Shewanella electrodiphila DSM 24955 is a bacterium that was isolated from deep-sea sediment.
genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Gammaproteobacteria |
| Order Alteromonadales |
| Family Shewanellaceae |
| Genus Shewanella |
| Species Shewanella electrodiphila |
| Full scientific name Shewanella electrodiphila Zhang and Burgess 2015 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 22653 | 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) | |
|---|---|---|---|---|
| 22653 | positive | growth | 15 |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | Latitude | Longitude | |
|---|---|---|---|---|---|---|---|---|
| 22653 | deep-sea sediment | Mid-Atlantic Ridge, south-east of the Charlie-Gibb Fracture Zone (49° 05.40' N 27° 50.22' W) at a depth of of 2734 m | United Kingdom | GBR | Europe | 49.09 | -27.837 49.09/-27.837 |
Global distribution of 16S sequence FR744784 (>99% sequence identity) for Shewanella electrodiphila from Microbeatlas ![]()
| @ref | Biosafety level | Biosafety level comment | |
|---|---|---|---|
| 22653 | 1 | Risk group (German classification) |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM2328398v1 assembly for Shewanella electrodiphila DSM 24955 | contig | 934143 | 67.79 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 22653 | 42.4 | thermal denaturation, midpoint method (Tm) |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 98.00 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 82.19 | no |
| 125438 | aerobic | aerobicⓘ | yes | 51.94 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 86.59 | no |
| 125438 | thermophilic | thermophileⓘ | no | 99.00 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 84.03 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Metabolism | Enhanced eicosapentaenoic acid production by a new deep-sea marine bacterium Shewanella electrodiphila MAR441T. | Zhang J, Burgess JG | PLoS One | 10.1371/journal.pone.0188081 | 2017 | |
| Phylogeny | Shewanella intestini sp. nov., isolated from the intestine of abalone, Haliotis diversicolor. | Gai Y, Huang Z, Lai Q, Shao Z | Int J Syst Evol Microbiol | 10.1099/ijsem.0.001878 | 2017 | |
| Phylogeny | Shewanella electrodiphila sp. nov., a psychrotolerant bacterium isolated from Mid-Atlantic Ridge deep-sea sediments. | Zhang J, Burgess JG | Int J Syst Evol Microbiol | 10.1099/ijs.0.000345 | 2015 | |
| Phylogeny | Shewanella dovemarinesis sp. nov., a psychrotolerant bacterium isolated from Mid-Atlantic Ridge deep-sea sediments. | Zhang J, Burgess JG | Int J Syst Evol Microbiol | 10.1099/ijs.0.057125-0 | 2014 |
| #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 ) |
| #22653 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 24955 |
| #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 . |
| #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 ) |
| #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/bacdive131426.20260601.11
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