Strain identifier
BacDive ID: 162364
Type strain: 
Species: Nocardioides sp.
Strain history: T. Iida Avf-SE12.
NCBI tax ID(s): 1301083 (species)
version 9.3 (current version)
General
@ref: 67770
BacDive-ID: 162364
keywords: genome sequence, Bacteria, mesophilic
description: Nocardioides sp. JCM 18999 is a mesophilic bacterium that was isolated from Excrements of pill bugs Armadillidium vulgare.
NCBI tax id
- NCBI tax id: 1301083
- Matching level: species
strain history
- @ref: 67770
- history: T. Iida Avf-SE12.
doi: 10.13145/bacdive162364.20250331.9.3
Name and taxonomic classification
LPSN
- @ref: 20215
- description: domain/bacteria
- keyword: phylum/actinomycetota
- domain: Bacteria
- phylum: Actinomycetota
- class: Actinomycetes
- order: Propionibacteriales
- family: Nocardioidaceae
- genus: Nocardioides
- species: Nocardioides sp.
- full scientific name: Nocardioides Prauser 1976 (Approved Lists 1980)
synonyms
@ref synonym 20215 Marmoricola 20215 Pimelobacter
@ref: 67770
domain: Bacteria
phylum: Actinobacteria
class: Actinobacteria
order: Propionibacteriales
family: Nocardioidaceae
genus: Nocardioides
species: Nocardioides sp.
full scientific name: Nocardioides sp.
type strain: no
Morphology
cell morphology
- @ref: 125439
- gram stain: positive
- confidence: 99.7
Culture and growth conditions
culture temp
- @ref: 67770
- growth: positive
- type: growth
- temperature: 28
Physiology and metabolism
oxygen tolerance
- @ref: 125439
- oxygen tolerance: obligate aerobe
- confidence: 94.7
Isolation, sampling and environmental information
isolation
- @ref: 67770
- sample type: Excrements of pill bugs Armadillidium vulgare
- host species: Armadillidium vulgare
- geographic location: Wako, Saitama Pref.
- country: Japan
- origin.country: JPN
- continent: Asia
Sequence information
Genome sequences
| @ref | description | accession | assembly level | database | NCBI tax ID |
|---|---|---|---|---|---|
| 66792 | Nocardioides sp. JCM 18999 | GCA_001313045 | contig | ncbi | 1301083 |
| 66792 | Nocardioides sp. JCM 18999 | 1301083.4 | wgs | patric | 1301083 |
| 66792 | Nocardioides sp. JCM 18999 | 2734481928 | draft | img | 1301083 |
Genome-based predictions
predictions
| @ref | model | trait | description | prediction | confidence | training_data |
|---|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positive | Positive reaction to Gram-staining | yes | 80.508 | no |
| 125438 | anaerobic | anaerobic | Ability to grow under anoxygenic conditions (including facultative anaerobes) | no | 88.704 | no |
| 125438 | spore-forming | spore-forming | Ability to form endo- or exospores | no | 79.013 | no |
| 125438 | aerobic | aerobic | Ability to grow under oxygenic conditions (including facultative aerobes) | yes | 75.872 | no |
| 125438 | thermophile | thermophilic | Ability to grow at temperatures above or equal to 45°C | no | 91.828 | yes |
| 125438 | motile2+ | flagellated | Ability to perform flagellated movement | no | 66.894 | no |
| 125439 | BacteriaNet | spore_formation | Ability to form endo- or exospores | no | 65.2 | |
| 125439 | BacteriaNet | motility | Ability to perform movement | no | 86.1 | |
| 125439 | BacteriaNet | gram_stain | Reaction to gram-staining | positive | 99.7 | |
| 125439 | BacteriaNet | oxygen_tolerance | Oxygenic conditions needed for growth | obligate aerobe | 94.7 |
External links
@ref: 67770
culture collection no.: JCM 18999
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 |