Mycobacterium arupense AR30097 is an aerobe, mesophilic, rod-shaped prokaryote that was isolated from tendon.
rod-shaped aerobe mesophilic genome sequence 16S sequence| @ref 20215 |
|
|
| Domain Bacillati |
| Phylum Actinomycetota |
| Class Actinomycetes |
| Order Mycobacteriales |
| Family Mycobacteriaceae |
| Genus Mycobacterium |
| Species Mycobacterium arupense |
| Full scientific name Mycobacterium arupense Cloud et al. 2006 |
| Synonyms (1) |
| BacDive ID | Other strains from Mycobacterium arupense (4) | Type strain |
|---|---|---|
| 150162 | M. arupense CCUG 39146 | |
| 154102 | M. arupense CCUG 52359 | |
| 155128 | M. arupense CCUG 56544 | |
| 156291 | M. arupense CCUG 61078 |
| 61749 | Incubation period5 days |
| 31755 | Productionyes |
| @ref: | 12106 |
| multimedia content: | DSM_44942-1.jpg |
| multimedia.multimedia content: | https://www.dsmz.de/microorganisms/photos/DSM_44942-1.jpg |
| intellectual property rights: | © Leibniz-Institut DSMZ |
| manual_annotation: | 1 |
| @ref: | 12106 |
| multimedia content: | DSM_44942.jpg |
| multimedia.multimedia content: | https://www.dsmz.de/microorganisms/photos/DSM_44942.jpg |
| caption: | Medium 645 37°C |
| intellectual property rights: | © Leibniz-Institut DSMZ |
| manual_annotation: | 1 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 12106 | 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 |
Global distribution of 16S sequence DQ157760 (>99% sequence identity) for Mycolicibacter from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM2582268v1 assembly for Mycolicibacter arupensis DSM 44942 | scaffold | 342002 | 67.18 | ||||
| 67770 | ASM208651v1 assembly for Mycolicibacter arupensis DSM 44942 | contig | 342002 | 46.01 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 20218 | Mycobacterium arupense strain DSM 44942 16S ribosomal RNA gene, partial sequence | EU191910 | 471 | 342002 | ||
| 20218 | Mycobacterium arupense strain ATCC BAA-1242 16S ribosomal RNA gene, partial sequence | JN571167 | 479 | 342002 | ||
| 12106 | Mycobacterium arupense strain AR30097 16S ribosomal RNA gene, partial sequence | DQ157760 | 1487 | 342002 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 67770 | 67.4 | genome sequence analysis |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 77.70 | no |
| 125439 | motility | BacteriaNetⓘ | no | 85.10 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 93.30 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 97.80 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 90.42 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 94.05 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 68.91 | no |
| 125438 | aerobic | aerobicⓘ | yes | 82.47 | no |
| 125438 | thermophilic | thermophileⓘ | no | 97.00 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 90.50 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Phylogenomics and Comparative Genomic Studies Robustly Support Division of the Genus Mycobacterium into an Emended Genus Mycobacterium and Four Novel Genera. | Gupta RS, Lo B, Son J. | Front Microbiol | 10.3389/fmicb.2018.00067 | 2018 | |
| Phylogeny | Mycobacterium minnesotense sp. nov., a photochromogenic bacterium isolated from sphagnum peat bogs. | Hannigan GD, Krivogorsky B, Fordice D, Welch JB, Dahl JL. | Int J Syst Evol Microbiol | 10.1099/ijs.0.037291-0 | 2013 | |
| Phylogeny | Mycobacterium arupense, Mycobacterium heraklionense, and a Newly Proposed Species, "Mycobacterium virginiense" sp. nov., but Not Mycobacterium nonchromogenicum, as Species of the Mycobacterium terrae Complex Causing Tenosynovitis and Osteomyelitis. | Vasireddy R, Vasireddy S, Brown-Elliott BA, Wengenack NL, Eke UA, Benwill JL, Turenne C, Wallace RJ. | J Clin Microbiol | 10.1128/jcm.00198-16 | 2016 | |
| Phylogeny | Mycobacterium arupense sp. nov., a non-chromogenic bacterium isolated from clinical specimens. | Cloud JL, Meyer JJ, Pounder JI, Jost KC, Sweeney A, Carroll KC, Woods GL | Int J Syst Evol Microbiol | 10.1099/ijs.0.64194-0 | 2006 |
| #12106 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 44942 |
| #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 ) |
| #20218 | Verslyppe, B., De Smet, W., De Baets, B., De Vos, P., Dawyndt P.: StrainInfo introduces electronic passports for microorganisms.. Syst Appl Microbiol. 37: 42 - 50 2014 ( DOI 10.1016/j.syapm.2013.11.002 , PubMed 24321274 ) |
| #31755 | Barberan A, Caceres Velazquez H, Jones S, Fierer N.: Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information. mSphere 2: 2017 ( DOI 10.1128/mSphere.00237-17 , PubMed 28776041 ) - originally annotated from #28028 (see below) |
| #61749 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 58731 |
| #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) . |
| #67770 | Japan Collection of Microorganism (JCM) ; Curators of the JCM; |
| #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 . |
| #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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