Acetobacter pasteurianus (DSM 2347, ATCC 12874, NCIB 8618)

Name: Acetobacter pasteurianus (DSM 2347, ATCC 12874, NCIB 8618)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 24

Type strain

Strain Designation L. 1374

Culture col. no. DSM 2347 ATCC 12874 NCIB 8618 L. 1374 IFO 13755 12 more

NCBI tax ID(s) 104098

Special Collections DSMZ CCUG JCM

History <- NCIB <- W. Verhoeven, L. 1374 NRIC 0475 <-- TUA 845B <-- IFO 13755 <-- J. De Ley <-- NCIB 8618 <-- W. Verhoeven L1374.

Links

Acetobacter pasteurianus L. 1374 is a bacterium that was isolated from Ditch water.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 14600

LMG 1635,ATCC 12874,CCUG 18131,DSM 2347,NCIB 8618,NCIMB 8618,IFO13755,CCM 3615,ICMP 8609,LMD 88.49,LMD 89.9,LMD 29.4,NCCB 88049,NCCB 89009,NBRC 13755,BCRC 12954,CCRC 12954,CBMAI 517,NCIM 2312,JCM 25077,BCC 40087,TBRC 725

@ref 20215

Last LPSN update 2026-02-09 11:17:46

Domain Bacteria

Phylum Pseudomonadota

Class Alphaproteobacteria

Order Rhodospirillales

Family Acetobacteraceae

Genus Acetobacter

Species Acetobacter pasteurianus

Full scientific name Acetobacter pasteurianus (Hansen 1879) Beijerinck and Folpmers 1916 (Approved Lists 1980)

Synonyms (9)

Acetobacter pasteurianus subsp. ascendens
"Acetobacter paradoxus"
"Acetobacter paradoxum"
"Bacterium ascendens"
Acetobacter ascendens
Acetobacter pasteurianus subsp. paradoxus
Acetobacter ascendens
"Mycoderma pasteurianum"
Acetobacter peroxydans

BacDive ID	Other strains from **Acetobacter pasteurianus** (20)	Type strain
4	A. pasteurianus 190, DSM 3509, ATCC 33445, LMD 22.1, JCM ... (type strain)
5	A. pasteurianus Asai A-5, BU 121, Porges 38, A4, DSM 46617, ...
6	A. pasteurianus BU 117, DSM 46618, ATCC 9433, CCM 1774, IFO ...
7	A. pasteurianus BU 343, DSM 46619, ATCC 6439, CCM 1771, IFO ...
25	A. pasteurianus B 4110, DSM 2006, ATCC 838, IAM 14432, NCIB ...
23459	A. pasteurianus AB0220, DSM 25273
135986	A. pasteurianus CIP 102999, IAM 1804, JCM 20270
135987	A. pasteurianus CIP 103000, IAM 1808, IFO 3188, JCM 20273, ...
135988	A. pasteurianus A35, CIP 103001, IAM 1811, IFO 3299, JCM ...
136130	A. pasteurianus CIP 102721, IAM 1826, JCM 20287
140649	A. pasteurianus NBRC 105184, IFO 3283-01
162841	A. pasteurianus JCM 20272, IAM 1807
162906	A. pasteurianus JCM 20384, ATCC 9322, IAM 12073, LMG 1604, ...
163093	A. pasteurianus JCM 21167, ATCC 23758, IAM 14353, LMG 1598, ...
163094	A. pasteurianus JCM 21168, ATCC 23759, IAM 14354, LMG 1601, ...
163095	A. pasteurianus JCM 21171, ATCC 12873, IAM 14358, LMG 1612, ...
163096	A. pasteurianus JCM 21173, ATCC 23756, IAM 14360, LMG 1628, ...
163109	A. pasteurianus JCM 21216, ATCC 9323, IAM 14433, LMD 46.3, ...
163110	A. pasteurianus JCM 21217, ATCC 12879, IAM 14434, LMD 75.2, ...
163301	A. pasteurianus JCM 25075, IFO 13754, NBRC 13754, NCIMB 9015

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	95.86
125439	negative	95.5

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
745	ACETOBACTER PEROXYDANS MEDIUM (DSMZ Medium 254)		Medium recipe at MediaDive	Name: ACETOBACTER PEROXYDANS MEDIUM (DSMZ Medium 254) Composition: Agar 15.0 g/l Malt extract 15.0 g/l Yeast extract 5.0 g/l Ethanol Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
745	positive	growth	26
67770	positive	growth	30

