Lentilactobacillus parafarraginis (DSM 18390, JCM 14109, NRIC 0677)

Name: Lentilactobacillus parafarraginis (DSM 18390, JCM 14109, NRIC 0677)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 6644

Type strain

Culture col. no. DSM 18390 JCM 14109 NRIC 0677 CIP 109568

NCBI tax ID(s) 390842

Special Collections DSMZ JCM Literature strains CIP

History DSMZ <- Akihito Endo, NRIC 0677 JCM <-- A. Endo NRIC 0677. CIP <- 2007, JCM <- 2006, NRIC

Links

Lentilactobacillus parafarraginis DSM 18390 is a microaerophile, Gram-positive, rod-shaped bacterium that was isolated from composting material of distilled shochun residue.

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

Name and taxonomic classification

SI-ID 302674

DSM 18390,JCM 14109,LMG 24141,CIP 109568

@ref 20215

Last LPSN update 2026-05-29 08:26:27

Domain Bacteria

Phylum Bacillota

Class Bacilli

Order Lactobacillales

Family Lactobacillaceae

Genus Lentilactobacillus

Species Lentilactobacillus parafarraginis

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

Synonyms (1)

Lactobacillus parafarraginis

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
31901	positive	02-04 µm	0.8 µm	rod-shaped
121553	positive			rod-shaped
125438	positive				93.257

Pigmentation

31901

Productionyes

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
7519	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
36080	MEDIUM 40- for Lactobacillus and Leuconostoc		Distilled water make up to (1000.000 ml);Man Rogosa Sharp agar (68.000 g)
121553	CIP Medium 40	Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)
7519	positive	growth	30
31901	positive	growth	20-37
31901	positive	optimum	28.5
36080	positive	growth	37
67770	positive	growth	30
121553	positive	growth	22-37
121553	negative	growth	10
121553	negative	growth	15
121553	negative	growth	45

Culture pH

@ref	Ability	Type	PH	PH range
31901	positive	optimum	6.25
31901	positive	growth	4-8.5	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
7519	microaerophile
31901	facultative anaerobe
121553	facultative anaerobe
125439	facultative anaerobe	92.456

Spore formation

@ref	Spore formation	Confidence
125439		94.999

Halophily

@ref	Salt	Growth	Tested relation	Concentration
31901	NaCl	positive	optimum	5 %

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	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	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
121553	17632 ChEBI	nitrate	-	reduction
121553	17632 ChEBI	nitrate	+	respiration
121553	16301 ChEBI	nitrite	-	reduction
68371	0 ChEBI	Potassium 2-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
31901	18222 ChEBI	xylose	+	carbon source

Metabolite tests

@ref	Chebi-ID	Metabolite	Voges-proskauer-test
121553	15688 ChEBI	acetoin	-

Enzymes

@ref	Value	Activity	Ec
68382	acid phosphatase	+	3.1.3.2	from API zym
121553	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
121553	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
121553	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
121553	ornithine decarboxylase	-	4.1.1.17
121553	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
121553	-	-	-	-	-	-	-	-	-	-	+	+	+	+	+	+	+	-	-	-

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
7519	-	-	-	-	+	+	+	-	-	-	+	+	+	+	-	-	-	-	+	-	-	-	-	-	-	-	-	-	+	-	+	+	-	-	+	+	-	-	-	-	-	-	-	-	-	+	-	+	-	+
121553	not determinedn.d.	-	-	-	+	+	+	-	-	-	+	+	+	+/-	-	-	-	-	+/-	-	-	-	-	-	-	-	-	-	+	+/-	+	+	-	-	+	+	-	-	-	-	-	-	-	-	-	+	-	+	-	-

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
7519	composting material of distilled shochun residue	Miyazaki prefecture	Japan	JPN	Asia
67770	Compost of distilled shochu residue
121553	Environment, Compost of distilled shochu residue		Japan	JPN	Asia

