Staphylococcus argensis (DSM 29875, CIP 110904, CCUG 70920)

Name: Staphylococcus argensis (DSM 29875, CIP 110904, CCUG 70920)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 132229

Type strain

Strain Designation M4S-6

Culture col. no. DSM 29875 CIP 110904 CCUG 70920 M4S-6

NCBI tax ID(s) 1607738

Special Collections DSMZ CCUG CIP

History <- S. Heß, KIT; M4S-6 CIP <- 2015, S. Hess, Karlsruhe Inst. Technol., Karlsruhe, Germany: strain M4S-6

Links

Staphylococcus argensis M4S-6 is an aerobe, mesophilic, Gram-positive prokaryote that was isolated from river sediment.

Gram-positive coccus-shaped aerobe mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 400909

DSM 29875,CIP 110904,CCUG 70920T

@ref 20215

Last LPSN update 2026-02-09 11:31:39

Domain Bacteria

Phylum Bacillota

Class Bacilli

Order Caryophanales

Family Staphylococcaceae

Genus Staphylococcus

Species Staphylococcus argensis

Full scientific name Staphylococcus argensis Heß and Gallert 2015

Morphology

Cell morphology

@ref	Gram stain	Cell shape	Motility
116489	positive	coccus-shaped

Colony morphology

63766

Incubation period1 day

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
24018	TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92)		Medium recipe at MediaDive	Name: TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92) Composition: Trypticase soy broth 30.0 g/l Agar 15.0 g/l Yeast extract 3.0 g/l Distilled water
116489	CIP Medium 72		Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
24018	positive	growth	37	mesophilic
63766	positive	growth	37	mesophilic

Physiology and metabolism

Oxygen tolerance

63766

Oxygen toleranceaerobe

Spore formation

@ref	Spore formation	Confidence
125439		90.3

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68375	22599 ChEBI	arabinose	-	fermentation	from API ID32STA
68375	29016 ChEBI	arginine	-	hydrolysis	from API ID32STA
68375	17057 ChEBI	cellobiose	-	fermentation	from API ID32STA
68375	15824 ChEBI	D-fructose	+	fermentation	from API ID32STA
68375	17634 ChEBI	D-glucose	+	fermentation	from API ID32STA
68375	16899 ChEBI	D-mannitol	-	fermentation	from API ID32STA
68375	16988 ChEBI	D-ribose	-	fermentation	from API ID32STA
68375	4853 ChEBI	esculin	-	hydrolysis	from API ID32STA
68375	17716 ChEBI	lactose	-	fermentation	from API ID32STA
68375	17306 ChEBI	maltose	-	fermentation	from API ID32STA
68375	59640 ChEBI	N-acetylglucosamine	-	fermentation	from API ID32STA
68375	17632 ChEBI	nitrate	-	reduction	from API ID32STA
68375	18257 ChEBI	ornithine	+	degradation	from API ID32STA
68375	16634 ChEBI	raffinose	-	fermentation	from API ID32STA
68375	17992 ChEBI	sucrose	+	fermentation	from API ID32STA
68375	27082 ChEBI	trehalose	-	fermentation	from API ID32STA
68375	32528 ChEBI	turanose	-	fermentation	from API ID32STA
68375	16199 ChEBI	urea	-	hydrolysis	from API ID32STA

Metabolite production

@ref	Chebi-ID	Metabolite	Production
68375	15688 ChEBI	acetoin		from API ID32STA

Metabolite tests

@ref	Chebi-ID	Metabolite	Voges-proskauer-test
68375	15688 ChEBI	acetoin	-	from API ID32STA

Enzymes

@ref	Value	Activity	Ec
68375	alkaline phosphatase	-	3.1.3.1	from API ID32STA
68375	arginine dihydrolase	-	3.5.3.6	from API ID32STA
68375	beta-galactosidase	-	3.2.1.23	from API ID32STA
68375	beta-glucosidase	-	3.2.1.21	from API ID32STA
68375	beta-glucuronidase	-	3.2.1.31	from API ID32STA
68375	L-arginine arylamidase	-		from API ID32STA
68375	ornithine decarboxylase	+	4.1.1.17	from API ID32STA
68375	pyrrolidonyl arylamidase	-	3.4.19.3	from API ID32STA
68375	urease	-	3.5.1.5	from API ID32STA

