Komagataeibacter intermedius (DSM 11804, BCC 36457, JCM 16936)

Name: Komagataeibacter intermedius (DSM 11804, BCC 36457, JCM 16936)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 92

Type strain

Strain Designation TF2

Culture col. no. DSM 11804 BCC 36457 JCM 16936 LMG 18909 TF2 4 more

NCBI tax ID(s) 66229

Special Collections DSMZ JCM CIP

History DSMZ <- C. Boesch, ETH; TF2 JCM <-- DSM 11804 <-- C. Boesch TF2. CIP <- 1998, ZIM <- C. Boesch, Zürich, Switzerland: strain TF2

Links

Komagataeibacter intermedius TF2 is a Gram-negative, rod-shaped bacterium that was isolated from tea fungus beverage .

Gram-negative rod-shaped genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 12785

LMG 18909,DSM 11804,CIP 105780,BCRC 17055,CCRC 17055,BCC 36447,JCM 16936,BCC 36457,TBRC 477

@ref 20215

Last LPSN update 2026-05-29 08:24:56

Domain Bacteria

Phylum Pseudomonadota

Class Alphaproteobacteria

Order Rhodospirillales

Family Acetobacteraceae

Genus Komagataeibacter

Species Komagataeibacter intermedius

Full scientific name Komagataeibacter intermedius (Boesch et al. 1998) Yamada et al. 2013

Synonyms (3)

Acetobacter intermedius
"Komagatabacter intermedius"
Gluconacetobacter intermedius

BacDive ID	Other strains from **Komagataeibacter intermedius** (2)	Type strain
22896	K. intermedius JK3, DSM 13111, ZIM B022, CIP 105781
138240	K. intermedius TSN3, CIP 105782, ZIM B051

Morphology

Cell morphology

@ref	Gram stain	Cell shape	Confidence
120151	negative	rod-shaped
125438	negative		96.833
125439	negative		96.127

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
4493	ALTERNATIVE ACETOBACTER INTERMEDIUS MEDIUM (DSMZ Medium 850)	Medium recipe at MediaDive	Name: ALTERNATIVE ACETOBACTER INTERMEDIUS MEDIUM (DSMZ Medium 850) Composition: Agar 12.0 g/l Glucose 5.0 g/l Yeast extract 3.0 g/l Distilled water
4493	AE MEDIUM (DSMZ Medium 849)	Medium recipe at MediaDive	Name: AE MEDIUM (DSMZ Medium 849) Composition: Agar 9.0 g/l Glucose 5.0 g/l Peptone 4.0 g/l Yeast extract 3.0 g/l Glacial acetic acid Absolute ethanol Distilled water
4493	MRS MEDIUM (DSMZ Medium 11)	Medium recipe at MediaDive	Name: MRS MEDIUM (DSMZ Medium 11) Composition: Glucose 20.0 g/l Casein peptone 10.0 g/l Meat extract 10.0 g/l Na-acetate 5.0 g/l Yeast extract 5.0 g/l (NH4)3 citrate 2.0 g/l K2HPO4 2.0 g/l Tween 80 1.0 g/l MgSO4 x 7 H2O 0.2 g/l MnSO4 x H2O 0.05 g/l Distilled water
39826	MEDIUM 289 - for Acetobacter intermedius		Distilled water make up to (940.000 ml);Agar (8.000 g);Glucose (7.500 g);Yeast extract (3.000 g);Peptone (4.000 g);Acetic acid (30.000 ml);Ethanol (30.000 ml)
120151	CIP Medium 289	Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)
4493	positive	growth	30
39826	positive	growth	30
67770	positive	growth	30
120151	positive	growth	22-30
120151	negative	growth	37
120151	negative	growth	45

