Acetobacterium malicum subsp. dehalogenans (DSM 11527, MC, NBRC 117038)

Name: Acetobacterium malicum subsp. dehalogenans (DSM 11527, MC, NBRC 117038)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 5410

Type strain

Strain Designation MC

Culture col. no. DSM 11527 MC NBRC 117038

NCBI tax ID(s) 1068975 82116

Special Collections DSMZ

History DSMZ <- G. Diekert, Universität Stuttgart, Institut für Mikrobiologie, Stuttgart, Germany; MC (Acetobacterium dehalogenans) <- G. Diekert; {1990}

Links

Acetobacterium malicum subsp. dehalogenans MC is an anaerobe bacterium that was isolated from sewage digester sludge.

anaerobe genome sequence Bacteria

Name and taxonomic classification

SI-ID 49131

DSM 11527

@ref 20215

Last LPSN update 2026-05-29 08:26:10

Domain Bacteria

Phylum Bacillota

Class Clostridia

Order Eubacteriales

Family Eubacteriaceae

Genus Acetobacterium

Species Acetobacterium malicum subsp. dehalogenans

Full scientific name Acetobacterium malicum subsp. dehalogenans Spring et al. 2025

Morphology

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
4402	ACETOBACTERIUM DEHALOGENANS MEDIUM (DSMZ Medium 135b)		Medium recipe at MediaDive	Name: ACETOBACTERIUM DEHALOGENANS MEDIUM (DSMZ Medium 135b) Composition: Yeast extract 1.98807 g/l Na2CO3 1.49105 g/l NH4Cl 0.994036 g/l Syringic acid 0.894632 g/l L-Cysteine HCl x H2O 0.497018 g/l K2HPO4 0.447316 g/l KH2PO4 0.328032 g/l MgSO4 x 7 H2O 0.0596421 g/l Nitrilotriacetic acid 0.0298211 g/l NaCl 0.0198807 g/l MnSO4 x H2O 0.00994036 g/l ZnSO4 x 7 H2O 0.00357853 g/l CoSO4 x 7 H2O 0.00357853 g/l CaCl2 x 2 H2O 0.00198807 g/l FeSO4 x 7 H2O 0.00198807 g/l NiCl2 x 6 H2O 0.000596421 g/l Sodium resazurin 0.000497018 g/l AlK(SO4)2 x 12 H2O 0.000397614 g/l CuSO4 x 5 H2O 0.000198807 g/l H3BO3 0.000198807 g/l Na2MoO4 x 2 H2O 0.000198807 g/l Pyridoxine hydrochloride 9.94036e-05 g/l p-Aminobenzoic acid 4.97018e-05 g/l (DL)-alpha-Lipoic acid 4.97018e-05 g/l Calcium D-(+)-pantothenate 4.97018e-05 g/l Nicotinic acid 4.97018e-05 g/l Riboflavin 4.97018e-05 g/l Thiamine HCl 4.97018e-05 g/l Biotin 1.98807e-05 g/l Folic acid 1.98807e-05 g/l Na2WO4 x 2 H2O 7.95229e-06 g/l Na2SeO3 x 5 H2O 5.96421e-06 g/l Vitamin B12 9.94036e-07 g/l Distilled water NaOH

Culture temp

@ref	Growth	Type	Temperature (°C)
4402	positive	growth	25

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
4402	anaerobe
125439	facultative anaerobe	92.492

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Biodegradation	-
#Engineered	#Waste	#Sewage sludge

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
4402	sewage digester sludge	Stuttgart	Germany	DEU	Europe

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM47266v1 assembly for Acetobacterium malicum subsp. dehalogenans DSM 11527	scaffold	GCA_000472665	1068975.11	2513237154	1068975	63.09

GC content

@ref	GC-content (mol%)	Method
4402	43.8	sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM47266v1 assembly for Acetobacterium malicum subsp. dehalogenans DSM 11527
BV-BRC: 1068975.11

