Cutibacterium granulosum (DSM 20700, ATCC 25564, CIP 110009)

Name: Cutibacterium granulosum (DSM 20700, ATCC 25564, CIP 110009)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 12645

Type strain

Culture col. no. DSM 20700 ATCC 25564 CIP 110009 JCM 6498 LMG 16726 12 more

NCBI tax ID(s) 1160719 33011

Special Collections DSMZ CCUG JCM CIP

History <- ATCC; ATCC 25564 <- W. E. C. Moore; VPI 0507 Y. Benno <-- T. Mitsuoka <-- ATCC 25564 <-- W. E. C. Moore VPI 0507. CIP <- 1988, ATCC <- W.E.C. Moore, Blacksburg, USA: strain VPI 050

Links

Cutibacterium granulosum DSM 20700 is an anaerobe, mesophilic, Gram-positive human pathogen that was isolated from culture contaminant.

Gram-positive oval-shaped anaerobe mesophilic human pathogen genome sequence 16S sequence

Name and taxonomic classification

SI-ID 118626

LMG 16726,ATCC 25564,CCUG 32987,CIP 103262,DSM 20700,IFO 15672,NCFB 2586,NCTC 11865,NCDO 2586,NCIMB 702586,BCRC 17368,CCRC 17368,CNCTC 7017,JCM 6498

@ref 20215

Last LPSN update 2026-02-09 11:20:54

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Propionibacteriales

Family Propionibacteriaceae

Genus Cutibacterium

Species Cutibacterium granulosum

Full scientific name Cutibacterium granulosum (Prévot 1938) Scholz and Kilian 2016

Synonyms (2)

Propionibacterium granulosum
"Corynebacterium granulosum"

BacDive ID	Other strains from **Cutibacterium granulosum** (7)	Type strain
12646	C. granulosum DSM 20458, ATCC 11829, NCTC 10387
142793	C. granulosum CCUG 14831, CCM 3341, LMG 16723
151304	C. granulosum CCUG 43704
154065	C. granulosum CCUG 52208
156298	C. granulosum CCUG 61092
156934	C. granulosum CCUG 67158
165409	C. granulosum JCM 6497, ATCC 25746, BCRC 16147, CCUG 4945

Morphology

Cell morphology

@ref	Gram stain	Cell shape	Confidence
119731	positive	oval-shaped
125438			93
125439			96.6
125439	positive		99.6

Colony morphology

@ref	Incubation period
51303	2 days
119731

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
8778	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
42200	MEDIUM 20 - for Anaerobic bacteria		Agar (15.000 g);Glucose (5.000 g);Yeast extract (20.000 g);Tryptone (30.000 g);Cysteine hydrochloride (0.500 g);distilled water (1000.000 ml);Hemin solution -M00149 (25.000 ml)
8778	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
119731	CIP Medium 187	Medium recipe at CIP
119731	CIP Medium 20	Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
8778	positive	growth	37	mesophilic
42200	positive	growth	37	mesophilic
51303	positive	growth	37	mesophilic
67770	positive	growth	37	mesophilic
119731	positive	growth	30-37	mesophilic
119731	negative	growth	10
119731	negative	growth	22
119731	negative	growth	45

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
8778	anaerobe
51303	anaerobe
119731	anaerobe
125439	anaerobe	90.8

Spore formation

119731

Spore formationno

Murein

@ref	Murein short key	Type
8778	A41.01	A3gamma LL-Dpm-Gly

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68371	27613 ChEBI	amygdalin	-	builds acid from	from API 50CH acid
68371	18305 ChEBI	arbutin	-	builds acid from	from API 50CH acid
68380	29016 ChEBI	arginine	-	hydrolysis	from API rID32A
68371	17057 ChEBI	cellobiose	-	builds acid from	from API 50CH acid
68371	17108 ChEBI	D-arabinose	-	builds acid from	from API 50CH acid
68371	18333 ChEBI	D-arabitol	-	builds acid from	from API 50CH acid
68371	15824 ChEBI	D-fructose	-	builds acid from	from API 50CH acid
68371	28847 ChEBI	D-fucose	-	builds acid from	from API 50CH acid
68371	12936 ChEBI	D-galactose	-	builds acid from	from API 50CH acid
68371	17634 ChEBI	D-glucose	-	builds acid from	from API 50CH acid
68371	62318 ChEBI	D-lyxose	-	builds acid from	from API 50CH acid
68371	16899 ChEBI	D-mannitol	-	builds acid from	from API 50CH acid
68371	16024 ChEBI	D-mannose	-	builds acid from	from API 50CH acid
68371	16988 ChEBI	D-ribose	-	builds acid from	from API 50CH acid
68371	17924 ChEBI	D-sorbitol	-	builds acid from	from API 50CH acid
68371	16443 ChEBI	D-tagatose	-	builds acid from	from API 50CH acid
68371	65327 ChEBI	D-xylose	-	builds acid from	from API 50CH acid
68371	17113 ChEBI	erythritol	-	builds acid from	from API 50CH acid
119731	4853 ChEBI	esculin	-	hydrolysis
68371	4853 ChEBI	esculin	-	builds acid from	from API 50CH acid
68371	16813 ChEBI	galactitol	-	builds acid from	from API 50CH acid
68371	28066 ChEBI	gentiobiose	-	builds acid from	from API 50CH acid
68371	24265 ChEBI	gluconate	-	builds acid from	from API 50CH acid
68371	17754 ChEBI	glycerol	-	builds acid from	from API 50CH acid
68371	28087 ChEBI	glycogen	-	builds acid from	from API 50CH acid
68371	15443 ChEBI	inulin	-	builds acid from	from API 50CH acid
68371	30849 ChEBI	L-arabinose	-	builds acid from	from API 50CH acid
68371	18403 ChEBI	L-arabitol	-	builds acid from	from API 50CH acid
68371	18287 ChEBI	L-fucose	-	builds acid from	from API 50CH acid
68380	29985 ChEBI	L-glutamate	-	degradation	from API rID32A
68371	62345 ChEBI	L-rhamnose	-	builds acid from	from API 50CH acid
68371	17266 ChEBI	L-sorbose	-	builds acid from	from API 50CH acid
68371	65328 ChEBI	L-xylose	-	builds acid from	from API 50CH acid
68371	17716 ChEBI	lactose	-	builds acid from	from API 50CH acid
68371	17306 ChEBI	maltose	-	builds acid from	from API 50CH acid
68371	6731 ChEBI	melezitose	-	builds acid from	from API 50CH acid
68371	28053 ChEBI	melibiose	-	builds acid from	from API 50CH acid
68371	320061 ChEBI	methyl alpha-D-glucopyranoside	-	builds acid from	from API 50CH acid
68371	43943 ChEBI	methyl alpha-D-mannoside	-	builds acid from	from API 50CH acid
68371	74863 ChEBI	methyl beta-D-xylopyranoside	-	builds acid from	from API 50CH acid
68371	17268 ChEBI	myo-inositol	-	builds acid from	from API 50CH acid
68371	59640 ChEBI	N-acetylglucosamine	-	builds acid from	from API 50CH acid
68380	17632 ChEBI	nitrate	-	reduction	from API rID32A
119731	17632 ChEBI	nitrate	-	reduction
119731	16301 ChEBI	nitrite	-	reduction
68371		Potassium 2-ketogluconate	-	builds acid from	from API 50CH acid
68371		Potassium 5-ketogluconate	-	builds acid from	from API 50CH acid
68371	16634 ChEBI	raffinose	-	builds acid from	from API 50CH acid
68371	15963 ChEBI	ribitol	-	builds acid from	from API 50CH acid
68371	17814 ChEBI	salicin	-	builds acid from	from API 50CH acid
68371	28017 ChEBI	starch	-	builds acid from	from API 50CH acid
68371	17992 ChEBI	sucrose	-	builds acid from	from API 50CH acid
68371	27082 ChEBI	trehalose	-	builds acid from	from API 50CH acid
68380	27897 ChEBI	tryptophan	-	energy source	from API rID32A
68371	32528 ChEBI	turanose	-	builds acid from	from API 50CH acid
68380	16199 ChEBI	urea	-	hydrolysis	from API rID32A
68371	17151 ChEBI	xylitol	-	builds acid from	from API 50CH acid

