Cite this strain

Weissella confusa (CCUG 30969)

Name: Weissella confusa (CCUG 30969)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 146342

Type strain

Culture col. no. CCUG 30969

NCBI tax ID(s) 1583

Special Collections CCUG

Links

Weissella confusa CCUG 30969 is a bacterium that was isolated from Human drain,13-yr-old girl.

genome sequence Bacteria

Name and taxonomic classification

SI-ID 8035

LMG 16883,CCUG 30969

@ref 20215

Last LPSN update 2026-05-29 08:41:09

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
148893	W. confusa CCUG 36556, LMG 17670
149544	W. confusa CCUG 37938
150163	W. confusa CCUG 39150
150289	W. confusa CCUG 39518
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	Confidence	Gram stain
125438	92.5
125438	96.366	positive
125439	90.287	positive

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	facultative anaerobe	95.66

Spore formation

@ref	Spore formation	Confidence
125439		94.307

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68379	17634 ChEBI	D-glucose	+	fermentation	from API Coryne
68379	16899 ChEBI	D-mannitol	-	fermentation	from API Coryne
68379	16988 ChEBI	D-ribose	-	fermentation	from API Coryne
68379	65327 ChEBI	D-xylose	+	fermentation	from API Coryne
68379	4853 ChEBI	esculin	+	hydrolysis	from API Coryne
68379	5291 ChEBI	gelatin	-	hydrolysis	from API Coryne
68379	28087 ChEBI	glycogen	-	fermentation	from API Coryne
68379	17716 ChEBI	lactose	-	fermentation	from API Coryne
68379	17306 ChEBI	maltose	+	fermentation	from API Coryne
68379	17632 ChEBI	nitrate	-	reduction	from API Coryne
68379	17992 ChEBI	sucrose	+	fermentation	from API Coryne
68379	16199 ChEBI	urea	-	hydrolysis	from API Coryne

Enzymes

@ref	Value	Activity	Ec
68379	alkaline phosphatase	+	3.1.3.1	from API Coryne
68379	alpha-glucosidase	-	3.2.1.20	from API Coryne
68379	beta-galactosidase	+	3.2.1.23	from API Coryne
68379	beta-glucosidase	+	3.2.1.21	from API Coryne
68379	beta-glucuronidase	-	3.2.1.31	from API Coryne
68379	catalase	+	1.11.1.6	from API Coryne
68379	gelatinase	-		from API Coryne
68379	N-acetyl-beta-glucosaminidase	-	3.2.1.52	from API Coryne
68379	pyrazinamidase	+	3.5.1.B15	from API Coryne
68379	pyrrolidonyl arylamidase	-	3.4.19.3	from API Coryne
68379	urease	-	3.5.1.5	from API Coryne

Fatty acid profile

Metadata FA analysis

@ref

50342

Fatty acid	Percentage	ECL
C16:0	38.4	16
C18:1 ω7c /12t/9t	25.5	17.824
C18:2 ω6,9c/C18:0 ANTE	17.9	17.724
C14:0	9.2	14
C16:1 ω7c	9.1	15.819

API coryne

@ref	Reduction of nitrateNIT	PYZ	PYRA	PAL	beta GUR	beta GAL	alpha GLU	beta NAG	ESC	URE	GEL	Control fermentationControl	GLU	RIB	XYL	MAN	MAL	LAC	SAC	GLYG	CAT
50342	-	+	-	+	-	+	-	-	+	-	-	-	+	-	+	-	+	-	+	-	+

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Human	#Child
#Host Body Product	#Fluids	-
#Infection	#Patient	-
#Host	#Human	#Female

Isolation

@ref	Sample type	Host species	Sampling date	Geographic location	Country	Country ISO 3 Code	Continent
50342	Human drain,13-yr-old girl	Homo sapiens	1993-01-08	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	ASM476618v1 assembly for Weissella confusa CCUG 30969	contig	GCA_004766185	1583.161	2849984077	1583	71.46
66792	ASM1646611v1 assembly for Weissella confusa CCUG 30969	contig	GCA_016466115	1583.277		1583	70.42

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM476618v1 assembly for Weissella confusa CCUG 30969
BV-BRC: 1583.161

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	95.66	no
125439	motility	BacteriaNetⓘ	no	73.78	no
125439	gram_stain	BacteriaNetⓘ	positive	90.29	no
125439	spore_formation	BacteriaNetⓘ	no	94.31	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Weissella confusa strain CCUG 30969
PATRIC: 1583.277

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	96.37	no
125438	anaerobic	anaerobicⓘ	no	86.64	no
125438	spore-forming	spore-formingⓘ	no	89.35	no
125438	thermophilic	thermophileⓘ	no	94.48	no
125438	aerobic	aerobicⓘ	no	90.27	no
125438	flagellated	motile2+ⓘ	no	92.50	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 )
#50342	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 30969
#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) .
#68379	Automatically annotated from API Coryne .
#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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