Staphylococcus equorum (DSM 20674, ATCC 43958, CCUG 30109)

Name: Staphylococcus equorum (DSM 20674, ATCC 43958, CCUG 30109)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 14662

Type strain

Strain Designation PA 231, PA231

Culture col. no. DSM 20674 ATCC 43958 CCUG 30109 CCM 3832 NCTC 12414 4 more

NCBI tax ID(s) 246432 29383

Special Collections DSMZ CCUG CIP

History DSMZ <- K.H. Schleifer <- D. Nzuambe, PA 231 CIP <- 1992, N. El Sohl, Inst. Pasteur, Paris, France <- D. Nzuambe, Belgium: strain PA231

Links

Staphylococcus equorum PA 231 is an obligate aerobe, Gram-positive, coccus-shaped bacterium that was isolated from skin of horse.

Gram-positive coccus-shaped obligate aerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 42149

ATCC 43958,DSM 20674,CCUG 30109,CCM 3832,CIP 103502,KCTC 3589,NCTC 12414,BCRC 13974,CCRC 13974,NRRL B-14765

@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
14651	S. equorum ID 01-1208, RP29, CCUG 49024, DSM 15097, ...
14661	S. equorum 150, DSM 20029, CCM 1400
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

Cell morphology

@ref	Gram stain	Cell shape	Motility
119126	positive	coccus-shaped

Colony morphology

@ref	Type of hemolysis	Hemolysis ability	Incubation period
8996	gamma	0	1-2 days
119126		1

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
8996	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
8996	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
36422	MEDIUM 3 - Columbia agar		Columbia agar (39.000 g);distilled water (1000.000 ml)
119126	CIP Medium 72	Medium recipe at CIP
119126	CIP Medium 3	Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)
8996	positive	growth	37
36422	positive	growth	37
119126	positive	growth	15-37
119126	negative	growth	45

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
119126	obligate aerobe
125439	facultative anaerobe	90.79

Murein

@ref	Murein short key	Type
8996	A11.02	A3alpha L-Lys-Gly_5-6

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68375	29016 ChEBI	arginine	-	hydrolysis	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	4853 ChEBI	esculin	-	hydrolysis	from API ID32STA
68375	17716 ChEBI	lactose	+	fermentation	from API ID32STA
68375	17306 ChEBI	maltose	+	fermentation	from API ID32STA
119126	17632 ChEBI	nitrate	+	reduction
119126	16301 ChEBI	nitrite	-	reduction
68375	18257 ChEBI	ornithine	-	degradation	from API ID32STA
68375	17992 ChEBI	sucrose	+	fermentation	from API ID32STA
119126	35020 ChEBI	tributyrin	-	hydrolysis

Antibiotic resistance

@ref	Metabolite	Is sensitive	Is resistant
119126	0129 (2,4-Diamino-6,7-di-iso-propylpteridine phosphate)

Metabolite production

@ref	Chebi-ID	Metabolite	Production
119126	35581 ChEBI	indole

Metabolite tests

@ref	Chebi-ID	Metabolite	Voges-proskauer-test
119126	15688 ChEBI	acetoin	-

Enzymes

@ref	Value	Activity	Ec
119126	alcohol dehydrogenase	-	1.1.1.1
68375	arginine dihydrolase	-	3.5.3.6	from API ID32STA
119126	beta-galactosidase	+	3.2.1.23
68375	beta-glucosidase	-	3.2.1.21	from API ID32STA
8996	catalase	+	1.11.1.6
119126	catalase	+	1.11.1.6
119126	coagulase	-
8996	cytochrome-c oxidase	-	1.9.3.1
119126	DNase	-
119126	gelatinase	-
119126	lecithinase	-
119126	lysine decarboxylase	-	4.1.1.18
119126	ornithine decarboxylase	-	4.1.1.17
68375	ornithine decarboxylase	-	4.1.1.17	from API ID32STA
119126	oxidase	-
119126	urease	+	3.5.1.5

