Prevotella veroralis (DSM 19559, ATCC 33779, CCUG 15422)

Name: Prevotella veroralis (DSM 19559, ATCC 33779, CCUG 15422)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 12554

Type strain

Culture col. no. DSM 19559 ATCC 33779 CCUG 15422 JCM 6290 VPI D22A-7 1 more

NCBI tax ID(s) 1122993 28137

Special Collections DSMZ CCUG JCM

History DSMZ <- JCM/RIKEN <- J. Watabe <- T. Mitsuoka <- W. E. C. Moore; VPI D22A-7 JCM <-- J. Watabe <-- T. Mitsuoka <-- W. E. C. Moore VPI D22A-7.

Links

Prevotella veroralis DSM 19559 is an anaerobe bacterium that was isolated from human oral cavity.

anaerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 46766

ATCC 33779,CCUG 15422,JCM 6290,CCRC 14442,BCRC 14442,DSM 19559

@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 veroralis

Full scientific name Prevotella veroralis (Watabe et al. 1983) Shah and Collins 1990

Synonyms (1)

Bacteroides veroralis

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	94.183
125438	negative	95.066

Colony morphology

46252

Incubation period1-2 days

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
8175	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
8175	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)
8175	positive	growth	37
46252	positive	growth	37
67770	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
8175	anaerobe
46252	anaerobe
125438	anaerobe	92.105

Spore formation

@ref	Spore formation	Confidence
125439		99.564
125438		90.472

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
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
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
8175	-	-	+	-	+	+	+	-	-	-	-	+	-	-	+	-	+	-	-	-	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
8175	-	-	-	+	+	+	-	-	-	+	-	-	-	-	-	-	+	-	-	+	-	-	-	-	+	-	-	-	-

Isolation, sampling and environmental information

Isolation source categories

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

Isolation

@ref	Sample type	Host species
8175	human oral cavity	Homo sapiens
46252	Human oral cavity	Homo sapiens
67770	Human oral cavity	Homo sapiens

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
8175	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
67770	ASM37762v1 assembly for Prevotella veroralis DSM 19559 = JCM 6290	scaffold	GCA_000377625	1122993.3	2517572238	1122993	72.58
67770	ASM61332v1 assembly for Prevotella veroralis DSM 19559 = JCM 6290	contig	GCA_000613325	1234673.5	2585427910	1122993	54.42

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
20218	Prevotella veroralis gene for 16S ribosomal RNA, partial sequence, strain: JCM 6290	AB547707	1492	28137
20218	Prevotella veroralis strain ATCC 33779 16S ribosomal RNA gene, partial sequence	AY836507	1453	28137
20218	Prevotella veroralis ATCC 33779 16S ribosomal RNA gene, complete sequence	L16473	1478	28137

GC content

@ref	GC-content (mol%)	Method
67770	42.1	thermal denaturation, midpoint method (Tm)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM37762v1 assembly for Prevotella veroralis DSM 19559 = JCM 6290
NCBI: GCA_000377625

