Prevotella buccae DSM 19025 is an anaerobe human pathogen that was isolated from gingival crevice, moderate periodontitis.
anaerobe human pathogen genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Bacteroidota |
| Class Bacteroidia |
| Order Bacteroidales |
| Family Prevotellaceae |
| Genus Prevotella |
| Species Prevotella buccae |
| Full scientific name Prevotella buccae (Holdeman et al. 1982) Shah and Collins 1990 |
| Synonyms (4) |
| BacDive ID | Other strains from Prevotella buccae (2) | Type strain |
|---|---|---|
| 142865 | P. buccae CCUG 15403, ATCC 33690 | |
| 156935 | P. buccae CCUG 67165 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 7845 | 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 | ||
| 7845 | 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 | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 68380 | 29016 ChEBI | arginine | - | hydrolysis | from API rID32A |
| 68380 | 29985 ChEBI | L-glutamate | - | degradation | from API rID32A |
| 68380 | 17632 ChEBI | nitrate | - | reduction | from API rID32A |
| 68380 | 27897 ChEBI | tryptophan | - | energy source | from API rID32A |
| 68380 | 16199 ChEBI | urea | - | hydrolysis | from API rID32A |
| @ref | Chebi-ID | Metabolite | Production | |
|---|---|---|---|---|
| 68380 | 35581 ChEBI | indole | from API rID32A |
| @ref | Chebi-ID | Metabolite | Indole test | |
|---|---|---|---|---|
| 68380 | 35581 ChEBI | indole | - | from API rID32A |
| @ref | Value | Activity | Ec | |
|---|---|---|---|---|
| 68380 | alanine arylamidase | + | 3.4.11.2 | from API rID32A |
| 68380 | alkaline phosphatase | + | 3.1.3.1 | from API rID32A |
| 68380 | alpha-arabinosidase | + | 3.2.1.55 | from API rID32A |
| 68380 | alpha-fucosidase | - | 3.2.1.51 | from API rID32A |
| 68380 | alpha-galactosidase | + | 3.2.1.22 | from API rID32A |
| 68380 | alpha-glucosidase | + | 3.2.1.20 | from API rID32A |
| 68380 | arginine dihydrolase | - | 3.5.3.6 | from API rID32A |
| 68380 | beta-galactosidase | + | 3.2.1.23 | from API rID32A |
| 68380 | beta-Galactosidase 6-phosphate | - | from API rID32A | |
| 68380 | beta-glucosidase | + | 3.2.1.21 | from API rID32A |
| 68380 | beta-glucuronidase | - | 3.2.1.31 | from API rID32A |
| 68380 | glutamate decarboxylase | - | 4.1.1.15 | from API rID32A |
| 68380 | glycin arylamidase | - | from API rID32A | |
| 68380 | histidine arylamidase | - | from API rID32A | |
| 68380 | L-arginine arylamidase | - | from API rID32A | |
| 68380 | leucine arylamidase | - | 3.4.11.1 | from API rID32A |
| 68380 | leucyl glycin arylamidase | + | 3.4.11.1 | from API rID32A |
| 68380 | N-acetyl-beta-glucosaminidase | - | 3.2.1.52 | from API rID32A |
| 68380 | phenylalanine arylamidase | - | from API rID32A | |
| 68380 | proline-arylamidase | - | 3.4.11.5 | from API rID32A |
| 68380 | pyrrolidonyl arylamidase | - | 3.4.19.3 | from API rID32A |
| 68380 | serine arylamidase | - | from API rID32A | |
| 68380 | tryptophan deaminase | - | 4.1.99.1 | from API rID32A |
| 68380 | tyrosine arylamidase | - | from API rID32A | |
| 68380 | urease | - | 3.5.1.5 | from API rID32A |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | C4 and CAM-carbon fixation | 100 | 8 of 8 | ||
| 66794 | glycogen metabolism | 100 | 5 of 5 | ||
| 66794 | ppGpp biosynthesis | 100 | 4 of 4 | ||
| 66794 | palmitate biosynthesis | 100 | 22 of 22 | ||
| 66794 | gluconeogenesis | 100 | 8 of 8 | ||
| 66794 | cis-vaccenate biosynthesis | 100 | 2 of 2 | ||
| 66794 | starch degradation | 100 | 10 of 10 | ||
