Acinetobacter junii (DSM 6964, ATCC 17908, NCTC 10307)

Name: Acinetobacter junii (DSM 6964, ATCC 17908, NCTC 10307)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 8086

Type strain

Strain Designation 64.5

Culture col. no. DSM 6964 ATCC 17908 NCTC 10307 CCUG 889 KCTC 12406 5 more

NCBI tax ID(s) 1217664 40215

Special Collections DSMZ CCUG KCTC CIP

Links

Acinetobacter junii 64.5 is an obligate aerobe, mesophilic, Gram-negative prokaryote that was isolated from human urine.

Gram-negative rod-shaped obligate aerobe mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 389268

LMG 998,ATCC 17908,CCM 2376,CCUG 889,LMG 10573,NCIMB 12459,NCTC 10307,NCTC 12153,NBIMCC 146,DSM 6964,NCIB 12459,BCRC 14854,CCRC 14854,KCTC 12406,CIP 64.5,VTT E-981121

@ref 20215

Last LPSN update 2025-12-16 09:48:45

Domain Pseudomonadati

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Pseudomonadales

Family Moraxellaceae

Genus Acinetobacter

Species Acinetobacter junii

Full scientific name Acinetobacter junii Bouvet and Grimont 1986

Synonyms (2)

Acinetobacter grimontii
"Acinetobacter plantarum"

BacDive ID	Other strains from **Acinetobacter junii** (12)	Type strain
8085	A. junii DSM 1532, NRRL B-8058
8087	A. junii 17AO4, CCUG 50767, DSM 14968, CIP 107470, ...
135965	A. junii CIP 51.35
136748	A. junii CIP 110443, NIPH 182
137127	A. junii CIP 70.25, ATCC 19001
137401	A. junii CIP 55.115
139457	A. junii CIP 51.14
142791	A. junii CCUG 14819
155469	A. junii CCUG 57821
173095	A. junii CIP 110876, CIP 200005
173096	A. junii CIP 110882, CIP 200011
176684	A. junii Dres_AcJun_01, DSM 120183

Morphology

Cell morphology

@ref	Gram stain	Cell shape	Confidence
120367	negative	rod-shaped
125439	negative		95.6
125438	negative		99

Colony morphology

120367

Hemolysis ability1

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
2925	CASO AGAR (MERCK 105458) (DSMZ Medium 220)	Medium recipe at MediaDive	Name: CASO AGAR (Merck 105458) (DSMZ Medium 220) Composition: Agar 15.0 g/l Casein peptone 15.0 g/l NaCl 5.0 g/l Soy peptone 5.0 g/l Distilled water
42155	MEDIUM 72- for trypto casein soja agar		Distilled water make up to (1000.000 ml);Trypto casein soy agar (40.000 g)
120367	CIP Medium 72	Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
2925	positive	growth	28	mesophilic
42155	positive	growth	30	mesophilic
120367	positive	growth	30-41
120367	negative	growth	10
120367	negative	growth	25
120367	negative	growth	45

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
120367	obligate aerobe
125438	aerobe	92.422
125439	obligate aerobe	98

Spore formation

@ref	Spore formation	Confidence
125439		95.9
125438		93.992

Halophily

@ref	Salt	Growth	Tested relation	Concentration
120367	NaCl	positive	growth	0-4 %
120367	NaCl		growth	6 %
120367	NaCl		growth	8 %
120367	NaCl		growth	10 %

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68369	17128 ChEBI	adipate	-	assimilation	from API 20NE
68369	29016 ChEBI	arginine	-	hydrolysis	from API 20NE
120367	16947 ChEBI	citrate	+	carbon source
68369	17634 ChEBI	D-glucose	-	assimilation	from API 20NE
68369	17634 ChEBI	D-glucose	-	fermentation	from API 20NE
68369	16899 ChEBI	D-mannitol	-	assimilation	from API 20NE
68369	16024 ChEBI	D-mannose	-	assimilation	from API 20NE
68369	27689 ChEBI	decanoate	+	assimilation	from API 20NE
68369	4853 ChEBI	esculin	-	hydrolysis	from API 20NE
68369	5291 ChEBI	gelatin	-	hydrolysis	from API 20NE
68369	24265 ChEBI	gluconate	-	assimilation	from API 20NE
68369	30849 ChEBI	L-arabinose	-	assimilation	from API 20NE
68369	25115 ChEBI	malate	-	assimilation	from API 20NE
68369	17306 ChEBI	maltose	-	assimilation	from API 20NE
68369	59640 ChEBI	N-acetylglucosamine	-	assimilation	from API 20NE
120367	17632 ChEBI	nitrate	+	reduction
120367	17632 ChEBI	nitrate	-	respiration
68369	17632 ChEBI	nitrate	-	reduction	from API 20NE
120367	16301 ChEBI	nitrite	-	reduction
68369	27897 ChEBI	tryptophan	-	energy source	from API 20NE
68369	16199 ChEBI	urea	-	hydrolysis	from API 20NE

