Methanosphaera stadtmanae MCB-3 is an anaerobe, mesophilic prokaryote that was isolated from human faeces.
anaerobe mesophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Methanobacteriati |
| Phylum Methanobacteriota |
| Class Methanobacteria |
| Order Methanobacteriales |
| Family Methanobacteriaceae |
| Genus Methanosphaera |
| Species Methanosphaera stadtmanae |
| Full scientific name Methanosphaera stadtmanae corrig. Miller and Wolin 1985 |
| Synonyms (1) |
| @ref | Gram stain | Confidence | |
|---|---|---|---|
| 125439 | negative | 90.5 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 1297 | METHANOSPHAERA MEDIUM (DSMZ Medium 322) | Medium recipe at MediaDive | Name: METHANOSPHAERA MEDIUM (DSMZ Medium 322) Composition: Methanol 7.70428 g/l NaHCO3 3.89105 g/l KH2PO4 2.72374 g/l Trypticase peptone 1.94553 g/l Yeast extract 1.94553 g/l NH4Cl 0.972763 g/l NaCl 0.583658 g/l K2HPO4 0.583658 g/l Na-acetate 0.486381 g/l Na-formate 0.486381 g/l DL-Dithiothreitol 0.486381 g/l (NH4)2SO4 0.291829 g/l MgSO4 x 7 H2O 0.145914 g/l CaCl2 x 2 H2O 0.077821 g/l Nitrilotriacetic acid 0.0145914 g/l MnSO4 x H2O 0.00486381 g/l FeSO4 x 7 H2O 0.00291829 g/l Na2SeO4 0.00184825 g/l ZnSO4 x 7 H2O 0.00175097 g/l CoSO4 x 7 H2O 0.00175097 g/l NiCl2 x 6 H2O 0.000680934 g/l Sodium resazurin 0.000486381 g/l AlK(SO4)2 x 12 H2O 0.000194553 g/l Pyridoxine hydrochloride 0.000194553 g/l CuSO4 x 5 H2O 9.72763e-05 g/l (DL)-alpha-Lipoic acid 9.72763e-05 g/l H3BO3 9.72763e-05 g/l Thiamine HCl 9.72763e-05 g/l Riboflavin 9.72763e-05 g/l Nicotinic acid 9.72763e-05 g/l Calcium D-(+)-pantothenate 9.72763e-05 g/l p-Aminobenzoic acid 9.72763e-05 g/l Na2MoO4 x 2 H2O 9.72763e-05 g/l Biotin 3.89105e-05 g/l Folic acid 3.89105e-05 g/l Na2WO4 x 2 H2O 3.89105e-06 g/l Na2SeO3 x 5 H2O 2.91829e-06 g/l Vitamin B12 1.94553e-06 g/l Distilled water H2SO4 |
| @ref | Spore formation | Confidence | |
|---|---|---|---|
| 125439 | 97.9 |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | anapleurotic synthesis of oxalacetate | 100 | 1 of 1 | ||
| 66794 | suberin monomers biosynthesis | 100 | 2 of 2 | ||
| 66794 | UDP-GlcNAc biosynthesis | 100 | 3 of 3 | ||
| 66794 | coenzyme A metabolism | 100 | 4 of 4 | ||
| 66794 | formaldehyde oxidation | 100 | 3 of 3 | ||
| 66794 | ethanol fermentation | 100 | 2 of 2 | ||
| 66794 | ribulose monophosphate pathway | 100 | 2 of 2 | ||
| 66794 | coenzyme M biosynthesis | 90 | 9 of 10 | ||
| 66794 | chorismate metabolism | 88.89 | 8 of 9 | ||
| 66794 | isoleucine metabolism | 87.5 | 7 of 8 | ||
| 66794 | flavin biosynthesis | 86.67 | 13 of 15 | ||
| 66794 | hydrogen production | 80 | 4 of 5 | ||
| 66794 | methanofuran biosynthesis | 80 | 4 of 5 | ||
| 66794 | factor 420 biosynthesis | 80 | 4 of 5 | ||
| 66794 | aspartate and asparagine metabolism | 77.78 | 7 of 9 | ||
| 66794 | valine metabolism | 77.78 | 7 of 9 | ||
| 66794 | palmitate biosynthesis | 77.27 | 17 of 22 | ||
| 66794 | phenylalanine metabolism | 76.92 | 10 of 13 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 75 | 6 of 8 | ||
| 66794 | CMP-KDO biosynthesis | 75 | 3 of 4 | ||
| 66794 | cardiolipin biosynthesis | 71.43 | 5 of 7 | ||
