Streptomyces netropsis DSM 41480 is a mesophilic prokaryote that produces antibiotic compounds and was isolated from Mountain soil.
antibiotic compound production mesophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Bacteria |
| Phylum Actinomycetota |
| Class Actinomycetes |
| Order Kitasatosporales |
| Family Streptomycetaceae |
| Genus Streptomyces |
| Species Streptomyces netropsis |
| Full scientific name Streptomyces netropsis (Finlay et al. 1951) Witt and Stackebrandt 1991 |
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Synonyms (13)
Streptoverticillium distallicum
Streptoverticillium netropsis Streptomyces distallicus "Streptomyces flavopersicus" Streptoverticillium syringium Streptomyces kentuckensis Streptomyces syringium Streptomyces syringius "Streptomyces netropsis" "Streptomyces kentuckensis" Streptoverticillium flavopersicum Streptoverticillium kentuckense Streptomyces flavopersicus |
| @ref | Gram stain | Confidence | |
|---|---|---|---|
| 125439 | positive | 98.8 |
| @ref: | 10344 |
| multimedia content: | DSM_41480.jpg |
| multimedia.multimedia content: | https://www.dsmz.de/microorganisms/photos/DSM_41480.jpg |
| caption: | Medium 65 28°C |
| intellectual property rights: | Leibniz-Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH |
| manual_annotation: | 1 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 10344 | 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 | ||
| 10344 | STARCH - MINERAL SALT - AGAR (STMS) (DSMZ Medium 252) | Medium recipe at MediaDive | Name: STARCH - MINERAL SALT - AGAR (STMS) (DSMZ Medium 252) Composition: Agar 20.0 g/l Starch 10.0 g/l (NH4)2SO4 2.0 g/l CaCO3 2.0 g/l K2HPO4 1.0 g/l MgSO4 x 7 H2O 1.0 g/l NaCl 1.0 g/l FeSO4 x 7 H2O 0.001 g/l MnCl2 x 4 H2O 0.001 g/l ZnSO4 x 7 H2O 0.001 g/l Distilled water | ||
| 10344 | 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 |
| 67770 | Sample typeMountain soil |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM1787662v1 assembly for Streptomyces syringium DSM 41480 | contig | 76729 | 78.63 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | yes | 77.30 | no |
| 125439 | motility | BacteriaNetⓘ | no | 82.50 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 98.80 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 94.40 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 89.75 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 97.30 | no |
| 125438 | aerobic | aerobicⓘ | yes | 89.40 | no |
| 125438 | spore-forming | spore-formingⓘ | yes | 92.85 | no |
| 125438 | thermophilic | thermophileⓘ | no | 92.00 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 89.00 | no |
| #10344 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 41480 |
| #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 ) |
| #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 ) |
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