Acinetobacter seifertii (DSM 46612, IMET 10455, STI10455)

Name: Acinetobacter seifertii (DSM 46612, IMET 10455, STI10455)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 8078

Type strain

Culture col. no. DSM 46612 IMET 10455 STI10455

NCBI tax ID(s) 1530123

Special Collections DSMZ JMRC

History DSMZ <- IMET; IMET 10455 <- K. Karbaum; (Acinetobacter calcoaceticus)

Links

Acinetobacter seifertii DSM 46612 is a bacterium of the family Moraxellaceae.

genome sequence Bacteria

Name and taxonomic classification

SI-ID 50860

DSM 46612,IMET 10455

@ref 20215

Last LPSN update 2026-05-29 08:26:47

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Pseudomonadales

Family Moraxellaceae

Genus Acinetobacter

Species Acinetobacter seifertii

Full scientific name Acinetobacter seifertii Nemec et al. 2015

BacDive ID	Other strains from **Acinetobacter seifertii** (2)	Type strain
132199	A. seifertii Gerner-Smidt 10090, DSM 102854, CCM 8535, ... (type strain)
148078	A. seifertii CCUG 34787

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	98.5

Colony morphology

12586

Incubation period1-2 days

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
12586	NUTRIENT AGAR (DSMZ Medium 1)	Medium recipe at MediaDive	Name: NUTRIENT AGAR (DSMZ Medium 1) Composition: Agar 15.0 g/l Peptone 5.0 g/l Meat extract 3.0 g/l Distilled water
12586	COLUMBIA BLOOD MEDIUM (DSMZ Medium 693)	Medium recipe at MediaDive	Name: COLUMBIA BLOOD MEDIUM (DSMZ Medium 693) Composition: Defibrinated sheep blood 50.0 g/l Columbia agar base
12586	TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92)	Medium recipe at MediaDive	Name: TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92) Composition: Trypticase soy broth 30.0 g/l Agar 15.0 g/l Yeast extract 3.0 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
12586	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125438	aerobe	90.558
125439	obligate aerobe	97.478

Spore formation

@ref	Spore formation	Confidence
125439		98.68
125438		91.405

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
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
68369	17632 ChEBI	nitrate	-	reduction	from API 20NE
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

Metabolite tests

@ref	Chebi-ID	Metabolite	Indole test
68369	35581 ChEBI	indole	-	from API 20NE

Enzymes

@ref	Value	Activity	Ec
68369	arginine dihydrolase	-	3.5.3.6	from API 20NE
68369	beta-glucosidase	-	3.2.1.21	from API 20NE
12586	catalase	+	1.11.1.6
68369	cytochrome oxidase	-	1.9.3.1	from API 20NE
12586	cytochrome-c oxidase	-	1.9.3.1
68369	gelatinase	-		from API 20NE
68369	urease	-	3.5.1.5	from API 20NE

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
12586	-	-	+	-	-	-	-	-	+/-	-	-	-	-	-	-	+	+	+	+	+	-
12586	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	+	+	+	+	+	-

Isolation, sampling and environmental information

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
12586	2	Risk group (German classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	NCBI tax ID	Score
124043	ASM1904840v1 assembly for Acinetobacter seifertii FDAARGOS 1400	complete	GCA_019048405	1530123.102	1530123	99.36

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM1904840v1 assembly for Acinetobacter seifertii FDAARGOS 1400
BV-BRC: 1530123.102

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	97.48	no
125439	gram_stain	BacteriaNetⓘ	negative	77.61	no
125439	motility	BacteriaNetⓘ	no	60.65	no
125439	spore_formation	BacteriaNetⓘ	no	98.68	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Acinetobacter seifertii strain FDAARGOS 1400 strain Not applicable
PATRIC: 1530123.102

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.50	no
125438	anaerobic	anaerobicⓘ	no	97.58	no
125438	spore-forming	spore-formingⓘ	no	91.41	no
125438	aerobic	aerobicⓘ	yes	90.56	no
125438	thermophilic	thermophileⓘ	no	99.48	no
125438	flagellated	motile2+ⓘ	no	79.07	no

Literature

References

#12586	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 46612
#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 )
#20216	Curators of the JMRC: Jena Microbial Resource Collection (JMRC):
#68369	Automatically annotated from API 20NE .
#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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