Butyrivibrio hungatei JK 615 is an anaerobe bacterium that was isolated from rumen fluid of sheep on a pasture.
anaerobe genome sequence 16S sequence Bacteria| @ref 20215 |
|
|
| Domain Bacteria |
| Phylum Bacillota |
| Class Clostridia |
| Order Eubacteriales |
| Family Lachnospiraceae |
| Genus Butyrivibrio |
| Species Butyrivibrio hungatei |
| Full scientific name Butyrivibrio hungatei Kopecný et al. 2003 |
| BacDive ID | Other strains from Butyrivibrio hungatei (2) | Type strain |
|---|---|---|
| 6350 | B. hungatei DSM 10295, NCFB 2398 | |
| 176811 | B. hungatei MB2003, DSM 120820 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 5557 | RUMEN BACTERIA MEDIUM (DSMZ Medium 330) | Medium recipe at MediaDive | Name: RUMEN BACTERIA MEDIUM (DSMZ Medium 330) Composition: Na2CO3 4.0 g/l Trypticase peptone 2.0 g/l D-Glucose 0.5 g/l Yeast extract 0.5 g/l Maltose 0.5 g/l Cellobiose 0.5 g/l Starch 0.5 g/l Glycerol 0.5 g/l NaCl 0.456 g/l K2HPO4 0.3 g/l L-Cysteine HCl x H2O 0.25 g/l Na2S x 9 H2O 0.25 g/l (NH4)2SO4 0.228 g/l KH2PO4 0.228 g/l MgSO4 x 7 H2O 0.095 g/l CaCl2 x 2 H2O 0.0608 g/l Hemin 0.001 g/l Sodium resazurin 0.0005 g/l NaOH None Distilled water | ||
| 33177 | MEDIUM 20 - for Anaerobic bacteria | Agar (15.000 g);Glucose (5.000 g);Yeast extract (20.000 g);Tryptone (30.000 g);Cysteine hydrochloride (0.500 g);distilled water (1000.000 ml);Hemin solution -M00149 (25.000 ml) |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | cellulose degradation | 100 | 5 of 5 | ||
| 66794 | teichoic acid biosynthesis | 100 | 1 of 1 | ||
| 66794 | C4 and CAM-carbon fixation | 100 | 8 of 8 | ||
| 66794 | gluconeogenesis | 100 | 8 of 8 | ||
| 66794 | adipate degradation | 100 | 2 of 2 | ||
| 66794 | CDP-diacylglycerol biosynthesis | 100 | 2 of 2 | ||
| 66794 | UDP-GlcNAc biosynthesis | 100 | 3 of 3 | ||
| 66794 | L-lactaldehyde degradation | 100 | 3 of 3 | ||
| 66794 | formaldehyde oxidation | 100 | 3 of 3 | ||
| 66794 | starch degradation | 100 | 10 of 10 | ||
| 66794 | cis-vaccenate biosynthesis | 100 | 2 of 2 | ||
| 66794 | vitamin E metabolism | 100 | 4 of 4 | ||
| 66794 | suberin monomers biosynthesis | 100 | 2 of 2 | ||
| 66794 | folate polyglutamylation | 100 | 1 of 1 | ||
| 66794 | anapleurotic synthesis of oxalacetate | 100 | 1 of 1 | ||
| 66794 | palmitate biosynthesis | 100 | 22 of 22 | ||
| 66794 | ppGpp biosynthesis | 100 | 4 of 4 | ||
| 66794 | coenzyme A metabolism | 100 | 4 of 4 | ||
| 66794 | vitamin B1 metabolism | 92.31 | 12 of 13 | ||
| 66794 | threonine metabolism | 90 | 9 of 10 | ||
| 66794 | myo-inositol biosynthesis | 90 | 9 of 10 | ||
| 66794 | d-mannose degradation | 88.89 | 8 of 9 | ||
| 66794 | aspartate and asparagine metabolism | 88.89 | 8 of 9 | ||
| 66794 | chorismate metabolism | 88.89 | 8 of 9 | ||
| 66794 | peptidoglycan biosynthesis | 80 | 12 of 15 | ||
| 66794 | glycogen metabolism | 80 | 4 of 5 | ||
| 66794 | metabolism of amino sugars and derivatives | 80 | 4 of 5 | ||
| 66794 | Entner Doudoroff pathway | 80 | 8 of 10 | ||
| 66794 | glycine betaine biosynthesis | 80 | 4 of 5 | ||
| 66794 | CO2 fixation in Crenarchaeota | 77.78 | 7 of 9 | ||
| 66794 | valine metabolism | 77.78 | 7 of 9 | ||
| 66794 | CMP-KDO biosynthesis | 75 | 3 of 4 | ||
| 66794 | isoleucine metabolism | 75 | 6 of 8 | ||
| 66794 | butanoate fermentation | 75 | 3 of 4 | ||
| 66794 | acetate fermentation | 75 | 3 of 4 | ||
| 66794 | glycogen biosynthesis | 75 | 3 of 4 | ||
| 66794 | pyrimidine metabolism | 73.33 | 33 of 45 | ||
| 66794 | purine metabolism | 72.34 | 68 of 94 | ||
| 66794 | degradation of hexoses | 72.22 | 13 of 18 | ||
| 66794 | NAD metabolism | 72.22 | 13 of 18 | ||
| 66794 | cardiolipin biosynthesis | 71.43 | 5 of 7 | ||
| 66794 | photosynthesis | 71.43 | 10 of 14 | ||
| 66794 | glycolysis | 70.59 | 12 of 17 | ||
