Acetobacter cerevisiae (DSM 14362, ATCC 23765, LMG 1625)

Name: Acetobacter cerevisiae (DSM 14362, ATCC 23765, LMG 1625)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 12

Type strain

Culture col. no. DSM 14362 ATCC 23765 LMG 1625 NCIMB 8894 VTT E-042461 2 more

NCBI tax ID(s) 1307903 178900

Special Collections DSMZ JCM CIP Literature strains

History DSMZ <- D. Janssens, LMG <- NCIB <- R. Parsons JCM <-- LMG 1625 <-- NCIB 8894 <-- R. H. Parsons. CIP <- 2002, NCIMB <- LMG <- R. Parsons

Links

Acetobacter cerevisiae DSM 14362 is an obligate aerobe, Gram-negative, rod-shaped bacterium that forms circular colonies and was isolated from beer in storage.

Gram-negative rod-shaped colony-forming obligate aerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 38218

LMG 1625,ATCC 23765,NCIB 8894,NCIMB 8894,DSM 14362,CIP 107722,NCIM 2517,VTT E-042461,JCM 17273,BCC 40086,TBRC 720

@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 cerevisiae

Full scientific name Acetobacter cerevisiae Cleenwerck et al. 2002

BacDive ID	Other strains from **Acetobacter cerevisiae** (2)	Type strain
3	A. cerevisiae B-468, A8, DSM 2324, ATCC 6438, LMG 1592, ...
136593	A. cerevisiae CIP 58.66

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
23233	negative	2.0-4.0 µm	1 µm	rod-shaped
118210	negative			rod-shaped
125438	negative				95.333

Colony morphology

@ref	Colony size	Colony color	Colony shape	Medium used
23233	0.3-0.5 mm	beige to brown	circular	YPM agar

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
5318	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
23233	YPM agar
41779	MEDIUM 314 - for Gluconacetobacter xylinus subsp. sucrofermentans		Distilled water make up to (1000.000 ml);Agar (15.000 g);Glucose (100.000 g);Yeast extract (10.000 g);Calcium carbonate (30.000 g)
118210	CIP Medium 314	Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)
5318	positive	growth	28
41779	positive	growth	30
67770	positive	growth	30
118210	positive	growth	22-41
118210	negative	growth	10
118210	negative	growth	45

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance
23233	obligate aerobe
118210	obligate aerobe

Spore formation

@ref	Spore formation	Confidence
23233
125438		91.321
125439		97.947

Compound production

23233

Compound2-Dehydro-D-gluconate

Halophily

@ref	Salt	Growth	Tested relation	Concentration
118210	NaCl	positive	growth	0-2 %
118210	NaCl		growth	4 %
118210	NaCl		growth	6 %
118210	NaCl		growth	8 %
118210	NaCl		growth	10 %

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
23233	28938 ChEBI	ammonium		nitrogen source
23233	16236 ChEBI	ethanol	-	carbon source
23233	17754 ChEBI	glycerol	+	growth
118210	606565 ChEBI	hippurate	-	hydrolysis
23233	17306 ChEBI	maltose	-	growth
23233	17790 ChEBI	methanol	-	growth
118210	17632 ChEBI	nitrate	-	reduction
118210	16301 ChEBI	nitrite	-	reduction

Antibiotic resistance

@ref	Metabolite	Is sensitive	Is resistant
118210	0129 (2,4-Diamino-6,7-di-iso-propylpteridine phosphate)

Metabolite production

@ref	Chebi-ID	Metabolite
23233	16808 ChEBI	2-dehydro-D-gluconate
23233	17426 ChEBI	5-dehydro-D-gluconate
118210	35581 ChEBI	indole

