Prevotella micans (DSM 21469, CCUG 56105, KCTC 15163)

Name: Prevotella micans (DSM 21469, CCUG 56105, KCTC 15163)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 12564

Type strain

Strain Designation E7.56

Culture col. no. DSM 21469 CCUG 56105 KCTC 15163 E7.56 JCM 16134

NCBI tax ID(s) 1122987 189723

Special Collections DSMZ CCUG JCM KCTC Literature strains

History <- J. Downes, King's College London, UK; E7.56 <- M. Munson, King's College London, UK CCUG 56105 <-- J. Downes strain E7.56. <- DSM <- J Downes, King`s College London, UK, E7.56 <- M Munson, King`s College, London, UK

Links

Prevotella micans E7.56 is an anaerobe, mesophilic, Gram-negative prokaryote that was isolated from human tooth necrotic pulp.

Gram-negative anaerobe mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 400100

KCTC 15163,JCM 16134,DSM 21469,CCUG 56105

@ref 20215

Last LPSN update 2026-02-09 11:20:52

Domain Bacteria

Phylum Bacteroidota

Class Bacteroidia

Order Bacteroidales

Family Prevotellaceae

Genus Prevotella

Species Prevotella micans

Full scientific name Prevotella micans Downes et al. 2009

BacDive ID	Other strains from **Prevotella micans** (1)	Type strain
155016	P. micans CCUG 56106

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Confidence
28945	negative	3.25 µm	0.7 µm
67771
67771	negative
125438				92.5
125438	negative			97.196
125439				93.5

Colony morphology

60859

Incubation period2 days

Pigmentation

28945

Productionyes

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
15725	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
15725	PYG MEDIUM (MODIFIED) (DSMZ Medium 104)		Medium recipe at MediaDive	Name: PYG MEDIUM (modified) (DSMZ Medium 104; with strain-specific modifications) Composition: Horse serum 50.0 g/l Yeast extract 10.0 g/l Trypticase peptone 5.0 g/l 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 Vitamin K1 NaOH Tween 80 Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
15725	positive	growth	37	mesophilic
60859	positive	growth	37	mesophilic
67770	positive	growth	37	mesophilic
67771	positive	growth	37	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance
15725	anaerobe
28945	anaerobe
60859	anaerobe
67771	anaerobe

Spore formation

@ref	Spore formation	Confidence
125438		93.246
125439		98.7

Observation

28945

Observationaggregates in clumps

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
28945	30089 ChEBI	acetate	+	carbon source
68380	29016 ChEBI	arginine	-	hydrolysis	from API rID32A
28945	17057 ChEBI	cellobiose	+	carbon source
68380	16024 ChEBI	D-mannose	-	fermentation	from API rID32A
28945	28757 ChEBI	fructose	+	carbon source
28945	5291 ChEBI	gelatin	+	carbon source
28945	17234 ChEBI	glucose	+	carbon source
68380	29985 ChEBI	L-glutamate	-	degradation	from API rID32A
28945	17716 ChEBI	lactose	+	carbon source
28945	17306 ChEBI	maltose	+	carbon source
28945	37684 ChEBI	mannose	+	carbon source
28945	28053 ChEBI	melibiose	+	carbon source
68380	17632 ChEBI	nitrate	-	reduction	from API rID32A
28945	16634 ChEBI	raffinose	+	carbon source
68380	16634 ChEBI	raffinose	-	fermentation	from API rID32A
28945	17814 ChEBI	salicin	+	carbon source
28945	30031 ChEBI	succinate	+	carbon source
28945	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
28945	35581 ChEBI	indole
68380	35581 ChEBI	indole		from API rID32A

Metabolite tests

@ref	Chebi-ID	Metabolite	Indole test
28945	35581 ChEBI	indole	+
68380	35581 ChEBI	indole	+	from API rID32A