Antibiotic resistance

@ref	Metabolite	Is sensitive	Is resistant
120367	0129 (2,4-Diamino-6,7-di-iso-propylpteridine phosphate)

Metabolite production

@ref	Chebi-ID	Metabolite	Production
120367	35581 ChEBI	indole
68369	35581 ChEBI	indole		from API 20NE

Metabolite tests

@ref	Chebi-ID	Metabolite	Indole test	Voges-proskauer-test	Methylred-test
120367	15688 ChEBI	acetoin		-
120367	17234 ChEBI	glucose			-
68369	35581 ChEBI	indole	-			from API 20NE

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
68369	arginine dihydrolase	-	3.5.3.6	from API 20NE
68382	beta-galactosidase	-	3.2.1.23	from API zym
120367	beta-galactosidase	-	3.2.1.23
68382	beta-glucosidase	-	3.2.1.21	from API zym
68369	beta-glucosidase	-	3.2.1.21	from API 20NE
68382	beta-glucuronidase	-	3.2.1.31	from API zym
120367	catalase	+	1.11.1.6
68382	cystine arylamidase	+	3.4.11.3	from API zym
68369	cytochrome oxidase	-	1.9.3.1	from API 20NE
68382	esterase (C 4)	+		from API zym
68382	esterase lipase (C 8)	+		from API zym
120367	gamma-glutamyltransferase	-	2.3.2.2
120367	gelatinase	-
68369	gelatinase	-		from API 20NE
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
120367	oxidase	-
68382	trypsin	-	3.4.21.4	from API zym
120367	urease	-	3.5.1.5
68369	urease	-	3.5.1.5	from API 20NE
68382	valine arylamidase	-		from API zym

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
120367	-	-	+	+	+	+	-	+	-	-	+	+	-	-	-	-	-	-	-	-

API 20NE

@ref	Reduction of nitratesNO3	TRP	GLU_ Ferm	ADH (Arg)	URE	ESC	GEL	PNPG	GLU_ Assim	ARA	MNE	MAN	NAG	MAL	GNT	CAP	ADI	MLT	CIT	PAC	OX
2925	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	+	-	-	+	-	-
2925	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	+	-	-	+	-	-

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
120367	not determinedn.d.	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	+	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	+	-	+	+	+	-	+	+	-	-	-	-	-	-	-	+	-	+	+	+	+	-	-	+	+	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Human	-
#Host Body Product	#Fluids	#Urine

Isolation

@ref	Sample type
2925	human urine
44296	Human urine
120367	Human, Urine

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
2925	2	Risk group (German classification) According to TRBA 466
120367	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	46338_C01 assembly for Acinetobacter junii NCTC10307	contig	GCA_900444875	40215.64	8116452636	40215	78.56
124043	Acin_juni_CIP_64_5_V1 assembly for Acinetobacter junii CIP 64.5	scaffold	GCA_000368765	1217664.8	2534682021	1217664	71.24

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
20218	Acinetobacter junii 16S rRNA gene, partial	AJ247204	452	40215
20218	Acinetobacter junii genomic DNA containing 16S-23S IGS, strain ATCC 17908, direct sequence All	HE651782	707	40215
20218	Acinetobacter junii 16S rRNA gene, strain ATCC 17908	HE651916	1529	40215
20218	Acinetobacter junii 16S rRNA gene (strain ATCC 17908T)	Z93438	1416	40215
2925	A.junii 16S rRNA gene (DSM6964)	X81664	1459	40215
124043	Acinetobacter junii 16S rRNA gene, type strain LMG 998	AM410704	1406	40215
124043	Acinetobacter junii strain ATCC 17908 16S ribosomal RNA gene, partial sequence.	MK184296	1529	40215

GC content

@ref	GC-content (mol%)	Method
2925	42.0	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: Acinetobacter junii NCTC10307
NCBI: GCA_900444875

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	95.90	no
125439	motility	BacteriaNetⓘ	no	50.40	no
125439	gram_stain	BacteriaNetⓘ	negative	95.60	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.00	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Acinetobacter junii strain NCTC10307
PATRIC: 40215.64

