Prevotella denticola (DSM 20614, ATCC 35308, NCDO 2352)

Name: Prevotella denticola (DSM 20614, ATCC 35308, NCDO 2352)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 12529

Type strain

Strain Designation 1210

Culture col. no. DSM 20614 ATCC 35308 NCDO 2352 CCUG 29542 JCM 13449 3 more

NCBI tax ID(s) 1122982 28129

Special Collections DSMZ CCUG JCM CIP

History <- NCDO <- S.S. Socransky, 1210 CCUG 29542 <-- ATCC 35308 <-- NCDO 2352 <-- H. N. Shah 1210 <-- S. S. Socransky 1210.

Links

Prevotella denticola 1210 is an anaerobe, mesophilic human pathogen that was isolated from dental plaque.

anaerobe mesophilic human pathogen genome sequence 16S sequence

Name and taxonomic classification

SI-ID 40987

ATCC 35308,NCDO 2352,CCUG 15558,NCFB 2352,DSM 20614,CCUG 29542,CIP 104478,BCRC 14478,CCRC 14478,NCTC 13067,JCM 13449

@ref 20215

Last LPSN update 2026-02-09 11:20:51

Domain Bacteria

Phylum Bacteroidota

Class Bacteroidia

Order Bacteroidales

Family Prevotellaceae

Genus Prevotella

Species Prevotella denticola

Full scientific name Prevotella denticola (Shah and Collins 1982) Shah and Collins 1990

Synonyms (1)

Bacteroides denticola

BacDive ID	Other strains from **Prevotella denticola** (3)	Type strain
146495	P. denticola CCUG 31317
152169	P. denticola CCUG 45961
165807	P. denticola JCM 8528, ATCC 33185, BCRC 14430

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	99.9
125438	negative	94.712

Colony morphology

@ref	Type of hemolysis	Hemolysis ability	Incubation period
8962	alpha/beta	1	2-3 days

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
8962	PYG MEDIUM (MODIFIED) (DSMZ Medium 104)		Medium recipe at MediaDive	Name: PYG MEDIUM (modified) (DSMZ Medium 104) Composition: Yeast extract 10.0 g/l Peptone 5.0 g/l Trypticase peptone 5.0 g/l Beef extract 5.0 g/l Glucose 5.0 g/l L-Cysteine HCl x H2O 0.5 g/l NaHCO3 0.4 g/l NaCl 0.08 g/l K2HPO4 0.04 g/l KH2PO4 0.04 g/l MgSO4 x 7 H2O 0.02 g/l CaCl2 x 2 H2O 0.01 g/l Hemin 0.005 g/l Ethanol 0.0038 g/l Resazurin 0.001 g/l Tween 80 Vitamin K1 NaOH Distilled water
8962	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)	Range
8962	positive	growth	37	mesophilic
49652	positive	growth	37	mesophilic
67770	positive	growth	37	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
8962	anaerobe
49652	anaerobe
125438	anaerobe	91.878
125439	anaerobe	95.2

Spore formation

@ref	Spore formation	Confidence
125439		99.7
125438		91.472

Observation

67770

Observationquinones: MK-11, MK-12

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68380	29016 ChEBI	arginine	-	hydrolysis	from API rID32A
68380	16024 ChEBI	D-mannose	-	fermentation	from API rID32A
68380	29985 ChEBI	L-glutamate	-	degradation	from API rID32A
68380	17632 ChEBI	nitrate	-	reduction	from API rID32A
68380	16634 ChEBI	raffinose	-	fermentation	from API rID32A
68380	27897 ChEBI	tryptophan	-	energy source	from API rID32A
68380	16199 ChEBI	urea	-	hydrolysis	from API rID32A

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
68380	beta-glucuronidase	-	3.2.1.31	from API rID32A
68380	glutamate decarboxylase	-	4.1.1.15	from API rID32A
68380	glycin arylamidase	-		from API rID32A
68380	histidine 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

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
8962	-	-	+	+	+	+	-	-	-	+	-	-	-	+	-	-	+	+/-	-	+	-	-	-	-	+	-	-	-	-
8962	-	-	+	+	+	+	-	-	-	+	-	-	-	+	-	-	+	-	-	+	-	-	-	-	+	-	-	+/-	-
8962	-	-	+	+	+	+	-	-	-	+	-	-	-	+	-	-	+	+/-	-	+	-	-	-	-	+	-	-	+	-
8962	-	-	+	+	+	+	-	-	-	+	-	-	-	+	-	-	+	+/-	-	+	-	-	-	-	+	-	-	+	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host Body-Site	#Oral cavity and airways	#Plaque

Isolation

@ref	Sample type
8962	dental plaque
49652	Dental plaque
67770	Oral cavity

Taxonmaps

69479

Global distribution of 16S sequence AY323524 (>99% sequence identity) for Prevotella denticola subclade from Microbeatlas

Aquatic Samples	609
Soil Samples	428
Animal Samples	43085
Plant Samples	330
Total Samples	44452

