Ligilactobacillus murinus (DSM 100193, M5-8a)

Name: Ligilactobacillus murinus (DSM 100193, M5-8a)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 130962

Type strain

Strain Designation M5-8a

Culture col. no. DSM 100193 M5-8a

NCBI tax ID(s) 1622

Special Collections DSMZ Mouse DZIF

History DSMZ <- T. Clavel, TU Munich, Freising-Weihenstephan, Germany <- M. W. Hornef, RWTH Aachen, Germany; M5-8a

Links

Ligilactobacillus murinus M5-8a is a microaerophile bacterium that was isolated from newborn SPF mouse .

microaerophile genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 404646

DSM 100193

@ref 20215

Last LPSN update 2026-05-29 08:37:30

Domain Bacteria

Phylum Bacillota

Class Bacilli

Order Lactobacillales

Family Lactobacillaceae

Genus Ligilactobacillus

Species Ligilactobacillus murinus

Full scientific name Ligilactobacillus murinus (Hemme et al. 1982) Zheng et al. 2020

Synonyms (1)

Lactobacillus murinus

BacDive ID	Other strains from **Ligilactobacillus murinus** (7)	Type strain
6484	L. murinus 313, DSM 20452, ATCC 35020, CNRZ 220, CCUG ... (type strain)
6485	L. murinus 12, DSM 20453
130363	L. murinus 3B2 BAP1, DSM 26546
130364	L. murinus 3F2 BAP2, 3F2BAP4, DSM 26548
130960	L. murinus BARN-424-CC-5, DSM 28690
130961	L. murinus M-6244-3B, DSM 28683
130963	L. murinus MJJ0609_7, DSM 100194

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	positive	94.095

Colony morphology

22254

Incubation period2-3 days

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
22254	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
22254	LB (Luria-Bertani) MEDIUM (DSMZ Medium 381)		Medium recipe at MediaDive	Name: LB (Luria-Bertani) MEDIUM (DSMZ Medium 381) Composition: Agar 20.0 g/l NaCl 10.0 g/l Tryptone 10.0 g/l Yeast extract 5.0 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
22254	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
22254	microaerophile
125439	facultative anaerobe	93.486

Spore formation

@ref	Spore formation	Confidence
125439		91.442

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Mammals	#Muridae (Mouse/Rat)

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
22254	newborn SPF mouse (6-day-old)	Freiburg	Germany	DEU	Europe

Taxonmaps

69479

Global distribution of 16S sequence KU196090 (>99% sequence identity) for Ligilactobacillus from Microbeatlas

Aquatic Samples	383
Soil Samples	571
Animal Samples	37886
Plant Samples	247
Total Samples	39087

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
22254	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	ASM2462238v1 assembly for Ligilactobacillus murinus DSM 100193	contig	GCA_024622385	1622.130	8071631899	1622	48.76

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
22254	Ligilactobacillus murinus strain DSM 100193 16S ribosomal RNA gene, partial sequence	KU196090	1502		1622

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM2462238v1 assembly for Ligilactobacillus murinus DSM 100193
NCBI: GCA_024622385

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	93.49	no
125439	motility	BacteriaNetⓘ	no	77.67	no
125439	gram_stain	BacteriaNetⓘ	positive	58.25	no
125439	spore_formation	BacteriaNetⓘ	no	91.44	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Ligilactobacillus murinus DSM 100193
NCBI: GCA_024622385.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	94.10	no
125438	anaerobic	anaerobicⓘ	no	84.39	no
125438	aerobic	aerobicⓘ	no	97.20	yes
125438	spore-forming	spore-formingⓘ	no	86.01	no
125438	thermophilic	thermophileⓘ	no	95.50	no
125438	flagellated	motile2+ⓘ	no	88.00	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Ligilactobacillus murinus Strains Isolated from Mice Intestinal Tract: Molecular Characterization and Antagonistic Activity against Food-Borne Pathogens.	Sandoval-Mosqueda IL, Llorente-Bousquets A, Soto C, Marquez CM, Fadda S, Del Rio Garcia JC.	Microorganisms	10.3390/microorganisms11040942	2023
Metabolism	Bile acids drive the newborn's gut microbiota maturation.	van Best N, Rolle-Kampczyk U, Schaap FG, Basic M, Olde Damink SWM, Bleich A, Savelkoul PHM, von Bergen M, Penders J, Hornef MW.	Nat Commun	10.1038/s41467-020-17183-8	2020

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 )
#22254	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 100193
#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) .
#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 )

Rate our new design

Content

About us

Ligilactobacillus murinus (DSM 100193, M5-8a)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_024622385

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

Help

Social Media