Bacteroides cellulosilyticus (DSM 14838, CCUG 44979, JCM 15632)

Name: Bacteroides cellulosilyticus (DSM 14838, CCUG 44979, JCM 15632)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 1623

Type strain

Strain Designation CRE21

Culture col. no. DSM 14838 CCUG 44979 JCM 15632 CRE21

NCBI tax ID(s) 537012 246787

Special Collections DSMZ CCUG JCM Literature strains

Links

Bacteroides cellulosilyticus CRE21 is an anaerobe, mesophilic, Gram-negative prokaryote that was isolated from human faeces.

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

Name and taxonomic classification

SI-ID 402776

JCM 15632,DSM 14838,CCUG 44979

@ref 20215

Last LPSN update 2025-12-16 09:47:09

Domain Pseudomonadati

Phylum Bacteroidota

Class Bacteroidia

Order Bacteroidales

Family Bacteroidaceae

Genus Bacteroides

Species Bacteroides cellulosilyticus

Full scientific name Bacteroides cellulosilyticus Robert et al. 2007

BacDive ID	Other strains from **Bacteroides cellulosilyticus** (5)	Type strain
154992	B. cellulosilyticus CCUG 56000
156628	B. cellulosilyticus CCUG 63746
156915	B. cellulosilyticus CCUG 67021
158127	B. cellulosilyticus H5_4, DSM 108229
163977	B. cellulosilyticus JCM 31249

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape
32120	negative	1.7 µm	0.9 µm	rod-shaped
28365	negative	1.7 µm	0.9 µm	rod-shaped
125438	negative
125439	negative

Colony morphology

@ref	Type of hemolysis	Hemolysis ability	Incubation period
5571	beta	1	1-2 days
28365

Pigmentation

32120

Productionyes

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
5571	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
5571	CHOPPED MEAT MEDIUM (DSMZ Medium 78)	Medium recipe at MediaDive	Name: CHOPPED MEAT MEDIUM (DSMZ Medium 78) Composition: Ground beef 500.0 g/l Casitone 30.0 g/l Agar 15.0 g/l Ethanol 9.5 g/l (optional) K2HPO4 5.0 g/l Yeast extract 5.0 g/l L-Cysteine HCl 0.5 g/l Haemin 0.005 g/l (optional) Resazurin 0.001 g/l Vitamin K3 0.0005 g/l (optional) Vitamin K1 (optional) NaOH (optional) Distilled water
28365	glucose-BC agar

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
5571	positive	growth	37	mesophilic
28365	positive	optimum	37	mesophilic
28365	positive	growth	30-39	mesophilic
32120	positive	growth	30-39	mesophilic
32120	positive	optimum	37	mesophilic
67770	positive	growth	37	mesophilic

Culture pH

@ref	Ability	Type	PH
32120	positive	optimum	6.8
28365	positive	optimum	6.8
32120	positive	growth	6.5-7.2
28365	positive	growth	6.5-7.2

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance
5571	anaerobe
32120	anaerobe
28365	obligate anaerobe