Antibiotic resistance

@ref	ChEBI	Metabolite	Is sensitive	Is resistant
119731	6909	metronidazole

Metabolite production

@ref	Chebi-ID	Metabolite	Production
68380	35581 ChEBI	indole		from API rID32A
119731	35581 ChEBI	indole

Metabolite tests

@ref	Chebi-ID	Metabolite	Indole test	Voges-proskauer-test
119731	15688 ChEBI	acetoin		-
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
68380	arginine dihydrolase	-	3.5.3.6	from API rID32A
68382	beta-galactosidase	-	3.2.1.23	from API zym
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
119731	caseinase	-	3.4.21.50
119731	catalase	+	1.11.1.6
68382	cystine arylamidase	-	3.4.11.3	from API zym
68382	esterase (C 4)	+		from API zym
68382	esterase lipase (C 8)	+		from API zym
119731	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
119731	lecithinase	+
68382	leucine arylamidase	-	3.4.11.1	from API zym
68380	leucine arylamidase	-	3.4.11.1	from API rID32A
68382	lipase (C 14)	+		from API zym
68380	N-acetyl-beta-glucosaminidase	-	3.2.1.52	from API rID32A
68382	N-acetyl-beta-glucosaminidase	-	3.2.1.52	from API zym
68382	naphthol-AS-BI-phosphohydrolase	+		from API zym
119731	oxidase	-
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
68382	trypsin	-	3.4.21.4	from API zym
68380	tryptophan deaminase	-	4.1.99.1	from API rID32A
68380	tyrosine arylamidase	-		from API rID32A
119731	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	coenzyme A metabolism	100	4 of 4
66794	biotin biosynthesis	100	4 of 4
66794	cis-vaccenate biosynthesis	100	2 of 2
66794	acetate fermentation	100	4 of 4
66794	palmitate biosynthesis	100	22 of 22
66794	denitrification	100	2 of 2
66794	ppGpp biosynthesis	100	4 of 4
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	methylglyoxal degradation	100	5 of 5
66794	folate polyglutamylation	100	1 of 1
66794	suberin monomers biosynthesis	100	2 of 2
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	starch degradation	90	9 of 10
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	vitamin B12 metabolism	82.35	28 of 34
66794	vitamin K metabolism	80	4 of 5
66794	glycogen metabolism	80	4 of 5
66794	ethylmalonyl-CoA pathway	80	4 of 5
66794	photosynthesis	78.57	11 of 14
66794	heme metabolism	78.57	11 of 14
66794	citric acid cycle	78.57	11 of 14
66794	NAD metabolism	77.78	14 of 18
66794	glycolysis	76.47	13 of 17
66794	pyrimidine metabolism	75.56	34 of 45
66794	sulfopterin metabolism	75	3 of 4
66794	glycogen biosynthesis	75	3 of 4
66794	C4 and CAM-carbon fixation	75	6 of 8
66794	isoleucine metabolism	75	6 of 8
66794	histidine metabolism	72.41	21 of 29
66794	propanol degradation	71.43	5 of 7
66794	cardiolipin biosynthesis	71.43	5 of 7
66794	purine metabolism	71.28	67 of 94
66794	propionate fermentation	70	7 of 10
66794	glycolate and glyoxylate degradation	66.67	4 of 6
66794	aspartate and asparagine metabolism	66.67	6 of 9
66794	octane oxidation	66.67	2 of 3
66794	flavin biosynthesis	66.67	10 of 15
66794	serine metabolism	66.67	6 of 9
66794	valine metabolism	66.67	6 of 9
66794	formaldehyde oxidation	66.67	2 of 3
66794	acetoin degradation	66.67	2 of 3
66794	L-lactaldehyde degradation	66.67	2 of 3
66794	d-mannose degradation	66.67	6 of 9
66794	glutamate and glutamine metabolism	64.29	18 of 28
66794	pentose phosphate pathway	63.64	7 of 11
66794	proline metabolism	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	alanine metabolism	62.07	18 of 29
66794	isoprenoid biosynthesis	61.54	16 of 26
66794	oxidative phosphorylation	61.54	56 of 91
66794	urea cycle	61.54	8 of 13
66794	phenylalanine metabolism	61.54	8 of 13
66794	non-pathway related	60.53	23 of 38
66794	metabolism of amino sugars and derivatives	60	3 of 5
66794	glycine betaine biosynthesis	60	3 of 5
66794	threonine metabolism	60	6 of 10
66794	lipoate biosynthesis	60	3 of 5
66794	methionine metabolism	57.69	15 of 26
66794	ubiquinone biosynthesis	57.14	4 of 7
66794	tetrahydrofolate metabolism	57.14	8 of 14
66794	reductive acetyl coenzyme A pathway	57.14	4 of 7
66794	molybdenum cofactor biosynthesis	55.56	5 of 9
66794	CO2 fixation in Crenarchaeota	55.56	5 of 9
66794	lipid A biosynthesis	55.56	5 of 9
66794	metabolism of disaccharids	54.55	6 of 11
66794	gluconeogenesis	50	4 of 8
66794	pantothenate biosynthesis	50	3 of 6
66794	aminopropanol phosphate biosynthesis	50	1 of 2
66794	4-hydroxyphenylacetate degradation	50	5 of 10
66794	CDP-diacylglycerol biosynthesis	50	1 of 2
66794	mannosylglycerate biosynthesis	50	1 of 2
66794	phenylmercury acetate degradation	50	1 of 2
66794	ethanol fermentation	50	1 of 2
66794	lysine metabolism	47.62	20 of 42
66794	vitamin B6 metabolism	45.45	5 of 11
66794	tryptophan metabolism	44.74	17 of 38
66794	cysteine metabolism	44.44	8 of 18
66794	lipid metabolism	41.94	13 of 31
66794	degradation of aromatic, nitrogen containing compounds	41.67	5 of 12
66794	arginine metabolism	41.67	10 of 24
66794	glycine metabolism	40	4 of 10
66794	arachidonate biosynthesis	40	2 of 5
66794	coenzyme M biosynthesis	40	4 of 10
66794	leucine metabolism	38.46	5 of 13
66794	tyrosine metabolism	35.71	5 of 14
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	enterobactin biosynthesis	33.33	1 of 3
66794	(5R)-carbapenem carboxylate biosynthesis	33.33	1 of 3
66794	selenocysteine biosynthesis	33.33	2 of 6
66794	Entner Doudoroff pathway	30	3 of 10
66794	degradation of hexoses	27.78	5 of 18
66794	degradation of pentoses	25	7 of 28
66794	degradation of sugar alcohols	25	4 of 16
66794	lactate fermentation	25	1 of 4
66794	butanoate fermentation	25	1 of 4
66794	cyclohexanol degradation	25	1 of 4
66794	toluene degradation	25	1 of 4
66794	dTDPLrhamnose biosynthesis	25	2 of 8
66794	CMP-KDO biosynthesis	25	1 of 4
66794	allantoin degradation	22.22	2 of 9
66794	glutathione metabolism	21.43	3 of 14

