Faecalibacterium duncaniae (DSM 17677, JCM 31915, A2-165)

Name: Faecalibacterium duncaniae (DSM 17677, JCM 31915, A2-165)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 17680

Type strain

Strain Designation A2-165

Culture col. no. DSM 17677 JCM 31915 A2-165

NCBI tax ID(s) 411483

Special Collections DSMZ JCM

Links

Faecalibacterium duncaniae A2-165 is an anaerobe, mesophilic prokaryote that was isolated from human, female, 34 years, faecal sample.

anaerobe mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 297647

LMG 30944,JCM 31915,DSM 17677,VTT E-093116

@ref 20215

Last LPSN update 2025-12-16 09:51:09

Domain Bacillati

Phylum Bacillota

Class Clostridia

Order Eubacteriales

Family Oscillospiraceae

Genus Faecalibacterium

Species Faecalibacterium duncaniae

Full scientific name Faecalibacterium duncaniae Sakamoto et al. 2022

Synonyms (1)

Faecalibacterium hominis

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	95.7

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
7119	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)	Range
7119	positive	growth	37	mesophilic
67770	positive	growth	37	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance
7119	anaerobe
125438	anaerobe
125439	obligate anaerobe

Spore formation

@ref	Spore formation	Confidence
125439		95.6

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68380	16024 ChEBI	D-mannose	-	fermentation	from API rID32A
68380	17632 ChEBI	nitrate	-	reduction	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	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	beta-galactosidase	+	3.2.1.23	from API rID32A
68380	beta-glucosidase	-	3.2.1.21	from API rID32A
68380	beta-glucuronidase	+	3.2.1.31	from API rID32A
68380	glutamyl-glutamate arylamidase	-		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	C4 and CAM-carbon fixation	100	8 of 8
66794	starch degradation	100	10 of 10
66794	adipate degradation	100	2 of 2
66794	L-lactaldehyde degradation	100	3 of 3
66794	cis-vaccenate biosynthesis	100	2 of 2
66794	gluconeogenesis	100	8 of 8
66794	formaldehyde oxidation	100	3 of 3
66794	coenzyme A metabolism	100	4 of 4
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	folate polyglutamylation	100	1 of 1
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	vitamin B1 metabolism	92.31	12 of 13
66794	palmitate biosynthesis	90.91	20 of 22
66794	threonine metabolism	90	9 of 10
66794	CO2 fixation in Crenarchaeota	88.89	8 of 9
66794	chorismate metabolism	88.89	8 of 9
66794	aspartate and asparagine metabolism	88.89	8 of 9
66794	glycolate and glyoxylate degradation	83.33	5 of 6
66794	metabolism of amino sugars and derivatives	80	4 of 5
66794	peptidoglycan biosynthesis	80	12 of 15
66794	Entner Doudoroff pathway	80	8 of 10
66794	photosynthesis	78.57	11 of 14
66794	valine metabolism	77.78	7 of 9
66794	serine metabolism	77.78	7 of 9
66794	phenylalanine metabolism	76.92	10 of 13
66794	glycolysis	76.47	13 of 17
66794	lactate fermentation	75	3 of 4
66794	CMP-KDO biosynthesis	75	3 of 4
66794	acetate fermentation	75	3 of 4
66794	butanoate fermentation	75	3 of 4
66794	glycogen biosynthesis	75	3 of 4
66794	ppGpp biosynthesis	75	3 of 4
66794	sulfopterin metabolism	75	3 of 4
