Acetobacter lovaniensis (DSM 4491, ATCC 12875, CCUG 18127)

Name: Acetobacter lovaniensis (DSM 4491, ATCC 12875, CCUG 18127)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 9

Type strain

Culture col. no. DSM 4491 ATCC 12875 CCUG 18127 IMET 10734 JCM 17121 9 more

NCBI tax ID(s) 104100

Special Collections DSMZ CCUG JCM

History DSMZ <- NCIMB <- W. Verhoeven <- J. Frateur JCM <-- DSM 4491 <-- NCIMB 8620 <-- W. Verhoeven L 1024 <-- J. Frateur.

Links

Acetobacter lovaniensis DSM 4491 is a bacterium that was isolated from soil.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 92678

LMG 1579,ATCC 12875,CCUG 18127,IMET 10734,LMG 1617,NCIB 8620,DSM 4491,NCIMB 8620,DSM46218,IFO13753,CCM 3606,ICMP 8610,LMD 31.2,NCCB 31002,NBRC 13753,JCM 17121

@ref 20215

Last LPSN update 2026-05-29 08:24:55

Domain Bacteria

Phylum Pseudomonadota

Class Alphaproteobacteria

Order Rhodospirillales

Family Acetobacteraceae

Genus Acetobacter

Species Acetobacter lovaniensis

Full scientific name Acetobacter lovaniensis (Frateur 1950) Lisdiyanti et al. 2001

Synonyms (2)

Acetobacter pasteurianus subsp. lovaniensis
"Acetobacter lovaniense"

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	97.333
125439	negative	96.306

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
1703	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
1703	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)
1703	positive	growth	28
67770	positive	growth	28

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	facultative anaerobe	90.031

Spore formation

@ref	Spore formation	Confidence
125439		99.311

Observation

67770

Observationquinones: Q-9

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Terrestrial	#Soil

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
1703	soil	Bequevoord	Belgium	BEL	Europe
67770	Sewage on soil

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
1703	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
66792	ASM1420763v1 assembly for Acetobacter lovaniensis DSM 4491	scaffold	GCA_014207635	104100.6	2861688124	104100	64.38
67770	ASM1151687v1 assembly for Acetobacter lovaniensis LMG 1617	contig	GCA_011516875	104100.5	8055686949	104100	62.25
124043	ASM3953940v1 assembly for Acetobacter lovaniensis JCM 17121	scaffold	GCA_039539405			104100	54.69

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
20218	Acetobacter pasteurianus 16S rRNA gene, strain CCM 3606	FM178869	1511	438
20218	Acetobacter lovaniensis gene for 16S rRNA, partial sequence, strain: JCM 17121	AB665079	1412	104100
20218	Acetobacter lovaniensis 16S rRNA gene, strain LMG 1617	AJ419837	1442	104100
20218	Acetobacter lovaniensis gene for 16S rRNA, partial sequence, strain: NBRC 13753	AB680507	1415	104100
1703	Acetobacter lovaniensis gene for 16S rRNA, partial sequence	AB032351	1443	104100
124043	Acetobacter lovaniensis strain NBRC 13753 16S ribosomal RNA gene, partial sequence.	PQ845408	781	104100

GC content

@ref	GC-content (mol%)	Method
67770	58.6	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: ASM1420763v1 assembly for Acetobacter lovaniensis DSM 4491
BV-BRC: 104100.6