Enzymes

@ref	Value	Activity	Ec
68382	acid phosphatase	+	3.1.3.2	from API zym
68382	alkaline phosphatase	-	3.1.3.1	from API zym
68382	alpha-chymotrypsin	-	3.4.21.1	from API zym
68382	alpha-fucosidase	-	3.2.1.51	from API zym
68382	alpha-galactosidase	-	3.2.1.22	from API zym
68382	alpha-glucosidase	-	3.2.1.20	from API zym
68382	alpha-mannosidase	-	3.2.1.24	from API zym
68382	beta-galactosidase	-	3.2.1.23	from API zym
118210	beta-galactosidase	-	3.2.1.23
68382	beta-glucosidase	-	3.2.1.21	from API zym
68382	beta-glucuronidase	-	3.2.1.31	from API zym
23233	catalase	+	1.11.1.6
118210	catalase	+	1.11.1.6
68382	cystine arylamidase	-	3.4.11.3	from API zym
23233	cytochrome oxidase	-	1.9.3.1
68382	esterase (C 4)	+		from API zym
68382	esterase lipase (C 8)	+		from API zym
118210	gamma-glutamyltransferase	-	2.3.2.2
118210	gelatinase	-
68382	leucine arylamidase	+	3.4.11.1	from API zym
68382	lipase (C 14)	-		from API zym
68382	N-acetyl-beta-glucosaminidase	-	3.2.1.52	from API zym
68382	naphthol-AS-BI-phosphohydrolase	+		from API zym
118210	oxidase	-
68382	trypsin	-	3.4.21.4	from API zym
118210	urease	-	3.5.1.5
68382	valine arylamidase	+		from API zym