| 66794 | vitamin B1 metabolism | 69.23 | 9 of 13 | ||
| 66794 | octane oxidation | 66.67 | 2 of 3 | ||
| 66794 | methanogenesis from CO2 | 66.67 | 8 of 12 | ||
| 66794 | acetoin degradation | 66.67 | 2 of 3 | ||
| 66794 | selenocysteine biosynthesis | 66.67 | 4 of 6 | ||
| 66794 | d-mannose degradation | 66.67 | 6 of 9 | ||
| 66794 | NAD metabolism | 66.67 | 12 of 18 | ||
| 66794 | vitamin B12 metabolism | 64.71 | 22 of 34 | ||
| 66794 | heme metabolism | 64.29 | 9 of 14 | ||
| 66794 | photosynthesis | 64.29 | 9 of 14 | ||
| 66794 | dTDPLrhamnose biosynthesis | 62.5 | 5 of 8 | ||
| 66794 | gluconeogenesis | 62.5 | 5 of 8 | ||
| 66794 | purine metabolism | 60.64 | 57 of 94 | ||
| 66794 | lipid metabolism | 58.06 | 18 of 31 | ||
| 66794 | pyrimidine metabolism | 57.78 | 26 of 45 | ||
| 66794 | propanol degradation | 57.14 | 4 of 7 | ||
| 66794 | serine metabolism | 55.56 | 5 of 9 | ||
| 66794 | nitrate assimilation | 55.56 | 5 of 9 | ||
| 66794 | arginine metabolism | 54.17 | 13 of 24 | ||
| 66794 | glutamate and glutamine metabolism | 53.57 | 15 of 28 | ||
| 66794 | peptidoglycan biosynthesis | 53.33 | 8 of 15 | ||
| 66794 | threonine metabolism | 50 | 5 of 10 | ||
| 66794 | glycogen biosynthesis | 50 | 2 of 4 | ||
| 66794 | adipate degradation | 50 | 1 of 2 | ||
| 66794 | CDP-diacylglycerol biosynthesis | 50 | 1 of 2 | ||
| 66794 | glycolate and glyoxylate degradation | 50 | 3 of 6 | ||
| 66794 | acetate fermentation | 50 | 2 of 4 | ||
| 66794 | C4 and CAM-carbon fixation | 50 | 4 of 8 | ||
| 66794 | aminopropanol phosphate biosynthesis | 50 | 1 of 2 | ||
| 66794 | cis-vaccenate biosynthesis | 50 | 1 of 2 | ||
| 66794 | biotin biosynthesis | 50 | 2 of 4 | ||
| 66794 | pantothenate biosynthesis | 50 | 3 of 6 | ||
| 66794 | glycine metabolism | 50 | 5 of 10 | ||
| 66794 | histidine metabolism | 48.28 | 14 of 29 | ||
| 66794 | glycolysis | 47.06 | 8 of 17 | ||
| 66794 | leucine metabolism | 46.15 | 6 of 13 | ||
| 66794 | methionine metabolism | 46.15 | 12 of 26 | ||
| 66794 | cysteine metabolism | 44.44 | 8 of 18 | ||
| 66794 | reductive acetyl coenzyme A pathway | 42.86 | 3 of 7 | ||
| 66794 | mevalonate metabolism | 42.86 | 3 of 7 | ||
| 66794 | citric acid cycle | 42.86 | 6 of 14 | ||
| 66794 | tryptophan metabolism | 42.11 | 16 of 38 | ||
| 66794 | myo-inositol biosynthesis | 40 | 4 of 10 | ||
| 66794 | oxidative phosphorylation | 39.56 | 36 of 91 | ||
| 66794 | degradation of hexoses | 38.89 | 7 of 18 | ||
| 66794 | urea cycle | 38.46 | 5 of 13 | ||
| 66794 | lysine metabolism | 38.1 | 16 of 42 | ||
| 66794 | ketogluconate metabolism | 37.5 | 3 of 8 | ||
| 66794 | pentose phosphate pathway | 36.36 | 4 of 11 | ||
| 66794 | vitamin B6 metabolism | 36.36 | 4 of 11 | ||
| 66794 | proline metabolism | 36.36 | 4 of 11 | ||
| 66794 | dolichyl-diphosphooligosaccharide biosynthesis | 36.36 | 4 of 11 | ||
| 66794 | tyrosine metabolism | 35.71 | 5 of 14 | ||
| 66794 | tetrahydrofolate metabolism | 35.71 | 5 of 14 | ||
| 66794 | alanine metabolism | 34.48 | 10 of 29 | ||
| 66794 | cyanate degradation | 33.33 | 1 of 3 | ||
| 66794 | CO2 fixation in Crenarchaeota | 33.33 | 3 of 9 | ||