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate anaerobe	58.50	no
125439	motility	BacteriaNetⓘ	no	81.69	no
125439	gram_stain	BacteriaNetⓘ	negative	94.18	no
125439	spore_formation	BacteriaNetⓘ	no	99.56	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Prevotella veroralis DSM 19559
PATRIC: 1122993.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	95.07	no
125438	anaerobic	anaerobicⓘ	yes	92.11	yes
125438	spore-forming	spore-formingⓘ	no	90.47	no
125438	aerobic	aerobicⓘ	no	96.31	no
125438	thermophilic	thermophileⓘ	no	94.23	yes
125438	flagellated	motile2+ⓘ	no	88.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Evaluation of co-circulating pathogens and microbiome from COVID-19 infections.	Thissen JB, Morrison MD, Mulakken N, Nelson WC, Daum C, Messenger S, Wadford DA, Jaing C.	PLoS One	10.1371/journal.pone.0278543	2022
	Characterization of inositol lipid metabolism in gut-associated Bacteroidetes.	Heaver SL, Le HH, Tang P, Basle A, Mirretta Barone C, Vu DL, Waters JL, Marles-Wright J, Johnson EL, Campopiano DJ, Ley RE.	Nat Microbiol	10.1038/s41564-022-01152-6	2022
Enzymology	Use of the genomic subtractive hybridization technique to develop a real-time PCR assay for quantitative detection of Prevotella spp. in oral biofilm samples.	Nagashima S, Yoshida A, Suzuki N, Ansai T, Takehara T.	J Clin Microbiol	10.1128/jcm.43.6.2948-2951.2005	2005
Enzymology	Loop-mediated isothermal amplification method for rapid detection of the periodontopathic bacteria Porphyromonas gingivalis, Tannerella forsythia, and Treponema denticola.	Yoshida A, Nagashima S, Ansai T, Tachibana M, Kato H, Watari H, Notomi T, Takehara T.	J Clin Microbiol	10.1128/jcm.43.5.2418-2424.2005	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
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
Genetics	A rare case report of Prevotella lung abscess diagnosed using third-generation metagenomic sequencing.	Wu X, Qi T, Zhang M, Bi J.	J Int Med Res	10.1177/03000605241271757	2024
Pathogenicity	Role of socioeconomic factors and interkingdom crosstalk in the dental plaque microbiome in early childhood caries.	Khan MW, Cruz de Jesus V, Mittermuller BA, Sareen S, Lee V, Schroth RJ, Hu P, Chelikani P.	Cell Rep	10.1016/j.celrep.2024.114635	2024
	Decoding anaerobes: a comprehensive evaluation of MALDI-TOF Sirius and VITEK MS PRIME in clinical settings.	Rocca MF, Etcheverry P, D Angiolo G, Prieto M.	Microbiol Spectr	10.1128/spectrum.01870-25	2025
	Captive environments reshape the compositions of carbohydrate active enzymes and virulence factors in wolf gut microbiome.	Wang X, Shang Y, Xing Y, Chen Y, Wu X, Zhang H.	BMC Microbiol	10.1186/s12866-025-03863-2	2025
	Causal Association Between Microbiome and Oral-Oropharyngeal Cancer: A Mendelian Randomization Study.	Li Z, Huang X, Wang Q, Gopinath D.	Int Dent J	10.1016/j.identj.2025.01.017	2025
	Oral microbiome between patients with non-obstructive and obstructive hypertrophic cardiomyopathy.	Qin Q, Zhu Y, Yang L, Guo R, Song L, Wang D, Li W.	Chin Med J (Engl)	10.1097/cm9.0000000000003777	2025
	Comparative analysis of the clinical characteristic and lung microbiota in adult and elderly patients with pulmonary tuberculosis	Wu S, Wang S, Wu Z, Chen M, Chen X, Lei D, Peng C.	Sci Rep		2025
