Alloprevotella rava (DSM 22548, CCUG 58091, KCTC 15416)

Name: Alloprevotella rava (DSM 22548, CCUG 58091, KCTC 15416)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 23199

Type strain

Strain Designation 81/4 12

Culture col. no. DSM 22548 CCUG 58091 KCTC 15416 81/4 12

NCBI tax ID(s) 671218

Special Collections DSMZ CCUG KCTC Literature strains

History DSMZ <- J. Downes, King's College London, United Kingdom; 81/4 12 <- W. G. Wade KCTC <- CCUG <- J Downes, Kings College, London, UK

Links

Alloprevotella rava 81/4 12 is an anaerobe, Gram-negative, ovoid-shaped bacterium that was isolated from human periodontitis patient, oral cavity, subgingival plaque .

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

Name and taxonomic classification

SI-ID 400263

KCTC 15416,DSM 22548,CCUG 58091

@ref 20215

Last LPSN update 2026-05-29 08:30:24

Domain Bacteria

Phylum Bacteroidota

Class Bacteroidia

Order Bacteroidales

Family Prevotellaceae

Genus Alloprevotella

Species Alloprevotella rava

Full scientific name Alloprevotella rava Downes et al. 2013

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
30660	negative	3 µm	0.55 µm	ovoid-shaped
67771
67771	negative
125438	negative				94.873
125439	negative				98.937

Colony morphology

@ref	Incubation period
19290	2-3 days
61591	2 days

Pigmentation

30660

Productionyes

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
19290	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
19290	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)
19290	positive	growth	37
30660	positive	growth	30-42
30660	positive	optimum	35
61591	positive	growth	35
67771	positive	growth	37

Culture pH

@ref	Ability	Type	PH
30660	positive	optimum	7
30660	positive	growth	06-07

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
19290	anaerobe
30660	anaerobe
61591	anaerobe
67771	anaerobe
125438	anaerobe	93.655
125439	anaerobe	91.223

Spore formation

@ref	Spore formation	Confidence
125439		99.981
125438		90.975

Observation

30660

Observationaggregates in chains

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
30660	28757 ChEBI	fructose	+	carbon source
30660	17234 ChEBI	glucose	+	carbon source
68380	29985 ChEBI	L-glutamate	-	degradation	from API rID32A
30660	17716 ChEBI	lactose	+	carbon source
30660	17306 ChEBI	maltose	+	carbon source
30660	37684 ChEBI	mannose	+	carbon source
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
30660	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
30660	alpha-galactosidase	+	3.2.1.22
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
30660	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
19290	-	-	-	+	-	-	-	-	-	+	-	-	-	-	-	-	+	-	-	-	-	-	-	-	+	-	-	-	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Infection	#Inflammation	-
#Host	#Human	-
#Host Body-Site	#Oral cavity and airways	#Periodontal pocket
#Host Body-Site	#Oral cavity and airways	#Plaque

Isolation

@ref	Sample type	Host species	Sampling date	Geographic location	Country	Country ISO 3 Code	Continent
19290	human periodontitis patient, oral cavity, subgingival plaque (>8 mm periodontal pocket)	Homo sapiens		Cardiff	United Kingdom	GBR	Europe
61591	Human oral cavity,8mm periodental pocket	Homo sapiens	1985-11-01	Cardiff	United Kingdom	GBR	Europe
67771	From human periodontitis patient, oral cavity, subgingival plaque(>8 mm periodontal pocket)	Homo sapiens			United Kingdom	GBR	Europe

Taxonmaps

69479

Global distribution of 16S sequence JQ039189 (>99% sequence identity) for Alloprevotella rava subclade from Microbeatlas

Aquatic Samples	96
Soil Samples	103
Animal Samples	9985
Plant Samples	31
Total Samples	10215

Interaction and safety

Risk assessment

@ref	Pathogenicity human	Biosafety level	Biosafety level comment
19290	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	ASM1419558v1 assembly for Alloprevotella rava DSM 22548	contig	GCA_014195585	671218.7	2827976805	671218	73.92

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
19290	Alloprevotella rava strain 81/4-12 16S ribosomal RNA gene, partial sequence	JQ039189	1455		671218

GC content

@ref	GC-content (mol%)	Method
19290	47	high performance liquid chromatography (HPLC)
30660	47
67771	47.0

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM1419558v1 assembly for Alloprevotella rava DSM 22548
BV-BRC: 671218.7

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	91.22	no
125439	gram_stain	BacteriaNetⓘ	negative	98.94	no
125439	motility	BacteriaNetⓘ	no	66.26	no
125439	spore_formation	BacteriaNetⓘ	no	99.98	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Alloprevotella rava strain DSM 22548
PATRIC: 671218.7

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	94.87	yes
125438	anaerobic	anaerobicⓘ	yes	93.66	yes
125438	spore-forming	spore-formingⓘ	no	90.98	no
125438	aerobic	aerobicⓘ	no	96.16	yes
125438	thermophilic	thermophileⓘ	no	93.98	no
125438	flagellated	motile2+ⓘ	no	89.00	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Dietary ellagic acid therapy for CNS autoimmunity: Targeting on Alloprevotella rava and propionate metabolism.	Han B, Shi L, Bao MY, Yu FL, Zhang Y, Lu XY, Wang Y, Li DX, Lin JC, Jia W, Li X, Zhang Y.	Microbiome	10.1186/s40168-024-01819-8	2024
Phylogeny	Description of Alloprevotella rava gen. nov., sp. nov., isolated from the human oral cavity, and reclassification of Prevotella tannerae Moore et al. 1994 as Alloprevotella tannerae gen. nov., comb. nov.	Downes J, Dewhirst FE, Tanner ACR, Wade WG	Int J Syst Evol Microbiol	10.1099/ijs.0.041376-0	2012

References

#19290	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 22548
#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 )
#26991	IJSEM 1214 2013 ( DOI 10.1099/ijs.0.041376-0 , PubMed 22753527 )
#30660	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 #26991
#61591	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 58091
#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) .
#67771	Korean Collection for Type Cultures (KCTC) ; Curators of the KCTC;
#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

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Alloprevotella rava (DSM 22548, CCUG 58091, KCTC 15416)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Pigmentation

Culture and growth conditions

Culture medium

Culture temp

Culture pH

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_014195585

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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