API ID32STA

@ref	URE	ADH (Arg)	ODC	ESC	GLU	FRU	MNE	MAL	LAC	TRE	MAN	RAF	RIB	CEL	Reduction of nitrateNIT	Acetoin production (Voges Proskauer test)VP	beta GAL	L-arginine arylamidaseArgA	PAL	Pyrrolidonyl arylamidasePyrA	NOVO	SAC	NAG	TUR	ARA	beta GUR
24018	-	-	+	-	+	+	+/-	-	-	-	-	-	-	-	-	-	-	-	-	-	+	+	-	-	-	-
24018	-	-	+	-	+	+	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	+	-	-	-	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Aquatic	#River (Creek)
#Environmental	#Aquatic	#Sediment

Isolation

@ref	Sample type	Sampling date	Geographic location	Country	Country ISO 3 Code	Continent	Isolation date
24018	river sediment		river Argen	Germany	DEU	Europe
63766	Fresh water,environmental sediments	2012-10-01	River Argen	Germany	DEU	Europe
116489	Environment, Water, river		River Argen, South Germany	Germany	DEU	Europe	2012-10-26

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
116489	1	Risk group (French classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM290230v1 assembly for Staphylococcus argensis DSM 29875	scaffold	GCA_002902305	1607738.3	2917419282	1607738	66.69

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
24018	Staphylococcus argensis strain M4S-6 16S ribosomal RNA gene, partial sequence	KP716705	1080	1607738
124043	Staphylococcus argensis strain DSM 29875 16S ribosomal RNA gene, partial sequence 16S-23S ribosomal RNA intergenic spacer, complete sequence and 23S ribosomal RNA gene, partial sequence.	MF678862	4364	1607738
124043	Staphylococcus argensis strain DSM 29875 16S ribosomal RNA gene, partial sequence.	MF678918	1283	1607738

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Staphylococcus argensis DSM 29875
NCBI: GCA_002902305

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	90.30	no
125439	motility	BacteriaNetⓘ	no	83.00	no
125439	gram_stain	BacteriaNetⓘ	positive	89.90	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	88.30	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Staphylococcus argensis DSM 29875
NCBI: GCA_002902305.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	87.91	no
125438	anaerobic	anaerobicⓘ	no	98.65	yes
125438	aerobic	aerobicⓘ	yes	65.65	yes
125438	spore-forming	spore-formingⓘ	no	74.66	no
125438	thermophilic	thermophileⓘ	no	94.57	yes
125438	flagellated	motile2+ⓘ	no	84.89	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Draft Genome Sequences of 64 Type Strains of 50 Species and 25 Subspecies of the Genus Staphylococcus Rosenbach 1884.	Cole K, Foster D, Russell JE, Golubchik T, Llewelyn M, Wilson DJ, Crook D, Paul J, Modernising Medical Microbiology Consortium.	Microbiol Resour Announc	10.1128/mra.00062-19	2019
	Two New M23 Peptidoglycan Hydrolases With Distinct Net Charge.	Wysocka A, Jagielska E, Lezniak L, Sabala I.	Front Microbiol	10.3389/fmicb.2021.719689	2021
Phylogeny	Staphylococcus argensis sp. nov., a novel staphylococcal species isolated from an aquatic environment.	Hess S, Gallert C	Int J Syst Evol Microbiol	10.1099/ijs.0.000319	2015

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 )
#24018	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 29875
#63766	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 70920
#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) .
#68375	Automatically annotated from API ID32STA .
#116489	Collection of Institut Pasteur ; Curators of the CIP; CIP 110904
#124043	Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy .
#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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Staphylococcus argensis (DSM 29875, CIP 110904, CCUG 70920)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Metabolite utilization

Metabolite production

Metabolite tests

Enzymes

API ID32STA

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_002902305

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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