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	aerobe	94.442

Spore formation

@ref	Spore formation	Confidence
125439		99.373

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68371	27613 ChEBI	amygdalin	-	builds acid from	from API 50CH acid
68371	18305 ChEBI	arbutin	-	builds acid from	from API 50CH acid
68371	17057 ChEBI	cellobiose	-	builds acid from	from API 50CH acid
68371	17108 ChEBI	D-arabinose	-	builds acid from	from API 50CH acid
68371	18333 ChEBI	D-arabitol	-	builds acid from	from API 50CH acid
68371	15824 ChEBI	D-fructose	-	builds acid from	from API 50CH acid
68371	28847 ChEBI	D-fucose	-	builds acid from	from API 50CH acid
68371	12936 ChEBI	D-galactose	-	builds acid from	from API 50CH acid
68371	17634 ChEBI	D-glucose	-	builds acid from	from API 50CH acid
68371	62318 ChEBI	D-lyxose	-	builds acid from	from API 50CH acid
68371	16899 ChEBI	D-mannitol	-	builds acid from	from API 50CH acid
68371	16024 ChEBI	D-mannose	-	builds acid from	from API 50CH acid
68371	16988 ChEBI	D-ribose	-	builds acid from	from API 50CH acid
68371	17924 ChEBI	D-sorbitol	-	builds acid from	from API 50CH acid
68371	16443 ChEBI	D-tagatose	-	builds acid from	from API 50CH acid
68371	65327 ChEBI	D-xylose	-	builds acid from	from API 50CH acid
68371	17113 ChEBI	erythritol	-	builds acid from	from API 50CH acid
68371	4853 ChEBI	esculin	-	builds acid from	from API 50CH acid
68371	16813 ChEBI	galactitol	-	builds acid from	from API 50CH acid
68371	28066 ChEBI	gentiobiose	-	builds acid from	from API 50CH acid
68371	24265 ChEBI	gluconate	-	builds acid from	from API 50CH acid
68371	17754 ChEBI	glycerol	-	builds acid from	from API 50CH acid
68371	28087 ChEBI	glycogen	-	builds acid from	from API 50CH acid
120151	606565 ChEBI	hippurate	-	hydrolysis
68371	15443 ChEBI	inulin	-	builds acid from	from API 50CH acid
68371	30849 ChEBI	L-arabinose	-	builds acid from	from API 50CH acid
68371	18403 ChEBI	L-arabitol	-	builds acid from	from API 50CH acid
68371	18287 ChEBI	L-fucose	-	builds acid from	from API 50CH acid
68371	62345 ChEBI	L-rhamnose	-	builds acid from	from API 50CH acid
68371	17266 ChEBI	L-sorbose	-	builds acid from	from API 50CH acid
68371	65328 ChEBI	L-xylose	-	builds acid from	from API 50CH acid
68371	17716 ChEBI	lactose	-	builds acid from	from API 50CH acid
68371	17306 ChEBI	maltose	-	builds acid from	from API 50CH acid
68371	6731 ChEBI	melezitose	-	builds acid from	from API 50CH acid
68371	28053 ChEBI	melibiose	-	builds acid from	from API 50CH acid
68371	320061 ChEBI	methyl alpha-D-glucopyranoside	-	builds acid from	from API 50CH acid
68371	43943 ChEBI	methyl alpha-D-mannoside	-	builds acid from	from API 50CH acid
68371	74863 ChEBI	methyl beta-D-xylopyranoside	-	builds acid from	from API 50CH acid
68371	17268 ChEBI	myo-inositol	-	builds acid from	from API 50CH acid
68371	59640 ChEBI	N-acetylglucosamine	-	builds acid from	from API 50CH acid
68371	0 ChEBI	Potassium 2-ketogluconate	-	builds acid from	from API 50CH acid
68371	0 ChEBI	Potassium 5-ketogluconate	-	builds acid from	from API 50CH acid
68371	16634 ChEBI	raffinose	-	builds acid from	from API 50CH acid
68371	15963 ChEBI	ribitol	-	builds acid from	from API 50CH acid
68371	17814 ChEBI	salicin	-	builds acid from	from API 50CH acid
68371	28017 ChEBI	starch	-	builds acid from	from API 50CH acid
68371	17992 ChEBI	sucrose	-	builds acid from	from API 50CH acid
68371	27082 ChEBI	trehalose	-	builds acid from	from API 50CH acid
68371	32528 ChEBI	turanose	-	builds acid from	from API 50CH acid
68371	17151 ChEBI	xylitol	-	builds acid from	from API 50CH acid

