Akkermansia muciniphila (DSM 26127, YL44)

Name: Akkermansia muciniphila (DSM 26127, YL44)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 131145

Type strain

Strain Designation YL44

Culture col. no. DSM 26127 YL44

NCBI tax ID(s) 239935

Special Collections DSMZ Mouse DZIF

History DSMZ <- B. Stecher, Max von Pettenkofer-Inst., Munich; YL44

Links

Akkermansia muciniphila YL44 is an anaerobe bacterium that was isolated from C57BL/6J wildtype mouse.

anaerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 402607

DSM 26127

@ref 20215

Last LPSN update 2026-05-29 08:37:33

Domain Bacteria

Phylum Verrucomicrobiota

Class Verrucomicrobiia

Order Verrucomicrobiales

Family Akkermansiaceae

Genus Akkermansia

Species Akkermansia muciniphila

Full scientific name Akkermansia muciniphila Derrien et al. 2004

BacDive ID	Other strains from **Akkermansia muciniphila** (2)	Type strain
17849	A. muciniphila Muc, MucT, DSM 22959, ATCC BAA-835, CIP 107961, ... (type strain)
163900	A. muciniphila JCM 30893

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	92.688
125438	negative	95.206

Colony morphology

22437

Incubation period2-3 days

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
22437	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
22437	CHOPPED MEAT MEDIUM WITH CARBOHYDRATES (DSMZ Medium 110)		Medium recipe at MediaDive	Name: CHOPPED MEAT MEDIUM WITH CARBOHYDRATES (DSMZ Medium 110) Composition: Ground beef 500.0 g/l Casitone 30.0 g/l Agar 15.0 g/l K2HPO4 5.0 g/l Yeast extract 5.0 g/l D-Glucose 4.0 g/l Starch 1.0 g/l Maltose 1.0 g/l Cellobiose 1.0 g/l L-Cysteine HCl 0.5 g/l Ethanol 0.19 g/l Vitamin K3 0.05 g/l Hemin 0.005 g/l Sodium resazurin 0.0005 g/l Vitamin K1 NaOH Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
22437	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
22437	anaerobe
125439	obligate anaerobe	98.732

Spore formation

@ref	Spore formation	Confidence
125439		98.951

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68380	29016 ChEBI	arginine	-	hydrolysis	from API rID32A
68367	17057 ChEBI	cellobiose	-	builds acid from	from API 20A
68367	17634 ChEBI	D-glucose	+	builds acid from	from API 20A
68367	16899 ChEBI	D-mannitol	-	builds acid from	from API 20A
68380	16024 ChEBI	D-mannose	-	fermentation	from API rID32A
68367	65327 ChEBI	D-xylose	-	builds acid from	from API 20A
68367	4853 ChEBI	esculin	-	hydrolysis	from API 20A
68367	5291 ChEBI	gelatin	-	hydrolysis	from API 20A
68367	17754 ChEBI	glycerol	-	builds acid from	from API 20A
68367	30849 ChEBI	L-arabinose	-	builds acid from	from API 20A
68380	29985 ChEBI	L-glutamate	-	degradation	from API rID32A
68367	62345 ChEBI	L-rhamnose	-	builds acid from	from API 20A
68367	17306 ChEBI	maltose	-	builds acid from	from API 20A
68367	6731 ChEBI	melezitose	-	builds acid from	from API 20A
68380	17632 ChEBI	nitrate	-	reduction	from API rID32A
68380	16634 ChEBI	raffinose	-	fermentation	from API rID32A
68367	16634 ChEBI	raffinose	-	builds acid from	from API 20A
68367	17814 ChEBI	salicin	-	builds acid from	from API 20A
68367	30911 ChEBI	sorbitol	-	builds acid from	from API 20A
68367	17992 ChEBI	sucrose	-	builds acid from	from API 20A
68367	27082 ChEBI	trehalose	-	builds acid from	from API 20A
68380	27897 ChEBI	tryptophan	-	energy source	from API rID32A
68367	27897 ChEBI	tryptophan	-	energy source	from API 20A
68380	16199 ChEBI	urea	-	hydrolysis	from API rID32A
68367	16199 ChEBI	urea	-	hydrolysis	from API 20A

Metabolite production

@ref	Chebi-ID	Metabolite	Production
68380	35581 ChEBI	indole		from API rID32A
68367	35581 ChEBI	indole		from API 20A

Metabolite tests

@ref	Chebi-ID	Metabolite	Indole test
68380	35581 ChEBI	indole	-	from API rID32A
68367	35581 ChEBI	indole	-	from API 20A

