Bacteroides coprosuis (DSM 18011, CCUG 50528, JCM 13475)

Name: Bacteroides coprosuis (DSM 18011, CCUG 50528, JCM 13475)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 1613

Type strain

Strain Designation PC 139

Culture col. no. DSM 18011 CCUG 50528 JCM 13475 NRRL B-41113 PC 139

NCBI tax ID(s) 679937 151276

Special Collections DSMZ CCUG JCM Literature strains Pig DSMZ

History <- A. P. Rooney <- T. R. Whitehead; PC 139 CCUG 50528 <-- T. R. Whitehead PC 139.

Links

Bacteroides coprosuis PC 139 is an anaerobe, Gram-negative, rod-shaped bacterium that was isolated from pig faeces, swine manure.

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

Name and taxonomic classification

SI-ID 281441

CCUG 50528,NRRL B-41113,DSM 18011,JCM 13475

@ref 20215

Last LPSN update 2026-02-09 11:18:08

Domain Bacteria

Phylum Bacteroidota

Class Bacteroidia

Order Bacteroidales

Family Bacteroidaceae

Genus Bacteroides

Species Bacteroides coprosuis

Full scientific name Bacteroides coprosuis Whitehead et al. 2005

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
31598	negative	1.9 µm	1 µm	rod-shaped
125438					93.566
125438	negative				90.812
125439	negative				99.9

Colony morphology

7330

Incubation period2-3 days

Multimedia

@ref:	66793
multimedia content:	EM_DSM_18011_1.jpg
multimedia.multimedia content:	EM_DSM_18011_1.jpg
caption:	electron microscopic image
intellectual property rights:	© HZI/Manfred Rohde
manual_annotation:	1

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
7330	PYG MEDIUM (MODIFIED) (DSMZ Medium 104)		Medium recipe at MediaDive	Name: PYG MEDIUM (modified) (DSMZ Medium 104) Composition: Yeast extract 10.0 g/l Peptone 5.0 g/l Trypticase peptone 5.0 g/l Beef extract 5.0 g/l Glucose 5.0 g/l L-Cysteine HCl x H2O 0.5 g/l NaHCO3 0.4 g/l NaCl 0.08 g/l K2HPO4 0.04 g/l KH2PO4 0.04 g/l MgSO4 x 7 H2O 0.02 g/l CaCl2 x 2 H2O 0.01 g/l Hemin 0.005 g/l Ethanol 0.0038 g/l Resazurin 0.001 g/l Tween 80 Vitamin K1 NaOH Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
7330	positive	growth	37
31598	positive	growth	25-37
31598	positive	optimum	37
58893	positive	growth	37
67770	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance
7330	anaerobe
31598	anaerobe
58893	anaerobe

Spore formation

@ref	Spore formation	Confidence
31598
125438		91.478
125439		99.7

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
31598	4853 ChEBI	esculin	+	hydrolysis
31598	17234 ChEBI	glucose	+	carbon source
68380	29985 ChEBI	L-glutamate	-	degradation	from API rID32A
31598	17306 ChEBI	maltose	+	carbon source
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
31598	acid phosphatase	+	3.1.3.2
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
31598	alpha-galactosidase	+	3.2.1.22
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	leucyl glycin arylamidase	+	3.4.11.1	from API rID32A
68380	N-acetyl-beta-glucosaminidase	+	3.2.1.52	from API rID32A
68380	phenylalanine arylamidase	-		from API rID32A
68380	proline-arylamidase	-	3.4.11.5	from API rID32A
68380	pyrrolidonyl arylamidase	-	3.4.19.3	from API rID32A
68380	serine arylamidase	-		from API rID32A
68380	tryptophan deaminase	-	4.1.99.1	from API rID32A
68380	tyrosine arylamidase	-		from API rID32A
68380	urease	-	3.5.1.5	from API rID32A