| 66794 | coenzyme A metabolism | 100 | 4 of 4 | ||
| 66794 | sulfopterin metabolism | 100 | 4 of 4 | ||
| 66794 | CDP-diacylglycerol biosynthesis | 100 | 2 of 2 | ||
| 66794 | UDP-GlcNAc biosynthesis | 100 | 3 of 3 | ||
| 66794 | suberin monomers biosynthesis | 100 | 2 of 2 | ||
| 66794 | anapleurotic synthesis of oxalacetate | 100 | 1 of 1 | ||
| 66794 | folate polyglutamylation | 100 | 1 of 1 | ||
| 66794 | tetrahydrofolate metabolism | 92.86 | 13 of 14 | ||
| 66794 | d-mannose degradation | 88.89 | 8 of 9 | ||
| 66794 | valine metabolism | 88.89 | 8 of 9 | ||
| 66794 | chorismate metabolism | 88.89 | 8 of 9 | ||
| 66794 | NAD metabolism | 83.33 | 15 of 18 | ||
| 66794 | vitamin B6 metabolism | 81.82 | 9 of 11 | ||
| 66794 | lipoate biosynthesis | 80 | 4 of 5 | ||
| 66794 | vitamin K metabolism | 80 | 4 of 5 | ||
| 66794 | threonine metabolism | 80 | 8 of 10 | ||
| 66794 | peptidoglycan biosynthesis | 80 | 12 of 15 | ||
| 66794 | cellulose degradation | 80 | 4 of 5 | ||
| 66794 | photosynthesis | 78.57 | 11 of 14 | ||
| 66794 | aspartate and asparagine metabolism | 77.78 | 7 of 9 | ||
| 66794 | lipid A biosynthesis | 77.78 | 7 of 9 | ||
| 66794 | vitamin B1 metabolism | 76.92 | 10 of 13 | ||
| 66794 | acetate fermentation | 75 | 3 of 4 | ||
| 66794 | glycogen biosynthesis | 75 | 3 of 4 | ||
| 66794 | CMP-KDO biosynthesis | 75 | 3 of 4 | ||
| 66794 | isoleucine metabolism | 75 | 6 of 8 | ||
| 66794 | flavin biosynthesis | 73.33 | 11 of 15 | ||
| 66794 | cardiolipin biosynthesis | 71.43 | 5 of 7 | ||
| 66794 | ubiquinone biosynthesis | 71.43 | 5 of 7 | ||
| 66794 | pyrimidine metabolism | 71.11 | 32 of 45 | ||
| 66794 | glycolysis | 70.59 | 12 of 17 | ||
| 66794 | purine metabolism | 70.21 | 66 of 94 | ||
| 66794 | Entner Doudoroff pathway | 70 | 7 of 10 | ||
| 66794 | phenylalanine metabolism | 69.23 | 9 of 13 | ||
| 66794 | octane oxidation | 66.67 | 2 of 3 | ||
| 66794 | acetoin degradation | 66.67 | 2 of 3 | ||
| 66794 | cyanate degradation | 66.67 | 2 of 3 | ||
| 66794 | formaldehyde oxidation | 66.67 | 2 of 3 | ||
| 66794 | serine metabolism | 66.67 | 6 of 9 | ||
| 66794 | d-xylose degradation | 63.64 | 7 of 11 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 62.5 | 5 of 8 | ||
| 66794 | dTDPLrhamnose biosynthesis | 62.5 | 5 of 8 | ||
| 66794 | propionate fermentation | 60 | 6 of 10 | ||
| 66794 | methylglyoxal degradation | 60 | 3 of 5 | ||
| 66794 | myo-inositol biosynthesis | 60 | 6 of 10 | ||
| 66794 | hydrogen production | 60 | 3 of 5 | ||
| 66794 | lipid metabolism | 58.06 | 18 of 31 | ||
| 66794 | isoprenoid biosynthesis | 57.69 | 15 of 26 | ||
| 66794 | glutamate and glutamine metabolism | 57.14 | 16 of 28 | ||
| 66794 | citric acid cycle | 57.14 | 8 of 14 | ||
| 66794 | CO2 fixation in Crenarchaeota | 55.56 | 5 of 9 | ||
| 66794 | degradation of hexoses | 55.56 | 10 of 18 | ||
| 66794 | pentose phosphate pathway | 54.55 | 6 of 11 | ||
| 66794 | methionine metabolism | 53.85 | 14 of 26 | ||
| 66794 | leucine metabolism | 53.85 | 7 of 13 | ||
| 66794 | histidine metabolism | 51.72 | 15 of 29 | ||
| 66794 | alanine metabolism | 51.72 | 15 of 29 | ||
| 66794 | ethanol fermentation | 50 | 1 of 2 | ||
| 66794 | kanosamine biosynthesis II | 50 | 1 of 2 | ||
| 66794 | aminopropanol phosphate biosynthesis | 50 | 1 of 2 | ||
| 66794 | pantothenate biosynthesis | 50 | 3 of 6 | ||
| 66794 | adipate degradation | 50 | 1 of 2 | ||
| 66794 | biotin biosynthesis | 50 | 2 of 4 | ||