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
8996	+	-	-	-	+	+	-	+	+	+	+	-	-	-	+	-	+	-	-	-	-	+	-	-	-	+/-
8996	+	-	-	-	+	+	-	+	+	-	+	-	-	-	+	-	+	-	-	-	+	+	-	-	-	+
8996	-	-	-	-	+	+	+	+	+	+	+	+	+	+	+/-	+/-	+/-	+/-	+/-	+/-	+	+	+	+	+	+

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Mammals	#Equidae (Horse)
#Host Body-Site	#Organ	#Skin, Nail, Hair

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
8996	skin of horse
49912	Horse skin	Belgium	BEL	Europe
119126	Animal, Horse, skin

Taxonmaps

69479

Global distribution of 16S sequence AB009939 (>99% sequence identity) for Staphylococcus from Microbeatlas

Aquatic Samples	209
Soil Samples	295
Animal Samples	4104
Plant Samples	151
Total Samples	4759

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
8996	1	Risk group (German classification) According to TRBA 466
119126	1	Risk group (French classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
124043	ASM1672530v1 assembly for Staphylococcus equorum FDAARGOS_1149	complete	GCA_016725305	246432.121		246432	97.22
124043	ASM2902496v1 assembly for Staphylococcus equorum DSM 20674	complete	GCA_029024965	246432.214		246432	96.98
66792	54984_E01 assembly for Staphylococcus equorum NCTC12414	contig	GCA_900458565	246432.90	8052611627	246432	76.51
66792	ASM397051v1 assembly for Staphylococcus equorum subsp. equorum NCTC 12414	scaffold	GCA_003970515	70258.7		29383	46.33

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
20218	Staphylococcus equorum 16S ribosomal RNA gene, partial sequence	AF041363	938	246432
20218	Staphylococcus equorum subsp. equorum strain DSM 20674 16S ribosomal RNA gene, partial sequence	AY688054	464	29383
20218	S.equorum gene for 16S ribosomal RNA	Z26895	771	29383
8996	Staphylococcus equorum rrn gene for 16S ribosomal RNA	AB009939	1494	246432
124043	Staphylococcus equorum strain ATCC 43958 16S ribosomal RNA gene, partial sequence.	MN840040	1393	246432

GC content

8996

GC-content (mol%)34.7

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM1672530v1 assembly for Staphylococcus equorum FDAARGOS_1149
BV-BRC: 246432.121

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	90.79	no
125439	gram_stain	BacteriaNetⓘ	positive	58.87	no
125439	spore_formation	BacteriaNetⓘ	no	72.08	no
125439	motility	BacteriaNetⓘ	no	66.24	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Staphylococcus equorum strain FDAARGOS_1149 strain Not applicable
PATRIC: 246432.121