Spore formation

@ref	Spore formation
32120
28365
125439

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
32120	22599 ChEBI	arabinose	+	carbon source
68380	29016 ChEBI	arginine	-	hydrolysis	from API rID32A
32120	17057 ChEBI	cellobiose	+	carbon source
28365	17057 ChEBI	cellobiose	+/-	growth
68367	17057 ChEBI	cellobiose	+	builds acid from	from API 20A
28365	62968 ChEBI	cellulose	+	degradation
28365	62968 ChEBI	cellulose	+	fermentation
68367	17634 ChEBI	D-glucose	+	builds acid from	from API 20A
68367	16899 ChEBI	D-mannitol	-	builds acid from	from API 20A
68380	16024 ChEBI	D-mannose	+	fermentation	from API rID32A
68367	16024 ChEBI	D-mannose	+	builds acid from	from API 20A
68367	65327 ChEBI	D-xylose	+	builds acid from	from API 20A
32120	4853 ChEBI	esculin	+	hydrolysis
28365	4853 ChEBI	esculin	+/-	growth
68367	4853 ChEBI	esculin	+	hydrolysis	from API 20A
32120	28757 ChEBI	fructose	+	carbon source
28365	28757 ChEBI	fructose	+	fermentation
28365	33984 ChEBI	fucose	-	growth
32120	28260 ChEBI	galactose	+	carbon source
28365	28260 ChEBI	galactose	+	fermentation
32120	24175 ChEBI	galacturonate	+	carbon source
28365	24175 ChEBI	galacturonate	+	fermentation
68367	5291 ChEBI	gelatin	-	hydrolysis	from API 20A
32120	17234 ChEBI	glucose	+	carbon source
28365	17234 ChEBI	glucose	+	fermentation
68367	17754 ChEBI	glycerol	-	builds acid from	from API 20A
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
32120	17716 ChEBI	lactose	+	carbon source
28365	17716 ChEBI	lactose	+/-	growth
68367	17716 ChEBI	lactose	+	builds acid from	from API 20A
28365	6359 ChEBI	lactulose	+	fermentation
32120	17306 ChEBI	maltose	+	carbon source
28365	17306 ChEBI	maltose	+	fermentation
68367	17306 ChEBI	maltose	+	builds acid from	from API 20A
28365	29864 ChEBI	mannitol	-	growth
32120	37684 ChEBI	mannose	+	carbon source
28365	37684 ChEBI	mannose	+	fermentation
68367	6731 ChEBI	melezitose	-	builds acid from	from API 20A
32120	28053 ChEBI	melibiose	+	carbon source
28365	28053 ChEBI	melibiose	+	fermentation
28365	17268 ChEBI	myo-inositol	-	growth
68380	17632 ChEBI	nitrate	-	reduction	from API rID32A
28365	17309 ChEBI	pectin	+	fermentation
32120	16634 ChEBI	raffinose	+	carbon source
28365	16634 ChEBI	raffinose	+/-	growth
68380	16634 ChEBI	raffinose	+	fermentation	from API rID32A
68367	16634 ChEBI	raffinose	+	builds acid from	from API 20A
32120	33942 ChEBI	ribose	+	carbon source
28365	33942 ChEBI	ribose	+	fermentation
32120	17814 ChEBI	salicin	+	carbon source
28365	17814 ChEBI	salicin	+/-	growth
28365	30911 ChEBI	sorbitol	-	growth
68367	30911 ChEBI	sorbitol	-	builds acid from	from API 20A
28365	28017 ChEBI	starch	+	fermentation
32120	17992 ChEBI	sucrose	+	carbon source
28365	17992 ChEBI	sucrose	+	fermentation
68367	17992 ChEBI	sucrose	+	builds acid from	from API 20A
28365	27082 ChEBI	trehalose	-	growth
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
28365	37166 ChEBI	xylan	+/-	growth
32120	18222 ChEBI	xylose	+	carbon source
28365	18222 ChEBI	xylose	+	fermentation

Metabolite production

@ref	Chebi-ID	Metabolite
28365	30089 ChEBI	acetate
68380	35581 ChEBI	indole	from API rID32A
68367	35581 ChEBI	indole	from API 20A
28365	17272 ChEBI	propionate
28365	30031 ChEBI	succinate