Physiology and metabolism

Spore formation

@ref	Spore formation	Confidence
125438		92.881

Observation

67770

Observationquinones: Q-9

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	methylglyoxal degradation	100	5 of 5
66794	ppGpp biosynthesis	100	4 of 4
66794	adipate degradation	100	2 of 2
66794	suberin monomers biosynthesis	100	2 of 2
66794	ceramide biosynthesis	100	1 of 1
66794	taurine degradation	100	1 of 1
66794	coenzyme A metabolism	100	4 of 4
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	tetrahydrofolate metabolism	100	14 of 14
66794	folate polyglutamylation	100	1 of 1
66794	biotin biosynthesis	100	4 of 4
66794	ethanol fermentation	100	2 of 2
66794	palmitate biosynthesis	95.45	21 of 22
66794	aspartate and asparagine metabolism	88.89	8 of 9
66794	molybdenum cofactor biosynthesis	88.89	8 of 9
66794	chorismate metabolism	88.89	8 of 9
66794	valine metabolism	88.89	8 of 9
66794	lipid A biosynthesis	88.89	8 of 9
66794	vitamin B12 metabolism	88.24	30 of 34
66794	photosynthesis	85.71	12 of 14
66794	reductive acetyl coenzyme A pathway	85.71	6 of 7
66794	glutamate and glutamine metabolism	85.71	24 of 28
66794	vitamin B1 metabolism	84.62	11 of 13
66794	methionine metabolism	84.62	22 of 26
66794	NAD metabolism	83.33	15 of 18
66794	pentose phosphate pathway	81.82	9 of 11
66794	hydrogen production	80	4 of 5
66794	peptidoglycan biosynthesis	80	12 of 15
66794	threonine metabolism	80	8 of 10
66794	propionate fermentation	80	8 of 10
66794	citric acid cycle	78.57	11 of 14
66794	allantoin degradation	77.78	7 of 9
66794	serine metabolism	77.78	7 of 9
66794	phosphatidylethanolamine bioynthesis	76.92	10 of 13
66794	phenylalanine metabolism	76.92	10 of 13
66794	alanine metabolism	75.86	22 of 29
66794	acetate fermentation	75	3 of 4
66794	C4 and CAM-carbon fixation	75	6 of 8
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	75	6 of 8
66794	CMP-KDO biosynthesis	75	3 of 4
66794	sulfopterin metabolism	75	3 of 4
66794	ubiquinone biosynthesis	71.43	5 of 7
66794	heme metabolism	71.43	10 of 14
66794	propanol degradation	71.43	5 of 7
66794	cardiolipin biosynthesis	71.43	5 of 7
66794	purine metabolism	71.28	67 of 94
66794	Entner Doudoroff pathway	70	7 of 10
66794	urea cycle	69.23	9 of 13
66794	leucine metabolism	69.23	9 of 13
66794	methane metabolism	66.67	2 of 3
66794	CO2 fixation in Crenarchaeota	66.67	6 of 9
66794	glycolate and glyoxylate degradation	66.67	4 of 6
66794	arginine metabolism	66.67	16 of 24
66794	acetoin degradation	66.67	2 of 3
66794	formaldehyde oxidation	66.67	2 of 3
66794	L-lactaldehyde degradation	66.67	2 of 3
66794	octane oxidation	66.67	2 of 3
66794	d-mannose degradation	66.67	6 of 9
66794	cyanate degradation	66.67	2 of 3
66794	vitamin B6 metabolism	63.64	7 of 11
66794	proline metabolism	63.64	7 of 11
66794	isoleucine metabolism	62.5	5 of 8
66794	ketogluconate metabolism	62.5	5 of 8
66794	cysteine metabolism	61.11	11 of 18
66794	tryptophan metabolism	60.53	23 of 38
66794	flavin biosynthesis	60	9 of 15
66794	factor 420 biosynthesis	60	3 of 5
66794	cellulose degradation	60	3 of 5
66794	lipid metabolism	58.06	18 of 31
66794	isoprenoid biosynthesis	57.69	15 of 26
66794	glutathione metabolism	57.14	8 of 14
66794	tyrosine metabolism	57.14	8 of 14
66794	pyrimidine metabolism	55.56	25 of 45
66794	non-pathway related	55.26	21 of 38
66794	histidine metabolism	55.17	16 of 29
66794	oxidative phosphorylation	54.95	50 of 91
66794	lysine metabolism	54.76	23 of 42
66794	sulfate reduction	53.85	7 of 13
66794	dTDPLrhamnose biosynthesis	50	4 of 8
66794	myo-inositol biosynthesis	50	5 of 10
66794	mannosylglycerate biosynthesis	50	1 of 2
66794	aminopropanol phosphate biosynthesis	50	1 of 2
66794	kanosamine biosynthesis II	50	1 of 2
66794	quinate degradation	50	1 of 2
66794	butanoate fermentation	50	2 of 4
66794	gluconeogenesis	50	4 of 8
66794	cis-vaccenate biosynthesis	50	1 of 2
66794	degradation of aromatic, nitrogen containing compounds	50	6 of 12
66794	glycogen biosynthesis	50	2 of 4
66794	glycolysis	47.06	8 of 17
66794	metabolism of disaccharids	45.45	5 of 11
66794	cholesterol biosynthesis	45.45	5 of 11
66794	O-antigen biosynthesis	40	2 of 5
66794	lipoate biosynthesis	40	2 of 5
66794	glycine metabolism	40	4 of 10
66794	androgen and estrogen metabolism	37.5	6 of 16
66794	polyamine pathway	34.78	8 of 23
66794	(5R)-carbapenem carboxylate biosynthesis	33.33	1 of 3
66794	sulfoquinovose degradation	33.33	1 of 3
66794	pantothenate biosynthesis	33.33	2 of 6
66794	IAA biosynthesis	33.33	1 of 3
66794	selenocysteine biosynthesis	33.33	2 of 6
66794	nitrate assimilation	33.33	3 of 9
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	ascorbate metabolism	31.82	7 of 22
66794	degradation of sugar alcohols	31.25	5 of 16
66794	coenzyme M biosynthesis	30	3 of 10
66794	bile acid biosynthesis, neutral pathway	29.41	5 of 17
66794	degradation of sugar acids	28	7 of 25
66794	arachidonic acid metabolism	27.78	5 of 18
66794	3-phenylpropionate degradation	26.67	4 of 15
66794	cyclohexanol degradation	25	1 of 4
66794	toluene degradation	25	1 of 4
66794	methanogenesis from CO2	25	3 of 12
66794	phenol degradation	25	5 of 20
66794	catecholamine biosynthesis	25	1 of 4
66794	carotenoid biosynthesis	22.73	5 of 22
66794	degradation of hexoses	22.22	4 of 18
66794	4-hydroxymandelate degradation	22.22	2 of 9
66794	degradation of pentoses	21.43	6 of 28

