Prevotella dentasini (DSM 22229, JCM 15908, NUM 1903)

Name: Prevotella dentasini (DSM 22229, JCM 15908, NUM 1903)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 12565

Type strain

Culture col. no. DSM 22229 JCM 15908 NUM 1903 KCTC 15187

NCBI tax ID(s) 1236509 589537

Special Collections DSMZ JCM KCTC Literature strains

History DSMZ <- M. Hirasawa, Nihon Univ. School; NUM 1903 JCM <-- M. Hirasawa NUM 1903.

Links

Prevotella dentasini DSM 22229 is an anaerobe, Gram-negative, rod-shaped bacterium that was isolated from oral cavity of a donkey.

Gram-negative rod-shaped anaerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 396765

JCM 15908,DSM 22229

@ref 20215

Last LPSN update 2026-05-29 08:27:50

Domain Bacteria

Phylum Bacteroidota

Class Bacteroidia

Order Bacteroidales

Family Prevotellaceae

Genus Prevotella

Species Prevotella dentasini

Full scientific name Prevotella dentasini Takada et al. 2010

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
29614	negative	1.5-2.5 µm	0.6-0.8 µm	rod-shaped
68367				rod-shaped		from API 20A
68367	negative					from API 20A
125438					90
125438	negative				95.758
125439	negative				96.51

Pigmentation

29614

Productionyes

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
16216	COLUMBIA BLOOD AGAR (DSMZ Medium 429)		Medium recipe at MediaDive	Name: COLUMBIA BLOOD AGAR (DSMZ Medium 429) Composition: Horse blood 40.0 g/l Columbia agar base

Culture temp

@ref	Growth	Type	Temperature (°C)
16216	positive	growth	37
29614	positive	growth	37
29614	positive	optimum	37
67770	positive	growth	37

Culture pH

@ref	Ability	Type	PH
29614	positive	optimum	7
29614	positive	growth	7

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
16216	anaerobe
29614	anaerobe
125438	anaerobe	90.204

Spore formation

@ref	Confidence
29614
68367		from API 20A
125438	92.472
125439	99.908

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
29614	17234 ChEBI	glucose	+	carbon source
29614	17754 ChEBI	glycerol	+	carbon source
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
29614	17306 ChEBI	maltose	+	carbon source
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
29614	16634 ChEBI	raffinose	+	carbon source
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
29614	17992 ChEBI	sucrose	+	carbon source
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
68367	27897 ChEBI	tryptophan	+	energy source	from API 20A
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
68367	35581 ChEBI	indole		from API 20A

Metabolite tests

@ref	Chebi-ID	Metabolite	Indole test
68380	35581 ChEBI	indole	+	from API rID32A
68367	35581 ChEBI	indole	+	from API 20A

Enzymes

@ref	Value	Activity	Ec
29614	acid phosphatase	+	3.1.3.2
68380	alanine arylamidase	+	3.4.11.2	from API rID32A
29614	alkaline phosphatase	+	3.1.3.1
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	catalase	-	1.11.1.6	from API 20A
29614	gelatinase	+
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
16216	+	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-

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
16216	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	+	+	-	-	+	-	-	-	-	+	-	-	+	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Mammals	#Equidae (Horse)
#Host Body-Site	#Oral cavity and airways	-

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
16216	oral cavity of a donkey	Japan	JPN	Asia
67770	Oral cavity of donkeys

Taxonmaps

69479

Global distribution of 16S sequence AB477014 (>99% sequence identity) for Prevotella dentasini subclade from Microbeatlas

Aquatic Samples	80
Soil Samples	87
Animal Samples	18481
Plant Samples	54
Total Samples	18702

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
16216	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	Prevotella dentasini JCM 15908	contig		1236509.3		1236509	57
67770	ASM61406v1 assembly for Prevotella dentasini JCM 15908	contig	GCA_000614065	1236509.7	2585427895	1236509	47.72

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20218	Prevotella dentasini gene for 16S ribosomal RNA, partial sequence, strain: JCM 15908	AB547681	1494		1236509
16216	Prevotella dentasini gene for 16S ribosomal RNA, partial sequence	AB477014	1525		1236509

GC content

@ref	GC-content (mol%)	Method
16216	50.2	high performance liquid chromatography (HPLC)
29614	50.2

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM61406v1 assembly for Prevotella dentasini JCM 15908
NCBI: GCA_000614065

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate anaerobe	87.16	no
125439	gram_stain	BacteriaNetⓘ	negative	96.51	no
125439	spore_formation	BacteriaNetⓘ	no	99.91	no
125439	motility	BacteriaNetⓘ	yes	48.08	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Prevotella dentasini JCM 15908
PATRIC: 1236509.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	95.76	yes
125438	anaerobic	anaerobicⓘ	yes	90.20	yes
125438	spore-forming	spore-formingⓘ	no	92.47	yes
125438	aerobic	aerobicⓘ	no	97.03	yes
125438	thermophilic	thermophileⓘ	no	94.61	no
125438	flagellated	motile2+ⓘ	no	90.00	yes

Literature

Topic	Title	Authors	Journal	DOI	Year
	Molecular Alteration Analysis of Human Gut Microbial Composition in Graves' disease Patients.	Ishaq HM, Mohammad IS, Shahzad M, Ma C, Raza MA, Wu X, Guo H, Shi P, Xu J.	Int J Biol Sci	10.7150/ijbs.24151	2018
Phylogeny	Prevotella dentasini sp. nov., a black-pigmented species isolated from the oral cavity of donkeys.	Takada K, Hayashi K, Sato Y, Hirasawa M	Int J Syst Evol Microbiol	10.1099/ijs.0.017020-0	2009

References

#16216	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 22229
#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 )
#26004	IJSEM 1637 2010 ( DOI 10.1099/ijs.0.017020-0 , PubMed 19717577 )
#29614	Barberan A, Caceres Velazquez H, Jones S, Fierer N.: Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information. mSphere 2: 2017 ( DOI 10.1128/mSphere.00237-17 , PubMed 28776041 ) - originally annotated from #26004
#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 dentasini (DSM 22229, JCM 15908, NUM 1903)

Name and taxonomic classification

Morphology

Cell morphology

Pigmentation

Culture and growth conditions

Culture medium

Culture temp

Culture pH

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_000614065

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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