Lentilactobacillus farraginis (DSM 18382, JCM 14108, NRIC 0676)

Name: Lentilactobacillus farraginis (DSM 18382, JCM 14108, NRIC 0676)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 6643

Type strain

Culture col. no. DSM 18382 JCM 14108 NRIC 0676 CIP 109567

NCBI tax ID(s) 390841

Special Collections DSMZ JCM Literature strains CIP

History <- Akihito Endo, NRIC 0676 A. Endo NRIC 0676. CIP <- 2007, JCM <- 2006, NRIC

Links

Lentilactobacillus farraginis DSM 18382 is a microaerophile, Gram-positive, rod-shaped bacterium that was isolated from composting material of distilled shochu residue.

Gram-positive rod-shaped microaerophile genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 302641

DSM 18382,JCM 14108,LMG 24140,CIP 109567

@ref 20215

Last LPSN update 2026-02-09 11:19:16

Domain Bacteria

Phylum Bacillota

Class Bacilli

Order Lactobacillales

Family Lactobacillaceae

Genus Lentilactobacillus

Species Lentilactobacillus farraginis

Full scientific name Lentilactobacillus farraginis (Endo and Okada 2007) Zheng et al. 2020

Synonyms (1)

Lactobacillus farraginis

BacDive ID	Other strains from **Lentilactobacillus farraginis** (42)	Type strain
165828	L. farraginis JCM 8582
165829	L. farraginis JCM 8583
165830	L. farraginis JCM 8584
165831	L. farraginis JCM 8585
165832	L. farraginis JCM 8586
165834	L. farraginis JCM 8588
165835	L. farraginis JCM 8589
165836	L. farraginis JCM 8590
165844	L. farraginis JCM 8598
165845	L. farraginis JCM 8599
165846	L. farraginis JCM 8600
165849	L. farraginis JCM 8604
165850	L. farraginis JCM 8605
165857	L. farraginis JCM 8613
165858	L. farraginis JCM 8614
165861	L. farraginis JCM 8617
165862	L. farraginis JCM 8618
165863	L. farraginis JCM 8619
165867	L. farraginis JCM 8623
165868	L. farraginis JCM 8624
165869	L. farraginis JCM 8625
165870	L. farraginis JCM 8626
165871	L. farraginis JCM 8627
165872	L. farraginis JCM 8628
165873	L. farraginis JCM 8629
165874	L. farraginis JCM 8630
165875	L. farraginis JCM 8631
165876	L. farraginis JCM 8632
165878	L. farraginis JCM 8634
165879	L. farraginis JCM 8635
165880	L. farraginis JCM 8636
165882	L. farraginis JCM 8638
165883	L. farraginis JCM 8639
165884	L. farraginis JCM 8640
165885	L. farraginis JCM 8641
165886	L. farraginis JCM 8642
165887	L. farraginis JCM 8643
165889	L. farraginis JCM 8645
165895	L. farraginis JCM 8651
165898	L. farraginis JCM 8654
165899	L. farraginis JCM 8656
165900	L. farraginis JCM 8657

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
31901	positive	03-06 µm	0.8 µm	rod-shaped
119287	positive			rod-shaped
125438					90.5
125438	positive				92.934

Pigmentation

31901

Productionyes

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
7364	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
36536	MEDIUM 40- for Lactobacillus and Leuconostoc		Distilled water make up to (1000.000 ml);Man Rogosa Sharp agar (68.000 g)
119287	CIP Medium 40	Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)
7364	positive	growth	30
31901	positive	growth	15-45
31901	positive	optimum	30
36536	positive	growth	37
67770	positive	growth	30
119287	positive	growth	15-45
119287	negative	growth	10

Culture pH

@ref	Ability	Type	PH	PH range
31901	positive	optimum	6.5
31901	positive	growth	04-09	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
7364	microaerophile
31901	facultative anaerobe
119287	facultative anaerobe
125439	obligate aerobe	98

Observation

31901

Observationaggregates in chains

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68371	27613 ChEBI	amygdalin	-	builds acid from	from API 50CH acid
31901	22599 ChEBI	arabinose	+	carbon source
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
31901	28260 ChEBI	galactose	+	carbon source
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
31901	28053 ChEBI	melibiose	+	carbon source
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
119287	17632 ChEBI	nitrate	+	reduction
119287	17632 ChEBI	nitrate	+	respiration
119287	16301 ChEBI	nitrite	-	reduction
68371		Potassium 2-ketogluconate	-	builds acid from	from API 50CH acid
68371		Potassium 5-ketogluconate	-	builds acid from	from API 50CH acid
31901	16634 ChEBI	raffinose	+	carbon source
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
31901	17992 ChEBI	sucrose	+	carbon source
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

