Gluconacetobacter diazotrophicus (DSM 5601, ATCC 49037, LMG 7603)

Name: Gluconacetobacter diazotrophicus (DSM 5601, ATCC 49037, LMG 7603)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 40

Type strain

Strain Designation PA 5

Culture col. no. DSM 5601 ATCC 49037 LMG 7603 CCUG 37298 PA 5 1 more

NCBI tax ID(s) 272568 33996

Special Collections DSMZ CCUG Literature strains CIP

History <- LMG <- J. Döbereiner, PA 5 CIP <- 1992, LMG <- J. Döbereiner, Algoas, Brazil

Links

Gluconacetobacter diazotrophicus PA 5 is a bacterium that was isolated from sugarcane roots.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 14550

LMG 7603,ATCC 49037,CCUG 37298,CIP 103539,DSM 5601,NCIMB 12985,LMD 89.154,KCTC 2804,NCCB 89154,BCRC 16088,CCRC 16088,NCPPB 4371

@ref 20215

Last LPSN update 2026-02-09 11:17:47

Domain Bacteria

Phylum Pseudomonadota

Class Alphaproteobacteria

Order Rhodospirillales

Family Acetobacteraceae

Genus Gluconacetobacter

Species Gluconacetobacter diazotrophicus

Full scientific name Gluconacetobacter diazotrophicus corrig. (Gillis et al. 1989) Yamada et al. 1998

Synonyms (2)

Acetobacter diazotrophicus
Gluconoacetobacter diazotrophicus

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	91.4
125438	negative	97.302

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
2248	SABOURAND GLUCOSE MEDIUM (DSMZ Medium 1429)	Medium recipe at MediaDive	Name: SABOURAUD GLUCOSE MEDIUM (DSMZ Medium 1429) Composition: SABOURAUD- Glucose-Bouillon 30.0 g/l Agar 15.0 g/l Distilled water
40703	MEDIUM 1 - for Acetobacter, Azotobacter, Gluconobacter, Gluconacetobacter, Mesorhizodium ciceri and Pseudomonas doudoroffii		Distilled water make up to (1000.000 ml);Agar (15.000 g);Yeast extract (5.000 g);Peptone (3.000 g);Mannitol (25.000 g)
118928	CIP Medium 1	Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)
2248	positive	growth	28
40703	positive	growth	30

Physiology and metabolism

Spore formation

@ref	Spore formation	Confidence
125439		94.7

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
22919	27518 ChEBI	acetylene	+	reduction
22919	28885 ChEBI	butanol	-	growth
22919	17108 ChEBI	D-arabinose	+	growth
22919	12936 ChEBI	D-galactose	+	growth
22919	17634 ChEBI	D-glucose	+	growth
22919	16899 ChEBI	D-mannitol	+	growth
22919	17924 ChEBI	D-sorbitol	+	growth
22919	65327 ChEBI	D-xylose	+/-	growth
22919	16236 ChEBI	ethanol	+/-	growth
22919	16813 ChEBI	galactitol	-	growth
22919	28260 ChEBI	galactose	+	growth
22919	24265 ChEBI	gluconate	+	growth
22919	17754 ChEBI	glycerol	+	growth
22919	15428 ChEBI	glycine	-	growth
22919	16977 ChEBI	L-alanine	+	nitrogen source
22919	29991 ChEBI	L-aspartate	+	nitrogen source
22919	17561 ChEBI	L-cysteine	+	nitrogen source
22919	28120 ChEBI	L-fructose	+	growth
22919	29985 ChEBI	L-glutamate	+	nitrogen source
22919	15603 ChEBI	L-leucine	+/-	growth
22919	18019 ChEBI	L-lysine	+/-	growth
22919	16643 ChEBI	L-methionine	-	growth
22919	17203 ChEBI	L-proline	+	nitrogen source
22919	62345 ChEBI	L-rhamnose	-	growth
22919	16857 ChEBI	L-threonine	-	growth
22919	16828 ChEBI	L-tryptophan	+	nitrogen source
22919	17716 ChEBI	lactose	-	growth
22919	25115 ChEBI	malate	-	growth
22919	17306 ChEBI	maltose	+/-	growth
22919	37684 ChEBI	mannose	+/-	growth
22919	28053 ChEBI	melibiose	+/-	growth
22919	17790 ChEBI	methanol	-	growth
22919	17268 ChEBI	myo-inositol	-	growth
22919	17632 ChEBI	nitrate	-	reduction
22919	16634 ChEBI	raffinose	+	growth
22919	30911 ChEBI	sorbitol	+	carbon source
22919	28017 ChEBI	starch	-	growth
22919	17992 ChEBI	sucrose	+	growth

