Acinetobacter beijerinckii (DSM 22901, CCM 7266, CCUG 51249)

Name: Acinetobacter beijerinckii (DSM 22901, CCM 7266, CCUG 51249)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 8141

Type strain

Strain Designation 58a

Culture col. no. DSM 22901 CCM 7266 CCUG 51249 JCM 18990 NIPH 838 6 more

NCBI tax ID(s) 1217648 262668

Special Collections DSMZ CCUG JCM CIP Literature strains

History <- CCUG <- A. Nemec, Centre Epidemiol. and Microbiol., Natl. Inst. Public Health (NIPH), Prague, Czech Republic <- I. Tjernberg, Univ. Lund, Malmö General Hospital, Sweden; 58a DSM 22901 <-- CCUG 51249 <-- A. Nemec <-- I. Tjernberg 58a. CIP <- 2011, CCUG <- 2005, CCM <- I. Tjernberg, Malmö Hosp., Malmö, Sweden: strain 58a

Links

Acinetobacter beijerinckii 58a is an aerobe, Gram-negative, ovoid-shaped human pathogen that was isolated from human wound.

Gram-negative ovoid-shaped aerobe human pathogen genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 360498

DSM 22901,JCM 18990,NBRC112579,CCUG 51249,CCM 7266,LMG 25324,CIP 110307

@ref 20215

Last LPSN update 2026-02-09 11:19:38

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Pseudomonadales

Family Moraxellaceae

Genus Acinetobacter

Species Acinetobacter beijerinckii

Full scientific name Acinetobacter beijerinckii Nemec et al. 2009

BacDive ID	Other strains from **Acinetobacter beijerinckii** (4)	Type strain
155026	A. beijerinckii CCUG 56139
155028	A. beijerinckii CCUG 56141
155718	A. beijerinckii CCUG 59131
171159	A. beijerinckii CIP 110492, ANC 3835

Morphology

Cell morphology

@ref	Gram stain	Cell shape	Confidence
28906	negative	ovoid-shaped
116771	negative	oval-shaped
125438	negative		99.488

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
16612	TRYPTICASE SOY BROTH AGAR (DSMZ Medium 535)	Medium recipe at MediaDive	Name: TRYPTICASE SOY BROTH AGAR (DSMZ Medium 535) Composition: Trypticase soy broth 30.0 g/l Agar 15.0 g/l Distilled water
42145	MEDIUM 72- for trypto casein soja agar		Distilled water make up to (1000.000 ml);Trypto casein soy agar (40.000 g)
116771	CIP Medium 72	Medium recipe at CIP
116771	CIP Medium 328	Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)
16612	positive	growth	28
28906	positive	growth	25-37
28906	positive	optimum	31
42145	positive	growth	30
59115	positive	growth	30
67770	positive	growth	30

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
28906	aerobe
59115	aerobe
116771	obligate aerobe
125438	aerobe	92.115
125439	obligate aerobe	98.9

Spore formation

@ref	Spore formation	Confidence
125438		94.024
125439		93.8

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
28906	30089 ChEBI	acetate	+	carbon source
68369	17128 ChEBI	adipate	-	assimilation	from API 20NE
68369	29016 ChEBI	arginine	-	hydrolysis	from API 20NE
28906	35391 ChEBI	aspartate	+	carbon source
28906	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
28906	16236 ChEBI	ethanol	+	carbon source
28906	5291 ChEBI	gelatin	+	carbon source
68369	5291 ChEBI	gelatin	-	hydrolysis	from API 20NE
68369	24265 ChEBI	gluconate	-	assimilation	from API 20NE
28906	27570 ChEBI	histidine	+	carbon source
68369	30849 ChEBI	L-arabinose	-	assimilation	from API 20NE
28906	25115 ChEBI	malate	+	carbon source
68369	25115 ChEBI	malate	+	assimilation	from API 20NE
28906	15792 ChEBI	malonate	+	carbon source
68369	17306 ChEBI	maltose	-	assimilation	from API 20NE
68369	59640 ChEBI	N-acetylglucosamine	-	assimilation	from API 20NE
116771	17632 ChEBI	nitrate	-	reduction
68369	17632 ChEBI	nitrate	-	reduction	from API 20NE
116771	16301 ChEBI	nitrite	-	reduction
68369	27897 ChEBI	tryptophan	-	energy source	from API 20NE
68369	16199 ChEBI	urea	-	hydrolysis	from API 20NE

Metabolite production

@ref	Chebi-ID	Metabolite	Production
68369	35581 ChEBI	indole		from API 20NE
116771	35581 ChEBI	indole