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	coenzyme A metabolism	100	4 of 4
66794	ethanol fermentation	100	2 of 2
66794	adipate degradation	100	2 of 2
66794	acetate fermentation	100	4 of 4
66794	methylglyoxal degradation	100	5 of 5
66794	ppGpp biosynthesis	100	4 of 4
66794	phenylacetate degradation (aerobic)	100	5 of 5
66794	formaldehyde oxidation	100	3 of 3
66794	biotin biosynthesis	100	4 of 4
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	folate polyglutamylation	100	1 of 1
66794	aerobactin biosynthesis	100	1 of 1
66794	ceramide biosynthesis	100	1 of 1
66794	acetoin degradation	100	3 of 3
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	palmitate biosynthesis	95.45	21 of 22
66794	tetrahydrofolate metabolism	92.86	13 of 14
66794	threonine metabolism	90	9 of 10
66794	Entner Doudoroff pathway	90	9 of 10
66794	lipid A biosynthesis	88.89	8 of 9
66794	valine metabolism	88.89	8 of 9
66794	serine metabolism	88.89	8 of 9
66794	chorismate metabolism	88.89	8 of 9
66794	C4 and CAM-carbon fixation	87.5	7 of 8
66794	photosynthesis	85.71	12 of 14
66794	reductive acetyl coenzyme A pathway	85.71	6 of 7
66794	vitamin B1 metabolism	84.62	11 of 13
66794	vitamin B12 metabolism	82.35	28 of 34
66794	pentose phosphate pathway	81.82	9 of 11
66794	proline metabolism	81.82	9 of 11
66794	4-hydroxyphenylacetate degradation	80	8 of 10
66794	peptidoglycan biosynthesis	80	12 of 15
66794	molybdenum cofactor biosynthesis	77.78	7 of 9
66794	aspartate and asparagine metabolism	77.78	7 of 9
66794	purine metabolism	77.66	73 of 94
66794	phenylalanine metabolism	76.92	10 of 13
66794	methionine metabolism	76.92	20 of 26
66794	sulfopterin metabolism	75	3 of 4
66794	glycogen biosynthesis	75	3 of 4
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	75	6 of 8
66794	CMP-KDO biosynthesis	75	3 of 4
66794	glutamate and glutamine metabolism	75	21 of 28
66794	flavin biosynthesis	73.33	11 of 15
66794	alanine metabolism	72.41	21 of 29
66794	NAD metabolism	72.22	13 of 18
66794	citric acid cycle	71.43	10 of 14
66794	propanol degradation	71.43	5 of 7
66794	heme metabolism	71.43	10 of 14
66794	cardiolipin biosynthesis	71.43	5 of 7
66794	ubiquinone biosynthesis	71.43	5 of 7
66794	pyrimidine metabolism	68.89	31 of 45
66794	CO2 fixation in Crenarchaeota	66.67	6 of 9
66794	octane oxidation	66.67	2 of 3
66794	glycolate and glyoxylate degradation	66.67	4 of 6
66794	cyanate degradation	66.67	2 of 3
66794	L-lactaldehyde degradation	66.67	2 of 3
66794	sulfoquinovose degradation	66.67	2 of 3
66794	allantoin degradation	66.67	6 of 9
66794	tryptophan metabolism	65.79	25 of 38
66794	glycolysis	64.71	11 of 17
66794	vitamin B6 metabolism	63.64	7 of 11
66794	gluconeogenesis	62.5	5 of 8
66794	isoleucine metabolism	62.5	5 of 8
66794	ketogluconate metabolism	62.5	5 of 8
66794	isoprenoid biosynthesis	61.54	16 of 26
66794	propionate fermentation	60	6 of 10
66794	factor 420 biosynthesis	60	3 of 5
66794	starch degradation	60	6 of 10
66794	degradation of aromatic, nitrogen containing compounds	58.33	7 of 12
66794	lipid metabolism	58.06	18 of 31
66794	non-pathway related	57.89	22 of 38
66794	tyrosine metabolism	57.14	8 of 14
66794	glutathione metabolism	57.14	8 of 14
66794	d-mannose degradation	55.56	5 of 9
66794	histidine metabolism	55.17	16 of 29
66794	phenol degradation	55	11 of 20
66794	oxidative phosphorylation	54.95	50 of 91
66794	lysine metabolism	54.76	23 of 42
66794	metabolism of disaccharids	54.55	6 of 11
66794	arginine metabolism	54.17	13 of 24
66794	leucine metabolism	53.85	7 of 13
66794	sulfate reduction	53.85	7 of 13
66794	urea cycle	53.85	7 of 13
66794	cyclohexanol degradation	50	2 of 4
66794	aminopropanol phosphate biosynthesis	50	1 of 2
66794	suberin monomers biosynthesis	50	1 of 2
66794	dTDPLrhamnose biosynthesis	50	4 of 8
66794	quinate degradation	50	1 of 2
66794	androgen and estrogen metabolism	50	8 of 16
66794	cis-vaccenate biosynthesis	50	1 of 2
66794	glycine metabolism	50	5 of 10
66794	cysteine metabolism	50	9 of 18
66794	butanoate fermentation	50	2 of 4
66794	phosphatidylethanolamine bioynthesis	46.15	6 of 13
66794	nitrate assimilation	44.44	4 of 9
66794	gallate degradation	40	2 of 5
66794	metabolism of amino sugars and derivatives	40	2 of 5
66794	lipoate biosynthesis	40	2 of 5
66794	3-phenylpropionate degradation	40	6 of 15
66794	arachidonic acid metabolism	38.89	7 of 18
66794	degradation of sugar alcohols	37.5	6 of 16
66794	degradation of sugar acids	36	9 of 25
66794	polyamine pathway	34.78	8 of 23
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	selenocysteine biosynthesis	33.33	2 of 6
66794	4-hydroxymandelate degradation	33.33	3 of 9
66794	IAA biosynthesis	33.33	1 of 3
66794	(5R)-carbapenem carboxylate biosynthesis	33.33	1 of 3
66794	sphingosine metabolism	33.33	2 of 6
66794	pantothenate biosynthesis	33.33	2 of 6
66794	degradation of pentoses	32.14	9 of 28
66794	ascorbate metabolism	31.82	7 of 22
66794	benzoyl-CoA degradation	28.57	2 of 7
66794	carotenoid biosynthesis	27.27	6 of 22
66794	cholesterol biosynthesis	27.27	3 of 11
66794	toluene degradation	25	1 of 4
66794	lactate fermentation	25	1 of 4
66794	carnitine metabolism	25	2 of 8
66794	catecholamine biosynthesis	25	1 of 4
66794	bile acid biosynthesis, neutral pathway	23.53	4 of 17
66794	degradation of hexoses	22.22	4 of 18