Antibiotic resistance

@ref	Metabolite	Is sensitive	Is resistant
120151	0129 (2,4-Diamino-6,7-di-iso-propylpteridine phosphate)

Enzymes

@ref	Value	Activity	Ec
120151	beta-galactosidase	-	3.2.1.23
120151	catalase	-	1.11.1.6
120151	gamma-glutamyltransferase	-	2.3.2.2
120151	gelatinase	-
120151	oxidase	-

API 50CHac

@ref	ControlQ	GLY	ERY	DARA	LARA	RIB	DXYL	LXYL	ADO	MDX	GAL	GLU	FRU	MNE	SBE	RHA	DUL	INO	MAN	SOR	MDM	MDG	NAG	AMY	ARB	ESC	SAL	CEL	MAL	LAC	MEL	SAC	TRE	INU	MLZ	RAF	AMD	GLYG	XLT	GEN	TUR	LYX	TAG	DFUC	LFUC	DARL	LARL	GNT	2KG	5KG
120151	not determinedn.d.	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Food production	#Fermented
#Host	#Fungi	-
#Engineered	#Food production	#Beverage

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent	Isolation date
4493	tea fungus beverage (Komucha)		Switzerland	CHE	Europe
67770	Liquid phase of a tea fungus beverage (Kombucha)
120151	Swiss Kombucha beverage	Zurich	Switzerland	CHE	Europe	1996

Taxonmaps

69479

Global distribution of 16S sequence Y14694 (>99% sequence identity) for Komagataeibacter from Microbeatlas

Aquatic Samples	523
Soil Samples	662
Animal Samples	2327
Plant Samples	555
Total Samples	4067

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
4493	1	Risk group (German classification) According to TRBA 466
120151	1	Risk group (French classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	NCBI tax ID	Score
124043	ASM94928128v1 assembly for Komagataeibacter intermedius LMG 18909	contig	GCA_949281285	66229.12	66229	50.94
67770	ASM96442v1 assembly for Komagataeibacter intermedius TF2	scaffold	GCA_000964425	1231353.3	1231353	0

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
20218	Gluconacetobacter intermedius gene for 16S rRNA, partial sequence, strain: JCM 16936	AB645730	1411	66229
20218	Gluconacetobacter intermedius strain LMG 18909 16S ribosomal RNA gene, partial sequence	JF793990	1351	66229
20218	Gluconacetobacter intermedius strain DSM 11804 16S ribosomal RNA gene, partial sequence	JF793991	1352	66229
20218	Gluconacetobacter intermedius strain LMG 18909T 16S ribosomal RNA gene, partial sequence; 16S-23S ribosomal RNA intergenic spacer, tRNA-Ile and tRNA-Ala genes, complete sequence; and 23S ribosomal RNA gene, partial sequence	KC478452	747	66229
20218	Gluconacetobacter intermedius strain DSM 11804T 16S ribosomal RNA gene, partial sequence; 16S-23S ribosomal RNA intergenic spacer, tRNA-Ile and tRNA-Ala genes, complete sequence; and 23S ribosomal RNA gene, partial sequence	KC478454	749	66229
4493	Acetobacter intermedius 16S rRNA gene	Y14694	1481	66229
124043	Komagataeibacter intermedius partial 16S rRNA gene, strain LMG 18909	OX424603	1485	66229

GC content

@ref	GC-content (mol%)	Method
67770	61.6	thermal denaturation, midpoint method (Tm)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM94928128v1 assembly for Komagataeibacter intermedius LMG 18909
NCBI: GCA_949281285

