Rikenella microfusus Q-1 is an anaerobe bacterium that was isolated from Quail cecum.
anaerobe genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Bacteroidota |
| Class Bacteroidia |
| Order Bacteroidales |
| Family Rikenellaceae |
| Genus Rikenella |
| Species Rikenella microfusus |
| Full scientific name Rikenella microfusus (Kaneuchi and Mitsuoka 1978) Collins et al. 1985 |
| Synonyms (1) |
| BacDive ID | Other strains from Rikenella microfusus (1) | Type strain |
|---|---|---|
| 143565 | R. microfusus CCUG 20177, JCM 13451, NCTC 11871 |
| 60322 | Incubation period2-3 days |
| @ref: | 66793 |
| multimedia content: | EM_DSM_15922_1.jpg |
| multimedia.multimedia content: | EM_DSM_15922_1.jpg |
| caption: | electron microscopic image |
| intellectual property rights: | © HZI/Manfred Rohde |
| manual_annotation: | 1 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 6185 | COLUMBIA BLOOD MEDIUM (DSMZ Medium 693) | Medium recipe at MediaDive | Name: COLUMBIA BLOOD MEDIUM (DSMZ Medium 693) Composition: Defibrinated sheep blood 50.0 g/l Columbia agar base | ||
| 6185 | CHOPPED MEAT MEDIUM WITH CARBOHYDRATES (DSMZ Medium 110) | Medium recipe at MediaDive | Name: CHOPPED MEAT MEDIUM WITH CARBOHYDRATES (DSMZ Medium 110) Composition: Ground beef 500.0 g/l Casitone 30.0 g/l Agar 15.0 g/l K2HPO4 5.0 g/l Yeast extract 5.0 g/l D-Glucose 4.0 g/l Starch 1.0 g/l Maltose 1.0 g/l Cellobiose 1.0 g/l L-Cysteine HCl 0.5 g/l Ethanol 0.19 g/l Vitamin K3 0.05 g/l Hemin 0.005 g/l Sodium resazurin 0.0005 g/l Vitamin K1 NaOH Distilled water | ||
| 6185 | PYG MEDIUM (MODIFIED) (DSMZ Medium 104) | Medium recipe at MediaDive | Name: PYG MEDIUM (modified) (DSMZ Medium 104) Composition: Yeast extract 10.0 g/l Peptone 5.0 g/l Trypticase peptone 5.0 g/l Beef extract 5.0 g/l Glucose 5.0 g/l L-Cysteine HCl x H2O 0.5 g/l NaHCO3 0.4 g/l NaCl 0.08 g/l K2HPO4 0.04 g/l KH2PO4 0.04 g/l MgSO4 x 7 H2O 0.02 g/l CaCl2 x 2 H2O 0.01 g/l Hemin 0.005 g/l Ethanol 0.0038 g/l Resazurin 0.001 g/l Tween 80 Vitamin K1 NaOH Distilled water |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | C4 and CAM-carbon fixation | 100 | 8 of 8 | ||
| 66794 | coenzyme A metabolism | 100 | 4 of 4 | ||
| 66794 | gluconeogenesis | 100 | 8 of 8 | ||
| 66794 | CDP-diacylglycerol biosynthesis | 100 | 2 of 2 | ||
| 66794 | biotin biosynthesis | 100 | 4 of 4 | ||
| 66794 | suberin monomers biosynthesis | 100 | 2 of 2 | ||
| 66794 | folate polyglutamylation | 100 | 1 of 1 | ||
| 66794 | glycogen metabolism | 100 | 5 of 5 | ||
| 66794 | anapleurotic synthesis of oxalacetate | 100 | 1 of 1 | ||
| 66794 | ppGpp biosynthesis | 100 | 4 of 4 | ||
| 66794 | palmitate biosynthesis | 95.45 | 21 of 22 | ||
| 66794 | starch degradation | 90 | 9 of 10 | ||
| 66794 | lipid A biosynthesis | 88.89 | 8 of 9 | ||
| 66794 | propanol degradation | 85.71 | 6 of 7 | ||
| 66794 | reductive acetyl coenzyme A pathway | 85.71 | 6 of 7 | ||
| 66794 | vitamin B1 metabolism | 84.62 | 11 of 13 | ||
| 66794 | Entner Doudoroff pathway | 80 | 8 of 10 | ||
| 66794 | peptidoglycan biosynthesis | 80 | 12 of 15 | ||
| 66794 | threonine metabolism | 80 | 8 of 10 | ||
| 66794 | glycine betaine biosynthesis | 80 | 4 of 5 | ||
| 66794 | photosynthesis | 78.57 | 11 of 14 | ||
| 66794 | chorismate metabolism | 77.78 | 7 of 9 | ||
| 66794 | pyrimidine metabolism | 75.56 | 34 of 45 | ||
| 66794 | acetate fermentation | 75 | 3 of 4 | ||
| 66794 | glycogen biosynthesis | 75 | 3 of 4 | ||
| 66794 | CMP-KDO biosynthesis | 75 | 3 of 4 | ||
