Muribaculum intestinale (DSM 28989, KCTC 15537, YL27)

Name: Muribaculum intestinale (DSM 28989, KCTC 15537, YL27)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 131536

Type strain

Strain Designation YL27

Culture col. no. DSM 28989 KCTC 15537 YL27

NCBI tax ID(s) 1796646

Special Collections DSMZ KCTC Mouse DZIF

Links

Muribaculum intestinale YL27 is an anaerobe, mesophilic, Gram-negative prokaryote that was isolated from caecal content; C57BL/6J wildtype mouse.

Gram-negative anaerobe mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 401999

KCTC 15537,DSM 28989

@ref 20215

Last LPSN update 2025-12-16 10:01:16

Domain Pseudomonadati

Phylum Bacteroidota

Class Bacteroidia

Order Bacteroidales

Family Muribaculaceae

Genus Muribaculum

Species Muribaculum intestinale

Full scientific name Muribaculum intestinale Lagkouvardos et al. 2016

BacDive ID	Other strains from **Muribaculum intestinale** (2)	Type strain
158192	M. intestinale YL5, DSM 100739, JCM 33112
158193	M. intestinale YL7, DSM 100746, JCM 33113

Morphology

Cell morphology

@ref	Gram stain
67771	negative
125439	negative
125438	negative

Colony morphology

22763

Incubation period3-7 days

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
22763	CHOPPED MEAT MEDIUM (DSMZ Medium 78)		Medium recipe at MediaDive	Name: CHOPPED MEAT MEDIUM (DSMZ Medium 78) Composition: Ground beef 500.0 g/l Casitone 30.0 g/l Agar 15.0 g/l Ethanol 9.5 g/l (optional) K2HPO4 5.0 g/l Yeast extract 5.0 g/l L-Cysteine HCl 0.5 g/l Haemin 0.005 g/l (optional) Resazurin 0.001 g/l Vitamin K3 0.0005 g/l (optional) Vitamin K1 (optional) NaOH (optional) Distilled water
22763	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
22763	positive	growth	37	mesophilic
67771	positive	growth	37	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance
22763	anaerobe
67771	anaerobe

Spore formation

@ref	Spore formation	Confidence
125439		99.7
125438		92.978

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68380	29016 ChEBI	arginine	-	hydrolysis	from API rID32A
68380	29985 ChEBI	L-glutamate	-	degradation	from API rID32A
68380	17632 ChEBI	nitrate	-	reduction	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	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 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	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