66794	NAD metabolism	72.22	13 of 18
66794	purine metabolism	69.15	65 of 94
66794	vitamin B12 metabolism	67.65	23 of 34
66794	molybdenum cofactor biosynthesis	66.67	6 of 9
66794	acetoin degradation	66.67	2 of 3
66794	pyrimidine metabolism	66.67	30 of 45
66794	methane metabolism	66.67	2 of 3
66794	d-xylose degradation	63.64	7 of 11
66794	isoleucine metabolism	62.5	5 of 8
66794	degradation of sugar alcohols	62.5	10 of 16
66794	ketogluconate metabolism	62.5	5 of 8
66794	glycogen metabolism	60	3 of 5
66794	hydrogen production	60	3 of 5
66794	histidine metabolism	58.62	17 of 29
66794	oxidative phosphorylation	58.24	53 of 91
66794	methionine metabolism	57.69	15 of 26
66794	propanol degradation	57.14	4 of 7
66794	reductive acetyl coenzyme A pathway	57.14	4 of 7
66794	glutamate and glutamine metabolism	57.14	16 of 28
66794	polyamine pathway	56.52	13 of 23
66794	alanine metabolism	55.17	16 of 29
66794	metabolism of disaccharids	54.55	6 of 11
66794	degradation of sugar acids	52	13 of 25
66794	phenylmercury acetate degradation	50	1 of 2
66794	mannosylglycerate biosynthesis	50	1 of 2
66794	ethanol fermentation	50	1 of 2
66794	dTDPLrhamnose biosynthesis	50	4 of 8
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	50	4 of 8
66794	aminopropanol phosphate biosynthesis	50	1 of 2
66794	suberin monomers biosynthesis	50	1 of 2
66794	ribulose monophosphate pathway	50	1 of 2
66794	arginine metabolism	50	12 of 24
66794	selenocysteine biosynthesis	50	3 of 6
66794	cysteine metabolism	50	9 of 18
66794	lipid metabolism	48.39	15 of 31
66794	non-pathway related	47.37	18 of 38
66794	leucine metabolism	46.15	6 of 13
66794	pentose phosphate pathway	45.45	5 of 11
66794	vitamin B6 metabolism	45.45	5 of 11
66794	proline metabolism	45.45	5 of 11
66794	d-mannose degradation	44.44	4 of 9
66794	cardiolipin biosynthesis	42.86	3 of 7
66794	heme metabolism	42.86	6 of 14
66794	lysine metabolism	42.86	18 of 42
66794	ubiquinone biosynthesis	42.86	3 of 7
66794	citric acid cycle	42.86	6 of 14
66794	tetrahydrofolate metabolism	42.86	6 of 14
66794	tyrosine metabolism	42.86	6 of 14
66794	ascorbate metabolism	40.91	9 of 22
66794	methylglyoxal degradation	40	2 of 5
66794	arachidonate biosynthesis	40	2 of 5
66794	O-antigen biosynthesis	40	2 of 5
66794	myo-inositol biosynthesis	40	4 of 10
66794	propionate fermentation	40	4 of 10
66794	tryptophan metabolism	39.47	15 of 38
66794	degradation of pentoses	39.29	11 of 28
66794	urea cycle	38.46	5 of 13
66794	isoprenoid biosynthesis	38.46	10 of 26
66794	cyanate degradation	33.33	1 of 3
66794	enterobactin biosynthesis	33.33	1 of 3
66794	lipid A biosynthesis	33.33	3 of 9
66794	nitrate assimilation	33.33	3 of 9
66794	degradation of hexoses	33.33	6 of 18
66794	IAA biosynthesis	33.33	1 of 3
66794	flavin biosynthesis	33.33	5 of 15
66794	octane oxidation	33.33	1 of 3
66794	glycine metabolism	30	3 of 10
66794	benzoyl-CoA degradation	28.57	2 of 7
66794	biotin biosynthesis	25	1 of 4
66794	cyclohexanol degradation	25	1 of 4
66794	degradation of aromatic, nitrogen containing compounds	25	3 of 12
66794	sulfate reduction	23.08	3 of 13
66794	4-hydroxymandelate degradation	22.22	2 of 9
66794	glutathione metabolism	21.43	3 of 14

