Apilactobacillus kunkeei (CCUG 53901, CIP 107675, DSM 12361)

Name: Apilactobacillus kunkeei (CCUG 53901, CIP 107675, DSM 12361)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 6572

Type strain

Strain Designation YH-15

Culture col. no. CCUG 53901 CIP 107675 DSM 12361 ATCC 700308 JCM 16173 2 more

NCBI tax ID(s) 148814

Special Collections DSMZ CCUG JCM CIP

History <- M.D. Collins <- C.G. Edwards, YH-15 DSM 12361 <-- M. D. Collins <-- C. G. Edwards YH-15. CIP <- 2002, ATCC <- Huang et al. <- C.G. Edwards: strain YH-15

Links

Apilactobacillus kunkeei YH-15 is an aerobe, mesophilic, Gram-positive prokaryote that was isolated from commercial grape wine undergoing a sluggish/stuck alcoholic fermentation.

Gram-positive rod-shaped aerobe mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 12779

LMG 18925,ATCC 700308,DSM 12361,CCUG 53901,CIP 107675,JCM 16173

@ref 20215

Last LPSN update 2026-02-09 11:19:15

Domain Bacteria

Phylum Bacillota

Class Bacilli

Order Lactobacillales

Family Lactobacillaceae

Genus Apilactobacillus

Species Apilactobacillus kunkeei

Full scientific name Apilactobacillus kunkeei (Edwards et al. 1998) Zheng et al. 2020

Synonyms (1)

Lactobacillus kunkeei

Morphology

Cell morphology

@ref	Gram stain	Cell shape	Confidence
120511	positive	rod-shaped
125438			91.5
125438	positive		93.104

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
4620	PEDIOCOCCUS DAMNOSUS MEDIUM (DSMZ Medium 231)	Medium recipe at MediaDive	Name: PEDIOCOCCUS DAMNOSUS MEDIUM (DSMZ Medium 231) Composition: Glucose 20.0 g/l Casein peptone 10.0 g/l Meat extract 10.0 g/l Yeast extract 5.0 g/l Na-acetate 5.0 g/l K2HPO4 2.0 g/l (NH4)3 citrate 2.0 g/l Tween 80 1.0 g/l Cysteine hydrochloride 0.5 g/l MgSO4 x 7 H2O 0.2 g/l MnSO4 x H2O 0.05 g/l Distilled water
40718	MEDIUM 40- for Lactobacillus and Leuconostoc		Distilled water make up to (1000.000 ml);Man Rogosa Sharp agar (68.000 g)
120511	CIP Medium 40	Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
4620	positive	growth	30	mesophilic
40718	positive	growth	30	mesophilic
60069	positive	growth	30	mesophilic
67770	positive	growth	30	mesophilic
120511	positive	growth	22-37
120511	negative	growth	10
120511	negative	growth	15
120511	negative	growth	45

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance
60069	aerobe
120511	obligate aerobe

Spore formation

@ref	Spore formation	Confidence
125439		95.9

Murein

@ref	Murein short key	Type
4620	A11.31	A4alpha L-Lys-D-Asp

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	28847 ChEBI	D-fucose	-	builds acid from	from API 50CH acid
68371	12936 ChEBI	D-galactose	-	builds acid from	from API 50CH acid
68371	62318 ChEBI	D-lyxose	-	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	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
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
120511	17632 ChEBI	nitrate	-	reduction
120511	17632 ChEBI	nitrate	-	respiration
120511	16301 ChEBI	nitrite	-	reduction
68371		Potassium 2-ketogluconate	-	builds acid from	from API 50CH acid
68371		Potassium 5-ketogluconate	-	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	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
120511	0129 (2,4-Diamino-6,7-di-iso-propylpteridine phosphate)

Metabolite tests

@ref	Chebi-ID	Metabolite	Voges-proskauer-test
120511	15688 ChEBI	acetoin	-

Enzymes

@ref	Value	Activity	Ec
68382	acid phosphatase	+	3.1.3.2	from API zym
120511	alcohol dehydrogenase	-	1.1.1.1
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
68382	beta-glucosidase	-	3.2.1.21	from API zym
68382	beta-glucuronidase	-	3.2.1.31	from API zym
120511	catalase	-	1.11.1.6
68382	cystine arylamidase	-	3.4.11.3	from API zym
68382	esterase (C 4)	-		from API zym
68382	esterase lipase (C 8)	-		from API zym
68382	leucine arylamidase	+	3.4.11.1	from API zym
68382	lipase (C 14)	-		from API zym
120511	lysine decarboxylase	-	4.1.1.18
68382	N-acetyl-beta-glucosaminidase	-	3.2.1.52	from API zym
68382	naphthol-AS-BI-phosphohydrolase	+		from API zym
120511	ornithine decarboxylase	-	4.1.1.17
120511	oxidase	-
68382	trypsin	-	3.4.21.4	from API zym
68382	valine arylamidase	-		from API zym