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	C4 and CAM-carbon fixation	100	8 of 8
66794	glycogen metabolism	100	5 of 5
66794	formaldehyde oxidation	100	3 of 3
66794	coenzyme A metabolism	100	4 of 4
66794	sulfopterin metabolism	100	4 of 4
66794	cis-vaccenate biosynthesis	100	2 of 2
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	biotin biosynthesis	100	4 of 4
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	starch degradation	100	10 of 10
66794	gluconeogenesis	100	8 of 8
66794	folate polyglutamylation	100	1 of 1
66794	palmitate biosynthesis	100	22 of 22
66794	lipid A biosynthesis	88.89	8 of 9
66794	chorismate metabolism	88.89	8 of 9
66794	tetrahydrofolate metabolism	85.71	12 of 14
66794	propanol degradation	85.71	6 of 7
66794	NAD metabolism	83.33	15 of 18
66794	vitamin K metabolism	80	4 of 5
66794	peptidoglycan biosynthesis	80	12 of 15
66794	O-antigen biosynthesis	80	4 of 5
66794	pyrimidine metabolism	80	36 of 45
66794	photosynthesis	78.57	11 of 14
66794	d-mannose degradation	77.78	7 of 9
66794	valine metabolism	77.78	7 of 9
66794	isoleucine metabolism	75	6 of 8
66794	CMP-KDO biosynthesis	75	3 of 4
66794	ppGpp biosynthesis	75	3 of 4
66794	glycogen biosynthesis	75	3 of 4
66794	acetate fermentation	75	3 of 4
66794	flavin biosynthesis	73.33	11 of 15
66794	vitamin B6 metabolism	72.73	8 of 11
66794	cardiolipin biosynthesis	71.43	5 of 7
66794	glycolysis	70.59	12 of 17
66794	propionate fermentation	70	7 of 10
66794	threonine metabolism	70	7 of 10
66794	Entner Doudoroff pathway	70	7 of 10
66794	vitamin B1 metabolism	69.23	9 of 13
66794	phenylalanine metabolism	69.23	9 of 13
66794	acetoin degradation	66.67	2 of 3
66794	serine metabolism	66.67	6 of 9
66794	octane oxidation	66.67	2 of 3
66794	aspartate and asparagine metabolism	66.67	6 of 9
66794	L-lactaldehyde degradation	66.67	2 of 3
66794	purine metabolism	65.96	62 of 94
66794	degradation of sugar alcohols	62.5	10 of 16
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	62.5	5 of 8
66794	glutamate and glutamine metabolism	60.71	17 of 28
66794	methylglyoxal degradation	60	3 of 5
66794	cellulose degradation	60	3 of 5
66794	metabolism of amino sugars and derivatives	60	3 of 5
66794	hydrogen production	60	3 of 5
66794	lipoate biosynthesis	60	3 of 5
66794	alanine metabolism	58.62	17 of 29
66794	isoprenoid biosynthesis	57.69	15 of 26
66794	ubiquinone biosynthesis	57.14	4 of 7
66794	degradation of sugar acids	56	14 of 25
66794	d-xylose degradation	54.55	6 of 11
66794	pentose phosphate pathway	54.55	6 of 11
66794	proline metabolism	54.55	6 of 11
66794	methionine metabolism	53.85	14 of 26
66794	leucine metabolism	53.85	7 of 13
66794	histidine metabolism	51.72	15 of 29
66794	arginine metabolism	50	12 of 24
66794	dTDPLrhamnose biosynthesis	50	4 of 8
66794	kanosamine biosynthesis II	50	1 of 2
66794	ethanol fermentation	50	1 of 2
66794	citric acid cycle	50	7 of 14
66794	adipate degradation	50	1 of 2
66794	myo-inositol biosynthesis	50	5 of 10
66794	butanoate fermentation	50	2 of 4
66794	aminopropanol phosphate biosynthesis	50	1 of 2
66794	selenocysteine biosynthesis	50	3 of 6
66794	dolichol and dolichyl phosphate biosynthesis	50	1 of 2
66794	suberin monomers biosynthesis	50	1 of 2
66794	glycolate and glyoxylate degradation	50	3 of 6
66794	lipid metabolism	48.39	15 of 31
66794	lysine metabolism	47.62	20 of 42
66794	non-pathway related	47.37	18 of 38
66794	tryptophan metabolism	44.74	17 of 38
66794	CO2 fixation in Crenarchaeota	44.44	4 of 9
66794	cysteine metabolism	44.44	8 of 18
66794	reductive acetyl coenzyme A pathway	42.86	3 of 7
66794	degradation of aromatic, nitrogen containing compounds	41.67	5 of 12
66794	arachidonate biosynthesis	40	2 of 5
66794	coenzyme M biosynthesis	40	4 of 10
66794	degradation of pentoses	39.29	11 of 28
66794	polyamine pathway	39.13	9 of 23
66794	urea cycle	38.46	5 of 13
66794	oxidative phosphorylation	38.46	35 of 91
66794	ketogluconate metabolism	37.5	3 of 8
66794	metabolism of disaccharids	36.36	4 of 11
66794	pantothenate biosynthesis	33.33	2 of 6
66794	IAA biosynthesis	33.33	1 of 3
66794	cyanate degradation	33.33	1 of 3
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	degradation of hexoses	33.33	6 of 18
66794	nitrate assimilation	33.33	3 of 9
66794	molybdenum cofactor biosynthesis	33.33	3 of 9
66794	enterobactin biosynthesis	33.33	1 of 3
66794	phenylpropanoid biosynthesis	30.77	4 of 13
66794	glycine metabolism	30	3 of 10
66794	tyrosine metabolism	28.57	4 of 14
66794	glutathione metabolism	28.57	4 of 14
66794	ascorbate metabolism	27.27	6 of 22
66794	cyclohexanol degradation	25	1 of 4
66794	lactate fermentation	25	1 of 4
66794	sulfate reduction	23.08	3 of 13
66794	heme metabolism	21.43	3 of 14

