Acinetobacter genomospecies 3 (DSM 9340, Tr III-20)

Name: Acinetobacter genomospecies 3 (DSM 9340, Tr III-20)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 8117

Type strain

Strain Designation Tr III-20

Culture col. no. DSM 9340 Tr III-20

Special Collections DSMZ

Acinetobacter genomospecies 3 Tr III-20 is a mesophilic Proteobacterium that was isolated from ear discharge.

mesophilic genome sequence

Name and taxonomic classification

Culture Collection Numbers

DSM 9340 Tr III-20

@ref 3555

Domain Bacteria

Phylum Proteobacteria

Class Gammaproteobacteria

Order Pseudomonadales

Family Moraxellaceae

Genus Acinetobacter

Species Acinetobacter genomospecies 3

Full scientific name Acinetobacter genomospecies 3

Strain designation Tr III-20

Type strain no

BacDive ID	Other strains from Acinetobacter genomospecies 3 (18)	Type strain
8098	A. genomospecies 3 Tr II-3, DSM 9306
8099	A. genomospecies 3 Zoo 101, DSM 9307
8100	A. genomospecies 3 Tr III-74, DSM 9308
8101	A. genomospecies 3 Tr III-17, DSM 9309
8102	A. genomospecies 3 Tr III-92, DSM 9310
8103	A. genomospecies 3 Zoo 124, DSM 9311
8105	A. genomospecies 3 Tr III-200, DSM 9313
8106	A. genomospecies 3 Tr III-234, DSM 9314
8107	A. genomospecies 3 Tr III-242, DSM 9315
8108	A. genomospecies 3 Tr III-257, DSM 9316
8109	A. genomospecies 3 Tr III-402, DSM 9317
8113	A. genomospecies 3 Tr III-876, DSM 9321
8114	A. genomospecies 3 Tr I-16, DSM 9337
8115	A. genomospecies 3 Tr III-23, DSM 9338
8116	A. genomospecies 3 Zoo 89, DSM 9339
8119	A. genomospecies 3 Tr III-440, DSM 9342
8120	A. genomospecies 3 Tr III-867, DSM 9343
8121	A. genomospecies 3 Zoo 35, DSM 9449

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	99
125439	negative	93.9

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
3555	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
3555	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

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
3555	positive	growth	28	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125438	aerobe	91.149
125439	obligate aerobe	99.4

Spore formation

@ref	Spore formation	Confidence
125438		94.372

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	17634 ChEBI	D-glucose	-	assimilation	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
68369	cytochrome oxidase	-	1.9.3.1	from API 20NE
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
3555	-	-	+/-	-	-	-	-	-	-	+	-	-	-	-	-	+	+	+	+/-	+/-	-
3555	-	-	+	-	-	-	-	-	-	+	-	-	-	-	-	+	+	+	+	+	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host Body-Site	#Organ	#Ear
#Host Body Product	#Fluids	-

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
3555	ear discharge	Germany	DEU	Europe

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	NCBI tax ID	Score
66792	ASM1693947v1 assembly for Acinetobacter calcoaceticus FDAARGOS_1218	complete	GCA_016939475	471.78	471	97.77

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Acinetobacter calcoaceticus strain FDAARGOS_1218
PATRIC: 471.78

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	87.70	no
125439	motility	BacteriaNetⓘ	yes	60.20	no
125439	gram_stain	BacteriaNetⓘ	negative	93.90	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	99.40	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Acinetobacter calcoaceticus strain FDAARGOS_1218 strain Not applicable
PATRIC: 471.78

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	99.00	no
125438	anaerobic	anaerobicⓘ	no	98.14	no
125438	spore-forming	spore-formingⓘ	no	94.37	no
125438	aerobic	aerobicⓘ	yes	91.15	no
125438	thermophilic	thermophileⓘ	no	100.00	yes
125438	flagellated	motile2+ⓘ	no	78.14	no

Literature

References

#3555	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 9340
#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 .
#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 .

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