Metabolite tests

@ref	Chebi-ID	Metabolite	Voges-proskauer-test
119287	15688 ChEBI	acetoin	-

Enzymes

@ref	Value	Activity	Ec
68382	acid phosphatase	+	3.1.3.2	from API zym
119287	alcohol dehydrogenase	+	1.1.1.1
68382	alkaline phosphatase	+	3.1.3.1	from API zym
68382	alpha-chymotrypsin	-	3.4.21.1	from API zym
68382	alpha-fucosidase	-	3.2.1.51	from API zym
68382	alpha-galactosidase	+	3.2.1.22	from API zym
68382	alpha-glucosidase	+	3.2.1.20	from API zym
68382	alpha-mannosidase	-	3.2.1.24	from API zym
68382	beta-galactosidase	+	3.2.1.23	from API zym
68382	beta-glucosidase	+	3.2.1.21	from API zym
68382	beta-glucuronidase	-	3.2.1.31	from API zym
119287	catalase	-	1.11.1.6
68382	cystine arylamidase	+	3.4.11.3	from API zym
68382	esterase (C 4)	+		from API zym
68382	esterase lipase (C 8)	+		from API zym
68382	leucine arylamidase	+	3.4.11.1	from API zym
68382	lipase (C 14)	-		from API zym
119287	lysine decarboxylase	-	4.1.1.18
68382	N-acetyl-beta-glucosaminidase	-	3.2.1.52	from API zym
68382	naphthol-AS-BI-phosphohydrolase	+		from API zym
119287	ornithine decarboxylase	-	4.1.1.17
119287	oxidase	-
68382	trypsin	-	3.4.21.4	from API zym
68382	valine arylamidase	-		from API zym

API zym

@ref	Control	Alkaline phosphatase	Esterase (C 4)	2-naphtyl caprylateEsterase Lipase (C 8)	Lipase (C 14)	L-leucyl-2-naphthylamideLeucine arylamidase	L-valyl-2-naphthylamideValine arylamidase	L-cystyl-2-naphthylamideCystine arylamidase	Trypsin	alpha- Chymotrypsin	Acid phosphatase	Naphthol-AS-BI-phosphateNaphthol-AS-BI-phosphohydrolase	alpha- Galactosidase	beta- Galactosidase	beta- Glucuronidase	alpha- Glucosidase	beta- Glucosidase	N-acetyl-beta- glucosaminidase	alpha- Mannosidase	alpha- Fucosidase
119287	-	+	+	+	-	+	-	+	-	-	+	+	+	+	-	+	+	-	-	-

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
7364	-	-	-	-	+	+	-	-	-	-	+	+	+	-	-	-	-	-	+	-	-	-	-	-	-	-	-	-	+	+	+	+	-	-	+	+	-	-	-	-	-	-	-	-	-	-	-	+	-	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Biodegradation	#Composting
#Engineered	#Food production	#Fermented
#Engineered	#Food production	#Beverage

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
7364	composting material of distilled shochu residue	Miyazaki prefecture	Japan	JPN	Asia
67770	Compost of distilled shochu residue
119287	Environment, Compost of distilled shochu residue		Japan	JPN	Asia

Taxonmaps

69479

Global distribution of 16S sequence LC383828 (>99% sequence identity) for Lentilactobacillus farraginis from Microbeatlas

Aquatic Samples	1092
Soil Samples	1305
Animal Samples	14859
Plant Samples	797
Total Samples	18053

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
7364	1	Risk group (German classification) According to TRBA 466
119287	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	ASM143587v1 assembly for Lentilactobacillus farraginis DSM 18382 = JCM 14108	scaffold	GCA_001435875	1423743.5	2681813158	1423743	46.01
67770	ASM58365v1 assembly for Lentilactobacillus farraginis DSM 18382 = JCM 14108	contig	GCA_000583655	1236511.3	2576861775	1423743	36.77

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
7364	Lactobacillus farraginis gene for 16S rRNA, partial sequence, strain: NRIC 0676	AB262731	1514		390841
67770	Lactobacillus farraginis JCM 14108 gene for 16S ribosomal RNA, partial sequence	LC383828	1512		390841

GC content

@ref	GC-content (mol%)	Method
7364	40
31901	41
67770	41	high performance liquid chromatography (HPLC)
67770	42.1	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Lentilactobacillus farraginis DSM 18382 = JCM 14108
NCBI: GCA_001435875

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.00	no
125439	gram_stain	BacteriaNetⓘ	positive	74.70	no
125439	motility	BacteriaNetⓘ	no	63.10	no
125439	spore_formation	BacteriaNetⓘ	no	86.10	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Lactobacillus farraginis DSM 18382 = JCM 14108
PATRIC: 1423743.5

