Anaerofustis stercorihominis (DSM 17244, ATCC BAA-858, CCUG 47767)

Name: Anaerofustis stercorihominis (DSM 17244, ATCC BAA-858, CCUG 47767)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 5413

Type strain

Culture col. no. DSM 17244 ATCC BAA-858 CCUG 47767 CIP 108481 WAL 14563 1 more

NCBI tax ID(s) 445971 214853

Special Collections DSMZ CCUG KCTC CIP

History DSMZ <- CCUG <- Y.Song, VAMC KCTC <- CCUG <- Y Song, WAL 14563 CIP <- 2004, CCUG <- 2003, Y. Song, VAMC, Los Angeles, USA

Links

Anaerofustis stercorihominis DSM 17244 is an anaerobe, rod-shaped bacterium that was isolated from human feces, autistic child.

rod-shaped anaerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 132772

KCTC 15239,ATCC BAA-858,CCUG 47767,CIP 108481,DSM 17244

@ref 20215

Last LPSN update 2026-05-29 08:26:10

Domain Bacteria

Phylum Bacillota

Class Clostridia

Order Eubacteriales

Family Eubacteriaceae

Genus Anaerofustis

Species Anaerofustis stercorihominis

Full scientific name Anaerofustis stercorihominis Finegold et al. 2004

BacDive ID	Other strains from **Anaerofustis stercorihominis** (1)	Type strain
131107	A. stercorihominis WHC-424-CC-1, DSM 28733

Morphology

Cell morphology

@ref	Cell shape	Gram stain
67771	rod-shaped
67771		positive
123311	rod-shaped

Colony morphology

123311

Hemolysis ability1

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
6851	BIFIDOBACTERIUM MEDIUM (DSMZ Medium 58)	Medium recipe at MediaDive	Name: BIFIDOBACTERIUM MEDIUM (DSMZ Medium 58) Composition: Glucose 10.0 g/l Casein peptone 10.0 g/l Bacto Soytone 5.0 g/l Meat extract 5.0 g/l Yeast extract 5.0 g/l L-Cysteine HCl x H2O 0.5 g/l NaHCO3 0.4 g/l NaCl 0.08 g/l MnSO4 x H2O 0.05 g/l KH2PO4 0.04 g/l K2HPO4 0.04 g/l MgSO4 x 7 H2O 0.02 g/l CaCl2 x 2 H2O 0.01 g/l Tween 80 Resazurin Distilled water
33967	MEDIUM 6 - Columbia agar with 10 % horse blood		Distilled water make up to (1000.000 ml);Columbia agar (39.000 g);Horseblood (100.000 ml)
123311	CIP Medium 6	Medium recipe at CIP
123311	CIP Medium 20	Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)
6851	positive	growth	37
33967	positive	growth	37
57858	positive	growth	37
67771	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
6851	anaerobe
57858	anaerobe
67771	anaerobe
125439	anaerobe	95.462
123311	anaerobe

Spore formation

@ref	Spore formation	Confidence
125439		92.746

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68380	29016 ChEBI	arginine	-	hydrolysis	from API rID32A
123311	17057 ChEBI	cellobiose	-	degradation
123311	17108 ChEBI	D-arabinose	-	degradation
123311	15824 ChEBI	D-fructose	+	degradation
123311	17634 ChEBI	D-glucose	-	degradation
68380	16024 ChEBI	D-mannose	-	fermentation	from API rID32A
123311	65327 ChEBI	D-xylose	-	degradation
123311	4853 ChEBI	esculin	-	hydrolysis
68380	29985 ChEBI	L-glutamate	-	degradation	from API rID32A
123311	17716 ChEBI	lactose	-	degradation
123311	17306 ChEBI	maltose	-	degradation
123311	17632 ChEBI	nitrate	-	reduction
123311	17632 ChEBI	nitrate	+	respiration
68380	17632 ChEBI	nitrate	-	reduction	from API rID32A
123311	16301 ChEBI	nitrite	-	reduction
68380	16634 ChEBI	raffinose	-	fermentation	from API rID32A
123311	17814 ChEBI	salicin	-	degradation
123311	17992 ChEBI	sucrose	-	degradation
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
123311	35581 ChEBI	indole