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	palmitate biosynthesis	100	22 of 22
66794	cis-vaccenate biosynthesis	100	2 of 2
66794	formaldehyde oxidation	100	3 of 3
66794	ppGpp biosynthesis	100	4 of 4
66794	acetoin degradation	100	3 of 3
66794	ethanol fermentation	100	2 of 2
66794	coenzyme A metabolism	100	4 of 4
66794	teichoic acid biosynthesis	100	1 of 1
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	folate polyglutamylation	100	1 of 1
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	threonine metabolism	80	8 of 10
66794	peptidoglycan biosynthesis	80	12 of 15
66794	glycine betaine biosynthesis	80	4 of 5
66794	aspartate and asparagine metabolism	77.78	7 of 9
66794	phenylalanine metabolism	76.92	10 of 13
66794	vitamin B1 metabolism	76.92	10 of 13
66794	acetate fermentation	75	3 of 4
66794	C4 and CAM-carbon fixation	75	6 of 8
66794	cardiolipin biosynthesis	71.43	5 of 7
66794	photosynthesis	71.43	10 of 14
66794	purine metabolism	70.21	66 of 94
66794	serine metabolism	66.67	6 of 9
66794	chorismate metabolism	66.67	6 of 9
66794	sphingosine metabolism	66.67	4 of 6
66794	valine metabolism	66.67	6 of 9
66794	NAD metabolism	66.67	12 of 18
66794	glycolysis	64.71	11 of 17
66794	pentose phosphate pathway	63.64	7 of 11
66794	ketogluconate metabolism	62.5	5 of 8
66794	gluconeogenesis	62.5	5 of 8
66794	pyrimidine metabolism	62.22	28 of 45
66794	methionine metabolism	61.54	16 of 26
66794	leucine metabolism	61.54	8 of 13
66794	methylglyoxal degradation	60	3 of 5
66794	tetrahydrofolate metabolism	57.14	8 of 14
66794	degradation of sugar alcohols	56.25	9 of 16
66794	cysteine metabolism	55.56	10 of 18
66794	proline metabolism	54.55	6 of 11
66794	glutamate and glutamine metabolism	53.57	15 of 28
66794	phenylmercury acetate degradation	50	1 of 2
66794	glycolate and glyoxylate degradation	50	3 of 6
66794	butanoate fermentation	50	2 of 4
66794	sulfopterin metabolism	50	2 of 4
66794	mannosylglycerate biosynthesis	50	1 of 2
66794	suberin monomers biosynthesis	50	1 of 2
66794	tryptophan metabolism	47.37	18 of 38
66794	non-pathway related	47.37	18 of 38
66794	oxidative phosphorylation	46.15	42 of 91
66794	arginine metabolism	45.83	11 of 24
66794	d-mannose degradation	44.44	4 of 9
66794	CO2 fixation in Crenarchaeota	44.44	4 of 9
66794	propanol degradation	42.86	3 of 7
66794	mevalonate metabolism	42.86	3 of 7
66794	ubiquinone biosynthesis	42.86	3 of 7
66794	reductive acetyl coenzyme A pathway	42.86	3 of 7
66794	lysine metabolism	40.48	17 of 42
66794	propionate fermentation	40	4 of 10
66794	Entner Doudoroff pathway	40	4 of 10
66794	glycogen metabolism	40	2 of 5
66794	arachidonate biosynthesis	40	2 of 5
66794	O-antigen biosynthesis	40	2 of 5
66794	urea cycle	38.46	5 of 13
66794	isoleucine metabolism	37.5	3 of 8
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	37.5	3 of 8
66794	tyrosine metabolism	35.71	5 of 14
66794	alanine metabolism	34.48	10 of 29
66794	selenocysteine biosynthesis	33.33	2 of 6
66794	cyanate degradation	33.33	1 of 3
66794	L-lactaldehyde degradation	33.33	1 of 3
66794	IAA biosynthesis	33.33	1 of 3
66794	degradation of aromatic, nitrogen containing compounds	33.33	4 of 12
66794	lipid A biosynthesis	33.33	3 of 9
66794	octane oxidation	33.33	1 of 3
66794	glycine metabolism	30	3 of 10
66794	citric acid cycle	28.57	4 of 14
66794	vitamin B6 metabolism	27.27	3 of 11
66794	isoprenoid biosynthesis	26.92	7 of 26
66794	flavin biosynthesis	26.67	4 of 15
66794	lipid metabolism	25.81	8 of 31
66794	degradation of pentoses	25	7 of 28
66794	glycogen biosynthesis	25	1 of 4
66794	carnitine metabolism	25	2 of 8
66794	lactate fermentation	25	1 of 4
66794	cyclohexanol degradation	25	1 of 4
66794	histidine metabolism	24.14	7 of 29
66794	sulfate reduction	23.08	3 of 13
66794	degradation of hexoses	22.22	4 of 18
66794	nitrate assimilation	22.22	2 of 9
66794	glutathione metabolism	21.43	3 of 14

