Prevotella disiens (CCUG 9558, JCM 6334, LMG 6453)

Name: Prevotella disiens (CCUG 9558, JCM 6334, LMG 6453)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 12530

Type strain

Strain Designation 1304-72B

Culture col. no. CCUG 9558 JCM 6334 LMG 6453 CIP 105108 DSM 20516 4 more

NCBI tax ID(s) 1235811 28130

Special Collections DSMZ CCUG JCM CIP

Links

Prevotella disiens 1304-72B is an anaerobe, mesophilic prokaryote that was isolated from bartholin abscess.

anaerobe mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 3863

LMG 6453,ATCC 29426,CCUG 9558,DSM 20516,NCTC 11157,CIP 105108,JCM 6334

@ref 20215

Last LPSN update 2025-12-16 09:49:52

Domain Pseudomonadati

Phylum Bacteroidota

Class Bacteroidia

Order Bacteroidales

Family Prevotellaceae

Genus Prevotella

Species Prevotella disiens

Full scientific name Prevotella disiens (Holdeman and Johnson 1977) Shah and Collins 1990

Synonyms (1)

Bacteroides disiens

BacDive ID	Other strains from **Prevotella disiens** (5)	Type strain
149104	P. disiens CCUG 36860
155870	P. disiens CCUG 59491
156642	P. disiens CCUG 63811 A
156993	P. disiens CCUG 68289
165393	P. disiens JCM 6333, VPI 7852

Morphology

Cell morphology

@ref	Motility	Confidence
125438		90
125438		94.719
125439		99.8

Colony morphology

45194

Incubation period2 days

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
8888	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
8888	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

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
8888	positive	growth	37	mesophilic
67770	positive	growth	37	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance
8888	anaerobe
45194	anaerobe
125439	obligate aerobe

Spore formation

@ref	Spore formation	Confidence
125438		92.972
125439		99.6

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	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