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	90.03	no
125439	gram_stain	BacteriaNetⓘ	negative	96.31	no
125439	motility	BacteriaNetⓘ	yes	72.50	no
125439	spore_formation	BacteriaNetⓘ	no	99.31	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Acetobacter lovaniensis DSM 4491
NCBI: GCA_014207635.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	97.33	no
125438	anaerobic	anaerobicⓘ	no	90.61	no
125438	aerobic	aerobicⓘ	yes	73.83	no
125438	spore-forming	spore-formingⓘ	no	88.94	no
125438	thermophilic	thermophileⓘ	no	96.69	no
125438	flagellated	motile2+ⓘ	yes	61.98	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Phylogenetic characterization of two novel commensal bacteria involved with innate immune homeostasis in Drosophila melanogaster.	Roh SW, Nam YD, Chang HW, Kim KH, Kim MS, Ryu JH, Kim SH, Lee WJ, Bae JW.	Appl Environ Microbiol	10.1128/aem.00301-08	2008
	Screening and identifying microorganisms with feruloyl esterase activity in Chinese sesame-flavour baijiu fermentation materials (Jiupei)	Wu Z, Yang S, Xu L, Li H, Sun J, Xu Y, Huang M, Sun B.	J Food Compost Anal		2022
	Changes in Microbiota During Multiple Fermentation of Kefir in Different Sugar Solutions Revealed by High-Throughput Sequencing.	Gamba RR, Koyanagi T, Pelaez AL, De Antoni G, Enomoto T.	Curr Microbiol	10.1007/s00284-021-02501-0	2021
	Exploring the link between flavor compounds and bacterial community structure of traditional fermented Jiang-shui in Gansu province.	Yang W, Jia Z, Zhang Y, Qiao H, Zhang W, Wen P, Zhang Z.	Food Chem X	10.1016/j.fochx.2025.103129	2025
	Effect of Milk and Water Kefir Grains on the Nutritional Profile and Antioxidant Capacity of Fermented Almond Milk.	La Torre C, Caputo P, Fazio A.	Molecules	10.3390/molecules30030698	2025
Biotechnology	The evaluation of kefir pure culture starter: Liquid-core capsule entrapping microorganisms isolated from kefir grains.	Wang L, Zhong H, Zhong H, Liu K, Guo A, Qi X, Qi X, Cai M.	Food Sci Technol Int	10.1177/1082013216628311	2016
	Identification of the Microbiota in Coconut Water, Kefir, Coconut Water Kefir and Coconut Water Kefir-Fermented Sourdough Using Culture-Dependent Techniques and Illumina-MiSeq Sequencing.	Limbad M, Gutierrez Maddox N, Hamid N, Kantono K, Higgins C.	Microorganisms	10.3390/microorganisms12050919	2024
Metabolism	Molecular identification and physiological characterization of yeasts, lactic acid bacteria and acetic acid bacteria isolated from heap and box cocoa bean fermentations in West Africa.	Visintin S, Alessandria V, Valente A, Dolci P, Cocolin L.	Int J Food Microbiol	10.1016/j.ijfoodmicro.2015.09.004	2016
Enzymology	Bacteria and yeast microbiota in milk kefir grains from different Italian regions.	Garofalo C, Osimani A, Milanovic V, Aquilanti L, De Filippis F, Stellato G, Di Mauro S, Turchetti B, Buzzini P, Ercolini D, Clementi F.	Food Microbiol	10.1016/j.fm.2015.01.017	2015
Phylogeny	Short communication: Evaluation of the microbiota of kefir samples using metagenetic analysis targeting the 16S and 26S ribosomal DNA fragments.	Korsak N, Taminiau B, Leclercq M, Nezer C, Crevecoeur S, Ferauche C, Detry E, Delcenserie V, Daube G.	J Dairy Sci	10.3168/jds.2014-9065	2015
Genetics	Genomics and synthetic community experiments uncover the key metabolic roles of acetic acid bacteria in sourdough starter microbiomes.	Rappaport HB, Senewiratne NPJ, Lucas SK, Wolfe BE, Oliverio AM.	mSystems	10.1128/msystems.00537-24	2024
	Traditional Fermented Foods and Beverages from around the World and Their Health Benefits.	Cuamatzin-Garcia L, Rodriguez-Rugarcia P, El-Kassis EG, Galicia G, Meza-Jimenez ML, Banos-Lara MDR, Zaragoza-Maldonado DS, Perez-Armendariz B.	Microorganisms	10.3390/microorganisms10061151	2022
	Microbiological and chemical characteristics of Brazilian kefir during fermentation and storage processes.	Leite AM, Leite DC, Del Aguila EM, Alvares TS, Peixoto RS, Miguel MA, Silva JT, Paschoalin VM.	J Dairy Sci	10.3168/jds.2012-6263	2013
	Influence of metabolic guilds on a temporal scale in an experimental fermented food derived microbial community.	Leale A, Auxier B, Smid EJ, Schoustra S.	FEMS Microbiol Ecol	10.1093/femsec/fiad112	2023