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
7119	-	-	-	+	+	+	-	-	+	-	-	-	-	-	-	-	-	+	-	+	-	-	-	-	-	+	+	-	-
7119	-	-	-	+	+/-	+/-	-	-	+	-	-	-	-	-	-	-	-	+	-	-	-	-	-	-	-	+	+/-	-	-
7119	-	-	-	+	+	+/-	-	-	+	-	-	-	-	-	-	-	-	+	-	-	-	-	-	-	-	+/-	-	-	-
7119	-	-	-	+	-	+/-	-	-	+	-	-	-	-	-	-	-	-	+	-	-	-	-	-	-	-	-	-	-	-
7119	-	-	-	+	+/-	+/-	-	-	+	-	-	-	-	-	-	-	-	+	-	-	-	-	-	-	-	+/-	-	-	-
7119	-	-	-	+	-	-	-	-	+	-	-	-	-	-	-	-	-	+/-	-	-	-	-	-	-	-	-	-	-	-
7119	-	+	-	+	-	-	-	-	+	-	-	-	+	-	-	-	-	+	-	-	-	-	-	-	-	-	-	-	-
7119	-	-	-	+	+	+	-	-	+	-	-	-	-	-	-	-	-	+	-	-	-	-	-	-	-	+/-	+/-	-	-
7119	-	-	+/-	+	+	+/-	-	-	+	-	-	-	-	-	-	-	-	+	-	-	-	-	-	-	-	-	-	-	-
7119	-	+	-	+	-	-	-	-	+	-	-	-	-	-	-	-	-	+	-	-	-	-	-	-	-	-	-	-	-
7119	-	-	+/-	+	+	+	-	-	+	-	-	-	-	-	-	-	-	+	-	+	-	+	-	-	-	+	+	-	-
7119	-	-	-	+	-	+	-	-	+	-	-	+	-	-	-	-	-	+	-	-	-	-	-	-	-	+/-	-	-	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2
#Host	#Human
#Host Body Product	#Gastrointestinal tract

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent	Latitude	Longitude
7119	human, female, 34 years, faecal sample	United Kingdom	United Kingdom	GBR	Europe	56	-4 56/-4
67770	Human feces

Taxonmaps

69479

Global distribution of 16S sequence AJ270469 (>99% sequence identity) for Faecalibacterium from Microbeatlas

Aquatic Samples	44
Soil Samples	21
Animal Samples	3588
Plant Samples	1
Total Samples	3654

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
7119	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	ASM1050957v1 assembly for Faecalibacterium duncaniae JCM 31915	complete	GCA_010509575	853.7536	8115608573	411483	93.3
66792	ASM16201v1 assembly for Faecalibacterium duncaniae A2-165	scaffold	GCA_000162015	411483.3	645951831	411483	48.22

Genome browser: GCA_010509575

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Butyrate-producing bacterium A2-165 16S rRNA gene	AJ270469	1466		411483
124043	Faecalibacterium duncaniae JCM:31915 gene for 16S rRNA, partial sequence.	LC723851	1401		411483

GC content

@ref	GC-content (mol%)	Method
67770	49	thermal denaturation, midpoint method (Tm)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Faecalibacterium duncaniae JCM 31915
NCBI: GCA_010509575

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	95.60	no
125439	motility	BacteriaNetⓘ	no	64.60	no
125439	gram_stain	BacteriaNetⓘ	negative	95.70	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate anaerobe	99.70	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Faecalibacterium prausnitzii A2-165 JCM 31915
NCBI: GCA_010509575.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	70.76	no
125438	anaerobic	anaerobicⓘ	yes	92.09	yes
125438	aerobic	aerobicⓘ	no	95.04	yes
125438	spore-forming	spore-formingⓘ	no	64.61	no
125438	thermophilic	thermophileⓘ	no	92.66	yes
125438	flagellated	motile2+ⓘ	no	87.57	no