| 66794 | sulfopterin metabolism | 75 | 3 of 4 | ||
| 66794 | flavin biosynthesis | 73.33 | 11 of 15 | ||
| 66794 | NAD metabolism | 72.22 | 13 of 18 | ||
| 66794 | purine metabolism | 71.28 | 67 of 94 | ||
| 66794 | phenylalanine metabolism | 69.23 | 9 of 13 | ||
| 66794 | acetoin degradation | 66.67 | 2 of 3 | ||
| 66794 | d-mannose degradation | 66.67 | 6 of 9 | ||
| 66794 | valine metabolism | 66.67 | 6 of 9 | ||
| 66794 | aspartate and asparagine metabolism | 66.67 | 6 of 9 | ||
| 66794 | L-lactaldehyde degradation | 66.67 | 2 of 3 | ||
| 66794 | glycolysis | 64.71 | 11 of 17 | ||
| 66794 | tetrahydrofolate metabolism | 64.29 | 9 of 14 | ||
| 66794 | isoleucine metabolism | 62.5 | 5 of 8 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 62.5 | 5 of 8 | ||
| 66794 | dTDPLrhamnose biosynthesis | 62.5 | 5 of 8 | ||
| 66794 | glutamate and glutamine metabolism | 60.71 | 17 of 28 | ||
| 66794 | propionate fermentation | 60 | 6 of 10 | ||
| 66794 | coenzyme M biosynthesis | 60 | 6 of 10 | ||
| 66794 | hydrogen production | 60 | 3 of 5 | ||
| 66794 | citric acid cycle | 57.14 | 8 of 14 | ||
| 66794 | serine metabolism | 55.56 | 5 of 9 | ||
| 66794 | histidine metabolism | 55.17 | 16 of 29 | ||
| 66794 | vitamin B6 metabolism | 54.55 | 6 of 11 | ||
| 66794 | pentose phosphate pathway | 54.55 | 6 of 11 | ||
| 66794 | d-xylose degradation | 54.55 | 6 of 11 | ||
| 66794 | proline metabolism | 54.55 | 6 of 11 | ||
| 66794 | isoprenoid biosynthesis | 53.85 | 14 of 26 | ||
| 66794 | ethanol fermentation | 50 | 1 of 2 | ||
| 66794 | degradation of aromatic, nitrogen containing compounds | 50 | 6 of 12 | ||
| 66794 | 1,4-dihydroxy-6-naphthoate biosynthesis | 50 | 3 of 6 | ||
| 66794 | adipate degradation | 50 | 1 of 2 | ||
| 66794 | selenocysteine biosynthesis | 50 | 3 of 6 | ||
| 66794 | ketogluconate metabolism | 50 | 4 of 8 | ||
| 66794 | toluene degradation | 50 | 2 of 4 | ||
| 66794 | butanoate fermentation | 50 | 2 of 4 | ||
| 66794 | cis-vaccenate biosynthesis | 50 | 1 of 2 | ||
| 66794 | non-pathway related | 50 | 19 of 38 | ||
| 66794 | pantothenate biosynthesis | 50 | 3 of 6 | ||
| 66794 | alanine metabolism | 48.28 | 14 of 29 | ||
| 66794 | lysine metabolism | 45.24 | 19 of 42 | ||
| 66794 | lipid metabolism | 45.16 | 14 of 31 | ||
| 66794 | tryptophan metabolism | 44.74 | 17 of 38 | ||
| 66794 | CO2 fixation in Crenarchaeota | 44.44 | 4 of 9 | ||
| 66794 | cysteine metabolism | 44.44 | 8 of 18 | ||
| 66794 | ubiquinone biosynthesis | 42.86 | 3 of 7 | ||
| 66794 | cardiolipin biosynthesis | 42.86 | 3 of 7 | ||
| 66794 | methionine metabolism | 42.31 | 11 of 26 | ||
| 66794 | methylglyoxal degradation | 40 | 2 of 5 | ||
| 66794 | factor 420 biosynthesis | 40 | 2 of 5 | ||
| 66794 | metabolism of amino sugars and derivatives | 40 | 2 of 5 | ||
| 66794 | lipoate biosynthesis | 40 | 2 of 5 | ||
| 66794 | phenylpropanoid biosynthesis | 38.46 | 5 of 13 | ||
| 66794 | arginine metabolism | 37.5 | 9 of 24 | ||
| 66794 | metabolism of disaccharids | 36.36 | 4 of 11 | ||
| 66794 | tyrosine metabolism | 35.71 | 5 of 14 | ||
| 66794 | oxidative phosphorylation | 35.16 | 32 of 91 | ||
| 66794 | formaldehyde oxidation | 33.33 | 1 of 3 | ||
| 66794 | acetyl CoA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | UDP-GlcNAc biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | glycolate and glyoxylate degradation | 33.33 | 2 of 6 | ||
| 66794 | IAA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | molybdenum cofactor biosynthesis | 33.33 | 3 of 9 | ||
