Mycobacterium attenuatum MK41 is a bacterium that was isolated from bronchial secretions of a patient known for Still's disease.
genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Actinomycetota |
| Class Actinomycetes |
| Order Mycobacteriales |
| Family Mycobacteriaceae |
| Genus Mycobacterium |
| Species Mycobacterium attenuatum |
| Full scientific name Mycobacterium attenuatum Tagini et al. 2019 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 69047 | MIDDLEBROOK MEDIUM (DSMZ Medium 645) | Medium recipe at MediaDive | Name: MIDDLEBROOK MEDIUM (DSMZ Medium 645) Composition: Bacto Middlebrook 7H10 agar 20.9945 g/l Glycerol Distilled water |
| @ref | Oxygen tolerance | Confidence | |
|---|---|---|---|
| 125439 | obligate aerobe | 98.328 |
| @ref | Sample type | Host species | Geographic location | Country | Country ISO 3 Code | Continent | Latitude | Longitude | |
|---|---|---|---|---|---|---|---|---|---|
| 67931 | bronchial secretions (aspiration of bronchial secretions) of a patient known for Still's disease | Homo sapiens | Lausanne University Hospital | Switzerland | CHE | Europe | |||
| 69047 | Bronchial aspiration (Human) | Homo sapiens | Lausanne | Switzerland | CHE | Europe | 46.52 | 6.6336 46.52/6.6336 |
Global distribution of 16S sequence LS999934 (>99% sequence identity) for Mycobacterium from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | LAUMK41 assembly for Mycobacterium attenuatum MK41 | contig | 2341086 | 32.72 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 67931 | Mycobacterium sp. MK41 partial 16S rRNA gene, strain MK41 = CCUG 72127 = DSM 107153, isolate MK41, clone MK41 | LS999934 | 1525 | 2341086 |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Phylogenomics reveal that Mycobacterium kansasii subtypes are species-level lineages. Description of Mycobacterium pseudokansasii sp. nov., Mycobacterium innocens sp. nov. and Mycobacterium attenuatum sp. nov. | Tagini F, Aeby S, Bertelli C, Droz S, Casanova C, Prod'hom G, Jaton K, Greub G | Int J Syst Evol Microbiol | 10.1099/ijsem.0.003378 | 2019 |
| #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) . |
| #67931 | Florian Tagini, Sébastien Aeby, Claire Bertelli, Sara Droz, Carlo Casanova, Guy Prod'hom, Katia Jaton, Gilbert Greub: Phylogenomics reveal that Mycobacterium kansasii subtypes are species-level lineages. Description of Mycobacterium pseudokansasii sp. nov., Mycobacterium innocens sp. nov. and Mycobacterium attenuatum sp. nov.. IJSEM 69: 1696 - 1704 2019 ( DOI 10.1099/ijsem.0.003378 ) |
| #69047 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 107153 |
| #69479 | João F Matias Rodrigues, Janko Tackmann,Gregor Rot, Thomas SB Schmidt, Lukas Malfertheiner, Mihai Danaila,Marija Dmitrijeva, Daniela Gaio, Nicolas Näpflin and Christian von Mering. University of Zurich.: MicrobeAtlas 1.0 beta . |
| #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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https://doi.org/10.13145/bacdive166496.20260601.11
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BacDive in 2025: the core database for prokaryotic strain data