| 66794 | glycolate and glyoxylate degradation | 50 | 3 of 6 | ||
| 66794 | non-pathway related | 50 | 19 of 38 | ||
| 66794 | degradation of aromatic, nitrogen containing compounds | 50 | 6 of 12 | ||
| 66794 | mannosylglycerate biosynthesis | 50 | 1 of 2 | ||
| 66794 | butanoate fermentation | 50 | 2 of 4 | ||
| 66794 | phenylmercury acetate degradation | 50 | 1 of 2 | ||
| 66794 | degradation of sugar acids | 48 | 12 of 25 | ||
| 66794 | lysine metabolism | 47.62 | 20 of 42 | ||
| 66794 | degradation of pentoses | 46.43 | 13 of 28 | ||
| 66794 | cysteine metabolism | 44.44 | 8 of 18 | ||
| 66794 | reductive acetyl coenzyme A pathway | 42.86 | 3 of 7 | ||
| 66794 | tyrosine metabolism | 42.86 | 6 of 14 | ||
| 66794 | propanol degradation | 42.86 | 3 of 7 | ||
| 66794 | tryptophan metabolism | 42.11 | 16 of 38 | ||
| 66794 | arginine metabolism | 41.67 | 10 of 24 | ||
| 66794 | O-antigen biosynthesis | 40 | 2 of 5 | ||
| 66794 | coenzyme M biosynthesis | 40 | 4 of 10 | ||
| 66794 | arachidonate biosynthesis | 40 | 2 of 5 | ||
| 66794 | polyamine pathway | 39.13 | 9 of 23 | ||
| 66794 | sulfate reduction | 38.46 | 5 of 13 | ||
| 66794 | phenylpropanoid biosynthesis | 38.46 | 5 of 13 | ||
| 66794 | oxidative phosphorylation | 38.46 | 35 of 91 | ||
| 66794 | ketogluconate metabolism | 37.5 | 3 of 8 | ||
| 66794 | metabolism of disaccharids | 36.36 | 4 of 11 | ||
| 66794 | proline metabolism | 36.36 | 4 of 11 | ||
| 66794 | enterobactin biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | L-lactaldehyde degradation | 33.33 | 1 of 3 | ||
| 66794 | IAA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | acetyl CoA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | selenocysteine biosynthesis | 33.33 | 2 of 6 | ||
| 66794 | nitrate assimilation | 33.33 | 3 of 9 | ||
| 66794 | molybdenum cofactor biosynthesis | 33.33 | 3 of 9 | ||
| 66794 | ascorbate metabolism | 31.82 | 7 of 22 | ||
| 66794 | degradation of sugar alcohols | 31.25 | 5 of 16 | ||
| 66794 | urea cycle | 30.77 | 4 of 13 | ||
| 66794 | glycine metabolism | 30 | 3 of 10 | ||
| 66794 | vitamin B12 metabolism | 29.41 | 10 of 34 | ||
| 66794 | arachidonic acid metabolism | 27.78 | 5 of 18 | ||
| 66794 | lactate fermentation | 25 | 1 of 4 | ||
| 66794 | cyclohexanol degradation | 25 | 1 of 4 | ||
| 66794 | toluene degradation | 25 | 1 of 4 | ||
| 66794 | vitamin E metabolism | 25 | 1 of 4 | ||
| 66794 | phosphatidylethanolamine bioynthesis | 23.08 | 3 of 13 | ||
| 66794 | glutathione metabolism | 21.43 | 3 of 14 |
| @ref | URE | ADH (Arg) | alpha GAL | beta GAL | beta-Galactosidase 6-phosphatebeta GP | alpha GLU | beta GLU | alpha ARA | beta GUR | beta-N-Acetyl-beta-glucosaminidasebeta NAG | MNE | RAF | GDC | alpha FUC | Reduction of nitrateNIT | IND | PAL | L-arginine arylamidaseArgA | ProA | LGA | Phenylalanine arylamidasePheA | Leucine arylamidaseLeuA | PyrA | Tyrosine arylamidaseTyrA | Alanine arylamidaseAlaA | Glycin arylamidaseGlyA | Histidine arylamidaseHisA | Glutamyl-glutamate arylamidaseGGA | Serine arylamidaseSerA | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 7845 | - | - | + | + | - | + | + | + | - | - | + | + | - | - | - | - | + | - | - | + | - | - | - | - | + | - | - | +/- | - | |
| 7845 | - | - | + | + | - | + | + | + | - | - | - | - | - | - | - | - | + | - | - | + | - | - | - | - | + | - | - | +/- | - |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Infection | #Inflammation | - | |
| #Host Body-Site | #Oral cavity and airways | #Gingiva |