| 66794 | L-lactaldehyde degradation | 33.33 | 1 of 3 | ||
| 66794 | lipid A biosynthesis | 33.33 | 3 of 9 | ||
| 66794 | acetyl CoA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | IAA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | molybdenum cofactor biosynthesis | 33.33 | 3 of 9 | ||
| 66794 | non-pathway related | 31.58 | 12 of 38 | ||
| 66794 | sulfate reduction | 30.77 | 4 of 13 | ||
| 66794 | isoprenoid biosynthesis | 30.77 | 8 of 26 | ||
| 66794 | propionate fermentation | 30 | 3 of 10 | ||
| 66794 | Entner Doudoroff pathway | 30 | 3 of 10 | ||
| 66794 | degradation of pentoses | 28.57 | 8 of 28 | ||
| 66794 | glutathione metabolism | 28.57 | 4 of 14 | ||
| 66794 | benzoyl-CoA degradation | 28.57 | 2 of 7 | ||
| 66794 | polyamine pathway | 26.09 | 6 of 23 | ||
| 66794 | butanoate fermentation | 25 | 1 of 4 | ||
| 66794 | catecholamine biosynthesis | 25 | 1 of 4 | ||
| 66794 | lactate fermentation | 25 | 1 of 4 | ||
| 66794 | toluene degradation | 25 | 1 of 4 | ||
| 66794 | ppGpp biosynthesis | 25 | 1 of 4 | ||
| 66794 | sulfopterin metabolism | 25 | 1 of 4 | ||
| 66794 | phosphatidylethanolamine bioynthesis | 23.08 | 3 of 13 | ||
| 66794 | ascorbate metabolism | 22.73 | 5 of 22 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Host | #Human | - | |
| #Host Body Product | #Gastrointestinal tract | #Feces (Stool) |
Global distribution of 16S sequence JQ346752 (>99% sequence identity) for Methanosphaera from Microbeatlas ![]()
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 97.90 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 54.10 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 90.50 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | facultative anaerobe | 91.40 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 64.67 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 90.28 | no |
| 125438 | aerobic | aerobicⓘ | no | 89.00 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 89.90 | no |
| 125438 | thermophilic | thermophileⓘ | no | 82.88 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 84.96 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| 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 | ||
| Effects of fecal microbiota transplantation on the abundance and diversity of selected fungal and archaeal species in the gut microbiota in the rat model of schizophrenia. | Krawczyk A, Kasperski T, Gosiewski T, Nikiforuk A, Potasiewicz A, Arent Z, Salamon D. | Pharmacol Rep | 10.1007/s43440-025-00793-8 | 2025 | ||
| 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 | |
| Metabolism | The hydrogen threshold of obligately methyl-reducing methanogens. | Feldewert C, Lang K, Brune A. | FEMS Microbiol Lett | 10.1093/femsle/fnaa137 | 2020 | |
| Phylogeny | Diversity and community of methanogens in the large intestine of finishing pigs. | Mi J, Peng H, Wu Y, Wang Y, Liao X. | BMC Microbiol | 10.1186/s12866-019-1459-x | 2019 | |
| Meconial Methanobrevibacter smithii suggests intrauterine methanogen colonization in preterm neonates. | Sereme Y, Guindo CO, Filleron A, Corbeau P, Tran TA, Drancourt M, Vitte J, Grine G. | Curr Res Microb Sci | 10.1016/j.crmicr.2021.100034 | 2021 | ||