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
119731	-	+	+	+	+	-	-	-	-	-	+	+	-	-	-	+	-	-	-	-

API 50CHac

@ref	ControlQ	GLY	ERY	DARA	LARA	RIB	DXYL	LXYL	ADO	MDX	GAL	GLU	FRU	MNE	SBE	RHA	DUL	INO	MAN	SOR	MDM	MDG	NAG	AMY	ARB	ESC	SAL	CEL	MAL	LAC	MEL	SAC	TRE	INU	MLZ	RAF	AMD	GLYG	XLT	GEN	TUR	LYX	TAG	DFUC	LFUC	DARL	LARL	GNT	2KG	5KG
119731	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
8778	-	-	-	-	-	+	-	-	-	-	-	-	-	-	-	-	-	+/-	+	+/-	-	-	-	-	+	+	-	-	+
8778	-	-	-	-	-	+	-	-	-	-	-	-	-	-	-	-	-	-	+	-	-	-	-	-	+	+	-	-	-
8778	-	-	-	-	-	+	-	-	-	-	+	+/-	-	-	-	-	-	-	+	-	-	-	-	-	+	+	-	-	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Laboratory	#Contaminant

Isolation

@ref	Sample type
8778	culture contaminant
51303	Culture contaminant
67770	Culture contaminant
119731	Other, Contaminant culture

Taxonmaps

69479

Global distribution of 16S sequence KF906605 (>99% sequence identity) for Cutibacterium granulosum subclade from Microbeatlas

Aquatic Samples	5453
Soil Samples	2637
Animal Samples	40825
Plant Samples	1647
Total Samples	50562

Interaction and safety

Risk assessment

@ref	Pathogenicity human	Pathogenicity animal	Biosafety level	Biosafety level comment
8778			2	Risk group (German classification) According to TRBA 466
119731			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
66792	Cutibacterium granulosum ATCC 25564	complete			2518285595	1160719	96.56
66792	50569_F01 assembly for Cutibacterium granulosum NCTC11865	complete	GCA_900186975	33011.21	2814123075	33011	93.53
66792	Cutibacterium granulosum VPI 0507	complete			2512047045	1160719	43.23
66792	ASM170075v2 assembly for Cutibacterium granulosum DSM 20700	contig	GCA_001700755	1160719.7		1160719	38.66
67770	PG_DSM_assembly2012 assembly for Cutibacterium granulosum DSM 20700	contig	GCA_000463665	1160719.4	2602041680	1160719

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
20218	Propionibacterium granulosum strain ATCC 25564 16S-23S ribosomal RNA intergenic spacer and 23S ribosomal RNA gene, partial sequence	AF386070	232	1160719
20218	Propionibacterium granulosum ATCC 25564 16S rRNA gene, partial sequence	U02906	385	1160719
20218	Propionibacterium granulosum strain CIP 103262 16S ribosomal RNA gene, partial sequence	AY883046	462	1160719
20218	Propionibacterium granulosum DSM 20700 16S rRNA gene	AJ003057	1514	1160719
20218	Propionibacterium granulosum DSM 20700 16S ribosomal RNA gene, partial sequence	KF906605	1463	1160719
20218	Propionibacterium granulosum gene for 16S ribosomal RNA, partial sequence, strain: JCM 6498	AB638444	1485	1160719
124043	Cutibacterium granulosum DSM 20700 gene for 16S rRNA, partial sequence.	LC752449	570	1160719

GC content

@ref	GC-content (mol%)	Method
8778	63.0
67770	63	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: Cutibacterium granulosum NCTC11865
NCBI: GCA_900186975