Literature

Title	Authors	Journal	DOI	Year
Exploring Freeze-Drying as Strategy to Enhance Viability of Faecalibacterium duncaniae DSM 17677 upon Aerobic Storage and Gastrointestinal Conditions	Machado D, Domingos M, Barbosa JC, Almeida D, Andrade JC, Freitas AC, Gomes AM.	Pharmaceutics	10.3390/pharmaceutics14122735	2022
The Microbial Anti-Inflammatory Molecule (MAM) is a key protein processed and exported to Faecalibacterium duncaniae envelope.	Vilela Rodrigues T, Marthey S, Auger S, Lima de Jesus L, Henry C, Pechoux C, Arteni A, Martin V, Langella P, de Castro Soares S, Andre G, Azevedo VAC, Chatel JM.	Gut Microbes	10.1080/19490976.2025.2519695	2025
Effect of Probiotics on Sperm Quality in the Adult Mouse.	Sanchez-Rodriguez A, Idrovo IID, Villafranca R, Latorre N, Rielo JA, Laburu A, Nieto-Roman S, Heredia D, Gonzalez R, Garcia-Canas V, Laxalde D, Simo C, Vieites DR, Roldan ERS.	Probiotics Antimicrob Proteins	10.1007/s12602-024-10388-z	2025
A Gnotobiotic Mouse Model with Divergent Equol-Producing Phenotypes: Potential for Determining Microbial-Driven Health Impacts of Soy Isoflavone Daidzein.	Leonard LM, Simpson AMR, Li S, Reddivari L, Cross TL.	Nutrients	10.3390/nu16071079	2024
Faecalibacterium duncaniae as a novel next generation probiotic against influenza.	Chollet L, Heumel S, Deruyter L, Bouilloux F, Delval L, Robert V, Gevaert MH, Pichavant M, Sencio V, Robil C, Wolowczuk I, Sokol H, Auger S, Douablin A, Langella P, Chatel JM, Grangette C, Trottein F.	Front Immunol	10.3389/fimmu.2024.1347676	2024
Environmental factors drive bacterial degradation of gastrointestinal mucus.	Arias SL, van Wijngaarden EW, Balint D, Jones J, Crawford CC, Shukla PJ, Silberstein M, Brito IL.	NPJ Biofilms Microbiomes	10.1038/s41522-025-00741-7	2025
Exploring the resilience and stability of a defined human gut microbiota consortium: An isothermal microcalorimetric study.	Kattel A, Aro V, Lahtvee PJ, Kazantseva J, Joers A, Nahku R, Belouah I.	Microbiologyopen	10.1002/mbo3.1430	2024
Correlation between Peptacetobacter hiranonis, the baiCD Gene, and Secondary Bile Acids in Dogs.	Correa Lopes B, Chen CC, Sung CH, Ishii PE, Medina LFDC, Gaschen FP, Suchodolski JS, Pilla R.	Animals (Basel)	10.3390/ani14020216	2024
Distinct in vitro utilization and degradation of porcine gastric mucin glycans by human intestinal bacteria.	de Ram C, Berkhout MD, O Pandeirada C, Vincken JP, Hooiveld GJEJ, Belzer C, Schols HA.	FEMS Microbiol Ecol	10.1093/femsec/fiaf066	2025
Structure-dependent stimulation of gut bacteria by arabinoxylo-oligosaccharides (AXOS): a review.	Leschonski KP, Mortensen MS, Hansen LBS, Krogh KBRM, Kabel MA, Laursen MF.	Gut Microbes	10.1080/19490976.2024.2430419	2024
Maternal Faecalibacterium pathobionts and low-fiber diets synergize to impact offspring health: implications for atopic dermatitis	Lee D, Park J, Park S, Hwang J, Kim S, Kee S, Kim H.	Microbiome		2025
Faecalibacterium hominis Liu et al. 2023 is a later heterotypic synonym of Faecalibacterium duncaniae Sakamoto et al. 2022.	Sakamoto M, Sakurai N, Tanno H, Iino T, Ohkuma M, Endo A.	Int J Syst Evol Microbiol	10.1099/ijsem.0.005995	2023
Heterologous Expression and Characterization of Cellouronate (beta-1,4-Glucuronan) Lyase from a Human Intestinal Bacterium Bacteroides luhongzhouii.	Tanaka Y, Matsumura K, Ariga M, Konno N, Ogata M, Habu N.	J Appl Glycosci (1999)	10.5458/jag.7203102	2025
