Cite this strain

Weissella confusa (CCUG 54486)

Name: Weissella confusa (CCUG 54486)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 154588

Type strain

Culture col. no. CCUG 54486

NCBI tax ID(s) 1583

Special Collections CCUG

Links

Weissella confusa CCUG 54486 is a microaerophile bacterium that was isolated from Human drain,51-yr-old man,PTC.

microaerophile genome sequence Bacteria

Name and taxonomic classification

SI-ID 303105

CCUG 54486

@ref 20215

Last LPSN update 2026-05-29 08:43:05

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
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
155557	W. confusa CCUG 58143
156396	W. confusa CCUG 61560
172653	W. confusa CRBIP24.132

Morphology

Cell morphology

@ref	Confidence	Gram stain
125438	93
125438	95.099	positive
125439	92.047
125439	97.897	positive

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)
60199	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
60199	microaerophile
125439	facultative anaerobe	98.403

Spore formation

@ref	Spore formation	Confidence
125439		97.786

Isolation, sampling and environmental information

Isolation source categories

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

Isolation

@ref	Sample type	Host species	Sampling date	Geographic location	Country	Country ISO 3 Code	Continent
60199	Human drain,51-yr-old man,PTC	Homo sapiens	2007-03-05	Göteborg	Sweden	SWE	Europe

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	NCBI tax ID	Score
66792	ASM1646586v1 assembly for Weissella confusa CCUG 54486	contig	GCA_016465865	1583.266	1583	67.61

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM1646586v1 assembly for Weissella confusa CCUG 54486
NCBI: GCA_016465865

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	gram_stain	BacteriaNetⓘ	positive	97.90	no
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	98.40	no
125439	motility	BacteriaNetⓘ	no	92.05	no
125439	spore_formation	BacteriaNetⓘ	no	97.79	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Weissella confusa strain CCUG 54486
PATRIC: 1583.266

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	95.10	no
125438	anaerobic	anaerobicⓘ	no	84.96	yes
125438	spore-forming	spore-formingⓘ	no	87.96	no
125438	aerobic	aerobicⓘ	no	90.62	yes
125438	thermophilic	thermophileⓘ	no	94.48	yes
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 )
#60199	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 54486
#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) .
#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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