Acetobacter fabarum (DSM 19596, LMG 24244, 985)

Name: Acetobacter fabarum (DSM 19596, LMG 24244, 985)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 23

Type strain

Strain Designation 985, R-36330

Culture col. no. DSM 19596 LMG 24244 985 R-36330

NCBI tax ID(s) 1307906 483199

Special Collections DSMZ Literature strains

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Acetobacter fabarum 985 is a mesophilic, Gram-negative, motile prokaryote that forms circular colonies and was isolated from cocoa bean heap fermentation.

Gram-negative motile rod-shaped colony-forming mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 309084

LMG 24244,DSM 19596

@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 fabarum

Full scientific name Acetobacter fabarum Cleenwerck et al. 2008

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
23238	negative	1.2-3.0 µm	0.8 µm	rod-shaped
125438	negative				96.833
125439	negative				98.8

Colony morphology

@ref	Colony size	Colony color	Colony shape	Incubation period	Medium used
23238	0.8 mm	beige	circular	3 days	Z1 agar

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
8200	MANNITOL-YEAST EXTRACT-PEPTONE (DSMZ Medium 1087)		Medium recipe at MediaDive	Name: MANNITOL-YEAST EXTRACT-PEPTONE (MYP) (DSMZ Medium 1087) Composition: D-Mannitol 25.0 g/l Agar 15.0 g/l Yeast extract 5.0 g/l Peptone 3.0 g/l Distilled water
23238	Z1 agar			2 % yeast extract, 2 % calcium lactate, 1.5 % agar; w/v

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
8200	positive	growth	28	mesophilic

Physiology and metabolism

Spore formation

@ref	Spore formation	Confidence
125438		90.852
125439		95.2

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
23238	65327 ChEBI	D-xylose	+	growth
23238	16236 ChEBI	ethanol	+	oxidation
23238	17306 ChEBI	maltose	-	growth
23238	17790 ChEBI	methanol	+	growth

Metabolite production

@ref	Chebi-ID	Metabolite
23238	16808 ChEBI	2-dehydro-D-gluconate
23238	17426 ChEBI	5-dehydro-D-gluconate
23238	18391 ChEBI	D-gluconate

Enzymes

@ref	Value	Activity	Ec
23238	catalase	+	1.11.1.6
23238	cytochrome oxidase	-	1.9.3.1

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Food production	-
#Host Body-Site	#Plant	#Fruit (Seed)

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
8200	cocoa bean heap fermentation	Ghana	GHA	Africa

Taxonmaps

69479

Global distribution of 16S sequence AM905849 (>99% sequence identity) for Acetobacter from Microbeatlas

Aquatic Samples	428
Soil Samples	352
Animal Samples	2157
Plant Samples	309
Total Samples	3246

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
8200	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	ASM1151692v1 assembly for Acetobacter fabarum LMG 24244	contig	GCA_011516925	483199.11	8114973991	483199	62.56
124043	ASM2599587v1 assembly for Acetobacter fabarum DSM 19596	contig	GCA_025995875	1307906.3		1307906

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
20218	Acetobacter fabarum gene for 16S ribosomal RNA, partial sequence, strain: LMG 24244	AB665084	1412	483199
8200	Acetobacter fabarum partial 16S rRNA gene, type strain R-36330T	AM905849	1442	483199
124043	Acetobacter fabarum DNA, 16S-23S ribosomal RNA intergenic spacer, partial sequence, strain: LMG 24244.	AB936622	629	483199

GC content

@ref	GC-content (mol%)	Method
8200	57.6	high performance liquid chromatography (HPLC)
23238	57.60	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 fabarum LMG 24244
NCBI: GCA_011516925

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	95.20	no
125439	motility	BacteriaNetⓘ	yes	81.40	no
125439	gram_stain	BacteriaNetⓘ	negative	98.80	no
125439	oxygen_tolerance	BacteriaNetⓘ	aerobe	66.20	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Acetobacter fabarum strain LMG 24244
PATRIC: 483199.11

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	96.83	no
125438	anaerobic	anaerobicⓘ	no	86.59	no
125438	spore-forming	spore-formingⓘ	no	90.85	no
125438	aerobic	aerobicⓘ	yes	72.94	no
125438	thermophilic	thermophileⓘ	no	96.04	yes
125438	flagellated	motile2+ⓘ	yes	58.57	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Metabolism	Oxidation of metabolites highlights the microbial interactions and role of Acetobacter pasteurianus during cocoa bean fermentation.	Moens F, Lefeber T, De Vuyst L	Appl Environ Microbiol	10.1128/AEM.03344-13	2014
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

References

#8200	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 19596
#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 )
#23238	Ilse Cleenwerck, Ángel Gonzalez, Nicholas Camu, Katrien Engelbeen, Paul De Vos, Luc De Vuyst: Acetobacter fabarum sp. nov., an acetic acid bacterium from a Ghanaian cocoa bean heap fermentation. IJSEM 58: 2180 - 2185 2008 ( DOI 10.1099/ijs.0.65778-0 , PubMed 18768626 )
#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) .
#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 fabarum (DSM 19596, LMG 24244, 985)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Spore formation

Metabolite utilization

Metabolite production

Enzymes

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_011516925

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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