Strain identifier
BacDive ID: 170218
Type strain: 
Species: Mucilaginibacter achroorhodeus
Strain Designation: MJ1a
NCBI tax ID(s): 2599294 (species)
version 9.3 (current version)
General
@ref: 20215
BacDive-ID: 170218
keywords: genome sequence, 16S sequence, Bacteria, Gram-negative
description: Mucilaginibacter achroorhodeus MJ1a is a Gram-negative bacterium of the family Sphingobacteriaceae.
NCBI tax id
- NCBI tax id: 2599294
- Matching level: species
doi: 10.13145/bacdive170218.20250331.9.3
Name and taxonomic classification
LPSN
- @ref: 20215
- description: domain/bacteria
- keyword: phylum/bacteroidota
- domain: Bacteria
- phylum: Bacteroidota
- class: Sphingobacteriia
- order: Sphingobacteriales
- family: Sphingobacteriaceae
- genus: Mucilaginibacter
- species: Mucilaginibacter achroorhodeus
- full scientific name: Mucilaginibacter achroorhodeus Kim et al. 2022
@ref: 20215
domain: Bacteria
phylum: Bacteroidota
class: Sphingobacteriia
order: Sphingobacteriales
family: Sphingobacteriaceae
genus: Mucilaginibacter
species: Mucilaginibacter achroorhodeus
full scientific name: Mucilaginibacter achroorhodeus Kim et al. 2022
strain designation: MJ1a
type strain: yes
Morphology
cell morphology
| @ref | gram stain | confidence |
|---|---|---|
| 125438 | negative | 96.31 |
| 125439 | negative | 96.6 |
Physiology and metabolism
oxygen tolerance
- @ref: 125439
- oxygen tolerance: obligate aerobe
- confidence: 93.7
spore formation
- @ref: 125439
- spore formation: no
- confidence: 97.7
Sequence information
16S sequences
- @ref: 20215
- description: Mucilaginibacter achroorhodeus strain MJ1a 16S ribosomal RNA gene, partial sequence
- accession: MH107818
- length: 1464
- database: nuccore
- NCBI tax ID: 2599294
Genome sequences
- @ref: 66792
- description: Mucilaginibacter achroorhodeus MJ1a
- accession: GCA_007846095
- assembly level: contig
- database: ncbi
- NCBI tax ID: 2599294
Genome-based predictions
predictions
| @ref | model | trait | description | prediction | confidence | training_data |
|---|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positive | Positive reaction to Gram-staining | no | 96.31 | no |
| 125438 | anaerobic | anaerobic | Ability to grow under anoxygenic conditions (including facultative anaerobes) | no | 97.255 | no |
| 125438 | aerobic | aerobic | Ability to grow under oxygenic conditions (including facultative aerobes) | yes | 86.652 | no |
| 125438 | spore-forming | spore-forming | Ability to form endo- or exospores | no | 85.936 | no |
| 125438 | thermophile | thermophilic | Ability to grow at temperatures above or equal to 45°C | no | 96.49 | no |
| 125438 | motile2+ | flagellated | Ability to perform flagellated movement | no | 88.5 | no |
| 125439 | BacteriaNet | spore_formation | Ability to form endo- or exospores | no | 97.7 | |
| 125439 | BacteriaNet | motility | Ability to perform movement | no | 70.9 | |
| 125439 | BacteriaNet | gram_stain | Reaction to gram-staining | negative | 96.6 | |
| 125439 | BacteriaNet | oxygen_tolerance | Oxygenic conditions needed for growth | obligate aerobe | 93.7 |
External links
@ref: 20215
culture collection no.: KACC 19906, NBRC 113667
literature
- topic: Phylogeny
- Pubmed-ID: 35699986
- title: Identification of Mucilaginibacter conchicola sp. nov., Mucilaginibacter achroorhodeus sp. nov. and Mucilaginibacter pallidiroseus sp. nov. and emended description of the genus Mucilaginibacter.
- authors: Kim J, Lee B, Chhetri G, Kim I, So Y, Jang W, Seo T
- journal: Int J Syst Evol Microbiol
- DOI: 10.1099/ijsem.0.005431
- year: 2022
- mesh: Bacterial Typing Techniques, Bacteroidetes, Base Composition, Chitin, DNA, Bacterial/genetics, *Fatty Acids/chemistry, Phylogeny, RNA, Ribosomal, 16S/genetics, Sequence Analysis, DNA, *Soil Microbiology
- topic2: Transcriptome
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 |
| 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 |