Global distribution of 16S sequence AB547675 (>99% sequence identity) for Prevotella buccae subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 67770 | ASM18494v1 assembly for Segatella buccae ATCC 33574 | scaffold | 873513 | 65.03 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 20218 | Prevotella buccae gene for 16S ribosomal RNA, partial sequence, strain: JCM 12245 | AB547675 | 1480 | 873513 | ||
| 20218 | Prevotella buccae genes for 16S rRNA, ITS, 23S rRNA, strain: ATCC 33574 | AB547909 | 863 | 873513 | ||
| 7845 | Prevotella buccae ATCC 33574 16S ribosomal RNA gene, partial sequence | L16477 | 1473 | 873513 | ||
| 7845 | Segatella buccae ATCC 33574 16S ribosomal RNA, partial sequence | NR_044631 | 1473 | 873513 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 100.00 | no |
| 125439 | motility | BacteriaNetⓘ | no | 72.50 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 99.20 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | anaerobe | 99.40 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 94.36 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 94.53 | yes |
| 125438 | aerobic | aerobicⓘ | no | 95.44 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 92.97 | no |
| 125438 | thermophilic | thermophileⓘ | no | 94.08 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 88.00 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Laser-assisted microbial culturomics. | Qu T, Koch L, Mukherjee R, Tu Y, Seidel AL, Puttmann LD, Winkel A, Yang I, Grischke J, Liu D, Wolkers WF, Kittler S, Chichkov B, Stiesch M, Szafranski SP. | Nat Commun | 10.1038/s41467-025-66804-7 | 2025 | ||
| Mediastinitis after endobronchial ultrasound with transbronchial needle aspiration resulting in postpneumonectomy empyema. | Robinson NL, Watkins RD, Tapias LF. | JTCVS Tech | 10.1016/j.xjtc.2024.03.012 | 2024 | ||
| Genetics | Temporal dynamics and species-level complexity of Prevotella spp. in the human gut microbiota: implications for enterotypes and health. | Han N, Peng X, Zhang T, Qiang Y, Li X, Zhang W. | Front Microbiol | 10.3389/fmicb.2024.1414000 | 2024 | |
| The molecular basis of cereal mixed-linkage beta-glucan utilization by the human gut bacterium Segatella copri. | Golisch B, Cordeiro RL, Fraser ASC, Briggs J, Stewart WA, Van Petegem F, Brumer H. | J Biol Chem | 10.1016/j.jbc.2024.107625 | 2024 | ||
| Pathogenicity | An electron microscope survey of the surface structures and hydrophobicity of oral and non-oral species of the bacterial genus Bacteroides. | Handley PS, Tipler LS | Arch Oral Biol | 10.1016/0003-9969(86)90047-6 | 1986 | |
| Phylogeny | Prevotella koreensis sp. nov., Isolated from Human Subgingival Dental Plaque of Periodontitis Lesion. | Park SN, Lim YK, Shin JH, Jo E, Chang YH, Shin Y, Paek J, Ji S, Kim H, Kook JK | Curr Microbiol | 10.1007/s00284-019-01720-w | 2019 |
| #7845 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 19025 |
| #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 ) |
| #46241 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 15401 |
| #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; |
| #68380 | Automatically annotated from API rID32A . |
| #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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If you want to cite this particular strain cite the following doi:
https://doi.org/10.13145/bacdive12526.20251217.10
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data