Vibrio maritimus JCM 19240 is a bacterium of the family Vibrionaceae.
genome sequence Bacteria| @ref 20215 |
|
|
| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Gammaproteobacteria |
| Order "Vibrionales" |
| Family Vibrionaceae |
| Genus Vibrio |
| Species Vibrio maritimus |
| Full scientific name Vibrio maritimus Chimetto et al. 2011 |
| BacDive ID | Other strains from Vibrio maritimus (1) | Type strain |
|---|---|---|
| 17362 | V. maritimus R-40493, DSM 26148, CAIM 1455, LMG 25439 (type strain) |
| @ref | Growth | Type | Temperature (°C) | |
|---|---|---|---|---|
| 67770 | positive | growth | 25 |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 67770 | ASM75542v1 assembly for Vibrio maritimus JCM 19240 | contig | 990268 | 18.88 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 96.10 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 80.90 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 99.20 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 99.70 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 100.00 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 95.02 | no |
| 125438 | aerobic | aerobicⓘ | no | 55.19 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 88.11 | no |
| 125438 | thermophilic | thermophileⓘ | no | 99.00 | no |
| 125438 | flagellated | motile2+ⓘ | yes | 88.11 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | The fur gene as a new phylogenetic marker for Vibrionaceae species identification. | Machado H, Gram L. | Appl Environ Microbiol | 10.1128/aem.00058-15 | 2015 | |
| Genetics | Description and Genome-Based Analysis of Vibrio chaetopteri sp. nov., a New Species of the Mediterranei Clade Isolated from a Marine Polychaete. | Kurilenko V, Bystritskaya E, Otstavnykh N, Velansky P, Lichmanuk D, Savicheva Y, Romanenko L, Isaeva M. | Microorganisms | 10.3390/microorganisms13030638 | 2025 |
| #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 ) |
| #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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If you want to cite this particular strain cite the following doi:
https://doi.org/10.13145/bacdive162444.20251217.10
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data