Taxonmaps

69479

Global distribution of 16S sequence LC096238 (>99% sequence identity) for Lentilactobacillus parafarraginis from Microbeatlas

Aquatic Samples	226
Soil Samples	201
Animal Samples	1720
Plant Samples	245
Total Samples	2392

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
7519	1	Risk group (German classification) According to TRBA 466
121553	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	ASM143589v1 assembly for Lentilactobacillus parafarraginis DSM 18390 = JCM 14109	scaffold	GCA_001435895	1423786.4	2700989151	1423786	28.04
67770	ASM131135v1 assembly for Lentilactobacillus parafarraginis DSM 18390 = JCM 14109	contig	GCA_001311355	1423786.3	2728369682	1423786	13.28

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
7519	Lactobacillus parafarraginis gene for 16S rRNA, partial sequence, strain: NRIC 0677	AB262734	1556		390842
67770	Lactobacillus parafarraginis gene for 16S ribosomal RNA, partial sequence, strain: JCM 14109	LC096238	1510		390842

GC content

@ref	GC-content (mol%)	Method
7519	40
67770	45.2	genome sequence analysis
67770	40	high performance liquid chromatography (HPLC)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM143589v1 assembly for Lentilactobacillus parafarraginis DSM 18390 = JCM 14109
BV-BRC: 1423786.4

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	92.46	no
125439	gram_stain	BacteriaNetⓘ	positive	47.65	no
125439	motility	BacteriaNetⓘ	no	71.15	no
125439	spore_formation	BacteriaNetⓘ	no	95.00	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Lactobacillus parafarraginis DSM 18390 = JCM 14109
PATRIC: 1423786.4