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	78.45	no
125438	anaerobic	anaerobicⓘ	no	98.47	yes
125438	spore-forming	spore-formingⓘ	no	71.80	no
125438	thermophilic	thermophileⓘ	no	95.50	yes
125438	aerobic	aerobicⓘ	yes	73.51	yes
125438	flagellated	motile2+ⓘ	no	80.36	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Lactoferrin-Derived Peptides as a Control Strategy against Skinborne Staphylococcal Biofilms.	Quintieri L, Caputo L, Monaci L, Cavalluzzi MM, Denora N.	Biomedicines	10.3390/biomedicines8090323	2020
Phylogeny	Comparative study using various methods for identification of Staphylococcus species in clinical specimens.	Layer F, Ghebremedhin B, Moder KA, Konig W, Konig B.	J Clin Microbiol	10.1128/jcm.00226-06	2006
Phylogeny	Bacterial community structure and location in Stilton cheese.	Ercolini D, Hill PJ, Dodd CE.	Appl Environ Microbiol	10.1128/aem.69.6.3540-3548.2003	2003
	Species identification by MALDI-TOF MS and gap PCR-RFLP of non-aureus Staphylococcus, Mammaliicoccus, and Streptococcus spp. associated with sheep and goat mastitis.	Rosa NM, Penati M, Fusar-Poli S, Addis MF, Tola S.	Vet Res	10.1186/s13567-022-01102-4	2022
Phylogeny	Identification of Staphylococcus spp. by PCR-restriction fragment length polymorphism of gap gene.	Yugueros J, Temprano A, Sanchez M, Luengo JM, Naharro G.	J Clin Microbiol	10.1128/jcm.39.10.3693-3695.2001	2001
Phylogeny	A 16S rRNA Gene and Draft Genome Database for the Murine Oral Bacterial Community.	Joseph S, Aduse-Opoku J, Hashim A, Hanski E, Streich R, Knowles SCL, Pedersen AB, Wade WG, Curtis MA.	mSystems	10.1128/msystems.01222-20	2021
Phylogeny	Characterization of intestinal microbiota and response to dietary virginiamycin supplementation in the broiler chicken.	Dumonceaux TJ, Hill JE, Hemmingsen SM, Van Kessel AG.	Appl Environ Microbiol	10.1128/aem.72.4.2815-2823.2006	2006
Enzymology	Development of a rapid PCR assay specific for Staphylococcus saprophyticus and application to direct detection from urine samples.	Martineau F, Picard FJ, Menard C, Roy PH, Ouellette M, Bergeron MG.	J Clin Microbiol	10.1128/jcm.38.9.3280-3284.2000	2000
Phylogeny	Development of a PCR assay for identification of staphylococci at genus and species levels.	Martineau F, Picard FJ, Ke D, Paradis S, Roy PH, Ouellette M, Bergeron MG.	J Clin Microbiol	10.1128/jcm.39.7.2541-2547.2001	2001
Phylogeny	Rapid and accurate species-level identification of coagulase-negative staphylococci by using the sodA gene as a target.	Poyart C, Quesne G, Boumaila C, Trieu-Cuot P.	J Clin Microbiol	10.1128/jcm.39.12.4296-4301.2001	2001
Phylogeny	Identification of Staphylococcus species and subspecies by the chaperonin 60 gene identification method and reverse checkerboard hybridization.	Goh SH, Santucci Z, Kloos WE, Faltyn M, George CG, Driedger D, Hemmingsen SM.	J Clin Microbiol	10.1128/jcm.35.12.3116-3121.1997	1997
Genetics	Genomic Characterization of Marine Staphylococcus shinii Strain SC-M1C: Potential Genetic Adaptations and Ecological Role	El Samak M, Lotfy H, Sedeek A, Mohamed Y, Solyman S.	Microorganisms		2025
	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
Enzymology	A robotic DNA purification protocol and real-time PCR for the detection of Enterobacter sakazakii in powdered infant formulae.	Derzelle S, Dilasser F.	BMC Microbiol	10.1186/1471-2180-6-100	2006
Phylogeny	A proposal to unify two subspecies of Staphylococcus equorum: Staphylococcus equorum subsp. equorum and Staphylococcus equorum subsp. linens.	Jeong DW, Kim HR, Han S, Jeon CO, Lee JH	Antonie Van Leeuwenhoek	10.1007/s10482-013-0025-z	2013

References

#8996	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 20674
#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 )
#20218	Verslyppe, B., De Smet, W., De Baets, B., De Vos, P., Dawyndt P.: StrainInfo introduces electronic passports for microorganisms.. Syst Appl Microbiol. 37: 42 - 50 2014 ( DOI 10.1016/j.syapm.2013.11.002 , PubMed 24321274 )
#36422	; Curators of the CIP;
#49912	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 30109
#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 .
#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 .
#119126	Collection of Institut Pasteur ; Curators of the CIP; CIP 103502
#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 equorum (DSM 20674, ATCC 43958, CCUG 30109)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Murein

Metabolite utilization

Antibiotic resistance

Metabolite production

Metabolite tests

Enzymes

API ID32STA

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_016725305

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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