Prevotella amnii (DSM 23384, CCUG 53648, JCM 14753)

Name: Prevotella amnii (DSM 23384, CCUG 53648, JCM 14753)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 12562

Type strain

Culture col. no. DSM 23384 CCUG 53648 JCM 14753 KCTC 15072

NCBI tax ID(s) 1122979 419005

Special Collections DSMZ CCUG JCM KCTC Literature strains

History DSMZ <- JCM/RIKEN <- CCUG <- S. Kawash JCM <-- CCUG 53648 <-- S. Kawash.

Links

Prevotella amnii DSM 23384 is an anaerobe, Gram-negative, rod-shaped bacterium that was isolated from amniotic fluid of a 29-year-old female.

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

Name and taxonomic classification

SI-ID 303425

CCUG 53648,JCM 14753,CIP 109456,DSM 23384

@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 amnii

Full scientific name Prevotella amnii Lawson et al. 2008

BacDive ID	Other strains from **Prevotella amnii** (1)	Type strain
151019	P. amnii CCUG 43050

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
32204	negative	1.9 µm	1 µm	rod-shaped
68367				rod-shaped		from API 20A
68367	negative					from API 20A
125439	negative				93.631
125438					90.5
125438	negative				95.734

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
16819	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
16819	CHOPPED MEAT MEDIUM WITH CARBOHYDRATES (DSMZ Medium 110)	Medium recipe at MediaDive	Name: CHOPPED MEAT MEDIUM WITH CARBOHYDRATES (DSMZ Medium 110) Composition: Ground beef 500.0 g/l Casitone 30.0 g/l Agar 15.0 g/l K2HPO4 5.0 g/l Yeast extract 5.0 g/l D-Glucose 4.0 g/l Starch 1.0 g/l Maltose 1.0 g/l Cellobiose 1.0 g/l L-Cysteine HCl 0.5 g/l Ethanol 0.19 g/l Vitamin K3 0.05 g/l Hemin 0.005 g/l Sodium resazurin 0.0005 g/l Vitamin K1 NaOH Distilled water
16819	FASTIDIOUS ANAEROBE BROTH (DSMZ Medium 1203a)	Medium recipe at MediaDive	Name: FASTIDIOUS ANAEROBE BROTH (DSMZ Medium 1203a) Composition: Fastidious Anaerobe Basal Broth 35.4 g/l Distilled water
16819	YCFA-MEDIUM (MODIFIED) (DSMZ Medium 1611)	Medium recipe at MediaDive	Name: YCFA-MEDIUM (MODIFIED) (DSMZ Medium 1611) Composition: Casitone 10.0 g/l Glucose 5.0 g/l NaHCO3 4.0 g/l Yeast extract 2.5 g/l Acetic acid 1.78695 g/l L-Cysteine HCl 1.0 g/l NaCl 0.9 g/l Propionic acid 0.62559 g/l KH2PO4 0.45 g/l K2HPO4 0.45 g/l CaCl2 x 2 H2O 0.09 g/l n-Valeric acid 0.08451 g/l iso-Valeric acid 0.0837899 g/l iso-Butyric acid 0.07695 g/l MgSO4 x 7 H2O 0.045 g/l Hemin 0.01 g/l Resazurin 0.001 g/l Pyridoxine hydrochloride 0.0001 g/l Nicotinic acid 5e-05 g/l Thiamine-HCl x 2 H2O 5e-05 g/l Riboflavin 5e-05 g/l D-Calcium pantothenate 5e-05 g/l p-Aminobenzoic acid 5e-05 g/l Lipoic acid 5e-05 g/l Folic acid 2e-05 g/l Biotin 2e-05 g/l Vitamin B12 1e-06 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
16819	positive	growth	37
32204	positive	growth	37
59961	positive	growth	37
67770	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
16819	anaerobe
32204	anaerobe
59961	anaerobe
125439	obligate anaerobe	90.563