Metabolite tests

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

Enzymes

@ref	Value	Activity	Ec
68382	acid phosphatase	+	3.1.3.2	from API zym
68380	alanine arylamidase	-	3.4.11.2	from API rID32A
68382	alkaline phosphatase	-	3.1.3.1	from API zym
68380	alkaline phosphatase	-	3.1.3.1	from API rID32A
68380	alpha-arabinosidase	-	3.2.1.55	from API rID32A
68382	alpha-chymotrypsin	-	3.4.21.1	from API zym
68382	alpha-fucosidase	-	3.2.1.51	from API zym
68380	alpha-fucosidase	-	3.2.1.51	from API rID32A
68382	alpha-galactosidase	-	3.2.1.22	from API zym
68380	alpha-galactosidase	-	3.2.1.22	from API rID32A
68382	alpha-glucosidase	-	3.2.1.20	from API zym
68380	alpha-glucosidase	-	3.2.1.20	from API rID32A
68382	alpha-mannosidase	-	3.2.1.24	from API zym
123311	amylase	-
68380	arginine dihydrolase	-	3.5.3.6	from API rID32A
68382	beta-galactosidase	-	3.2.1.23	from API zym
123311	beta-galactosidase	-	3.2.1.23
68380	beta-galactosidase	-	3.2.1.23	from API rID32A
68380	beta-Galactosidase 6-phosphate	-		from API rID32A
68382	beta-glucosidase	-	3.2.1.21	from API zym
68380	beta-glucosidase	-	3.2.1.21	from API rID32A
68382	beta-glucuronidase	-	3.2.1.31	from API zym
68380	beta-glucuronidase	-	3.2.1.31	from API rID32A
123311	caseinase	-	3.4.21.50
123311	catalase	-	1.11.1.6
68382	cystine arylamidase	-	3.4.11.3	from API zym
123311	DNase	-
68382	esterase (C 4)	-		from API zym
68382	esterase lipase (C 8)	-		from API zym
123311	gelatinase	-
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
123311	lecithinase	-
68382	leucine arylamidase	-	3.4.11.1	from API zym
68380	leucine arylamidase	-	3.4.11.1	from API rID32A
68380	leucyl glycin arylamidase	-	3.4.11.1	from API rID32A
123311	lipase	-
68382	lipase (C 14)	-		from API zym
68382	N-acetyl-beta-glucosaminidase	-	3.2.1.52	from API zym
68380	N-acetyl-beta-glucosaminidase	-	3.2.1.52	from API rID32A
68382	naphthol-AS-BI-phosphohydrolase	+		from API zym
123311	oxidase	-
68380	phenylalanine arylamidase	-		from API rID32A
68380	proline-arylamidase	-	3.4.11.5	from API rID32A
123311	protease	-
68380	pyrrolidonyl arylamidase	-	3.4.19.3	from API rID32A
68380	serine arylamidase	-		from API rID32A
68382	trypsin	-	3.4.21.4	from API zym
68380	tryptophan deaminase	-	4.1.99.1	from API rID32A
123311	tween esterase	-
68380	tyrosine arylamidase	-		from API rID32A
123311	urease	-	3.5.1.5
68380	urease	-	3.5.1.5	from API rID32A
68382	valine arylamidase	-		from API zym

