Staphylococcus equorum (DSM 20029, CCM 1400, 150)

Name: Staphylococcus equorum (DSM 20029, CCM 1400, 150)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 14661

Type strain

Strain Designation 150

Culture col. no. DSM 20029 CCM 1400 150

NCBI tax ID(s) 246432

Special Collections DSMZ

History DSMZ <- CCM <- M.S. Pokja, 150 (Staphylococcus lactis)

Links

Staphylococcus equorum 150 is a bacterium that was isolated from fermented meat product.

genome sequence Bacteria

Name and taxonomic classification

SI-ID 49565

DSM 20029,CCM 1400,BCRC 15443,CCRC 15443

@ref 20215

Last LPSN update 2026-05-29 08:28:20

Domain Bacteria

Phylum Bacillota

Class Bacilli

Order Caryophanales

Family Staphylococcaceae

Genus Staphylococcus

Species Staphylococcus equorum

Full scientific name Staphylococcus equorum Schleifer et al. 1985

BacDive ID	Other strains from **Staphylococcus equorum** (14)	Type strain
14662	S. equorum PA 231, PA231, DSM 20674, ATCC 43958, CCUG ... (type strain)
14651	S. equorum ID 01-1208, RP29, CCUG 49024, DSM 15097, ...
14663	S. equorum PA 207, DSM 20675
136790	S. equorum RP33, CIP 107657
146337	S. equorum CCUG 30958
146339	S. equorum CCUG 30960
151152	S. equorum CCUG 43374, CCM 4819
151153	S. equorum CCUG 43376, CCM 4821
153855	S. equorum CCUG 51378
153874	S. equorum CCUG 51472
153877	S. equorum CCUG 51477
155473	S. equorum CCUG 57825
158041	S. equorum Stevemage 150518_C16, DSM 107797
169494	S. equorum AntiMn-1, DSM 103348

Morphology

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
8438	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
8438	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

Culture temp

@ref	Growth	Type	Temperature (°C)
8438	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	facultative anaerobe	90.549

Murein

@ref	Murein short key	Type
8438	A11.02	A3alpha L-Lys-Gly_5-6

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	16024 ChEBI	D-mannose	+	fermentation	from API ID32STA
68375	16988 ChEBI	D-ribose	-	fermentation	from API ID32STA
68375	17716 ChEBI	lactose	+	fermentation	from API ID32STA
68375	17306 ChEBI	maltose	-	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

Antibiotic resistance

@ref	ChEBI	Group ID	Metabolite	Is resistant	Resistance conc.
68375	28368	0	novobiocin		1.8 µg	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	arginine dihydrolase	-	3.5.3.6	from API ID32STA
68375	beta-galactosidase	+	3.2.1.23	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
8438	+	-	-	-	+	+	+	-	+	+	+	-	-	-	+	-	+	-	-	-	+	+	-	-	-	-
8438	+	-	-	+	+	+	+	-	+	+	+	-	-	-	+	-	+	-	+	-	+	+	+/-	-	-	+

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Food production	#Meat

Isolation

8438

Sample typefermented meat product

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
8438	1	Risk group (German classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	NCBI tax ID	Score
124043	ASM1602823v1 assembly for Staphylococcus equorum FDAARGOS_884	complete	GCA_016028235	246432.118	246432	97.18

GC content

8438

GC-content (mol%)30.2

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM1602823v1 assembly for Staphylococcus equorum FDAARGOS_884
BV-BRC: 246432.118

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	90.55	no
125439	motility	BacteriaNetⓘ	no	70.40	no
125439	gram_stain	BacteriaNetⓘ	positive	57.88	no
125439	spore_formation	BacteriaNetⓘ	no	81.36	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Staphylococcus equorum strain FDAARGOS_884 strain Not applicable
PATRIC: 246432.118

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	76.29	no
125438	anaerobic	anaerobicⓘ	no	98.97	no
125438	spore-forming	spore-formingⓘ	no	70.85	no
125438	thermophilic	thermophileⓘ	no	95.92	no
125438	aerobic	aerobicⓘ	yes	74.18	no
125438	flagellated	motile2+ⓘ	no	78.50	no

Literature

References

#8438	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 20029
#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 )
#68375	Automatically annotated from API ID32STA .
#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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