Secundilactobacillus malefermentans (CCUG 32206, LMG 11455, CIP 103367)

Name: Secundilactobacillus malefermentans (CCUG 32206, LMG 11455, CIP 103367)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 6537

Type strain

Strain Designation D2 Mfl

Culture col. no. CCUG 32206 LMG 11455 CIP 103367 DSM 5705 ATCC 49373 9 more

NCBI tax ID(s) 176292

Special Collections DSMZ CCUG JCM KCTC CIP

Links

Secundilactobacillus malefermentans D2 Mfl is a mesophilic prokaryote that was isolated from beer.

mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 3323

LMG 11455,ATCC 49373,CIP 103367,NCFB 1410,NCDO 1410,CCUG 32206,DSM 5705,NCIMB 701410,IFO 15905,CECT 5928,KCTC 3548,NBRC 15905,JCM 12497

@ref 20215

Last LPSN update 2025-12-16 09:48:21

Domain Bacillati

Phylum Bacillota

Class Bacilli

Order Lactobacillales

Family Lactobacillaceae

Genus Secundilactobacillus

Species Secundilactobacillus malefermentans

Full scientific name Secundilactobacillus malefermentans (Farrow et al. 1989 ex Russell and Walker 1953) Zheng et al. 2020

Synonyms (1)

Lactobacillus malefermentans

BacDive ID	Other strains from **Secundilactobacillus malefermentans** (2)	Type strain
6538	S. malefermentans DSM 20177, ATCC 11305, NCDO 2344, NCIB 8516, ...
6539	S. malefermentans DSM 20570, ATCC 11306, NCIB 8517

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	positive	93.608

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
2298	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
39685	MEDIUM 40- for Lactobacillus and Leuconostoc		Distilled water make up to (1000.000 ml);Man Rogosa Sharp agar (68.000 g)
120755	CIP Medium 40	Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
2298	positive	growth	28	mesophilic
39685	positive	growth	30	mesophilic
50897	positive	growth	22	psychrophilic
67770	positive	growth	30	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	99

Spore formation

@ref	Spore formation	Confidence
125438		91.103

Murein

@ref	Murein short key	Type
2298	A11.31	A4alpha L-Lys-D-Asp

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
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
68371	4853 ChEBI	esculin	-	builds acid from	from API 50CH acid
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
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
68371	17306 ChEBI	maltose	+	builds acid from	from API 50CH acid
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
68371	59640 ChEBI	N-acetylglucosamine	-	builds acid from	from API 50CH acid
68371		Potassium 2-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
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
2298	-	-	-	-	-	+	-	-	-	-	-	+	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	+	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	+	-	not determinedn.d.

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Food production	#Beverage
#Engineered	#Food production	#Fermented
#Host	#Plants	#Herbaceous plants (Grass,Crops)
#Host Body-Site	#Plant	#Fruit (Seed)

Isolation

@ref	Sample type
2298	beer
50897	Beer
67770	Beer
120755	Other, Beer

Taxonmaps

69479

Global distribution of 16S sequence LC383829 (>99% sequence identity) for Secundilactobacillus malefermentans from Microbeatlas

Aquatic Samples	275
Soil Samples	331
Animal Samples	1580
Plant Samples	84
Total Samples	2270

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
2298	1	Risk group (German classification) According to TRBA 466
120755	1	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
67770	ASM435473v1 assembly for Secundilactobacillus malefermentans ATCC 49373	scaffold	GCA_004354735	176292.3		176292	56.66
67770	ASM143639v1 assembly for Secundilactobacillus malefermentans DSM 5705 = KCTC 3548	contig	GCA_001436395	1122149.3	2667527909	1122149	49.02
67770	ASM26077v1 assembly for Secundilactobacillus malefermentans DSM 5705 = KCTC 3548	contig	GCA_000260775	1046594.4	2513237370	1122149	45.01