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	adipate degradation	100	2 of 2
66794	suberin monomers biosynthesis	100	2 of 2
66794	teichoic acid biosynthesis	100	1 of 1
66794	coenzyme A metabolism	100	4 of 4
66794	cis-vaccenate biosynthesis	100	2 of 2
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	ppGpp biosynthesis	100	4 of 4
66794	ribulose monophosphate pathway	100	2 of 2
66794	folate polyglutamylation	100	1 of 1
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	aspartate and asparagine metabolism	88.89	8 of 9
66794	chorismate metabolism	88.89	8 of 9
66794	peptidoglycan biosynthesis	86.67	13 of 15
66794	vitamin B1 metabolism	84.62	11 of 13
66794	photosynthesis	78.57	11 of 14
66794	NAD metabolism	77.78	14 of 18
66794	valine metabolism	77.78	7 of 9
66794	C4 and CAM-carbon fixation	75	6 of 8
66794	degradation of sugar alcohols	75	12 of 16
66794	isoleucine metabolism	75	6 of 8
66794	acetate fermentation	75	3 of 4
66794	sulfopterin metabolism	75	3 of 4
66794	pentose phosphate pathway	72.73	8 of 11
66794	reductive acetyl coenzyme A pathway	71.43	5 of 7
66794	cardiolipin biosynthesis	71.43	5 of 7
66794	phenylalanine metabolism	69.23	9 of 13
66794	serine metabolism	66.67	6 of 9
66794	acetoin degradation	66.67	2 of 3
66794	L-lactaldehyde degradation	66.67	2 of 3
66794	enterobactin biosynthesis	66.67	2 of 3
66794	formaldehyde oxidation	66.67	2 of 3
66794	octane oxidation	66.67	2 of 3
66794	purine metabolism	64.89	61 of 94
66794	glycolysis	64.71	11 of 17
66794	pyrimidine metabolism	64.44	29 of 45
66794	glutamate and glutamine metabolism	64.29	18 of 28
66794	ketogluconate metabolism	62.5	5 of 8
66794	histidine metabolism	62.07	18 of 29
66794	urea cycle	61.54	8 of 13
66794	methionine metabolism	61.54	16 of 26
66794	hydrogen production	60	3 of 5
66794	lipoate biosynthesis	60	3 of 5
66794	glycine betaine biosynthesis	60	3 of 5
66794	methylglyoxal degradation	60	3 of 5
66794	propanol degradation	57.14	4 of 7
66794	molybdenum cofactor biosynthesis	55.56	5 of 9
66794	alanine metabolism	55.17	16 of 29
66794	arginine metabolism	54.17	13 of 24
66794	non-pathway related	52.63	20 of 38
66794	Entner Doudoroff pathway	50	5 of 10
66794	pantothenate biosynthesis	50	3 of 6
66794	tyrosine metabolism	50	7 of 14
66794	glycogen biosynthesis	50	2 of 4
66794	kanosamine biosynthesis II	50	1 of 2
66794	glycolate and glyoxylate degradation	50	3 of 6
66794	vitamin E metabolism	50	2 of 4
66794	CMP-KDO biosynthesis	50	2 of 4
66794	ethanol fermentation	50	1 of 2
66794	cysteine metabolism	50	9 of 18
66794	toluene degradation	50	2 of 4
66794	lactate fermentation	50	2 of 4
66794	biotin biosynthesis	50	2 of 4
66794	gluconeogenesis	50	4 of 8
66794	selenocysteine biosynthesis	50	3 of 6
66794	propionate fermentation	50	5 of 10
66794	phenylmercury acetate degradation	50	1 of 2
66794	butanoate fermentation	50	2 of 4
66794	oxidative phosphorylation	47.25	43 of 91
66794	leucine metabolism	46.15	6 of 13
66794	proline metabolism	45.45	5 of 11
66794	vitamin B6 metabolism	45.45	5 of 11
66794	tryptophan metabolism	44.74	17 of 38
66794	d-mannose degradation	44.44	4 of 9
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	isoprenoid biosynthesis	42.31	11 of 26
66794	lipid metabolism	41.94	13 of 31
66794	degradation of aromatic, nitrogen containing compounds	41.67	5 of 12
66794	starch degradation	40	4 of 10
66794	4-hydroxyphenylacetate degradation	40	4 of 10
66794	arachidonate biosynthesis	40	2 of 5
66794	degradation of pentoses	39.29	11 of 28
66794	sulfate reduction	38.46	5 of 13
66794	carnitine metabolism	37.5	3 of 8
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	37.5	3 of 8
66794	d-xylose degradation	36.36	4 of 11
66794	metabolism of disaccharids	36.36	4 of 11
66794	glutathione metabolism	35.71	5 of 14
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	sphingosine metabolism	33.33	2 of 6
66794	arachidonic acid metabolism	33.33	6 of 18
66794	degradation of hexoses	33.33	6 of 18
66794	lipid A biosynthesis	33.33	3 of 9
66794	lysine metabolism	33.33	14 of 42
66794	cyanate degradation	33.33	1 of 3
66794	IAA biosynthesis	33.33	1 of 3
66794	phenylpropanoid biosynthesis	30.77	4 of 13
66794	myo-inositol biosynthesis	30	3 of 10
66794	coenzyme M biosynthesis	30	3 of 10
66794	glycine metabolism	30	3 of 10
66794	bile acid biosynthesis, neutral pathway	29.41	5 of 17
66794	benzoyl-CoA degradation	28.57	2 of 7
66794	ascorbate metabolism	27.27	6 of 22
66794	flavin biosynthesis	26.67	4 of 15
66794	polyamine pathway	26.09	6 of 23
66794	cyclohexanol degradation	25	1 of 4
66794	4-hydroxymandelate degradation	22.22	2 of 9
66794	nitrate assimilation	22.22	2 of 9