API zym

@ref	Control	Alkaline phosphatase	Esterase (C 4)	2-naphtyl caprylateEsterase Lipase (C 8)	Lipase (C 14)	L-leucyl-2-naphthylamideLeucine arylamidase	L-valyl-2-naphthylamideValine arylamidase	L-cystyl-2-naphthylamideCystine arylamidase	Trypsin	alpha- Chymotrypsin	Acid phosphatase	Naphthol-AS-BI-phosphateNaphthol-AS-BI-phosphohydrolase	alpha- Galactosidase	beta- Galactosidase	beta- Glucuronidase	alpha- Glucosidase	beta- Glucosidase	N-acetyl-beta- glucosaminidase	alpha- Mannosidase	alpha- Fucosidase
118210	-	-	+	+	-	+	+	-	-	-	+	+	-	-	-	-	-	-	-	-

API biotype100

@ref	ControlQ	D-glucose as carbon sourceGLU	D-fructose as carbon sourceFRU	D-galactose as carbon sourceGAL	D-trehalose as carbon sourceTRE	D-mannose as carbon sourceMNE	L-sorbose as carbon sourceSBE	D-melibiose as carbon sourceMEL	sucrose as carbon sourceSAC	D-raffinose as carbon sourceRAF	maltotriose as carbon sourceMTE	maltose as carbon sourceMAL	lactose as carbon sourceLAC	lactulose as carbon sourceLTE	1-O-methyl-beta-galactopyranoside as carbon sourceMbGa	1-O-methyl-alpha-galactopyranoside as carbon sourceMaGa	D-cellobiose as carbon sourceCEL	gentiobiose as carbon sourceGEN	1-O-methyl-beta-D-glucopyranoside as carbon sourceMbGu	esculin as carbon sourceESC	D-ribose as carbon sourceRIB	L-arabinose as carbon sourceARA	D-xylose as carbon sourceXYL	palatinose as carbon sourcePLE	L-rhamnose as carbon sourceRHA	L-fucose as carbon sourceFUC	D-melezitose as carbon sourceMLZ	D-arabitol as carbon sourceDARL	L-arabitol as carbon sourceLARL	xylitol as carbon sourceXLT	dulcitol as carbon sourceDUL	D-tagatose as carbon sourceTAG	glycerol as carbon sourceGLY	myo-inositol as carbon sourceINO	D-mannitol as carbon sourceMAN	maltitol as carbon sourceMTL	D-turanose as carbon sourceTUR	D-sorbitol as carbon sourceSOR	adonitol as carbon sourceADO	hydroxyquinoline-beta-glucuronide as carbon sourceHBG	D-lyxose as carbon sourceLYX	i-erythritol as carbon sourceERY	1-O-methyl-alpha-D-glucoside as carbon sourceMDG	3-O-methyl-D-glucose as carbon source3MDG	D-saccharate as carbon sourceSAT	mucate as carbon sourceMUC	L-tartrate as carbon sourceLTAT	D-tartrate as carbon sourceDTAT	meso-tartrate as carbon sourceMTAT	D-malate as carbon sourceDMLT	L-malate as carbon sourceLMLT	cis-aconitate as carbon sourceCATE	trans-aconitate as carbon sourceTATE	tricarballylate as carbon sourceTTE	citrate as carbon sourceCIT	D-glucuronate as carbon sourceGRT	D-galacturonate as carbon sourceGAT	2-ketogluconate as carbon source2KG	5-ketogluconate as carbon source5KG	tryptophan as carbon sourceTRY	N-acetyl-D-glucosamine as carbon sourceNAG	D-gluconate as carbon sourceGNT	phenylacetate as carbon sourcePAC	protocatechuate as carbon sourcePAT	4-hydroxybenzoate as carbon sourcepOBE	quinate as carbon sourceQAT	gentisate as carbon sourceGTE	3-hydroxybenzoate as carbon sourcemOBE	benzoate as carbon sourceBAT	3-phenylpropionate as carbon sourcePPAT	m-coumarate as carbon sourceCMT	trigonelline as carbon sourceTGE	betaine as carbon sourceBET	putrescine as carbon sourcePCE	4-aminobutyrate as carbon sourceABT	histamine as carbon sourceHIN	DL-lactate as carbon sourceLAT	caprate as carbon sourceCAP	caprylate as carbon sourceCYT	L-histidine as carbon sourceHIS	succinate as carbon sourceSUC	fumarate as carbon sourceFUM	glutarate as carbon sourceGRE	DL-glycerate as carbon sourceGYT	5-aminovalerate as carbon sourceAVT	ethanolamine as carbon sourceETN	tryptamine as carbon sourceTTN	D-glucosamine as carbon sourceGLN	itaconate as carbon sourceITA	3-hydroxybutyrate as carbon source3OBU	L-aspartate as carbon sourceAPT	L-glutamate as carbon sourceGTT	L-proline as carbon sourcePRO	D-alanine as carbon sourceDALA	L-alanine as carbon sourceLALA	L-serine as carbon sourceSER	malonate as carbon sourceMNT	propionate as carbon sourcePROP	L-tyrosine as carbon sourceTYR	2-ketoglutarate as carbon source2KT
118210	not determinedn.d.	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	+	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-

