Mucilaginibacter achroorhodeus MJ1a is a bacterium of the family Sphingobacteriaceae.
genome sequence 16S sequence Bacteria| @ref 20215 |
|
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| 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 | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM784609v1 assembly for Mucilaginibacter achroorhodeus MJ1a | contig | 2599294 | 75.95 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 20215 | Mucilaginibacter achroorhodeus strain MJ1a 16S ribosomal RNA gene, partial sequence | MH107818 | 1464 | 2599294 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 99.35 | no |
| 125439 | motility | BacteriaNetⓘ | no | 78.61 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 90.98 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 93.74 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 96.31 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 97.26 | no |
| 125438 | aerobic | aerobicⓘ | yes | 86.65 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 85.94 | no |
| 125438 | thermophilic | thermophileⓘ | no | 96.49 | no |
| 125438 | flagellated | motile2+ⓘ | no | 88.50 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Identification of Mucilaginibacter conchicola sp. nov., Mucilaginibacter achroorhodeus sp. nov. and Mucilaginibacter pallidiroseus sp. nov. and emended description of the genus Mucilaginibacter. | Kim J, Lee B, Chhetri G, Kim I, So Y, Jang W, Seo T | Int J Syst Evol Microbiol | 10.1099/ijsem.0.005431 | 2022 |
| #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. IJSEM ( DOI 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) . |
| #125438 | Julia Koblitz, Lorenz Christian Reimer, Rüdiger Pukall, Jörg Overmann: Predicting bacterial phenotypic traits through improved machine learning using high-quality, curated datasets. 2024 ( DOI 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 . |
| #126262 | A. Lissin, I. Schober, J. F. Witte, H. Lüken, A. Podstawka, J. Koblitz, B. Bunk, P. Dawyndt, P. Vandamme, P. de Vos, J. Overmann, L. C. Reimer: StrainInfo—the central database for linked microbial strain identifiers. ( DOI 10.1093/database/baaf059 ) |
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If you want to cite this particular strain cite the following doi:
https://doi.org/10.13145/bacdive170218.20260601.11
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BacDive in 2025: the core database for prokaryotic strain data