| Proteomic and metabolomic profiling of extracellular vesicles produced by human gut archaea | Weinberger V, Darnhofer B, Thapa H, Mertelj P, Stentz R, Jones E, Grabmann G, Mohammadzadeh R, Shinde T, Karner C, Ober J, Juodeikis R, Pernitsch D, Hingerl K, Zurabishvili T, Kumpitsch C, Kuehnast T, Rinner B, Strohmaier H, Kolb D, Gotts K, Weichhart T, Kocher T, Kofeler H, Carding S, Schild S, Moissl-Eichinger C. | Nat Commun | 2025 | |||
| Methanogenic Archaea in the Pediatric Inflammatory Bowel Disease in Relation to Disease Type and Activity. | Cisek AA, Szymanska E, Wierzbicka-Rucinska A, Aleksandrzak-Piekarczyk T, Cukrowska B. | Int J Mol Sci | 10.3390/ijms25010673 | 2024 | ||
| Enzymology | The Characterization of Ancient Methanococcales Malate Dehydrogenases Reveals That Strong Thermal Stability Prevents Unfolding Under Intense gamma-Irradiation. | Madern D, Halgand F, Houee-Levin C, Dufour AB, Coquille S, Ansanay-Alex S, Sacquin-Mora S, Brochier-Armanet C. | Mol Biol Evol | 10.1093/molbev/msae231 | 2024 | |
| Genetics | Longitudinal flux balance analyses of a patient with episodic colonic inflammation reveals microbiome metabolic dynamics. | Basile A, Heinken A, Hertel J, Smarr L, Li W, Treu L, Valle G, Campanaro S, Thiele I. | Gut Microbes | 10.1080/19490976.2023.2226921 | 2023 | |
| The sanitary indoor environment-a potential source for intact human-associated anaerobes. | Pausan MR, Blohs M, Mahnert A, Moissl-Eichinger C. | NPJ Biofilms Microbiomes | 10.1038/s41522-022-00305-z | 2022 | ||
| Oral amoxicillin treatment disrupts the gut microbiome and metabolome without interfering with luminal redox potential in the intestine of Wistar Han rats. | Bermudez-Sanchez S, Bahl MI, Hansen EB, Licht TR, Laursen MF. | FEMS Microbiol Ecol | 10.1093/femsec/fiaf003 | 2025 | ||
| Methanogens and Hydrogen Sulfide Producing Bacteria Guide Distinct Gut Microbe Profiles and Irritable Bowel Syndrome Subtypes. | Villanueva-Millan MJ, Leite G, Wang J, Morales W, Parodi G, Pimentel ML, Barlow GM, Mathur R, Rezaie A, Sanchez M, Ayyad S, Cohrs D, Chang C, Rashid M, Hosseini A, Fiorentino A, Weitsman S, Chuang B, Chang B, Pichetshote N, Pimentel M. | Am J Gastroenterol | 10.14309/ajg.0000000000001997 | 2022 | ||
| The Human-Associated Archaeon Methanosphaera stadtmanae Is Recognized through Its RNA and Induces TLR8-Dependent NLRP3 Inflammasome Activation. | Vierbuchen T, Bang C, Rosigkeit H, Schmitz RA, Heine H. | Front Immunol | 10.3389/fimmu.2017.01535 | 2017 | ||
| Evolving understanding of rumen methanogen ecophysiology. | Khairunisa BH, Heryakusuma C, Ike K, Mukhopadhyay B, Susanti D. | Front Microbiol | 10.3389/fmicb.2023.1296008 | 2023 | ||
| Biofilm formation of mucosa-associated methanoarchaeal strains. | Bang C, Ehlers C, Orell A, Prasse D, Spinner M, Gorb SN, Albers SV, Schmitz RA. | Front Microbiol | 10.3389/fmicb.2014.00353 | 2014 | ||
| Pathogenicity | Microbiome Markers in Gastrointestinal Disorders: Inflammatory Bowel Disease, Colorectal Cancer, and Celiac Disease. | San-Martin MI, Chamizo-Ampudia A, Sanchiz A, Ferrero MA, Martinez-Blanco H, Rodriguez-Aparicio LB, Navasa N. | Int J Mol Sci | 10.3390/ijms26104818 | 2025 | |
