Staphylococcus schweitzeri (CCUG 70918, DSM 28300, CIP 111114)

Name: Staphylococcus schweitzeri (CCUG 70918, DSM 28300, CIP 111114)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 130707

Type strain

Strain Designation FSA084

Culture col. no. CCUG 70918 DSM 28300 CIP 111114 JCM 31983 SSI 89.004 2 more

NCBI tax ID(s) 1654388

Special Collections DSMZ CCUG JCM CIP

Links

Staphylococcus schweitzeri FSA084 is an aerobe, mesophilic, Gram-positive animal pathogen that was isolated from nasal swab from a red-tailed monkey within 12 h after the death of the animal.

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

Name and taxonomic classification

SI-ID 404071

NCTC 13712,JCM 31983,DSM 28300,CIP 111114,CCUG 70918T

@ref 20215

Last LPSN update 2025-12-16 10:01:03

Domain Bacillati

Phylum Bacillota

Class Bacilli

Order Caryophanales

Family Staphylococcaceae

Genus Staphylococcus

Species Staphylococcus schweitzeri

Full scientific name Staphylococcus schweitzeri Tong et al. 2015

Morphology

Cell morphology

@ref	Gram stain	Cell shape	Motility	Confidence
125439	positive			96
122517	positive	coccus-shaped

Colony morphology

@ref	Type of hemolysis	Hemolysis ability	Incubation period
21819	beta	1	1-2 days
63764			1 day

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
21819	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
21819	COLUMBIA BLOOD MEDIUM (DSMZ Medium 693)	Medium recipe at MediaDive	Name: COLUMBIA BLOOD MEDIUM (DSMZ Medium 693) Composition: Defibrinated sheep blood 50.0 g/l Columbia agar base
122517	CIP Medium 72	Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
21819	positive	growth	37	mesophilic
63764	positive	growth	37	mesophilic
67770	positive	growth	37	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
63764	aerobe
125439	facultative anaerobe	96

Spore formation

@ref	Spore formation	Confidence
125439		93.9

Observation

67770

Observationquinones: MK-8, MK-9, MK-7

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68375	22599 ChEBI	arabinose	-	fermentation	from API ID32STA
68378	29016 ChEBI	arginine	+	hydrolysis	from API STA
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
68378	15824 ChEBI	D-fructose	+	builds acid from	from API STA
68375	17634 ChEBI	D-glucose	+	fermentation	from API ID32STA
68378	17634 ChEBI	D-glucose	+	builds acid from	from API STA
68378	16899 ChEBI	D-mannitol	+	builds acid from	from API STA
68375	16899 ChEBI	D-mannitol	+	fermentation	from API ID32STA
68378	16024 ChEBI	D-mannose	+	builds acid from	from API STA
68375	16024 ChEBI	D-mannose	+	fermentation	from API ID32STA
68375	16988 ChEBI	D-ribose	-	fermentation	from API ID32STA
68378	65327 ChEBI	D-xylose	-	builds acid from	from API STA
68375	4853 ChEBI	esculin	-	hydrolysis	from API ID32STA
68378	17716 ChEBI	lactose	+	builds acid from	from API STA
68375	17716 ChEBI	lactose	+	fermentation	from API ID32STA
68378	17306 ChEBI	maltose	+	builds acid from	from API STA
68375	17306 ChEBI	maltose	+	fermentation	from API ID32STA
68378	28053 ChEBI	melibiose	-	builds acid from	from API STA
68378	320061 ChEBI	methyl alpha-D-glucopyranoside	-	builds acid from	from API STA
68378	59640 ChEBI	N-acetylglucosamine	+	builds acid from	from API STA
68375	59640 ChEBI	N-acetylglucosamine	+	fermentation	from API ID32STA
68378	17632 ChEBI	nitrate	+	reduction	from API STA
68375	17632 ChEBI	nitrate	+	reduction	from API ID32STA
68375	18257 ChEBI	ornithine	-	degradation	from API ID32STA
68378	16634 ChEBI	raffinose	-	builds acid from	from API STA
68375	16634 ChEBI	raffinose	-	fermentation	from API ID32STA
68375	17992 ChEBI	sucrose	+	fermentation	from API ID32STA
68378	17992 ChEBI	sucrose	+	builds acid from	from API STA
68378	27082 ChEBI	trehalose	+	builds acid from	from API STA
68375	27082 ChEBI	trehalose	+	fermentation	from API ID32STA
68375	32528 ChEBI	turanose	+	fermentation	from API ID32STA
68378	16199 ChEBI	urea	+	hydrolysis	from API STA
68375	16199 ChEBI	urea	+	hydrolysis	from API ID32STA
68378	17151 ChEBI	xylitol	-	builds acid from	from API STA