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	99.00	no
125438	anaerobic	anaerobicⓘ	no	98.33	yes
125438	spore-forming	spore-formingⓘ	no	93.99	no
125438	aerobic	aerobicⓘ	yes	92.42	no
125438	thermophilic	thermophileⓘ	no	98.50	yes
125438	flagellated	motile2+ⓘ	no	75.92	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	Biodegradation of Oil by a Newly Isolated Strain Acinetobacter junii WCO-9 and Its Comparative Pan-Genome Analysis.	Jiang S, Fan Q, Zhang Z, Deng Y, Wang L, Dai Q, Wang J, Lin M, Zhou J, Long Z, He G, Zhou Z.	Microorganisms	10.3390/microorganisms11020407	2023
	Bacterial diversity in water from Xifeng Hot Spring in China.	Wu L, Long H, Huang S, Niu X, Li S, Yu X, You L, Ran X, Wang J.	Braz J Microbiol	10.1007/s42770-023-01070-7	2023
	ZnO-Doped Metal-Organic Frameworks Nanoparticles: Antibacterial Activity and Mechanisms.	Zheng H, Zhong B, Wang Q, Li X, Chen J, Liu L, Liu T.	Int J Mol Sci	10.3390/ijms241512238	2023
	Probiotic Therapy During Vaccination Alters Antibody Response to Simian-Human Immunodeficiency Virus Infection But Not to Commensals.	Wilson A, Manuzak JA, Liang H, Leda AR, Klatt N, Lynch RM.	AIDS Res Hum Retroviruses	10.1089/aid.2022.0123	2023
Pathogenicity	Cathelicidin-OA1, a novel antioxidant peptide identified from an amphibian, accelerates skin wound healing.	Cao X, Wang Y, Wu C, Li X, Fu Z, Yang M, Bian W, Wang S, Song Y, Tang J, Yang X.	Sci Rep	10.1038/s41598-018-19486-9	2018
	Gut Bacteria Induce Granzyme B Expression in Human Colonic ILC3s In Vitro in an IL-15-Dependent Manner.	Castleman MJ, Dillon SM, Thompson TA, Santiago ML, McCarter MD, Barker E, Wilson CC.	J Immunol	10.4049/jimmunol.2000239	2021
	Granzyme B⁺ CD4 T cells accumulate in the colon during chronic HIV-1 infection.	Dillon SM, Mickens KL, Thompson TA, Cooper EH, Nesladek S, Christians AJ, Castleman M, Guo K, Wood C, Frank DN, Kechris K, Santiago ML, Wilson CC.	Gut Microbes	10.1080/19490976.2022.2045852	2022
	Development of a Colloidal Gold-Based Immunochromatographic Strip for Rapid Detection of Klebsiella pneumoniae Serotypes K1 and K2.	Siu LK, Tsai YK, Lin JC, Chen TL, Fung CP, Chang FY.	J Clin Microbiol	10.1128/jcm.01608-16	2016
	Commensal and Pathogenic Bacteria Indirectly Induce IL-22 but Not IFNgamma Production From Human Colonic ILC3s via Multiple Mechanisms.	Castleman MJ, Dillon SM, Purba CM, Cogswell AC, Kibbie JJ, McCarter MD, Santiago ML, Barker E, Wilson CC.	Front Immunol	10.3389/fimmu.2019.00649	2019
	Enteric bacteria induce IFNgamma and Granzyme B from human colonic Group 1 Innate Lymphoid Cells.	Castleman MJ, Dillon SM, Purba C, Cogswell AC, McCarter M, Barker E, Wilson C.	Gut Microbes	10.1080/19490976.2019.1667723	2020
	Rapid identification of Acinetobacter spp. by fluorescence in situ hybridization (FISH) from colony and blood culture material.	Frickmann H, Essig A, Hagen RM, Riecker M, Jerke K, Ellison D, Poppert S.	Eur J Microbiol Immunol (Bp)	10.1556/eujmi.1.2011.4.4	2011
Enzymology	Rapid detection of Brucella spp. in blood cultures by fluorescence in situ hybridization.	Wellinghausen N, Nockler K, Sigge A, Bartel M, Essig A, Poppert S.	J Clin Microbiol	10.1128/jcm.44.5.1828-1830.2006	2006
Pathogenicity	The first identified cathelicidin from tree frogs possesses anti-inflammatory and partial LPS neutralization activities.	Mu L, Zhou L, Yang J, Zhuang L, Tang J, Liu T, Wu J, Yang H.	Amino Acids	10.1007/s00726-017-2449-7	2017
Pathogenicity	Burkholderia is highly resistant to human Beta-defensin 3.	Sahly H, Schubert S, Harder J, Rautenberg P, Ullmann U, Schroder J, Podschun R.	Antimicrob Agents Chemother	10.1128/aac.47.5.1739-1741.2003	2003
	Increased mucosal neutrophil survival is associated with altered microbiota in HIV infection.	Hensley-McBain T, Wu MC, Manuzak JA, Cheu RK, Gustin A, Driscoll CB, Zevin AS, Miller CJ, Coronado E, Smith E, Chang J, Gale M, Somsouk M, Burgener AD, Hunt PW, Hope TJ, Collier AC, Klatt NR.	PLoS Pathog	10.1371/journal.ppat.1007672	2019
Enzymology	Quantitative real-time Legionella PCR for environmental water samples: data interpretation.	Joly P, Falconnet PA, Andre J, Weill N, Reyrolle M, Vandenesch F, Maurin M, Etienne J, Jarraud S.	Appl Environ Microbiol	10.1128/aem.72.4.2801-2808.2006	2006
