Enterococcus canintestini (DSM 21207, CCM 7285, LMG 13590)

Name: Enterococcus canintestini (DSM 21207, CCM 7285, LMG 13590)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 5347

Type strain

Strain Designation Devriese S33, S33

Culture col. no. DSM 21207 CCM 7285 LMG 13590 Devriese S33 CCUG 51312 4 more

NCBI tax ID(s) 317010

Special Collections DSMZ CCUG JCM Literature strains CIP

History DSMZ <- CCM; CCM 7285 JCM <-- CCUG 37857 <-- LMG 13590 <-- L. A. Devriese S33. CIP <- 2005, CCM <- 2005, LMG <- L. Devriese, Ghent Univ., Ghent, Belgium: strain S33

Links

Enterococcus canintestini Devriese S33 is a microaerophile, Gram-positive, coccus-shaped bacterium that was isolated from dog faeces.

Gram-positive coccus-shaped microaerophile genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 10162

LMG 13590,JCM 19616,CCUG 37857,CCM 7285,CCUG 51312,DSM 21207,CIP 108927

@ref 20215

Last LPSN update 2026-05-29 08:26:09

Domain Bacteria

Phylum Bacillota

Class Bacilli

Order Lactobacillales

Family Enterococcaceae

Genus Enterococcus

Species Enterococcus canintestini

Full scientific name Enterococcus canintestini Naser et al. 2005

BacDive ID	Other strains from **Enterococcus canintestini** (4)	Type strain
138433	E. canintestini CIP 104999
153830	E. canintestini CCUG 51309, LMG 22752
153831	E. canintestini CCUG 51310, LMG 22755
153832	E. canintestini CCUG 51311, LMG 22753

Morphology

Cell morphology

@ref	Gram stain	Cell shape	Confidence
31532	positive	coccus-shaped
125438			90
125438	positive		92.414

Colony morphology

15497

Incubation period1-2 days

Pigmentation

31532

Productionno

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
15497	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
15497	TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92)	Medium recipe at MediaDive	Name: TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92) Composition: Trypticase soy broth 30.0 g/l Agar 15.0 g/l Yeast extract 3.0 g/l Distilled water
36505	MEDIUM 29- Brain heart agar		Distilled water make up to (1000.000 ml);Brain heart infusion agar (52.000 g)
117133	CIP Medium 29	Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)
15497	positive	growth	37
31532	positive	growth	25-42
31532	positive	optimum	37
36505	positive	growth	37
67770	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
15497	microaerophile
125439	obligate aerobe	98.469

Halophily

@ref	Salt	Growth	Tested relation	Concentration
31532	NaCl	positive	growth	6.5 %
31532	NaCl	positive	optimum	6.5 %

Observation

31532

Observationaggregates in clumps

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
31532	16808 ChEBI	2-dehydro-D-gluconate	+	carbon source
68381	40585 ChEBI	alpha-cyclodextrin	-	builds acid from	from API rID32STR
68381	29016 ChEBI	arginine	+	hydrolysis	from API rID32STR
31532	17057 ChEBI	cellobiose	+	carbon source
68381	18333 ChEBI	D-arabitol	-	builds acid from	from API rID32STR
68381	16899 ChEBI	D-mannitol	-	builds acid from	from API rID32STR
68381	16988 ChEBI	D-ribose	+	builds acid from	from API rID32STR
68381	16443 ChEBI	D-tagatose	+	builds acid from	from API rID32STR
31532	4853 ChEBI	esculin	+	hydrolysis
31532	28757 ChEBI	fructose	+	carbon source
31532	28260 ChEBI	galactose	+	carbon source
31532	17234 ChEBI	glucose	+	carbon source
31532	17754 ChEBI	glycerol	+	carbon source
68381	28087 ChEBI	glycogen	-	builds acid from	from API rID32STR
68381	606565 ChEBI	hippurate	-	hydrolysis	from API rID32STR
68381	30849 ChEBI	L-arabinose	-	builds acid from	from API rID32STR
31532	17716 ChEBI	lactose	+	carbon source
68381	17716 ChEBI	lactose	-	builds acid from	from API rID32STR
31532	17306 ChEBI	maltose	+	carbon source
68381	17306 ChEBI	maltose	+	builds acid from	from API rID32STR
31532	37684 ChEBI	mannose	+	carbon source
68381	6731 ChEBI	melezitose	-	builds acid from	from API rID32STR
68381	28053 ChEBI	melibiose	-	builds acid from	from API rID32STR
68381	320055 ChEBI	methyl beta-D-glucopyranoside	+	builds acid from	from API rID32STR
31532	506227 ChEBI	N-acetylglucosamine	+	carbon source
68381	27941 ChEBI	pullulan	-	builds acid from	from API rID32STR
68381	16634 ChEBI	raffinose	-	builds acid from	from API rID32STR
31532	33942 ChEBI	ribose	+	carbon source
31532	17814 ChEBI	salicin	+	carbon source
68381	30911 ChEBI	sorbitol	-	builds acid from	from API rID32STR
31532	17992 ChEBI	sucrose	+	carbon source
68381	17992 ChEBI	sucrose	+	builds acid from	from API rID32STR
31532	27082 ChEBI	trehalose	+	carbon source
68381	27082 ChEBI	trehalose	+	builds acid from	from API rID32STR
68381	16199 ChEBI	urea	-	hydrolysis	from API rID32STR
31532	18222 ChEBI	xylose	+	carbon source