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	cis-vaccenate biosynthesis	100	2 of 2
66794	methylglyoxal degradation	100	5 of 5
66794	glycogen metabolism	100	5 of 5
66794	palmitate biosynthesis	100	22 of 22
66794	biotin biosynthesis	100	4 of 4
66794	gluconeogenesis	100	8 of 8
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	folate polyglutamylation	100	1 of 1
66794	coenzyme A metabolism	100	4 of 4
66794	suberin monomers biosynthesis	100	2 of 2
66794	threonine metabolism	90	9 of 10
66794	chorismate metabolism	88.89	8 of 9
66794	isoleucine metabolism	87.5	7 of 8
66794	propanol degradation	85.71	6 of 7
66794	vitamin B1 metabolism	84.62	11 of 13
66794	NAD metabolism	83.33	15 of 18
66794	pyrimidine metabolism	82.22	37 of 45
66794	pentose phosphate pathway	81.82	9 of 11
66794	peptidoglycan biosynthesis	80	12 of 15
66794	cellulose degradation	80	4 of 5
66794	vitamin K metabolism	80	4 of 5
66794	photosynthesis	78.57	11 of 14
66794	tetrahydrofolate metabolism	78.57	11 of 14
66794	d-mannose degradation	77.78	7 of 9
66794	lipid A biosynthesis	77.78	7 of 9
66794	acetate fermentation	75	3 of 4
66794	sulfopterin metabolism	75	3 of 4
66794	ppGpp biosynthesis	75	3 of 4
66794	CMP-KDO biosynthesis	75	3 of 4
66794	glycogen biosynthesis	75	3 of 4
66794	vitamin B12 metabolism	73.53	25 of 34
66794	flavin biosynthesis	73.33	11 of 15
66794	vitamin B6 metabolism	72.73	8 of 11
66794	proline metabolism	72.73	8 of 11
66794	cardiolipin biosynthesis	71.43	5 of 7
66794	citric acid cycle	71.43	10 of 14
66794	glycolysis	70.59	12 of 17
66794	Entner Doudoroff pathway	70	7 of 10
66794	propionate fermentation	70	7 of 10
66794	purine metabolism	69.15	65 of 94
66794	serine metabolism	66.67	6 of 9
66794	valine metabolism	66.67	6 of 9
66794	octane oxidation	66.67	2 of 3
66794	aspartate and asparagine metabolism	66.67	6 of 9
66794	acetoin degradation	66.67	2 of 3
66794	histidine metabolism	65.52	19 of 29
66794	d-xylose degradation	63.64	7 of 11
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	62.5	5 of 8
66794	leucine metabolism	61.54	8 of 13
66794	glutamate and glutamine metabolism	60.71	17 of 28
66794	metabolism of amino sugars and derivatives	60	3 of 5
66794	lipoate biosynthesis	60	3 of 5
66794	non-pathway related	57.89	22 of 38
66794	isoprenoid biosynthesis	57.69	15 of 26
66794	ubiquinone biosynthesis	57.14	4 of 7
66794	alanine metabolism	55.17	16 of 29
66794	metabolism of disaccharids	54.55	6 of 11
66794	phenylalanine metabolism	53.85	7 of 13
66794	methionine metabolism	53.85	14 of 26
66794	adipate degradation	50	1 of 2
66794	butanoate fermentation	50	2 of 4
66794	heme metabolism	50	7 of 14
66794	ethanol fermentation	50	1 of 2
66794	glycolate and glyoxylate degradation	50	3 of 6
66794	aminopropanol phosphate biosynthesis	50	1 of 2
66794	dTDPLrhamnose biosynthesis	50	4 of 8
66794	lysine metabolism	47.62	20 of 42
66794	sulfate reduction	46.15	6 of 13
66794	nitrate assimilation	44.44	4 of 9
66794	cysteine metabolism	44.44	8 of 18
66794	CO2 fixation in Crenarchaeota	44.44	4 of 9
66794	polyamine pathway	43.48	10 of 23
66794	reductive acetyl coenzyme A pathway	42.86	3 of 7
66794	tyrosine metabolism	42.86	6 of 14
66794	arginine metabolism	41.67	10 of 24
66794	degradation of aromatic, nitrogen containing compounds	41.67	5 of 12
66794	coenzyme M biosynthesis	40	4 of 10
66794	factor 420 biosynthesis	40	2 of 5
66794	arachidonate biosynthesis	40	2 of 5
66794	phenylacetate degradation (aerobic)	40	2 of 5
66794	hydrogen production	40	2 of 5
66794	tryptophan metabolism	39.47	15 of 38
66794	degradation of hexoses	38.89	7 of 18
66794	oxidative phosphorylation	38.46	35 of 91
66794	phenylpropanoid biosynthesis	38.46	5 of 13
66794	ketogluconate metabolism	37.5	3 of 8
66794	IAA biosynthesis	33.33	1 of 3
66794	cyanate degradation	33.33	1 of 3
66794	formaldehyde oxidation	33.33	1 of 3
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	UDP-GlcNAc biosynthesis	33.33	1 of 3
66794	L-lactaldehyde degradation	33.33	1 of 3
66794	pantothenate biosynthesis	33.33	2 of 6
66794	molybdenum cofactor biosynthesis	33.33	3 of 9
66794	selenocysteine biosynthesis	33.33	2 of 6
66794	enterobactin biosynthesis	33.33	1 of 3
66794	phosphatidylethanolamine bioynthesis	30.77	4 of 13
66794	urea cycle	30.77	4 of 13
66794	myo-inositol biosynthesis	30	3 of 10
66794	glycine metabolism	30	3 of 10
66794	lipid metabolism	29.03	9 of 31
66794	degradation of sugar acids	28	7 of 25
66794	ascorbate metabolism	27.27	6 of 22
66794	degradation of sugar alcohols	25	4 of 16
66794	lactate fermentation	25	1 of 4
66794	cyclohexanol degradation	25	1 of 4
66794	toluene degradation	25	1 of 4
66794	alginate biosynthesis	25	1 of 4
66794	catecholamine biosynthesis	25	1 of 4
66794	degradation of pentoses	25	7 of 28
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
7330	-	-	-	+	-	+	+	-	-	+	-	-	-	-	-	-	+	-	-	+	-	-	-	-	+	-	-	-	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Mammals	#Suidae (Pig,Swine)
#Host Body Product	#Gastrointestinal tract	#Feces (Stool)