API zym

@ref	Control	Alkaline phosphatase	Esterase (C 4)	2-naphtyl caprylateEsterase Lipase (C 8)	Lipase (C 14)	L-leucyl-2-naphthylamideLeucine arylamidase	L-valyl-2-naphthylamideValine arylamidase	L-cystyl-2-naphthylamideCystine arylamidase	Trypsin	alpha- Chymotrypsin	Acid phosphatase	Naphthol-AS-BI-phosphateNaphthol-AS-BI-phosphohydrolase	alpha- Galactosidase	beta- Galactosidase	beta- Glucuronidase	alpha- Glucosidase	beta- Glucosidase	N-acetyl-beta- glucosaminidase	alpha- Mannosidase	alpha- Fucosidase
123311	-	-	-	-	-	-	-	-	-	-	+	+	-	-	-	-	-	-	-	-

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
6851	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
6851	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-

Isolation, sampling and environmental information

Isolation source categories

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

Isolation

@ref	Sample type	Host species	Geographic location	Country	Country ISO 3 Code	Continent
6851	human feces, autistic child	Homo sapiens	Los Angeles	USA	USA	North America
57858	Human feces,6-yr-old autistic boy	Homo sapiens		USA	USA	North America
67771	From human feces, autistic child	Homo sapiens	Los Angeles	USA	USA	North America
123311	Human, Feces	Homo sapiens		United States of America	USA	North America

Taxonmaps

69479

Global distribution of 16S sequence AJ518871 (>99% sequence identity) for Anaerofustis stercorihominis subclade from Microbeatlas

Aquatic Samples	375
Soil Samples	177
Animal Samples	19796
Plant Samples	85
Total Samples	20433

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
6851	1	Risk group (German classification) According to TRBA 466
123311	1	Risk group (French classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67771	ASM15482v1 assembly for Anaerofustis stercorihominis DSM 17244	scaffold	GCA_000154825	445971.6	641736193	445971	76.71

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
6851	Anaerofustis stercorihominis 16S rRNA gene, type strain wal 14563	AJ518871	1462		445971

GC content

@ref	GC-content (mol%)
6851	70
67771	70.0

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM15482v1 assembly for Anaerofustis stercorihominis DSM 17244
BV-BRC: 445971.6

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	95.46	no
125439	gram_stain	BacteriaNetⓘ	negative	65.39	no
125439	motility	BacteriaNetⓘ	no	62.27	no
125439	spore_formation	BacteriaNetⓘ	no	92.75	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Anaerofustis stercorihominis DSM 17244
PATRIC: 445971.6