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
120511	-	-	-	-	-	+	-	-	-	-	+	+	-	-	-	-	-	-	-	-

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
4620	-	-	-	-	-	-	-	-	-	-	-	+	+	-	-	-	-	-	+/-	-	-	-	-	-	-	-	-	-	-	-	-	+	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
4620	-	-	-	-	-	-	-	-	-	-	-	+	+	-	-	-	-	-	+/-	+	-	-	-	-	-	-	-	-	-	-	-	+	-	-	-	+/-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
120511	not determinedn.d.	-	-	-	-	-	-	-	-	-	-	+/-	+/-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	+/-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-

Isolation, sampling and environmental information

Isolation source categories

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

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
4620	commercial grape wine undergoing a sluggish/stuck alcoholic fermentation		USA	USA	North America
60069	Partially fermented grape juice	California	USA	USA	North America
67770	Commercial Cabernet Sauvignon wine
120511	Partially fermented grape juice	California	United States of America	USA	North America

Taxonmaps

69479

Global distribution of 16S sequence Y11374 (>99% sequence identity) for Apilactobacillus kunkeei from Microbeatlas

Aquatic Samples	245
Soil Samples	270
Animal Samples	6066
Plant Samples	201
Total Samples	6782

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
4620	1	Risk group (German classification) According to TRBA 466
120511	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
66792	Apilactobacillus kunkeei YH-15	complete			2513237005	1423768	81.11
67770	ASM128126v1 assembly for Apilactobacillus kunkeei DSM 12361 = ATCC 700308 YH-15	contig	GCA_001281265	1423768.3	2654587709	1423768	75.53
67770	ASM143382v1 assembly for Apilactobacillus kunkeei DSM 12361 = ATCC 700308	scaffold	GCA_001433825	1423768.4	2660237901	1423768	73.73

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
4620	Lactobacillus kunkeei rRNA gene	Y11374	1517		1423768
67770	Lactobacillus kunkeei JCM 16173 gene for 16S rRNA, partial sequence	LC519853	1513		148814

GC content

@ref	GC-content (mol%)	Method
67770	36.4	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Apilactobacillus kunkeei DSM 12361 = ATCC 700308
NCBI: GCA_001433825

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	95.90	no
125439	motility	BacteriaNetⓘ	no	78.70	no
125439	gram_stain	BacteriaNetⓘ	positive	87.40	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	86.00	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Lactobacillus kunkeei DSM 12361 = ATCC 700308
PATRIC: 1423768.4

