Periweissella fabalis (DSM 28407, CCUG 61472, LMG 26217)

Name: Periweissella fabalis (DSM 28407, CCUG 61472, LMG 26217)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 24150

Type strain

Strain Designation M75

Culture col. no. DSM 28407 CCUG 61472 LMG 26217 M75

NCBI tax ID(s) 1070421

Special Collections DSMZ CCUG Literature strains

History <- CCUG; CCUG 61472 <- I. Snauwaert, Univ. Ghent, Belgium

Links

Periweissella fabalis M75 is a microaerophile, mesophilic, Gram-positive prokaryote that was isolated from spontaneous cocoa bean fermentations.

Gram-positive ovoid-shaped microaerophile mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 374149

LMG 26217,CCUG 61472,DSM 28407

@ref 20215

Last LPSN update 2026-02-09 11:23:54

Domain Bacteria

Phylum Bacillota

Class Bacilli

Order Lactobacillales

Family Lactobacillaceae

Genus Periweissella

Species Periweissella fabalis

Full scientific name Periweissella fabalis (Snauwaert et al. 2013) Bello et al. 2022

Synonyms (1)

Weissella fabalis

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Motility
30619	positive	1.5 µm	1 µm	ovoid-shaped

Colony morphology

62635

Incubation period1 day

Pigmentation

30619

Productionyes

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
21073	MRS MEDIUM (DSMZ Medium 11)		Medium recipe at MediaDive	Name: MRS MEDIUM (DSMZ Medium 11) Composition: Glucose 20.0 g/l Casein peptone 10.0 g/l Meat extract 10.0 g/l Na-acetate 5.0 g/l Yeast extract 5.0 g/l (NH4)3 citrate 2.0 g/l K2HPO4 2.0 g/l Tween 80 1.0 g/l MgSO4 x 7 H2O 0.2 g/l MnSO4 x H2O 0.05 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
21073	positive	growth	30	mesophilic
30619	positive	growth	15-37
62635	positive	growth	30	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
21073	microaerophile
30619	facultative anaerobe
62635	aerobe
125439	obligate aerobe	97.2

Halophily

@ref	Salt	Growth	Tested relation	Concentration
30619	NaCl	positive	growth	05-06 %

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
30619	17057 ChEBI	cellobiose	+	carbon source
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
30619	4853 ChEBI	esculin	+	hydrolysis
68371	4853 ChEBI	esculin	+	builds acid from	from API 50CH acid
30619	28757 ChEBI	fructose	+	carbon source
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
30619	17234 ChEBI	glucose	+	carbon source
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
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
30619	17306 ChEBI	maltose	+	carbon source
68371	17306 ChEBI	maltose	-	builds acid from	from API 50CH acid
30619	37684 ChEBI	mannose	+	carbon source
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
30619	506227 ChEBI	N-acetylglucosamine	+	carbon source
68371	59640 ChEBI	N-acetylglucosamine	-	builds acid from	from API 50CH acid
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
30619	27082 ChEBI	trehalose	+	carbon source
68371	27082 ChEBI	trehalose	+	builds acid from	from API 50CH acid
68371	32528 ChEBI	turanose	-	builds acid from	from API 50CH acid
68371	17151 ChEBI	xylitol	-	builds acid from	from API 50CH acid

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
21073	-	-	-	-	-	-	-	-	-	-	-	+	+	+	-	-	-	-	-	-	-	-	-	-	-	+	-	+	-	-	-	-	+	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Microbial community	-
#Host Body-Site	#Plant	#Fruit (Seed)

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent	Sampling date
21073	spontaneous cocoa bean fermentations	Ilheus, Bahia	Brazil	BRA	Middle and South America
62635	Cocoa		Brazil	BRA	Middle and South America	2006-11-01

Taxonmaps

69479

Global distribution of 16S sequence HE576795 (>99% sequence identity) for Weissella from Microbeatlas

Aquatic Samples	291
Soil Samples	139
Animal Samples	1457
Plant Samples	299
Total Samples	2186

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
21073	1	Risk group (German classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM1239650v1 assembly for Periweissella fabalis CCUG 61472	contig	GCA_012396505	1070421.3	2995986944	1070421	71.85
66792	ASM2365734v1 assembly for Periweissella fabalis LMG 26217	contig	GCA_023657345	1070421.7	8118488979	1070421	70.45

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
21073	Weissella fabalis partial 16S rRNA gene, type strain LMG 26217T	HE576795	1533		1070421

GC content

30619

GC-content (mol%)37

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Periweissella fabalis CCUG 61472
NCBI: GCA_012396505

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	97.20	no
125439	gram_stain	BacteriaNetⓘ	positive	75.10	no
125439	motility	BacteriaNetⓘ	no	50.90	no
125439	spore_formation	BacteriaNetⓘ	no	58.20	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Weissella fabalis strain CCUG 61472
PATRIC: 1070421.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	89.72	yes
125438	anaerobic	anaerobicⓘ	no	83.29	yes
125438	spore-forming	spore-formingⓘ	no	85.40	no
125438	aerobic	aerobicⓘ	no	94.07	no
125438	thermophilic	thermophileⓘ	no	96.70	yes
125438	flagellated	motile2+ⓘ	yes	50.47	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Exploring Protein Functions of Gut Bacteriome and Mycobiome in Thai Infants Associated with Atopic Dermatitis Through Metaproteomic and Host Interaction Analysis.	Chantanaskul T, Patumcharoenpol P, Roytrakul S, Kingkaw A, Vongsangnak W.	Int J Mol Sci	10.3390/ijms252413533	2024
	Phylogenomic and comparative genomic analyses of Leuconostocaceae species: identification of molecular signatures specific for the genera Leuconostoc, Fructobacillus and Oenococcus and proposal for a novel genus Periweissella gen. nov.	Bello S, Rudra B, Gupta RS.	Int J Syst Evol Microbiol	10.1099/ijsem.0.005284	2022
Genetics	Probiotic Potential and Safety Assessment of Type Strains of Weissella and Periweissella Species.	Fanelli F, Montemurro M, Verni M, Garbetta A, Bavaro AR, Chieffi D, Cho GS, Franz CMAP, Rizzello CG, Fusco V.	Microbiol Spectr	10.1128/spectrum.03047-22	2023
Phylogeny	Characterization of strains of Weissella fabalis sp. nov. and Fructobacillus tropaeoli from spontaneous cocoa bean fermentations.	Snauwaert I, Papalexandratou Z, De Vuyst L, Vandamme P	Int J Syst Evol Microbiol	10.1099/ijs.0.040311-0	2012

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 )
#21073	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 28407
#26950	IJSEM 1709 2013 ( DOI 10.1099/ijs.0.040311-0 , PubMed 22922535 )
#30619	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 #26950
#62635	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 61472
#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) .
#68371	Automatically annotated from API 50CH acid .
#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 .
#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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Periweissella fabalis (DSM 28407, CCUG 61472, LMG 26217)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Pigmentation

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Halophily

Metabolite utilization

API 50CHac

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_012396505

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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