Mycobacterium anyangense QIA-38 is an aerobe, mesophilic prokaryote that was isolated from Hanwoo .
aerobe mesophilic genome sequence 16S sequence| @ref 20215 |
|
|
| Domain Bacillati |
| Phylum Actinomycetota |
| Class Actinomycetes |
| Order Mycobacteriales |
| Family Mycobacteriaceae |
| Genus Mycobacterium |
| Species Mycobacterium anyangense |
| Full scientific name Mycobacterium anyangense Kim et al. 2015 |
| Synonyms (1) |
| @ref | Gram stain | Confidence | |
|---|---|---|---|
| 125439 | positive | 98.2 |
| @ref: | 24003 |
| multimedia content: | DSM_102212.jpg |
| multimedia.multimedia content: | https://www.dsmz.de/microorganisms/photos/DSM_102212.jpg |
| caption: | Medium 250 37°C |
| intellectual property rights: | © Leibniz-Institut DSMZ |
| manual_annotation: | 1 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 24003 | 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 | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 24003 | Hanwoo (Bos Tauruscoreanea) | Animal and Plant Quarantine Agency | Republic of Korea | KOR | Asia | |
| 67770 | Whole blood of Korean native cattle, Hanwoo (Bos taurus coreanae) | Republic of Korea | KOR | Asia | ||
| 67771 | From Animal and Plant Quarantine Agency | Republic of Korea | KOR | Asia |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM1073185v1 assembly for Mycolicibacterium anyangense JCM 30275 | complete | 1431246 | 98.96 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 63.10 | no |
| 125439 | motility | BacteriaNetⓘ | no | 82.50 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 98.20 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 99.30 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 88.95 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 97.34 | yes |
| 125438 | aerobic | aerobicⓘ | yes | 88.82 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 56.46 | no |
| 125438 | thermophilic | thermophileⓘ | no | 96.00 | no |
| 125438 | flagellated | motile2+ⓘ | no | 89.50 | 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 anyangense sp. nov., a rapidly growing species isolated from blood of Korean native cattle, Hanwoo (Bos taurus coreanae). | Kim BJ, Kim JM, Kim BR, Lee SY, Kim G, Jang YH, Ryoo S, Jeon CO, Jin HM, Jeong J, Lee SH, Lim JH, Kook YH, Kim BJ | Int J Syst Evol Microbiol | 10.1099/ijs.0.000255 | 2015 |
| #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 ) |
| #24003 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 102212 |
| #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; |
| #67771 | Korean Collection for Type Cultures (KCTC) ; Curators of the KCTC; |
| #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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https://doi.org/10.13145/bacdive132214.20251217.10
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BacDive in 2025: the core database for prokaryotic strain data