	Survival of Acinetobacter baumannii on dry surfaces.	Wendt C, Dietze B, Dietz E, Ruden H.	J Clin Microbiol	10.1128/jcm.35.6.1394-1397.1997	1997
Enzymology	Superiority of molecular techniques for identification of gram-negative, oxidase-positive rods, including morphologically nontypical Pseudomonas aeruginosa, from patients with cystic fibrosis.	Wellinghausen N, Kothe J, Wirths B, Sigge A, Poppert S.	J Clin Microbiol	10.1128/jcm.43.8.4070-4075.2005	2005
Enzymology	Influence of relative humidity and suspending menstrua on survival of Acinetobacter spp. on dry surfaces.	Jawad A, Heritage J, Snelling AM, Gascoyne-Binzi DM, Hawkey PM.	J Clin Microbiol	10.1128/jcm.34.12.2881-2887.1996	1996
Enzymology	Detection of Legionella species in respiratory specimens using PCR with sequencing confirmation.	Cloud JL, Carroll KC, Pixton P, Erali M, Hillyard DR.	J Clin Microbiol	10.1128/jcm.38.5.1709-1712.2000	2000
Metabolism	Identification and analysis of a gene encoding L-2,4-diaminobutyrate:2-ketoglutarate 4-aminotransferase involved in the 1,3-diaminopropane production pathway in Acinetobacter baumannii.	Ikai H, Yamamoto S.	J Bacteriol	10.1128/jb.179.16.5118-5125.1997	1997
	Plasmid DNA fingerprinting of Acinetobacter species other than Acinetobacter baumannii.	Seifert H, Schulze A, Baginski R, Pulverer G.	J Clin Microbiol	10.1128/jcm.32.1.82-86.1994	1994
Enzymology	Detection of legionellae in hospital water samples by quantitative real-time LightCycler PCR.	Wellinghausen N, Frost C, Marre R.	Appl Environ Microbiol	10.1128/aem.67.9.3985-3993.2001	2001
Phylogeny	Reliability of phenotypic tests for identification of Acinetobacter species.	Gerner-Smidt P, Tjernberg I, Ursing J.	J Clin Microbiol	10.1128/jcm.29.2.277-282.1991	1991
	Acinetobacter spp. as nosocomial pathogens: microbiological, clinical, and epidemiological features.	Bergogne-Berezin E, Towner KJ.	Clin Microbiol Rev	10.1128/cmr.9.2.148	1996
	A comprehensive genomic analysis provides insights on the high environmental adaptability of Acinetobacter strains.	Zhao Y, Wei HM, Yuan JL, Xu L, Sun JQ.	Front Microbiol	10.3389/fmicb.2023.1177951	2023
	Sequence-Specific Electrochemical Genosensor for Rapid Detection of bla_OXA-51-like Gene in Acinetobacter baumannii.	Kanapathy S, Obande GA, Chuah C, Shueb RH, Yean CY, Banga Singh KK.	Microorganisms	10.3390/microorganisms10071413	2022
Phylogeny	A primary assessment of the endophytic bacterial community in a xerophilous moss (Grimmia montana) using molecular method and cultivated isolates.	Liu XL, Liu SL, Liu M, Kong BH, Liu L, Li YH.	Braz J Microbiol	10.1590/s1517-83822014000100022	2014
Phylogeny	The impact of horizontal gene transfer on targeting the internal transcribed spacer region (ITS) to identify Acinetobacter junii strains.	Maslunka C, Gurtler V, Seviour RJ	J Appl Microbiol	10.1111/jam.12800	2015
Phylogeny	Acinetobacter corruptisaponis sp. nov., Isolated from a Spoiled Bath Lotion.	Wang YS, Zhou G, Tao HB, Gao L, Fang BZ, Yang XJ, Peng H, Wen X, Huang XM, Wang J, Li WJ, Shi QS, Xie XB.	Curr Microbiol	10.1007/s00284-024-03921-4	2024

References

#2925	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 6964
#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 )
#42155	; Curators of the CIP;
#44296	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 889
#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) .
#68369	Automatically annotated from API 20NE .
#68382	Automatically annotated from API zym .
#120367	Collection of Institut Pasteur ; Curators of the CIP; CIP 64.5
#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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Acinetobacter junii (DSM 6964, ATCC 17908, NCTC 10307)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Halophily

Metabolite utilization

Antibiotic resistance

Metabolite production

Metabolite tests

Enzymes

API zym

API 20NE

API biotype100

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_900444875

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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