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
22763	-	-	+	+	-	-	-	-	-	+	-	-	-	-	-	-	-	-	-	+	-	-	-	-	+	-	-	-	-
22763	-	-	+	+	-	+/-	-	-	-	+	-	-	-	-	-	-	+	-	-	+	-	-	-	-	+	-	-	-	-
22763	-	-	+	+	-	+	-	-	-	+	+/-	+/-	-	-	-	-	+	-	-	+	-	-	-	-	+	-	-	-	-
22763	-	-	+	-	-	-	-	-	-	+	-	-	-	-	-	-	-	-	-	+	-	-	-	-	+	-	-	-	-
22763	-	-	+	+	-	+	-	-	-	-	-	-	-	-	-	-	+	-	-	+	-	-	-	-	+	-	-	-	-

Isolation, sampling and environmental information

Isolation source categories

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

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
22763	caecal content; C57BL/6J wildtype mouse	Zurich	Switzerland	CHE	Europe
67771	From caecal content, C57BL/6J wildtype mouse	Zurich	Switzerland	CHE	Europe

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
22763	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	ASM168884v2 assembly for Muribaculum intestinale YL27	complete	GCA_001688845	1796646.147	2718218191	1796646	98.95
66792	ASM1669684v1 assembly for Muribaculum intestinale YL27	chromosome	GCA_016696845	1796646.97	8001763101	1796646	88.75
66792	ASM220151v1 assembly for Muribaculum intestinale YL27	chromosome	GCA_002201515	1796646.5	2757320696	1796646	88.52

Genome browser: GCA_001688845

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
22763	Muribaculum intestinale strain YL27 16S ribosomal RNA gene, partial sequence	KR364784	1460		1796646

GC content

@ref	GC-content (mol%)	Method
22763	49.9	sequence analysis
67771	49.9

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Muribaculum intestinale YL27
NCBI: GCA_001688845

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	99.70	no
125439	motility	BacteriaNetⓘ	yes	62.10	no
125439	gram_stain	BacteriaNetⓘ	negative	99.40	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	73.10	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Muribaculum intestinale YL27
NCBI: GCA_001688845.2

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	96.78	yes
125438	anaerobic	anaerobicⓘ	yes	81.17	yes
125438	aerobic	aerobicⓘ	no	84.65	no
125438	spore-forming	spore-formingⓘ	no	92.98	no
125438	thermophilic	thermophileⓘ	no	92.52	yes
125438	flagellated	motile2+ⓘ	no	86.00	no

