Prevotella baroniae (DSM 16972, CCUG 50418, JCM 13447)

Name: Prevotella baroniae (DSM 16972, CCUG 50418, JCM 13447)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 12541

Type strain

Strain Designation E 9.33

Culture col. no. DSM 16972 CCUG 50418 JCM 13447 E 9.33

NCBI tax ID(s) 1122980 305719

Special Collections DSMZ CCUG JCM Literature strains

History DSMZ <- J. Downes <- W. Wade, strain E 9.33 JCM <-- CCUG 50418 <-- J. Downes E9.33 <-- W. G. Wade E9.33.

Links

Prevotella baroniae E 9.33 is an anaerobe, Gram-negative, ovoid-shaped bacterium that was isolated from Human oral cavity, exodontic infection.

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

Name and taxonomic classification

SI-ID 215260

CCUG 50418,DSM 16972,JCM 13447

@ref 20215

Last LPSN update 2026-05-29 08:27:49

Domain Bacteria

Phylum Bacteroidota

Class Bacteroidia

Order Bacteroidales

Family Prevotellaceae

Genus Prevotella

Species Prevotella baroniae

Full scientific name Prevotella baroniae Downes et al. 2005

Synonyms (1)

Segatella baroniae

BacDive ID	Other strains from **Prevotella baroniae** (1)	Type strain
157179	P. baroniae CCUG 70199

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
31472	negative	1.3 µm	0.6 µm	ovoid-shaped
125438					91
125438	negative				94.328
125439	negative				98.919

Colony morphology

@ref	Incubation period
6587	3-7 days
58859	2 days

Pigmentation

31472

Productionno

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
6587	FASTIDIOUS ANAEROBE AGAR (DSMZ Medium 1203)		Medium recipe at MediaDive	Name: FASTIDIOUS ANAEROBE AGAR (DSMZ Medium 1203) Composition: Horse blood 100.0 g/l Fastidious Anaerobe Agar 45.7 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
6587	positive	growth	35
58859	positive	growth	37
67770	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
6587	anaerobe
31472	anaerobe
58859	anaerobe
125439	obligate anaerobe	97.8

Spore formation

@ref	Spore formation	Confidence
125439		99.968
125438		92.472

Observation

31472

Observationaggregates in clumps

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68380	29016 ChEBI	arginine	-	hydrolysis	from API rID32A
31472	17057 ChEBI	cellobiose	+	carbon source
68380	16024 ChEBI	D-mannose	-	fermentation	from API rID32A
31472	4853 ChEBI	esculin	+	hydrolysis
31472	28757 ChEBI	fructose	+	carbon source
31472	5291 ChEBI	gelatin	+	carbon source
31472	17234 ChEBI	glucose	+	carbon source
68380	29985 ChEBI	L-glutamate	-	degradation	from API rID32A
31472	17716 ChEBI	lactose	+	carbon source
31472	17306 ChEBI	maltose	+	carbon source
31472	37684 ChEBI	mannose	+	carbon source
68380	17632 ChEBI	nitrate	-	reduction	from API rID32A
31472	16634 ChEBI	raffinose	+	carbon source
68380	16634 ChEBI	raffinose	-	fermentation	from API rID32A
31472	17814 ChEBI	salicin	+	carbon source
31472	17992 ChEBI	sucrose	+	carbon source
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
31472	gelatinase	+
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

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
6587	-	-	+	+	-	+	+	-	-	+	-	-	-	+	-	-	+	-	-	+	-	-	-	-	+	-	-	+	-
6587	-	-	+	+	-	+	+	-	-	+	-	-	-	+	-	-	+	-	-	+	-	-	-	-	+	-	not determinedn.d.	not determinedn.d.	not determinedn.d.

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Infection	#Disease	-
#Host	#Human	-
#Host Body-Site	#Oral cavity and airways	#Tooth

Isolation

@ref	Sample type	Host species	Sampling date	Geographic location	Country	Country ISO 3 Code	Continent
6587	Human oral cavity, exodontic infection	Homo sapiens		London	United Kingdom	GBR	Europe
58859	Human oral cavity,endodontic infection	Homo sapiens	2000-03-01	London	United Kingdom	GBR	Europe
67770	Human oral cavity	Homo sapiens

Taxonmaps

69479

Global distribution of 16S sequence FJ940882 (>99% sequence identity) for Prevotella baroniae subclade from Microbeatlas

Aquatic Samples	205
Soil Samples	346
Animal Samples	16607
Plant Samples	127
Total Samples	17285

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
6587	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
67770	ASM42658v1 assembly for Segatella baroniae DSM 16972 = JCM 13447	scaffold	GCA_000426585	1122980.3	2526164515	1122980	69.51
67770	ASM61356v1 assembly for Segatella baroniae DSM 16972 = JCM 13447	contig	GCA_000613565	1235823.4	2585427893	1122980	36.85

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
20218	Prevotella baroniae strain DSM 16972 16S ribosomal RNA gene, partial sequence	FJ940882	1455	305719
6587	Prevotella baroniae 16S ribosomal RNA gene, partial sequence	AY840553	1455	305719
67770	Prevotella baroniae gene for 16S ribosomal RNA, partial sequence, strain: JCM 13447	AB547671	1494	305719

GC content

@ref	GC-content (mol%)	Method
6587	52	high performance liquid chromatography (HPLC)
31472	52
6587	53.0	sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM42658v1 assembly for Segatella baroniae DSM 16972 = JCM 13447
NCBI: GCA_000426585

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate anaerobe	97.80	no
125439	gram_stain	BacteriaNetⓘ	negative	98.92	no
125439	motility	BacteriaNetⓘ	no	70.86	no
125439	spore_formation	BacteriaNetⓘ	no	99.97	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Prevotella baroniae DSM 16972
PATRIC: 1122980.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	94.33	yes
125438	anaerobic	anaerobicⓘ	yes	89.79	yes
125438	spore-forming	spore-formingⓘ	no	92.47	no
125438	aerobic	aerobicⓘ	no	95.14	yes
125438	thermophilic	thermophileⓘ	no	96.78	yes
125438	flagellated	motile2+ⓘ	no	91.00	yes

Literature

Topic	Title	Authors	Journal	DOI	Year
Pathogenicity	Metronidazole resistance in Prevotella spp. and description of a new nim gene in Prevotella baroniae.	Alauzet C, Mory F, Teyssier C, Hallage H, Carlier JP, Grollier G, Lozniewski A	Antimicrob Agents Chemother	10.1128/AAC.01003-09	2009
Phylogeny	Prevotella marshii sp. nov. and Prevotella baroniae sp. nov., isolated from the human oral cavity.	Downes J, Sutcliffe I, Tanner ACR, Wade WG	Int J Syst Evol Microbiol	10.1099/ijs.0.63634-0	2005

References

#6587	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 16972
#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 )
#27772	IJSEM 1551 2005 ( DOI 10.1099/ijs.0.63634-0 , PubMed 16014480 )
#31472	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 #27772
#58859	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 50418
#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 )

Content

About us

Prevotella baroniae (DSM 16972, CCUG 50418, JCM 13447)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Pigmentation

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_000426585

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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