |
| Enzymology | Identification and quantification of archaea involved in primary endodontic infections. | Vianna ME, Conrads G, Gomes BP, Horz HP. | J Clin Microbiol | 10.1128/jcm.44.4.1274-1282.2006 | 2006 | |
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| Purine biosynthesis in archaea: variations on a theme. | Brown AM, Hoopes SL, White RH, Sarisky CA. | Biol Direct | 10.1186/1745-6150-6-63 | 2011 | ||
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| Metabolism | New approach to the cultivation of methanogenic bacteria: 2-mercaptoethanesulfonic acid (HS-CoM)-dependent growth of Methanobacterium ruminantium in a pressureized atmosphere. | Balch WE, Wolfe RS. | Appl Environ Microbiol | 10.1128/aem.32.6.781-791.1976 | 1976 | |
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| Biotechnology | The Ability of Hop Extracts to Reduce the Methane Production of Methanobrevibacter ruminantium. | Blaxland JA, Watkins AJ, Baillie LWJ | Archaea | 10.1155/2021/5510063 | 2021 | |
| Transcriptome | The transcriptome response of the ruminal methanogen Methanobrevibacter ruminantium strain M1 to the inhibitor lauric acid. | Zhou X, Stevens MJA, Neuenschwander S, Schwarm A, Kreuzer M, Bratus-Neuenschwander A, Zeitz JO | BMC Res Notes | 10.1186/s13104-018-3242-8 | 2018 | |
| Pathogenicity | The effect of saturated fatty acids on methanogenesis and cell viability of Methanobrevibacter ruminantium. | Zhou X, Meile L, Kreuzer M, Zeitz JO | Archaea | 10.1155/2013/106916 | 2013 | |
| Anaerobic flora, Selenomonas ruminis sp. nov., and the bacteriocinogenic Ligilactobacillus salivarius strain MP3 from crossbred-lactating goats. | Poothong S, Tanasupawat S, Chanpongsang S, Kingkaew E, Nuengjamnong C. | Sci Rep | 10.1038/s41598-024-54686-6 | 2024 |
| #547 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 1093 |
| #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) . |
| #66794 | Antje Chang, Lisa Jeske, Sandra Ulbrich, Julia Hofmann, Julia Koblitz, Ida Schomburg, Meina Neumann-Schaal, Dieter Jahn, Dietmar Schomburg: BRENDA, the ELIXIR core data resource in 2021: new developments and updates. Nucleic Acids Res. 49: D498 - D508 2020 ( DOI 10.1093/nar/gkaa1025 , PubMed 33211880 ) |
| #67770 | Japan Collection of Microorganism (JCM) ; Curators of the JCM; |
| #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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