Literature

Title	Authors	Journal	DOI	Year
A consortium of seven commensal bacteria promotes gut microbiota recovery and strengthens ecological barrier against vancomycin-resistant enterococci.	Jan A, Bayle P, Mohellibi N, Lemoine C, Pepke F, Beguet-Crespel F, Jouanin I, Tremblay-Franco M, Laroche B, Serror P, Rigottier-Gois L.	Microbiome	10.1186/s40168-025-02127-5	2025
Muribaculum intestinale restricts Salmonella Typhimurium colonization by converting succinate to propionate.	Wang Z, Kang S, Wu Z, Liu X, Zhang X, Wu Y, Wen Y, Zhou X, Zhang G, Wang J, Han D.	ISME J	10.1093/ismejo/wraf069	2025
A Cardiolipin from Muribaculum intestinale Induces Antigen-Specific Cytokine Responses.	Bang S, Shin YH, Ma X, Park SM, Graham DB, Xavier RJ, Clardy J.	J Am Chem Soc	10.1021/jacs.3c09734	2023
Dimethyl Itaconate Alleviates Escherichia coli-Induced Endometritis Through the Guanosine-CXCL14 Axis via Increasing the Abundance of norank_f_Muribaculaceae.	He Y, Cai J, Xie X, Zhang X, Qu L, Liu J, Cao Y.	Adv Sci (Weinh)	10.1002/advs.202414792	2025
Differential modulation of post-antibiotic colonization resistance to Clostridioides difficile by two probiotic Lactobacillus strains.	Foley MH, McMillan AS, O'Flaherty S, Thanissery R, Vanhoy ME, Fuller MG, Barrangou R, Theriot CM.	mBio	10.1128/mbio.01468-25	2025
Gut colonisation with multidrug-resistant Klebsiella pneumoniae worsens Pseudomonas aeruginosa lung infection.	Le Guern R, Grandjean T, Stabler S, Bauduin M, Gosset P, Kipnis E, Dessein R.	Nat Commun	10.1038/s41467-022-35767-4	2023
The microbial-derived bile acid lithocholate and its epimers inhibit Clostridioides difficile growth and pathogenicity while sparing members of the gut microbiota.	Kisthardt SC, Thanissery R, Pike CM, Foley MH, Theriot CM.	J Bacteriol	10.1128/jb.00180-23	2023
Gut microbiota suppress feeding induced by palatable foods.	Ousey J, Boktor JC, Mazmanian SK.	Curr Biol	10.1016/j.cub.2022.10.066	2023
Reproducible Colonization of Germ-Free Mice With the Oligo-Mouse-Microbiota in Different Animal Facilities.	Eberl C, Ring D, Munch PC, Beutler M, Basic M, Slack EC, Schwarzer M, Srutkova D, Lange A, Frick JS, Bleich A, Stecher B.	Front Microbiol	10.3389/fmicb.2019.02999	2019
In vitro and in vivo selection and cost of bacteriophage resistance on natural Escherichia coli.	Cardoso LL, Gaissmaier MS, von Strempel A, Keys T, Matchado MS, Salvado Silva M, Ring D, Slack E, Stecher B.	Microlife	10.1093/femsml/uqaf017	2025
Bacterial Swarmers Enriched During Intestinal Stress Ameliorate Damage.	De A, Chen W, Li H, Wright JR, Lamendella R, Lukin DJ, Szymczak WA, Sun K, Kelly L, Ghosh S, Kearns DB, He Z, Jobin C, Luo X, Byju A, Chatterjee S, San Yeoh B, Vijay-Kumar M, Tang JX, Prajapati M, Bartnikas TB, Mani S.	Gastroenterology	10.1053/j.gastro.2021.03.017	2021
The human intestinal bacterium Eggerthella lenta influences gut metabolomes in gnotobiotic mice	Viehof A, Haange S, Streidl T, Schubert K, Engelmann B, Haller D, Rolle-Kampczyk U, von Bergen M, Clavel T.	Microbiome Res Rep		2024
Bacteriophages targeting protective commensals impair resistance against Salmonella Typhimurium infection in gnotobiotic mice.	von Strempel A, Weiss AS, Wittmann J, Salvado Silva M, Ring D, Wortmann E, Clavel T, Debarbieux L, Kleigrewe K, Stecher B.	PLoS Pathog	10.1371/journal.ppat.1011600	2023
Rational design of a microbial consortium of mucosal sugar utilizers reduces Clostridiodes difficile colonization.	Pereira FC, Wasmund K, Cobankovic I, Jehmlich N, Herbold CW, Lee KS, Lee KS, Sziranyi B, Vesely C, Decker T, Stocker R, Warth B, von Bergen M, Wagner M, Berry D.	Nat Commun	10.1038/s41467-020-18928-1	2020
