Alcanivorax gelatiniphagus JCM 18425 is a mesophilic prokaryote that was isolated from Tidal flat sediments, near the Hebei Spirit tanker oil spill accident.
mesophilic genome sequence 16S sequence| @ref 20215 |
|
|
| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Gammaproteobacteria |
| Order Oceanospirillales |
| Family Alcanivoracaceae |
| Genus Alcanivorax |
| Species Alcanivorax gelatiniphagus |
| Full scientific name Alcanivorax gelatiniphagus Kwon et al. 2015 |
| Synonyms (1) |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 67770 | positive | growth | 37 | mesophilic |
| @ref | Sample type | Host species | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|---|
| 67770 | Tidal flat sediments, near the Hebei Spirit tanker oil spill accident | Hebei Spirit | Taean County | Republic of Korea | KOR | Asia |
Global distribution of 16S sequence JQ937289 (>99% sequence identity) for Alcanivorax from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 124043 | ASM593865v1 assembly for Alloalcanivorax gelatiniphagus MEBiC 08158 | contig | 1194167 | 68.03 | ||||
| 124043 | ASM3954368v1 assembly for Alloalcanivorax gelatiniphagus JCM 18425 | scaffold | 1194167 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 67770 | Alloalcanivorax gelatiniphagus strain MEBiC08158 16S ribosomal RNA gene, partial sequence | JQ937289 | 1452 | 1194167 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 67770 | 65.2 | genome sequence analysis |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate anaerobe | 59.90 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 90.10 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 78.50 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 91.30 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 98.00 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 93.89 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 94.00 | no |
| 125438 | aerobic | aerobicⓘ | yes | 82.33 | no |
| 125438 | thermophilic | thermophileⓘ | no | 96.47 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 89.40 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Alcanivorax gelatiniphagus sp. nov., a marine bacterium isolated from tidal flat sediments enriched with crude oil. | Kyoung Kwon K, Hye Oh J, Yang SH, Seo HS, Lee JH | Int J Syst Evol Microbiol | 10.1099/ijs.0.000244 | 2015 |
| #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; |
| #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 . |
| #124043 | Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy . |
| #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 ) |
You found an error in BacDive? Please tell us about it!
Note that changes will be reviewed and judged. If your changes are legitimate, changes will occur within the next BacDive update. Only proposed changes supported by the according reference will be reviewed. The BacDive team reserves the right to reject proposed changes.
Successfully sent
If you want to cite this particular strain cite the following doi:
https://doi.org/10.13145/bacdive162243.20251217.10
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data