Longibaculum muris (DSM 29487, KCTC 15536, MT10-315-CC-1.2-2)

Name: Longibaculum muris (DSM 29487, KCTC 15536, MT10-315-CC-1.2-2)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 131528

Type strain

Strain Designation MT10-315-CC-1.2-2

Culture col. no. DSM 29487 KCTC 15536 MT10-315-CC-1.2-2

NCBI tax ID(s) 1796628

Special Collections DSMZ KCTC Mouse DZIF

History <- T. Clavel, TU Munich, Freising-Weihenstephan, Germany; MT10-315-CC-1.2-2 <- Barbel Fosel, DSM, Germany

Links

Longibaculum muris MT10-315-CC-1.2-2 is an anaerobe, mesophilic, filament-shaped prokaryote that was isolated from caecal content; TNF^deltaARE/+ C57BL/6 mouse.

filament-shaped anaerobe mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 398469

KCTC 15536,DSM 29487

@ref 20215

Last LPSN update 2026-02-09 11:31:29

Domain Bacteria

Phylum Bacillota

Class Erysipelotrichia

Order Erysipelotrichales

Family Erysipelotrichaceae

Genus Longibaculum

Species Longibaculum muris

Full scientific name Longibaculum muris Lagkouvardos et al. 2017

Morphology

Cell morphology

@ref	Cell shape	Gram stain
67771	filament-shaped
67771		positive

Colony morphology

22755

Incubation period2-3 days

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
22755	WILKINS-CHALGREN ANAEROBE BROTH (DSMZ Medium 339)		Medium recipe at MediaDive	Name: WILKINS-CHALGREN ANAEROBE BROTH (DSMZ Medium 339) Composition: dehydrated Wilkins-Chalgren medium 33.0 g/l L-Cysteine HCl 0.3 g/l Sodium resazurin 0.0005 g/l Distilled water
22755	COLUMBIA BLOOD MEDIUM (DSMZ Medium 693)		Medium recipe at MediaDive	Name: COLUMBIA BLOOD MEDIUM (DSMZ Medium 693) Composition: Defibrinated sheep blood 50.0 g/l Columbia agar base

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
22755	positive	growth	37	mesophilic
67771	positive	growth	37	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
22755	anaerobe
67771	anaerobe
125439	anaerobe	98.6

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68380	29016 ChEBI	arginine	-	hydrolysis	from API rID32A
68380	16024 ChEBI	D-mannose	-	fermentation	from API rID32A
68380	29985 ChEBI	L-glutamate	-	degradation	from API rID32A
68380	17632 ChEBI	nitrate	-	reduction	from API rID32A
68380	16634 ChEBI	raffinose	-	fermentation	from API rID32A
68380	27897 ChEBI	tryptophan	-	energy source	from API rID32A
68380	16199 ChEBI	urea	-	hydrolysis	from API rID32A

Metabolite production

@ref	Chebi-ID	Metabolite	Production
68380	35581 ChEBI	indole		from API rID32A

Metabolite tests

@ref	Chebi-ID	Metabolite	Indole test
68380	35581 ChEBI	indole	-	from API rID32A

Enzymes

@ref	Value	Activity	Ec
68380	alanine arylamidase	-	3.4.11.2	from API rID32A
68380	alkaline phosphatase	-	3.1.3.1	from API rID32A
68380	alpha-arabinosidase	-	3.2.1.55	from API rID32A
68380	alpha-fucosidase	-	3.2.1.51	from API rID32A
68380	alpha-galactosidase	-	3.2.1.22	from API rID32A
68380	alpha-glucosidase	-	3.2.1.20	from API rID32A
68380	arginine dihydrolase	-	3.5.3.6	from API rID32A
68380	beta-galactosidase	-	3.2.1.23	from API rID32A
68380	beta-glucuronidase	-	3.2.1.31	from API rID32A
68380	glutamate decarboxylase	-	4.1.1.15	from API rID32A
68380	glutamyl-glutamate arylamidase	-		from API rID32A
68380	glycin arylamidase	-		from API rID32A
68380	histidine arylamidase	-		from API rID32A
68380	L-arginine arylamidase	-		from API rID32A
68380	leucine arylamidase	-	3.4.11.1	from API rID32A
68380	leucyl glycin arylamidase	-	3.4.11.1	from API rID32A
68380	phenylalanine arylamidase	-		from API rID32A
68380	proline-arylamidase	-	3.4.11.5	from API rID32A
68380	pyrrolidonyl arylamidase	+	3.4.19.3	from API rID32A
68380	serine arylamidase	-		from API rID32A
68380	tryptophan deaminase	-	4.1.99.1	from API rID32A
68380	tyrosine arylamidase	-		from API rID32A
68380	urease	-	3.5.1.5	from API rID32A