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	78.48	yes
125438	anaerobic	anaerobicⓘ	yes	87.40	no
125438	spore-forming	spore-formingⓘ	no	61.73	no
125438	aerobic	aerobicⓘ	no	97.92	yes
125438	thermophilic	thermophileⓘ	no	87.47	no
125438	flagellated	motile2+ⓘ	no	85.03	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Metabolomic Insights into the Antimicrobial Effects of Metschnikowia Yeast on Phytopathogens	Perek Z, Krupa S, Niziol J, Kregiel D, Ruman T, Gutarowska B.	Molecules		2025
Metabolism	Strain dropouts reveal interactions that govern the metabolic output of the gut microbiome.	Wang M, Osborn LJ, Jain S, Meng X, Weakley A, Yan J, Massey WJ, Varadharajan V, Horak A, Banerjee R, Allende DS, Chan ER, Hajjar AM, Wang Z, Dimas A, Zhao A, Nagashima K, Cheng AG, Higginbottom S, Hazen SL, Brown JM, Fischbach MA.	Cell	10.1016/j.cell.2023.05.037	2023
	Antimicrobial Activities of Plant Extracts against Solanum tuberosum L. Phytopathogens.	Steglinska A, Bekhter A, Wawrzyniak P, Kunicka-Styczynska A, Jastrzabek K, Fidler M, Smigielski K, Gutarowska B.	Molecules	10.3390/molecules27051579	2022
Pathogenicity	Metabolite Formation by Fungal Pathogens of Potatoes (Solanum tuberosum L.) in the Presence of Bioprotective Agents.	Steglinska A, Sulyok M, Janas R, Grzesik M, Liszkowska W, Kregiel D, Gutarowska B.	Int J Environ Res Public Health	10.3390/ijerph20065221	2023
Genetics	Comparative Genomic Analysis of Three Pseudomonas Species Isolated from the Eastern Oyster (Crassostrea virginica) Tissues, Mantle Fluid, and the Overlying Estuarine Water Column.	Pathak A, Stothard P, Chauhan A.	Microorganisms	10.3390/microorganisms9030490	2021
	The Metadata Coverage Index (MCI): A standardized metric for quantifying database metadata richness.	Liolios K, Schriml L, Hirschman L, Pagani I, Nosrat B, Sterk P, White O, Rocca-Serra P, Sansone SA, Taylor C, Kyrpides NC, Field D.	Stand Genomic Sci	10.4056/sigs.2675953	2012
	Genomic Insights into the Distribution and Phylogeny of Glycopeptide Resistance Determinants within the Actinobacteria Phylum.	Andreo-Vidal A, Binda E, Fedorenko V, Marinelli F, Yushchuk O.	Antibiotics (Basel)	10.3390/antibiotics10121533	2021
	In silico identification of bacteriocin gene clusters in the gastrointestinal tract, based on the Human Microbiome Project's reference genome database.	Walsh CJ, Guinane CM, Hill C, Ross RP, O'Toole PW, Cotter PD.	BMC Microbiol	10.1186/s12866-015-0515-4	2015
Metabolism	Biological systems discovery in silico: radical S-adenosylmethionine protein families and their target peptides for posttranslational modification.	Haft DH, Basu MK.	J Bacteriol	10.1128/jb.00040-11	2011
	Design, construction, and in vivo augmentation of a complex gut microbiome.	Cheng AG, Ho PY, Aranda-Diaz A, Jain S, Yu FB, Meng X, Wang M, Iakiviak M, Nagashima K, Zhao A, Murugkar P, Patil A, Atabakhsh K, Weakley A, Yan J, Brumbaugh AR, Higginbottom S, Dimas A, Shiver AL, Deutschbauer A, Neff N, Sonnenburg JL, Huang KC, Fischbach MA.	Cell	10.1016/j.cell.2022.08.003	2022
Enzymology	Microbiological evaluation of the new VITEK 2 Neisseria-Haemophilus identification card.	Valenza G, Ruoff C, Vogel U, Frosch M, Abele-Horn M.	J Clin Microbiol	10.1128/jcm.00953-07	2007