Isolation, sampling and environmental information

Isolation source categories

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

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
5318	beer (ale) in storage	Toronto	Canada	CAN	North America
67770	Beer (ale) in storage	Toronto	Canada	CAN	North America
118210	Beer		Canada	CAN	North America

Taxonmaps

69479

Global distribution of 16S sequence JF793954 (>99% sequence identity) for Acetobacter from Microbeatlas

Aquatic Samples	172
Soil Samples	185
Animal Samples	932
Plant Samples	225
Total Samples	1514

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
5318	1	Risk group (German classification) According to TRBA 466
118210	1	Risk group (French 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	ASM158053v1 assembly for Acetobacter cerevisiae LMG 1625	contig	GCA_001580535	178900.5	2724679583	178900	45.7
124043	ASM2599619v1 assembly for Acetobacter cerevisiae DSM 14362	contig	GCA_025996195	1307903.3	8116728870	1307903	33.31

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
20218	Acetobacter cerevisiae gene for 16S rRNA, partial sequence, strain: JCM 17273	AB665080	1412	178900
20218	Acetobacter cerevisiae strain LMG 1625 16S ribosomal RNA gene, partial sequence	JF793954	1358	178900
23233	Acetobacter cerevisiae 16S rRNA gene, strain LMG 1625	AJ419843	1442

GC content

@ref	GC-content (mol%)	Method
23233	56.0-57.6	high performance liquid chromatography (HPLC)
67770	57.6	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: ASM158053v1 assembly for Acetobacter cerevisiae LMG 1625
NCBI: GCA_001580535

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	81.17	no
125439	gram_stain	BacteriaNetⓘ	negative	87.47	no
125439	motility	BacteriaNetⓘ	yes	71.73	no
125439	spore_formation	BacteriaNetⓘ	no	97.95	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Acetobacter cerevisiae strain LMG 1625
PATRIC: 178900.5

