Staphylococcus argenteus (CCUG 69384)

Name: Staphylococcus argenteus (CCUG 69384)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 157079

Type strain

Culture col. no. CCUG 69384

NCBI tax ID(s) 985002

Special Collections CCUG

Links

Staphylococcus argenteus CCUG 69384 is an aerobe bacterium that was isolated from Human perineum,56-yr-old female.

aerobe genome sequence Bacteria

Name and taxonomic classification

SI-ID 411011

CCUG 69384

@ref 20215

Last LPSN update 2026-05-29 08:43:39

Domain Bacteria

Phylum Bacillota

Class Bacilli

Order Caryophanales

Family Staphylococcaceae

Genus Staphylococcus

Species Staphylococcus argenteus

Full scientific name Staphylococcus argenteus Tong et al. 2015

Synonyms (1)

Staphylococcus singaporensis

BacDive ID	Other strains from **Staphylococcus argenteus** (4)	Type strain
130706	S. argenteus MSHR1132, DSM 28299, CIP 111113, JCM 31982, ... (type strain)
157080	S. argenteus CCUG 69385
157196	S. argenteus CCUG 70434
157216	S. argenteus CCUG 70640

Morphology

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)
63581	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
63581	aerobe
125439	facultative anaerobe	97.724

Spore formation

@ref	Spore formation	Confidence
125439		99.127

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Human	#Female
#Infection	#Patient	-

Isolation

@ref	Sample type	Host species	Sampling date	Geographic location	Country	Country ISO 3 Code	Continent
63581	Human perineum,56-yr-old female	Homo sapiens	2016-08-12	Göteborg	Sweden	SWE	Europe

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM301063v1 assembly for Staphylococcus argenteus CCUG 69384	contig	GCA_003010635	985002.190	8053265915	985002	68.68

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM301063v1 assembly for Staphylococcus argenteus CCUG 69384
NCBI: GCA_003010635

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	97.72	no
125439	gram_stain	BacteriaNetⓘ	positive	79.89	no
125439	spore_formation	BacteriaNetⓘ	no	99.13	no
125439	motility	BacteriaNetⓘ	no	88.02	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Staphylococcus argenteus strain CCUG 69384
PATRIC: 985002.190

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	86.43	no
125438	anaerobic	anaerobicⓘ	no	98.41	yes
125438	aerobic	aerobicⓘ	yes	55.65	yes
125438	spore-forming	spore-formingⓘ	no	71.89	no
125438	thermophilic	thermophileⓘ	no	95.24	no
125438	flagellated	motile2+ⓘ	no	79.44	no

Literature

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 )
#63581	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 69384
#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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