Metabolite production

@ref	Chebi-ID	Metabolite	Production
68375	15688 ChEBI	acetoin		from API ID32STA
68378	15688 ChEBI	acetoin		from API STA

Metabolite tests

@ref	Chebi-ID	Metabolite	Voges-proskauer-test
68378	15688 ChEBI	acetoin	+	from API STA
68375	15688 ChEBI	acetoin	+	from API ID32STA

Enzymes

@ref	Value	Activity	Ec
68378	alkaline phosphatase	+	3.1.3.1	from API STA
68375	alkaline phosphatase	+	3.1.3.1	from API ID32STA
68378	arginine dihydrolase	+	3.5.3.6	from API STA
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
21819	catalase	+	1.11.1.6
21819	cytochrome-c oxidase	-	1.9.3.1
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
68378	urease	+	3.5.1.5	from API STA
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
21819	+	+	-	-	+	+	+	+	+	+	+	-	-	-	+	+	-	-	+	-	-	+	+	+	-	-
21819	+	+	-	-	+	+	+	+	+	+	+	-	-	-	+	+	-	-	+	-	+	+	+	+	-	-

API STA

@ref	Control	GLU	FRU	MNE	MAL	LAC	TRE	MAN	XLT	MEL	Reduction of nitrateNIT	PAL	Acetoin production (Voges Proskauer test)VP	RAF	XYL	SAC	Acid from methyl-alpha-D-glucopyranosideMDG	NAG	ADH	URE	LSTR
21819	-	+	+	+	+	+	+	+	-	-	+	+	+	-	-	+	-	+	+	+	not determinedn.d.

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Infection	#Patient	#Swab
#Host	#Mammals	#Primates
#Host Body-Site	#Organ	#Nose

Isolation

@ref	Sample type	Host species	Geographic location	Country	Country ISO 3 Code	Continent	Latitude	Longitude	Sampling date
21819	nasal swab from a red-tailed monkey (Cercopithecus ascanius) within 12 h after the death of the animal	Cercopithecus ascanius	Moyen Ogooué	Gabon	GAB	Africa	-0.817	9.983 -0.817/9.983
63764	Nose culture,non human primate(Cercophithecus asc.			Gabon	GAB	Africa			2010
67770	Nares of a red-tailed monkey (Cercopithecus ascanius)	Cercopithecus ascanius		Gabon	GAB	Africa
122517	Nasal swab from a red-tailed monkey, Cercopithecus ascanius		Moyen Ogooué	Gabon	GAB	Africa

Taxonmaps

69479

Global distribution of 16S sequence MF678963 (>99% sequence identity) for Staphylococcus from Microbeatlas

Aquatic Samples	991
Soil Samples	353
Animal Samples	21663
Plant Samples	192
Total Samples	23199