Metabolite production

@ref	Chebi-ID	Metabolite	Production
68381	15688 ChEBI	acetoin		from API rID32STR

Metabolite tests

@ref	Chebi-ID	Metabolite	Voges-proskauer-test
68381	15688 ChEBI	acetoin	+	from API rID32STR

Enzymes

@ref	Value	Activity	Ec
68381	Alanyl-Phenylalanyl-Proline arylamidase	-		from API rID32STR
68381	alkaline phosphatase	-	3.1.3.1	from API rID32STR
31532	alpha-galactosidase	+	3.2.1.22
68381	alpha-galactosidase	+	3.2.1.22	from API rID32STR
68381	arginine dihydrolase	+	3.5.3.6	from API rID32STR
68381	beta-galactosidase	-	3.2.1.23	from API rID32STR
68381	beta-glucosidase	+	3.2.1.21	from API rID32STR
68381	beta-glucuronidase	-	3.2.1.31	from API rID32STR
68381	beta-mannosidase	-	3.2.1.25	from API rID32STR
68381	glycyl tryptophan arylamidase	+		from API rID32STR
68381	N-acetyl-beta-glucosaminidase	+	3.2.1.52	from API rID32STR
68381	pyrrolidonyl arylamidase	-	3.4.19.3	from API rID32STR
68381	urease	-	3.5.1.5	from API rID32STR

API rID32STR

@ref	ADH (Arg)	beta GLU	beta GAR	beta GUR	alpha GAL	PAL	RIB	MAN	SOR	LAC	TRE	RAF	SAC	LARA	DARL	Acid from alpha-cyclodextrinCDEX	Acetoin production (Voges Proskauer test)VP	Alanyl-Phenylalanyl-Proline arylamidaseAPPA	beta GAL	Pyrrolidonyl arylamidasePyrA	N-Acetyl-glucosaminidasebeta NAG	Glycyl-tryptophan arylamidaseGTA	HIP	GLYG	PUL	MAL	MEL	MLZ	Acidification of methyl beta-D-glucopyranosideMbeta DG	TAG	beta MAN	URE
15497	+	+	+	-	+	-	+	-	-	-	+	-	+	-	-	-	+	-	-	-	+	+	-	-	-	+	-	-	+	+	-	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Mammals	#Canidae (Dog)
#Host Body Product	#Gastrointestinal tract	#Feces (Stool)

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
15497	dog faeces	Belgium	BEL	Europe
67770	Fecal sample of healthy dog	Belgium	BEL	Europe
117133	Animal, Dog, feces	Belgium	BEL	Europe

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
15497	1	Risk group (German classification) According to TRBA 466
117133	2	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
124043	ASM4265306v1 assembly for Enterococcus canintestini CCUG 37857	contig	GCA_042653065			317010	66.54
67770	ASM188573v1 assembly for Enterococcus canintestini DSM 21207	contig	GCA_001885735	317010.5	8072315685	317010	65.66
124043	ASM4243335v1 assembly for Enterococcus canintestini CCM 7285	scaffold	GCA_042433355			317010	60.55

