Strain identifier
BacDive ID: 164289
Type strain: 
Species: Eubacterium sp.
Strain history: M. Kuroda; Natl. Inst. of Infect. Dis., Japan; Choco86.
NCBI tax ID(s): 142586 (species)
version 9.3 (current version)
General
@ref: 67770
BacDive-ID: 164289
keywords: genome sequence, Bacteria, anaerobe, mesophilic
description: Eubacterium sp. JCM 32527 is an anaerobe, mesophilic bacterium that was isolated from Fecal sample of a healthy Japanese adult.
NCBI tax id
- NCBI tax id: 142586
- Matching level: species
strain history
- @ref: 67770
- history: M. Kuroda; Natl. Inst. of Infect. Dis., Japan; Choco86.
doi: 10.13145/bacdive164289.20250331.9.3
Name and taxonomic classification
LPSN
- @ref: 20215
- description: domain/bacteria
- keyword: phylum/bacillota
- domain: Bacteria
- phylum: Bacillota
- class: Clostridia
- order: Eubacteriales
- family: Eubacteriaceae
- genus: Eubacterium
- species: Eubacterium sp.
- full scientific name: Eubacterium Prévot 1938 (Approved Lists 1980)
@ref: 67770
domain: Bacteria
phylum: Firmicutes
class: Clostridia
order: Eubacteriales
family: Eubacteriaceae
genus: Eubacterium
species: Eubacterium sp.
full scientific name: Eubacterium sp.
type strain: no
Culture and growth conditions
culture temp
- @ref: 67770
- growth: positive
- type: growth
- temperature: 37
Physiology and metabolism
oxygen tolerance
| @ref | oxygen tolerance | confidence |
|---|---|---|
| 125438 | anaerobe | 94.387 |
| 125439 | anaerobe | 99.6 |
Isolation, sampling and environmental information
isolation
- @ref: 67770
- sample type: Fecal sample of a healthy Japanese adult
Sequence information
Genome sequences
| @ref | description | accession | assembly level | database | NCBI tax ID |
|---|---|---|---|---|---|
| 66792 | Lachnospiraceae bacterium Choco86 | 2109690.3 | complete | patric | 2109690 |
| 67770 | Lachnospiraceae bacterium Choco86 | GCA_003584665 | complete | ncbi | 2109690 |
GC content
- @ref: 67770
- GC-content: 44
- method: genome sequence analysis
Genome-based predictions
predictions
| @ref | model | trait | description | prediction | confidence | training_data |
|---|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positive | Positive reaction to Gram-staining | yes | 78.728 | no |
| 125438 | anaerobic | anaerobic | Ability to grow under anoxygenic conditions (including facultative anaerobes) | yes | 94.387 | no |
| 125438 | spore-forming | spore-forming | Ability to form endo- or exospores | no | 57.263 | no |
| 125438 | aerobic | aerobic | Ability to grow under oxygenic conditions (including facultative aerobes) | no | 98.803 | no |
| 125438 | thermophile | thermophilic | Ability to grow at temperatures above or equal to 45°C | no | 94.218 | yes |
| 125438 | motile2+ | flagellated | Ability to perform flagellated movement | no | 81.925 | no |
| 125439 | BacteriaNet | spore_formation | Ability to form endo- or exospores | yes | 72.8 | |
| 125439 | BacteriaNet | motility | Ability to perform movement | yes | 83.3 | |
| 125439 | BacteriaNet | gram_stain | Reaction to gram-staining | variable | 64.4 | |
| 125439 | BacteriaNet | oxygen_tolerance | Oxygenic conditions needed for growth | anaerobe | 99.6 |
External links
@ref: 67770
culture collection no.: JCM 32527
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 |