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	95.33	no
125438	anaerobic	anaerobicⓘ	no	89.02	no
125438	spore-forming	spore-formingⓘ	no	91.32	no
125438	aerobic	aerobicⓘ	yes	83.07	no
125438	thermophilic	thermophileⓘ	no	98.20	yes
125438	flagellated	motile2+ⓘ	no	70.20	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Impact of Saccharomyces cerevisiae DSM 34246 (Canobios-BL) var. boulardii Supplementation on Nutritional Status and Fecal Parameters in Healthy Breeding Adult Cats.	Lonigro N, Martello E, Bruni N, Bigliati M, Costale A, Lippi I, Meineri G, Perondi F.	Vet Sci	10.3390/vetsci12010044	2025
	How Does Saccharomyces cerevisiae DSM 34246 (Canobios-BL) var. boulardii Supplementation Impact the Fecal Parameters of Healthy Adult Dogs?	Lonigro N, Perondi F, Bruni N, Bigliati M, Costale A, Pagani E, Lippi I, Melocchi A, Zema L, Meineri G, Martello E.	Vet Sci	10.3390/vetsci12010045	2025
	Integrated co-cultivation and subsequent esterification: Harnessing Saccharomyces cerevisiae and Clostridium tyrobutyricum for streamlined ester production.	Oehlenschlager K, Lorenz M, Schepp E, Di Nonno S, Holtmann D, Ulber R.	Biotechnol Biofuels Bioprod	10.1186/s13068-025-02698-3	2025
	Safety and efficacy of a feed additive consisting of Saccharomyces cerevisiae DSM 34246 (Canobios-BL) for cats and dogs (ACEL pharma s.r.l.).	EFSA Panel on Additives and Products or Substances used in Animal Feed (FEEDAP), Bampidis V, Azimonti G, Bastos ML, Christensen H, Durjava M, Dusemund B, Kouba M, Lopez-Alonso M, Lopez Puente S, Marcon F, Mayo B, Pechova A, Petkova M, Ramos F, Villa RE, Woutersen R, Martelli G, Yurkov A, Alija Novo N, Anguita M, Galobart J, Innocenti ML, Ortuno J, Brozzi R.	EFSA J	10.2903/j.efsa.2024.8802	2024
	Perspective on Pulsed Electric Field Treatment in the Bio-based Industry.	Buchmann L, Mathys A.	Front Bioeng Biotechnol	10.3389/fbioe.2019.00265	2019
	Isolation of the mustard Napin protein Allergen Sin a 1 and characterisation of its antifungal activity.	Mignone G, Shwaiki LN, Arendt EK, Coffey A.	Biochem Biophys Rep	10.1016/j.bbrep.2022.101208	2022
	A Multicolor Fluorescence in situ Hybridization Approach Using an Extended Set of Fluorophores to Visualize Microorganisms.	Lukumbuzya M, Schmid M, Pjevac P, Daims H.	Front Microbiol	10.3389/fmicb.2019.01383	2019
	"A comparison between sugar consumption and ethanol production in wort by immobilized Saccharomyces Cerevisiae, Saccharomyces Ludwigii and Saccharomyces Rouxii on Brewer'S Spent Grain".	Mohammadi A, Razavi SH, Mousavi SM, Rezaei K.	Braz J Microbiol	10.1590/s1517-838220110002000025	2011
	Comparison of ethanol production from corn cobs and switchgrass following a pyrolysis-based biorefinery approach.	Luque L, Oudenhoven S, Westerhof R, van Rossum G, Berruti F, Kersten S, Rehmann L.	Biotechnol Biofuels	10.1186/s13068-016-0661-4	2016
Metabolism	Convergent evolution of a modified, acetate-driven TCA cycle in bacteria.	Kwong WK, Zheng H, Moran NA.	Nat Microbiol	10.1038/nmicrobiol.2017.67	2017
Pathogenicity	Microbe-dependent and nonspecific effects of procedures to eliminate the resident microbiota from Drosophila melanogaster.	Ridley EV, Wong AC, Douglas AE.	Appl Environ Microbiol	10.1128/aem.00206-13	2013
Biotechnology	Total carbohydrate consumption through co-fermentation of agro-industrial waste: use of wild-type bacterial isolates specialized in the conversion of C-5 sugars to high levels of lactic acid with concomitant metabolization of toxic compounds.	Montipo S, Menegussi EB, Camassola M, Wallberg O, Galbe M.	World J Microbiol Biotechnol	10.1007/s11274-024-04202-9	2024