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	90.80	no
125439	gram_stain	BacteriaNetⓘ	positive	99.60	no
125439	motility	BacteriaNetⓘ	no	96.60	no
125439	spore_formation	BacteriaNetⓘ	no	87.50	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Cutibacterium granulosum NCTC11865
NCBI: GCA_900186975.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	86.63	no
125438	anaerobic	anaerobicⓘ	yes	50.81	yes
125438	aerobic	aerobicⓘ	no	78.96	no
125438	spore-forming	spore-formingⓘ	no	75.41	no
125438	thermophilic	thermophileⓘ	no	90.38	yes
125438	flagellated	motile2+ⓘ	no	93.00	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Polyphenol-Rich Cranberry Beverage Positively Affected Skin Health, Skin Lipids, Skin Microbiome, Inflammation, and Oxidative Stress in Women in a Randomized Controlled Trial.	Christman L, De Benedetto A, Johnson E, Khoo C, Gu L.	Nutrients	10.3390/nu16183126	2024
	Propionibacterium (Cutibacterium) granulosum Extracellular DNase BmdE Targeting Propionibacterium (Cutibacterium) acnes Biofilm Matrix, a Novel Inter-Species Competition Mechanism.	Bronnec V, Eilers H, Jahns AC, Omer H, Alexeyev OA.	Front Cell Infect Microbiol	10.3389/fcimb.2021.809792	2021
	Detailed protocol for germ-free Drosophila melanogaster colonization with Propionibacterium spp. biofilms.	Bronnec V, Alexeyev OA.	STAR Protoc	10.1016/j.xpro.2022.101342	2022
Genetics	Clinical and Biological Features of Cutibacterium (Formerly Propionibacterium) avidum, an Underrecognized Microorganism.	Corvec S.	Clin Microbiol Rev	10.1128/cmr.00064-17	2018
	Multidrug Resistance Plasmid pTZC1 Could Be Pooled among Cutibacterium Strains on the Skin Surface.	Koizumi J, Nakase K, Hayashi N, Takeo C, Nakaminami H.	Microbiol Spectr	10.1128/spectrum.03628-22	2023
Pathogenicity	In vitro Antimicrobial Activity of Acne Drugs Against Skin-Associated Bacteria.	Blaskovich MAT, Elliott AG, Kavanagh AM, Ramu S, Cooper MA.	Sci Rep	10.1038/s41598-019-50746-4	2019
	Primary Cutaneous Melanoma Microbiome Is Associated with Overall Survival and Recurrence.	Chan AA, Noguti J, Maverakis Ramirez N, Navarrete M, Lee DJ.	J Invest Dermatol	10.1016/j.jid.2025.07.028	2025
Metabolism	Integrated analysis of microbiome and metabolome reveals signatures in PDAC tumorigenesis and prognosis.	Fang Y, Liu X, Ren J, Wang X, Zhou F, Huang S, You L, Zhao Y.	Microbiol Spectr	10.1128/spectrum.00962-24	2024
Genetics	Comparative genomic analyses of Cutibacterium granulosum provide insights into genomic diversity.	Chen P, Wang S, Li H, Qi X, Hou Y, Ma T.	Front Microbiol	10.3389/fmicb.2024.1343227	2024
	The increasing importance of the gut microbiome in acne vulgaris.	Siddiqui R, Makhlouf Z, Khan NA.	Folia Microbiol (Praha)	10.1007/s12223-022-00982-5	2022
	Comparative Analysis of Bacteriome in Hair Follicle Layers of Patients with Female Pattern Androgenic Alopecia.	Park Y, Kyung S, Mun S, Yu BS, Yun K, Baek C, Lee DG, Kang S, Kim SR, Kim JH, Lee Y, Park BC, Han K.	Microorganisms	10.3390/microorganisms13061365	2025
	Fast and Sensitive Multiplex Real-Time Quantitative PCR to Detect Cutibacterium Periprosthetic Joint Infections.	Prinz J, Schmid B, Zbinden R, Zingg PO, Uckay I, Achermann Y, Bosshard PP.	J Mol Diagn	10.1016/j.jmoldx.2022.03.003	2022
	Genitourinary microbiomes and prostate cancer: a systematic review and meta-analysis of tumorigeneses and cancer characteristics.	Parizi MK, Matsukawa A, Alimohammadi A, Klemm J, Tsuboi I, Fazekas T, Laukhtina E, Chiujdea S, Karakiewicz PI, Shariat SF.	Cent European J Urol	10.5173/ceju.2024.80	2024
Phylogeny	Prosthetic valve infective endocarditis caused by Cutibacterium modestum: a case report.	Shikama N, Takiguchi Y, Takeda M, Mori N, Ishio N.	Eur Heart J Case Rep	10.1093/ehjcr/ytae313	2024
	The Brief Case: A Mixed Cutibacterium Species Positive Valve Culture Hiding a Bartonella Infective Endocarditis.	Ruffier D'Epenoux L, Fayoux E, Guillouzouic A, Lecomte R, Le Tourneau T, Le Lan N, Tessier E, Bemer P, Corvec S.	J Clin Microbiol	10.1128/jcm.00768-22	2023
Phylogeny	At-home, self-sampling of the skin microbiome: development of an unsupervised sampling approach.	Leng J, Tyson-Carr J, Adams S, Scott M, Thomas A, Giesbrecht T, Fallon N, Murphy B, Hoptroff M, Roberts C, Paterson S.	Access Microbiol	10.1099/acmi.0.000991.v3	2025
Phylogeny	Unravelling the eco-specificity and pathophysiological properties of Cutibacterium species in the light of recent taxonomic changes.	Dekio I, Asahina A, Shah HN.	Anaerobe	10.1016/j.anaerobe.2021.102411	2021
	Whole-Genome Deep Sequencing of the Healthy Adult Nasal Microbiome.	Cannon M, Ferrer G, Tesch M, Schipma M.	Microorganisms	10.3390/microorganisms12071407	2024
	Staphylococcus aureus colonizing the skin microbiota of adults with severe atopic dermatitis exhibits genomic diversity and convergence in biofilm traits.	Sivori F, Cavallo I, Truglio M, De Maio F, Sanguinetti M, Fabrizio G, Licursi V, Francalancia M, Fraticelli F, La Greca I, Lucantoni F, Camera E, Mariano M, Ascenzioni F, Cristaudo A, Pimpinelli F, Di Domenico EG.	Biofilm	10.1016/j.bioflm.2024.100222	2024
