Vagococcus hydrophili or JCM 33683 is a bacterium of the family Enterococcaceae.
genome sequence 16S sequence Bacteria| @ref 20215 |
|
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| Domain Bacteria |
| Phylum Bacillota |
| Class Bacilli |
| Order Lactobacillales |
| Family Enterococcaceae |
| Genus Vagococcus |
| Species Vagococcus hydrophili |
| Full scientific name Vagococcus hydrophili Hyun et al. 2022 |
| @ref | Oxygen tolerance | Confidence | |
|---|---|---|---|
| 125439 | microaerophile | 95 |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM1130419v1 assembly for Vagococcus hydrophili HDW17B | complete | 2714947 | 93.25 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 20215 | Vagococcus hydrophili strain HDW17B 16S ribosomal RNA gene, partial sequence | MN099420 | 1483 | 2714947 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 63.70 | no |
| 125439 | motility | BacteriaNetⓘ | no | 58.10 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 80.90 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | microaerophile | 95.00 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 83.88 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 86.41 | no |
| 125438 | aerobic | aerobicⓘ | no | 87.95 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 64.40 | no |
| 125438 | thermophilic | thermophileⓘ | no | 95.00 | no |
| 125438 | flagellated | motile2+ⓘ | yes | 58.10 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Description of Vagococcus coleopterorum sp. nov., isolated from the intestine of the diving beetle, Cybister lewisianus, and Vagococcus hydrophili sp. nov., isolated from the intestine of the dark diving beetle, Hydrophilus acuminatus, and emended description of the genus Vagococcus. | Hyun DW, Tak EJ, Kim PS, Bae JW | J Microbiol | 10.1007/s12275-021-0485-1 | 2020 |
| #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) . |
| #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/bacdive166679.20251217.10
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BacDive in 2025: the core database for prokaryotic strain data