Faecalibacterium prausnitzii (DSM 107840, APC924/119, JCM 39209)

Name: Faecalibacterium prausnitzii (DSM 107840, APC924/119, JCM 39209)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 159477

Type strain

Strain Designation APC924/119

Culture col. no. DSM 107840 APC924/119 JCM 39209

NCBI tax ID(s) 853

Special Collections DSMZ JCM

Links

Faecalibacterium prausnitzii APC924/119 is a mesophilic prokaryote that was isolated from Human feces.

mesophilic genome sequence

Name and taxonomic classification

SI-ID 407955

JCM 39209,DSM 107840

@ref 20215

Last LPSN update 2025-12-16 10:08:16

Domain Bacillati

Phylum Bacillota

Class Clostridia

Order Eubacteriales

Family Oscillospiraceae

Genus Faecalibacterium

Species Faecalibacterium prausnitzii

Full scientific name Faecalibacterium prausnitzii (Hauduroy et al. 1937) Duncan et al. 2002

Synonyms (3)

"Faecalibacterium moorei"
Fusobacterium prausnitzii
"Bacteroides praussnitzii"

BacDive ID	Other strains from **Faecalibacterium prausnitzii** (3)	Type strain
168617	F. prausnitzii NCIMB 13872, ATCC 27768 (type strain)
159475	F. prausnitzii APC918/95b, DSM 107838, JCM 39207
159476	F. prausnitzii APC942/30-2, DSM 107839

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	91.5

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
66300	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
66300	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

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
66300	positive	growth	37	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate anaerobe	98.5

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	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
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	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
66300	-	-	-	+	-	-	-	-	-	-	-	-	-	-	-	-	-	+	-	+/-	-	-	-	-	+/-	+	+	-	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Human	-
#Host Body Product	#Gastrointestinal tract	#Feces (Stool)

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent	Latitude	Longitude
66300	Human feces	Cork, University College Cork	Ireland	IRL	Europe	51.9036	-8.4685 51.9036/-8.4685

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
66300	1	Risk group (German classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM328747v1 assembly for Faecalibacterium prausnitzii APC924/119	contig	GCA_003287475	853.269	2849827911	853	58.95

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Faecalibacterium prausnitzii APC924/119
NCBI: GCA_003287475

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	89.00	no
125439	motility	BacteriaNetⓘ	no	57.00	no
125439	gram_stain	BacteriaNetⓘ	negative	91.50	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate anaerobe	98.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Biotechnology	Development of Delivery Systems with Prebiotic and Neuroprotective Potential of Industrial-Grade Cannabis sativa L.	Sip S, Stasilowicz-Krzemien A, Sip A, Szulc P, Neumann M, Kryszak A, Cielecka-Piontek J.	Molecules	10.3390/molecules29153574	2024
	Clostridium butyricum-altered lung microbiome is associated with enhanced anti-influenza effects via G-protein-coupled receptor120.	Hagihara M, Yamashita M, Ariyoshi T, Minemura A, Yoshida C, Higashi S, Oka K, Takahashi M, Ota A, Maenaka A, Iwasaki K, Hirai J, Shibata Y, Umemura T, Mori T, Kato H, Asai N, Mikamo H.	iScience	10.1016/j.isci.2025.113502	2025
Genetics	Genome-based, phenotypic and chemotaxonomic classification of Faecalibacterium strains: proposal of three novel species Faecalibacterium duncaniae sp. nov., Faecalibacterium hattorii sp. nov. and Faecalibacterium gallinarum sp. nov.	Sakamoto M, Sakurai N, Tanno H, Iino T, Ohkuma M, Endo A.	Int J Syst Evol Microbiol	10.1099/ijsem.0.005379	2022

References

#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 )
#66300	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 107840
#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) .
#68380	Automatically annotated from API rID32A .
#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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Faecalibacterium prausnitzii (DSM 107840, APC924/119, JCM 39209)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Metabolite utilization

Metabolite production

Metabolite tests

Enzymes

API rID32A

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_003287475

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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