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
20218	Enterococcus canintestini strain LMG 13590 16S-23S ribosomal RNA intergenic spacer, partial sequence	EU089782	231	317010
15497	Enterococcus canintestini 16S rRNA gene, type strain LMG 13590T	AJ888906	1511	317010
67770	Enterococcus canintestini JCM 19616 gene for 16S rRNA, partial sequence	LC589220	1495	317010

GC content

@ref	GC-content (mol%)	Method
15497	36-37
31532	36.5
67770	36-37	high performance liquid chromatography (HPLC)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM4265306v1 assembly for Enterococcus canintestini CCUG 37857
NCBI: GCA_042653065

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.47	no
125439	gram_stain	BacteriaNetⓘ	positive	60.69	no
125439	motility	BacteriaNetⓘ	no	71.30	no
125439	spore_formation	BacteriaNetⓘ	no	85.06	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Enterococcus canintestini strain DSM 21207
PATRIC: 317010.5

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	92.41	yes
125438	anaerobic	anaerobicⓘ	no	89.17	no
125438	spore-forming	spore-formingⓘ	no	81.48	no
125438	thermophilic	thermophileⓘ	no	96.48	yes
125438	aerobic	aerobicⓘ	no	95.81	yes
125438	flagellated	motile2+ⓘ	no	90.00	yes

