Prevotella oralis CCUG 15408 is an anaerobe human pathogen that was isolated from human peridontal pocket.
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 oralis |
| Full scientific name Prevotella oralis (Loesche et al. 1964) Shah and Collins 1990 |
| Synonyms (2) |
| BacDive ID | Other strains from Prevotella oralis (2) | Type strain |
|---|---|---|
| 156880 | P. oralis CCUG 66283 | |
| 156905 | P. oralis CCUG 66588 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 8780 | 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 | ||
| 8780 | 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 |
| @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-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-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 | cis-vaccenate biosynthesis | 100 | 2 of 2 | ||
| 66794 | CDP-diacylglycerol biosynthesis | 100 | 2 of 2 | ||
| 66794 | suberin monomers biosynthesis | 100 | 2 of 2 | ||
| 66794 | glycogen metabolism | 100 | 5 of 5 | ||
| 66794 | folate polyglutamylation | 100 | 1 of 1 | ||
| 66794 | anapleurotic synthesis of oxalacetate | 100 | 1 of 1 | ||
| 66794 | ppGpp biosynthesis | 100 | 4 of 4 | ||
| 66794 | vitamin K metabolism | 100 | 5 of 5 | ||
| 66794 | palmitate biosynthesis | 90.91 | 20 of 22 | ||
| 66794 | starch degradation | 90 | 9 of 10 | ||
| 66794 | chorismate metabolism | 88.89 | 8 of 9 | ||
| 66794 | lipid A biosynthesis | 88.89 | 8 of 9 | ||
| 66794 | d-mannose degradation | 88.89 | 8 of 9 | ||
| 66794 | gluconeogenesis | 87.5 | 7 of 8 | ||
| 66794 | NAD metabolism | 83.33 | 15 of 18 | ||
| 66794 | vitamin B6 metabolism | 81.82 | 9 of 11 | ||
| 66794 | flavin biosynthesis | 80 | 12 of 15 | ||
| 66794 | peptidoglycan biosynthesis | 80 | 12 of 15 | ||
| 66794 | photosynthesis | 78.57 | 11 of 14 | ||
| 66794 | tetrahydrofolate metabolism | 78.57 | 11 of 14 | ||
| 66794 | aspartate and asparagine metabolism | 77.78 | 7 of 9 | ||
| 66794 | valine metabolism | 77.78 | 7 of 9 | ||
| 66794 | CMP-KDO biosynthesis | 75 | 3 of 4 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 75 | 6 of 8 | ||
| 66794 | sulfopterin metabolism | 75 | 3 of 4 | ||
| 66794 | isoleucine metabolism | 75 | 6 of 8 | ||
| 66794 | glycogen biosynthesis | 75 | 3 of 4 | ||
| 66794 | acetate fermentation | 75 | 3 of 4 | ||
| 66794 | cardiolipin biosynthesis | 71.43 | 5 of 7 | ||
| 66794 | glycolysis | 70.59 | 12 of 17 | ||
| 66794 | purine metabolism | 70.21 | 66 of 94 | ||
| 66794 | threonine metabolism | 70 | 7 of 10 | ||
| 66794 | pyrimidine metabolism | 68.89 | 31 of 45 | ||
| 66794 | serine metabolism | 66.67 | 6 of 9 | ||
| 66794 | acetoin degradation | 66.67 | 2 of 3 | ||
| 66794 | dTDPLrhamnose biosynthesis | 62.5 | 5 of 8 | ||
| 66794 | vitamin B1 metabolism | 61.54 | 8 of 13 | ||
| 66794 | O-antigen biosynthesis | 60 | 3 of 5 | ||
| 66794 | lipoate biosynthesis | 60 | 3 of 5 | ||
| 66794 | hydrogen production | 60 | 3 of 5 | ||
| 66794 | phenylacetate degradation (aerobic) | 60 | 3 of 5 | ||
| 66794 | cellulose degradation | 60 | 3 of 5 | ||
| 66794 | CO2 fixation in Crenarchaeota | 55.56 | 5 of 9 | ||
| 66794 | d-xylose degradation | 54.55 | 6 of 11 | ||
| 66794 | phenylalanine metabolism | 53.85 | 7 of 13 | ||
| 66794 | isoprenoid biosynthesis | 53.85 | 14 of 26 | ||
| 66794 | glutamate and glutamine metabolism | 53.57 | 15 of 28 | ||
| 66794 | ketogluconate metabolism | 50 | 4 of 8 | ||
| 66794 | degradation of hexoses | 50 | 9 of 18 | ||
| 66794 | adipate degradation | 50 | 1 of 2 | ||
| 66794 | cysteine metabolism | 50 | 9 of 18 | ||
| 66794 | Entner Doudoroff pathway | 50 | 5 of 10 | ||
| 66794 | kanosamine biosynthesis II | 50 | 1 of 2 | ||
| 66794 | glycolate and glyoxylate degradation | 50 | 3 of 6 | ||
| 66794 | phenylmercury acetate degradation | 50 | 1 of 2 | ||
| 66794 | lactate fermentation | 50 | 2 of 4 | ||
| 66794 | butanoate fermentation | 50 | 2 of 4 | ||
| 66794 | ethanol fermentation | 50 | 1 of 2 | ||
| 66794 | coenzyme A metabolism | 50 | 2 of 4 | ||
| 66794 | histidine metabolism | 48.28 | 14 of 29 | ||
| 66794 | alanine metabolism | 48.28 | 14 of 29 | ||
| 66794 | methionine metabolism | 46.15 | 12 of 26 | ||
| 66794 | leucine metabolism | 46.15 | 6 of 13 | ||
| 66794 | metabolism of disaccharids | 45.45 | 5 of 11 | ||
| 66794 | lipid metabolism | 45.16 | 14 of 31 | ||
| 66794 | oxidative phosphorylation | 43.96 | 40 of 91 | ||