Enzymes

@ref	Value	Activity	Ec
22919	catalase	+	1.11.1.6
22919	cytochrome oxidase	-	1.9.3.1

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	biotin biosynthesis	100	4 of 4
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	sulfopterin metabolism	100	4 of 4
66794	coenzyme A metabolism	100	4 of 4
66794	formaldehyde oxidation	100	3 of 3
66794	ketogluconate metabolism	100	8 of 8
66794	quinate degradation	100	2 of 2
66794	methylglyoxal degradation	100	5 of 5
66794	propanol degradation	100	7 of 7
66794	ethanol fermentation	100	2 of 2
66794	threonine metabolism	100	10 of 10
66794	cis-vaccenate biosynthesis	100	2 of 2
66794	starch degradation	100	10 of 10
66794	cardiolipin biosynthesis	100	7 of 7
66794	butanoate fermentation	100	4 of 4
66794	gluconeogenesis	100	8 of 8
66794	taurine degradation	100	1 of 1
66794	ceramide biosynthesis	100	1 of 1
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	folate polyglutamylation	100	1 of 1
66794	suberin monomers biosynthesis	100	2 of 2
66794	palmitate biosynthesis	100	22 of 22
66794	ppGpp biosynthesis	100	4 of 4
66794	tetrahydrofolate metabolism	100	14 of 14
66794	C4 and CAM-carbon fixation	100	8 of 8
66794	vitamin B1 metabolism	92.31	12 of 13
66794	phenylalanine metabolism	92.31	12 of 13
66794	pentose phosphate pathway	90.91	10 of 11
66794	Entner Doudoroff pathway	90	9 of 10
66794	myo-inositol biosynthesis	90	9 of 10
66794	glutamate and glutamine metabolism	89.29	25 of 28
66794	lipid A biosynthesis	88.89	8 of 9
66794	aspartate and asparagine metabolism	88.89	8 of 9
66794	NAD metabolism	88.89	16 of 18
66794	molybdenum cofactor biosynthesis	88.89	8 of 9
66794	chorismate metabolism	88.89	8 of 9
66794	CO2 fixation in Crenarchaeota	88.89	8 of 9
66794	methionine metabolism	88.46	23 of 26
66794	isoleucine metabolism	87.5	7 of 8
66794	reductive acetyl coenzyme A pathway	85.71	6 of 7
66794	photosynthesis	85.71	12 of 14
66794	purine metabolism	81.91	77 of 94
66794	vitamin B6 metabolism	81.82	9 of 11
66794	flavin biosynthesis	80	12 of 15
66794	glycogen metabolism	80	4 of 5
66794	peptidoglycan biosynthesis	80	12 of 15
66794	alanine metabolism	79.31	23 of 29
66794	citric acid cycle	78.57	11 of 14
66794	allantoin degradation	77.78	7 of 9
66794	serine metabolism	77.78	7 of 9
66794	pyrimidine metabolism	77.78	35 of 45
66794	valine metabolism	77.78	7 of 9
66794	lactate fermentation	75	3 of 4
66794	acetate fermentation	75	3 of 4
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	75	6 of 8
66794	glycogen biosynthesis	75	3 of 4
66794	CMP-KDO biosynthesis	75	3 of 4
66794	proline metabolism	72.73	8 of 11
66794	ubiquinone biosynthesis	71.43	5 of 7
66794	heme metabolism	71.43	10 of 14
66794	glutathione metabolism	71.43	10 of 14
66794	propionate fermentation	70	7 of 10
66794	degradation of sugar alcohols	68.75	11 of 16
66794	sulfoquinovose degradation	66.67	2 of 3