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-Galactosidase 6-phosphate	-		from API rID32A
68380	beta-glucosidase	-	3.2.1.21	from API rID32A
68367	beta-glucosidase	-	3.2.1.21	from API 20A
68380	beta-glucuronidase	-	3.2.1.31	from API rID32A
68367	gelatinase	-		from API 20A
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	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
68367	urease	-	3.5.1.5	from API 20A

API 20A

@ref	IND	URE	GLU	MAN	LAC	SAC	MAL	SAL	XYL	ARA	GEL	ESC	GLY	CEL	MNE	MLZ	RAF	SOR	RHA	TRE	CAT	Spores presentSPOR	GramGRAM	Morphology coccus="+" rod="-"COCC
22437	-	-	+	-	+/-	-	-	-	-	-	-	-	-	-	+/-	-	-	-	-	-	not determinedn.d.	not determinedn.d.	not determinedn.d.	not determinedn.d.
22437	-	-	+	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	not determinedn.d.	not determinedn.d.	not determinedn.d.	not determinedn.d.

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
22437	-	-	-	+	-	-	-	-	-	+	-	-	-	-	-	-	-	+/-	-	-	-	-	-	-	-	-	-	-	-
22437	-	-	-	+	-	-	-	-	-	+	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
22437	-	-	-	+	-	-	-	-	-	+	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-

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
22437	C57BL/6J wildtype mouse	Zurich	Switzerland	CHE	Europe

Taxonmaps

69479

Global distribution of 16S sequence KR364731 (>99% sequence identity) for Akkermansia muciniphila subclade from Microbeatlas

Aquatic Samples	4383
Soil Samples	1656
Animal Samples	128875
Plant Samples	623
Total Samples	135537

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
22437	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	ASM168876v2 assembly for Akkermansia muciniphila YL44	complete	GCA_001688765		2721755767	239935	99.18
66792	ASM220149v1 assembly for Akkermansia muciniphila YL44	chromosome	GCA_002201495	239935.44	2833038095	239935	89.23
66792	ASM1669742v1 assembly for Akkermansia muciniphila YL44	chromosome	GCA_016697425	239935.2325	8003494075	239935	88.98

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
22437	Akkermansia muciniphila strain YL44 16S ribosomal RNA gene, partial sequence	KR364731	1500		239935

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM168876v2 assembly for Akkermansia muciniphila YL44
NCBI: GCA_001688765

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate anaerobe	98.73	no
125439	gram_stain	BacteriaNetⓘ	negative	92.69	no
125439	motility	BacteriaNetⓘ	yes	55.94	no
125439	spore_formation	BacteriaNetⓘ	no	98.95	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Akkermansia muciniphila YL44
NCBI: GCA_001688765.2

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	95.21	no
125438	anaerobic	anaerobicⓘ	yes	74.94	no
125438	aerobic	aerobicⓘ	no	86.52	yes
125438	spore-forming	spore-formingⓘ	no	88.18	no
125438	thermophilic	thermophileⓘ	no	93.35	yes
125438	flagellated	motile2+ⓘ	no	82.96	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	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
	Complete Genome Sequences of 12 Species of Stable Defined Moderately Diverse Mouse Microbiota 2.	Uchimura Y, Wyss M, Brugiroux S, Limenitakis JP, Stecher B, McCoy KD, Macpherson AJ.	Genome Announc	10.1128/genomea.00951-16	2016
	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
Metabolism	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
	Microbiota-induced tissue signals regulate ILC3-mediated antigen presentation.	Lehmann FM, von Burg N, Ivanek R, Teufel C, Horvath E, Peter A, Turchinovich G, Staehli D, Eichlisberger T, Gomez de Aguero M, Coto-Llerena M, Prchal-Murphy M, Sexl V, Bentires-Alj M, Mueller C, Finke D.	Nat Commun	10.1038/s41467-020-15612-2	2020
Metabolism	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
Pathogenicity	Salt-responsive gut commensal modulates T_H17 axis and disease.	Wilck N, Matus MG, Kearney SM, Olesen SW, Forslund K, Bartolomaeus H, Haase S, Mahler A, Balogh A, Marko L, Vvedenskaya O, Kleiner FH, Tsvetkov D, Klug L, Costea PI, Sunagawa S, Maier L, Rakova N, Schatz V, Neubert P, Fratzer C, Krannich A, Gollasch M, Grohme DA, Corte-Real BF, Gerlach RG, Basic M, Typas A, Wu C, Titze JM, Jantsch J, Boschmann M, Dechend R, Kleinewietfeld M, Kempa S, Bork P, Linker RA, Alm EJ, Muller DN.	Nature	10.1038/nature24628	2017
Metabolism	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

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 )
#22437	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 26127
#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) .
#68367	Automatically annotated from API 20A .
#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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Akkermansia muciniphila (DSM 26127, YL44)

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

API 20A

API rID32A

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_001688765

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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