	Advances in intestinal flora for the development, diagnosis and treatment of CRC.	Hu R, Qiu Y, Liu DA, Chen S, Chen K, Xu Y, Yuan J, Zhang X, Li X.	Front Microbiol	10.3389/fmicb.2025.1495274	2025
Phylogeny	Comparative analysis of bacterial abundance and diversity in tumour tissue of oral squamous cell carcinoma and non-tumour tissue: insights from a systematic review of 16S ribosomal RNA sequencing.	Mohapatra S, Panda S, Mohanty N, Mishra BP.	BMC Oral Health	10.1186/s12903-025-05941-3	2025
	Oral microbial dysbiosis in patients with oral cavity cancers.	Unlu O, Demirci M, Paksoy T, Eden AB, Tansuker HD, Dalmizrak A, Aktan C, Senel F, Sunter AV, Yigit O, Cakir BO, Kantarci A.	Clin Oral Investig	10.1007/s00784-024-05770-8	2024
Genetics	Novel potential biomarkers for predicting childhood caries via metagenomic analysis.	Zhang H, Zheng X, Huang Y, Zou Y, Zhang T, Repo MA, Yin M, You Y, Jie Z, Xu WA.	Front Cell Infect Microbiol	10.3389/fcimb.2025.1522970	2025
	Altered microbiota of the lower respiratory tract and its association with COVID-19 severity analysed by metagenomics and metatranscriptomics.	Wang D, Duan Y, He L, Jiang J, Xian J, Yuan K, Zhang R, Zhang H, Wang J, Li N, Huang M, Hu C, Lu S, Luo Z, Deng T, Zhang Z, Chen B, Li W.	Commun Biol	10.1038/s42003-025-08234-1	2025
	Microbial signatures predictive of short-term prognosis in severe pneumonia.	Huang SS, Qiu JY, Li SP, Ma YQ, He J, Han LN, Jiao LL, Xu C, Mao YM, Zhang YM.	Front Cell Infect Microbiol	10.3389/fcimb.2024.1397717	2024
Phylogeny	Potential Roles of the Free Salivary Microbiome Dysbiosis in Periodontal Diseases.	Diao J, Yuan C, Tong P, Ma Z, Sun X, Zheng S.	Front Cell Infect Microbiol	10.3389/fcimb.2021.711282	2021
	High-Throughput Sequencing Analysis of the Changes in the Salivary Microbiota of Hungarian Young and Adult Subpopulation by an Anthocyanin Chewing Gum and Toothbrush Change.	Skopko B, Paholcsek M, Szilagyi-Racz A, Fauszt P, David P, Stundl L, Varadi J, Kovacs R, Bagyi K, Remenyik J.	Dent J (Basel)	10.3390/dj11020044	2023
	Oral microbiomes of patients with infective endocarditis (IE): a comparative pilot study of IE patients, patients at risk for IE and healthy controls.	Mougeot JC, Beckman M, Paster BJ, Lockhart PB, Bahrani Mougeot F.	J Oral Microbiol	10.1080/20002297.2022.2144614	2023
Pathogenicity	Mucositis and Infection in Hematology Patients.	Blijlevens NMA, de Mooij CEM.	Int J Mol Sci	10.3390/ijms24119592	2023
	Loss of Airway Phylogenetic Diversity Is Associated with Clinical and Pathobiological Markers of Disease Development in Chronic Obstructive Pulmonary Disease.	Opron K, Begley LA, Erb-Downward JR, Li G, Alexis NE, Barjaktarevic I, Barr RG, Bleecker ER, Boucher R, Bowler RP, Christenson SA, Comellas AP, Criner G, Cooper CB, Couper D, Galban CJ, Han MK, Hastie A, Hatt C, Hoffman EA, Kaner RJ, Kesimer M, Krishnan JA, LaFon DC, Martinez FJ, Ortega VE, Peters SP, Paine R, Putcha N, Woodruff PG, Huffnagle GB, Kozik AJ, Curtis JL, Huang YJ, SPIROMICS Investigators.	Am J Respir Crit Care Med	10.1164/rccm.202303-0489oc	2024
	Comparisons of oral, intestinal, and pancreatic bacterial microbiomes in patients with pancreatic cancer and other gastrointestinal diseases.	Chung M, Zhao N, Meier R, Koestler DC, Wu G, de Castillo E, Paster BJ, Charpentier K, Izard J, Kelsey KT, Michaud DS.	J Oral Microbiol	10.1080/20002297.2021.1887680	2021
