When using BacDive for research please cite our paper
Rhodococcus subtropicus C9-28 is an aerobe, mesophilic, Gram-positive bacterium that was isolated from soil inside a natural cave.
- Gram-positive
- rod-shaped
- aerobe
- mesophilic
- 16S sequence
- Bacteria
- genome sequence
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Information on the name and the taxonomic classification.
Name and taxonomic classification

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Information on morphological and physiological properties
Morphology

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Information on culture and growth conditions
Culture and growth conditions

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Information on physiology and metabolism
Physiology and metabolism

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Information on isolation source, the sampling and environmental conditions
Isolation, sampling and environmental information

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Information on genomic background e.g. entries in nucleic sequence databass
Sequence information

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Data predicted using genome information as a basis
Genome-based predictions

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Availability in culture collections
External links

References
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#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 ) -
#65199 Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 107559 -
#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) . -
#68023 Soon Dong Lee, Young-Ju Kim, In Seop Kim: Rhodococcus subtropicus sp. nov., a new actinobacterium isolated from a cave. IJSEM 69: 3128 - 3134 2019 ( DOI 10.1099/ijsem.0.003601 ) -
#68379 Automatically annotated from API Coryne . -
#68382 Automatically annotated from API zym . -
#69246 Wink, J.: Compendium of Actinobacteria. HZI-Helmholtz-Centre for Infection Research, Braunschweig . -
#111317 Reimer, L.C., Lissin, A.,Schober, I., Witte,J.F., Podstawka, A., Lüken, H., Bunk, B.,Overmann, J.: StrainInfo: A central database for resolving microbial strain identifiers . ( DOI 10.60712/SI-ID407868.1 ) -
#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 . - * These data were automatically processed and therefore are not curated
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