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
67770	Ditch water	Netherlands	NLD	Europe

Taxonmaps

69479

Global distribution of 16S sequence AB680509 (>99% sequence identity) for Acetobacter from Microbeatlas

Aquatic Samples	569
Soil Samples	222
Animal Samples	1231
Plant Samples	263
Total Samples	2285

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
745	1	Risk group (German classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM1151674v1 assembly for Acetobacter peroxydans LMG 1635	contig	GCA_011516745	104098.11		104098	69.34
67770	ASM653934v1 assembly for Acetobacter peroxydans NBRC 13755	contig	GCA_006539345	104098.9	8110913138	104098	69.18
124043	ASM2599549v1 assembly for Acetobacter peroxydans NRIC 0475	contig	GCA_025995495	104098.24		104098	66.61
66792	ASM812512v1 assembly for Acetobacter peroxydans ATCC 12874	scaffold	GCA_008125125	104098.10	2596583685	104098	50.6
124043	ASM2599551v1 assembly for Acetobacter peroxydans NBRC 13755	contig	GCA_025995515	1307915.3	8119179762	1307915	13.21

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
20218	Acetobacter pasteurianus strain DSM 2347 16S ribosomal RNA gene, partial sequence	GQ240639	1326	438
67770	Acetobacter peroxydans gene for 16S rRNA, partial sequence	AB032352	1335	104098
67770	Acetobacter peroxydans gene for 16S rRNA, partial sequence, strain: JCM 25077	AB665082	1406	104098
67770	Acetobacter peroxydans gene for 16S rRNA, partial sequence, strain: NBRC 13755	AB680509	1409	104098
67770	Acetobacter peroxydans strain LMG 1635 16S ribosomal RNA gene, partial sequence	JF793969	1352	104098
124043	Acetobacter peroxydans gene for 16S ribosomal RNA, partial sequence, strain: NRIC 0475.	LC108745	1478	104098

GC content

@ref	GC-content (mol%)	Method
745	62.5
67770	60.3	high performance liquid chromatography (HPLC)
67770	59.7	high performance liquid chromatography (HPLC)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Acetobacter peroxydans ATCC 12874
NCBI: GCA_008125125