66794	d-mannose degradation	66.67	6 of 9
66794	degradation of aromatic, nitrogen containing compounds	66.67	8 of 12
66794	L-lactaldehyde degradation	66.67	2 of 3
66794	acetoin degradation	66.67	2 of 3
66794	glycolate and glyoxylate degradation	66.67	4 of 6
66794	octane oxidation	66.67	2 of 3
66794	cyanate degradation	66.67	2 of 3
66794	isoprenoid biosynthesis	65.38	17 of 26
66794	glycolysis	64.71	11 of 17
66794	degradation of pentoses	64.29	18 of 28
66794	tyrosine metabolism	64.29	9 of 14
66794	metabolism of disaccharids	63.64	7 of 11
66794	non-pathway related	63.16	24 of 38
66794	oxidative phosphorylation	62.64	57 of 91
66794	dTDPLrhamnose biosynthesis	62.5	5 of 8
66794	arginine metabolism	62.5	15 of 24
66794	histidine metabolism	62.07	18 of 29
66794	phosphatidylethanolamine bioynthesis	61.54	8 of 13
66794	lipid metabolism	61.29	19 of 31
66794	tryptophan metabolism	60.53	23 of 38
66794	cellulose degradation	60	3 of 5
66794	creatinine degradation	60	3 of 5
66794	degradation of sugar acids	60	15 of 25
66794	lysine metabolism	59.52	25 of 42
66794	arachidonic acid metabolism	55.56	10 of 18
66794	cysteine metabolism	55.56	10 of 18
66794	d-xylose degradation	54.55	6 of 11
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	3-phenylpropionate degradation	53.33	8 of 15
66794	kanosamine biosynthesis II	50	1 of 2
66794	aminopropanol phosphate biosynthesis	50	1 of 2
66794	adipate degradation	50	1 of 2
66794	pantothenate biosynthesis	50	3 of 6
66794	degradation of hexoses	50	9 of 18
66794	ribulose monophosphate pathway	50	1 of 2
66794	vitamin B12 metabolism	50	17 of 34
66794	mannosylglycerate biosynthesis	50	1 of 2
66794	glycine metabolism	50	5 of 10
66794	ascorbate metabolism	45.45	10 of 22
66794	cholesterol biosynthesis	45.45	5 of 11
66794	4-hydroxymandelate degradation	44.44	4 of 9
66794	bile acid biosynthesis, neutral pathway	41.18	7 of 17
66794	factor 420 biosynthesis	40	2 of 5
66794	lipoate biosynthesis	40	2 of 5
66794	gallate degradation	40	2 of 5
66794	arachidonate biosynthesis	40	2 of 5
66794	phenol degradation	40	8 of 20
66794	androgen and estrogen metabolism	37.5	6 of 16
66794	carnitine metabolism	37.5	3 of 8
66794	sphingosine metabolism	33.33	2 of 6
66794	(5R)-carbapenem carboxylate biosynthesis	33.33	1 of 3
66794	selenocysteine biosynthesis	33.33	2 of 6
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	nitrate assimilation	33.33	3 of 9
66794	enterobactin biosynthesis	33.33	1 of 3
66794	IAA biosynthesis	33.33	1 of 3
66794	phenylpropanoid biosynthesis	30.77	4 of 13
66794	polyamine pathway	30.43	7 of 23
66794	coenzyme M biosynthesis	30	3 of 10
66794	carotenoid biosynthesis	27.27	6 of 22
66794	cyclohexanol degradation	25	1 of 4
66794	catecholamine biosynthesis	25	1 of 4
66794	toluene degradation	25	1 of 4
66794	alginate biosynthesis	25	1 of 4