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	aerobe	94.44	no
125439	gram_stain	BacteriaNetⓘ	negative	96.13	no
125439	motility	BacteriaNetⓘ	yes	74.88	no
125439	spore_formation	BacteriaNetⓘ	no	99.37	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Komagataeibacter intermedius TF2
PATRIC: 1231353.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	96.83	no
125438	anaerobic	anaerobicⓘ	no	88.18	no
125438	spore-forming	spore-formingⓘ	no	86.51	no
125438	aerobic	aerobicⓘ	yes	75.79	no
125438	thermophilic	thermophileⓘ	no	97.75	yes
125438	flagellated	motile2+ⓘ	no	57.64	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Cultivation	LED light emission and olive pomace-rich culture medium in potentiating bacterial cellulose synthesis and improving biopolymer properties.	Rodrigues P, Khelifa H, Schreiner TB, Halla N, Barreiro MFF, Crugeira PJL.	J Photochem Photobiol B	10.1016/j.jphotobiol.2025.113287	2025
	Effects of kombucha-derived microbial fermentation on the flavor profile of grape fruit pulp based on electronic nose analysis, HPLC, GC-MS and GC-IMS.	Qiao C, Wang Y, Xia S, Ji Q, Huo L, Zhang H, Pan L.	J Sci Food Agric	10.1002/jsfa.70315	2025
	Metagenome-based microbial metabolic strategies to mitigate ruminal methane emissions using Komagataeibacter-based symbiotics	Kang MG, Kwak MJ, Kang A, Park J, Lee DJ, Mun J, Kim S, Mun D, Lee W, Choi H, Seo E, Choi Y, Jeong KC, Oh S, Kim J, Kim Y.	Science of the Total Environment.		2025
	Physicochemical properties of bacterial cellulose from a strain of Komagataeibacter intermedius and analytical studies on its application.	Wang L, Zheng H, Wang W, Deng K, Tian H.	Int J Biol Macromol	10.1016/j.ijbiomac.2024.137472	2024
Genetics	Metagenome-based microbial metabolic strategies to mitigate ruminal methane emissions using Komagataeibacter-based symbiotics.	Kang MG, Kwak MJ, Kang A, Park J, Lee DJ, Mun J, Kim S, Mun D, Lee W, Choi H, Seo E, Choi Y, Jeong KC, Oh S, Kim J, Kim Y.	Sci Total Environ	10.1016/j.scitotenv.2025.179793	2025
	Production of grape marc kombucha: Valorization of a wine by-product	Balmaseda A, Romeu E, Mas A, Portillo MC.	Lebensm Wiss Technol		2024
	Investigation of anti-adherence and antimicrobial properties of prodigiosin-functionalized bacterial cellulose membrane for biomedical applications.	Diken-Gur S.	J Biotechnol	10.1016/j.jbiotec.2024.03.002	2024
	Comparative Analysis of Microbial Communities and Biopolymer Production in Kombucha.	Nam Y, Seo G, Kim Y, Kim SR, Kim JN.	J Microbiol Biotechnol	10.4014/jmb.2508.08004	2025
	Nutritional Supplementation with Amino Acids on Bacterial Cellulose Production by Komagataeibacter intermedius: Effect Analysis and Application of Response Surface Methodology.	Gomes RJ, Ida EI, Spinosa WA.	Appl Biochem Biotechnol	10.1007/s12010-022-04013-4	2022
	GO-Enabled Bacterial Cellulose Membranes by Multistep, In Situ Loading: Effect of Bacterial Strain and Loading Pattern on Nanocomposite Properties.	Gabrys T, Fryczkowska B, Jancic U, Trcek J, Gorgieva S.	Materials (Basel)	10.3390/ma16031296	2023
Metabolism	Coproduction of bacterial cellulose and pear vinegar by fermentation of pear peel and pomace.	Ma X, Yuan H, Wang H, Yu H.	Bioprocess Biosyst Eng	10.1007/s00449-021-02599-3	2021