| Bacterial and Archaeal Diversity in the Gastrointestinal Tract of the North American Beaver (Castor canadensis). | Gruninger RJ, McAllister TA, Forster RJ. | PLoS One | 10.1371/journal.pone.0156457 | 2016 | ||
| Alterations in intestinal Archaea composition in pediatric patients with Crohn's disease based on next-generation sequencing - a pilot study. | Krawczyk A, Gosiewski T, Zapala B, Kowalska-Duplaga K, Salamon D. | Gut Microbes | 10.1080/19490976.2023.2276806 | 2023 | ||
| Metabolism | CD Obesity-Prone Rats, but not Obesity-Resistant Rats, Robustly Ferment Resistant Starch Without Increased Weight or Fat Accretion. | Obanda D, Page R, Guice J, Raggio AM, Husseneder C, Marx B, Stout RW, Welsh DA, Taylor CM, Luo M, Blanchard EE, Bendiks Z, Coulon D, Keenan MJ. | Obesity (Silver Spring) | 10.1002/oby.22120 | 2018 | |
| The intestinal archaea Methanosphaera stadtmanae and Methanobrevibacter smithii activate human dendritic cells. | Bang C, Weidenbach K, Gutsmann T, Heine H, Schmitz RA. | PLoS One | 10.1371/journal.pone.0099411 | 2014 | ||
| Pathogenicity | Tungsten-enhanced growth of Methanosphaera stadtmanae. | Dridi B, Khelaifia S, Fardeau ML, Ollivier B, Drancourt M. | BMC Res Notes | 10.1186/1756-0500-5-238 | 2012 | |
| Genetics | Targeted isolation of Methanobrevibacter strains from fecal samples expands the cultivated human archaeome. | Duller S, Vrbancic S, Szydlowski L, Mahnert A, Blohs M, Predl M, Kumpitsch C, Zrim V, Hogenauer C, Kosciolek T, Schmitz RA, Eberhard A, Dragovan M, Schmidberger L, Zurabischvili T, Weinberger V, Moser AM, Kolb D, Pernitsch D, Mohammadzadeh R, Kuhnast T, Rattei T, Moissl-Eichinger C. | Nat Commun | 10.1038/s41467-024-52037-7 | 2024 | |
| Enzymology | A Reduced F420-Dependent Nitrite Reductase in an Anaerobic Methanotrophic Archaeon. | Heryakusuma C, Susanti D, Yu H, Li Z, Purwantini E, Hettich RL, Orphan VJ, Mukhopadhyay B. | J Bacteriol | 10.1128/jb.00078-22 | 2022 | |
| Genetics | Acute appendicitis manifests as two microbiome state types with oral pathogens influencing severity. | Blohs M, Mahnert A, Brunnader K, Flucher C, Castellani C, Till H, Singer G, Moissl-Eichinger C. | Gut Microbes | 10.1080/19490976.2022.2145845 | 2023 | |
| Genetics | GenomeFingerprinter: the genome fingerprint and the universal genome fingerprint analysis for systematic comparative genomics. | Ai Y, Ai H, Meng F, Zhao L. | PLoS One | 10.1371/journal.pone.0077912 | 2013 | |
| Phylogeny | Comparative Genomic Analysis of Members of the Genera Methanosphaera and Methanobrevibacter Reveals Distinct Clades with Specific Potential Metabolic Functions. | Poehlein A, Schneider D, Soh M, Daniel R, Seedorf H. | Archaea | 10.1155/2018/7609847 | 2018 | |
| 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 | ||
| Pathogenicity | In-vitro archaeacidal activity of biocides against human-associated archaea. | Khelaifia S, Brunel JM, Drancourt M. | PLoS One | 10.1371/journal.pone.0062738 | 2013 | |
