Streptomyces hyaluromycini MB-PO13 is a mesophilic prokaryote that was isolated from tunicate Molgula manhattensis.
mesophilic genome sequence| @ref 20215 |
|
|
| Domain Bacillati |
| Phylum Actinomycetota |
| Class Actinomycetes |
| Order Kitasatosporales |
| Family Streptomycetaceae |
| Genus Streptomyces |
| Species Streptomyces hyaluromycini |
| Full scientific name Streptomyces hyaluromycini Harunari et al. 2016 |
| @ref: | 24356 |
| multimedia content: | DSM_100105.jpg |
| multimedia.multimedia content: | https://www.dsmz.de/microorganisms/photos/DSM_100105.jpg |
| caption: | Medium 65 28°C |
| intellectual property rights: | © Leibniz-Institut DSMZ |
| manual_annotation: | 1 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 24356 | 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 | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 24356 | positive | growth | 28 | mesophilic |
| @ref | Sample type | Host species | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|---|
| 24356 | tunicate Molgula manhattensis | Molgula manhattensis | Minato-ku, Tokyo Bay | Japan | JPN | Asia |
| @ref | Biosafety level | Biosafety level comment | |
|---|---|---|---|
| 24356 | 1 | Risk group (German classification) |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM221775v1 assembly for Streptomyces hyaluromycini NBRC 110483 | scaffold | 1377993 | 65.97 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 24356 | 73.6 | high performance liquid chromatography (HPLC) |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | yes | 92.10 | no |
| 125439 | motility | BacteriaNetⓘ | no | 91.70 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 99.80 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 97.10 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 86.80 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 96.83 | no |
| 125438 | aerobic | aerobicⓘ | yes | 90.75 | no |
| 125438 | spore-forming | spore-formingⓘ | yes | 91.07 | no |
| 125438 | thermophilic | thermophileⓘ | no | 96.50 | no |
| 125438 | flagellated | motile2+ⓘ | no | 87.00 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Enzymology | Konamycins A and B and Rubromycins CA1 and CA2, Aromatic Polyketides from the Tunicate-Derived Streptomyces hyaluromycini MB-PO13(T). | Harunari E, Imada C, Igarashi Y | J Nat Prod | 10.1021/acs.jnatprod.9b00107 | 2019 | |
| Genetics | Draft genome sequence of Streptomyces hyaluromycini MB-PO13(T), a hyaluromycin producer. | Harunari E, Komaki H, Ichikawa N, Hosoyama A, Kimura A, Hamada M, Igarashi Y | Stand Genomic Sci | 10.1186/s40793-017-0286-7 | 2018 | |
| Phylogeny | Streptomyces hyaluromycini sp. nov., isolated from a tunicate (Molgula manhattensis). | Harunari E, Hamada M, Shibata C, Tamura T, Komaki H, Imada C, Igarashi Y | J Antibiot (Tokyo) | 10.1038/ja.2015.110 | 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 ) |
| #24356 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 100105 |
| #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) . |
| #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/bacdive132567.20251217.10
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data