Enzymes

@ref	Value	Activity	Ec
68380	alanine arylamidase	+	3.4.11.2	from API rID32A
28945	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
28945	alpha-galactosidase	+	3.2.1.22
68380	alpha-galactosidase	+	3.2.1.22	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	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
15725	-	-	+	+	-	+/-	-	-	-	+	-	-	-	+	-	+	+	-	-	+	-	-	-	-	+	-	-	-	-

Isolation, sampling and environmental information

Isolation source categories

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

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
15725	human tooth necrotic pulp	London	United Kingdom	GBR	Europe
60859	Human oral necrotic pulp,2-yr-old child	London	United Kingdom	GBR	Europe
67770	Human oral cavity
67771	From human tooth necrotic pulp(oral cavity)	London	United Kingdom	GBR	Europe

Taxonmaps

69479

Global distribution of 16S sequence AF481228 (>99% sequence identity) for Prevotella micans subclade from Microbeatlas

Aquatic Samples	453
Soil Samples	268
Animal Samples	31972
Plant Samples	127
Total Samples	32820

Interaction and safety

Risk assessment

@ref	Pathogenicity human	Biosafety level	Biosafety level comment
15725	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
67770	ASM37370v1 assembly for Prevotella micans DSM 21469 = JCM 16134	scaffold	GCA_000373705	1122987.3	2515154159	1122987	67.01
67771	ASM61410v1 assembly for Prevotella micans DSM 21469 = JCM 16134	contig	GCA_000614105	1236510.3	2585427903	1122987	43.1

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
15725	Prevotella micans strain E7.56 16S ribosomal RNA gene, partial sequence	AF481228	1480		189723
67770	Prevotella micans gene for 16S ribosomal RNA, partial sequence, strain: JCM 16134	AB547692	1490		189723

GC content

@ref	GC-content (mol%)	Method
15725	46	high performance liquid chromatography (HPLC)
28945	46
67771	46.0	high performance liquid chromatography (HPLC)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Prevotella micans DSM 21469 = JCM 16134
NCBI: GCA_000373705

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	86.10	no
125439	gram_stain	BacteriaNetⓘ	positive	75.00	no
125439	motility	BacteriaNetⓘ	no	93.50	no
125439	spore_formation	BacteriaNetⓘ	no	98.70	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Prevotella micans DSM 21469
PATRIC: 1122987.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	97.20	no
125438	anaerobic	anaerobicⓘ	yes	87.62	yes
125438	spore-forming	spore-formingⓘ	no	93.25	no
125438	aerobic	aerobicⓘ	no	97.15	yes
125438	thermophilic	thermophileⓘ	no	92.71	yes
125438	flagellated	motile2+ⓘ	no	92.50	yes

Literature

Topic	Title	Authors	Journal	DOI	Year
	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
Metabolism	Gut bacteria identified in colorectal cancer patients promote tumourigenesis via butyrate secretion.	Okumura S, Konishi Y, Narukawa M, Sugiura Y, Yoshimoto S, Arai Y, Sato S, Yoshida Y, Tsuji S, Uemura K, Wakita M, Matsudaira T, Matsumoto T, Kawamoto S, Takahashi A, Itatani Y, Miki H, Takamatsu M, Obama K, Takeuchi K, Suematsu M, Ohtani N, Fukunaga Y, Ueno M, Sakai Y, Nagayama S, Hara E.	Nat Commun	10.1038/s41467-021-25965-x	2021
Phylogeny	Prevotella micans sp. nov., isolated from the human oral cavity.	Downes J, Liu M, Kononen E, Wade WG	Int J Syst Evol Microbiol	10.1099/ijs.0.002337-0	2009

References

#15725	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 21469
#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 )
#25384	IJSEM 771 2009 ( DOI 10.1099/ijs.0.002337-0 , PubMed 19329604 )
#28945	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 #25384
#60859	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 56105
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#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 )

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Prevotella micans (DSM 21469, CCUG 56105, KCTC 15163)

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_000373705

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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