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	93.26	yes
125438	anaerobic	anaerobicⓘ	no	81.69	no
125438	spore-forming	spore-formingⓘ	no	78.19	no
125438	aerobic	aerobicⓘ	no	92.32	yes
125438	thermophilic	thermophileⓘ	no	96.38	no
125438	flagellated	motile2+ⓘ	no	89.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Detailed insights into the oligo- and polymeric products formed by three recombinant dextransucrases.	Muller O, Wefers D.	Carbohydr Res	10.1016/j.carres.2025.109559	2025
	Evaluation of antimicrobial efficacy against spoilage microorganisms and impact on beverage color and turbidity of commercial preservatives derived from edible mushrooms.	Galasong Y, Charles-Vegdahl A, Worobo RW.	Int J Food Microbiol	10.1016/j.ijfoodmicro.2025.111130	2025
	Revealing antimicrobial resistance profile of the novel probiotic candidate Faecalibacterium prausnitzii DSM 17677.	Machado D, Barbosa JC, Domingos M, Almeida D, Andrade JC, Freitas AC, Gomes AM.	Int J Food Microbiol	10.1016/j.ijfoodmicro.2021.109501	2022
Pathogenicity	Genome Sequencing of the Antibiotic-Resistant Leucobacter sp. HNU-1 and Its Developmental Toxicity in Caenorhabditis elegans.	Ju J, Lu X, Gao Z, Yin H, Xu S, Li H.	Int J Mol Sci	10.3390/ijms26083673	2025
Metabolism	Inulin-type fructan degradation capacity of Clostridium cluster IV and XIVa butyrate-producing colon bacteria and their associated metabolic outcomes.	Moens F, De Vuyst L.	Benef Microbes	10.3920/bm2016.0142	2017
	Safety evaluation of Butyricicoccus faecihominis DSM 34943.	Pitt J, Bauter MR, Kumar R, Hasselwander O, Hibberd AA, Kane H, Wang Q, Auzanneau I, Bry S, David E, Seguinot P, Burns F, Smith AB, Carnovale M.	Toxicol Rep	10.1016/j.toxrep.2025.102145	2025
Metabolism	Bifidobacterial inulin-type fructan degradation capacity determines cross-feeding interactions between bifidobacteria and Faecalibacterium prausnitzii.	Moens F, Weckx S, De Vuyst L.	Int J Food Microbiol	10.1016/j.ijfoodmicro.2016.05.015	2016
	MicroRNA-based host response to toxicant exposure is influenced by the presence of gut microbial populations.	Williams MR, Stedtfeld RD, Stedtfeld TM, Crawford RB, Kuwahara T, Kaminski NE, Tiedje JM, Hashsham SA.	Sci Total Environ	10.1016/j.scitotenv.2021.149130	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
	Adhesion and Anti-Adhesion Abilities of Potentially Probiotic Lactic Acid Bacteria and Biofilm Eradication of Honeybee (Apis mellifera L.) Pathogens.	Leska A, Nowak A, Czarnecka-Chrebelska KH.	Molecules	10.3390/molecules27248945	2022
	Lactococcus lactis KA-FF 1-4 reduces vancomycin-resistant enterococci and impacts the human gut microbiome.	Plupjeen SN, Chawjiraphan W, Charoensiddhi S, Nitisinprasert S, Nakphaichit M.	3 Biotech	10.1007/s13205-020-02282-6	2020
	A Healthy Vaginal Microbiota Remains Stable during Oral Probiotic Supplementation: A Randomised Controlled Trial.	Lyra A, Ala-Jaakkola R, Yeung N, Datta N, Evans K, Hibberd A, Lehtinen MJ, Forssten SD, Ibarra A, Pesonen T, Junnila J, Ouwehand AC, Baranowski K, Maukonen J, Crawford G, Lehtoranta L.	Microorganisms	10.3390/microorganisms11020499	2023
	Sialidases and fucosidases of Akkermansia muciniphila are crucial for growth on mucin and nutrient sharing with mucus-associated gut bacteria.	Shuoker B, Pichler MJ, Jin C, Sakanaka H, Wu H, Gascuena AM, Liu J, Nielsen TS, Holgersson J, Nordberg Karlsson E, Juge N, Meier S, Morth JP, Karlsson NG, Abou Hachem M.	Nat Commun	10.1038/s41467-023-37533-6	2023
Metabolism	Exopolysaccharides Produced by Lactobacillus rhamnosus KL 53A and Lactobacillus casei Fyos Affect Their Adhesion to Enterocytes.	Konieczna C, Slodzinski M, Schmidt MT.	Pol J Microbiol	10.21307/pjm-2018-032	2018
	In vitro Study of Lactobacillus paracasei CNCM I-1518 in Healthy and Clostridioides difficile Colonized Elderly Gut Microbiota.	Fehlbaum S, Chassard C, Schwab C, Voolaid M, Fourmestraux C, Derrien M, Lacroix C.	Front Nutr	10.3389/fnut.2019.00184	2019