Interaction and safety

Risk assessment

@ref	Pathogenicity animal	Biosafety level	Biosafety level comment
21819		2	Risk group (German classification)
122517		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	43874_A01 assembly for Staphylococcus schweitzeri NCTC13712	complete	GCA_900636685	1654388.7	2972407838	1654388	99.59
67770	Sa_FSA084 assembly for Staphylococcus schweitzeri	contig	GCA_000751255		2617271257	1654388	72.77
67770	ASM290240v1 assembly for Staphylococcus schweitzeri DSM 28300	scaffold	GCA_002902405	1654388.6	2917426961	1654388	59.45
66792	ASM1487709v1 assembly for Staphylococcus schweitzeri DSM 28300	contig	GCA_014877095	1654388.8	8119825802	1654388	55.93

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Staphylococcus schweitzeri strain DSM 28300 16S ribosomal RNA gene, partial sequence	MF678963	1283		1654388
124043	Staphylococcus schweitzeri strain DSM 28300 16S ribosomal RNA gene, partial sequence 16S-23S ribosomal RNA intergenic spacer, complete sequence and 23S ribosomal RNA gene, partial sequence.	MF678907	4361		1654388

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Staphylococcus schweitzeri strain NCTC13712
PATRIC: 1654388.7

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	93.90	no
125439	motility	BacteriaNetⓘ	no	83.40	no
125439	gram_stain	BacteriaNetⓘ	positive	96.00	no
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	96.00	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Staphylococcus schweitzeri NCTC13712
NCBI: GCA_900636685.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	84.64	no
125438	anaerobic	anaerobicⓘ	no	99.42	no
125438	aerobic	aerobicⓘ	yes	50.66	yes
125438	spore-forming	spore-formingⓘ	no	73.04	no
125438	thermophilic	thermophileⓘ	no	93.86	yes
125438	flagellated	motile2+ⓘ	no	80.44	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	An in vitro study on Staphylococcus schweitzeri virulence.	Grossmann A, Frobose NJ, Mellmann A, Alabi AS, Schaumburg F, Niemann S.	Sci Rep	10.1038/s41598-021-80961-x	2021
	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
	Factors Associated With MALDI-TOF Mass Spectral Quality of Species Identification in Clinical Routine Diagnostics.	Cuenod A, Foucault F, Pfluger V, Egli A.	Front Cell Infect Microbiol	10.3389/fcimb.2021.646648	2021
	From an Hsp90 - binding protein to a peptide drug.	Ammanath AV, Jarneborn A, Nguyen MT, Wessling L, Tribelli P, Nega M, Beck C, Luqman A, Selim KA, Kalbacher H, Macek B, Hammer SB, Jin T, Gotz F.	Microlife	10.1093/femsml/uqac023	2023
Pathogenicity	Staphylococcus argenteus and Staphylococcus schweitzeri are cytotoxic to human cells in vitro due to high expression of alpha-hemolysin Hla.	Johansson C, Rautelin H, Kaden R	Virulence	10.1080/21505594.2019.1620062	2019
Phylogeny	Novel staphylococcal species that form part of a Staphylococcus aureus-related complex: the non-pigmented Staphylococcus argenteus sp. nov. and the non-human primate-associated Staphylococcus schweitzeri sp. nov.	Tong SYC, Schaumburg F, Ellington MJ, Corander J, Pichon B, Leendertz F, Bentley SD, Parkhill J, Holt DC, Peters G, Giffard PM	Int J Syst Evol Microbiol	10.1099/ijs.0.062752-0	2014

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 )
#21819	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 28300
#63764	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 70918
#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) .
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#68375	Automatically annotated from API ID32STA .
#68378	Automatically annotated from API STA .
#69479	João F Matias Rodrigues, Janko Tackmann,Gregor Rot, Thomas SB Schmidt, Lukas Malfertheiner, Mihai Danaila,Marija Dmitrijeva, Daniela Gaio, Nicolas Näpflin and Christian von Mering. University of Zurich.: MicrobeAtlas 1.0 beta .
#122517	Collection of Institut Pasteur ; Curators of the CIP; CIP 111114
#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 schweitzeri (CCUG 70918, DSM 28300, CIP 111114)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Observation

Metabolite utilization

Metabolite production

Metabolite tests

Enzymes

API ID32STA

API STA

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_900636685

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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