Interaction and safety

Risk assessment

@ref	Pathogenicity human	Pathogenicity animal	Biosafety level	Biosafety level comment
8962			2	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	52295_A01 assembly for Prevotella denticola NCTC13067	contig	GCA_900454835	28129.12	2906457805	28129	77.47
66792	ASM42120v1 assembly for Prevotella denticola DSM 20614 = JCM 13449	scaffold	GCA_000421205	1122982.4	2526164516	1122982	66.6
66792	ASM61358v1 assembly for Prevotella denticola DSM 20614 = JCM 13449	contig	GCA_000613585	1236487.4	2585427896	1122982	27.76

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
20218	Prevotella denticola 16S ribosomal RNA gene, partial sequence	AY323524	1506	28129
20218	Prevotella denticola ATCC 35308 16S ribosomal RNA gene, complete sequence	L16467	1474	28129
8962	Prevotella denticola gene for 16S ribosomal RNA, partial sequence, strain: JCM 13449	AB547679	1492	28129

GC content

@ref	GC-content (mol%)	Method
8962	51.0
8962	50.1	sequence analysis
67770	51

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Prevotella denticola DSM 20614 = JCM 13449
NCBI: GCA_000421205

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	95.20	no
125439	gram_stain	BacteriaNetⓘ	negative	99.90	no
125439	motility	BacteriaNetⓘ	no	59.40	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 denticola DSM 20614 = JCM 13449 DSM 20614
NCBI: GCA_000421205.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	94.71	no
125438	anaerobic	anaerobicⓘ	yes	91.88	yes
125438	aerobic	aerobicⓘ	no	96.67	yes
125438	spore-forming	spore-formingⓘ	no	91.47	no
125438	thermophilic	thermophileⓘ	no	94.23	yes
125438	flagellated	motile2+ⓘ	no	89.00	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Molecular profiling of oral microbiota in jawbone samples of bisphosphonate-related osteonecrosis of the jaw.	Wei X, Pushalkar S, Estilo C, Wong C, Farooki A, Fornier M, Bohle G, Huryn J, Li Y, Doty S, Saxena D.	Oral Dis	10.1111/j.1601-0825.2012.01916.x	2012
	Microbial Biofilm Decontamination on Dental Implant Surfaces: A Mini Review.	Dhaliwal JS, Abd Rahman NA, Ming LC, Dhaliwal SKS, Knights J, Albuquerque Junior RF.	Front Cell Infect Microbiol	10.3389/fcimb.2021.736186	2021
Enzymology	pH gradient and distribution of streptococci, lactobacilli, prevotellae, and fusobacteria in carious dentine.	Kianoush N, Nguyen KA, Browne GV, Simonian M, Hunter N.	Clin Oral Investig	10.1007/s00784-013-1009-0	2014
Enzymology	Detection of unculturable bacteria in periodontal health and disease by PCR.	Harper-Owen R, Dymock D, Booth V, Weightman AJ, Wade WG.	J Clin Microbiol	10.1128/jcm.37.5.1469-1473.1999	1999
Enzymology	Lactobacilli are prominent in the initial stages of polymicrobial infection of dental pulp.	Nadkarni MA, Simonian MR, Harty DW, Zoellner H, Jacques NA, Hunter N.	J Clin Microbiol	10.1128/jcm.01912-09	2010
	Evaluation of gel-pad oligonucleotide microarray technology by using artificial neural networks.	Pozhitkov A, Chernov B, Yershov G, Noble PA.	Appl Environ Microbiol	10.1128/aem.71.12.8663-8676.2005	2005
Enzymology	High levels of Gardnerella vaginalis detected with an oligonucleotide probe combined with elevated pH as a diagnostic indicator of bacterial vaginosis.	Sheiness D, Dix K, Watanabe S, Hillier SL.	J Clin Microbiol	10.1128/jcm.30.3.642-648.1992	1992
	A persistent and diverse airway microbiota present during chronic obstructive pulmonary disease exacerbations.	Huang YJ, Kim E, Cox MJ, Brodie EL, Brown R, Wiener-Kronish JP, Lynch SV.	OMICS	10.1089/omi.2009.0100	2010
	Analysis of the IgG immune response to Treponema phagedenis-like spirochetes in individual dairy cattle with papillomatous digital dermatitis.	Moe KK, Yano T, Misumi K, Kubota C, Yamazaki W, Muguruma M, Misawa N.	Clin Vaccine Immunol	10.1128/cvi.00464-09	2010
Pathogenicity	Mechanisms of reduced susceptibility and genotypic prediction of antibiotic resistance in Prevotella isolated from cystic fibrosis (CF) and non-CF patients.	Sherrard LJ, Schaible B, Graham KA, McGrath SJ, McIlreavey L, Hatch J, Wolfgang MC, Muhlebach MS, Gilpin DF, Schneiders T, Elborn JS, Tunney MM.	J Antimicrob Chemother	10.1093/jac/dku192	2014
Phylogeny	Tenacibaculum adriaticum sp. nov., from a bryozoan in the Adriatic Sea.	Heindl H, Wiese J, Imhoff JF.	Int J Syst Evol Microbiol	10.1099/ijs.0.65383-0	2008

References

#8962	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 20614
#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 )
#49652	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 29542
#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;
#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 denticola (DSM 20614, ATCC 35308, NCDO 2352)

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 rID32A

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_900454835

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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