Kocuria rosea (CIP 82.61, ATCC 516, CCM 839)

Name: Kocuria rosea (CIP 82.61, ATCC 516, CCM 839)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 135377

Type strain

Culture col. no. CIP 82.61 ATCC 516 CCM 839

NCBI tax ID(s) 1275

Special Collections CIP

History CIP <- 1982, CCM, Micrococcus roseus <- J.B. Evans <- ATCC <- K.F. Meyer, Rhodococcus roseus

Links

Kocuria rosea CIP 82.61 is a bacterium of the family Micrococcaceae.

genome sequence Bacteria

Name and taxonomic classification

SI-ID 9317

LMG 14226,ATCC 516,CCM 839,NCTC 7521,VKM B-1862,CIP 82.61,VKM Ac-2199

@ref 20215

Last LPSN update 2026-02-09 11:32:25

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Micrococcales

Family Micrococcaceae

Genus Kocuria

Species Kocuria rosea

Full scientific name Kocuria rosea (Flügge 1886) Stackebrandt et al. 1995

Synonyms (4)

Deinococcus erythromyxa
Pelczaria aurantia
Micrococcus roseus
Kocuria erythromyxa

BacDive ID	Other strains from **Kocuria rosea** (7)	Type strain
103060	K. rosea ST000650(HKI),
135587	K. rosea CIP 56.93
135657	K. rosea CIP 68.26
153554	K. rosea CCUG 50155 C
162781	K. rosea JCM 20141, ATCC 9815, BCRC 11577, CCM 691, ...
162925	K. rosea JCM 20437, ATCC 412, CCM 633, IAM 12147, ...
162926	K. rosea JCM 20438, ATCC 185, CCM 385, IAM 12148, ...

Morphology

Cell morphology

@ref	Confidence	Gram stain
125438	90.5
125438	94.212	positive
125439	99.4	positive

Culture and growth conditions

Culture medium

@ref	Name	Growth	Composition	Medium link
34479	MEDIUM 3 - Columbia agar		Columbia agar (39.000 g);distilled water (1000.000 ml)
34479	CIP Medium 3			Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)
34479	positive	growth	30

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	facultative anaerobe	93.4

Isolation, sampling and environmental information

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
34479	1	Risk group (French classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	NCBI tax ID	Score
66792	ASM312406v1 assembly for Kocuria rosea ATCC 516	contig	GCA_003124065	1275.8	1275	60.13

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Kocuria rosea ATCC 516
NCBI: GCA_003124065

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	93.40	no
125439	gram_stain	BacteriaNetⓘ	positive	99.40	no
125439	motility	BacteriaNetⓘ	no	82.30	no
125439	spore_formation	BacteriaNetⓘ	yes	51.10	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Kocuria rosea strain ATCC 516
PATRIC: 1275.8

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	94.21	no
125438	anaerobic	anaerobicⓘ	no	97.68	no
125438	spore-forming	spore-formingⓘ	no	65.57	no
125438	aerobic	aerobicⓘ	yes	85.05	no
125438	thermophilic	thermophileⓘ	no	97.11	yes
125438	flagellated	motile2+ⓘ	no	90.50	no

Literature

Title	Authors	Journal	DOI	Year
Genome Sequences for Three Strains of Kocuria rosea, Including the Type Strain.	Trachtenberg AM, Goen AE, MacLea KS.	Genome Announc	10.1128/genomea.00594-18	2018

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 )
#34479	Collection of Institut Pasteur ; Curators of the CIP; CIP 82.61
#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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Kocuria rosea (CIP 82.61, ATCC 516, CCM 839)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Isolation, sampling and environmental information

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_003124065

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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