Phylogeny	Genomic features of a bumble bee symbiont reflect its host environment.	Martinson VG, Magoc T, Koch H, Salzberg SL, Moran NA.	Appl Environ Microbiol	10.1128/aem.00322-14	2014
	Top-down proteomic identification of furin-cleaved alpha-subunit of Shiga toxin 2 from Escherichia coli O157:H7 using MALDI-TOF-TOF-MS/MS.	Fagerquist CK, Sultan O.	J Biomed Biotechnol	10.1155/2010/123460	2010
Metabolism	Functional diversity among metallo-beta-lactamases: characterization of the CAR-1 enzyme of Erwinia carotovora.	Stoczko M, Frere JM, Rossolini GM, Docquier JD.	Antimicrob Agents Chemother	10.1128/aac.01062-07	2008
	The RepA_N replicons of Gram-positive bacteria: a family of broadly distributed but narrow host range plasmids.	Weaver KE, Kwong SM, Firth N, Francia MV.	Plasmid	10.1016/j.plasmid.2008.11.004	2009
Genetics	FSL J1-208, a virulent uncommon phylogenetic lineage IV Listeria monocytogenes strain with a small chromosome size and a putative virulence plasmid carrying internalin-like genes.	den Bakker HC, Bowen BM, Rodriguez-Rivera LD, Wiedmann M.	Appl Environ Microbiol	10.1128/aem.06969-11	2012
Genetics	Trichomonas vaginalis vast BspA-like gene family: evidence for functional diversity from structural organisation and transcriptomics.	Noel CJ, Diaz N, Sicheritz-Ponten T, Safarikova L, Tachezy J, Tang P, Fiori PL, Hirt RP.	BMC Genomics	10.1186/1471-2164-11-99	2010
	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
	Multiomics approach reveals the comprehensive interactions between nutrition and children's gut microbiota, and microbial and host metabolomes.	Zhu M, Wang Q, Yang Y, Liu X, Zhang J, Li G, Liu W, Xiang X, Chen J.	Nutr J	10.1186/s12937-025-01116-6	2025
Pathogenicity	Ginger Polyphenols Reverse Molecular Signature of Amygdala Neuroimmune Signaling and Modulate Microbiome in Male Rats with Neuropathic Pain: Evidence for Microbiota-Gut-Brain Axis.	Shen CL, Santos JM, Elmassry MM, Bhakta V, Driver Z, Ji G, Yakhnitsa V, Kiritoshi T, Lovett J, Hamood AN, Sang S, Neugebauer V.	Antioxidants (Basel)	10.3390/antiox13050502	2024
	Pharmaco-psychiatry and gut microbiome: a systematic review of effects of psychotropic drugs for bipolar disorder.	Bui TA, O'Croinin BR, Dennett L, Winship IR, Greenshaw AJ.	Microbiology (Reading)	10.1099/mic.0.001568	2025
	Effects of Sodium-Glucose Cotransporter-2 Inhibitors on Modulating Protein-Bound Uremic Toxins and Gut Microbiota in Predialysis CKD Patients: Matched Case-Control Study.	Hsu CK, Chang LC, Chen YT, Chen CY, Hsu HR, Bai S, Lee CC, Lee CC, Jangir H, Sun CY, Su SC, Wu IW.	Kidney360	10.34067/kid.0000000792	2025
	Characterization of the gut microbiota and fecal and blood metabolomes under various factors in urban children from Northwest China.	Yang Y, Chen J, Gao H, Cui M, Zhu M, Xiang X, Wang Q.	Front Cell Infect Microbiol	10.3389/fcimb.2024.1374544	2024
Metabolism	Combined metagenomic and metabolomic analyses reveal gut microbiota dysbiosis and metabolic dysfunction in pediatric neurodevelopmental disorders.	Wang Q, Luo Y, Mao C, Xiang X, Chen J.	Front Immunol	10.3389/fimmu.2025.1645137	2025
