Murimonas intestini (DSM 27577, CCUG 64595, SRB-509-4-S-H)

Name: Murimonas intestini (DSM 27577, CCUG 64595, SRB-509-4-S-H)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 130361

Type strain

Strain Designation SRB-509-4-S-H

Culture col. no. DSM 27577 CCUG 64595 SRB-509-4-S-H

NCBI tax ID(s) 1337051

Special Collections DSMZ CCUG Mouse

Links

Murimonas intestini SRB-509-4-S-H is an anaerobe, mesophilic prokaryote that was isolated from caecal content of a 17-week-old female heterozygous TNF ^DeltaARE/+ mouse that was fed a standard experimental diet supplemented with ground flaxseeds.

anaerobe mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 399488

DSM 27577,CCUG 64595

@ref 20215

Last LPSN update 2025-12-16 10:00:58

Domain Bacillati

Phylum Bacillota

Class Clostridia

Order Eubacteriales

Family Lachnospiraceae

Genus Murimonas

Species Murimonas intestini

Full scientific name Murimonas intestini Kläring et al. 2015

BacDive ID	Other strains from **Murimonas intestini** (2)	Type strain
130360	M. intestini SRB-530-5-H, DSM 26524, CCUG 63391, SRB 530 (type strain)
130362	M. intestini SRB-524-4-S-H, DSM 27578, CCUG 64594

Morphology

Colony morphology

63142

Incubation period2 days

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
22148	PYG MEDIUM (MODIFIED) (DSMZ Medium 104)		Medium recipe at MediaDive	Name: PYG MEDIUM (modified) (DSMZ Medium 104) Composition: Yeast extract 10.0 g/l Peptone 5.0 g/l Trypticase peptone 5.0 g/l Beef extract 5.0 g/l Glucose 5.0 g/l L-Cysteine HCl x H2O 0.5 g/l NaHCO3 0.4 g/l NaCl 0.08 g/l K2HPO4 0.04 g/l KH2PO4 0.04 g/l MgSO4 x 7 H2O 0.02 g/l CaCl2 x 2 H2O 0.01 g/l Hemin 0.005 g/l Ethanol 0.0038 g/l Resazurin 0.001 g/l Tween 80 Vitamin K1 NaOH Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
22148	positive	growth	37	mesophilic
63142	positive	growth	37	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance
22148	anaerobe
63142	anaerobe
125439	facultative anaerobe

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	arginine dihydrolase	-	3.5.3.6	from API rID32A
68380	beta-galactosidase	+	3.2.1.23	from API rID32A
68380	beta-Galactosidase 6-phosphate	-		from API rID32A
68380	beta-glucosidase	+	3.2.1.21	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	N-acetyl-beta-glucosaminidase	-	3.2.1.52	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
22148	-	-	+	+	-	+/-	+	+	-	-	-	+	-	+	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-

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
22148	caecal content of a 17-week-old female heterozygous TNF ^DeltaARE/+ mouse that was fed a standard experimental diet supplemented with ground flaxseeds	Freising-Weihenstephan	Germany	DEU	Europe
63142	Mouse intestine	Weihenstephan,Freising	Germany	DEU	Europe

Taxonmaps

69479

Global distribution of 16S sequence KF601349 (>99% sequence identity) for Murimonas intestini subclade from Microbeatlas

Aquatic Samples	74
Soil Samples	24
Animal Samples	10124
Plant Samples	24
Total Samples	10246

Interaction and safety

Risk assessment

@ref	Pathogenicity animal	Biosafety level	Biosafety level comment
22148	yes, in single cases	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	ASM2462216v1 assembly for Murimonas intestini DSM 27577	contig	GCA_024622165	1337051.13	8062003822	1337051	71.48

Genome browser: GCA_024622165

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
22148	Murimonas intestini strain SRB-509-4-S-H 16S ribosomal RNA gene, partial sequence	KF601349	1357		1337051

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Murimonas intestini DSM 27577
NCBI: GCA_024622165

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	88.40	no
125439	motility	BacteriaNetⓘ	yes	87.00	no
125439	gram_stain	BacteriaNetⓘ	positive	73.20	no
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	99.80	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Murimonas intestini DSM 27577
NCBI: GCA_024622165.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	81.01	no
125438	anaerobic	anaerobicⓘ	yes	85.78	yes
125438	aerobic	aerobicⓘ	no	87.73	no
125438	spore-forming	spore-formingⓘ	yes	60.53	no
125438	thermophilic	thermophileⓘ	no	95.40	yes
125438	flagellated	motile2+ⓘ	no	61.05	no

Literature

Title	Authors	Journal	DOI	Year
Fusimonas intestini gen. nov., sp. nov., a novel intestinal bacterium of the family Lachnospiraceae associated with diabetes in mice.	Kusada H, Kameyama K, Meng XY, Kamagata Y, Tamaki H.	Sci Rep	10.1038/s41598-017-18122-2	2017
Murimonas intestini gen. nov., sp. nov., an acetate-producing bacterium of the family Lachnospiraceae isolated from the mouse gut.	Klaring K, Just S, Lagkouvardos I, Hanske L, Haller D, Blaut M, Wenning M, Clavel T	Int J Syst Evol Microbiol	10.1099/ijs.0.000030	2014

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 )
#22148	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 27577
#63142	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 64595
#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) .
#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 )

Rate our new design

Content

About us

Murimonas intestini (DSM 27577, CCUG 64595, SRB-509-4-S-H)

Name and taxonomic classification

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_024622165

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

Help

Social Media