Bacillus subtilis DSM 13019 is a mesophilic prokaryote that was isolated from boiled hay, 1940s.
mesophilic genome sequence| @ref 20215 |
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| Domain Bacillati |
| Phylum Bacillota |
| Class Bacilli |
| Order Caryophanales |
| Family Bacillaceae |
| Genus Bacillus |
| Species Bacillus subtilis |
| Full scientific name Bacillus subtilis (Ehrenberg 1835) Cohn 1872 (Approved Lists 1980) |
| Synonyms (1) |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 4872 | NUTRIENT AGAR (DSMZ Medium 1) | Medium recipe at MediaDive | Name: NUTRIENT AGAR (DSMZ Medium 1) Composition: Agar 15.0 g/l Peptone 5.0 g/l Meat extract 3.0 g/l Distilled water |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 4872 | positive | growth | 30 | mesophilic |
| @ref | Spore formation | Confidence | |
|---|---|---|---|
| 125438 | 92.325 |
| @ref | Sample type | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|
| 4872 | boiled hay, 1940s | Denmark | DNK | Europe |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|
| 66792 | ASM2953713v2 assembly for Bacillus subtilis DSM 13019 | complete | 1423 | 97.09 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | yes | 69.00 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 64.90 | no |
| 125439 | gram_stain | BacteriaNetⓘ | variable | 83.70 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 83.90 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 82.41 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 90.34 | no |
| 125438 | aerobic | aerobicⓘ | yes | 69.30 | no |
| 125438 | spore-forming | spore-formingⓘ | yes | 92.33 | no |
| 125438 | thermophilic | thermophileⓘ | no | 94.70 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 83.72 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Complete and Draft Genome Sequences of 52 Bacillus and Priestia Strains Isolated from West African Fermentations and 26 Reference Strains from a Public Culture Collection. | Wiedenbein ES, Canoy TS, Hui Y, Parkouda C, Compaore CS, Ametefe E, Jakobsen M, Jespersen L, Nielsen DS. | Microbiol Resour Announc | 10.1128/mra.00394-23 | 2023 | ||
| Pathogenicity | Cold atmospheric air plasma sterilization against spores and other microorganisms of clinical interest. | Klampfl TG, Isbary G, Shimizu T, Li YF, Zimmermann JL, Stolz W, Schlegel J, Morfill GE, Schmidt HU. | Appl Environ Microbiol | 10.1128/aem.00583-12 | 2012 |
| #4872 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 13019 |
| #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) . |
| #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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