	Crosstalk Among Gut Microbiota, Fecal Metabolites, and Amygdala Neuropathology Genes After Ginger Polyphenol Administration in Female Rats with Neuropathic Pain: Evidence for Microbiota-Gut-Brain Connection.	Shen CL, Santos JM, Elmassry MM, Chen F, Ji G, Presto P, Kiritoshi T, Liu X, Neugebauer V.	Nutrients	10.3390/nu17091444	2025
Phylogeny	Gut microbiome correlates with plasma lipids in amyotrophic lateral sclerosis.	Guo K, Figueroa-Romero C, Noureldein MH, Murdock BJ, Savelieff MG, Hur J, Goutman SA, Feldman EL.	Brain	10.1093/brain/awad306	2024
	Yeast mannan rich fraction positively influences microbiome uniformity, productivity associated taxa, and lay performance.	Leigh RJ, Corrigan A, Murphy RA, Taylor-Pickard J, Moran CA, Walsh F.	Anim Microbiome	10.1186/s42523-024-00295-7	2024
	Beneficial Effects of Ginger Root Extract on Pain Behaviors, Inflammation, and Mitochondrial Function in the Colon and Different Brain Regions of Male and Female Neuropathic Rats: A Gut-Brain Axis Study.	Santos JM, Deshmukh H, Elmassry MM, Yakhnitsa V, Ji G, Kiritoshi T, Presto P, Antenucci N, Liu X, Neugebauer V, Shen CL.	Nutrients	10.3390/nu16203563	2024
	Early Developmental Exposure to Triclosan Impacts Fecal Microbial Populations, IgA and Functional Activities of the Rat Microbiome.	Lahiani M, Gokulan K, Sutherland V, Cunny HC, Cerniglia CE, Khare S.	J Xenobiot	10.3390/jox14010012	2024
	Gut Microbiota Composition and Metabolic Potential of Long-Living People in China.	Zhang S, Ning R, Zeng B, Deng F, Kong F, Guo W, Zhao J, Li Y.	Front Aging Neurosci	10.3389/fnagi.2022.820108	2022
	The Effects of Bacillus licheniformis-Fermented Products on the Microbiota and Clinical Presentation of Cats with Chronic Diarrhea.	Lee TW, Chao TY, Chang HW, Cheng YH, Wu CH, Chang YC.	Animals (Basel)	10.3390/ani12172187	2022
Metabolism	Humoral Immunity Profiling of Subjects with Myalgic Encephalomyelitis Using a Random Peptide Microarray Differentiates Cases from Controls with High Specificity and Sensitivity.	Singh S, Stafford P, Schlauch KA, Tillett RR, Gollery M, Johnston SA, Khaiboullina SF, De Meirleir KL, Rawat S, Mijatovic T, Subramanian K, Palotas A, Lombardi VC.	Mol Neurobiol	10.1007/s12035-016-0334-0	2018
Pathogenicity	Intestinal microbiome and metabolome signatures in patients with chronic granulomatous disease.	Chandrasekaran P, Han Y, Zerbe CS, Heller T, DeRavin SS, Kreuzberg SA, Marciano BE, Siu Y, Jones DR, Abraham RS, Stephens MC, Tsou AM, Snapper S, Conlan S, Subramanian P, Quinones M, Grou C, Calderon V, Deming C, Leiding JW, Arnold DE, Logan BR, Griffith LM, Petrovic A, Mousallem TI, Kapoor N, Heimall JR, Barnum JL, Kapadia M, Wright N, Rayes A, Chandra S, Broglie LA, Chellapandian D, Deal CL, Grunebaum E, Lim SS, Mallhi K, Marsh RA, Murguia-Favela L, Parikh S, Touzot F, Cowan MJ, Dvorak CC, Haddad E, Kohn DB, Notarangelo LD, Pai SY, Puck JM, Pulsipher MA, Torgerson TR, Kang EM, Malech HL, Segre JA, Bryant CE, Holland SM, Falcone EL.	J Allergy Clin Immunol	10.1016/j.jaci.2023.07.022	2023
	Targeting gut microbiota-derived kynurenine to predict and protect the remodeling of the pressure-overloaded young heart.	Shi B, Zhang X, Song Z, Dai Z, Luo K, Chen B, Zhou Z, Cui Y, Feng B, Zhu Z, Zheng J, Zhang H, He X.	Sci Adv	10.1126/sciadv.adg7417	2023