The effect of culturing temperature on the growth of the most dominant bacterial species of human gut microbiota and harmful bacterial species.	Shimokawa H, Sakakibara H, Ami Y, Hirano R, Kurihara S.	Biosci Microbiota Food Health	10.12938/bmfh.2024-087	2025
Development of culture methods capable of culturing a wide range of predominant species of intestinal bacteria.	Hirano R, Nishita I, Nakai R, Bito A, Sasabe R, Kurihara S.	Front Cell Infect Microbiol	10.3389/fcimb.2023.1056866	2023
Metabolite-mediated interactions and direct contact between Fusobacterium varium and Faecalibacterium prausnitzii.	Hosomi K, Maruyama S, Matsuoka T, Furuta M, Tojima Y, Uchiyama K, Morita M, Kawashima H, Kobayashi T, Kunisawa J.	Microbiome	10.1186/s40168-025-02168-w	2025
Metabolic Response of Faecalibacterium prausnitzii to Cell-Free Supernatants from Lactic Acid Bacteria.	Lebas M, Garault P, Carrillo D, Codoner FM, Derrien M	Microorganisms	10.3390/microorganisms8101528	2020
Vitamin Biosynthesis by Human Gut Butyrate-Producing Bacteria and Cross-Feeding in Synthetic Microbial Communities.	Soto-Martin EC, Warnke I, Farquharson FM, Christodoulou M, Horgan G, Derrien M, Faurie JM, Flint HJ, Duncan SH, Louis P	mBio	10.1128/mBio.00886-20	2020
Exopolysaccharides Produced by Lactobacillus rhamnosus KL 53A and Lactobacillus casei Fyos Affect Their Adhesion to Enterocytes.	Konieczna C, Slodzinski M, Schmidt MT	Pol J Microbiol	10.21307/pjm-2018-032	2018
Integrated culturing, modeling and transcriptomics uncovers complex interactions and emergent behavior in a three-species synthetic gut community.	D'hoe K, Vet S, Faust K, Moens F, Falony G, Gonze D, Llorens-Rico V, Gelens L, Danckaert J, De Vuyst L, Raes J	Elife	10.7554/eLife.37090	2018
Enterococcus faecalis AHG0090 is a Genetically Tractable Bacterium and Produces a Secreted Peptidic Bioactive that Suppresses Nuclear Factor Kappa B Activation in Human Gut Epithelial Cells.	O Cuiv P, Giri R, Hoedt EC, McGuckin MA, Begun J, Morrison M	Front Immunol	10.3389/fimmu.2018.00790	2018
Age and fecal microbial strain-specific differences in patients with spondyloarthritis.	Stoll ML, Weiss PF, Weiss JE, Nigrovic PA, Edelheit BS, Bridges SL Jr, Danila MI, Spencer CH, Punaro MG, Schikler K, Reiff A, Kumar R, Cron RQ, Morrow CD, Lefkowitz EJ	Arthritis Res Ther	10.1186/s13075-018-1510-6	2018
Inulin-type fructan degradation capacity of Clostridium cluster IV and XIVa butyrate-producing colon bacteria and their associated metabolic outcomes.	Moens F, De Vuyst L	Benef Microbes	10.3920/BM2016.0142	2017
Pili-like proteins of Akkermansia muciniphila modulate host immune responses and gut barrier function.	Ottman N, Reunanen J, Meijerink M, Pietila TE, Kainulainen V, Klievink J, Huuskonen L, Aalvink S, Skurnik M, Boeren S, Satokari R, Mercenier A, Palva A, Smidt H, de Vos WM, Belzer C	PLoS One	10.1371/journal.pone.0173004	2017
Bifidobacterial inulin-type fructan degradation capacity determines cross-feeding interactions between bifidobacteria and Faecalibacterium prausnitzii.	Moens F, Weckx S, De Vuyst L	Int J Food Microbiol	10.1016/j.ijfoodmicro.2016.05.015	2016
Faecalibacterium prausnitzii A2-165 has a high capacity to induce IL-10 in human and murine dendritic cells and modulates T cell responses.	Rossi O, van Berkel LA, Chain F, Tanweer Khan M, Taverne N, Sokol H, Duncan SH, Flint HJ, Harmsen HJ, Langella P, Samsom JN, Wells JM	Sci Rep	10.1038/srep18507	2016