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Plants	#Herbaceous plants (Grass,Crops)
#Host Body-Site	#Plant	#Root (Rhizome)

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent	Isolation date
2248	sugarcane roots	Alagoas	Brazil	BRA	Middle and South America
53588	Root,Saccharum officinarum	Alagoas	Brazil	BRA	Middle and South America
118928	Plant, Roots of Saccharum officinarum, sugarcane		Brazil	BRA	Middle and South America	1987

Taxonmaps

69479

Global distribution of 16S sequence X75618 (>99% sequence identity) for Gluconacetobacter diazotrophicus from Microbeatlas

Aquatic Samples	234
Soil Samples	473
Animal Samples	677
Plant Samples	2281
Total Samples	3665

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
2248	1	Risk group (German classification) According to TRBA 466
118928	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
124043	ASM2132v1 assembly for Gluconacetobacter diazotrophicus PA1 5 PAl 5; ATCC 49037	complete	GCA_000021325	272568.11	643348555	272568	98.36
66792	ASM6704v1 assembly for Gluconacetobacter diazotrophicus PA1 5 PAl 5	complete	GCA_000067045	272568.12	641228493	272568	97.62
66792	ASM1417431v1 assembly for Gluconacetobacter diazotrophicus LMG 7603	contig	GCA_014174315	33996.48	8116554675	33996	39.79

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
20218	A.diazotrophicus gene for 16S ribosomal RNA	X75618	1485	272568
20218	Gluconacetobacter diazotrophicus strain DSM 5601 16S ribosomal RNA gene, partial sequence	JF793977	1356	33996
20218	Gluconacetobacter diazotrophicus strain LMG 7603 16S ribosomal RNA gene, partial sequence	JF793976	1356	33996
20218	Mutant Gluconacetobacter diazotrophicus PAL5 substrain B5 16S-23S ribosomal RNA intergenic spacer, partial sequence; and tRNA-Ile (trnI) gene, complete sequence	EF999412	230	272568
20218	Mutant Gluconacetobacter diazotrophicus PAL5 substrain B9 16S-23S ribosomal RNA intergenic spacer, partial sequence	EF999413	319	272568

GC content

2248

GC-content (mol%)61.0

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Gluconacetobacter diazotrophicus PAl 5 (Prj:21071)
PATRIC: 272568.11

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	94.70	no
125439	motility	BacteriaNetⓘ	yes	58.90	no
125439	gram_stain	BacteriaNetⓘ	negative	91.40	no
125439	oxygen_tolerance	BacteriaNetⓘ	facultative aerobe	69.10	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Gluconacetobacter diazotrophicus PAl 5
PATRIC: 272568.12