	Altered gut metabolites and microbiota interactions are implicated in colorectal carcinogenesis and can be non-invasive diagnostic biomarkers.	Coker OO, Liu C, Wu WKK, Wong SH, Jia W, Sung JJY, Yu J.	Microbiome	10.1186/s40168-021-01208-5	2022
	Molecular identification of bacteria on the tongue dorsum of subjects with and without halitosis.	Riggio MP, Lennon A, Rolph HJ, Hodge PJ, Donaldson A, Maxwell AJ, Bagg J.	Oral Dis	10.1111/j.1601-0825.2007.01371.x	2008
Enzymology	The Vaginal Microbiota and Behavioral Factors Associated With Genital Candida albicans Detection in Reproductive-Age Women.	Brown SE, Schwartz JA, Robinson CK, O'Hanlon DE, Bradford LL, He X, Mark KS, Bruno VM, Ravel J, Brotman RM.	Sex Transm Dis	10.1097/olq.0000000000001066	2019
	The microbial community of the cystic fibrosis airway is disrupted in early life.	Renwick J, McNally P, John B, DeSantis T, Linnane B, Murphy P, SHIELD CF.	PLoS One	10.1371/journal.pone.0109798	2014
	Altered oral microbiome in Sudanese Toombak smokeless tobacco users carries a newly emerging risk of squamous cell carcinoma development and progression.	Sami A, Elimairi I, Ryan CA, Stanton C, Patangia D, Ross RP.	Sci Rep	10.1038/s41598-023-32892-y	2023
Enzymology	Identification of Known and Novel Recurrent Viral Sequences in Data from Multiple Patients and Multiple Cancers.	Friis-Nielsen J, Kjartansdottir KR, Mollerup S, Asplund M, Mourier T, Jensen RH, Hansen TA, Rey-Iglesia A, Richter SR, Nielsen IB, Alquezar-Planas DE, Olsen PV, Vinner L, Fridholm H, Nielsen LP, Willerslev E, Sicheritz-Ponten T, Lund O, Hansen AJ, Izarzugaza JM, Brunak S.	Viruses	10.3390/v8020053	2016
	Microbiome of Saliva and Plaque in Children According to Age and Dental Caries Experience.	Lee E, Park S, Um S, Kim S, Lee J, Jang J, Jeong HO, Shin J, Kang J, Lee S, Jeong T.	Diagnostics (Basel)	10.3390/diagnostics11081324	2021
	Characterization of Supragingival Plaque and Oral Swab Microbiomes in Children With Severe Early Childhood Caries.	de Jesus VC, Khan MW, Mittermuller BA, Duan K, Hu P, Schroth RJ, Chelikani P.	Front Microbiol	10.3389/fmicb.2021.683685	2021
	Tetramic Acids Mutanocyclin and Reutericyclin A, Produced by Streptococcus mutans Strain B04Sm5 Modulate the Ecology of an in vitro Oral Biofilm.	Uranga C, Nelson KE, Edlund A, Baker JL.	Front Oral Health	10.3389/froh.2021.796140	2021
	Microbial changes in relation to oral mucositis in autologous hematopoietic stem cell transplantation recipients.	Laheij AMGA, Raber-Durlacher JE, Koppelmans RGA, Huysmans MDNJM, Potting C, van Leeuwen SJM, Hazenberg MD, Brennan MT, von Bultzingslowen I, Johansson JE, de Soet JJ, Haverman TM, Buijs MJ, Brandt BW, Rozema FR, Blijlevens NMA, Zaura E.	Sci Rep	10.1038/s41598-019-53073-w	2019
	Salivary dysbiosis and the clinical spectrum in anti-Ro positive mothers of children with neonatal lupus.	Clancy RM, Marion MC, Ainsworth HC, Blaser MJ, Chang M, Howard TD, Izmirly PM, Lacher C, Masson M, Robins K, Buyon JP, Langefeld CD.	J Autoimmun	10.1016/j.jaut.2019.102354	2020
	Evaluation of Oral Cavity DNA Extraction Methods on Bacterial and Fungal Microbiota.	Rosenbaum J, Usyk M, Chen Z, Zolnik CP, Jones HE, Waldron L, Dowd JB, Thorpe LE, Burk RD.	Sci Rep	10.1038/s41598-018-38049-6	2019