| 66794 | polyamine pathway | 69.57 | 16 of 23 | ||
| 66794 | phenylalanine metabolism | 69.23 | 9 of 13 | ||
| 66794 | acetoin degradation | 66.67 | 2 of 3 | ||
| 66794 | octane oxidation | 66.67 | 2 of 3 | ||
| 66794 | methane metabolism | 66.67 | 2 of 3 | ||
| 66794 | serine metabolism | 66.67 | 6 of 9 | ||
| 66794 | oxidative phosphorylation | 65.93 | 60 of 91 | ||
| 66794 | methionine metabolism | 65.38 | 17 of 26 | ||
| 66794 | glutamate and glutamine metabolism | 64.29 | 18 of 28 | ||
| 66794 | d-xylose degradation | 63.64 | 7 of 11 | ||
| 66794 | dTDPLrhamnose biosynthesis | 62.5 | 5 of 8 | ||
| 66794 | degradation of sugar alcohols | 62.5 | 10 of 16 | ||
| 66794 | methylglyoxal degradation | 60 | 3 of 5 | ||
| 66794 | hydrogen production | 60 | 3 of 5 | ||
| 66794 | ubiquinone biosynthesis | 57.14 | 4 of 7 | ||
| 66794 | non-pathway related | 55.26 | 21 of 38 | ||
| 66794 | tryptophan metabolism | 55.26 | 21 of 38 | ||
| 66794 | metabolism of disaccharids | 54.55 | 6 of 11 | ||
| 66794 | leucine metabolism | 53.85 | 7 of 13 | ||
| 66794 | degradation of sugar acids | 52 | 13 of 25 | ||
| 66794 | histidine metabolism | 51.72 | 15 of 29 | ||
| 66794 | alanine metabolism | 51.72 | 15 of 29 | ||
| 66794 | degradation of aromatic, nitrogen containing compounds | 50 | 6 of 12 | ||
| 66794 | phenylmercury acetate degradation | 50 | 1 of 2 | ||
| 66794 | degradation of pentoses | 50 | 14 of 28 | ||
| 66794 | ketogluconate metabolism | 50 | 4 of 8 | ||
| 66794 | selenocysteine biosynthesis | 50 | 3 of 6 | ||
| 66794 | cysteine metabolism | 50 | 9 of 18 | ||
| 66794 | ethanol fermentation | 50 | 1 of 2 | ||
| 66794 | tetrahydrofolate metabolism | 50 | 7 of 14 | ||
| 66794 | aminopropanol phosphate biosynthesis | 50 | 1 of 2 | ||
| 66794 | isoprenoid biosynthesis | 46.15 | 12 of 26 | ||
| 66794 | proline metabolism | 45.45 | 5 of 11 | ||
| 66794 | vitamin B6 metabolism | 45.45 | 5 of 11 | ||
| 66794 | lysine metabolism | 45.24 | 19 of 42 | ||
| 66794 | reductive acetyl coenzyme A pathway | 42.86 | 3 of 7 | ||
| 66794 | citric acid cycle | 42.86 | 6 of 14 | ||
| 66794 | propanol degradation | 42.86 | 3 of 7 | ||
| 66794 | lipid metabolism | 41.94 | 13 of 31 | ||
| 66794 | arginine metabolism | 41.67 | 10 of 24 | ||
| 66794 | O-antigen biosynthesis | 40 | 2 of 5 | ||
| 66794 | propionate fermentation | 40 | 4 of 10 | ||
| 66794 | arachidonate biosynthesis | 40 | 2 of 5 | ||
| 66794 | sulfate reduction | 38.46 | 5 of 13 | ||
| 66794 | urea cycle | 38.46 | 5 of 13 | ||
| 66794 | pentose phosphate pathway | 36.36 | 4 of 11 | ||
| 66794 | glycolate and glyoxylate degradation | 33.33 | 2 of 6 | ||
| 66794 | IAA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | cyanate degradation | 33.33 | 1 of 3 | ||
| 66794 | lipid A biosynthesis | 33.33 | 3 of 9 | ||
| 66794 | 4-hydroxymandelate degradation | 33.33 | 3 of 9 | ||
| 66794 | sphingosine metabolism | 33.33 | 2 of 6 | ||
| 66794 | flavin biosynthesis | 33.33 | 5 of 15 | ||
| 66794 | enterobactin biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | molybdenum cofactor biosynthesis | 33.33 | 3 of 9 | ||
| 66794 | vitamin B12 metabolism | 32.35 | 11 of 34 | ||
| 66794 | androgen and estrogen metabolism | 31.25 | 5 of 16 | ||
| 66794 | coenzyme M biosynthesis | 30 | 3 of 10 | ||
| 66794 | glycine metabolism | 30 | 3 of 10 | ||
| 66794 | benzoyl-CoA degradation | 28.57 | 2 of 7 | ||
| 66794 | tyrosine metabolism | 28.57 | 4 of 14 | ||
| 66794 | dolichyl-diphosphooligosaccharide biosynthesis | 27.27 | 3 of 11 | ||
| 66794 | cyclohexanol degradation | 25 | 1 of 4 | ||
| 66794 | carnitine metabolism | 25 | 2 of 8 | ||
| 66794 | lactate fermentation | 25 | 1 of 4 | ||
| 66794 | biotin biosynthesis | 25 | 1 of 4 | ||