Genetics	Urinary microbiome profile in men with genitourinary malignancies.	Ahn HK, Kim K, Park J, Kim KH.	Investig Clin Urol	10.4111/icu.20220124	2022
	Diversity and Meta-Analysis of Microbial Differential Abundance in Nasal Metatranscriptomic Profiles of Asthma.	Li A, Yue M, Ye X, Gaietto K, Wang-Erickson AF, Chen W.	J Respir Biol Transl Med	10.70322/jrbtm.2024.10018	2024
	Chronological age estimation from human microbiomes with transformer-based Robust Principal Component Analysis.	Myers T, Song SJ, Chen Y, De Pessemier B, Khatib L, McDonald D, Huang S, Gallo R, Callewaert C, Havulinna AS, Lahti L, Roeselers G, Laiola M, Shetty SA, Kelley ST, Knight R, Bartko A.	Commun Biol	10.1038/s42003-025-08590-y	2025
Phylogeny	Propionibacterium/Cutibacterium species-related positive samples, identification, clinical and resistance features: a 10-year survey in a French hospital.	Broly M, Ruffier d'Epenoux L, Guillouzouic A, Le Gargasson G, Juvin ME, Leroy AG, Bemer P, Corvec S.	Eur J Clin Microbiol Infect Dis	10.1007/s10096-020-03852-5	2020
	Renal pelvis urobiome dysbiosis is associated with postoperative systemic inflammatory response syndrome after percutaneous nephrolithotomy.	Wang Q, Chen X, Deng G, Huang K, Hong S, Jiang K.	mSystems	10.1128/msystems.00780-25	2025
	Shotgun metagenomic sequencing reveals skin microbial variability from different facial sites.	Wei Q, Li Z, Gu Z, Liu X, Krutmann J, Wang J, Xia J.	Front Microbiol	10.3389/fmicb.2022.933189	2022
	Shotgun Metagenomic Sequencing Analysis as a Diagnostic Strategy for Patients with Lower Respiratory Tract Infections.	Cho HE, Kim MJ, Choi J, Sohn YH, Lee JJ, Park KS, Cho SY, Park KH, Kim YJ.	Microorganisms	10.3390/microorganisms13061338	2025
	Antibiotic resistance rates in Cutibacterium acnes isolated from patients with acne vulgaris: a systematic review and meta-analysis.	Zhu C, Wei B, Li Y, Wang C.	Front Microbiol	10.3389/fmicb.2025.1565111	2025
Phylogeny	The microbiome of the human facial skin is unique compared to that of other hominids.	Degregori S, Manus MB, Qu EB, Mendall CP, Baker JS, Hopper LM, Amato KR, Lieberman TD.	mSystems	10.1128/msystems.00081-25	2025
Metabolism	A New Pathway for Forming Acetate and Synthesizing ATP during Fermentation in Bacteria.	Zhang B, Lingga C, Bowman C, Hackmann TJ.	Appl Environ Microbiol	10.1128/aem.02959-20	2021
	The Skin Microbiome and Its Role in Psoriasis: A Review.	Celoria V, Rosset F, Pala V, Dapavo P, Ribero S, Quaglino P, Mastorino L.	Psoriasis (Auckl)	10.2147/ptt.s328439	2023
Phylogeny	First case of Cutibacterium avidum-infected pelvic lymphocele post-lymphadenectomy for endometrial cancer: A case report.	Toyoshima H, Tanigawa M, Nakamura K, Ishiguro C, Tanaka H, Nakanishi Y, Sakabe S.	Heliyon	10.1016/j.heliyon.2023.e21396	2023
	A High Rate of Bacteriologic Culture-Positive Findings Is Seen After Revision Rotator Cuff Surgery.	Malige A, Boyd A, Manuputy I, Michelin R, Itamura JM.	Arthrosc Sports Med Rehabil	10.1016/j.asmr.2023.100792	2023
Genetics	Dysbiosis and genomic plasticity in the oily scalp microbiome: a multi-omics analysis of dandruff pathogenesis.	Yu H, Li J, Wang Y, Zhang T, Mehmood T, Habimana O.	Front Microbiol	10.3389/fmicb.2025.1595030	2025
Genetics	Integrated Human Skin Bacteria Genome Catalog Reveals Extensive Unexplored Habitat-Specific Microbiome Diversity and Function.	Li Z, Ju Y, Xia J, Zhang Z, Zhen H, Tong X, Sun Y, Lu H, Zong Y, Chen P, Cai K, Wang Z, Yang H, Wang J, Wang J, Hou Y, Jin X, Zhang T, Zhang W, Xu X, Xiao L, Guo R, Nie C.	Adv Sci (Weinh)	10.1002/advs.202300050	2023
	Helicobacter pylori infection alters gastric microbiota structure and biological functions in patients with gastric ulcer or duodenal ulcer.	Jin LX, Fang YP, Xia CM, Cai TW, Li QQ, Wang YY, Yan HF, Chen X.	World J Gastroenterol	10.3748/wjg.v30.i24.3076	2024
	Reduced microbial diversity of the nasopharyngeal microbiome in household contacts with latent tuberculosis infection.	Ruiz-Tagle C, Ugalde JA, Naves R, Araos R, Garcia P, Balcells ME.	Sci Rep	10.1038/s41598-023-34052-8	2023
Phylogeny	A multiphasic approach to solve misidentification of Cutibacterium acnes as Atopobium vaginae during routine bacterial screening of platelet concentrates using the VITEK 2 system.	Kumaran D, Laflamme C, Ramirez-Arcos S.	Access Microbiol	10.1099/acmi.0.000539.v3	2023
	Acne and the cutaneous microbiome: A systematic review of mechanisms and implications for treatments.	Podwojniak A, Tan IJ, Sauer J, Neubauer Z, Rothenberg H, Ghani H, Parikh AK, Cohen B.	J Eur Acad Dermatol Venereol	10.1111/jdv.20332	2025
Genetics	Cutibacterium avidum: A Potent and Underestimated Pathogen in Prosthetic Hip Joint Infections.	Karlsson J, Kamenska N, Matuschek E, Bruggemann H, Soderquist B.	Microorganisms	10.3390/microorganisms12030432	2024
	Dual RNA-Seq reveals transcriptionally active microbes (TAMs) dynamics in the serum of dengue patients associated with disease severity.	Yadav A, Kumari P, Devi P, Adjele JJB, Budhiraja S, Tarai B, Pandey R.	Front Microbiol	10.3389/fmicb.2023.1307859	2023