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	92.49	no
125439	gram_stain	BacteriaNetⓘ	variable	75.66	no
125439	motility	BacteriaNetⓘ	yes	62.99	no
125439	spore_formation	BacteriaNetⓘ	yes	61.67	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Acetobacterium dehalogenans DSM 11527 DSM 11527
NCBI: GCA_000472665.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	59.85	no
125438	anaerobic	anaerobicⓘ	yes	89.27	yes
125438	aerobic	aerobicⓘ	no	93.35	yes
125438	spore-forming	spore-formingⓘ	yes	53.82	no
125438	thermophilic	thermophileⓘ	no	89.12	no
125438	flagellated	motile2+ⓘ	yes	64.78	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Widespread Bathyarchaeia encode a novel methyltransferase utilizing lignin-derived aromatics.	Yu T, Hu H, Zeng X, Wang Y, Pan D, Deng L, Liang L, Hou J, Wang F.	mLife	10.1002/mlf2.12082	2023
	Metaproteomics reveals methyltransferases implicated in dichloromethane and glycine betaine fermentation by 'Candidatus Formimonas warabiya' strain DCMF.	Holland SI, Vazquez-Campos X, Ertan H, Edwards RJ, Manefield MJ, Lee M.	Front Microbiol	10.3389/fmicb.2022.1035247	2022
Enzymology	Reduction, evolutionary pattern and positive selection of genes encoding formate dehydrogenase in Wood-Ljungdahl pathway of gastrointestinal acetogens suggests their adaptation to formate-rich habitats.	Yao Y, Fu B, Han D, Zhang Y, Wei Z, Liu H.	Environ Microbiol Rep	10.1111/1758-2229.13129	2023
	Energy conservation under extreme energy limitation: the role of cytochromes and quinones in acetogenic bacteria.	Rosenbaum FP, Muller V.	Extremophiles	10.1007/s00792-021-01241-0	2021
Genetics	Crude Oil Degradation in Temperatures Below the Freezing Point by Bacteria from Hydrocarbon-Contaminated Arctic Soils and the Genome Analysis of Sphingomonas sp. AR_OL41.	Semenova EM, Tourova TP, Babich TL, Logvinova EY, Sokolova DS, Loiko NG, Myazin VA, Korneykova MV, Mardanov AV, Nazina TN.	Microorganisms	10.3390/microorganisms12010079	2023
Genetics	Antarctic Sphingomonas sp. So64.6b showed evolutive divergence within its genus, including new biosynthetic gene clusters.	Nunez-Montero K, Rojas-Villalta D, Barrientos L.	Front Microbiol	10.3389/fmicb.2022.1007225	2022
Metabolism	Glycine betaine as a direct substrate for methanogens (Methanococcoides spp.).	Watkins AJ, Roussel EG, Parkes RJ, Sass H.	Appl Environ Microbiol	10.1128/aem.03076-13	2014
Metabolism	Using gas mixtures of CO, CO₂ and H₂ as microbial substrates: the do's and don'ts of successful technology transfer from laboratory to production scale.	Takors R, Kopf M, Mampel J, Bluemke W, Blombach B, Eikmanns B, Bengelsdorf FR, Weuster-Botz D, Durre P.	Microb Biotechnol	10.1111/1751-7915.13270	2018
Metabolism	Choline and N,N-dimethylethanolamine as direct substrates for methanogens.	Watkins AJ, Roussel EG, Webster G, Parkes RJ, Sass H.	Appl Environ Microbiol	10.1128/aem.01941-12	2012
Metabolism	Complex coupled metabolic and prokaryotic community responses to increasing temperatures in anaerobic marine sediments: critical temperatures and substrate changes.	Roussel EG, Cragg BA, Webster G, Sass H, Tang X, Williams AS, Gorra R, Weightman AJ, Parkes RJ.	FEMS Microbiol Ecol	10.1093/femsec/fiv084	2015
	Archaeal community diversity and abundance changes along a natural salinity gradient in estuarine sediments.	Webster G, O'Sullivan LA, Meng Y, Williams AS, Sass AM, Watkins AJ, Parkes RJ, Weightman AJ.	FEMS Microbiol Ecol	10.1093/femsec/fiu025	2015
Phylogeny	Unexpected 16S rRNA heterogeneity in 'Acetobacterium dehalogenans' and reclassification as Acetobacterium malicum subsp. dehalogenans subsp. nov.	Spring S, Wolf J, Kirstein S, Sproer C, Bunk B.	Int J Syst Evol Microbiol	10.1099/ijsem.0.006783	2025
Phylogeny	Sphingomonas qilianensis sp. nov., Isolated from Surface Soil in the Permafrost Region of Qilian Mountains, China.	Piao AL, Feng XM, Nogi Y, Han L, Li Y, Lv J.	Curr Microbiol	10.1007/s00284-015-0957-9	2016
	Acetate Degradation at Low pH by the Moderately Acidophilic Sulfate Reducer Acididesulfobacillus acetoxydans gen. nov. sp. nov.	Sanchez-Andrea I, van der Graaf CM, Hornung B, Bale NJ, Jarzembowska M, Sousa DZ, Rijpstra WIC, Sinninghe Damste JS, Stams AJM.	Front Microbiol	10.3389/fmicb.2022.816605	2022

References

#4402	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 11527
#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) .
#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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Acetobacterium malicum subsp. dehalogenans (DSM 11527, MC, NBRC 117038)

Name and taxonomic classification

Morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_000472665

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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