Literature

Topic	Title	Authors	Journal	DOI	Year
	Draft Genome Sequence of Enterococcus canintestini 49, a Potential Probiotic That Produces Multiple Bacteriocins.	Acedo JZ, Ibarra Romero C, Miyata ST, Blaine AH, McMullen LM, Vederas JC, van Belkum MJ.	Genome Announc	10.1128/genomea.01131-17	2017
Pathogenicity	First Attempt at Synthetic Microbial Communities Design for Rearing Gnotobiotic Black Soldier Fly Hermetia illucens (Linnaeus) Larvae	Auger L, Deschamps M, Vandenberg G, Derome N.	Insects		2025
Pathogenicity	Antibiotic Susceptibility and Virulence Genes in Enterococcus Isolates from Wild Mammals Living in Tuscany, Italy.	Dec M, Stepien-Pysniak D, Gnat S, Fratini F, Urban-Chmiel R, Cerri D, Winiarczyk S, Turchi B.	Microb Drug Resist	10.1089/mdr.2019.0052	2020
	Aerobic Vaginal Microflora in Gestational and Non-Gestational Bitches (Canis lupus familiaris).	Pop RA, Vasiu I, Meroni G, Martino PA, Dabrowski R, Tvarijonaviciute A, Fit IN.	Animals (Basel)	10.3390/ani14101501	2024
	Mining the microbiota to identify gut commensals modulating neuroinflammation in a mouse model of multiple sclerosis.	Bianchimano P, Britton GJ, Wallach DS, Smith EM, Cox LM, Liu S, Iwanowski K, Weiner HL, Faith JJ, Clemente JC, Tankou SK.	Microbiome	10.1186/s40168-022-01364-2	2022
	The in vitro effects of probiotic bacteria on genital pathogens of female dogs.	Edyta G, Natalia S, Marlena S, Natalia W, Joanna L, Arent Z, Magdalena S.	BMC Vet Res	10.1186/s12917-023-03635-y	2023
	Non-faecium non-faecalis enterococci: a review of clinical manifestations, virulence factors, and antimicrobial resistance.	Mullally CA, Fahriani M, Mowlaboccus S, Coombs GW.	Clin Microbiol Rev	10.1128/cmr.00121-23	2024
	The effect of an oral probiotic containing lactobacillus, bifidobacterium, and bacillus species on the vaginal microbiota of spayed female dogs.	Hutchins RG, Bailey CS, Jacob ME, Harris TL, Wood MW, Saker KE, Vaden SL.	J Vet Intern Med	10.1111/jvim.12174	2013
	Vaginal microbiota of spayed dogs with or without recurrent urinary tract infections.	Hutchins RG, Vaden SL, Jacob ME, Harris TL, Bowles KD, Wood MW, Bailey CS.	J Vet Intern Med	10.1111/jvim.12299	2014
Enzymology	Bacteremia caused by non-faecalis and non-faecium enterococcus species at a Medical center in Taiwan, 2000 to 2008.	Tan CK, Lai CC, Wang JY, Lin SH, Liao CH, Huang YT, Wang CY, Lin HI, Hsueh PR.	J Infect	10.1016/j.jinf.2010.04.007	2010
	Antimicrobial resistance among canine enterococci in the northeastern United States, 2007-2020.	Osman M, Altier C, Cazer C.	Front Microbiol	10.3389/fmicb.2022.1025242	2022
	Vaginal lactic acid bacteria in healthy and ill bitches and evaluation of in vitro probiotic activity of selected isolates.	Delucchi L, Fraga M, Perelmuter K, Cidade E, Zunino P.	Can Vet J		2008
	Repertoire of intensive care unit pneumonia microbiota.	Bousbia S, Papazian L, Saux P, Forel JM, Auffray JP, Martin C, Raoult D, La Scola B.	PLoS One	10.1371/journal.pone.0032486	2012
Metabolism	Characterization of a bioflocculant from a newly isolated Vagococcus sp. W31.	Gao J, Bao HY, Xin MX, Liu YX, Li Q, Zhang YF.	J Zhejiang Univ Sci B	10.1631/jzus.2006.b0186	2006
	Urinary tract infections: treatment/comparative therapeutics.	Olin SJ, Bartges JW.	Vet Clin North Am Small Anim Pract	10.1016/j.cvsm.2015.02.005	2015
Enzymology	Rapid concentration and molecular enrichment approach for sensitive detection of Escherichia coli and Shigella species in potable water samples.	Maheux AF, Bissonnette L, Boissinot M, Bernier JL, Huppe V, Picard FJ, Berube E, Bergeron MG.	Appl Environ Microbiol	10.1128/aem.02337-10	2011
Genetics	Enterococcus montenegrensis sp. nov., isolated from artisanal Montenegrin dry sausage.	Daza-Prieto B, Raicevic N, Cabal A, Hyden P, Mosenbacher T, Ladstatter J, Richter S, Stoger A, Joao Cardoso M, Chakeri A, Hasenberger P, Stadlbauer S, Mach RL, Martinovic A, Ruppitsch W.	Int J Syst Evol Microbiol	10.1099/ijsem.0.006206	2024
Phylogeny	Enterococcus pingfangensis sp. nov., Enterococcus dongliensis sp. nov., Enterococcus hulanensis sp. nov., Enterococcus nangangensis sp. nov. and Enterococcus songbeiensis sp. nov., isolated from Chinese traditional pickle juice.	Li YQ, Gu CT.	Int J Syst Evol Microbiol	10.1099/ijsem.0.003608	2019
Phylogeny	Enterococcus saigonensis sp. nov., isolated from retail chicken meat and liver.	Harada T, Dang VC, Nguyen DP, Nguyen TAD, Sakamoto M, Ohkuma M, Motooka D, Nakamura S, Uchida K, Jinnai M, Yonogi S, Kawahara R, Kanki M, Kawai T, Kumeda Y, Yamamoto Y	Int J Syst Evol Microbiol	10.1099/ijsem.0.001264	2016
Phylogeny	Enterococcus canintestini sp. nov., from faecal samples of healthy dogs.	Naser SM, Vancanneyt M, De Graef E, Devriese LA, Snauwaert C, Lefebvre K, Hoste B, Svec P, Decostere A, Haesebrouck F, Swings J	Int J Syst Evol Microbiol	10.1099/ijs.0.63752-0	2005

References

#15497	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 21207
#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 )
#27826	IJSEM 2177 2005 ( DOI 10.1099/ijs.0.63752-0 , PubMed 16166728 )
#31532	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 #27826
#36505	; Curators of the CIP;
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#68381	Automatically annotated from API rID32STR .
#117133	Collection of Institut Pasteur ; Curators of the CIP; CIP 108927
#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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Enterococcus canintestini (DSM 21207, CCM 7285, LMG 13590)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Pigmentation

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Halophily

Observation

Metabolite utilization

Metabolite production

Metabolite tests

Enzymes

API rID32STR

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_042653065

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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