Biotechnology	Utilization of Hydrolyzed Agro-Industrial Waste from Arti-Chokes to Obtain Structurally Functional Bacterial Cellulose by Komagataeibacter rhaeticus QK23.	Quinones-Cerna CE, Barraza-Jauregui G, Cruz-Monzon JA, Hurtado-Butron F, Soriano-Bernilla BS, Gutierrez-Rodriguez DM, Huanes-Carranza J, Ugarte-Lopez W, Rodriguez-Soto JC, Robles-Castillo HM, Lopez-Quiroz E, De La Cruz-Noriega M.	Polymers (Basel)	10.3390/polym17202783	2025
	Characterization, genome analysis and genetic tractability studies of a new nanocellulose producing Komagataeibacter intermedius isolate.	Cannazza P, Rissanen AJ, Sarlin E, Guizelini D, Minardi C, Losoi P, Molinari F, Romano D, Mangayil R.	Sci Rep	10.1038/s41598-022-24735-z	2022
Genetics	Customized 16S-23S rDNA ITS Amplicon Metagenomics for Acetic Acid Bacteria Species Identification in Vinegars and Kombuchas.	Ribic A, Trcek J.	Microorganisms	10.3390/microorganisms12051023	2024
	The Effect of Dekkera bruxellensis Concentration and Inoculation Time on Biochemical Changes and Cellulose Biosynthesis by Komagataeibacter intermedius.	Devanthi PVP, Pratama F, Kho K, Taherzadeh MJ, Aslanzadeh S.	J Fungi (Basel)	10.3390/jof8111206	2022
Phylogeny	Komagataeibacter intermedius V-05: An Acetic Acid Bacterium Isolated from Vinegar Industry, with High Capacity for Bacterial Cellulose Production in Soybean Molasses Medium.	Gomes RJ, de Sousa Faria-Tischer PC, Tischer CA, Constantino LV, de Freitas Rosa M, Chideroli RT, de Padua Pereira U, Spinosa WA, Spinosa WA.	Food Technol Biotechnol	10.17113/ftb.59.04.21.7148	2021
	The Antimicrobial Effects of Bacterial Cellulose Produced by Komagataeibacter intermedius in Promoting Wound Healing in Diabetic Mice.	Hsu CY, Hsu CY, Lin SC, Wu YH, Hu CY, Chen YT, Chen YC.	Int J Mol Sci	10.3390/ijms23105456	2022
	Green-synthesized alpha-Fe₂O₃-nanoparticles as potent antibacterial, anti-biofilm and anti-virulence agent against pathogenic bacteria.	Fatih HJ, Ashengroph M, Sharifi A, Zorab MM.	BMC Microbiol	10.1186/s12866-024-03699-2	2024
Metabolism	Isolation and identification of cellulose-producing strain Komagataeibacter intermedius from fermented fruit juice.	Lin SP, Huang YH, Hsu KD, Lai YJ, Chen YK, Cheng KC.	Carbohydr Polym	10.1016/j.carbpol.2016.06.032	2016
	The Potential of Pediococcus acidilactici Cell-Free Supernatant as a Preservative in Food Packaging Materials.	Kho K, Kadar AD, Bani MD, Pramanda IT, Martin L, Chrisdianto M, Pratama F, Devanthi PVP.	Foods	10.3390/foods13050644	2024
	Do Kombucha Symbiotic Cultures of Bacteria and Yeast Affect Bacterial Cellulose Yield in Molasses?	Devanthi PVP, Kho K, Nurdiansyah R, Briot A, Taherzadeh MJ, Aslanzadeh S.	J Fungi (Basel)	10.3390/jof7090705	2021
Enzymology	Temperate bacteriophages collected by outer membrane vesicles in Komagataeibacter intermedius.	Kharina A, Podolich O, Faidiuk I, Zaika S, Haidak A, Kukharenko O, Zaets I, Tovkach F, Reva O, Kremenskoy M, Kozyrovska N.	J Basic Microbiol	10.1002/jobm.201400711	2015
	Efficient production of bacterial cellulose based composites using zein protein extracted from corn gluten meal.	Kumar M, Kumar V, Saran S.	J Food Sci Technol	10.1007/s13197-022-05443-y	2023
	Reduction in Pathogenic Biofilms by the Photoactive Composite of Bacterial Cellulose and Nanochitosan Dots under Blue and Green Light.	Zmejkoski DZ, Zdravkovic NM, Budimir Filimonovic MD, Pavlovic VB, Butulija SV, Milivojevic DD, Markovic ZM, Todorovic Markovic BM.	J Funct Biomater	10.3390/jfb15030072	2024