Enzymology	The high prevalence of Clostridioides difficile among nursing home elders associates with a dysbiotic microbiome.	Haran JP, Ward DV, Bhattarai SK, Loew E, Dutta P, Higgins A, McCormick BA, Bucci V.	Gut Microbes	10.1080/19490976.2021.1897209	2021
Genetics	Population-Genomic Insights into Variation in Prevotella intermedia and Prevotella nigrescens Isolates and Its Association with Periodontal Disease.	Zhang Y, Zhen M, Zhan Y, Song Y, Zhang Q, Wang J.	Front Cell Infect Microbiol	10.3389/fcimb.2017.00409	2017
	Intestinal Microbiota and Relapse After Hematopoietic-Cell Transplantation.	Peled JU, Devlin SM, Staffas A, Lumish M, Khanin R, Littmann ER, Ling L, Kosuri S, Maloy M, Slingerland JB, Ahr KF, Porosnicu Rodriguez KA, Shono Y, Slingerland AE, Docampo MD, Sung AD, Weber D, Alousi AM, Gyurkocza B, Ponce DM, Barker JN, Perales MA, Giralt SA, Taur Y, Pamer EG, Jenq RR, van den Brink MRM.	J Clin Oncol	10.1200/jco.2016.70.3348	2017
Metabolism	Genetic diversity of hydrogen-producing bacteria in an acidophilic ethanol-H2-coproducing system, analyzed using the [Fe]-hydrogenase gene.	Xing D, Ren N, Rittmann BE.	Appl Environ Microbiol	10.1128/aem.01946-07	2008
Metabolism	Crystal structure of Brucella abortus deoxyxylulose-5-phosphate reductoisomerase-like (DRL) enzyme involved in isoprenoid biosynthesis.	Perez-Gil J, Calisto BM, Behrendt C, Kurz T, Fita I, Rodriguez-Concepcion M.	J Biol Chem	10.1074/jbc.m112.354811	2012
Metabolism	Histidine phosphotransfer proteins in fungal two-component signal transduction pathways.	Fassler JS, West AH.	Eukaryot Cell	10.1128/ec.00083-13	2013
	The first 1000 cultured species of the human gastrointestinal microbiota.	Rajilic-Stojanovic M, de Vos WM.	FEMS Microbiol Rev	10.1111/1574-6976.12075	2014
	Identification and Characterization of Two Novel Members of the Family Eubacteriaceae, Anaerofustis butyriciformans sp. nov. and Pseudoramibacter faecis sp. nov., Isolated from Human Feces.	Wang XM, Huang HJ, Sun XW, Wei RQ, Chen HY, Liu C, Liu SJ.	Microorganisms	10.3390/microorganisms13040916	2025
Phylogeny	Anaerofustis stercorihominis gen. nov., sp. nov., from human feces.	Finegold SM, Lawson PA, Vaisanen ML, Molitoris DR, Song Y, Liu C, Collins MD	Anaerobe	10.1016/j.anaerobe.2003.10.002	2004

References

#6851	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 17244
#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 )
#33967	; Curators of the CIP;
#57858	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 47767
#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 )
#67771	Korean Collection for Type Cultures (KCTC) ; Curators of the KCTC;
#68380	Automatically annotated from API rID32A .
#68382	Automatically annotated from API zym .
#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 .
#123311	Collection of Institut Pasteur ; Curators of the CIP; CIP 108481
#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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Anaerofustis stercorihominis (DSM 17244, ATCC BAA-858, CCUG 47767)

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