Metabolite tests

@ref	Chebi-ID	Metabolite	Indole test
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
68369	beta-glucosidase	-	3.2.1.21	from API 20NE
68382	beta-glucosidase	-	3.2.1.21	from API zym
68382	beta-glucuronidase	-	3.2.1.31	from API zym
28906	catalase	+	1.11.1.6
116771	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
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
116771	oxidase	-
68382	trypsin	-	3.4.21.4	from API zym
116771	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
116771	-	-	+	+	+	+	-	-	-	-	-	+	-	-	-	-	-	-	-	-

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
16612	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	+	-	+	+	-	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Human	-
#Host Body-Site	#Other	#Wound

Isolation

@ref	Sample type	Sampling date	Geographic location	Country	Country ISO 3 Code	Continent	Isolation date
16612	human wound		Malmö	Sweden	SWE	Europe
59115	Human wound	1980	Malmö	Sweden	SWE	Europe
67770	Wound of a patient at the hospital in Malmö			Sweden	SWE	Europe
116771	Human, Wound		Malmö	Sweden	SWE	Europe	1980

Interaction and safety

Risk assessment

@ref	Pathogenicity human	Pathogenicity animal	Biosafety level	Biosafety level comment
16612			2	Risk group (German classification) According to TRBA 466
116771			1	Risk group (French classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	Acin_beij_CIP_110307_V1 assembly for Acinetobacter beijerinckii CIP 110307	scaffold	GCA_000369005	1217648.3	2565956701	1217648	77.25
67770	ASM93171v1 assembly for Acinetobacter beijerinckii GTC 14628	contig	GCA_000931715	262668.4	2671180604	262668	73.65
124043	ASM4266144v1 assembly for Acinetobacter beijerinckii NBRC 112579	contig	GCA_042661445			262668	45.21

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
16612	Acinetobacter beijerinckii partial 16S rRNA gene, type strain LUH 4759T	AJ626712	1374		262668

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Acinetobacter beijerinckii CIP 110307
NCBI: GCA_000369005

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.90	no
125439	gram_stain	BacteriaNetⓘ	negative	88.20	no
125439	motility	BacteriaNetⓘ	no	51.20	no
125439	spore_formation	BacteriaNetⓘ	no	93.80	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Acinetobacter beijerinckii CIP 110307
PATRIC: 1217648.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	99.49	no
125438	anaerobic	anaerobicⓘ	no	97.13	yes
125438	spore-forming	spore-formingⓘ	no	94.02	no
125438	aerobic	aerobicⓘ	yes	92.12	yes
125438	thermophilic	thermophileⓘ	no	99.50	no
125438	flagellated	motile2+ⓘ	no	74.57	yes

Literature

Topic	Title	Authors	Journal	DOI	Year
Metabolism	Fluorescence anisotropy analysis of the mechanism of action of mesenterocin 52A: speculations on antimicrobial mechanism.	Jasniewski J, Cailliez-Grimal C, Younsi M, Milliere JB, Revol-Junelles AM.	Appl Microbiol Biotechnol	10.1007/s00253-008-1677-x	2008
Genetics	New Insight into Antimicrobial Compounds from Food and Marine-Sourced Carnobacterium Species through Phenotype and Genome Analyses.	Begrem S, Ivaniuk F, Gigout-Chevalier F, Kolypczuk L, Bonnetot S, Leroi F, Grovel O, Delbarre-Ladrat C, Passerini D.	Microorganisms	10.3390/microorganisms8071093	2020
Phylogeny	Acinetobacter kookii sp. nov., isolated from soil.	Choi JY, Ko G, Jheong W, Huys G, Seifert H, Dijkshoorn L, Ko KS	Int J Syst Evol Microbiol	10.1099/ijs.0.047969-0	2013
Phylogeny	Acinetobacter beijerinckii sp. nov. and Acinetobacter gyllenbergii sp. nov., haemolytic organisms isolated from humans.	Nemec A, Musilek M, Maixnerova M, De Baere T, van der Reijden TJ, Vaneechoutte M, Dijkshoorn L	Int J Syst Evol Microbiol	10.1099/ijs.0.001230-0	2009

References

#16612	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 22901
#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 )
#25345	IJSEM 118 2009 ( DOI 10.1099/ijs.0.001230-0 , PubMed 19126734 )
#28906	Barberan A, Caceres Velazquez H, Jones S, Fierer N.: Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information. mSphere 2: 2017 ( DOI 10.1128/mSphere.00237-17 , PubMed 28776041 ) - originally annotated from #25345
#42145	; Curators of the CIP;
#59115	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 51249
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#68369	Automatically annotated from API 20NE .
#68382	Automatically annotated from API zym .
#116771	Collection of Institut Pasteur ; Curators of the CIP; CIP 110307
#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 beijerinckii (DSM 22901, CCM 7266, CCUG 51249)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Metabolite utilization

Metabolite production

Metabolite tests

Enzymes

API zym

API 20NE

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_000369005

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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