Prevotella scopos (DSM 22613, CCUG 57945, W2052)

Name: Prevotella scopos (DSM 22613, CCUG 57945, W2052)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 12568

Type strain

Strain Designation W2052

Culture col. no. DSM 22613 CCUG 57945 W2052 JCM 17725

NCBI tax ID(s) 1236518 589437

Special Collections DSMZ CCUG JCM

History <- J. Downes, King's College London, United Kingdom; W2052 CCUG 57945 <-- J. Downes <-- W. Wade W2052.

Links

Prevotella scopos W2052 is an anaerobe bacterium that was isolated from exudate associated with a failing dental implant.

anaerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 403834

JCM 17725,DSM 22613,CCUG 57945

@ref 20215

Last LPSN update 2026-02-09 11:20:52

Domain Bacteria

Phylum Bacteroidota

Class Bacteroidia

Order Bacteroidales

Family Prevotellaceae

Genus Prevotella

Species Prevotella scopos

Full scientific name Prevotella scopos Downes and Wade 2011

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	99.8
125438	negative	96.234

Colony morphology

@ref	Incubation period
16432	3-7 days
61532	2 days

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
16432	CHOPPED MEAT MEDIUM WITH CARBOHYDRATES (DSMZ Medium 110)		Medium recipe at MediaDive	Name: CHOPPED MEAT MEDIUM WITH CARBOHYDRATES (DSMZ Medium 110) Composition: Ground beef 500.0 g/l Casitone 30.0 g/l Agar 15.0 g/l K2HPO4 5.0 g/l Yeast extract 5.0 g/l D-Glucose 4.0 g/l Starch 1.0 g/l Maltose 1.0 g/l Cellobiose 1.0 g/l L-Cysteine HCl 0.5 g/l Ethanol 0.19 g/l Vitamin K3 0.05 g/l Hemin 0.005 g/l Sodium resazurin 0.0005 g/l Vitamin K1 NaOH Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
16432	positive	growth	37
61532	positive	growth	37
67770	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
16432	anaerobe
61532	anaerobe
125438	anaerobe	90.403

Spore formation

@ref	Spore formation	Confidence
125439		99.7
125438		92.472

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68380	29016 ChEBI	arginine	+	hydrolysis	from API rID32A
68367	17057 ChEBI	cellobiose	-	builds acid from	from API 20A
68367	17634 ChEBI	D-glucose	+	builds acid from	from API 20A
68367	16899 ChEBI	D-mannitol	-	builds acid from	from API 20A
68380	16024 ChEBI	D-mannose	-	fermentation	from API rID32A
68367	16024 ChEBI	D-mannose	+	builds acid from	from API 20A
68367	65327 ChEBI	D-xylose	-	builds acid from	from API 20A
68367	4853 ChEBI	esculin	-	hydrolysis	from API 20A
68367	5291 ChEBI	gelatin	+	hydrolysis	from API 20A
68367	17754 ChEBI	glycerol	-	builds acid from	from API 20A
68367	30849 ChEBI	L-arabinose	-	builds acid from	from API 20A
68380	29985 ChEBI	L-glutamate	-	degradation	from API rID32A
68367	62345 ChEBI	L-rhamnose	-	builds acid from	from API 20A
68367	17716 ChEBI	lactose	+	builds acid from	from API 20A
68367	17306 ChEBI	maltose	+	builds acid from	from API 20A
68367	6731 ChEBI	melezitose	-	builds acid from	from API 20A
68380	17632 ChEBI	nitrate	-	reduction	from API rID32A
68380	16634 ChEBI	raffinose	-	fermentation	from API rID32A
68367	16634 ChEBI	raffinose	+	builds acid from	from API 20A
68367	17814 ChEBI	salicin	-	builds acid from	from API 20A
68367	30911 ChEBI	sorbitol	-	builds acid from	from API 20A
68367	17992 ChEBI	sucrose	+	builds acid from	from API 20A
68367	27082 ChEBI	trehalose	-	builds acid from	from API 20A
68380	27897 ChEBI	tryptophan	-	energy source	from API rID32A
68380	16199 ChEBI	urea	-	hydrolysis	from API rID32A
68367	16199 ChEBI	urea	-	hydrolysis	from API 20A

Metabolite production

@ref	Chebi-ID	Metabolite	Production
68380	35581 ChEBI	indole		from API rID32A

Metabolite tests

@ref	Chebi-ID	Metabolite	Indole test
68380	35581 ChEBI	indole	-	from API rID32A

Enzymes

@ref	Value	Activity	Ec
68380	alanine arylamidase	+	3.4.11.2	from API rID32A
68380	alkaline phosphatase	+	3.1.3.1	from API rID32A
68380	alpha-arabinosidase	-	3.2.1.55	from API rID32A
68380	alpha-fucosidase	+	3.2.1.51	from API rID32A
68380	alpha-galactosidase	-	3.2.1.22	from API rID32A
68380	alpha-glucosidase	-	3.2.1.20	from API rID32A
68380	arginine dihydrolase	+	3.5.3.6	from API rID32A
68380	beta-galactosidase	-	3.2.1.23	from API rID32A
68380	beta-Galactosidase 6-phosphate	-		from API rID32A
68380	beta-glucosidase	-	3.2.1.21	from API rID32A
68367	beta-glucosidase	-	3.2.1.21	from API 20A
68380	beta-glucuronidase	-	3.2.1.31	from API rID32A
68367	gelatinase	+		from API 20A
68380	glutamate decarboxylase	-	4.1.1.15	from API rID32A
68380	glutamyl-glutamate arylamidase	-		from API rID32A
68380	glycin arylamidase	-		from API rID32A
68380	histidine arylamidase	-		from API rID32A
68380	L-arginine arylamidase	+		from API rID32A
68380	leucine arylamidase	-	3.4.11.1	from API rID32A
68380	leucyl glycin arylamidase	+	3.4.11.1	from API rID32A
68380	N-acetyl-beta-glucosaminidase	-	3.2.1.52	from API rID32A
68380	phenylalanine arylamidase	-		from API rID32A
68380	proline-arylamidase	-	3.4.11.5	from API rID32A
68380	pyrrolidonyl arylamidase	-	3.4.19.3	from API rID32A
68380	serine arylamidase	-		from API rID32A
68380	tryptophan deaminase	-	4.1.99.1	from API rID32A
68380	tyrosine arylamidase	-		from API rID32A
68380	urease	-	3.5.1.5	from API rID32A
68367	urease	-	3.5.1.5	from API 20A