Isolation

@ref	Sample type	Sampling date	Geographic location	Country	Country ISO 3 Code	Continent
7330	pig faeces, swine manure		near Peoria	USA	USA	North America
58893	Swine manure,storage pit	1998	Illinois,near Peoria	USA	USA	North America
67770	Swine-manure storage pits

Taxonmaps

69479

Global distribution of 16S sequence AF319778 (>99% sequence identity) for Bacteroides coprosuis subclade from Microbeatlas

Aquatic Samples	1370
Soil Samples	733
Animal Samples	8819
Plant Samples	142
Total Samples	11064

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
7330	1	Risk group (German classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM21291v1 assembly for Bacteroides coprosuis DSM 18011	chromosome	GCA_000212915	679937.3	2503982039	679937	62.54

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
31598	Bacteroides coprosuis strain PC139 16S ribosomal RNA gene, partial sequence	AF319778	1523		679937
7330	Bacteroides coprosuis gene for 16S ribosomal RNA, partial sequence, strain: JCM 13475	AB510699	1490		151276

GC content

@ref	GC-content (mol%)	Method
7330	36.4
7330	35.0	sequence analysis
67770	36.4	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: Bacteroides coprosuis DSM 18011
PATRIC: 679937.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	99.70	no
125439	motility	BacteriaNetⓘ	no	58.80	no
125439	gram_stain	BacteriaNetⓘ	negative	99.90	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	85.50	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Bacteroides coprosuis DSM 18011 DSM 18011
NCBI: GCA_000212915.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	90.81	yes
125438	anaerobic	anaerobicⓘ	yes	81.51	yes
125438	aerobic	aerobicⓘ	no	95.59	yes
125438	spore-forming	spore-formingⓘ	no	91.48	yes
125438	thermophilic	thermophileⓘ	no	94.49	yes
125438	flagellated	motile2+ⓘ	no	93.57	yes

