Strain identifier
BacDive ID: 162390
Type strain: ![]()
Species: Shewanella sp.
Strain history: T. Kudo Y44.
NCBI tax ID(s): 1460651 (species)
version 9.3 (current version)
General
@ref: 67770
BacDive-ID: 162390
keywords: genome sequence, Bacteria, mesophilic, Gram-negative
description: Shewanella sp. JCM 19057 is a mesophilic, Gram-negative bacterium of the family Shewanellaceae.
NCBI tax id
- NCBI tax id: 1460651
- Matching level: species
strain history
- @ref: 67770
- history: T. Kudo Y44.
doi: 10.13145/bacdive162390.20250331.9.3
Name and taxonomic classification
LPSN
- @ref: 20215
- description: domain/bacteria
- keyword: phylum/pseudomonadota
- domain: Bacteria
- phylum: Pseudomonadota
- class: Gammaproteobacteria
- order: Alteromonadales
- family: Shewanellaceae
- genus: Shewanella
- species: Shewanella sp.
- full scientific name: Shewanella MacDonell and Colwell 1986
@ref: 67770
domain: Bacteria
phylum: Proteobacteria
class: Gammaproteobacteria
order: Alteromonadales
family: Shewanellaceae
genus: Shewanella
species: Shewanella sp.
full scientific name: Shewanella sp.
type strain: no
Morphology
cell morphology
| @ref | gram stain | confidence |
|---|---|---|
| 125438 | negative | 99.5 |
| 125439 | negative | 100 |
Culture and growth conditions
culture temp
- @ref: 67770
- growth: positive
- type: growth
- temperature: 30
Physiology and metabolism
spore formation
- @ref: 125439
- spore formation: no
- confidence: 99.9
Sequence information
Genome sequences
| @ref | description | accession | assembly level | database | NCBI tax ID |
|---|---|---|---|---|---|
| 66792 | Shewanella sp. JCM 19057 | GCA_001310535 | contig | ncbi | 1460651 |
| 66792 | Shewanella sp. JCM 19057 | 1460651.3 | wgs | patric | 1460651 |
| 66792 | Shewanella sp. JCM 19057 | 2681813037 | draft | img | 1460651 |
Genome-based predictions
predictions
| @ref | model | trait | description | prediction | confidence | training_data |
|---|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positive | Positive reaction to Gram-staining | no | 99.5 | no |
| 125438 | anaerobic | anaerobic | Ability to grow under anoxygenic conditions (including facultative anaerobes) | no | 92.434 | no |
| 125438 | spore-forming | spore-forming | Ability to form endo- or exospores | no | 89.698 | no |
| 125438 | aerobic | aerobic | Ability to grow under oxygenic conditions (including facultative aerobes) | yes | 57.353 | no |
| 125438 | thermophile | thermophilic | Ability to grow at temperatures above or equal to 45°C | no | 97.99 | yes |
| 125438 | motile2+ | flagellated | Ability to perform flagellated movement | yes | 86.684 | no |
| 125439 | BacteriaNet | spore_formation | Ability to form endo- or exospores | no | 99.9 | |
| 125439 | BacteriaNet | motility | Ability to perform movement | yes | 83.7 | |
| 125439 | BacteriaNet | gram_stain | Reaction to gram-staining | negative | 100 | |
| 125439 | BacteriaNet | oxygen_tolerance | Oxygenic conditions needed for growth | facultative aerobe | 57 |
External links
@ref: 67770
culture collection no.: JCM 19057
Reference
| @id | authors | title | doi/url |
|---|---|---|---|
| 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 | 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) | https://diaspora-project.de/progress.html#genomes |
| 67770 | Curators of the JCM | https://jcm.brc.riken.jp/en/ | |
| 125438 | Julia Koblitz, Lorenz Christian Reimer, Rüdiger Pukall, Jörg Overmann | Predicting bacterial phenotypic traits through improved machine learning using high-quality, curated datasets | 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 | https://github.com/GenomeNet/deepG |