API 20A

@ref	IND	URE	GLU	MAN	LAC	SAC	MAL	SAL	XYL	ARA	GEL	ESC	GLY	CEL	MNE	MLZ	RAF	SOR	RHA	TRE	CAT	Spores presentSPOR	GramGRAM	Morphology coccus="+" rod="-"COCC
16432	not determinedn.d.	-	+	-	+	+	+	-	-	-	+	-	-	-	+	-	+	-	-	-	not determinedn.d.	not determinedn.d.	not determinedn.d.	not determinedn.d.

API rID32A

@ref	URE	ADH (Arg)	alpha GAL	beta GAL	beta-Galactosidase 6-phosphatebeta GP	alpha GLU	beta GLU	alpha ARA	beta GUR	beta-N-Acetyl-beta-glucosaminidasebeta NAG	MNE	RAF	GDC	alpha FUC	Reduction of nitrateNIT	IND	PAL	L-arginine arylamidaseArgA	ProA	LGA	Phenylalanine arylamidasePheA	Leucine arylamidaseLeuA	PyrA	Tyrosine arylamidaseTyrA	Alanine arylamidaseAlaA	Glycin arylamidaseGlyA	Histidine arylamidaseHisA	Glutamyl-glutamate arylamidaseGGA	Serine arylamidaseSerA
16432	-	+	-	-	-	-	-	-	-	-	-	-	-	+	-	-	+	+	-	+	-	-	-	-	+	-	-	-	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host Body-Site	#Oral cavity and airways	#Tooth
#Host Body Product	#Fluids	-

Isolation

@ref	Sample type	Sampling date	Country	Country ISO 3 Code	Continent
16432	exudate associated with a failing dental implant		United Kingdom	GBR	Europe
61532	Human oral cavity,dental implant	2000	United Kingdom	GBR	Europe
67770	Human oral cavity

Taxonmaps

69479

Global distribution of 16S sequence FJ545434 (>99% sequence identity) for Prevotella scopos subclade from Microbeatlas

Aquatic Samples	484
Soil Samples	331
Animal Samples	32853
Plant Samples	88
Total Samples	33756

Interaction and safety

Risk assessment

@ref	Pathogenicity human	Biosafety level	Biosafety level comment
16432	yes, in single cases	1	Risk group (German classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM1812778v1 assembly for Prevotella scopos JCM 17725 W2052	complete	GCA_018127785	1236518.39		1236518	98.17
66792	ASM168335v1 assembly for Prevotella scopos JCM 17725 W2052	chromosome	GCA_001683355		2721755485	1236518	86.34
66792	IMG-taxon 2695420955 annotated assembly for Prevotella scopos JCM 17725 DSM 22613	scaffold	GCA_900129535	1236518.7	2695420955	1236518	62.4
66792	ASM61428v1 assembly for Prevotella scopos JCM 17725	contig	GCA_000614285	1236518.4	2585427908	1236518	45.26

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
16432	Prevotella scopos JCM 17725 strain W2052 16S ribosomal RNA gene, partial sequence	FJ545434	1453		1236518
67770	Prevotella scopos gene for 16S ribosomal RNA, partial sequence, strain: JCM 17725	AB683253	1492		1236518

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Prevotella scopos JCM 17725
PATRIC: 1236518.6

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative aerobe	63.00	no
125439	gram_stain	BacteriaNetⓘ	negative	99.80	no
125439	motility	BacteriaNetⓘ	no	66.20	no
125439	spore_formation	BacteriaNetⓘ	no	99.70	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Prevotella scopos JCM 17725 W2052
NCBI: GCA_018127785.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	96.23	no
125438	anaerobic	anaerobicⓘ	yes	90.40	yes
125438	aerobic	aerobicⓘ	no	96.84	yes
125438	spore-forming	spore-formingⓘ	no	92.47	no
125438	thermophilic	thermophileⓘ	no	94.72	yes
125438	flagellated	motile2+ⓘ	no	88.00	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Immune status, and not HIV infection or exposure, drives the development of the oral microbiota.	Coker MO, Mongodin EF, El-Kamary SS, Akhigbe P, Obuekwe O, Omoigberale A, Langenberg P, Enwonwu C, Hittle L, Blattner WA, Charurat M.	Sci Rep	10.1038/s41598-020-67487-4	2020
Phylogeny	Prevotella fusca sp. nov. and Prevotella scopos sp. nov., isolated from the human oral cavity.	Downes J, Wade WG	Int J Syst Evol Microbiol	10.1099/ijs.0.023861-0	2010

References

#16432	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 22613
#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 )
#61532	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 57945
#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;
#68367	Automatically annotated from API 20A .
#68380	Automatically annotated from API rID32A .
#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 .
#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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Prevotella scopos (DSM 22613, CCUG 57945, W2052)

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 20A

API rID32A

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_018127785

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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