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	suberin monomers biosynthesis	100	2 of 2
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	glycogen metabolism	100	5 of 5
66794	CMP-KDO biosynthesis	100	4 of 4
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	C4 and CAM-carbon fixation	100	8 of 8
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	palmitate biosynthesis	100	22 of 22
66794	coenzyme A metabolism	100	4 of 4
66794	cis-vaccenate biosynthesis	100	2 of 2
66794	folate polyglutamylation	100	1 of 1
66794	starch degradation	90	9 of 10
66794	chorismate metabolism	88.89	8 of 9
66794	NAD metabolism	88.89	16 of 18
66794	gluconeogenesis	87.5	7 of 8
66794	vitamin B1 metabolism	84.62	11 of 13
66794	peptidoglycan biosynthesis	80	12 of 15
66794	vitamin K metabolism	80	4 of 5
66794	photosynthesis	78.57	11 of 14
66794	d-mannose degradation	77.78	7 of 9
66794	glycogen biosynthesis	75	3 of 4
66794	sulfopterin metabolism	75	3 of 4
66794	acetate fermentation	75	3 of 4
66794	ppGpp biosynthesis	75	3 of 4
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	75	6 of 8
66794	flavin biosynthesis	73.33	11 of 15
66794	ubiquinone biosynthesis	71.43	5 of 7
66794	purine metabolism	69.15	65 of 94
66794	pyrimidine metabolism	68.89	31 of 45
66794	acetoin degradation	66.67	2 of 3
66794	lipid A biosynthesis	66.67	6 of 9
66794	serine metabolism	66.67	6 of 9
66794	glycolysis	64.71	11 of 17
66794	tetrahydrofolate metabolism	64.29	9 of 14
66794	vitamin B6 metabolism	63.64	7 of 11
66794	threonine metabolism	60	6 of 10
66794	hydrogen production	60	3 of 5
66794	cellulose degradation	60	3 of 5
66794	myo-inositol biosynthesis	60	6 of 10
66794	aspartate and asparagine metabolism	55.56	5 of 9
66794	glutamate and glutamine metabolism	53.57	15 of 28
66794	alanine metabolism	51.72	15 of 29
66794	isoleucine metabolism	50	4 of 8
66794	aminopropanol phosphate biosynthesis	50	1 of 2
66794	ethanol fermentation	50	1 of 2
66794	glycolate and glyoxylate degradation	50	3 of 6
66794	butanoate fermentation	50	2 of 4
66794	dTDPLrhamnose biosynthesis	50	4 of 8
66794	kanosamine biosynthesis II	50	1 of 2
66794	adipate degradation	50	1 of 2
66794	isoprenoid biosynthesis	50	13 of 26
66794	non-pathway related	47.37	18 of 38
66794	CO2 fixation in Crenarchaeota	44.44	4 of 9
66794	cardiolipin biosynthesis	42.86	3 of 7
66794	degradation of aromatic, nitrogen containing compounds	41.67	5 of 12
66794	bacilysin biosynthesis	40	2 of 5
66794	phenylacetate degradation (aerobic)	40	2 of 5
66794	propionate fermentation	40	4 of 10
66794	coenzyme M biosynthesis	40	4 of 10
66794	arachidonate biosynthesis	40	2 of 5
66794	lipoate biosynthesis	40	2 of 5
66794	methylglyoxal degradation	40	2 of 5
66794	polyamine pathway	39.13	9 of 23
66794	sulfate reduction	38.46	5 of 13
66794	oxidative phosphorylation	38.46	35 of 91
66794	histidine metabolism	37.93	11 of 29
66794	pentose phosphate pathway	36.36	4 of 11
66794	metabolism of disaccharids	36.36	4 of 11
66794	lysine metabolism	35.71	15 of 42
66794	citric acid cycle	35.71	5 of 14
66794	methionine metabolism	34.62	9 of 26
66794	formaldehyde oxidation	33.33	1 of 3
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	cyanate degradation	33.33	1 of 3
66794	pantothenate biosynthesis	33.33	2 of 6
66794	selenocysteine biosynthesis	33.33	2 of 6
66794	IAA biosynthesis	33.33	1 of 3
66794	L-lactaldehyde degradation	33.33	1 of 3
66794	enterobactin biosynthesis	33.33	1 of 3
66794	molybdenum cofactor biosynthesis	33.33	3 of 9
66794	valine metabolism	33.33	3 of 9
66794	phosphatidylethanolamine bioynthesis	30.77	4 of 13
66794	phenylalanine metabolism	30.77	4 of 13
66794	glycine metabolism	30	3 of 10
66794	Entner Doudoroff pathway	30	3 of 10
66794	reductive acetyl coenzyme A pathway	28.57	2 of 7
66794	degradation of hexoses	27.78	5 of 18
66794	d-xylose degradation	27.27	3 of 11
66794	lipid metabolism	25.81	8 of 31
66794	lactate fermentation	25	1 of 4
66794	cyclohexanol degradation	25	1 of 4
66794	biotin biosynthesis	25	1 of 4
66794	toluene degradation	25	1 of 4
66794	urea cycle	23.08	3 of 13
66794	leucine metabolism	23.08	3 of 13
66794	phenylpropanoid biosynthesis	23.08	3 of 13
66794	cysteine metabolism	22.22	4 of 18
66794	glutathione metabolism	21.43	3 of 14
66794	tyrosine metabolism	21.43	3 of 14
66794	tryptophan metabolism	21.05	8 of 38

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
8888	-	-	-	-	-	+	-	-	-	-	-	-	-	-	-	-	+/-	+	-	+	-	-	-	-	+	+	-	+	-
8888	-	-	-	-	-	+	-	-	-	-	-	-	-	-	-	-	+	+/-	-	+	-	-	-	-	+	+	-	+/-	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2
#Infection	#Disease
#Host	#Human
#Host Body-Site	#Other
#Host Body-Site	#Urogenital tract

Isolation

@ref	Sample type
8888	bartholin abscess
45194	Bartholin abscess
67770	Bartholin abscess (leukemia)