| Bile acid metabolism and signaling: Emerging pharmacological targets of dietary polyphenols. | Tveter KM, Mezhibovsky E, Wu Y, Roopchand DE. | Pharmacol Ther | 10.1016/j.pharmthera.2023.108457 | 2023 | ||
| Metabolism | Community composition and density of methanogens in the foregut of the Tammar wallaby (Macropus eugenii). | Evans PN, Hinds LA, Sly LI, McSweeney CS, Morrison M, Wright AD. | Appl Environ Microbiol | 10.1128/aem.02436-08 | 2009 | |
| Phylogeny | A 'universal' type II chaperonin PCR detection system for the investigation of Archaea in complex microbial communities. | Chaban B, Hill JE. | ISME J | 10.1038/ismej.2011.96 | 2012 | |
| Metabolism | Archaea and the human gut: new beginning of an old story. | Gaci N, Borrel G, Tottey W, O'Toole PW, Brugere JF. | World J Gastroenterol | 10.3748/wjg.v20.i43.16062 | 2014 | |
| 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 | ||
| The complete genome sequence of the methanogenic archaeon ISO4-H5 provides insights into the methylotrophic lifestyle of a ruminal representative of the Methanomassiliicoccales. | Li Y, Leahy SC, Jeyanathan J, Henderson G, Cox F, Altermann E, Kelly WJ, Lambie SC, Janssen PH, Rakonjac J, Attwood GT. | Stand Genomic Sci | 10.1186/s40793-016-0183-5 | 2016 | ||
| Metabolism | Ribosomal intergenic spacer analysis as a tool for monitoring methanogenic Archaea changes in an anaerobic digester. | Ciesielski S, Bulkowska K, Dabrowska D, Kaczmarczyk D, Kowal P, Mozejko J. | Curr Microbiol | 10.1007/s00284-013-0353-2 | 2013 | |
| Metabolism | Systematic assessment of secondary bile acid metabolism in gut microbes reveals distinct metabolic capabilities in inflammatory bowel disease. | Heinken A, Ravcheev DA, Baldini F, Heirendt L, Fleming RMT, Thiele I. | Microbiome | 10.1186/s40168-019-0689-3 | 2019 | |
| Metabolism | A vaccine against rumen methanogens can alter the composition of archaeal populations. | Williams YJ, Popovski S, Rea SM, Skillman LC, Toovey AF, Northwood KS, Wright AD. | Appl Environ Microbiol | 10.1128/aem.02453-08 | 2009 | |
| Phenotype | Phenotypic differentiation of gastrointestinal microbes is reflected in their encoded metabolic repertoires. | Bauer E, Laczny CC, Magnusdottir S, Wilmes P, Thiele I. | Microbiome | 10.1186/s40168-015-0121-6 | 2015 | |
| 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 | |
| Enzymology | Identification and characterization of gshA, a gene encoding the glutamate-cysteine ligase in the halophilic archaeon Haloferax volcanii. | Malki L, Yanku M, Borovok I, Cohen G, Mevarech M, Aharonowitz Y. | J Bacteriol | 10.1128/jb.00297-09 | 2009 | |
| Genetics | DOOR: a database for prokaryotic operons. | Mao F, Dam P, Chou J, Olman V, Xu Y. | Nucleic Acids Res | 10.1093/nar/gkn757 | 2009 | |
| Phylogeny and Taxonomy of Archaea: A Comparison of the Whole-Genome-Based CVTree Approach with 16S rRNA Sequence Analysis. | Zuo G, Xu Z, Hao B. | Life (Basel) | 10.3390/life5010949 | 2015 | ||
| Metabolism | An intertwined evolutionary history of methanogenic archaea and sulfate reduction. | Susanti D, Mukhopadhyay B. | PLoS One | 10.1371/journal.pone.0045313 | 2012 | |