Spore formation

@ref	Confidence
32204
68367		from API 20A
125439	99.877
125438	92.33

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
68380	16024 ChEBI	D-mannose	-	fermentation	from API rID32A
68367	65327 ChEBI	D-xylose	-	builds acid from	from API 20A
32204	4853 ChEBI	esculin	+	hydrolysis
68367	4853 ChEBI	esculin	-	hydrolysis	from API 20A
68367	5291 ChEBI	gelatin	-	hydrolysis	from API 20A
32204	17234 ChEBI	glucose	+	carbon source
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
32204	17716 ChEBI	lactose	+	carbon source
32204	17306 ChEBI	maltose	+	carbon source
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	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
32204	acid phosphatase	+	3.1.3.2
68380	alanine arylamidase	+	3.4.11.2	from API rID32A
32204	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
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-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
16819	catalase	-	1.11.1.6
68367	catalase	-	1.11.1.6	from API 20A
16819	cytochrome-c oxidase	-	1.9.3.1
68367	gelatinase	-		from API 20A
68380	glutamate decarboxylase	-	4.1.1.15	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
16819	-	-	-	+/-	+/-	+/-	-	-	-	-	-	-	+/-	-	-	-	-	-	-	-	-	-	-	-
16819	-	-	+/-	-	+/-	-	-	-	-	-	-	-	-	-	+/-	-	-	-	-	-	-	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
16819	-	-	-	+	+/-	+	-	-	-	+	-	-	-	-	-	-	+	-	-	+	-	-	-	-	+	-	-	+	-
16819	-	-	-	+	+	+	-	-	-	+	-	-	-	-	-	-	+	-	-	+	-	-	-	-	not determinedn.d.	-	-	-	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Infection	#Patient	-
#Host Body Product	#Fluids	-
#Host	#Human	#Female

Isolation

@ref	Sample type	Host species	Sampling date	Geographic location	Country	Country ISO 3 Code	Continent
16819	amniotic fluid of a 29-year-old female	Homo sapiens		Göteborg	Sweden	SWE	Europe
59961	Human amniotic fluid,turbid and ill smelling	Homo sapiens	2006-10-23	Göteborg	Sweden	SWE	Europe
67770	Human amniotic fluid	Homo sapiens

Taxonmaps

69479

Global distribution of 16S sequence AM422125 (>99% sequence identity) for Prevotella amnii subclade from Microbeatlas

Aquatic Samples	589
Soil Samples	340
Animal Samples	40800
Plant Samples	149
Total Samples	41878

Interaction and safety

Risk assessment

@ref	Pathogenicity human	Biosafety level	Biosafety level comment
16819	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	ASM37874v1 assembly for Prevotella amnii DSM 23384 = JCM 14753	scaffold	GCA_000378745	1122979.3	2518645615	1122979	62.07
67770	ASM61376v1 assembly for Prevotella amnii DSM 23384 = JCM 14753	contig	GCA_000613765	1236496.3	2585427892	1122979	44.65

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20218	Prevotella amnii gene for 16S ribosomal RNA, partial sequence, strain: JCM 14753	AB547670	1491		419005
16819	Prevotella amniotica partial 16S rRNA gene, type strain CCUG 53648	AM422125	1474		419005

GC content

@ref	GC-content (mol%)	Method
16819	36.6	sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM37874v1 assembly for Prevotella amnii DSM 23384 = JCM 14753
NCBI: GCA_000378745

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	gram_stain	BacteriaNetⓘ	negative	93.63	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate anaerobe	90.56	no
125439	motility	BacteriaNetⓘ	no	85.87	no
125439	spore_formation	BacteriaNetⓘ	no	99.88	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Prevotella amnii DSM 23384
PATRIC: 1122979.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	95.73	yes
125438	anaerobic	anaerobicⓘ	yes	88.28	yes
125438	spore-forming	spore-formingⓘ	no	92.33	no
125438	aerobic	aerobicⓘ	no	96.58	yes
125438	thermophilic	thermophileⓘ	no	93.08	yes
125438	flagellated	motile2+ⓘ	no	90.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	A Systematic Approach to Discover New Natural Product Scaffolds Using Database-Derived Relative Mass Spectral Defects and Molecular Networking.	Cho HM, Boccia E, Rajwani R, O'Connor RD, Boshoff H, Barry C, Bifulco G, Bewley CA.	JACS Au	10.1021/jacsau.4c00889	2025
Pathogenicity	Vaginal epithelial dysfunction is mediated by the microbiome, metabolome, and mTOR signaling.	Berard AR, Brubaker DK, Birse K, Lamont A, Mackelprang RD, Noel-Romas L, Perner M, Hou X, Irungu E, Mugo N, Knodel S, Muwonge TR, Katabira E, Hughes SM, Levy C, Calienes FL, Lauffenburger DA, Baeten JM, Celum C, Hladik F, Lingappa J, Burgener AD.	Cell Rep	10.1016/j.celrep.2023.112474	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	Prevotella amnii sp. nov., isolated from human amniotic fluid.	Lawson PA, Moore E, Falsen E	Int J Syst Evol Microbiol	10.1099/ijs.0.65118-0	2008

References

#16819	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 23384
#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 )
#28446	IJSEM 89 2008 ( DOI 10.1099/ijs.0.65118-0 , PubMed 18175689 )
#32204	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 #28446
#59961	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 53648
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#68367	Automatically annotated from API 20A .
#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 amnii (DSM 23384, CCUG 53648, JCM 14753)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Metabolite utilization

Metabolite production

Metabolite tests

Enzymes

API 20A

API rID32A

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_000378745

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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