Budvicia aquatica JCM 3902 is a mesophilic prokaryote of the family Budviciaceae.
mesophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Pseudomonadati |
| Phylum Pseudomonadota |
| Class Gammaproteobacteria |
| Order Enterobacterales |
| Family Budviciaceae |
| Genus Budvicia |
| Species Budvicia aquatica |
| Full scientific name Budvicia aquatica Bouvet et al. 1985 |
| Synonyms (1) |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 67770 | positive | growth | 30 | mesophilic |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|
| 66792 | ASM2434353v1 assembly for Budvicia aquatica JCM 3902 | contig | 82979 | 64.56 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 67770 | Budvicia aquatica JCM 3902 gene for 16S ribosomal RNA, partial sequence | LC420096 | 1465 | 82979 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 99.30 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 80.80 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 99.70 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 95.10 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 97.94 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 89.37 | no |
| 125438 | aerobic | aerobicⓘ | no | 66.99 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 85.36 | no |
| 125438 | thermophilic | thermophileⓘ | no | 98.28 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 52.86 | no |
| #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) . |
| #67770 | Japan Collection of Microorganism (JCM) ; Curators of the JCM; |
| #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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https://doi.org/10.13145/bacdive164865.20251217.10
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BacDive in 2025: the core database for prokaryotic strain data