| 66794 | cyanate degradation | 33.33 | 1 of 3 | ||
| 66794 | octane oxidation | 33.33 | 1 of 3 | ||
| 66794 | sphingosine metabolism | 33.33 | 2 of 6 | ||
| 66794 | degradation of sugar acids | 32 | 8 of 25 | ||
| 66794 | ascorbate metabolism | 31.82 | 7 of 22 | ||
| 66794 | sulfate reduction | 30.77 | 4 of 13 | ||
| 66794 | urea cycle | 30.77 | 4 of 13 | ||
| 66794 | leucine metabolism | 30.77 | 4 of 13 | ||
| 66794 | myo-inositol biosynthesis | 30 | 3 of 10 | ||
| 66794 | glutathione metabolism | 28.57 | 4 of 14 | ||
| 66794 | degradation of hexoses | 27.78 | 5 of 18 | ||
| 66794 | polyamine pathway | 26.09 | 6 of 23 | ||
| 66794 | alginate biosynthesis | 25 | 1 of 4 | ||
| 66794 | degradation of pentoses | 25 | 7 of 28 | ||
| 66794 | degradation of sugar alcohols | 25 | 4 of 16 | ||
| 66794 | cyclohexanol degradation | 25 | 1 of 4 | ||
| 66794 | lactate fermentation | 25 | 1 of 4 | ||
| 66794 | carnitine metabolism | 25 | 2 of 8 | ||
| 66794 | phosphatidylethanolamine bioynthesis | 23.08 | 3 of 13 | ||
| 66794 | 4-hydroxymandelate degradation | 22.22 | 2 of 9 |
Global distribution of 16S sequence AB971798 (>99% sequence identity) for Rikenella microfusus subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 67770 | ASM42736v1 assembly for Rikenella microfusus DSM 15922 | scaffold | 880526 | 78.31 | ||||
| 67770 | 52683_E03 assembly for Rikenella microfusus NCTC11190 | contig | 28139 | 76.83 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 94.60 | no |
| 125439 | motility | BacteriaNetⓘ | no | 65.10 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 92.00 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | anaerobe | 91.90 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 95.32 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 89.22 | no |
| 125438 | aerobic | aerobicⓘ | no | 97.30 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 93.95 | no |
| 125438 | thermophilic | thermophileⓘ | no | 93.27 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 87.67 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Enriched Aptamer Libraries in Fluorescence-Based Assays for Rikenella microfusus-Specific Gut Microbiome Analyses. | Zhang Y, Xing H, Bolotnikov G, Kramer M, Gotzmann N, Knippschild U, Kissmann AK, Rosenau F. | Microorganisms | 10.3390/microorganisms11092266 | 2023 | ||
| Specific gFET-Based Aptasensors for Monitoring of Microbiome Quality: Quantification of the Enteric Health-Relevant Bacterium Roseburia Intestinalis. | Zhang Y, Xing H, Li R, Andersson J, Bozdogan A, Strassl R, Draphoen B, Linden M, Henkel M, Knippschild U, Hasler R, Kleber C, Knoll W, Kissmann AK, Rosenau F. | Adv Healthc Mater | 10.1002/adhm.202403827 | 2025 | ||
| Lactobacillus acidophilus potentiates oncolytic virotherapy through modulating gut microbiota homeostasis in hepatocellular carcinoma. | Zhang J, Yang J, Luo J, Wu W, Luo H, Wei W, Lyu H, Wang Y, Yi H, Zhang Y, Fan Z, Lyu H, Kanakaveti VP, Qin B, Yuan P, Yang R, Zhang H, Zuo T, Felsher DW, Lee MH, Li K. | Nat Commun | 10.1038/s41467-025-58407-z | 2025 | ||
| A Polyclonal Selex Aptamer Library Directly Allows Specific Labelling of the Human Gut Bacterium Blautia producta without Isolating Individual Aptamers. | Xing H, Zhang Y, Kramer M, Kissmann AK, Henkel M, Weil T, Knippschild U, Rosenau F. | Molecules | 10.3390/molecules27175693 | 2022 | ||
| Polyclonal Aptamers for Specific Fluorescence Labeling and Quantification of the Health Relevant Human Gut Bacterium Parabacteroides distasonis. | Xing H, Kissmann AK, Raber HF, Kramer M, Amann V, Kohn K, Weil T, Rosenau F. | Microorganisms | 10.3390/microorganisms9112284 | 2021 | ||