	In vitro fermentation of copra meal hydrolysate by chicken microbiota.	Prayoonthien P, Nitisinprasert S, Keawsompong S.	3 Biotech	10.1007/s13205-017-1058-1	2018
Metabolism	Phylotype-Level Profiling of Lactobacilli in Highly Complex Environments by Means of an Internal Transcribed Spacer-Based Metagenomic Approach.	Milani C, Duranti S, Mangifesta M, Lugli GA, Turroni F, Mancabelli L, Viappiani A, Anzalone R, Alessandri G, Ossiprandi MC, van Sinderen D, Ventura M.	Appl Environ Microbiol	10.1128/aem.00706-18	2018
Pathogenicity	Modulatory Influence of Segmented Filamentous Bacteria on Transcriptomic Response of Gnotobiotic Mice Exposed to TCDD.	Stedtfeld RD, Chai B, Crawford RB, Stedtfeld TM, Williams MR, Xiangwen S, Kuwahara T, Cole JR, Kaminski NE, Tiedje JM, Hashsham SA.	Front Microbiol	10.3389/fmicb.2017.01708	2017
	Assessing the fecal microbiota: an optimized ion torrent 16S rRNA gene-based analysis protocol.	Milani C, Hevia A, Foroni E, Duranti S, Turroni F, Lugli GA, Sanchez B, Martin R, Gueimonde M, van Sinderen D, Margolles A, Ventura M.	PLoS One	10.1371/journal.pone.0068739	2013
Metabolism	Host lysozyme-mediated lysis of Lactococcus lactis facilitates delivery of colitis-attenuating superoxide dismutase to inflamed colons.	Ballal SA, Veiga P, Fenn K, Michaud M, Kim JH, Gallini CA, Glickman JN, Quere G, Garault P, Beal C, Derrien M, Courtin P, Kulakauskas S, Chapot-Chartier MP, van Hylckama Vlieg J, Garrett WS.	Proc Natl Acad Sci U S A	10.1073/pnas.1501897112	2015
Genetics	Enhanced acid reduction in lactic acid bacteria: Breeding through irradiation-induced mutation and functional assessment.	Weiting S, Chen W, Xiao L, Yanqiu H.	Int J Food Microbiol	10.1016/j.ijfoodmicro.2025.111161	2025
	New insights of bacterial communities in fermented vegetables from shotgun metagenomics and identification of antibiotic resistance genes and probiotic bacteria	Yasir M, Al-Zahrani IA, Bibi F, Abd El Ghany M, Azhar EI.	Food Research International.		2024
	Unraveling the mystery of microecology behind the fermented Chinese sauerkraut (jiangshui): flavor profile, community structure, and functional taxa.	Zhao S, Hao C, Huang L, Gao Y, Wang L, Lu J, Shi Y.	Food Chem X	10.1016/j.fochx.2025.102976	2025
Genetics	Metagenomic and physicochemical profiling reveal microbial functions in pit mud for Jiang-Nong Jianxiang Baijiu fermentation.	Cao L, Sun H, Xu Z, Xu X, Shi G, Zhang J, Liang C, Li T, Liu C, Wang M, Tian S, Li E.	BMC Microbiol	10.1186/s12866-025-03884-x	2025
	Exploring microbial communities of Spanish-style green table olives of Conservolea and Halkidiki cultivars during modified atmosphere packaging in multi-layered pouches through culture-dependent techniques and metataxonomic analysis	Tzamourani AP, Kasimati A, Karagianni E, Manthou E, Panagou EZ.	Food Microbiol		2022
	Prevention of microbes-induced spoilage in sodium chloride-free cucumber fermentations employing preservatives.	Perez-Diaz IM, Medina E, Page CA, Johanningsmeier SD, Daughtry KV, Moeller L.	J Food Sci	10.1111/1750-3841.16345	2022
	Exploring microbial communities of Spanish-style green table olives of Conservolea and Halkidiki cultivars during modified atmosphere packaging in multi-layered pouches through culture-dependent techniques and metataxonomic analysis.	Tzamourani AP, Kasimati A, Karagianni E, Manthou E, Panagou EZ.	Food Microbiol	10.1016/j.fm.2022.104063	2022
Genetics	New insights of bacterial communities in fermented vegetables from shotgun metagenomics and identification of antibiotic resistance genes and probiotic bacteria.	Yasir M, Al-Zahrani IA, Bibi F, Abd El Ghany M, Azhar EI.	Food Res Int	10.1016/j.foodres.2022.111190	2022
