Bacillus rhizoplanae JJ-63 is a mesophilic prokaryote that was isolated from root surface, Zea mays.
mesophilic genome sequence| @ref 20215 |
|
|
| Domain Bacillati |
| Phylum Bacillota |
| Class Bacilli |
| Order Caryophanales |
| Family Bacillaceae |
| Genus Bacillus |
| Species Bacillus rhizoplanae |
| Full scientific name Bacillus rhizoplanae Kämpfer et al. 2022 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 68584 | 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 | |
|---|---|---|---|---|---|
| 68584 | positive | growth | 30 | mesophilic |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 68584 | root surface, Zea mays | Dunbar, Nebraska | USA | USA | North America |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | yes | 81.50 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 74.80 | no |
| 125439 | gram_stain | BacteriaNetⓘ | variable | 71.30 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 96.50 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 78.44 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 92.88 | no |
| 125438 | aerobic | aerobicⓘ | yes | 55.49 | no |
| 125438 | spore-forming | spore-formingⓘ | yes | 90.20 | no |
| 125438 | thermophilic | thermophileⓘ | no | 92.59 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 56.29 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Bacillus rhizoplanae sp. nov. from maize roots. | Kampfer P, Lipski A, McInroy JA, Clermont D, Criscuolo A, Glaeser SP | Int J Syst Evol Microbiol | 10.1099/ijsem.0.005450 | 2022 |
| #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) . |
| #68584 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 111827 |
| #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/bacdive169326.20251217.10
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