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	92.93	yes
125438	anaerobic	anaerobicⓘ	no	84.29	yes
125438	spore-forming	spore-formingⓘ	no	78.80	no
125438	aerobic	aerobicⓘ	no	90.12	yes
125438	thermophilic	thermophileⓘ	no	96.00	yes
125438	flagellated	motile2+ⓘ	no	90.50	yes

Literature

Topic	Title	Authors	Journal	DOI	Year
	Tenebrio molitor: possible source of polystyrene-degrading bacteria.	Machona O, Chidzwondo F, Mangoyi R.	BMC Biotechnol	10.1186/s12896-021-00733-3	2022
Phylogeny	Establishment of an analytical system for the human fecal microbiota, based on reverse transcription-quantitative PCR targeting of multicopy rRNA molecules.	Matsuda K, Tsuji H, Asahara T, Matsumoto K, Takada T, Nomoto K.	Appl Environ Microbiol	10.1128/aem.01843-08	2009
	Lentilactobacillus farraginis FSI (3): a whole cell biocatalyst for the synthesis of kojic acid derivative under aquatic condition	Chaudhari MA, Wankhede PR, Dalal KS, Kale AD, Dalal DS, Chaudhari BL.	Biotechnol Lett.		2024
Phylogeny	Lentilactobacillus farraginis FSI (3): a whole cell biocatalyst for the synthesis of kojic acid derivative under aquatic condition.	Chaudhari MA, Wankhede PR, Dalal KS, Kale AD, Dalal DS, Chaudhari BL.	Biotechnol Lett	10.1007/s10529-024-03514-y	2024
	Detoxification of Acrylamide by Potentially Probiotic Strains of Lactic Acid Bacteria and Yeast.	Maher A, Miskiewicz K, Rosicka-Kaczmarek J, Nowak A.	Molecules	10.3390/molecules29204922	2024
Genetics	Metagenomic Insights into the Taxonomic and Functional Features of Traditional Fermented Milk Products from Russia.	Elcheninov AG, Zayulina KS, Klyukina AA, Kremneva MK, Kublanov IV, Kochetkova TV.	Microorganisms	10.3390/microorganisms12010016	2023
	Metagenomic Study on Chinese Homemade Paocai: The Effects of Raw Materials and Fermentation Periods on the Microbial Ecology and Volatile Components.	Jiang L, Xian S, Liu X, Shen G, Zhang Z, Hou X, Chen A.	Foods	10.3390/foods11010062	2021
	Antagonistic Activity of Potentially Probiotic Lactic Acid Bacteria against Honeybee (Apis mellifera L.) Pathogens.	Leska A, Nowak A, Szulc J, Motyl I, Czarnecka-Chrebelska KH.	Pathogens	10.3390/pathogens11111367	2022
Metabolism	Co-Occurrence of Regulated and Emerging Mycotoxins in Corn Silage: Relationships with Fermentation Quality and Bacterial Communities.	Gallo A, Ghilardelli F, Atzori AS, Zara S, Novak B, Faas J, Fancello F.	Toxins (Basel)	10.3390/toxins13030232	2021
Genetics	A Combined Metagenomics and Metatranscriptomics Approach to Unravel Costa Rican Cocoa Box Fermentation Processes Reveals Yet Unreported Microbial Species and Functionalities.	Verce M, Schoonejans J, Hernandez Aguirre C, Molina-Bravo R, De Vuyst L, Weckx S.	Front Microbiol	10.3389/fmicb.2021.641185	2021
Genetics	Draft Genome Sequences of Two Lactobacillus Strains, L. farraginis JCM 14108T and L. composti JCM 14202T, Isolated from Compost of Distilled Shochu Residue.	Yuki M, Oshima K, Suda W, Kitahara M, Kitamura K, Iida T, Hattori M, Ohkuma M	Genome Announc	10.1128/genomeA.00257-14	2014
Phylogeny	Lactobacillus farraginis sp. nov. and Lactobacillus parafarraginis sp. nov., heterofermentative lactobacilli isolated from a compost of distilled shochu residue.	Endo A, Okada S	Int J Syst Evol Microbiol	10.1099/ijs.0.64618-0	2007

References

#7364	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 18382
#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 )
#28159	IJSEM 708 2007 ( DOI 10.1099/ijs.0.64618-0 , PubMed 17392191 )
#31901	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 #28159
#36536	; Curators of the CIP;
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#68371	Automatically annotated from API 50CH acid .
#68382	Automatically annotated from API zym .
#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 .
#119287	Collection of Institut Pasteur ; Curators of the CIP; CIP 109567
#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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Lentilactobacillus farraginis (DSM 18382, JCM 14108, NRIC 0676)

Name and taxonomic classification

Morphology

Cell morphology

Pigmentation

Culture and growth conditions

Culture medium

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Observation

Metabolite utilization

Metabolite tests

Enzymes

API zym

API 50CHac

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_001435875

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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