| A Polyclonal Aptamer Library for the Specific Binding of the Gut Bacterium Roseburia intestinalis in Mixtures with Other Gut Microbiome Bacteria and Human Stool Samples. | Xing H, Zhang Y, Kramer M, Kissmann AK, Amann V, Raber HF, Weil T, Stieger KR, Knippschild U, Henkel M, Andersson J, Rosenau F. | Int J Mol Sci | 10.3390/ijms23147744 | 2022 | ||
| Draft Genome Sequence of Amycolatopsis decaplanina Strain DSM 44594T. | Kaur N, Kumar S, Bala M, Raghava GP, Mayilraj S. | Genome Announc | 10.1128/genomea.00138-13 | 2013 | ||
| Pathogenicity | Exposure to concentrated ambient PM2.5 alters the composition of gut microbiota in a murine model. | Wang W, Zhou J, Chen M, Huang X, Xie X, Li W, Cao Q, Kan H, Xu Y, Ying Z. | Part Fibre Toxicol | 10.1186/s12989-018-0252-6 | 2018 | |
| Metabolism | Restriction-modification mediated barriers to exogenous DNA uptake and incorporation employed by Prevotella intermedia. | Johnston CD, Skeete CA, Fomenkov A, Roberts RJ, Rittling SR. | PLoS One | 10.1371/journal.pone.0185234 | 2017 | |
| Identification of Prevotella Oralis as a possible target antigen in children with Enthesitis related arthritis. | Stoll ML, Duck LW, Chang MH, Colbert RA, Nigrovic PA, Thompson SD, Elson CO. | Clin Immunol | 10.1016/j.clim.2020.108463 | 2020 | ||
| Metabolism | Analysis of the microbial community of the biocathode of a hydrogen-producing microbial electrolysis cell. | Croese E, Pereira MA, Euverink GJ, Stams AJ, Geelhoed JS. | Appl Microbiol Biotechnol | 10.1007/s00253-011-3583-x | 2011 | |
| The application of rumen simulation technique (RUSITEC) for studying dynamics of the bacterial community and metabolome in rumen fluid and the effects of a challenge with Clostridium perfringens. | Wetzels SU, Eger M, Burmester M, Kreienbrock L, Abdulmawjood A, Pinior B, Wagner M, Breves G, Mann E. | PLoS One | 10.1371/journal.pone.0192256 | 2018 | ||
| Enzymology | Detection of unculturable bacteria in periodontal health and disease by PCR. | Harper-Owen R, Dymock D, Booth V, Weightman AJ, Wade WG. | J Clin Microbiol | 10.1128/jcm.37.5.1469-1473.1999 | 1999 | |
| Selenobaculum gbiensis gen. nov. sp. nov., a new bacterium isolated from the gut microbiota of a patient with Crohn's disease. | Yeo S, Park H, Kim H, Ryu CB, Huh CS. | Sci Rep | 10.1038/s41598-023-42017-0 | 2023 | ||
| Phylogeny | Mucinivorans hirudinis gen. nov., sp. nov., an anaerobic, mucin-degrading bacterium isolated from the digestive tract of the medicinal leech Hirudo verbana. | Nelson MC, Bomar L, Maltz M, Graf J | Int J Syst Evol Microbiol | 10.1099/ijs.0.000052 | 2015 | |
| Phylogeny | Acetobacteroides hydrogenigenes gen. nov., sp. nov., an anaerobic hydrogen-producing bacterium in the family Rikenellaceae isolated from a reed swamp. | Su XL, Tian Q, Zhang J, Yuan XZ, Shi XS, Guo RB, Qiu YL | Int J Syst Evol Microbiol | 10.1099/ijs.0.063917-0 | 2014 |
| #6185 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 15922 |
| #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 ) |
| #60322 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 54772 |
| #66793 | Mukherjee et al.: GEBA: 1,003 reference genomes of bacterial and archaeal isolates expand coverage of the tree of life. 35: 676 - 683 2017 ( DOI 10.1038/nbt.3886 , PubMed 28604660 ) |
| #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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