Genetics	Exploring the pediatric nasopharyngeal bacterial microbiota with culture-based MALDI-TOF mass spectrometry and targeted metagenomic sequencing.	Pol S, Kallonen T, Maklin T, Sar P, Hopkins J, Soeng S, Miliya T, Ling CL, Bentley SD, Corander J, Turner P.	mBio	10.1128/mbio.00784-24	2024
	Characterization and Analysis of the Skin Microbiota in Acne: Impact of Systemic Antibiotics.	Park SY, Kim HS, Lee SH, Kim S.	J Clin Med	10.3390/jcm9010168	2020
	MRSA and Skin Infections in Psoriatic Patients: Therapeutic Options and New Perspectives.	Rizzetto G, Molinelli E, Radi G, Cirioni O, Brescini L, Giacometti A, Offidani A, Simonetti O.	Antibiotics (Basel)	10.3390/antibiotics11111504	2022
	Non-tuberculous mycobacteria enhance the tryptophan-kynurenine pathway to induce immunosuppression and facilitate pulmonary colonization.	Li L, Shao J, Tong C, Gao W, Pan P, Qi C, Gao C, Zhang Y, Zhu Y, Chen C.	Front Cell Infect Microbiol	10.3389/fcimb.2024.1455605	2024
	Microbes translocation from oral cavity to nasopharyngeal carcinoma in patients.	Liao Y, Wu YX, Tang M, Chen YW, Xie JR, Du Y, Wang TM, He YQ, Xue WQ, Zheng XH, Liu QY, Zheng MQ, Jia YJ, Tong XT, Zhou T, Li XZ, Yang DW, Diao H, Jia WH.	Nat Commun	10.1038/s41467-024-45518-2	2024
	Antimicrobial Activity of Gelatin Nanofibers Enriched by Essential Oils against Cutibacterium acnes and Staphylococcus epidermidis.	Uhlirova R, Langova D, Bendova A, Gross M, Skoumalova P, Marova I.	Nanomaterials (Basel)	10.3390/nano13050844	2023
	Efficacy and Safety of Cannabis Transdermal Patch for Alleviating Psoriasis Symptoms: Protocol for a Randomized Controlled Trial (CanPatch).	Sermsaksasithorn P, Asawanonda P, Phutrakool P, Ondee T, Chariyavilaskul P, Payungporn S, Pongpirul K, Hirankarn N.	Med Cannabis Cannabinoids	10.1159/000539492	2024
Pathogenicity	Cutibacterium avidum resists surgical skin antisepsis in the groin-a potential risk factor for periprosthetic joint infection: a quality control study.	Maurer SM, Kursawe L, Rahm S, Prinz J, Zinkernagel AS, Moter A, Kuster SP, Zbinden R, Zingg PO, Achermann Y.	Antimicrob Resist Infect Control	10.1186/s13756-021-00883-1	2021
	Microecology in vitro model replicates the human skin microbiome interactions.	Wang P, Li H, Zhang X, Wang X, Sun W, Zhang X, Chi B, Go Y, Chan XHF, Wu J, Huang Q.	Nat Commun	10.1038/s41467-025-58377-2	2025
Genetics	Phenotypic and Genotypic Characterization of Cutibacterium acnes Isolated from Shoulder Surgery Reveals Insights into Genetic Diversity.	Kurihara MNL, Santos INM, Eisen AKA, Caleiro GS, Araujo J, Sales RO, Pignatari AC, Salles MJ.	Microorganisms	10.3390/microorganisms11102594	2023
	Comparison of two different antiseptics regarding intracutaneous microbial load after preoperative skin cleansing in total knee and hip arthroplasties.	Bohle S, Vogel AM, Matziolis G, Strube P, Rohe S, Brodt S, Mastrocola M, Eijer H, Rodel J, Lindemann C.	Sci Rep	10.1038/s41598-022-23070-7	2022
Phylogeny	Effect of Seasonality on Microbiological Variability of Raw Cow Milk from Apulian Dairy Farms in Italy.	Celano G, Calasso M, Costantino G, Vacca M, Ressa A, Nikoloudaki O, De Palo P, Calabrese FM, Gobbetti M, De Angelis M.	Microbiol Spectr	10.1128/spectrum.00514-22	2022
	Characterization and Analysis of the Skin Microbiota in Rosacea: A Case-Control Study.	Rainer BM, Thompson KG, Antonescu C, Florea L, Mongodin EF, Bui J, Fischer AH, Pasieka HB, Garza LA, Kang S, Chien AL.	Am J Clin Dermatol	10.1007/s40257-019-00471-5	2020
	Cutibacterium spp. Infections after Instrumented Spine Surgery Have a Good Prognosis Regardless of Rifampin Use: A Cross-Sectional Study.	Nunez-Pereira S, Benavent E, Ulldemolins M, Sobrino-Diaz B, Iribarren JA, Escudero-Sanchez R, Del Toro MD, Nodar A, Sorli L, Bahamonde A, Vilchez HH, Gasch O, Munez E, Rodriguez-Montserrat D, Garcia-Pais MJ, Haddad S, Sellares-Nadal J, Murillo O, Rodriguez-Pardo D, On Behalf Of Geio-Seimc Group For The Study Of Osteoarticular Infections-Spanish Society Of Infectious Diseases And Clinical Microbiology.	Antibiotics (Basel)	10.3390/antibiotics12030518	2023
Genetics	Anatomy promotes neutral coexistence of strains in the human skin microbiome.	Conwill A, Kuan AC, Damerla R, Poret AJ, Baker JS, Tripp AD, Alm EJ, Lieberman TD.	Cell Host Microbe	10.1016/j.chom.2021.12.007	2022
	Microbiota in Rosacea.	Kim HS.	Am J Clin Dermatol	10.1007/s40257-020-00546-8	2020
	Two human milk-like synthetic bacterial communities displayed contrasted impacts on barrier and immune responses in an intestinal quadricellular model.	Le Bras C, Rault L, Jacquet N, Daniel N, Chuat V, Valence F, Bellanger A, Bousarghin L, Blat S, Le Loir Y, Le Huerou-Luron I, Even S.	ISME Commun	10.1093/ismeco/ycad019	2024
	Oral bacteria in infective endocarditis requiring surgery: a retrospective analysis of 134 patients.	Deppe H, Reitberger J, Behr AV, Vitanova K, Lange R, Wantia N, Wagenpfeil S, Sculean A, Ritschl LM.	Clin Oral Investig	10.1007/s00784-022-04465-2	2022