| 66794 | toluene degradation | 25 | 1 of 4 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 25 | 2 of 8 | ||
| 66794 | phenylpropanoid biosynthesis | 23.08 | 3 of 13 | ||
| 66794 | carotenoid biosynthesis | 22.73 | 5 of 22 | ||
| 66794 | ascorbate metabolism | 22.73 | 5 of 22 | ||
| 66794 | nitrate assimilation | 22.22 | 2 of 9 | ||
| 66794 | arachidonic acid metabolism | 22.22 | 4 of 18 | ||
| 66794 | glutathione metabolism | 21.43 | 3 of 14 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Environmental | #Terrestrial | #Grassland | |
| #Host | #Mammals | #Caprinae (Sheep/Goat) | |
| #Host Body-Site | #Organ | #Rumen | |
| #Host Body Product | #Fluids | #Rumen fluid |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 5557 | rumen fluid of sheep on a pasture | Central Bohemia, Mnichovice | Czech Republic | CZE | Europe |
Global distribution of 16S sequence AJ428553 (>99% sequence identity) for Butyrivibrio hungatei from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | IMG-taxon 2582580726 annotated assembly for Butyrivibrio hungatei DSM 14810 | scaffold | 1121132 | 74.7 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 5557 | Butyrivibrio hungatei partial 16S rRNA gene, strain JK 615 | AJ428553 | 1475 | 185008 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 5557 | 44.8 | high performance liquid chromatography (HPLC) |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | anaerobe | 99.20 | no |
| 125439 | gram_stain | BacteriaNetⓘ | variable | 81.80 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 70.00 | no |
| 125439 | spore_formation | BacteriaNetⓘ | yes | 60.20 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 64.03 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 95.87 | no |
| 125438 | aerobic | aerobicⓘ | no | 97.08 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 50.20 | no |
| 125438 | thermophilic | thermophileⓘ | no | 90.56 | no |
| 125438 | flagellated | motile2+ⓘ | yes | 71.83 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Genetics | Draft genome sequences of Butyrivibrio hungatei DSM 14810 (JK 615T) and Butyrivibrio fibrisolvens DSM 3071 (D1T). | Berner K, Zoza-Veloz M, Nolan M, Graham D, Ivanova N, Seshadri R, Spring S, Escobar M. | Microbiol Resour Announc | 10.1128/mra.00517-24 | 2024 | |
| Metabolism | Characterization of variations within the rumen metaproteome of Holstein dairy cattle relative to morning feed offering. | Honan MC, Greenwood SL. | Sci Rep | 10.1038/s41598-020-59974-5 | 2020 | |
| Characterization of antibiotic resistance genes in the species of the rumen microbiota. | Sabino YNV, Santana MF, Oyama LB, Santos FG, Moreira AJS, Huws SA, Mantovani HC. | Nat Commun | 10.1038/s41467-019-13118-0 | 2019 | ||
| Phylogeny | Butyrivibrio hungatei sp. nov. and Pseudobutyrivibrio xylanivorans sp. nov., butyrate-producing bacteria from the rumen. | Kopecny J, Zorec M, Mrazek J, Kobayashi Y, Marinsek-Logar R | Int J Syst Evol Microbiol | 10.1099/ijs.0.02345-0 | 2003 |
| #5557 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 14810 |
| #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 ) |
| #33177 | ; Curators of the CIP; |
| #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 ) |
| #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 ) |
You found an error in BacDive? Please tell us about it!
Note that changes will be reviewed and judged. If your changes are legitimate, changes will occur within the next BacDive update. Only proposed changes supported by the according reference will be reviewed. The BacDive team reserves the right to reject proposed changes.
Successfully sent
If you want to cite this particular strain cite the following doi:
https://doi.org/10.13145/bacdive6351.20251217.10
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data