Taxonmaps

69479

Global distribution of 16S sequence AB547682 (>99% sequence identity) for Prevotella disiens subclade from Microbeatlas

Aquatic Samples	844
Soil Samples	815
Animal Samples	55740
Plant Samples	321
Total Samples	57720

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
8888	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	53421_G01 assembly for Prevotella disiens NCTC11157	contig	GCA_900454955	28130.68	2871815117	28130	76.17
66792	Prevotella disiens strain NCTC11157	contig		28130.5		28130	66.9
67770	ASM61334v1 assembly for Prevotella disiens JCM 6334 = ATCC 29426	contig	GCA_000613345	1235811.5	2585427922	1235811	28.55
67770	ASM46787v1 assembly for Prevotella disiens JCM 6334 = ATCC 29426	scaffold	GCA_000467875	1235811.4	2600254990	1235811

Genome browser: GCA_900454955

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20218	Prevotella disiens ATCC 29426 16S ribosomal RNA gene, complete sequence	L16483	1479		28130
20218	Prevotella disiens gene for 16S ribosomal RNA, partial sequence, strain: JCM 6334	AB547682	1492		28130

GC content

@ref	GC-content (mol%)
8888	40.0
67770	40

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Prevotella disiens JCM 6334 = ATCC 29426
NCBI: GCA_000467875

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	95.70	no
125439	gram_stain	BacteriaNetⓘ	negative	99.80	no
125439	motility	BacteriaNetⓘ	no	81.00	no
125439	spore_formation	BacteriaNetⓘ	no	99.60	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Prevotella disiens JCM 6334 = ATCC 29426
PATRIC: 1235811.4

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	94.72	no
125438	anaerobic	anaerobicⓘ	yes	88.84	yes
125438	spore-forming	spore-formingⓘ	no	92.97	no
125438	aerobic	aerobicⓘ	no	92.90	no
125438	thermophilic	thermophileⓘ	no	95.56	yes
125438	flagellated	motile2+ⓘ	no	90.00	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Leveraging 16S rRNA data to uncover vaginal microbial signatures in women with cervical cancer.	Wu M, Yu H, Gao Y, Li H, Wang C, Li H, Ma X, Dong M, Li B, Bai J, Dong Y, Fan X, Zhang J, Yan Y, Qi W, Han C, Fan A, Xue F.	Front Cell Infect Microbiol	10.3389/fcimb.2023.1024723	2023
Transcriptome	Gene expression of bacterial collagenolytic proteases in root caries.	Dame-Teixeira N, Parolo CCF, Maltz M, Rup AG, Devine DA, Do T.	J Oral Microbiol	10.1080/20002297.2018.1424475	2018
Phylogeny	Microbial Analysis of Umbilical Cord Blood Reveals Novel Pathogens Associated with Stillbirth and Early Preterm Birth.	Vander Haar EL, Wu G, Gyamfi-Bannerman C, Thomas C, Wapner RJ, Reddy UM, Zhao L, Silver RM, Goldenberg RL, Han YW.	mBio	10.1128/mbio.02036-22	2022
Genetics	Flux sampling in genome-scale metabolic modeling of microbial communities.	Gelbach PE, Cetin H, Finley SD.	BMC Bioinformatics	10.1186/s12859-024-05655-3	2024

References

#8888	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 20516
#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 )
#45194	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 9558
#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) .
#66794	Antje Chang, Lisa Jeske, Sandra Ulbrich, Julia Hofmann, Julia Koblitz, Ida Schomburg, Meina Neumann-Schaal, Dieter Jahn, Dietmar Schomburg: BRENDA, the ELIXIR core data resource in 2021: new developments and updates. Nucleic Acids Res. 49: D498 - D508 2020 ( DOI 10.1093/nar/gkaa1025 , PubMed 33211880 )
#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 disiens (CCUG 9558, JCM 6334, LMG 6453)

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

Pathway annotation

API rID32A

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_900454955

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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