Literature

Topic	Title	Authors	Journal	DOI	Year
	Genome Sequence Comparisons between Small and Large Colony Phenotypes of Equine Clinical Isolates of Arcanobacterium hippocoleae.	Ayalew LE, Mekuria ZH, Despres B, Saab ME, Ojha S.	Animals (Basel)	10.3390/ani14111609	2024
Enzymology	Metabolomic and Genomic Analysis of Bioactive Compounds of Phacidium infestans Karsten DSM 5139 Cultivated on Pinus sylvestris Needles.	Zerouki C, Mofikoya O, Badar T, Makinen M, Turunen O, Janis J.	Environ Microbiol Rep	10.1111/1758-2229.70084	2025
Pathogenicity	Metatranscriptomics-guided discovery and characterization of a polyphenol-metabolizing gut microbial enzyme.	Bae M, Le C, Mehta RS, Dong X, Pieper LM, Ramirez L, Alexander M, Kiamehr S, Turnbaugh PJ, Huttenhower C, Chan AT, Balskus EP.	Cell Host Microbe	10.1016/j.chom.2024.10.002	2024
	Non-contiguous finished genome sequence of Bacteroides coprosuis type strain (PC139).	Land M, Held B, Gronow S, Abt B, Lucas S, Del Rio TG, Nolan M, Tice H, Cheng JF, Pitluck S, Liolios K, Pagani I, Ivanova N, Mavromatis K, Mikhailova N, Pati A, Tapia R, Han C, Goodwin L, Chen A, Palaniappan K, Hauser L, Brambilla EM, Rohde M, Goker M, Detter JC, Woyke T, Bristow J, Eisen JA, Markowitz V, Hugenholtz P, Kyrpides NC, Klenk HP, Lapidus A.	Stand Genomic Sci	10.4056/sigs.1784330	2011
Metabolism	Metabolism of Daidzein and Genistein by Gut Bacteria of the Class Coriobacteriia.	Soukup ST, Stoll DA, Danylec N, Schoepf A, Kulling SE, Huch M.	Foods	10.3390/foods10112741	2021
Enzymology	Identification of Trueperella pyogenes isolated from bovine mastitis by Fourier transform infrared spectroscopy.	Nagib S, Rau J, Sammra O, Lammler C, Schlez K, Zschock M, Prenger-Berninghoff E, Klein G, Abdulmawjood A.	PLoS One	10.1371/journal.pone.0104654	2014
	Pilot Safety Evaluation of a Novel Strain of Bacteroides ovatus.	Tan H, Yu Z, Wang C, Zhang Q, Zhao J, Zhang H, Zhai Q, Chen W.	Front Genet	10.3389/fgene.2018.00539	2018
Phylogeny	Quantitative fluorescence in situ hybridization analysis of microbial consortia from a biogenic gas field in Alaska's Cook Inlet basin.	Dawson KS, Strapoc D, Huizinga B, Lidstrom U, Ashby M, Macalady JL.	Appl Environ Microbiol	10.1128/aem.07122-11	2012
Phylogeny	Bacteroides coprosuis sp. nov., isolated from swine-manure storage pits.	Whitehead TR, Cotta MA, Collins MD, Falsen E, Lawson PA	Int J Syst Evol Microbiol	10.1099/ijs.0.63869-0	2005

References

#7330	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 18011
#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 )
#27886	IJSEM 2515 2005 ( DOI 10.1099/ijs.0.63869-0 , PubMed 16280519 )
#31598	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 #27886
#58893	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 50528
#66793	Mukherjee et al.: GEBA: 1,003 reference genomes of bacterial and archaeal isolates expand coverage of the tree of life. 35: 676 - 683 2017 ( DOI 10.1038/nbt.3886 , PubMed 28604660 )
#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 .
#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 coprosuis (DSM 18011, CCUG 50528, JCM 13475)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Multimedia

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Metabolite utilization

Metabolite production

Metabolite tests

Enzymes

Pathway annotation

API rID32A

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_000212915

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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