Acetobacter estunensis (DSM 4493, ATCC 23753, CCUG 18130)

Name: Acetobacter estunensis (DSM 4493, ATCC 23753, CCUG 18130)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 10

Type strain

Culture col. no. DSM 4493 ATCC 23753 CCUG 18130 IAM 14359 LMG 1626 6 more

NCBI tax ID(s) 104097

Special Collections DSMZ CCUG JCM

Links

Acetobacter estunensis DSM 4493 is a mesophilic prokaryote that was isolated from cider making.

mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 92175

LMG 1626,ATCC 23753,CCUG 18130,NCIB 8935,DSM 4493,IAM 14359,NCIMB 8935,IFO13751,CCM 3613,NBRC 13751,BCRC 12953,CCRC 12953,JCM 21172

@ref 20215

Last LPSN update 2025-12-16 09:46:45

Domain Pseudomonadati

Phylum Pseudomonadota

Class Alphaproteobacteria

Order Rhodospirillales

Family Acetobacteraceae

Genus Acetobacter

Species Acetobacter estunensis

Full scientific name Acetobacter estunensis (Carr 1958) Lisdiyanti et al. 2001

Synonyms (2)

Acetobacter pasteurianus subsp. estunensis
"Acetobacter estunense"

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	95.5
125438	negative	96.333

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
1705	YPM MEDIUM (DSMZ Medium 360)		Medium recipe at MediaDive	Name: YPM MEDIUM (DSMZ Medium 360) Composition: Mannitol 25.0 g/l Agar 12.0 g/l Yeast extract 5.0 g/l Peptone 3.0 g/l Distilled water
1705	GLUCONOBACTER OXYDANS MEDIUM (DSMZ Medium 105)		Medium recipe at MediaDive	Name: GLUCONOBACTER OXYDANS MEDIUM (DSMZ Medium 105) Composition: Glucose 100.0 g/l CaCO3 20.0 g/l Agar 15.0 g/l Yeast extract 10.0 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
1705	positive	growth	28	mesophilic
67770	positive	growth	25	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	93.1

Spore formation

@ref	Spore formation	Confidence
125439		95.2
125438		94.388

Observation

67770

Observationquinones: Q-9

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Food production	#Fermented
#Engineered	#Industrial	-
#Engineered	#Food production	#Beverage

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
1705	cider making
67770	Apple juice or cider or associated equipment	Bristol	United Kingdom	GBR	Europe

Taxonmaps

69479

Global distribution of 16S sequence FM178867 (>99% sequence identity) for Lysinibacillus from Microbeatlas

Aquatic Samples	8
Soil Samples	122
Animal Samples	9
Plant Samples	3
Total Samples	142

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
1705	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	ASM1151694v1 assembly for Acetobacter estunensis LMG 1626	contig	GCA_011516945	104097.5	3003386530	104097	53.31

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
20218	Acetobacter estunensis 16S rRNA gene, strain CCM 3613	FM178867	1518	104097
20218	Acetobacter pasteurianus 16S rRNA, partial sequence	AB003970	155	438
20218	Acetobacter estunensis gene for 16S rRNA, partial sequence	AB032349	1446	104097
20218	Acetobacter estunensis strain LMG 1626 16S ribosomal RNA gene, partial sequence	JF793958	1350	104097
20218	Acetobacter estunensis gene for 16S rRNA, partial sequence, strain: NBRC 13751	AB680505	1413	104097
1705	Acetobacter estunensis 16S rRNA gene, strain LMG 1626	AJ419838	1440	104097

GC content

@ref	GC-content (mol%)	Method
67770	59.3	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 estunensis LMG 1626
NCBI: GCA_011516945

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	95.20	no
125439	motility	BacteriaNetⓘ	yes	77.80	no
125439	gram_stain	BacteriaNetⓘ	negative	95.50	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	93.10	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Acetobacter estunensis strain LMG 1626
PATRIC: 104097.5

