Kitasatospora azatica DSM 41650 is a bacterium that was isolated from soil.
genome sequence 16S sequence Bacteria| @ref 20215 |
|
|
| Domain Bacteria |
| Phylum Actinomycetota |
| Class Actinomycetes |
| Order Kitasatosporales |
| Family Streptomycetaceae |
| Genus Kitasatospora |
| Species Kitasatospora azatica |
| Full scientific name Kitasatospora azatica corrig. (Nakagaito et al. 1993) Zhang et al. 1997 |
| Synonyms (2) |
| BacDive ID | Other strains from Kitasatospora azatica (2) | Type strain |
|---|---|---|
| 128544 | K. azatica SF001593, | |
| 128545 | K. azatica SF002407, |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 10427 | ROLLED OATS MINERAL MEDIUM (DSMZ Medium 84) | Medium recipe at MediaDive | Name: ROLLED OATS MINERAL MEDIUM (DSMZ Medium 84) Composition: Agar 20.0 g/l Rolled oats 20.0 g/l ZnSO4 x 7 H2O 0.001 g/l MnCl2 x 4 H2O 0.001 g/l FeSO4 x 7 H2O 0.001 g/l Distilled water | ||
| 10427 | GYM STREPTOMYCES MEDIUM (DSMZ Medium 65) | Medium recipe at MediaDive | Name: GYM STREPTOMYCES MEDIUM (DSMZ Medium 65) Composition: Agar 18.0 g/l Malt extract 10.0 g/l Yeast extract 4.0 g/l Glucose 4.0 g/l CaCO3 2.0 g/l Distilled water |
Global distribution of 16S sequence U93312 (>99% sequence identity) for Kitasatospora from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 67770 | ASM74478v1 assembly for Kitasatospora azatica KCTC 9699 | contig | 1449346 | 76.96 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 20218 | Kitasatosporia azaticus strain IFO13803 16S ribosomal RNA gene, partial sequence | U93312 | 1481 | 58347 | ||
| 20218 | Kitasatosporia azaticus strain IFO13803 16S-23S rRNA gene spacer, partial sequence | U93313 | 278 | 58347 | ||
| 20218 | Kitasatospora azatica gene for 16S rRNA, partial sequence, strain: NBRC 13803 | AB184494 | 1473 | 58347 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 99.52 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 99.84 | no |
| 125439 | spore_formation | BacteriaNetⓘ | yes | 96.09 | no |
| 125439 | motility | BacteriaNetⓘ | no | 96.17 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 89.15 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 95.75 | no |
| 125438 | spore-forming | spore-formingⓘ | yes | 87.79 | no |
| 125438 | aerobic | aerobicⓘ | yes | 85.80 | no |
| 125438 | thermophilic | thermophileⓘ | no | 97.00 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 91.60 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Metabolism | Characterization of the biosynthetic gene cluster for cryptic phthoxazolin A in Streptomyces avermitilis. | Suroto DA, Kitani S, Arai M, Ikeda H, Nihira T. | PLoS One | 10.1371/journal.pone.0190973 | 2018 | |
| Phylogeny | Kitasatospora acidiphila sp. nov., isolated from pine grove soil, exhibiting antimicrobial potential. | Kim MJ, Roh SG, Kim MK, Park C, Kim S, Kim SB | Int J Syst Evol Microbiol | 10.1099/ijsem.0.004450 | 2020 |
| #10427 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 41650 |
| #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 ) |
| #20216 | Curators of the JMRC: Jena Microbial Resource Collection (JMRC): |
| #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 ) |
| #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 ) |
You found an error in BacDive? Please tell us about it!
Note that changes will be reviewed and judged. If your changes are legitimate, changes will occur within the next BacDive update. Only proposed changes supported by the according reference will be reviewed. The BacDive team reserves the right to reject proposed changes.
Successfully sent
If you want to cite this particular strain cite the following doi:
https://doi.org/10.13145/bacdive14851.20260601.11
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data