Cite this strain

Weissella confusa (CCUG 39518)

Name: Weissella confusa (CCUG 39518)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 150289

Type strain

Culture col. no. CCUG 39518

NCBI tax ID(s) 1583

Special Collections CCUG

Links

Weissella confusa CCUG 39518 is a bacterium that was isolated from Human feces,26-yr-old healthy man.

genome sequence Bacteria

Name and taxonomic classification

SI-ID 58303

CCUG 39518

@ref 20215

Last LPSN update 2026-05-29 08:42:06

Domain Bacteria

Phylum Bacillota

Class Bacilli

Order Lactobacillales

Family Lactobacillaceae

Genus Weissella

Species Weissella confusa

Full scientific name Weissella confusa (Holzapfel and Kandler 1969) Collins et al. 1994

Synonyms (2)

"Lactobacillus coprophilus subsp. confusus"
Lactobacillus confusus

BacDive ID	Other strains from **Weissella confusa** (20)	Type strain
6844	W. confusa 548-D, DSM 20196, ATCC 10881, NCDO 1586, ... (type strain)
6843	W. confusa DSM 20194, NCDO 1975, CIP 102979
138045	W. confusa 573-86, CIP 102578
138177	W. confusa R-915-5, CIP 105139, ATCC 14434, JCM 1562, ...
143159	W. confusa CCUG 17582
146270	W. confusa CCUG 30763
146336	W. confusa CCUG 30943
146342	W. confusa CCUG 30969
148893	W. confusa CCUG 36556, LMG 17670
149544	W. confusa CCUG 37938
150163	W. confusa CCUG 39150
150448	W. confusa CCUG 39957
150685	W. confusa CCUG 41966, LMG 18815
150718	W. confusa CCUG 42040
151003	W. confusa CCUG 43002
153809	W. confusa CCUG 51220
154588	W. confusa CCUG 54486
155557	W. confusa CCUG 58143
156396	W. confusa CCUG 61560
172653	W. confusa CRBIP24.132

Morphology

Cell morphology

@ref	Motility	Confidence	Gram stain
125438		93
125438		95.138	positive

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	facultative anaerobe	94.91

Spore formation

@ref	Spore formation	Confidence
125439		93.072

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68381	40585 ChEBI	alpha-cyclodextrin	-	builds acid from	from API rID32STR
68381	29016 ChEBI	arginine	+	hydrolysis	from API rID32STR
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
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
68381	17716 ChEBI	lactose	-	builds acid from	from API rID32STR
68381	17306 ChEBI	maltose	+	builds acid from	from API rID32STR
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
68381	27941 ChEBI	pullulan	-	builds acid from	from API rID32STR
68381	16634 ChEBI	raffinose	-	builds acid from	from API rID32STR
68381	30911 ChEBI	sorbitol	-	builds acid from	from API rID32STR
68381	17992 ChEBI	sucrose	-	builds acid from	from API rID32STR
68381	27082 ChEBI	trehalose	-	builds acid from	from API rID32STR
68381	16199 ChEBI	urea	-	hydrolysis	from API rID32STR

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
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
54829	+	+	-	-	-	+	-	-	-	-	-	-	-	-	-	-	+	+	+	-	-	-	-	-	-	+	-	-	+	-	-	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Human	#Male
#Host Body Product	#Gastrointestinal tract	#Feces (Stool)
#Infection	#Patient	-

Isolation

@ref	Sample type	Host species	Sampling date	Geographic location	Country	Country ISO 3 Code	Continent
54829	Human feces,26-yr-old healthy man	Homo sapiens	1998-06-01	Göteborg	Sweden	SWE	Europe

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM476609v1 assembly for Weissella confusa CCUG 39518	contig	GCA_004766095	1583.158	2849988515	1583	70.27
66792	ASM1646594v1 assembly for Weissella confusa CCUG 39518	contig	GCA_016465945	1583.270		1583	68.61

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM476609v1 assembly for Weissella confusa CCUG 39518
BV-BRC: 1583.158

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	94.91	no
125439	motility	BacteriaNetⓘ	no	75.24	no
125439	gram_stain	BacteriaNetⓘ	positive	89.49	no
125439	spore_formation	BacteriaNetⓘ	no	93.07	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Weissella confusa strain CCUG 39518
PATRIC: 1583.158

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	95.14	no
125438	anaerobic	anaerobicⓘ	no	85.63	no
125438	spore-forming	spore-formingⓘ	no	87.94	no
125438	aerobic	aerobicⓘ	no	90.16	no
125438	thermophilic	thermophileⓘ	no	94.98	no
125438	flagellated	motile2+ⓘ	no	93.00	no

Literature

References

#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 )
#54829	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 39518
#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) .
#68381	Automatically annotated from API rID32STR .
#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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