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
32120	acid phosphatase	+	3.1.3.2
28365	acid phosphatase	+	3.1.3.2
68380	alanine arylamidase	+	3.4.11.2	from API rID32A
32120	alkaline phosphatase	+	3.1.3.1
28365	alkaline phosphatase	+	3.1.3.1
28365	alpha-arabinosidase	+	3.2.1.55
68380	alpha-arabinosidase	+	3.2.1.55	from API rID32A
28365	alpha-fucosidase	+/-	3.2.1.51
68380	alpha-fucosidase	+	3.2.1.51	from API rID32A
28365	alpha-galactosidase	+	3.2.1.22
68380	alpha-galactosidase	+	3.2.1.22	from API rID32A
28365	alpha-glucosidase	+	3.2.1.20
68380	alpha-glucosidase	+	3.2.1.20	from API rID32A
68380	arginine dihydrolase	-	3.5.3.6	from API rID32A
28365	beta-galactosidase	+	3.2.1.23
68380	beta-galactosidase	+	3.2.1.23	from API rID32A
68380	beta-Galactosidase 6-phosphate	-		from API rID32A
28365	beta-glucosidase	+	3.2.1.21
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
28365	catalase	-	1.11.1.6
28365	cytochrome oxidase	-	1.9.3.1
28365	esterase Lipase (C 8)	+
68367	gelatinase	-		from API 20A
28365	glutamate decarboxylase	+	4.1.1.15
68380	glutamate decarboxylase	+	4.1.1.15	from API rID32A
28365	glutamyl-glutamate arylamidase	+
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
28365	leucyl glycin arylamidase	+	3.4.11.1
68380	leucyl glycin arylamidase	+	3.4.11.1	from API rID32A
28365	N-acetyl-beta-glucosaminidase	+	3.2.1.52
28365	naphthol-AS-BI-phosphohydrolase	+
28365	phenylalanine arylamidase	+
28365	phenylalanine arylamidase	+/-
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
28365	tyrosine arylamidase	+/-
68380	tyrosine arylamidase	+		from API rID32A
68380	urease	-	3.5.1.5	from API rID32A
68367	urease	-	3.5.1.5	from API 20A

