Mycobacterium heraklionense GN01 is a mesophilic, coccus-shaped prokaryote that was isolated from clinical isolate.
coccus-shaped mesophilic genome sequence 16S sequence| @ref 20215 |
|
|
| Domain Bacteria |
| Phylum Actinomycetota |
| Class Actinomycetes |
| Order Mycobacteriales |
| Family Mycobacteriaceae |
| Genus Mycobacterium |
| Species Mycobacterium heraklionense |
| Full scientific name Mycobacterium heraklionense Tortoli et al. 2013 |
| Synonyms (1) |
| 30561 | Productionno |
| @ref: | 20670 |
| multimedia content: | DSM_46753.jpg |
| multimedia.multimedia content: | https://www.dsmz.de/microorganisms/photos/DSM_46753.jpg |
| caption: | Medium 645 37°C |
| intellectual property rights: | © Leibniz-Institut DSMZ |
| manual_annotation: | 1 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 20670 | 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 | ||
| 20670 | COLUMBIA BLOOD MEDIUM (DSMZ Medium 693) | Medium recipe at MediaDive | Name: COLUMBIA BLOOD MEDIUM (DSMZ Medium 693) Composition: Defibrinated sheep blood 50.0 g/l Columbia agar base |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Infection | #Medical environment | #Clinic | |
| #Infection | #Patient | - | |
| #Infection | #Patient | #Specimen |
Global distribution of 16S sequence GU084182 (>99% sequence identity) for Mycolicibacter from Microbeatlas ![]()
| @ref | Biosafety level | Biosafety level comment | |
|---|---|---|---|
| 20670 | 2 | Risk group (German classification) |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM1964581v1 assembly for Mycolicibacter heraklionensis JCM 30995 | complete | 512402 | 97.8 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 20670 | Mycobacterium heraklionense strain NCTC 13432 16S ribosomal RNA gene, partial sequence | GU084182 | 1427 | 512402 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 54.40 | no |
| 125439 | motility | BacteriaNetⓘ | no | 81.20 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 94.90 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 98.30 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 89.19 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 93.54 | no |
| 125438 | aerobic | aerobicⓘ | yes | 82.42 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 64.54 | yes |
| 125438 | thermophilic | thermophileⓘ | no | 96.82 | no |
| 125438 | flagellated | motile2+ⓘ | no | 90.00 | 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 | Microbiological features and clinical relevance of new species of the genus Mycobacterium. | Tortoli E. | Clin Microbiol Rev | 10.1128/cmr.00035-14 | 2014 | |
| Draft Genome Sequence of Mycobacterium heraklionense Strain Davo. | Greninger AL, Cunningham G, Chiu CY, Miller S. | Genome Announc | 10.1128/genomea.00807-15 | 2015 | ||
| Complete Genome Sequences of 14 Nontuberculous Mycobacteria Type Strains. | Igarashi Y, Osugi A, Murase Y, Chikamatsu K, Shimomura Y, Hosoya M, Aono A, Morishige Y, Yamada H, Takaki A, Mitarai S. | Microbiol Resour Announc | 10.1128/mra.01214-22 | 2023 | ||
| Phylogeny | Survey of 150 strains belonging to the Mycobacterium terrae complex and description of Mycobacterium engbaekii sp. nov., Mycobacterium heraklionense sp. nov. and Mycobacterium longobardum sp. nov. | Tortoli E, Gitti Z, Klenk HP, Lauria S, Mannino R, Mantegani P, Mariottini A, Neonakis I | Int J Syst Evol Microbiol | 10.1099/ijs.0.038737-0 | 2012 |
| #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 ) |
| #20670 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 46753 |
| #26892 | IJSEM 401 2013 ( DOI 10.1099/ijs.0.038737-0 , PubMed 22447702 ) |
| #30561 | 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 #26892 |
| #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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