API rID32A

@ref	URE	ADH (Arg)	alpha GAL	beta GAL	beta-Galactosidase 6-phosphatebeta GP	alpha GLU	beta GLU	alpha ARA	beta GUR	beta-N-Acetyl-beta-glucosaminidasebeta NAG	MNE	RAF	GDC	alpha FUC	Reduction of nitrateNIT	IND	PAL	L-arginine arylamidaseArgA	ProA	LGA	Phenylalanine arylamidasePheA	Leucine arylamidaseLeuA	PyrA	Tyrosine arylamidaseTyrA	Alanine arylamidaseAlaA	Glycin arylamidaseGlyA	Histidine arylamidaseHisA	Glutamyl-glutamate arylamidaseGGA	Serine arylamidaseSerA
22755	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	+	-	-	-	-	-	-
22755	-	-	-	-	+	-	+	-	-	+	-	-	-	-	-	-	-	-	-	-	-	-	+	-	-	-	-	-	-
22755	-	-	-	-	+	-	+	-	-	+	-	-	-	-	-	-	-	-	-	-	-	-	+	-	-	-	-	-	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Mammals	#Muridae (Mouse/Rat)
#Host Body-Site	#Gastrointestinal tract	#Large intestine
#Host Body Product	#Gastrointestinal tract	#Caecal content

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
22755	caecal content; TNF^deltaARE/+ C57BL/6 mouse	Freising	Germany	DEU	Europe
67771	From mouse instine, caecal content; TNFdeltaARE/+ C57BL/6 mouse	Freising	Germany	DEU	Europe

Taxonmaps

69479

Global distribution of 16S sequence KR364765 (>99% sequence identity) for Longibaculum muris subclade from Microbeatlas

Aquatic Samples	319
Soil Samples	94
Animal Samples	19370
Plant Samples	64
Total Samples	19847

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
22755	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	ASM2462223v1 assembly for Longibaculum muris DSM 29487	contig	GCA_024622235	1796628.16	8062833157	1796628	69.78
66792	ASM434303v1 assembly for Longibaculum muris DSM 29487	scaffold	GCA_004343035	1796628.13	2788499828	1796628	66.88

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
22755	Longibaculum muris strain MT10-315-CC-1.2-2 16S ribosomal RNA gene, partial sequence	KR364765	1465		1796628

GC content

@ref	GC-content (mol%)	Method
22755	30.8	sequence analysis
67771	30.8	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Longibaculum muris DSM 29487
NCBI: GCA_004343035

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	77.00	no
125439	motility	BacteriaNetⓘ	yes	64.40	no
125439	gram_stain	BacteriaNetⓘ	positive	87.00	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	98.60	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Longibaculum muris DSM 29487
NCBI: GCA_004343035.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	78.62	yes
125438	anaerobic	anaerobicⓘ	yes	87.43	yes
125438	aerobic	aerobicⓘ	no	96.07	yes
125438	spore-forming	spore-formingⓘ	no	59.28	no
125438	thermophilic	thermophileⓘ	no	94.24	yes
125438	flagellated	motile2+ⓘ	no	65.71	no

Literature

Title	Authors	Journal	DOI	Year
Gut Microbiota Contribution to Weight-Independent Glycemic Improvements after Gastric Bypass Surgery.	Hankir MK, Kovatcheva-Datchary P, Springer R, Hoffmann A, Vogel J, Seyfried F, Arora T.	Microbiol Spectr	10.1128/spectrum.05109-22	2023

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 )
#22755	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 29487
#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) .
#67771	Korean Collection for Type Cultures (KCTC) ; Curators of the KCTC;
#68380	Automatically annotated from API rID32A .
#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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Longibaculum muris (DSM 29487, KCTC 15536, MT10-315-CC-1.2-2)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Metabolite utilization

Metabolite production

Metabolite tests

Enzymes

API rID32A

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_024622235

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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