| Genetics | Sequence evidence in the archaeal genomes that tRNAs emerged through the combination of ancestral genes as 5' and 3' tRNA halves. | Fujishima K, Sugahara J, Tomita M, Kanai A. | PLoS One | 10.1371/journal.pone.0001622 | 2008 | |
| Metabolism | Metabolism of Oxo-Bile Acids and Characterization of Recombinant 12alpha-Hydroxysteroid Dehydrogenases from Bile Acid 7alpha-Dehydroxylating Human Gut Bacteria. | Doden H, Sallam LA, Devendran S, Ly L, Doden G, Daniel SL, Alves JMP, Ridlon JM. | Appl Environ Microbiol | 10.1128/aem.00235-18 | 2018 | |
| Pathogenicity | Effects of antimicrobial peptides on methanogenic archaea. | Bang C, Schilhabel A, Weidenbach K, Kopp A, Goldmann T, Gutsmann T, Schmitz RA. | Antimicrob Agents Chemother | 10.1128/aac.00661-12 | 2012 | |
| Comparative genomics highlights the unique biology of Methanomassiliicoccales, a Thermoplasmatales-related seventh order of methanogenic archaea that encodes pyrrolysine. | Borrel G, Parisot N, Harris HM, Peyretaillade E, Gaci N, Tottey W, Bardot O, Raymann K, Gribaldo S, Peyret P, O'Toole PW, Brugere JF. | BMC Genomics | 10.1186/1471-2164-15-679 | 2014 | ||
| Phylogeny | Extreme Deviations from Expected Evolutionary Rates in Archaeal Protein Families. | Petitjean C, Makarova KS, Wolf YI, Koonin EV. | Genome Biol Evol | 10.1093/gbe/evx189 | 2017 | |
| Genetics | Gene capture coupled to high-throughput sequencing as a strategy for targeted metagenome exploration. | Denonfoux J, Parisot N, Dugat-Bony E, Biderre-Petit C, Boucher D, Morgavi DP, Le Paslier D, Peyretaillade E, Peyret P. | DNA Res | 10.1093/dnares/dst001 | 2013 | |
| Distribution of nitrogen fixation and nitrogenase-like sequences amongst microbial genomes. | Dos Santos PC, Fang Z, Mason SW, Setubal JC, Dixon R. | BMC Genomics | 10.1186/1471-2164-13-162 | 2012 | ||
| Metabolism | Genome sequence of a mesophilic hydrogenotrophic methanogen Methanocella paludicola, the first cultivated representative of the order Methanocellales. | Sakai S, Takaki Y, Shimamura S, Sekine M, Tajima T, Kosugi H, Ichikawa N, Tasumi E, Hiraki AT, Shimizu A, Kato Y, Nishiko R, Mori K, Fujita N, Imachi H, Takai K. | PLoS One | 10.1371/journal.pone.0022898 | 2011 | |
| 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 | |
| Metabolism | An uncharacterized member of the ribokinase family in Thermococcus kodakarensis exhibits myo-inositol kinase activity. | Sato T, Fujihashi M, Miyamoto Y, Kuwata K, Kusaka E, Fujita H, Miki K, Atomi H. | J Biol Chem | 10.1074/jbc.m113.457259 | 2013 | |
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| #1297 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 3091 |
| #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 ) |
| #20218 | Verslyppe, B., De Smet, W., De Baets, B., De Vos, P., Dawyndt P.: StrainInfo introduces electronic passports for microorganisms.. Syst Appl Microbiol. 37: 42 - 50 2014 ( DOI 10.1016/j.syapm.2013.11.002 , PubMed 24321274 ) |
| #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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BacDive in 2025: the core database for prokaryotic strain data