	Utilizing kombucha culture for coffee fermentation and biochemical characteristic analysis.	Kim H, Jeon J, Lee J, Song C, Gu B, Kim NM, Yang TH, Oh S, Park S, Pal K, Kim GJ, Kim D.	Curr Res Food Sci	10.1016/j.crfs.2025.100996	2025
	Fitness of Outer Membrane Vesicles From Komagataeibacter intermedius Is Altered Under the Impact of Simulated Mars-like Stressors Outside the International Space Station.	Podolich O, Kukharenko O, Zaets I, Orlovska I, Palchykovska L, Zaika L, Sysoliatin S, Zubova G, Reva O, Galkin M, Horid'ko T, Kosiakova H, Borisova T, Kravchenko V, Skoryk M, Kremenskoy M, Ghosh P, Barh D, Goes-Neto A, Azevedo V, de Vera JP, Kozyrovska N.	Front Microbiol	10.3389/fmicb.2020.01268	2020
	Effect of addition of gamma-poly glutamic acid on bacterial nanocellulose production under agitated culture conditions.	Bai Y, Tan R, Yan Y, Chen T, Feng Y, Sun Q, Li J, Wang Y, Liu F, Wang J, Zhang Y, Cheng X, Wu G.	Biotechnol Biofuels Bioprod	10.1186/s13068-024-02515-3	2024
	Evaluation of Microbial Dynamics of Kombucha Consortia upon Continuous Backslopping in Coffee and Orange Juice.	Andreson M, Kazantseva J, Malv E, Kuldjarv R, Priidik R, Kutt ML.	Foods	10.3390/foods12193545	2023
	Co-production of pigment and high value-added bacterial nanocellulose from Suaeda salsa biomass with improved efficiency of enzymatic saccharification and fermentation.	Tan R, Sun Q, Yan Y, Chen T, Wang Y, Li J, Guo X, Fan Z, Zhang Y, Chen L, Wu G, Wu N.	Front Bioeng Biotechnol	10.3389/fbioe.2023.1307674	2023
Enzymology	Enhanced bacterial cellulose production in Komagataeibacter sucrofermentans: impact of different PQQ-dependent dehydrogenase knockouts and ethanol supplementation.	Montenegro-Silva P, Ellis T, Dourado F, Gama M, Domingues L.	Biotechnol Biofuels Bioprod	10.1186/s13068-024-02482-9	2024
	Effects of Synthesis Parameters on Structure and Antimicrobial Properties of Bacterial Cellulose/Hydroxyapatite/TiO₂ Polymer-Ceramic Composite Material.	Sknepnek A, Filipovic S, Pavlovic VB, Mirkovic N, Miletic D, Grzetic J, Mirkovic M.	Polymers (Basel)	10.3390/polym16040470	2024
	Impact of Cultivation and Origin on the Fruit Microbiome of Apples and Blueberries and Implications for the Exposome.	Wicaksono WA, Buko A, Kusstatscher P, Cernava T, Sinkkonen A, Laitinen OH, Virtanen SM, Hyoty H, Berg G.	Microb Ecol	10.1007/s00248-022-02157-8	2023
	A systematic, complexity-reduction approach to dissect the kombucha tea microbiome.	Huang X, Xin Y, Lu T.	Elife	10.7554/elife.76401	2022
Phylogeny	16S rRNA in situ Hybridization Followed by Flow Cytometry for Rapid Identification of Acetic Acid Bacteria Involved in Submerged Industrial Vinegar Production.	Trcek J, Lipoglavsek L, Avgustin G.	Food Technol Biotechnol	10.17113/ftb.54.01.16.4041	2016
Metabolism	A Diverse Range of Human Gut Bacteria Have the Potential To Metabolize the Dietary Component Gallic Acid.	Esteban-Torres M, Santamaria L, Cabrera-Rubio R, Plaza-Vinuesa L, Crispie F, de Las Rivas B, Cotter P, Munoz R.	Appl Environ Microbiol	10.1128/aem.01558-18	2018
Phylogeny	Bitter friends are not always toxic: The loss of acetic acid bacteria and the absence of Komagataeibacter in the gut microbiota of the polyphagous fly Anastrepha ludens could inhibit its development in Psidium guajava in contrast to A. striata and A. fraterculus that flourish in this host.	Ochoa-Sanchez M, Cerqueda-Garcia D, Moya A, Ibarra-Laclette E, Altuzar-Molina A, Desgarennes D, Aluja M.	Front Microbiol	10.3389/fmicb.2022.979817	2022
