"Actinomadura luzonensis" I 58 is a mesophilic prokaryote that was isolated from soil.
mesophilic genome sequence| @ref 20215 |
|
|
| Domain Bacillati |
| Phylum Actinomycetota |
| Class Actinomycetes |
| Order Streptosporangiales |
| Family Thermomonosporaceae |
| Genus Actinomadura |
| Species "Actinomadura luzonensis" |
| Full scientific name Actinomadura luzonensis Tomita et al. 1980 |
| @ref | Gram stain | Confidence | |
|---|---|---|---|
| 125439 | positive | 99.9 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 11054 | GPHF-MEDIUM (DSMZ Medium 553) | Medium recipe at MediaDive | Name: GPHF-MEDIUM (DSMZ Medium 553) Composition: Agar 20.0 g/l Glucose 10.0 g/l Beef extract 5.0 g/l Yeast extract 5.0 g/l Casein peptone 5.0 g/l CaCl2 x 2 H2O 0.74 g/l Distilled water | ||
| 11054 | 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 |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|
| 66792 | ASM2266445v2 assembly for Actinomadura luzonensis ATCC 31491 | scaffold | 2917990 | 63.18 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | yes | 90.70 | no |
| 125439 | motility | BacteriaNetⓘ | no | 89.10 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 99.90 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 98.50 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 89.07 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 92.63 | no |
| 125438 | aerobic | aerobicⓘ | yes | 86.22 | no |
| 125438 | spore-forming | spore-formingⓘ | yes | 88.19 | no |
| 125438 | thermophilic | thermophileⓘ | no | 94.50 | no |
| 125438 | flagellated | motile2+ⓘ | no | 84.60 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Conversion of a Heme-Dependent Dehydratase to a Piperazate Synthase Reveals the Role of the Heme Propionate Group in N-N Bond-Formation. | Higgins MA, Mirotadze N, Shi X, Hoffarth ER, Du YL, Ryan KS. | J Am Chem Soc | 10.1021/jacs.5c08886 | 2025 | ||
| Metabolism | BBM-928, a new antitumor antibiotic complex. II. Taxonomic studies on the producing organism. | Tomita K, Hoshino Y, Sasahira T, Kawaguchi H. | J Antibiot (Tokyo) | 10.7164/antibiotics.33.1098 | 1980 |
| #11054 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 43766 |
| #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 HKI: Collection Description Leibniz-Institut für Naturstoff-Forschung und Infektionsbiologie e. V. Hans-Knöll-Institut (HKI) . Leibniz-Institut für Naturstoff-Forschung und Infektionsbiologie e. V. Hans-Knöll-Institut (HKI): |
| #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; |
| #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/bacdive16953.20251217.10
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data