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
20218	Lactobacillus malefermentans 16S rRNA gene, strain CECT 5928T	AJ575743	1525	176292
20218	Lactobacillus malefermentans partial 16S rRNA gene, strain type strain:DSM 5705	AM113783	1556	176292
20218	Lactobacillus malefermentans gene for 16S rRNA, partial sequence, strain: JCM 12497	AB289194	648	176292
20218	Lactobacillus malefermentans strain LMG 11455 16S-23S ribosomal RNA intergenic spacer and 23S ribosomal RNA gene, partial sequence	EU161596	841	176292
20218	Lactobacillus malefermentans gene for 16S rRNA, partial sequence, strain: NBRC 15905	AB680994	1491	176292
67770	Lactobacillus malefermentans JCM 12497 gene for 16S ribosomal RNA, partial sequence	LC383829	1504	176292

GC content

@ref	GC-content (mol%)	Method
2298	42.0
67770	42	thermal denaturation, midpoint method (Tm)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Secundilactobacillus malefermentans ATCC 49373
NCBI: GCA_004354735

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	99.00	no
125439	gram_stain	BacteriaNetⓘ	variable	81.10	no
125439	motility	BacteriaNetⓘ	yes	81.30	no
125439	spore_formation	BacteriaNetⓘ	yes	88.50	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Lactobacillus malefermentans DSM 5705 = KCTC 3548
PATRIC: 1122149.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	93.61	no
125438	anaerobic	anaerobicⓘ	no	81.57	no
125438	spore-forming	spore-formingⓘ	no	91.10	no
125438	aerobic	aerobicⓘ	no	92.05	no
125438	thermophilic	thermophileⓘ	no	95.50	yes
125438	flagellated	motile2+ⓘ	no	89.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Hydrolysis of oligosaccharides in the gastrointestinal tract alters their prebiotic effects on probiotic strains.	Lee WM, Song YB, Han KS, Sim WS, Lee BH.	Food Sci Biotechnol	10.1007/s10068-023-01474-z	2024
Pathogenicity	Lactobacillus helveticus HY7804 Modulates the Gut-Liver Axis to Improve Metabolic Dysfunction-Associated Steatotic Liver Disease in a Mouse Model.	Kim H, Jeon HJ, Jeong JW, Lee K, Gwon H, Lee D, Kim JY, Shim JJ, Lee JH.	Int J Mol Sci	10.3390/ijms26083557	2025
	Inhibition of Differentiation of 3T3-L1 Cells by Increasing Glioma-Associated Oncogene Expression in Chrysanthemum indicum L. Using Lactococcus lactis KCTC 3115.	Cho YJ, Lee JB, Lee Y, Lee MS, Choi J.	Prev Nutr Food Sci	10.3746/pnf.2024.29.4.533	2024
	Fermentation of Cucumber Extract with Hydromagnesite as a Neutralizing Agent to Produce an Ingredient for Dermal Magnesium Products.	Nguyen VK, Tran T, Crimmins T, Luong VT, Kang HY.	Materials (Basel)	10.3390/ma12101701	2019
	Preservative effect of Chinese cabbage (Brassica rapa subsp. pekinensis) extract on their molecular docking, antioxidant and antimicrobial properties.	Rubab M, Chellia R, Saravanakumar K, Mandava S, Khan I, Tango CN, Hussain MS, Daliri EB, Kim SH, Ramakrishnan SR, Wang MH, Lee J, Kwon JH, Chandrashekar S, Oh DH.	PLoS One	10.1371/journal.pone.0203306	2018
Genetics	Draft genome sequence of Lactobacillus malefermentans KCTC 3548.	Kim DW, Choi SH, Kang A, Nam SH, Kim DS, Kim RN, Kim A, Park HS	J Bacteriol	10.1128/JB.05710-11	2011
Phylogeny	Lactobacillus oryzae sp. nov., isolated from fermented rice grain (Oryza sativa L. subsp. japonica).	Tohno M, Kitahara M, Irisawa T, Inoue H, Uegaki R, Ohkuma M, Tajima K	Int J Syst Evol Microbiol	10.1099/ijs.0.048918-0	2013

References

#2298	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 5705
#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 )
#39685	; Curators of the CIP;
#50897	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 32206
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#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 .
#120755	Collection of Institut Pasteur ; Curators of the CIP; CIP 103367
#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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Secundilactobacillus malefermentans (CCUG 32206, LMG 11455, CIP 103367)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Murein

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_004354735

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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