	Use of metabarcoding and source tracking to identify desirable or spoilage autochthonous microorganism sources during black olive fermentations.	Penland M, Mounier J, Pawtowski A, Treguer S, Deutsch SM, Coton M.	Food Res Int	10.1016/j.foodres.2021.110344	2021
	Inoculation of Lactobacillus parafarraginis enhances silage quality, microbial community structure, and metabolic profiles in hybrid Pennisetum.	Liu Y, Ling W, Li Y, Zhou Y, Li J, Chen S, Zhou J, Yang F.	BMC Plant Biol	10.1186/s12870-025-06340-0	2025
	Microbial and Biochemical Analyses of High-Quality, Long-Ripened, Blue-Veined Cabrales Cheese.	Rodriguez J, Suarez PR, Das S, Vazquez L, Lama S, Florez AB, Tamang JP, Mayo B.	Foods	10.3390/foods14132366	2025
	Microbiome profiling of Grana Padano and Parmigiano Reggiano cheeses reveals cheese-specific biomarkers, psychobiotic potential, and bioprotective activities.	Valentino V, Magliulo R, Balivo A, Krysmann AM, Calvanese CM, Esposito A, Sequino G, Genovese A, Porcellato D, Ercolini D, De Filippis F.	NPJ Biofilms Microbiomes	10.1038/s41522-025-00815-6	2025
Phylogeny	Microbial and Biochemical Profile of Different Types of Greek Table Olives.	Mougiou N, Tsoureki A, Didos S, Bouzouka I, Michailidou S, Argiriou A.	Foods	10.3390/foods12071527	2023
	Safety and efficacy of Lactobacillus parafarraginis DSM 32962 as a silage additive for all animal species.	EFSA Panel on Additives and Products or Substances used in Animal Feed (FEEDAP), Bampidis V, Azimonti G, Bastos ML, Christensen H, Dusemund B, Kos Durjava M, Kouba M, Lopez-Alonso M, Lopez Puente S, Marcon F, Mayo B, Pechova A, Petkova M, Ramos F, Sanz Y, Villa RE, Woutersen R, Cocconcelli PS, Glandorf B, Prieto Maradona M, Saarela M, Galobart J, Gregoretti L, Innocenti M, Lopez-Galvez G, Pettenati E, Sofianidis K, Vettori MV, Brozzi R.	EFSA J	10.2903/j.efsa.2020.6201	2020
Biotechnology	First characterization of the probiotic potential of lactic acid bacteria isolated from Costa Rican pineapple silages.	Wen Fang Wu Wu J, Redondo-Solano M, Uribe L, WingChing-Jones R, Usaga J, Barboza N.	PeerJ	10.7717/peerj.12437	2021
	Bacterial Community of Grana Padano PDO Cheese and Generical Hard Cheeses: DNA Metabarcoding and DNA Metafingerprinting Analysis to Assess Similarities and Differences.	Zago M, Rossetti L, Bardelli T, Carminati D, Nazzicari N, Giraffa G.	Foods	10.3390/foods10081826	2021
	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
	Acids produced by lactobacilli inhibit the growth of commensal Lachnospiraceae and S24-7 bacteria.	Brownlie EJE, Chaharlangi D, Wong EO, Kim D, Navarre WW.	Gut Microbes	10.1080/19490976.2022.2046452	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
	Philodulcilactobacillus myokoensis gen. nov., sp. nov., a fructophilic, acidophilic, and agar-phobic lactic acid bacterium isolated from fermented vegetable extracts.	Kouya T, Ishiyama Y, Ohashi S, Kumakubo R, Yamazaki T, Otaki T.	PLoS One	10.1371/journal.pone.0286677	2023
Phylogeny	Leucobacter iarius sp. nov., in the family Microbacteriaceae.	Somvanshi VS, Lang E, Schumann P, Pukall R, Kroppenstedt RM, Ganguly S, Stackebrandt E.	Int J Syst Evol Microbiol	10.1099/ijs.0.64683-0	2007
Phylogeny	Lactobacillus curieae sp. nov., isolated from stinky tofu brine.	Lei X, Sun G, Xie J, Wei D	Int J Syst Evol Microbiol	10.1099/ijs.0.041830-0	2012
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

#7519	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 18390
#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
#36080	; 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 .
#121553	Collection of Institut Pasteur ; Curators of the CIP; CIP 109568
#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 parafarraginis (DSM 18390, JCM 14109, NRIC 0677)

Name and taxonomic classification

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