Mucilaginibacter achroorhodeus MJ1a is a Gram-negative bacterium of the family Sphingobacteriaceae.
Gram-negative genome sequence 16S sequence Bacteria|
|
| 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 | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 20215 | Mucilaginibacter achroorhodeus strain MJ1a 16S ribosomal RNA gene, partial sequence | MH107818 | 1464 | 2599294 |
| @ref | Description | Accession | Assembly level | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 66792 | Mucilaginibacter achroorhodeus MJ1a | GCA_007846095 | contig | 2599294 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 97.70 | no |
| 125439 | motility | BacteriaNetⓘ | no | 70.90 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 96.60 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 93.70 | 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 |
| Culture collection no. | |
|---|---|
| KACC 19906 | |
| MJ1a | |
| NBRC 113667 |
| #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 . |
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