Photobacterium sanguinicancri Mj110 is a bacterium that was isolated from hemolymph of healthy spider crab .
genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Gammaproteobacteria |
| Order "Vibrionales" |
| Family Vibrionaceae |
| Genus Photobacterium |
| Species Photobacterium sanguinicancri |
| Full scientific name Photobacterium sanguinicancri Gomez-Gil et al. 2016 |
| BacDive ID | Other strains from Photobacterium sanguinicancri (1) | Type strain |
|---|---|---|
| 132600 | P. sanguinicancri Mj139, DSM 24667, CAIM 1828 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 24390 | BACTO MARINE BROTH (DIFCO 2216) (DSMZ Medium 514) | Medium recipe at MediaDive | Name: BACTO MARINE BROTH (DIFCO 2216) (DSMZ Medium 514) Composition: NaCl 19.45 g/l MgCl2 5.9 g/l Bacto peptone 5.0 g/l Na2SO4 3.24 g/l CaCl2 1.8 g/l Yeast extract 1.0 g/l KCl 0.55 g/l NaHCO3 0.16 g/l Fe(III) citrate 0.1 g/l KBr 0.08 g/l SrCl2 0.034 g/l H3BO3 0.022 g/l Na2HPO4 0.008 g/l Na-silicate 0.004 g/l NaF 0.0024 g/l (NH4)NO3 0.0016 g/l Distilled water |
| @ref | Growth | Type | Temperature (°C) | |
|---|---|---|---|---|
| 24390 | positive | growth | 25 |
| @ref | Sample type | Host species | Geographic location | Country | Country ISO 3 Code | Continent | Latitude | Longitude | |
|---|---|---|---|---|---|---|---|---|---|
| 24390 | hemolymph of healthy spider crab (Maja brachydactyla) | Maja brachydactyla | Galicia, Ría A Coruña at 20 m depth | Spain | ESP | Europe | 43.35 | -8.3667 43.35/-8.3667 |
Global distribution of 16S sequence GQ454928 (>99% sequence identity) for Photobacterium from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM2434667v1 assembly for Photobacterium sanguinicancri CECT 7579 | complete | 875932 | 96.44 | ||||
| 66792 | ASM226526v1 assembly for Photobacterium sanguinicancri CAIM 1827 | scaffold | 875932 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 24390 | Photobacterium sanguinicancri strain Mj110 16S ribosomal RNA gene, partial sequence | GQ454928 | 1475 | 875932 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 24390 | 43.9 | sequence analysis |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 96.50 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 68.20 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 93.80 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 93.60 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 99.50 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 97.40 | no |
| 125438 | aerobic | aerobicⓘ | no | 66.83 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 85.83 | no |
| 125438 | thermophilic | thermophileⓘ | no | 98.50 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 87.40 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Photobacterium sanguinicancri sp. nov. isolated from marine animals. | Gomez-Gil B, Roque A, Rotllant G, Romalde JL, Doce A, Eggermont M, Defoirdt T | Antonie Van Leeuwenhoek | 10.1007/s10482-016-0681-x | 2016 |
| #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 ) |
| #24390 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 24670 |
| #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) . |
| #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 . |
| #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/bacdive132601.20251217.10
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BacDive in 2025: the core database for prokaryotic strain data