Phylogeny	Metagenomic and phytochemical analyses of kefir water and its subchronic toxicity study in BALB/c mice.	Kumar MR, Yeap SK, Mohamad NE, Abdullah JO, Masarudin MJ, Khalid M, Leow ATC, Alitheen NB.	BMC Complement Med Ther	10.1186/s12906-021-03358-3	2021
	Microbial communities and chemical changes during fermentation of sugary Brazilian kefir.	Magalhaes KT, de M Pereira GV, Dias DR, Schwan RF.	World J Microbiol Biotechnol	10.1007/s11274-009-0294-x	2010
	The Microbial Diversity and Biofilm-Forming Characteristic of Two Traditional Tibetan Kefir Grains.	Wang X, Li W, Xu M, Tian J, Li W.	Foods	10.3390/foods11010012	2021
Enzymology	Main microorganisms involved in the fermentation of Ugandan ghee.	Ongol MP, Asano K.	Int J Food Microbiol	10.1016/j.ijfoodmicro.2009.06.003	2009
Phylogeny	Bacterial community in naturally fermented milk products of Arunachal Pradesh and Sikkim of India analysed by high-throughput amplicon sequencing.	Shangpliang HNJ, Rai R, Keisam S, Jeyaram K, Tamang JP.	Sci Rep	10.1038/s41598-018-19524-6	2018
	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
Phylogeny	Bacterial Populations in International Artisanal Kefirs.	Sindi A, Badsha MB, Unlu G.	Microorganisms	10.3390/microorganisms8091318	2020
	Brazilian kefir: structure, microbial communities and chemical composition.	Magalhaes KT, de Melo Pereira GV, Campos CR, Dragone G, Schwan RF.	Braz J Microbiol	10.1590/s1517-838220110002000034	2011
Phylogeny	Microbial species diversity, community dynamics, and metabolite kinetics of water kefir fermentation.	Laureys D, De Vuyst L.	Appl Environ Microbiol	10.1128/aem.03978-13	2014
Metabolism	Microbially influenced corrosion communities associated with fuel-grade ethanol environments.	Williamson CH, Jain LA, Mishra B, Olson DL, Spear JR.	Appl Microbiol Biotechnol	10.1007/s00253-015-6729-4	2015
Metabolism	Optimized culture conditions for bacterial cellulose production by Acetobacter senegalensis MA1.	Aswini K, Gopal NO, Uthandi S.	BMC Biotechnol	10.1186/s12896-020-00639-6	2020
	Microbial diversity of a Camembert-type cheese using freeze-dried Tibetan kefir coculture as starter culture by culture-dependent and culture-independent methods.	Mei J, Guo Q, Wu Y, Li Y.	PLoS One	10.1371/journal.pone.0111648	2014
	Microbial Diversity and Biochemical Analysis of Suanzhou: A Traditional Chinese Fermented Cereal Gruel.	Qin H, Sun Q, Pan X, Qiao Z, Yang H.	Front Microbiol	10.3389/fmicb.2016.01311	2016
Metabolism	Temporal and Spatial Distribution of the Acetic Acid Bacterium Communities throughout the Wooden Casks Used for the Fermentation and Maturation of Lambic Beer Underlines Their Functional Role.	De Roos J, Verce M, Aerts M, Vandamme P, De Vuyst L.	Appl Environ Microbiol	10.1128/aem.02846-17	2018
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
Enzymology	Influence of turning and environmental contamination on the dynamics of populations of lactic acid and acetic acid bacteria involved in spontaneous cocoa bean heap fermentation in Ghana.	Camu N, Gonzalez A, De Winter T, Van Schoor A, De Bruyne K, Vandamme P, Takrama JS, Addo SK, De Vuyst L.	Appl Environ Microbiol	10.1128/aem.01512-07	2008
Metabolism	Acetobacter aceti possesses a proton motive force-dependent efflux system for acetic acid.	Matsushita K, Inoue T, Adachi O, Toyama H.	J Bacteriol	10.1128/jb.187.13.4346-4352.2005	2005
Phylogeny	Acetobacter fabarum sp. nov., an acetic acid bacterium from a Ghanaian cocoa bean heap fermentation.	Cleenwerck I, Gonzalez A, Camu N, Engelbeen K, De Vos P, De Vuyst L.	Int J Syst Evol Microbiol	10.1099/ijs.0.65778-0	2008
Phylogeny	Acetobacter ghanensis sp. nov., a novel acetic acid bacterium isolated from traditional heap fermentations of Ghanaian cocoa beans.	Cleenwerck I, Camu N, Engelbeen K, De Winter T, Vandemeulebroecke K, De Vos P, De Vuyst L.	Int J Syst Evol Microbiol	10.1099/ijs.0.64840-0	2007
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

#1703	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 4491
#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) .
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#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 lovaniensis (DSM 4491, ATCC 12875, CCUG 18127)

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

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_014207635

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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