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	93.10	no
125438	anaerobic	anaerobicⓘ	no	82.65	yes
125438	spore-forming	spore-formingⓘ	no	87.90	no
125438	aerobic	aerobicⓘ	no	81.17	yes
125438	thermophilic	thermophileⓘ	no	93.42	yes
125438	flagellated	motile2+ⓘ	no	91.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Potential Application of Apilactobacillus kunkeei for Human Use: Evaluation of Probiotic and Functional Properties.	Vergalito F, Testa B, Cozzolino A, Letizia F, Succi M, Lombardi SJ, Tremonte P, Pannella G, Di Marco R, Sorrentino E, Coppola R, Iorizzo M.	Foods	10.3390/foods9111535	2020
	Evaluation of Functional Properties of Some Lactic Acid Bacteria Strains for Probiotic Applications in Apiculture	Urcan A, Criste A, Bobis O, Cornea-Cipcigan M, Giurgiu A, Dezmirean D.	Microorganisms		2024
	Adhesion and Anti-Adhesion Abilities of Potentially Probiotic Lactic Acid Bacteria and Biofilm Eradication of Honeybee (Apis mellifera L.) Pathogens.	Leska A, Nowak A, Czarnecka-Chrebelska KH.	Molecules	10.3390/molecules27248945	2022
	Characterization and Protective Properties of Lactic Acid Bacteria Intended to Be Used in Probiotic Preparation for Honeybees (Apis mellifera L.)-An In Vitro Study.	Leska A, Nowak A, Rosicka-Kaczmarek J, Ryngajllo M, Czarnecka-Chrebelska KH.	Animals (Basel)	10.3390/ani13061059	2023
Phylogeny	Comprehensive analysis of the microbiome in Apis cerana honey highlights honey as a potential source for the isolation of beneficial bacterial strains.	Lanh PT, Duong BTT, Thu HT, Hoa NT, Quyen DV.	PeerJ	10.7717/peerj.17157	2024
	Binding and Detoxification of Insecticides by Potentially Probiotic Lactic Acid Bacteria Isolated from Honeybee (Apis mellifera L.) Environment-An In Vitro Study.	Leska A, Nowak A, Miskiewicz K, Rosicka-Kaczmarek J.	Cells	10.3390/cells11233743	2022
	Antimicrobial Activity from Putative Probiotic Lactic Acid Bacteria for the Biological Control of American and European Foulbrood Diseases.	Iorizzo M, Ganassi S, Albanese G, Letizia F, Testa B, Tedino C, Petrarca S, Mutinelli F, Mazzeo A, De Cristofaro A.	Vet Sci	10.3390/vetsci9050236	2022
	Enhancing Antioxidant and Antimicrobial Activities in Bee-Collected Pollen through Solid-State Fermentation: A Comparative Analysis of Bioactive Compounds.	Urcan AC, Criste AD, Dezmirean DS, Bobis O, Bonta V, Burtescu RF, Olah NK, Cornea-Cipcigan M, Margaoan R.	Antioxidants (Basel)	10.3390/antiox13030292	2024
	Lipoteichoic acid composed of poly-glycerolphosphate containing l-lysine and involved in immunoglobulin A-inducing activity in Apilactobacillus genus.	Shiraishi T, Matsuzaki C, Chiou TY, Kumeta H, Kawada M, Yamamoto K, Takahashi T, Yokota SI.	Int J Biol Macromol	10.1016/j.ijbiomac.2024.132540	2024
	Kunkecin A, a New Nisin Variant Bacteriocin Produced by the Fructophilic Lactic Acid Bacterium, Apilactobacillus kunkeei FF30-6 Isolated From Honey Bees.	Zendo T, Ohashi C, Maeno S, Piao X, Salminen S, Sonomoto K, Endo A.	Front Microbiol	10.3389/fmicb.2020.571903	2020
	Colony performance of three native bumblebee species from South China and association with their gut microbiome.	Han L, Chang ZM, Ren CS, Chen XS, Smagghe G, Yuan YG, Long JK.	Insect Sci	10.1111/1744-7917.13351	2024
Enzymology	Biochemical characterization of a GH70 protein from Lactobacillus kunkeei DSM 12361 with two catalytic domains involving branching sucrase activity.	Meng X, Gangoiti J, Wang X, Grijpstra P, van Leeuwen SS, Pijning T, Dijkhuizen L	Appl Microbiol Biotechnol	10.1007/s00253-018-9236-6	2018
	Antagonistic Activity of Potentially Probiotic Lactic Acid Bacteria against Honeybee (Apis mellifera L.) Pathogens.	Leska A, Nowak A, Szulc J, Motyl I, Czarnecka-Chrebelska KH	Pathogens	10.3390/pathogens11111367	2022
Biotechnology	Characterization of the (Engineered) Branching Sucrase GtfZ-CD2 from Apilactobacillus kunkeei for Efficient Glucosylation of Benzenediol Compounds.	Meng X, Li X, Pijning T, Wang X, van Leeuwen SS, Dijkhuizen L, Chen G, Liu W	Appl Environ Microbiol	10.1128/aem.01031-22	2022
Phylogeny	Lactobacillus kosoi sp. nov., a fructophilic species isolated from koso, a Japanese sugar-vegetable fermented beverage.	Chiou TY, Suda W, Oshima K, Hattori M, Matsuzaki C, Yamamoto K, Takahashi T	Antonie Van Leeuwenhoek	10.1007/s10482-018-1019-7	2018
Phylogeny	Lactobacillus kunkeei sp. nov.: a spoilage organism associated with grape juice fermentations.	Edwards CG, Haag KM, Collins MD, Hutson RA, Huang YC	J Appl Microbiol	10.1046/j.1365-2672.1998.00399.x	1998

References

#4620	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 12361
#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 )
#40718	; Curators of the CIP;
#60069	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 53901
#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) .
#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;
#68371	Automatically annotated from API 50CH acid .
#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 .
#120511	Collection of Institut Pasteur ; Curators of the CIP; CIP 107675
#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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Apilactobacillus kunkeei (CCUG 53901, CIP 107675, DSM 12361)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Murein

Metabolite utilization

Antibiotic resistance

Metabolite tests

Enzymes

Pathway annotation

API zym

API 50CHac

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_001281265

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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