Veillonella rodentium HV 19 is an anaerobe bacterium that was isolated from hamster mouth.
anaerobe genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Bacillota |
| Class Negativicutes |
| Order Veillonellales |
| Family Veillonellaceae |
| Genus Veillonella |
| Species Veillonella rodentium |
| Full scientific name Veillonella rodentium (Rogosa 1965) Mays et al. 1982 |
| Synonyms (1) |
| @ref | Gram stain | Confidence | |
|---|---|---|---|
| 125438 | negative | 90.634 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 9047 | VEILLONELLA MEDIUM (DSMZ Medium 136) | Medium recipe at MediaDive | Name: VEILLONELLA MEDIUM (DSMZ Medium 136) Composition: Na-(DL)-lactate 7.5 g/l Trypticase 5.0 g/l Yeast extract 3.0 g/l Glucose 1.0 g/l Na-thioglycolate 0.75 g/l Putrescine 0.003 g/l Resazurin 0.001 g/l Tween 80 Distilled water |
| @ref | Growth | Type | Temperature (°C) | |
|---|---|---|---|---|
| 9047 | positive | growth | 37 |
| @ref | Spore formation | Confidence | |
|---|---|---|---|
| 125439 | 91.816 |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 68380 | 16024 ChEBI | D-mannose | - | fermentation | from API rID32A |
| 68380 | 29985 ChEBI | L-glutamate | - | degradation | from API rID32A |
| 68380 | 17632 ChEBI | nitrate | + | reduction | from API rID32A |
| 68380 | 16634 ChEBI | raffinose | - | fermentation | 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 | 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 | glutamyl-glutamate arylamidase | - | 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 | 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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9047 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | + | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |
| 9047 | - | + | - | - | - | - | - | - | - | - | - | - | - | - | + | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Host | #Mammals | #Rodentia (Other) | |
| #Host Body-Site | #Oral cavity and airways | #Mouth |
| 9047 | Sample typehamster mouth |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | 51342_C02 assembly for Veillonella rodentium NCTC12018 | complete | 248315 | 99.34 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 9047 | Veillonella rodentium 16S ribosomal RNA gene, partial sequence | AY514996 | 1307 | 248315 |
| 9047 | GC-content (mol%)42.0 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | anaerobe | 96.66 | no |
| 125439 | motility | BacteriaNetⓘ | no | 84.23 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 83.23 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 91.82 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 90.63 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 79.84 | yes |
| 125438 | aerobic | aerobicⓘ | no | 89.39 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 77.65 | no |
| 125438 | thermophilic | thermophileⓘ | no | 93.94 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 89.87 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Design and evaluation of useful bacterium-specific PCR primers that amplify genes coding for bacterial 16S rRNA. | Marchesi JR, Sato T, Weightman AJ, Martin TA, Fry JC, Hiom SJ, Dymock D, Wade WG. | Appl Environ Microbiol | 10.1128/aem.64.2.795-799.1998 | 1998 | ||
| Metabolism | Chemical analyses, local Shwartzman reactivity, and body weight-decreasing activity of aqueous-phenol extracts of Mycoplasma salivarium cells. Biological activities of Mycoplasma salivarium. | Totsuka M, Shibata K, Watanabe T | Antonie Van Leeuwenhoek | 10.1007/BF00422720 | 1990 | |
| Enzymology | Purification and characterization of bacteriophage receptor on Veillonella rodentium cells. Phage-receptor on Veillonella. | Totsuka M, Ono T | Antonie Van Leeuwenhoek | 10.1007/BF00418938 | 1989 | |
| Pathogenicity | Phage-receptor on the cell wall of Veillonella rodentium. | Totsuka M | Antonie Van Leeuwenhoek | 10.1007/BF00443581 | 1988 |
| #9047 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 20737 |
| #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 ) |
| #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) . |
| #68380 | Automatically annotated from API rID32A . |
| #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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