Acetatifactor muris (DSM 23669, ATCC BAA-2170, CT-m2)

Name: Acetatifactor muris (DSM 23669, ATCC BAA-2170, CT-m2)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 18089

Type strain

Strain Designation CT-m2

Culture col. no. DSM 23669 ATCC BAA-2170 CT-m2

NCBI tax ID(s) 879566

Special Collections DSMZ Mouse

History DSMZ <- T. Clavel, BFLM, TU Munich, Freising-Weihenstephan, Germany; CT-m2 <- T. Clavel {2009}

Links

Acetatifactor muris CT-m2 is an anaerobe bacterium that was isolated from cecal content of obese mouse.

anaerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 407443

ATCC BAA-2170,DSM 23669

@ref 20215

Last LPSN update 2026-05-29 08:29:10

Domain Bacteria

Phylum Bacillota

Class Clostridia

Order Eubacteriales

Family Lachnospiraceae

Genus Acetatifactor

Species Acetatifactor muris

Full scientific name Acetatifactor muris Pfeiffer et al. 2013

Morphology

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
17334	WILKINS-CHALGREN ANAEROBE BROTH (N2/CO2) (DSMZ Medium 339a)		Medium recipe at MediaDive	Name: WILKINS-CHALGREN ANAEROBE BROTH (N2/CO2) (DSMZ Medium 339a) Composition: dehydrated Wilkins-Chalgren medium 33.0 g/l D-Glucose 5.0 g/l L-Cysteine HCl 0.3 g/l Sodium resazurin 0.0005 g/l Distilled water
17334	PYG MEDIUM (MODIFIED) (DSMZ Medium 104)		Medium recipe at MediaDive	Name: PYG MEDIUM (modified) (DSMZ Medium 104; with strain-specific modifications) Composition: Yeast extract 10.0 g/l Trypticase peptone 5.0 g/l 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 Vitamin K1 NaOH Tween 80 Clarified rumen fluid Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
17334	positive	growth	37

Physiology and metabolism

Oxygen tolerance

17334

Oxygen toleranceanaerobe

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	ethanol fermentation	100	2 of 2
66794	C4 and CAM-carbon fixation	100	8 of 8
66794	L-lactaldehyde degradation	100	3 of 3
66794	adipate degradation	100	2 of 2
66794	acetate fermentation	100	4 of 4
66794	biotin biosynthesis	100	4 of 4
66794	palmitate biosynthesis	100	22 of 22
66794	glycogen metabolism	100	5 of 5
66794	ppGpp biosynthesis	100	4 of 4
66794	starch degradation	100	10 of 10
66794	gluconeogenesis	100	8 of 8
66794	cis-vaccenate biosynthesis	100	2 of 2
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	kanosamine biosynthesis II	100	2 of 2
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	suberin monomers biosynthesis	100	2 of 2
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	teichoic acid biosynthesis	100	1 of 1
66794	folate polyglutamylation	100	1 of 1
66794	myo-inositol biosynthesis	90	9 of 10
66794	aspartate and asparagine metabolism	88.89	8 of 9
66794	d-mannose degradation	88.89	8 of 9
66794	chorismate metabolism	88.89	8 of 9
66794	metabolism of amino sugars and derivatives	80	4 of 5
66794	O-antigen biosynthesis	80	4 of 5
66794	cellulose degradation	80	4 of 5
66794	threonine metabolism	80	8 of 10
66794	glycine betaine biosynthesis	80	4 of 5
66794	peptidoglycan biosynthesis	80	12 of 15
66794	photosynthesis	78.57	11 of 14
66794	valine metabolism	77.78	7 of 9
66794	CO2 fixation in Crenarchaeota	77.78	7 of 9
66794	vitamin B1 metabolism	76.92	10 of 13
66794	sulfopterin metabolism	75	3 of 4
66794	ketogluconate metabolism	75	6 of 8
66794	degradation of sugar alcohols	75	12 of 16
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	75	6 of 8
66794	glycogen biosynthesis	75	3 of 4
66794	degradation of hexoses	72.22	13 of 18
66794	cardiolipin biosynthesis	71.43	5 of 7
66794	Entner Doudoroff pathway	70	7 of 10
66794	phenylalanine metabolism	69.23	9 of 13
66794	glutamate and glutamine metabolism	67.86	19 of 28
66794	NAD metabolism	66.67	12 of 18
66794	serine metabolism	66.67	6 of 9
66794	pyrimidine metabolism	66.67	30 of 45
66794	acetoin degradation	66.67	2 of 3
66794	formaldehyde oxidation	66.67	2 of 3
66794	glycolysis	64.71	11 of 17
66794	degradation of pentoses	64.29	18 of 28
66794	d-xylose degradation	63.64	7 of 11
66794	non-pathway related	63.16	24 of 38
66794	oxidative phosphorylation	62.64	57 of 91
66794	dTDPLrhamnose biosynthesis	62.5	5 of 8
66794	isoleucine metabolism	62.5	5 of 8
66794	sulfate reduction	61.54	8 of 13
66794	lipid metabolism	61.29	19 of 31
66794	purine metabolism	60.64	57 of 94
66794	hydrogen production	60	3 of 5
66794	phenylacetate degradation (aerobic)	60	3 of 5
66794	alanine metabolism	58.62	17 of 29
66794	degradation of aromatic, nitrogen containing compounds	58.33	7 of 12
66794	methionine metabolism	57.69	15 of 26
66794	propanol degradation	57.14	4 of 7
66794	citric acid cycle	57.14	8 of 14
66794	polyamine pathway	56.52	13 of 23
66794	cysteine metabolism	55.56	10 of 18
66794	histidine metabolism	55.17	16 of 29
66794	leucine metabolism	53.85	7 of 13
66794	phosphatidylethanolamine bioynthesis	53.85	7 of 13
66794	degradation of sugar acids	52	13 of 25
66794	coenzyme A metabolism	50	2 of 4
66794	tryptophan metabolism	50	19 of 38
66794	tetrahydrofolate metabolism	50	7 of 14
66794	toluene degradation	50	2 of 4
66794	quinate degradation	50	1 of 2
66794	propionate fermentation	50	5 of 10
66794	glycolate and glyoxylate degradation	50	3 of 6
66794	CMP-KDO biosynthesis	50	2 of 4
66794	butanoate fermentation	50	2 of 4
66794	flavin biosynthesis	46.67	7 of 15
66794	urea cycle	46.15	6 of 13
66794	proline metabolism	45.45	5 of 11
66794	vitamin B6 metabolism	45.45	5 of 11
66794	metabolism of disaccharids	45.45	5 of 11
66794	pentose phosphate pathway	45.45	5 of 11
66794	lipid A biosynthesis	44.44	4 of 9
66794	reductive acetyl coenzyme A pathway	42.86	3 of 7
66794	ubiquinone biosynthesis	42.86	3 of 7
66794	isoprenoid biosynthesis	42.31	11 of 26
66794	arginine metabolism	41.67	10 of 24
66794	lysine metabolism	40.48	17 of 42
66794	arachidonate biosynthesis	40	2 of 5
66794	lipoate biosynthesis	40	2 of 5
66794	glycine metabolism	40	4 of 10
66794	4-hydroxyphenylacetate degradation	40	4 of 10
66794	factor 420 biosynthesis	40	2 of 5
66794	coenzyme M biosynthesis	40	4 of 10
66794	ascorbate metabolism	36.36	8 of 22
66794	octane oxidation	33.33	1 of 3
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	arachidonic acid metabolism	33.33	6 of 18
66794	selenocysteine biosynthesis	33.33	2 of 6
66794	3-phenylpropionate degradation	33.33	5 of 15
66794	IAA biosynthesis	33.33	1 of 3
66794	molybdenum cofactor biosynthesis	33.33	3 of 9
66794	phenylpropanoid biosynthesis	30.77	4 of 13
66794	glutathione metabolism	28.57	4 of 14
66794	tyrosine metabolism	28.57	4 of 14
66794	benzoyl-CoA degradation	28.57	2 of 7
66794	phenol degradation	25	5 of 20
66794	cyclohexanol degradation	25	1 of 4
66794	lactate fermentation	25	1 of 4
66794	alginate biosynthesis	25	1 of 4
66794	nitrate assimilation	22.22	2 of 9