| 66794 | polyamine pathway | 43.48 | 10 of 23 | ||
| 66794 | reductive acetyl coenzyme A pathway | 42.86 | 3 of 7 | ||
| 66794 | lysine metabolism | 42.86 | 18 of 42 | ||
| 66794 | tryptophan metabolism | 42.11 | 16 of 38 | ||
| 66794 | degradation of aromatic, nitrogen containing compounds | 41.67 | 5 of 12 | ||
| 66794 | arginine metabolism | 41.67 | 10 of 24 | ||
| 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 | propionate fermentation | 40 | 4 of 10 | ||
| 66794 | degradation of sugar acids | 40 | 10 of 25 | ||
| 66794 | coenzyme M biosynthesis | 40 | 4 of 10 | ||
| 66794 | arachidonate biosynthesis | 40 | 2 of 5 | ||
| 66794 | phosphatidylethanolamine bioynthesis | 38.46 | 5 of 13 | ||
| 66794 | non-pathway related | 36.84 | 14 of 38 | ||
| 66794 | pentose phosphate pathway | 36.36 | 4 of 11 | ||
| 66794 | citric acid cycle | 35.71 | 5 of 14 | ||
| 66794 | tyrosine metabolism | 35.71 | 5 of 14 | ||
| 66794 | vitamin B12 metabolism | 35.29 | 12 of 34 | ||
| 66794 | UDP-GlcNAc biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | formaldehyde oxidation | 33.33 | 1 of 3 | ||
| 66794 | acetyl CoA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | L-lactaldehyde degradation | 33.33 | 1 of 3 | ||
| 66794 | octane oxidation | 33.33 | 1 of 3 | ||
| 66794 | IAA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | enterobactin biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | selenocysteine biosynthesis | 33.33 | 2 of 6 | ||
| 66794 | sulfate reduction | 30.77 | 4 of 13 | ||
| 66794 | urea cycle | 30.77 | 4 of 13 | ||
| 66794 | glycine metabolism | 30 | 3 of 10 | ||
| 66794 | myo-inositol biosynthesis | 30 | 3 of 10 | ||
| 66794 | ubiquinone biosynthesis | 28.57 | 2 of 7 | ||
| 66794 | cyclohexanol degradation | 25 | 1 of 4 | ||
| 66794 | biotin biosynthesis | 25 | 1 of 4 | ||
| 66794 | degradation of sugar alcohols | 25 | 4 of 16 | ||
| 66794 | toluene degradation | 25 | 1 of 4 | ||
| 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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 8780 | - | - | + | + | - | + | +/- | - | - | + | - | - | - | - | - | - | + | - | - | + | - | - | - | - | + | - | - | +/- | - | |
| 8780 | - | - | + | + | - | + | + | - | - | + | + | + | - | + | - | - | + | - | - | + | - | - | - | - | + | - | - | - | - |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Host | #Human | - | |
| #Host Body-Site | #Oral cavity and airways | #Periodontal pocket |
Global distribution of 16S sequence AY323522 (>99% sequence identity) for Prevotella oralis subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 67770 | ASM18514v2 assembly for Hoylesella oralis ATCC 33269 | scaffold | 873533 | 78.04 | ||||
| 67770 | IMG-taxon 2695421016 annotated assembly for Hoylesella oralis DSM 20702 | contig | 28134 | 76.08 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 20218 | Prevotella oralis 16S ribosomal RNA gene, partial sequence | AY323522 | 1510 | 873533 | ||
| 20218 | Prevotella oralis gene for 16S ribosomal RNA, partial sequence, strain: JCM 12251 | AB547698 | 1496 | 873533 | ||
| 8780 | Prevotella oralis ATCC 33269) 16S ribosomal RNA gene, complete sequence | L16480 | 1481 | 28134 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | facultative anaerobe | 90.81 | no |
| 125439 | motility | BacteriaNetⓘ | no | 79.97 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 95.17 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 99.97 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 93.29 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 92.70 | yes |
| 125438 | aerobic | aerobicⓘ | no | 95.29 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 91.09 | no |
| 125438 | thermophilic | thermophileⓘ | no | 95.88 | no |
| 125438 | flagellated | motile2+ⓘ | no | 90.00 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Changes in Gut Microbiota According to Disease Severity in a Lupus Mouse Model. | Han EJ, Ahn JS, Choi YJ, Kim DH, Chung HJ. | Int J Mol Sci | 10.3390/ijms26031006 | 2025 | ||
| 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 |
| #8780 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 20702 |
| #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 ) |
| #46247 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 15408 |
| #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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