Staphylococcus croceilyticus (DSM 17225, CCM 8421, CCUG 62728)

Name: Staphylococcus croceilyticus (DSM 17225, CCM 8421, CCUG 62728)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 132149

Type strain

Culture col. no. DSM 17225 CCM 8421 CCUG 62728 MCC 10046

NCBI tax ID(s) 319942

Special Collections DSMZ CCUG

History DSMZ <- D. W. Stroman, Alcon Research Ltd, Forth Worth, USA <- J. Dajcs; MCC 10046

Links

Staphylococcus croceilyticus DSM 17225 is an aerobe bacterium that was isolated from ear swab of a patient suffering from acute otitis externa.

aerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 400296

DSM 17225,CCUG 62728

@ref 20215

Last LPSN update 2026-05-29 08:37:47

Domain Bacteria

Phylum Bacillota

Class Bacilli

Order Caryophanales

Family Staphylococcaceae

Genus Staphylococcus

Species Staphylococcus croceilyticus

Full scientific name Staphylococcus croceilyticus (Pantucek et al. 2013) Madhaiyan et al. 2020

Synonyms (1)

Staphylococcus petrasii subsp. croceilyticus

Morphology

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
23939	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
23939	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

Culture temp

@ref	Growth	Type	Temperature (°C)
23939	positive	growth	37
62892	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
62892	aerobe
125439	obligate aerobe	96.073

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	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

Antibiotic resistance

@ref	ChEBI	Group ID	Metabolite	Is sensitive	Sensitivity 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	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	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
23939	+	+	-	-	+	+	-	+	-	+	-	-	-	-	+	-	-	-	-	+/-	-	+	-	-	-	+

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Infection	#Disease	-
#Infection	#Inflammation	-
#Infection	#Patient	-
#Host Body-Site	#Organ	#Ear

Isolation

@ref	Sample type	Host species	Geographic location	Country	Country ISO 3 Code	Continent	Sampling date
23939	ear swab of a patient suffering from acute otitis externa	Homo sapiens	Texas	USA	USA	North America
62892	Ear swab,acute otitis externa,5 year old male		Texas	USA	USA	North America	1998-05-01

Taxonmaps

69479

Global distribution of 16S sequence AY953148 (>99% sequence identity) for Staphylococcus from Microbeatlas

Aquatic Samples	6
Soil Samples	23
Animal Samples	232
Plant Samples	0
Total Samples	261

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
23939	2	Risk group (German classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM468487v1 assembly for Staphylococcus croceilyticus CCM 8421	scaffold	GCA_004684875	319942.14	8109182086	319942	67.91
66792	ASM290257v1 assembly for Staphylococcus croceilyticus CCUG 62728	scaffold	GCA_002902575	319942.6	2990254493	319942	46.5

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
23939	Staphylococcus petrasii subsp. croceilyticus strain MCC10046 16S ribosomal RNA gene, partial sequence	AY953148	1546		319942
124043	Staphylococcus croceilyticus MCC10046 gene for 16S rRNA, partial sequence.	LC752464	341		319942

GC content

@ref	GC-content (mol%)	Method
23939	35.5	high performance liquid chromatography (HPLC)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM468487v1 assembly for Staphylococcus croceilyticus CCM 8421
BV-BRC: 319942.14

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	gram_stain	BacteriaNetⓘ	positive	54.46	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	96.07	no
125439	motility	BacteriaNetⓘ	no	63.79	no
125439	spore_formation	BacteriaNetⓘ	no	84.68	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Staphylococcus croceilyticus CCM 8421
NCBI: GCA_004684875.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	86.45	no
125438	anaerobic	anaerobicⓘ	no	99.91	yes
125438	aerobic	aerobicⓘ	yes	65.84	no
125438	spore-forming	spore-formingⓘ	no	76.35	no
125438	thermophilic	thermophileⓘ	no	97.00	yes
125438	flagellated	motile2+ⓘ	no	82.55	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 )
#23939	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 17225
#62892	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 62728
#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 .
#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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