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	96.33	no
125438	anaerobic	anaerobicⓘ	no	91.39	no
125438	spore-forming	spore-formingⓘ	no	94.39	no
125438	aerobic	aerobicⓘ	yes	77.78	no
125438	thermophilic	thermophileⓘ	no	97.19	yes
125438	flagellated	motile2+ⓘ	yes	58.77	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Serologic reactivity to the emerging pathogen Granulibacter bethesdensis.	Greenberg DE, Shoffner AR, Marshall-Batty KR, Arora K, Zhao M, Martin R, Ding L, Hammer CH, Shaw PA, Kuhns DB, Malech HL, Gallin JI, Zarember KA, Holland SM.	J Infect Dis	10.1093/infdis/jis431	2012
	Antimicrobial Resistance of Acetobacter and Komagataeibacter Species Originating from Vinegars.	Cepec E, Trcek J.	Int J Environ Res Public Health	10.3390/ijerph19010463	2022
	Molecular Detection of Acetobacter aceti and Acetobacter pasteurianus at Different Stages of Wine Production.	Mitina I, Grajdieru C, Sturza R, Mitin V, Rubtov S, Balanuta A, Behta E, Deaghileva A, Inci F, Haciosmanoglu N, Zgardan D.	Foods	10.3390/foods14010132	2025
Genetics	Microbial Diversity and Characteristics of Kombucha as Revealed by Metagenomic and Physicochemical Analysis.	Kaashyap M, Cohen M, Mantri N.	Nutrients	10.3390/nu13124446	2021
	Molecular discrimination and identification of Acetobacter genus based on the partial heat shock protein 60 gene (hsp60) sequences	Huang C, Chang M, Huang L, Chua W.	Journal of the Science of Food and Agriculture.		2014
Phylogeny	Molecular discrimination and identification of Acetobacter genus based on the partial heat shock protein 60 gene (hsp60) sequences.	Huang CH, Chang MT, Huang L, Chua WS.	J Sci Food Agric	10.1002/jsfa.6231	2014
	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
Enzymology	A novel bacterium associated with lymphadenitis in a patient with chronic granulomatous disease.	Greenberg DE, Ding L, Zelazny AM, Stock F, Wong A, Anderson VL, Miller G, Kleiner DE, Tenorio AR, Brinster L, Dorward DW, Murray PR, Holland SM.	PLoS Pathog	10.1371/journal.ppat.0020028	2006
Phylogeny	Novel acetic acid bacteria from cider fermentations: Acetobacter conturbans sp. nov. and Acetobacter fallax sp. nov.	Sombolestani AS, Cleenwerck I, Cnockaert M, Borremans W, Wieme AD, De Vuyst L, Vandamme P.	Int J Syst Evol Microbiol	10.1099/ijsem.0.004511	2020
Phylogeny	Acetobacter sicerae sp. nov., isolated from cider and kefir, and identification of species of the genus Acetobacter by dnaK, groEL and rpoB sequence analysis.	Li L, Wieme A, Spitaels F, Balzarini T, Nunes OC, Manaia CM, Van Landschoot A, De Vuyst L, Cleenwerck I, Vandamme P.	Int J Syst Evol Microbiol	10.1099/ijs.0.058354-0	2014
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
	Systematic study of the genus Acetobacter with descriptions of Acetobacter indonesiensis sp. nov., Acetobacter tropicalis sp. nov., Acetobacter orleanensis (Henneberg 1906) comb. nov., Acetobacter lovaniensis (Frateur 1950) comb. nov., and Acetobacter estunensis (Carr 1958) comb. nov.	Lisdiyanti P, Kawasaki H, Seki T, Yamada Y, Uchimura T, Komagata K.	J Gen Appl Microbiol	10.2323/jgam.46.147	2000

References

#1705	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 4493
#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 )
#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 .
#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 estunensis (DSM 4493, ATCC 23753, CCUG 18130)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Observation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_011516945

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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