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	97.30	no
125438	anaerobic	anaerobicⓘ	no	93.16	no
125438	spore-forming	spore-formingⓘ	no	89.97	no
125438	aerobic	aerobicⓘ	yes	84.56	no
125438	thermophilic	thermophileⓘ	no	96.09	no
125438	flagellated	motile2+ⓘ	yes	68.96	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Gluconacetobacter diazotrophicus Pal5 Enhances Plant Robustness Status under the Combination of Moderate Drought and Low Nitrogen Stress in Zea mays L.	Tufail MA, Touceda-Gonzalez M, Pertot I, Ehlers RU.	Microorganisms	10.3390/microorganisms9040870	2021
Metabolism	Effect of metabolosome encapsulation peptides on enzyme activity, coaggregation, incorporation, and bacterial microcompartment formation.	Juodeikis R, Lee MJ, Mayer M, Mantell J, Brown IR, Verkade P, Woolfson DN, Prentice MB, Frank S, Warren MJ.	Microbiologyopen	10.1002/mbo3.1010	2020
	Quantification of Azospirillum brasilense FP2 Bacteria in Wheat Roots by Strain-Specific Quantitative PCR.	Stets MI, Alqueres SM, Souza EM, Pedrosa Fde O, Schmid M, Hartmann A, Cruz LM.	Appl Environ Microbiol	10.1128/aem.01351-15	2015
	Effectiveness of Plant Beneficial Microbes: Overview of the Methodological Approaches for the Assessment of Root Colonization and Persistence.	Romano I, Ventorino V, Pepe O.	Front Plant Sci	10.3389/fpls.2020.00006	2020
Metabolism	Distribution and properties of the genes encoding the biosynthesis of the bacterial cofactor, pyrroloquinoline quinone.	Shen YQ, Bonnot F, Imsand EM, RoseFigura JM, Sjolander K, Klinman JP.	Biochemistry	10.1021/bi201763d	2012
Phylogeny	Web-based software for rapid top-down proteomic identification of protein biomarkers, with implications for bacterial identification.	Fagerquist CK, Garbus BR, Williams KE, Bates AH, Boyle S, Harden LA.	Appl Environ Microbiol	10.1128/aem.00079-09	2009
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
	Enhanced extracellular ammonium release in the plant endophyte Gluconacetobacter diazotrophicus through genome editing.	Dietz BR, Olszewski NE, Barney BM.	Microbiol Spectr	10.1128/spectrum.02478-23	2024
	Evidence of Downregulation in Atmospheric Nitrogen-Fixation Associated with Native Hawaiian Sugarcane (Saccharum officinarum L.) Cultivars.	Lincoln N, Santiago RP, Tatum D, Del Valle-Echevarria AR.	Plants (Basel)	10.3390/plants12030605	2023
	Gluconacetobacter diazotrophicus Gene Fitness during Diazotrophic Growth.	Schwister EM, Dietz BR, Knutson CM, Olszewski NE, Barney BM.	Appl Environ Microbiol	10.1128/aem.01241-22	2022
	Genetic modification of flavone biosynthesis in rice enhances biofilm formation of soil diazotrophic bacteria and biological nitrogen fixation.	Yan D, Tajima H, Cline LC, Fong RY, Ottaviani JI, Shapiro HY, Blumwald E.	Plant Biotechnol J	10.1111/pbi.13894	2022
Enzymology	Dissection and Reconstitution Provide Insights into Electron Transport in the Membrane-Bound Aldehyde Dehydrogenase Complex of Gluconacetobacter diazotrophicus.	Miah R, Nina S, Murate T, Kataoka N, Matsutani M, Ano Y, Matsushita K, Yakushi T.	J Bacteriol	10.1128/jb.00558-21	2022
Biotechnology	Fusarium Oxysporum f. sp. Cannabis Isolated from Cannabis Sativa L.: In Vitro and In Planta Biocontrol by a Plant Growth Promoting-Bacteria Consortium.	Pellegrini M, Ercole C, Gianchino C, Bernardi M, Pace L, Del Gallo M.	Plants (Basel)	10.3390/plants10112436	2021
Metabolism	Intracellular Polyphosphate Levels in Gluconacetobacter diazotrophicus Affect Tolerance to Abiotic Stressors and Biofilm Formation.	Grillo-Puertas M, Delaporte-Quintana P, Pedraza RO, Rapisarda VA.	Microbes Environ	10.1264/jsme2.me18044	2018
Genetics	Mining of Microbial Genomes for the Novel Sources of Nitrilases.	Sharma N, Thakur N, Raj T, Savitri, Bhalla TC.	Biomed Res Int	10.1155/2017/7039245	2017
	Elimination of aromatic fusel alcohols as by-products of Saccharomyces cerevisiae strains engineered for phenylpropanoid production by 2-oxo-acid decarboxylase replacement.	Hassing EJ, Buijs J, Blankerts N, Luttik MA, Hulster EA, Pronk JT, Daran JM.	Metab Eng Commun	10.1016/j.mec.2021.e00183	2021
Metabolism	The oxidative fermentation of ethanol in Gluconacetobacter diazotrophicus is a two-step pathway catalyzed by a single enzyme: alcohol-aldehyde Dehydrogenase (ADHa).	Gomez-Manzo S, Escamilla JE, Gonzalez-Valdez A, Lopez-Velazquez G, Vanoye-Carlo A, Marcial-Quino J, de la Mora-de la Mora I, Garcia-Torres I, Enriquez-Flores S, Contreras-Zentella ML, Arreguin-Espinosa R, Kroneck PM, Sosa-Torres ME.	Int J Mol Sci	10.3390/ijms16011293	2015
	Diversity of bacteria nesting the plant cover of north Sinai deserts, Egypt.	Hanna AL, Youssef HH, Amer WM, Monib M, Fayez M, Hegazi NA.	J Adv Res	10.1016/j.jare.2011.11.003	2013