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	C4 and CAM-carbon fixation	100	8 of 8
66794	L-lactaldehyde degradation	100	3 of 3
66794	formaldehyde oxidation	100	3 of 3
66794	gluconeogenesis	100	8 of 8
66794	glycogen metabolism	100	5 of 5
66794	cis-vaccenate biosynthesis	100	2 of 2
66794	starch degradation	100	10 of 10
66794	methylglyoxal degradation	100	5 of 5
66794	ppGpp biosynthesis	100	4 of 4
66794	palmitate biosynthesis	100	22 of 22
66794	coenzyme A metabolism	100	4 of 4
66794	sulfopterin metabolism	100	4 of 4
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	tetrahydrofolate metabolism	100	14 of 14
66794	folate polyglutamylation	100	1 of 1
66794	suberin monomers biosynthesis	100	2 of 2
66794	biotin biosynthesis	100	4 of 4
66794	teichoic acid biosynthesis	100	1 of 1
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	chorismate metabolism	88.89	8 of 9
66794	NAD metabolism	88.89	16 of 18
66794	lipid A biosynthesis	88.89	8 of 9
66794	aspartate and asparagine metabolism	88.89	8 of 9
66794	d-mannose degradation	88.89	8 of 9
66794	propanol degradation	85.71	6 of 7
66794	phenylalanine metabolism	84.62	11 of 13
66794	vitamin B6 metabolism	81.82	9 of 11
66794	pentose phosphate pathway	81.82	9 of 11
66794	peptidoglycan biosynthesis	80	12 of 15
66794	glycine betaine biosynthesis	80	4 of 5
66794	lipoate biosynthesis	80	4 of 5
66794	threonine metabolism	80	8 of 10
66794	propionate fermentation	80	8 of 10
66794	metabolism of amino sugars and derivatives	80	4 of 5
66794	pyrimidine metabolism	80	36 of 45
66794	cellulose degradation	80	4 of 5
66794	photosynthesis	78.57	11 of 14
66794	serine metabolism	77.78	7 of 9
66794	valine metabolism	77.78	7 of 9
66794	vitamin B1 metabolism	76.92	10 of 13
66794	glycolysis	76.47	13 of 17
66794	alanine metabolism	75.86	22 of 29
66794	CMP-KDO biosynthesis	75	3 of 4
66794	acetate fermentation	75	3 of 4
66794	glycogen biosynthesis	75	3 of 4
66794	isoleucine metabolism	75	6 of 8
66794	purine metabolism	73.4	69 of 94
66794	flavin biosynthesis	73.33	11 of 15
66794	cardiolipin biosynthesis	71.43	5 of 7
66794	reductive acetyl coenzyme A pathway	71.43	5 of 7
66794	glutamate and glutamine metabolism	71.43	20 of 28
66794	citric acid cycle	71.43	10 of 14
66794	vitamin B12 metabolism	70.59	24 of 34
66794	Entner Doudoroff pathway	70	7 of 10
66794	histidine metabolism	68.97	20 of 29
66794	CO2 fixation in Crenarchaeota	66.67	6 of 9
66794	acetoin degradation	66.67	2 of 3
66794	octane oxidation	66.67	2 of 3
66794	d-xylose degradation	63.64	7 of 11
66794	ketogluconate metabolism	62.5	5 of 8
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	62.5	5 of 8
66794	degradation of sugar alcohols	62.5	10 of 16
66794	lysine metabolism	61.9	26 of 42
66794	sulfate reduction	61.54	8 of 13
66794	leucine metabolism	61.54	8 of 13
66794	isoprenoid biosynthesis	61.54	16 of 26
66794	degradation of hexoses	61.11	11 of 18
66794	myo-inositol biosynthesis	60	6 of 10
66794	hydrogen production	60	3 of 5
66794	non-pathway related	57.89	22 of 38
66794	degradation of pentoses	57.14	16 of 28
66794	ubiquinone biosynthesis	57.14	4 of 7
66794	lipid metabolism	54.84	17 of 31
66794	proline metabolism	54.55	6 of 11
66794	arginine metabolism	54.17	13 of 24
66794	methionine metabolism	53.85	14 of 26
66794	polyamine pathway	52.17	12 of 23
66794	degradation of sugar acids	52	13 of 25
66794	dTDPLrhamnose biosynthesis	50	4 of 8
66794	kanosamine biosynthesis II	50	1 of 2
66794	pantothenate biosynthesis	50	3 of 6
66794	phenylmercury acetate degradation	50	1 of 2
66794	aminopropanol phosphate biosynthesis	50	1 of 2
66794	glycolate and glyoxylate degradation	50	3 of 6
66794	selenocysteine biosynthesis	50	3 of 6
66794	butanoate fermentation	50	2 of 4
66794	tryptophan metabolism	50	19 of 38
66794	adipate degradation	50	1 of 2
66794	tyrosine metabolism	50	7 of 14
66794	glycine metabolism	50	5 of 10
66794	sphingosine metabolism	50	3 of 6
66794	ethanol fermentation	50	1 of 2
66794	metabolism of disaccharids	45.45	5 of 11
66794	cysteine metabolism	44.44	8 of 18
66794	oxidative phosphorylation	41.76	38 of 91
66794	degradation of aromatic, nitrogen containing compounds	41.67	5 of 12
66794	arachidonate biosynthesis	40	2 of 5
66794	O-antigen biosynthesis	40	2 of 5
66794	phenylpropanoid biosynthesis	38.46	5 of 13
66794	urea cycle	38.46	5 of 13
66794	ascorbate metabolism	36.36	8 of 22
66794	cyanate degradation	33.33	1 of 3
66794	IAA biosynthesis	33.33	1 of 3
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	nitrate assimilation	33.33	3 of 9
66794	sulfoquinovose degradation	33.33	1 of 3
66794	coenzyme M biosynthesis	30	3 of 10
66794	glutathione metabolism	28.57	4 of 14
66794	heme metabolism	28.57	4 of 14
66794	dolichyl-diphosphooligosaccharide biosynthesis	27.27	3 of 11
66794	vitamin E metabolism	25	1 of 4
66794	alginate biosynthesis	25	1 of 4
66794	carnitine metabolism	25	2 of 8
66794	lactate fermentation	25	1 of 4
66794	cyclohexanol degradation	25	1 of 4
66794	toluene degradation	25	1 of 4
66794	androgen and estrogen metabolism	25	4 of 16
66794	phosphatidylethanolamine bioynthesis	23.08	3 of 13
66794	molybdenum cofactor biosynthesis	22.22	2 of 9
66794	4-hydroxymandelate degradation	22.22	2 of 9
66794	arachidonic acid metabolism	22.22	4 of 18