	Subgingival Microbiota and Longitudinal Glucose Change: The Oral Infections, Glucose Intolerance and Insulin Resistance Study (ORIGINS).	Demmer RT, Trinh P, Rosenbaum M, Li G, LeDuc C, Leibel R, Gonzalez A, Knight R, Paster B, Colombo PC, Desvarieux M, Papapanou PN, Jacobs DR.	J Dent Res	10.1177/0022034519881978	2019
Phylogeny	A hemagglutinating variant of Prevotella melaninogenica isolated from the oral cavity.	Haraldsson G, Holbrook WP.	Oral Microbiol Immunol	10.1111/j.1399-302x.1998.tb00692.x	1998
	Beyond Metabolism: The Complex Interplay Between Dietary Phytoestrogens, Gut Bacteria, and Cells of Nervous and Immune Systems.	Cady N, Peterson SR, Freedman SN, Mangalam AK.	Front Neurol	10.3389/fneur.2020.00150	2020
Phylogeny	Emended descriptions of Prevotella denticola, Prevotella loescheii, Prevotella veroralis, and Prevotella melaninogenica.	Wu CC, Johnson JL, Moore WE, Moore LV.	Int J Syst Bacteriol	10.1099/00207713-42-4-536	1992
Genetics	Defining the gut microbiota in individuals with periodontal diseases: an exploratory study.	Lourenso TGB, Spencer SJ, Alm EJ, Colombo APV.	J Oral Microbiol	10.1080/20002297.2018.1487741	2018
	The tet(Q) gene in bacteria isolated from patients with refractory periodontal disease.	Olsvik B, Olsen I, Tenover FC.	Oral Microbiol Immunol	10.1111/j.1399-302x.1994.tb00067.x	1994
Enzymology	Impact of DNA extraction method and targeted 16S-rRNA hypervariable region on oral microbiota profiling.	Teng F, Darveekaran Nair SS, Zhu P, Li S, Huang S, Li X, Xu J, Yang F.	Sci Rep	10.1038/s41598-018-34294-x	2018
	Role of bacteria in oral carcinogenesis.	Khajuria N, Metgud R.	Indian J Dent	10.4103/0975-962x.151709	2015
Enzymology	New findings on the microbial flora associated with adult periodontitis.	Rawlinson A, Duerden BI, Goodwin L.	J Dent	10.1016/0300-5712(93)90029-p	1993
	Effects of root planing on the distribution of microorganisms adult periodontitis sites.	Rawlinson A, Duerden BI, Goodwin L.	Eur J Prosthodont Restor Dent		1993
	Estimating the Time Since Deposition of Saliva Stains With a Targeted Bacterial DNA Approach: A Proof-of-Principle Study.	Diez Lopez C, Kayser M, Vidaki A.	Front Microbiol	10.3389/fmicb.2021.647933	2021
	Computational analysis reveals a successive adaptation of multiple inositol polyphosphate phosphatase 1 in higher organisms through evolution.	Kilaparty SP, Singh A, Baltosser WH, Ali N.	Evol Bioinform Online	10.4137/ebo.s18948	2014
Enzymology	Viable bacteria present within oral squamous cell carcinoma tissue.	Hooper SJ, Crean SJ, Lewis MA, Spratt DA, Wade WG, Wilson MJ.	J Clin Microbiol	10.1128/jcm.44.5.1719-1725.2006	2006
Phylogeny	Molecular diversity of rumen bacterial communities from tannin-rich and fiber-rich forage fed domestic Sika deer (Cervus nippon) in China.	Li ZP, Liu HL, Li GY, Bao K, Wang KY, Xu C, Yang YF, Yang FH, Wright AD.	BMC Microbiol	10.1186/1471-2180-13-151	2013
Phylogeny	Concurrent gut transcriptome and microbiota profiling following chronic ethanol consumption in nonhuman primates.	Barr T, Sureshchandra S, Ruegger P, Zhang J, Ma W, Borneman J, Grant K, Messaoudi I.	Gut Microbes	10.1080/19490976.2018.1441663	2018