	Paenibacillus spp infection among infants with postinfectious hydrocephalus in Uganda: an observational case-control study.	Morton SU, Hehnly C, Burgoine K, Ssentongo P, Ericson JE, Kumar MS, Hagmann C, Fronterre C, Smith J, Movassagh M, Streck N, Bebell LM, Bazira J, Kumbakumba E, Bajunirwe F, Mulondo R, Mbabazi-Kabachelor E, Nsubuga BK, Natukwatsa D, Nalule E, Magombe J, Erickson T, Ngonzi J, Ochora M, Olupot-Olupot P, Onen J, Ssenyonga P, Mugamba J, Warf BC, Kulkarni AV, Lane J, Whalen AJ, Zhang L, Sheldon K, Meier FA, Kiwanuka J, Broach JR, Paulson JN, Schiff SJ.	Lancet Microbe	10.1016/s2666-5247(23)00106-4	2023
Phylogeny	High resolution 16S rRNA gene Next Generation Sequencing study of brain areas associated with Alzheimer's and Parkinson's disease.	Emery DC, Davies M, Cerajewska TL, Taylor J, Hazell M, Paterson A, Allen-Birt SJ, West NX.	Front Aging Neurosci	10.3389/fnagi.2022.1026260	2022
	Diversity and Composition of the Skin, Blood and Gut Microbiome in Rosacea-A Systematic Review of the Literature.	Tutka K, Zychowska M, Reich A.	Microorganisms	10.3390/microorganisms8111756	2020
	In vitro model of human mammary gland microbial colonization (MAGIC) demonstrates distinctive cytokine response to imbalanced human milk microbiota.	Treven P, Paveljsek D, Kostanjsek R, Golob M, Bogovic Matijasic B, Mohar Lorbeg P.	Microbiol Spectr	10.1128/spectrum.02369-23	2024
	Genetic determinants of antimicrobial resistance in three multi-drug resistant strains of Cutibacterium acnes isolated from patients with acne: a predictive in silico study.	Beirne C, McCann E, McDowell A, Miliotis G.	Access Microbiol	10.1099/acmi.0.000404	2022
	The Role of the Skin Microbiome in Acne: Challenges and Future Therapeutic Opportunities.	Niedzwiedzka A, Micallef MP, Biazzo M, Podrini C.	Int J Mol Sci	10.3390/ijms252111422	2024
	The difference in pathogenic bacteria between chronic rhinosinusitis in patients with and without Sjogren's syndrome: a retrospective case-control study.	Yang PR, Shih WT, Yang YH, Liu CY, Tsai MS, Tsai YT, Hsu CM, Wu CY, Chang PJ, Chang GH.	BMC Infect Dis	10.1186/s12879-022-07652-4	2022
Genetics	Genome-Wide Pathway Exploration of the Epidermidibacterium keratini EPI-7^T.	Oh Y, Mun S, Choi YB, Jo H, Lee DG, Han K.	Microorganisms	10.3390/microorganisms11040870	2023
	The Impact of Surgical Strategy and Rifampin on Treatment Outcome in Cutibacterium Periprosthetic Joint Infections.	Kusejko K, Aunon A, Jost B, Natividad B, Strahm C, Thurnheer C, Pablo-Marcos D, Slama D, Scanferla G, Uckay I, Waldmann I, Esteban J, Lora-Tamayo J, Clauss M, Fernandez-Sampedro M, Wouthuyzen-Bakker M, Ferrari MC, Gassmann N, Sendi P, Jent P, Morand PC, Vijayvargiya P, Trebse R, Patel R, Kouyos RD, Corvec S, Kramer TS, Stadelmann VA, Achermann Y.	Clin Infect Dis	10.1093/cid/ciaa1839	2021
	Skin microbiome differentiates into distinct cutotypes with unique metabolic functions upon exposure to polycyclic aromatic hydrocarbons.	Leung MHY, Tong X, Shen Z, Du S, Bastien P, Appenzeller BMR, Betts RJ, Mezzache S, Bourokba N, Cavusoglu N, Aguilar L, Misra N, Clavaud C, Lee PKH.	Microbiome	10.1186/s40168-023-01564-4	2023
Pathogenicity	Enhanced Antibacterial Activity of Clindamycin Using Molecularly Imprinted Polymer Nanoparticles Loaded with Polyurethane Nanofibrous Scaffolds for the Treatment of Acne Vulgaris.	Elhabal SF, Abdelmonem R, El Nashar RM, Elrefai MFM, Hamdan AME, Safwat NA, Shoela MS, Hassan FE, Rizk A, Kabil SL, El-Nabarawy NA, Taha AA, El-Nabarawi M, El-Nabarawi M.	Pharmaceutics	10.3390/pharmaceutics16070947	2024
	The role of biofilm formation in the pathogenesis and antimicrobial susceptibility of Cutibacterium acnes.	Coenye T, Spittaels KJ, Achermann Y.	Biofilm	10.1016/j.bioflm.2021.100063	2022
	The updates and implications of cutaneous microbiota in acne.	Huang C, Zhuo F, Han B, Li W, Jiang B, Zhang K, Jian X, Chen Z, Li H, Huang H, Dou X, Yu B.	Cell Biosci	10.1186/s13578-023-01072-w	2023
Pathogenicity	Therapeutic Effect of a Newly Isolated Lytic Bacteriophage against Multi-Drug-Resistant Cutibacterium acnes Infection in Mice.	Lam HYP, Lai MJ, Chen TY, Wu WJ, Peng SY, Chang KC.	Int J Mol Sci	10.3390/ijms22137031	2021
	Persistent Neutrophil Infiltration and Unique Ocular Surface Microbiome Typify Dupilumab-Associated Conjunctivitis in Patients with Atopic Dermatitis.	Patra V, Woltsche N, Cerpes U, Bokanovic D, Repelnig M, Joshi A, Perchthaler I, Fischl M, Vocanson M, Bordag N, Durdevic M, Woltsche J, Quehenberger F, Legat F, Wedrich A, Horwath-Winter J, Wolf P.	Ophthalmol Sci	10.1016/j.xops.2023.100340	2024
	Antibiotic Susceptibility of Cutibacterium acnes Strains Isolated from Israeli Acne Patients.	Sheffer-Levi S, Rimon A, Lerer V, Shlomov T, Coppenhagen-Glazer S, Rakov C, Zeiter T, Nir-Paz R, Hazan R, Molho-Pessach V.	Acta Derm Venereol	10.2340/00015555-3654	2020
	Circulating Antibodies to Skin Bacteria Detected by Serological Lateral Flow Immunoassays Differentially Correlated With Bacterial Abundance.	Huang RY, Lee CN, Moochhala S.	Front Microbiol	10.3389/fmicb.2021.709562	2021
	Solution Structure of the Cutibacterium acnes-Specific Protein RoxP and Insights Into Its Antioxidant Activity.	Stodkilde K, Nielsen JT, Petersen SV, Paetzold B, Bruggemann H, Mulder FAA, Andersen CBF.	Front Cell Infect Microbiol	10.3389/fcimb.2022.803004	2022