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
5571	+	-	+	-	+	+	+	+/-	+	+	-	+	-	+	+	-	+	-	+	-	not determinedn.d.	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
5571	-	-	+	+	-	+	+	+	-	+	+	+	+	+	-	+	+	-	-	+	+	-	-	+	+	-	-	+	-
5571	-	-	+	+	-	+	+	+	-	+	+	+	+	+	-	+	+	-	-	+	-	-	-	+	+	-	-	+	-
5571	-	-	+	+	-	+	+	+	-	-	+	+	+	+	-	+	-	-	-	+	+	-	-	+	+	-	-	+	-

Isolation, sampling and environmental information

Isolation source categories

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

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
5571	human faeces	France	FRA	Europe
28365	faeces of a healthy, non-methane-excreting individual
56574	Human feces,50-yr-old male,healthy volunteer	France	FRA	Europe
67770	Human feces

Taxonmaps

69479

Global distribution of 16S sequence AJ583243 (>99% sequence identity) for Bacteroides cellulosilyticus subclade from Microbeatlas

Aquatic Samples	665
Soil Samples	111
Animal Samples	48605
Plant Samples	47
Total Samples	49428

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
5571	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	ASM2853941v1 assembly for Bacteroides cellulosilyticus DSM 14838	contig	GCA_028539415	537012.120	8119481485	537012	64.98
67770	ASM15803v1 assembly for Bacteroides cellulosilyticus DSM 14838	scaffold	GCA_000158035	537012.5	643886111	537012

Genome browser: GCA_028539415

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
5571	Bacteroides cellulosilyticus DSM 14838 partial 16S rRNA gene, type strain CRE21T	AJ583243	1426		537012
67770	Bacteroides cellulosilyticus gene for 16S ribosomal RNA, partial sequence, strain: JCM 15632	AB510698	1473		246787

GC content

@ref	GC-content (mol%)
5571	41.1
5571	42.7
67770	41.1

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Bacteroides cellulosilyticus DSM 14838
NCBI: GCA_000158035

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	99.60	no
125439	motility	BacteriaNetⓘ	no	71.10	no
125439	gram_stain	BacteriaNetⓘ	negative	99.30	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	79.00	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Bacteroides cellulosilyticus DSM 14838
PATRIC: 537012.5

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	91.89	yes
125438	anaerobic	anaerobicⓘ	yes	86.80	yes
125438	spore-forming	spore-formingⓘ	no	85.42	yes
125438	aerobic	aerobicⓘ	no	91.10	yes
125438	thermophilic	thermophileⓘ	no	94.52	yes
125438	flagellated	motile2+ⓘ	no	86.50	yes