	Commensal acidification of specific gut regions produces a protective priority effect against enteropathogenic bacterial infection.	Yang JL, Zhu H, Sadh P, Aumiller K, Guvener ZT, Ludington WB.	Appl Environ Microbiol	10.1128/aem.00707-25	2025
	Qualitative and Quantitative Metabolite Comparison of Grain, Persimmon, and Apple Vinegars with Antioxidant Activities	Tak H, Yang S, Kim S, Lee N, Lee C.	Antioxidants (Basel)		2025
Metabolism	Molecular identification of yeast, lactic and acetic acid bacteria species during spoilage of tchapalo, a traditional sorghum beer from Côte d'Ivoire.	Attchelouwa CK, N'guessan FK, Ake FMD, Dje MK.	World J Microbiol Biotechnol	10.1007/s11274-018-2555-z	2018
Enzymology	Acetobacter malorum and Acetobacter cerevisiae identification and quantification by Real-Time PCR with TaqMan-MGB probes.	Valera MJ, Torija MJ, Mas A, Mateo E.	Food Microbiol	10.1016/j.fm.2013.03.008	2013
	FODMAP Fingerprinting of Bakery Products and Sourdoughs: Quantitative Assessment and Content Reduction through Fermentation.	Pitsch J, Sandner G, Huemer J, Huemer M, Huemer S, Weghuber J.	Foods	10.3390/foods10040894	2021
	Refermentation and maturation of lambic beer in bottles: a necessary step for gueuze production.	Bongaerts D, Bouchez A, De Roos J, Cnockaert M, Wieme AD, Vandamme P, Weckx S, De Vuyst L.	Appl Environ Microbiol	10.1128/aem.01869-23	2024
	Master regulators of biological systems in higher dimensions.	Eble H, Joswig M, Lamberti L, Ludington WB.	Proc Natl Acad Sci U S A	10.1073/pnas.2300634120	2023
	Role of Commensal Microbes in the gamma-Ray Irradiation-Induced Physiological Changes in Drosophila melanogaster.	Lee HJ, Lee SH, Lee JH, Kim Y, Seong KM, Jin YW, Min KJ.	Microorganisms	10.3390/microorganisms9010031	2020
Biotechnology	Acetobacter strains isolated during the acetification of blueberry (Vaccinium corymbosum L.) wine.	Hidalgo C, Garcia D, Romero J, Mas A, Torija MJ, Mateo E.	Lett Appl Microbiol	10.1111/lam.12104	2013
	Investigating the antibacterial effects of some Lactobacillus, Bifidobacterium and acetobacter strains killed by different methods on Streptococcus mutans and Escherichia coli.	Safari MS, Keyhanfar M, Shafiei R.	Mol Biol Res Commun	10.22099/mbrc.2019.33582.1399	2019
Enzymology	Diversity of acetic acid bacteria present in healthy grapes from the Canary Islands.	Valera MJ, Laich F, Gonzalez SS, Torija MJ, Mateo E, Mas A.	Int J Food Microbiol	10.1016/j.ijfoodmicro.2011.08.007	2011
	Survival of planktonic and sessile Acetobacter cerevisiae	Altieri C, Speranza B, Cardillo D, Sinigaglia M.	International journal of food science and technology.	10.1111/j.1365-2621.2006.01476.x	2008
Phylogeny	Differentiation of species of the family Acetobacteraceae by AFLP DNA fingerprinting: Gluconacetobacter kombuchae is a later heterotypic synonym of Gluconacetobacter hansenii.	Cleenwerck I, De Wachter M, Gonzalez A, De Vuyst L, De Vos P.	Int J Syst Evol Microbiol	10.1099/ijs.0.005157-0	2009
	Interaction of acetic acid bacteria and lactic acid bacteria in multispecies solid-state fermentation of traditional Chinese cereal vinegar.	Xia M, Zhang X, Xiao Y, Sheng Q, Tu L, Chen F, Yan Y, Zheng Y, Wang M.	Front Microbiol	10.3389/fmicb.2022.964855	2022