	Composition of cutaneous bacterial microbiome in seborrheic dermatitis patients: A cross-sectional study.	Sanders MGH, Nijsten T, Verlouw J, Kraaij R, Pardo LM.	PLoS One	10.1371/journal.pone.0251136	2021
	Wastewater from the Edible Oil Industry as a Potential Source of Lipase- and Surfactant-Producing Actinobacteria.	Welz P, Swanepoel G, Weels S, Le Roes-Hill M.	Microorganisms	10.3390/microorganisms9091987	2021
	Location and condition based reconstruction of colon cancer microbiome from human RNA sequencing data.	Sambruni G, Macandog AD, Wirbel J, Cagnina D, Catozzi C, Dallavilla T, Borgo F, Fazio N, Fumagalli-Romario U, Petz WL, Manzo T, Ravenda SP, Zeller G, Nezi L, Schaefer MH.	Genome Med	10.1186/s13073-023-01180-9	2023
	Microbial Reference Frames Reveal Distinct Shifts in the Skin Microbiota after Cleansing.	Sfriso R, Claypool J.	Microorganisms	10.3390/microorganisms8111634	2020
	Antimicrobial Susceptibility, Biotypes and Phylotypes of Clinical Cutibacterium (Formerly Propionibacterium) acnes Strains Isolated from Acne Patients: An Observational Study.	Zhang N, Yuan R, Xin KZ, Lu Z, Ma Y.	Dermatol Ther (Heidelb)	10.1007/s13555-019-00320-7	2019
	Uncovering Microbial Composition in Human Breast Cancer Primary Tumour Tissue Using Transcriptomic RNA-seq.	Hadzega D, Minarik G, Karaba M, Kalavska K, Benca J, Ciernikova S, Sedlackova T, Nemcova P, Bohac M, Pindak D, Klucar L, Mego M.	Int J Mol Sci	10.3390/ijms22169058	2021
Genetics	Cobamide Sharing Is Predicted in the Human Skin Microbiome.	Swaney MH, Sandstrom S, Kalan LR.	mSystems	10.1128/msystems.00677-22	2022
	An Insight into Biomolecules for the Treatment of Skin Infectious Diseases.	Felgueiras HP.	Pharmaceutics	10.3390/pharmaceutics13071012	2021
Genetics	Integrating cultivation and metagenomics for a multi-kingdom view of skin microbiome diversity and functions.	Saheb Kashaf S, Proctor DM, Deming C, Saary P, Holzer M, NISC Comparative Sequencing Program, Taylor ME, Kong HH, Segre JA, Almeida A, Finn RD.	Nat Microbiol	10.1038/s41564-021-01011-w	2022
Enzymology	Characterization of the human skin resistome and identification of two microbiota cutotypes.	Li Z, Xia J, Jiang L, Tan Y, An Y, Zhu X, Ruan J, Chen Z, Zhen H, Ma Y, Jie Z, Xiao L, Yang H, Wang J, Kristiansen K, Xu X, Jin L, Nie C, Krutmann J, Liu X, Wang J.	Microbiome	10.1186/s40168-020-00995-7	2021
Pathogenicity	Host-microbiome interactions and recent progress into understanding the biology of acne vulgaris.	O'Neill AM, Gallo RL.	Microbiome	10.1186/s40168-018-0558-5	2018
Genetics	Genome-Based Taxonomic Classification of the Phylum Actinobacteria.	Nouioui I, Carro L, Garcia-Lopez M, Meier-Kolthoff JP, Woyke T, Kyrpides NC, Pukall R, Klenk HP, Goodfellow M, Goker M.	Front Microbiol	10.3389/fmicb.2018.02007	2018
Phylogeny	Mitogenic activity of the cell walls of mycobacteria, nocardia, corynebacteria and anaerobic coryneforms.	Azuma I, Taniyama T, Sugimura K, Aladin A, Yamamura Y	Jpn J Microbiol	10.1111/j.1348-0421.1976.tb00987.x	1976
Genetics	Lactimicrobium massiliense gen. nov., sp. nov.; Anaerolactibacter massiliensis gen. nov., sp. nov.; Galactobacillus timonensis gen. nov., sp. nov. and Acidipropionibacterium timonense sp. nov. isolated from breast milk from healthy breastfeeding African women.	Togo AH, Diop A, Camara A, Kuete E, Konate S, Brevaut V, Des Robert C, Delerce J, Armstrong N, Roussel Y, Fournier PE, Thera MA, Raoult D, Million M.	New Microbes New Infect	10.1016/j.nmni.2019.100537	2019
Phylogeny	Cutibacterium modestum sp. nov., isolated from meibum of human meibomian glands, and emended descriptions of Cutibacterium granulosum and Cutibacterium namnetense.	Dekio I, Sakamoto M, Suzuki T, Yuki M, Kinoshita S, Murakami Y, Ohkuma M.	Int J Syst Evol Microbiol	10.1099/ijsem.0.004058	2020

References

#8778	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 20700
#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 )
#20218	Verslyppe, B., De Smet, W., De Baets, B., De Vos, P., Dawyndt P.: StrainInfo introduces electronic passports for microorganisms.. Syst Appl Microbiol. 37: 42 - 50 2014 ( DOI 10.1016/j.syapm.2013.11.002 , PubMed 24321274 )
#42200	; Curators of the CIP;
#51303	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 32987
#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;
#68371	Automatically annotated from API 50CH acid .
#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 .
#119731	Collection of Institut Pasteur ; Curators of the CIP; CIP 103262
#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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Cutibacterium granulosum (DSM 20700, ATCC 25564, CIP 110009)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

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Physiology and metabolism

Oxygen tolerance

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Murein

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Antibiotic resistance

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