	Monitoring the prevalence of viable and dead cariogenic bacteria in oral specimens and in vitro biofilms by qPCR combined with propidium monoazide.	Yasunaga A, Yoshida A, Morikawa K, Maki K, Nakamura S, Soh I, Awano S, Ansai T.	BMC Microbiol	10.1186/1471-2180-13-157	2013
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	2010
Genetics	Exome capture from saliva produces high quality genomic and metagenomic data.	Kidd JM, Sharpton TJ, Bobo D, Norman PJ, Martin AR, Carpenter ML, Sikora M, Gignoux CR, Nemat-Gorgani N, Adams A, Guadalupe M, Guo X, Feng Q, Li Y, Liu X, Parham P, Hoal EG, Feldman MW, Pollard KS, Wall JD, Bustamante CD, Henn BM.	BMC Genomics	10.1186/1471-2164-15-262	2014
	Bacterial biota in reflux esophagitis and Barrett's esophagus.	Pei Z, Yang L, Peek RM, Jr Levine SM, Pride DT, Blaser MJ.	World J Gastroenterol	10.3748/wjg.v11.i46.7277	2005
Phylogeny	Multivariate analyses of cellular fatty acids in Bacteroides, Prevotella, Porphyromonas, Wolinella, and Campylobacter spp.	Brondz I, Olsen I.	J Clin Microbiol	10.1128/jcm.29.1.183-189.1991	1991
	Bacterial biota in the human distal esophagus.	Pei Z, Bini EJ, Yang L, Zhou M, Francois F, Blaser MJ.	Proc Natl Acad Sci U S A	10.1073/pnas.0306398101	2004
Phylogeny	Temperature gradient gel electrophoresis analysis of 16S rRNA from human fecal samples reveals stable and host-specific communities of active bacteria.	Zoetendal EG, Akkermans AD, De Vos WM.	Appl Environ Microbiol	10.1128/aem.64.10.3854-3859.1998	1998
Phylogeny	Molecular characterization of subject-specific oral microflora during initial colonization of enamel.	Diaz PI, Chalmers NI, Rickard AH, Kong C, Milburn CL, Palmer RJ, Kolenbrander PE.	Appl Environ Microbiol	10.1128/aem.72.4.2837-2848.2006	2006
Phylogeny	Culture-independent analysis of gut bacteria: the pig gastrointestinal tract microbiota revisited.	Leser TD, Amenuvor JZ, Jensen TK, Lindecrona RH, Boye M, Moller K.	Appl Environ Microbiol	10.1128/aem.68.2.673-690.2002	2002
Phylogeny	Prevotella vespertina sp. nov., isolated from an abscess of a hospital patient.	Buhl M, Marschal M.	Int J Syst Evol Microbiol	10.1099/ijsem.0.004316	2020
Phylogeny	Prevotella histicola sp. nov., isolated from the human oral cavity.	Downes J, Hooper SJ, Wilson MJ, Wade WG.	Int J Syst Evol Microbiol	10.1099/ijs.0.65656-0	2008
Metabolism	Prevotella paludivivens sp. nov., a novel strictly anaerobic, Gram-negative, hemicellulose-decomposing bacterium isolated from plant residue and rice roots in irrigated rice-field soil.	Ueki A, Akasaka H, Satoh A, Suzuki D, Ueki K.	Int J Syst Evol Microbiol	10.1099/ijs.0.64914-0	2007
Phylogeny	Prevotella copri sp. nov. and Prevotella stercorea sp. nov., isolated from human faeces.	Hayashi H, Shibata K, Sakamoto M, Tomita S, Benno Y.	Int J Syst Evol Microbiol	10.1099/ijs.0.64778-0	2007

References

#8175	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 19559
#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 )
#46252	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 15422
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#68367	Automatically annotated from API 20A .
#68380	Automatically annotated from API rID32A .
#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 veroralis (DSM 19559, ATCC 33779, CCUG 15422)

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