Enhanced butyrate formation by cross-feeding between Faecalibacterium prausnitzii and Bifidobacterium adolescentis.	Rios-Covian D, Gueimonde M, Duncan SH, Flint HJ, de los Reyes-Gavilan CG	FEMS Microbiol Lett	10.1093/femsle/fnv176	2015
The microbiota shifts the iron sensing of intestinal cells.	Deschemin JC, Noordine ML, Remot A, Willemetz A, Afif C, Canonne-Hergaux F, Langella P, Karim Z, Vaulont S, Thomas M, Nicolas G	FASEB J	10.1096/fj.15-276840	2015
Hydrodynamic chronoamperometry for probing kinetics of anaerobic microbial metabolism--case study of Faecalibacterium prausnitzii.	Prevoteau A, Geirnaert A, Arends JBA, Lannebere S, Van de Wiele T, Rabaey K	Sci Rep	10.1038/srep11484	2015
Lactobacillus rhamnosus CNCM I-3690 and the commensal bacterium Faecalibacterium prausnitzii A2-165 exhibit similar protective effects to induced barrier hyper-permeability in mice.	Laval L, Martin R, Natividad JN, Chain F, Miquel S, Desclee de Maredsous C, Capronnier S, Sokol H, Verdu EF, van Hylckama Vlieg JE, Bermudez-Humaran LG, Smokvina T, Langella P	Gut Microbes	10.4161/19490976.2014.990784	2015
Genome-scale metabolic reconstructions of Bifidobacterium adolescentis L2-32 and Faecalibacterium prausnitzii A2-165 and their interaction.	El-Semman IE, Karlsson FH, Shoaie S, Nookaew I, Soliman TH, Nielsen J	BMC Syst Biol	10.1186/1752-0509-8-41	2014
Growth requirements and fermentation products of Fusobacterium prausnitzii, and a proposal to reclassify it as Faecalibacterium prausnitzii gen. nov., comb. nov.	Duncan SH, Hold GL, Harmsen HJM, Stewart CS, Flint HJ	Int J Syst Evol Microbiol	10.1099/00207713-52-6-2141	2002
Intraspecific Diversity of Microbial Anti-Inflammatory Molecule (MAM) from Faecalibacterium prausnitzii.	Auger S, Kropp C, Borras-Nogues E, Chanput W, Andre-Leroux G, Gitton-Quent O, Benevides L, Breyner N, Azevedo V, Langella P, Chatel JM	Int J Mol Sci	10.3390/ijms23031705	2022
Species-targeted sorting and cultivation of commensal bacteria from the gut microbiome using flow cytometry under anaerobic conditions.	Bellais S, Nehlich M, Ania M, Duquenoy A, Mazier W, van den Engh G, Baijer J, Treichel NS, Clavel T, Belotserkovsky I, Thomas V	Microbiome	10.1186/s40168-021-01206-7	2022
Revealing antimicrobial resistance profile of the novel probiotic candidate Faecalibacterium prausnitzii DSM 17677.	Machado D, Barbosa JC, Domingos M, Almeida D, Andrade JC, Freitas AC, Gomes AM	Int J Food Microbiol	10.1016/j.ijfoodmicro.2021.109501	2021
Functional dissection of the phosphotransferase system provides insight into the prevalence of Faecalibacterium prausnitzii in the host intestinal environment.	Kang D, Ham HI, Lee SH, Cho YJ, Kim YR, Yoon CK, Seok YJ	Environ Microbiol	10.1111/1462-2920.15681	2021
Prophylactic Faecalibacterium prausnitzii treatment prevents the acute breakdown of colonic epithelial barrier in a preclinical model of pelvic radiation disease.	Lapiere A, Geiger M, Robert V, Demarquay C, Auger S, Chadi S, Benadjaoud M, Fernandes G, Milliat F, Langella P, Benderitter M, Chatel JM, Semont A	Gut Microbes	10.1080/19490976.2020.1812867	2020