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	aerobe	72.90	no
125439	gram_stain	BacteriaNetⓘ	negative	95.50	no
125439	motility	BacteriaNetⓘ	yes	86.30	no
125439	spore_formation	BacteriaNetⓘ	no	73.50	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Acetobacter peroxydans ATCC 12874
NCBI: GCA_008125125.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	95.86	no
125438	anaerobic	anaerobicⓘ	no	85.57	no
125438	aerobic	aerobicⓘ	yes	72.95	no
125438	spore-forming	spore-formingⓘ	no	92.88	no
125438	thermophilic	thermophileⓘ	no	94.84	no
125438	flagellated	motile2+ⓘ	yes	57.65	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	Analysis of 1,000+ Type-Strain Genomes Substantially Improves Taxonomic Classification of Alphaproteobacteria.	Hordt A, Lopez MG, Meier-Kolthoff JP, Schleuning M, Weinhold LM, Tindall BJ, Gronow S, Kyrpides NC, Woyke T, Goker M.	Front Microbiol	10.3389/fmicb.2020.00468	2020
Enzymology	Cloning and characterization of the Zymobacter palmae pyruvate decarboxylase gene (pdc) and comparison to bacterial homologues.	Raj KC, Talarico LA, Ingram LO, Maupin-Furlow JA.	Appl Environ Microbiol	10.1128/aem.68.6.2869-2876.2002	2002
Genetics	Metagenomics and Metagenome-Assembled Genomes: Analysis of Cupei from Sichuan Baoning Vinegar, One of the Four Traditional Renowned Vinegars in China.	Wu J, Zhao N, Li Q, Zhao K, Tu M, Li J, Hu K, Chen S, Liu S, Liu A.	Foods	10.3390/foods14030398	2025
	Comprehensive deciphering prophages in genus Acetobacter on the ecology, genomic features, toxin-antitoxin system, and linkage with CRISPR-Cas system.	Qian C, Ma J, Liang J, Zhang L, Liang X.	Front Microbiol	10.3389/fmicb.2022.951030	2022
Metabolism	Bacterial Ecology of Fermented Cucumber Rising pH Spoilage as Determined by Nonculture-Based Methods.	Medina E, Perez-Diaz IM, Breidt F, Hayes J, Franco W, Butz N, Azcarate-Peril MA.	J Food Sci	10.1111/1750-3841.13158	2016
Phylogeny	Species diversity, community dynamics, and metabolite kinetics of the microbiota associated with traditional ecuadorian spontaneous cocoa bean fermentations.	Papalexandratou Z, Falony G, Romanens E, Jimenez JC, Amores F, Daniel HM, De Vuyst L.	Appl Environ Microbiol	10.1128/aem.05523-11	2011
	Native microbial colonization of Drosophila melanogaster and its use as a model of Enterococcus faecalis pathogenesis.	Cox CR, Gilmore MS.	Infect Immun	10.1128/iai.01496-06	2007
	The Low Biomass Yields of the Acetic Acid Bacterium Acetobacter pasteurianus Are Due to a Low Stoichiometry of Respiration-Coupled Proton Translocation.	Luttik M, Van Spanning R, Schipper D, Van Dijken JP, Pronk JT.	Appl Environ Microbiol	10.1128/aem.63.9.3345-3351.1997	1997
Enzymology	Characterization of the Enantioselective Properties of the Quinohemoprotein Alcohol Dehydrogenase of Acetobacter pasteurianus LMG 1635. 1. Different Enantiomeric Ratios of Whole Cells and Purified Enzyme in the Kinetic Resolution of Racemic Glycidol.	Machado SS, Wandel U, Jongejan JA, Straathof AJ, Duine JA	Biosci Biotechnol Biochem	10.1271/bbb.63.10	1999
Metabolism	Factors relevant to the production of (R)-(+)-glycidol (2,3-epoxy-1-propanol) from racemic glycidol by enantioselective oxidation with Acetobacter pasteurianus ATCC 12874.	Geerlof A, Jongejan JA, van Dooren TJ, Racemakers-Franken PC, van den Tweel WJ, Duine JA	Enzyme Microb Technol	10.1016/0141-0229(94)90143-0	1994
Phylogeny	Re-examination of the genus Acetobacter, with descriptions of Acetobacter cerevisiae sp. nov. and Acetobacter malorum sp. nov.	Cleenwerck I, Vandemeulebroecke K, Janssens D, Swings J.	Int J Syst Evol Microbiol	10.1099/00207713-52-5-1551	2002

References

#745	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 2347
#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 )
#20218	Verslyppe, B., De Smet, W., De Baets, B., De Vos, P., Dawyndt P.: StrainInfo introduces electronic passports for microorganisms.. Syst Appl Microbiol. 37: 42 - 50 2014 ( DOI 10.1016/j.syapm.2013.11.002 , PubMed 24321274 )
#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 )
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#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 .
#124043	Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy .
#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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Acetobacter pasteurianus (DSM 2347, ATCC 12874, NCIB 8618)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Spore formation

Observation

Pathway annotation

Isolation, sampling and environmental information

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_011516745

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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