Genetics	Combining omics tools for the characterization of the microbiota of diverse vinegars obtained by submerged culture: 16S rRNA amplicon sequencing and MALDI-TOF MS.	Roman-Camacho JJ, Garcia-Garcia I, Santos-Duenas IM, Ehrenreich A, Liebl W, Garcia-Martinez T, Mauricio JC.	Front Microbiol	10.3389/fmicb.2022.1055010	2022
	Research progress on alternative kombucha substrate transformation and the resulting active components.	Su J, Tan Q, Tang Q, Tong Z, Yang M.	Front Microbiol	10.3389/fmicb.2023.1254014	2023
	Bactericidal and antioxidant bacterial cellulose hydrogels doped with chitosan as potential urinary tract infection biomedical agent.	Zmejkoski DZ, Markovic ZM, Zdravkovic NM, Trisic DD, Budimir MD, Kuzman SB, Kozyrovska NO, Orlovska IV, Bugarova N, Petrovic DZ, Kovacova M, Kleinova A, Spitalsky Z, Pavlovic VB, Todorovic Markovic BM.	RSC Adv	10.1039/d0ra10782d	2021
	Kombucha: a novel model system for cooperation and conflict in a complex multi-species microbial ecosystem.	May A, Narayanan S, Alcock J, Varsani A, Maley C, Aktipis A.	PeerJ	10.7717/peerj.7565	2019
Metabolism	GqqA, a novel protein in Komagataeibacter europaeus involved in bacterial quorum quenching and cellulose formation.	Valera MJ, Mas A, Streit WR, Mateo E.	Microb Cell Fact	10.1186/s12934-016-0482-y	2016
	Comparison of Cultivable Acetic Acid Bacterial Microbiota in Organic and Conventional Apple Cider Vinegar.	Stornik A, Skok B, Trcek J.	Food Technol Biotechnol	10.17113/ftb.54.01.16.4082	2016
	Kombucha Beverage from Green, Black and Rooibos Teas: A Comparative Study Looking at Microbiology, Chemistry and Antioxidant Activity.	Gaggia F, Baffoni L, Galiano M, Nielsen DS, Jakobsen RR, Castro-Mejia JL, Bosi S, Truzzi F, Musumeci F, Dinelli G, Di Gioia D.	Nutrients	10.3390/nu11010001	2018
Enzymology	Molecular characterization of RNase III protein of Asaia sp. for developing a robust RNAi-based paratransgensis tool to affect the sexual life-cycle of Plasmodium or Anopheles fitness.	Asgari M, Ilbeigikhamsehnejad M, Rismani E, Dinparast Djadid N, Raz A.	Parasit Vectors	10.1186/s13071-020-3889-6	2020
	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
	Description of Komagataeibacter melaceti sp. nov. and Komagataeibacter melomenusus sp. nov. Isolated from Apple Cider Vinegar.	Maric L, Cleenwerck I, Accetto T, Vandamme P, Trcek J.	Microorganisms	10.3390/microorganisms8081178	2020
Phylogeny	Acetobacter intermedius, sp. nov.	Boesch C, Trcek J, Sievers M, Teuber M	Syst Appl Microbiol	10.1016/S0723-2020(98)80026-X	1998

References

#4493	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 11804
#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 )
#39826	; Curators of the CIP;
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#68371	Automatically annotated from API 50CH acid .
#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 .
#120151	Collection of Institut Pasteur ; Curators of the CIP; CIP 105780
#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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Komagataeibacter intermedius (DSM 11804, BCC 36457, JCM 16936)

Name and taxonomic classification

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Physiology and metabolism

Oxygen tolerance

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API 50CHac

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