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
17334	cecal content of obese mouse	Freising-Weihenstephan	Germany	DEU	Europe

Taxonmaps

69479

Global distribution of 16S sequence HM989805 (>99% sequence identity) for Acetatifactor muris subclade from Microbeatlas

Aquatic Samples	44
Soil Samples	62
Animal Samples	13400
Plant Samples	6
Total Samples	13512

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
17334	1	Risk group (German classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	NCBI tax ID	Score
66792	ASM2462332v1 assembly for Acetatifactor muris DSM 23669	contig	GCA_024623325	879566.30	879566	49.7

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
17334	Acetatifactor muris strain CT-m2 16S ribosomal RNA gene, partial sequence	HM989805	1376		879566

GC content

@ref	GC-content (mol%)	Method
17334	48.5	high performance liquid chromatography (HPLC)

Genome-based predictions

Predictions

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Acetatifactor muris DSM 23669
NCBI: GCA_024623325.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	72.95	no
125438	anaerobic	anaerobicⓘ	yes	85.76	yes
125438	aerobic	aerobicⓘ	no	91.66	no
125438	spore-forming	spore-formingⓘ	yes	57.99	no
125438	thermophilic	thermophileⓘ	no	88.84	yes
125438	flagellated	motile2+ⓘ	yes	62.47	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	Anti-diabetic effect of dicaffeoylquinic acids is associated with the modulation of gut microbiota and bile acid metabolism.	Huang Y, Xu W, Dong W, Chen G, Sun Y, Zeng X.	J Adv Res	10.1016/j.jare.2024.06.027	2025
	Lactobacillus acidophilus potentiates oncolytic virotherapy through modulating gut microbiota homeostasis in hepatocellular carcinoma.	Zhang J, Yang J, Luo J, Wu W, Luo H, Wei W, Lyu H, Wang Y, Yi H, Zhang Y, Fan Z, Lyu H, Kanakaveti VP, Qin B, Yuan P, Yang R, Zhang H, Zuo T, Felsher DW, Lee MH, Li K.	Nat Commun	10.1038/s41467-025-58407-z	2025
Phylogeny	Acetatifactor muris gen. nov., sp. nov., a novel bacterium isolated from the intestine of an obese mouse.	Pfeiffer N, Desmarchelier C, Blaut M, Daniel H, Haller D, Clavel T	Arch Microbiol	10.1007/s00203-012-0822-1	2012

References

#17334	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 23669
#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 )
#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 )
#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 )
#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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Acetatifactor muris (DSM 23669, ATCC BAA-2170, CT-m2)

Name and taxonomic classification

Morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Pathway annotation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_024623325

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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