Literature

Title	Authors	Journal	DOI	Year
When simplicity triumphs: niche specialization of gut bacteria exists even for simple fiber structures.	Xu H, Pudlo NA, Cantu-Jungles TM, Tuncil YE, Nie X, Kaur A, Reuhs BL, Martens EC, Hamaker BR.	ISME Commun	10.1093/ismeco/ycae037	2024
Synthetic beta-d-Glucuronides: Substrates for Exploring Glucuronide Degradation by Human Gut Bacteria.	Gorecka A, Schacht H, Fraser MK, Teriosina A, London JA, Barsukov IL, Powell AK, Cartmell A, Stachulski AV, Yates EA.	ACS Omega	10.1021/acsomega.4c09036	2025
Comprehensive profiling of genomic invertons in defined gut microbial community reveals associations with intestinal colonization and surface adhesion.	Jin X, Cheng AG, Chanin RB, Yu FB, Dimas A, Jasper M, Weakley A, Yan J, Bhatt AS, Pollard KS.	Microbiome	10.1186/s40168-025-02052-7	2025
Complete xylan utilization pathway and regulation mechanisms involved in marine algae degradation by cosmopolitan marine and human gut microbiota.	Sun HN, Chen XL, Wang Y, Zhu YP, Teng ZJ, Cao HY, Xu TT, Chen Y, Zhang YZ, Zhao F.	ISME J	10.1093/ismejo/wraf085	2025
Exploring the Catalytic Mechanisms of a Newly Identified Salt-Activated Alginate Lyase from Pseudoalteromonas carrageenovora ASY5.	Zhuang X, Jiao C, Guo Z, Xiao Q, Chen J, Chen F, Yang Q, Ru Y, Weng H, Wang S, Xiao A, Zhang Y.	Mar Drugs	10.3390/md23060254	2025
Phylogenetic diversity of core rumen microbiota as described by cryo-ET.	Wimmer BH, Morais S, Zalk R, Mizrahi I, Medalia O.	Microlife	10.1093/femsml/uqad010	2023
Biochemical analysis of cross-feeding behaviour between two common gut commensals when cultivated on plant-derived arabinogalactan.	Munoz J, James K, Bottacini F, Van Sinderen D.	Microb Biotechnol	10.1111/1751-7915.13577	2020
Mapping the T cell repertoire to a complex gut bacterial community.	Nagashima K, Zhao A, Atabakhsh K, Bae M, Blum JE, Weakley A, Jain S, Meng X, Cheng AG, Wang M, Higginbottom S, Dimas A, Murugkar P, Sattely ES, Moon JJ, Balskus EP, Fischbach MA.	Nature	10.1038/s41586-023-06431-8	2023
Three alginate lyases provide a new gut Bacteroides ovatus isolate with the ability to grow on alginate.	Ronne ME, Tandrup T, Madsen M, Hunt CJ, Myers PN, Moll JM, Holck J, Brix S, Strube ML, Aachmann FL, Wilkens C, Svensson B.	Appl Environ Microbiol	10.1128/aem.01185-23	2023
Bacteroides vulgatus attenuates experimental mice colitis through modulating gut microbiota and immune responses.	Liu L, Xu M, Lan R, Hu D, Li X, Qiao L, Zhang S, Lin X, Yang J, Ren Z, Xu J.	Front Immunol	10.3389/fimmu.2022.1036196	2022
Identification of D-arabinan-degrading enzymes in mycobacteria.	Al-Jourani O, Benedict ST, Ross J, Layton AJ, van der Peet P, Marando VM, Bailey NP, Heunis T, Manion J, Mensitieri F, Franklin A, Abellon-Ruiz J, Oram SL, Parsons L, Cartmell A, Wright GSA, Basle A, Trost M, Henrissat B, Munoz-Munoz J, Hirt RP, Kiessling LL, Lovering AL, Williams SJ, Lowe EC, Moynihan PJ.	Nat Commun	10.1038/s41467-023-37839-5	2023
Cross-feeding of bifidobacteria promotes intestinal homeostasis: a lifelong perspective on the host health.	Xiao M, Zhang C, Duan H, Narbad A, Zhao J, Chen W, Zhai Q, Yu L, Tian F.	NPJ Biofilms Microbiomes	10.1038/s41522-024-00524-6	2024
