Gordonia rubripertincta CWB2 is a mesophilic prokaryote that was isolated from soil.
mesophilic genome sequence| @ref 20215 |
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| Domain Bacillati |
| Phylum Actinomycetota |
| Class Actinomycetes |
| Order Mycobacteriales |
| Family Gordoniaceae |
| Genus Gordonia |
| Species Gordonia rubripertincta |
| Full scientific name Gordonia rubripertincta corrig. (Hefferan 1904) Stackebrandt et al. 1989 |
| Synonyms (8) |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 67075 | 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 | ||
| 67075 | 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 | |
|---|---|---|---|---|---|
| 67075 | positive | growth | 28 | mesophilic |
| @ref | Oxygen tolerance | Confidence | |
|---|---|---|---|
| 125439 | obligate aerobe | 92.7 |
| @ref | Sample type | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|
| 67075 | soil | Germany | DEU | Europe |
| @ref | Biosafety level | Biosafety level comment | |
|---|---|---|---|
| 67075 | 1 | Risk group (German classification) |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM356862v1 assembly for Gordonia rubripertincta CWB2 | complete | 36822 | 98.2 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 56.40 | no |
| 125439 | motility | BacteriaNetⓘ | no | 91.90 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 98.90 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 92.70 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 91.92 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 98.20 | no |
| 125438 | aerobic | aerobicⓘ | yes | 89.92 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 60.58 | no |
| 125438 | thermophilic | thermophileⓘ | no | 97.47 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 90.00 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Data on metal-chelating, -immobilisation and biosorption properties by Gordonia rubripertincta CWB2 in dependency on rare earth adaptation. | Schwabe R, Senges CHR, Bandow JE, Heine T, Lehmann H, Wiche O, Schlomann M, Levican G, Tischler D. | Data Brief | 10.1016/j.dib.2020.105739 | 2020 | ||
| Enzymology | Biochemical Characterization of Phenylacetaldehyde Dehydrogenases from Styrene-degrading Soil Bacteria. | Zimmerling J, Oelschlagel M, Grossmann C, Voitel M, Schlomann M, Tischler D. | Appl Biochem Biotechnol | 10.1007/s12010-020-03421-8 | 2021 | |
| Screening for Microbial Metal-Chelating Siderophores for the Removal of Metal Ions from Solutions. | Hofmann M, Heine T, Malik L, Hofmann S, Joffroy K, Senges CHR, Bandow JE, Tischler D. | Microorganisms | 10.3390/microorganisms9010111 | 2021 | ||
| Metabolism | Analysis of desferrioxamine-like siderophores and their capability to selectively bind metals and metalloids: development of a robust analytical RP-HPLC method. | Schwabe R, Anke MK, Szymanska K, Wiche O, Tischler D | Res Microbiol | 10.1016/j.resmic.2018.08.002 | 2018 |
| #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) . |
| #67075 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 46758 |
| #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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