Moving beyond microbiome-wide associations to causal microbe identification.	Surana NK, Kasper DL.	Nature	10.1038/nature25019	2017
Nutritional and host environments determine community ecology and keystone species in a synthetic gut bacterial community.	Weiss AS, Niedermeier LS, von Strempel A, Burrichter AG, Ring D, Meng C, Kleigrewe K, Lincetto C, Hubner J, Stecher B.	Nat Commun	10.1038/s41467-023-40372-0	2023
A 16S rRNA Gene and Draft Genome Database for the Murine Oral Bacterial Community.	Joseph S, Aduse-Opoku J, Hashim A, Hanski E, Streich R, Knowles SCL, Pedersen AB, Wade WG, Curtis MA.	mSystems	10.1128/msystems.01222-20	2021
The gut bacterium Extibacter muris produces secondary bile acids and influences liver physiology in gnotobiotic mice.	Streidl T, Karkossa I, Segura Munoz RR, Eberl C, Zaufel A, Plagge J, Schmaltz R, Schubert K, Basic M, Schneider KM, Afify M, Trautwein C, Tolba R, Stecher B, Doden HL, Ridlon JM, Ecker J, Moustafa T, von Bergen M, Ramer-Tait AE, Clavel T.	Gut Microbes	10.1080/19490976.2020.1854008	2021
Changes in the gut microbiome and fermentation products concurrent with enhanced longevity in acarbose-treated mice.	Smith BJ, Miller RA, Ericsson AC, Harrison DC, Strong R, Schmidt TM.	BMC Microbiol	10.1186/s12866-019-1494-7	2019
In vitro and in vivo characterization of Clostridium scindens bile acid transformations.	Marion S, Studer N, Desharnais L, Menin L, Escrig S, Meibom A, Hapfelmeier S, Bernier-Latmani R.	Gut Microbes	10.1080/19490976.2018.1549420	2019
Functional Intestinal Bile Acid 7alpha-Dehydroxylation by Clostridium scindens Associated with Protection from Clostridium difficile Infection in a Gnotobiotic Mouse Model.	Studer N, Desharnais L, Beutler M, Brugiroux S, Terrazos MA, Menin L, Schurch CM, McCoy KD, Kuehne SA, Minton NP, Stecher B, Bernier-Latmani R, Hapfelmeier S.	Front Cell Infect Microbiol	10.3389/fcimb.2016.00191	2016
Muribaculum gordoncarteri sp. nov., an anaerobic bacterium from the faeces of C57BL/6J mice.	Miyake S, Ding Y, Soh M, Low A, Seedorf H	Int J Syst Evol Microbiol	10.1099/ijsem.0.004338	2020
Cultivation and description of Duncaniella dubosii sp. nov., Duncaniella freteri sp. nov. and emended description of the species Duncaniella muris.	Miyake S, Ding Y, Soh M, Low A, Seedorf H	Int J Syst Evol Microbiol	10.1099/ijsem.0.004137	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 )
#22763	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 28989
#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) .
#66794	Antje Chang, Lisa Jeske, Sandra Ulbrich, Julia Hofmann, Julia Koblitz, Ida Schomburg, Meina Neumann-Schaal, Dieter Jahn, Dietmar Schomburg: BRENDA, the ELIXIR core data resource in 2021: new developments and updates. Nucleic Acids Res. 49: D498 - D508 2020 ( DOI 10.1093/nar/gkaa1025 , PubMed 33211880 )
#67771	Korean Collection for Type Cultures (KCTC) ; Curators of the KCTC;
#68380	Automatically annotated from API rID32A .
#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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Muribaculum intestinale (DSM 28989, KCTC 15537, YL27)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Metabolite utilization

Metabolite production

Metabolite tests

Enzymes

Pathway annotation

API rID32A

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_001688845

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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