Two distinct gut microbial pathways contribute to meta-organismal production of phenylacetylglutamine with links to cardiovascular disease.	Zhu Y, Dwidar M, Nemet I, Buffa JA, Sangwan N, Li XS, Anderson JT, Romano KA, Fu X, Funabashi M, Wang Z, Keranahalli P, Battle S, Tittle AN, Hajjar AM, Gogonea V, Fischbach MA, DiDonato JA, Hazen SL.	Cell Host Microbe	10.1016/j.chom.2022.11.015	2023
Cellulolytic bacteria in the large intestine of mammals.	Froidurot A, Julliand V.	Gut Microbes	10.1080/19490976.2022.2031694	2022
Structural and functional analysis of gum arabic l-rhamnose-alpha-1,4-d-glucuronate lyase establishes a novel polysaccharide lyase family.	Kondo T, Kichijo M, Maruta A, Nakaya M, Takenaka S, Arakawa T, Fushinobu S, Sakamoto T.	J Biol Chem	10.1016/j.jbc.2021.101001	2021
The prevalence of species and strains in the human microbiome: a resource for experimental efforts.	Kraal L, Abubucker S, Kota K, Fischbach MA, Mitreva M.	PLoS One	10.1371/journal.pone.0097279	2014
Evaluation of the Effects of Different Bacteroides vulgatus Strains against DSS-Induced Colitis.	Li S, Wang C, Zhang C, Luo Y, Cheng Q, Yu L, Sun Z.	J Immunol Res	10.1155/2021/9117805	2021
Bacterial rose garden for metagenomic SNP-based phylogeny visualization.	Alexeev D, Bibikova T, Kovarsky B, Melnikov D, Tyakht A, Govorun V.	BioData Min	10.1186/s13040-015-0045-5	2015
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
Data collection from crystals grown in microfluidic droplets.	Babnigg G, Sherrell D, Kim Y, Johnson JL, Nocek B, Tan K, Axford D, Li H, Bigelow L, Welk L, Endres M, Owen RL, Joachimiak A.	Acta Crystallogr D Struct Biol	10.1107/s2059798322004661	2022
A new Illumina MiSeq high-throughput sequencing-based method for evaluating the composition of the Bacteroides community in the intestine using the rpsD gene sequence.	Wang C, Feng S, Xiao Y, Pan M, Zhao J, Zhang H, Zhai Q, Chen W.	Microb Biotechnol	10.1111/1751-7915.13651	2021
Xylan utilization in human gut commensal bacteria is orchestrated by unique modular organization of polysaccharide-degrading enzymes.	Zhang M, Chekan JR, Dodd D, Hong PY, Radlinski L, Revindran V, Nair SK, Mackie RI, Cann I.	Proc Natl Acad Sci U S A	10.1073/pnas.1406156111	2014
Strain/species identification in metagenomes using genome-specific markers.	Tu Q, He Z, Zhou J.	Nucleic Acids Res	10.1093/nar/gku138	2014
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
Degradation of complex arabinoxylans by human colonic Bacteroidetes.	Pereira GV, Abdel-Hamid AM, Dutta S, D'Alessandro-Gabazza CN, Wefers D, Farris JA, Bajaj S, Wawrzak Z, Atomi H, Mackie RI, Gabazza EC, Shukla D, Koropatkin NM, Cann I.	Nat Commun	10.1038/s41467-020-20737-5	2021
Bacterial alginate metabolism: an important pathway for bioconversion of brown algae.	Zhang L, Li X, Zhang X, Li Y, Wang L.	Biotechnol Biofuels	10.1186/s13068-021-02007-8	2021
Two new xylanases with different substrate specificities from the human gut bacterium Bacteroides intestinalis DSM 17393.	Hong PY, Iakiviak M, Dodd D, Zhang M, Mackie RI, Cann I.	Appl Environ Microbiol	10.1128/aem.03176-13	2014
Type VI secretion systems of human gut Bacteroidales segregate into three genetic architectures, two of which are contained on mobile genetic elements.	Coyne MJ, Roelofs KG, Comstock LE.	BMC Genomics	10.1186/s12864-016-2377-z	2016
Autometa: automated extraction of microbial genomes from individual shotgun metagenomes.	Miller IJ, Rees ER, Ross J, Miller I, Baxa J, Lopera J, Kerby RL, Rey FE, Kwan JC.	Nucleic Acids Res	10.1093/nar/gkz148	2019