	Changes in the Volatile Profile of Wheat Sourdough Produced with the Addition of Cava Lees.	Martin-Garcia A, Comas-Baste O, Riu-Aumatell M, Latorre-Moratalla M, Lopez-Tamames E.	Molecules	10.3390/molecules27113588	2022
Metabolism	An anticonvulsive drug, valproic acid (valproate), has effects on the biosynthesis of fatty acids and polyketides in microorganisms.	Poolchanuan P, Unagul P, Thongnest S, Wiyakrutta S, Ngamrojanavanich N, Mahidol C, Ruchirawat S, Kittakoop P.	Sci Rep	10.1038/s41598-020-66251-y	2020
Phylogeny	Application of molecular methods for analysing the distribution and diversity of acetic acid bacteria in Chilean vineyards.	Prieto C, Jara C, Mas A, Romero J.	Int J Food Microbiol	10.1016/j.ijfoodmicro.2006.12.017	2007
	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
Genetics	Diverse Microbial Composition of Sourdoughs From Different Origins.	Comasio A, Verce M, Van Kerrebroeck S, De Vuyst L.	Front Microbiol	10.3389/fmicb.2020.01212	2020
Metabolism	Bacterial Methionine Metabolism Genes Influence Drosophila melanogaster Starvation Resistance.	Judd AM, Matthews MK, Hughes R, Veloz M, Sexton CE, Chaston JM.	Appl Environ Microbiol	10.1128/aem.00662-18	2018
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
Genetics	Comparative Genomic Analysis of Closely Related Acetobacter pasteurianus Strains Provides Evidence of Horizontal Gene Transfer and Reveals Factors Necessary for Thermotolerance.	Matsutani M, Matsumoto N, Hirakawa H, Shiwa Y, Yoshikawa H, Okamoto-Kainuma A, Ishikawa M, Kataoka N, Yakushi T, Matsushita K.	J Bacteriol	10.1128/jb.00553-19	2020
Genetics	Fermented-Food Metagenomics Reveals Substrate-Associated Differences in Taxonomy and Health-Associated and Antibiotic Resistance Determinants.	Leech J, Cabrera-Rubio R, Walsh AM, Macori G, Walsh CJ, Barton W, Finnegan L, Crispie F, O'Sullivan O, Claesson MJ, Cotter PD.	mSystems	10.1128/msystems.00522-20	2020
	The microbial diversity of traditional spontaneously fermented lambic beer.	Spitaels F, Wieme AD, Janssens M, Aerts M, Daniel HM, Van Landschoot A, De Vuyst L, Vandamme P.	PLoS One	10.1371/journal.pone.0095384	2014
	Acetic Acid Bacteria in the Food Industry: Systematics, Characteristics and Applications.	Gomes RJ, Borges MF, Rosa MF, Castro-Gomez RJH, Spinosa WA.	Food Technol Biotechnol	10.17113/ftb.56.02.18.5593	2018
Genetics	Complete genome sequence and comparative analysis of Acetobacter pasteurianus 386B, a strain well-adapted to the cocoa bean fermentation ecosystem.	Illeghems K, De Vuyst L, Weckx S.	BMC Genomics	10.1186/1471-2164-14-526	2013
	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
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
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

#5318	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 14362
#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 )
#23233	I. Cleenwerck, K. Vandemeulebroecke, D. Janssens and J. Swings: Re-examination of the genus Acetobacter, with descriptions of Acetobacter cerevisiae sp. nov. and Acetobacter malorum sp. nov.. IJSEM 52: 1551 - 1558 2002 ( DOI 10.1099/ijs.0.02064-0 )
#41779	; Curators of the CIP;
#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;
#68382	Automatically annotated from API zym .
#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 .
#118210	Collection of Institut Pasteur ; Curators of the CIP; CIP 107722
#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 cerevisiae (DSM 14362, ATCC 23765, LMG 1625)

Name and taxonomic classification

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