Strain identifier
BacDive ID: 161516
Type strain: ![]()
Species: Flavobacterium sp.
Strain history: K. Minamisawa B17.
NCBI tax ID(s): 239 (species)
version 9.3 (current version)
General
@ref: 67770
BacDive-ID: 161516
keywords: genome sequence, 16S sequence, Bacteria, mesophilic
description: Flavobacterium sp. JCM 14677 is a mesophilic bacterium that was isolated from Stem of wild rice, Oryza alta W0017.
NCBI tax id
- NCBI tax id: 239
- Matching level: species
strain history
- @ref: 67770
- history: K. Minamisawa B17.
doi: 10.13145/bacdive161516.20250331.9.3
Name and taxonomic classification
LPSN
- @ref: 20215
- description: domain/bacteria
- keyword: phylum/bacteroidota
- domain: Bacteria
- phylum: Bacteroidota
- class: Flavobacteriia
- order: Flavobacteriales
- family: Flavobacteriaceae
- genus: Flavobacterium
- species: Flavobacterium sp.
- full scientific name: Flavobacterium Bergey et al. 1923 (Approved Lists 1980)
@ref: 67770
domain: Bacteria
phylum: Bacteroidetes
class: Flavobacteriia
order: Flavobacteriales
family: Flavobacteriaceae
genus: Flavobacterium
species: Flavobacterium sp.
full scientific name: Flavobacterium sp.
type strain: no
Morphology
cell morphology
| @ref | motility | confidence | gram stain |
|---|---|---|---|
| 125438 | no | 91.5 | |
| 125438 | 98.5 | negative |
Culture and growth conditions
culture temp
- @ref: 67770
- growth: positive
- type: growth
- temperature: 30
Physiology and metabolism
oxygen tolerance
- @ref: 125439
- oxygen tolerance: obligate aerobe
- confidence: 93
spore formation
- @ref: 125439
- spore formation: no
- confidence: 91.3
Isolation, sampling and environmental information
isolation
- @ref: 67770
- sample type: Stem of wild rice, Oryza alta W0017
- host species: Oryza alta
Sequence information
16S sequences
- @ref: 67770
- description: Flavobacterium sp. B17 gene for 16S ribosomal RNA
- accession: AB027704
- length: 680
- database: nuccore
- NCBI tax ID: 95618
Genome sequences
- @ref: 67770
- description: Flavobacterium sp. B17
- accession: GCA_000333355
- assembly level: scaffold
- database: ncbi
- NCBI tax ID: 95618
Genome-based predictions
predictions
| @ref | model | trait | description | prediction | confidence | training_data |
|---|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positive | Positive reaction to Gram-staining | no | 98.5 | no |
| 125438 | anaerobic | anaerobic | Ability to grow under anoxygenic conditions (including facultative anaerobes) | no | 93.38 | no |
| 125438 | aerobic | aerobic | Ability to grow under oxygenic conditions (including facultative aerobes) | yes | 84.344 | no |
| 125438 | spore-forming | spore-forming | Ability to form endo- or exospores | no | 85.961 | no |
| 125438 | thermophile | thermophilic | Ability to grow at temperatures above or equal to 45°C | no | 95.759 | yes |
| 125438 | motile2+ | flagellated | Ability to perform flagellated movement | no | 91.5 | no |
| 125439 | BacteriaNet | spore_formation | Ability to form endo- or exospores | no | 91.3 | |
| 125439 | BacteriaNet | motility | Ability to perform movement | no | 73.3 | |
| 125439 | BacteriaNet | gram_stain | Reaction to gram-staining | negative | 78.1 | |
| 125439 | BacteriaNet | oxygen_tolerance | Oxygenic conditions needed for growth | obligate aerobe | 93 |
External links
@ref: 67770
culture collection no.: JCM 14677
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 |
| 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 |