Rhodococcus oxybenzonivorans (S2-17, JCM 32046, KACC 19281)

Name: Rhodococcus oxybenzonivorans (S2-17, JCM 32046, KACC 19281)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 169824

Type strain

Strain Designation S2-17

Culture col. no. S2-17 JCM 32046 KACC 19281

NCBI tax ID(s) 1990687

Special Collections JCM

Links

Rhodococcus oxybenzonivorans S2-17 is a prokaryote of the family Nocardiaceae.

genome sequence 16S sequence

Name and taxonomic classification

SI-ID 133136

JCM 32046

@ref 20215

Last LPSN update 2026-02-09 11:41:07

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Mycobacteriales

Family Nocardiaceae

Genus Rhodococcus

Species Rhodococcus oxybenzonivorans

Full scientific name Rhodococcus oxybenzonivorans Baek et al. 2022

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	positive	92.8

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	95

Isolation, sampling and environmental information

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM313070v1 assembly for Rhodococcus oxybenzonivorans S2-17	complete	GCA_003130705	1990687.3	2867022365	1990687	97.69

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20215	Rhodococcus oxybenzonivorans strain S2-17 16S ribosomal RNA gene, partial sequence	KY765341	1451		1990687

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Rhodococcus oxybenzonivorans S2-17
NCBI: GCA_003130705

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	54.70	no
125439	motility	BacteriaNetⓘ	no	83.60	no
125439	gram_stain	BacteriaNetⓘ	positive	92.80	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	95.00	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Rhodococcus oxybenzonivorans S2-17
NCBI: GCA_003130705.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	88.08	no
125438	anaerobic	anaerobicⓘ	no	98.08	no
125438	aerobic	aerobicⓘ	yes	89.18	no
125438	spore-forming	spore-formingⓘ	yes	53.45	no
125438	thermophilic	thermophileⓘ	no	97.00	no
125438	flagellated	motile2+ⓘ	no	89.00	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Rhodococcus oxybenzonivorans sp. nov., a benzophenone-3-degrading bacterium, isolated from stream sediment.	Baek JH, Baek W, Jeong SE, Lee SC, Jin HM, Jeon CO	Int J Syst Evol Microbiol	10.1099/ijsem.0.005433	2022

References

#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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Rhodococcus oxybenzonivorans (S2-17, JCM 32046, KACC 19281)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

Isolation, sampling and environmental information

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_003130705

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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