Fish oil enhances recovery of intestinal microbiota and epithelial integrity in chronic rejection of intestinal transplant.	Li Q, Zhang Q, Wang C, Tang C, Zhang Y, Li N, Li J.	PLoS One	10.1371/journal.pone.0020460	2011
Novel glycoside hydrolases identified by screening a Chinese Holstein dairy cow rumen-derived metagenome library.	Zhao S, Wang J, Bu D, Liu K, Zhu Y, Dong Z, Yu Z.	Appl Environ Microbiol	10.1128/aem.00361-10	2010
Characterization of a novel serine protease inhibitor gene from a marine metagenome.	Jiang CJ, Hao ZY, Zeng R, Shen PH, Li JF, Wu B.	Mar Drugs	10.3390/md9091487	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
Polysaccharides utilization in human gut bacterium Bacteroides thetaiotaomicron: comparative genomics reconstruction of metabolic and regulatory networks.	Ravcheev DA, Godzik A, Osterman AL, Rodionov DA.	BMC Genomics	10.1186/1471-2164-14-873	2013
Growth effects of N-acylethanolamines on gut bacteria reflect altered bacterial abundances in inflammatory bowel disease.	Fornelos N, Franzosa EA, Bishai J, Annand JW, Oka A, Lloyd-Price J, Arthur TD, Garner A, Avila-Pacheco J, Haiser HJ, Tolonen AC, Porter JA, Clish CB, Sartor RB, Huttenhower C, Vlamakis H, Xavier RJ.	Nat Microbiol	10.1038/s41564-019-0655-7	2020
Inter-individual differences in the gene content of human gut bacterial species.	Zhu A, Sunagawa S, Mende DR, Bork P.	Genome Biol	10.1186/s13059-015-0646-9	2015
Comparative Genomic Analysis of the Human Gut Microbiome Reveals a Broad Distribution of Metabolic Pathways for the Degradation of Host-Synthetized Mucin Glycans and Utilization of Mucin-Derived Monosaccharides.	Ravcheev DA, Thiele I.	Front Genet	10.3389/fgene.2017.00111	2017
Domain analysis of a modular alpha-L-Arabinofuranosidase with a unique carbohydrate binding strategy from the fiber-degrading bacterium Fibrobacter succinogenes S85.	Yoshida S, Hespen CW, Beverly RL, Mackie RI, Cann IK.	J Bacteriol	10.1128/jb.00503-10	2010
Diverse Intestinal Bacteria Contain Putative Zwitterionic Capsular Polysaccharides with Anti-inflammatory Properties.	Neff CP, Rhodes ME, Arnolds KL, Collins CB, Donnelly J, Nusbacher N, Jedlicka P, Schneider JM, McCarter MD, Shaffer M, Mazmanian SK, Palmer BE, Lozupone CA	Cell Host Microbe	10.1016/j.chom.2016.09.002	2016
Genome sequence and description of Bacteroides timonensis sp. nov.	Ramasamy D, Lagier JC, Rossi-Tamisier M, Pfleiderer A, Michelle C, Couderc C, Raoult D, Fournier PE.	Stand Genomic Sci	10.4056/sigs.5389564	2014
Bacteroides cellulosilyticus sp. nov., a cellulolytic bacterium from the human gut microbial community.	Robert C, Chassard C, Lawson PA, Bernalier-Donadille A	Int J Syst Evol Microbiol	10.1099/ijs.0.64998-0	2007

References

#5571	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 14838
#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 )
#28365	IJSEM 1516 2007 ( DOI 10.1099/ijs.0.64998-0 , PubMed 17625186 )
#32120	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 #28365 (see below)
#56574	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 44979
#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;
#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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Bacteroides cellulosilyticus (DSM 14838, CCUG 44979, JCM 15632)

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