Metabolism	Structure and functional characterization of pyruvate decarboxylase from Gluconacetobacter diazotrophicus.	van Zyl LJ, Schubert WD, Tuffin MI, Cowan DA.	BMC Struct Biol	10.1186/s12900-014-0021-1	2014
Metabolism	Molecular and catalytic properties of the aldehyde dehydrogenase of Gluconacetobacter diazotrophicus, a quinoheme protein containing pyrroloquinoline quinone, cytochrome b, and cytochrome c.	Gomez-Manzo S, Chavez-Pacheco JL, Contreras-Zentella M, Sosa-Torres ME, Arreguin-Espinosa R, Perez de la Mora M, Membrillo-Hernandez J, Escamilla JE.	J Bacteriol	10.1128/jb.00589-10	2010
Genetics	Complete genome sequence of the sugarcane nitrogen-fixing endophyte Gluconacetobacter diazotrophicus Pal5.	Bertalan M, Albano R, de Padua V, Rouws L, Rojas C, Hemerly A, Teixeira K, Schwab S, Araujo J, Oliveira A, Franca L, Magalhaes V, Alqueres S, Cardoso A, Almeida W, Loureiro MM, Nogueira E, Cidade D, Oliveira D, Simao T, Macedo J, Valadao A, Dreschsel M, Freitas F, Vidal M, Guedes H, Rodrigues E, Meneses C, Brioso P, Pozzer L, Figueiredo D, Montano H, Junior J, de Souza Filho G, Martin Quintana Flores V, Ferreira B, Branco A, Gonzalez P, Guillobel H, Lemos M, Seibel L, Macedo J, Alves-Ferreira M, Sachetto-Martins G, Coelho A, Santos E, Amaral G, Neves A, Pacheco AB, Carvalho D, Lery L, Bisch P, Rossle SC, Urmenyi T, Rael Pereira A, Silva R, Rondinelli E, von Kruger W, Martins O, Baldani JI, Ferreira PC.	BMC Genomics	10.1186/1471-2164-10-450	2009
	Identification of three genes encoding P(II)-like proteins in Gluconacetobacter diazotrophicus: studies of their role(s) in the control of nitrogen fixation.	Perlova O, Ureta A, Nordlund S, Meletzus D.	J Bacteriol	10.1128/jb.185.19.5854-5861.2003	2003
Metabolism	Indole-3-acetic acid biosynthesis is deficient in Gluconacetobacter diazotrophicus strains with mutations in cytochrome c biogenesis genes.	Lee S, Flores-Encarnacion M, Contreras-Zentella M, Garcia-Flores L, Escamilla JE, Kennedy C.	J Bacteriol	10.1128/jb.186.16.5384-5391.2004	2004
Phylogeny	CVTree3 Web Server for Whole-genome-based and Alignment-free Prokaryotic Phylogeny and Taxonomy.	Zuo G, Hao B.	Genomics Proteomics Bioinformatics	10.1016/j.gpb.2015.08.004	2015
Metabolism	Response of the endophytic diazotroph Gluconacetobacter diazotrophicus on solid media to changes in atmospheric partial O(2) pressure.	Pan B, Vessey JK.	Appl Environ Microbiol	10.1128/aem.67.10.4694-4700.2001	2001
Genetics	Two genome sequences of the same bacterial strain, Gluconacetobacter diazotrophicus PAl 5, suggest a new standard in genome sequence submission.	Giongo A, Tyler HL, Zipperer UN, Triplett EW	Stand Genomic Sci	10.4056/sigs.972221	2010
Phylogeny	Effects of the inoculation of Burkholderia vietnamensis and related endophytic diazotrophic bacteria on grain yield of rice.	Govindarajan M, Balandreau J, Kwon SW, Weon HY, Lakshminarasimhan C	Microb Ecol	10.1007/s00248-007-9247-9	2007
Phylogeny	A putative new endophytic nitrogen-fixing bacterium Pantoea sp. from sugarcane.	Loiret FG, Ortega E, Kleiner D, Ortega-Rodes P, Rodes R, Dong Z	J Appl Microbiol	10.1111/j.1365-2672.2004.02329.x	2004
	Further observations on the interaction between sugar cane and Gluconacetobacter diazotrophicus under laboratory and greenhouse conditions.	James EK, Olivares FL, de Oliveira AL, dos Reis FB Jr, da Silva LG, Reis VM	J Exp Bot	10.1093/jexbot/52.357.747	2001

References

#2248	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 5601
#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 )
#22919	L E Fuentes-Ramírez, R Bustillos-Cristales, A Tapia-Hernández, T Jiménez-Salgado, E T Wang, E Martínez-Romero, J Caballero-Mellado: Novel nitrogen-fixing acetic acid bacteria, Gluconacetobacter johannae sp. nov. and Gluconacetobacter azotocaptans sp. nov., associated with coffee plants.. IJSEM 51: 1305 - 1314 2001 ( DOI 10.1099/00207713-51-4-1305 , PubMed 11491326 )
#40703	; Curators of the CIP;
#53588	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 37298
#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 )
#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 .
#118928	Collection of Institut Pasteur ; Curators of the CIP; CIP 103539
#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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Gluconacetobacter diazotrophicus (DSM 5601, ATCC 49037, LMG 7603)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Spore formation

Metabolite utilization

Enzymes

Pathway annotation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_000021325

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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