S 2903 is a mesophilic prokaryote that was isolated from marine sediment.
mesophilic genome sequence 16S sequence| @ref 20215 |
|
|
| Domain Bacillati |
| Phylum Actinomycetota |
| Class Actinomycetes |
| Order Micromonosporales |
| Family Micromonosporaceae |
| Genus Micromonospora |
| Full scientific name Micromonospora Ørskov 1923 (Approved Lists 1980) |
| Synonyms (3) |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 65832 | N-Z-AMINE-MEDIUM (DSMZ Medium 554) | Medium recipe at MediaDive | Name: N-Z-AMINE-MEDIUM (DSMZ Medium 554) Composition: Starch 20.0 g/l Agar 20.0 g/l Glucose 10.0 g/l N-Z amine 5.0 g/l Yeast extract 5.0 g/l CaCO3 1.0 g/l Distilled water | ||
| 65832 | TRYPTICASE SOY BROTH AGAR (DSMZ Medium 535) | Medium recipe at MediaDive | Name: TRYPTICASE SOY BROTH AGAR (DSMZ Medium 535) Composition: Trypticase soy broth 30.0 g/l Agar 15.0 g/l Distilled water |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 65832 | positive | growth | 28 | mesophilic |
| @ref | Oxygen tolerance | Confidence | |
|---|---|---|---|
| 125439 | obligate aerobe | 99.8 |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 65832 | marine sediment | Karadeniz | Turkey | TUR | Asia |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | |
|---|---|---|---|---|---|---|---|
| 66792 | ASM317674v1 assembly for Micromonospora globispora S2903 | contig | 1450148 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 65832 | Micromonospora sp. S2903 16S ribosomal RNA gene, partial sequence | JN989305 | 1460 | 1450148 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 99.80 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 99.80 | no |
| 125439 | motility | BacteriaNetⓘ | no | 86.40 | no |
| 125439 | spore_formation | BacteriaNetⓘ | yes | 81.80 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 91.39 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 90.87 | no |
| 125438 | spore-forming | spore-formingⓘ | yes | 87.56 | no |
| 125438 | aerobic | aerobicⓘ | yes | 85.57 | no |
| 125438 | thermophilic | thermophileⓘ | no | 94.50 | no |
| 125438 | flagellated | motile2+ⓘ | no | 90.57 | no |
| #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 ) |
| #65832 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 45687 |
| #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 ) |
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https://doi.org/10.13145/bacdive159009.20251217.10
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BacDive in 2025: the core database for prokaryotic strain data