On neotypes and nomina nova: commentary on "Comparative analysis of Faecalibacterium prausnitzii genomes shows a high level of genome plasticity and warrants separation into new species-level taxa", by C.B. Fitzgerald et al. (BMC Genomics (2018) 19:931).	Oren A, Garrity GM	BMC Genomics	10.1186/s12864-020-6680-3	2020
Comparative analysis of Faecalibacterium prausnitzii genomes shows a high level of genome plasticity and warrants separation into new species-level taxa.	Fitzgerald CB, Shkoporov AN, Sutton TDS, Chaplin AV, Velayudhan V, Ross RP, Hill C	BMC Genomics	10.1186/s12864-018-5313-6	2018
Anti-nociceptive effect of Faecalibacterium prausnitzii in non-inflammatory IBS-like models.	Miquel S, Martin R, Lashermes A, Gillet M, Meleine M, Gelot A, Eschalier A, Ardid D, Bermudez-Humaran LG, Sokol H, Thomas M, Theodorou V, Langella P, Carvalho FA	Sci Rep	10.1038/srep19399	2016
Faecalibacterium prausnitzii subspecies-level dysbiosis in the human gut microbiome underlying atopic dermatitis.	Song H, Yoo Y, Hwang J, Na YC, Kim HS	J Allergy Clin Immunol	10.1016/j.jaci.2015.08.021	2015
Faecalibacterium prausnitzii Strain HTF-F and Its Extracellular Polymeric Matrix Attenuate Clinical Parameters in DSS-Induced Colitis.	Rossi O, Khan MT, Schwarzer M, Hudcovic T, Srutkova D, Duncan SH, Stolte EH, Kozakova H, Flint HJ, Samsom JN, Harmsen HJ, Wells JM	PLoS One	10.1371/journal.pone.0123013	2015
Identification of metabolic signatures linked to anti-inflammatory effects of Faecalibacterium prausnitzii.	Miquel S, Leclerc M, Martin R, Chain F, Lenoir M, Raguideau S, Hudault S, Bridonneau C, Northen T, Bowen B, Bermudez-Humaran LG, Sokol H, Thomas M, Langella P	mBio	10.1128/mBio.00300-15	2015
Faecalibacterium prausnitzii prevents physiological damages in a chronic low-grade inflammation murine model.	Martin R, Miquel S, Chain F, Natividad JM, Jury J, Lu J, Sokol H, Theodorou V, Bercik P, Verdu EF, Langella P, Bermudez-Humaran LG	BMC Microbiol	10.1186/s12866-015-0400-1	2015
Functional metabolic map of Faecalibacterium prausnitzii, a beneficial human gut microbe.	Heinken A, Khan MT, Paglia G, Rodionov DA, Harmsen HJ, Thiele I	J Bacteriol	10.1128/JB.01780-14	2014
The commensal bacterium Faecalibacterium prausnitzii is protective in DNBS-induced chronic moderate and severe colitis models.	Martin R, Chain F, Miquel S, Lu J, Gratadoux JJ, Sokol H, Verdu EF, Bercik P, Bermudez-Humaran LG, Langella P	Inflamm Bowel Dis	10.1097/01.MIB.0000440815.76627.64	2014
Faecalibacterium prausnitzii and human intestinal health.	Miquel S, Martin R, Rossi O, Bermudez-Humaran LG, Chatel JM, Sokol H, Thomas M, Wells JM, Langella P	Curr Opin Microbiol	10.1016/j.mib.2013.06.003	2013
Is the abundance of Faecalibacterium prausnitzii relevant to Crohn's disease?	Jia W, Whitehead RN, Griffiths L, Dawson C, Waring RH, Ramsden DB, Hunter JO, Cole JA	FEMS Microbiol Lett	10.1111/j.1574-6968.2010.02057.x	2010
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

#7119	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 17677
#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 )
#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 .
#124043	Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy .
#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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Faecalibacterium duncaniae (DSM 17677, JCM 31915, A2-165)

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