Acinetobacter equi (CCUG 65204, DSM 27228, 114)

Name: Acinetobacter equi (CCUG 65204, DSM 27228, 114)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 140912

Type strain

Strain Designation 114

Culture col. no. CCUG 65204 DSM 27228 114

NCBI tax ID(s) 1324350

Special Collections DSMZ CCUG Literature strains

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Acinetobacter equi 114 is an aerobe, mesophilic, Gram-negative prokaryote that was isolated from Faeces from a horse.

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

Name and taxonomic classification

SI-ID 410369

CCUG 65204

@ref 20215

Last LPSN update 2025-12-16 10:03:43

Domain Pseudomonadati

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Pseudomonadales

Family Moraxellaceae

Genus Acinetobacter

Species Acinetobacter equi

Full scientific name Acinetobacter equi Poppel et al. 2016

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
43765	negative	1-1.5 µm	0.8 µm	rod-shaped
125439	negative				97.6
125438	negative				100

Colony morphology

@ref	Colony size	Colony color	Incubation period	Medium used
43765	1-2 mm	Red	1 day	CHROMagar Acinetobacter
63207			1 day

Culture and growth conditions

Culture medium

@ref	Name	Growth
43765	Bile-chrysoidine-glycerol agar
43765	CHROMagar Acinetobacter
43765	MacConkey agar

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
43765	positive	growth	37	mesophilic
43765	negative	growth	41
63207	positive	growth	30-37	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
43765	aerobe
63207	aerobe
125439	obligate aerobe	98.3

Spore formation

@ref	Spore formation	Confidence
125439		98.2
125438		95.898

Observation

43765

ObservationNon-haemolytic on sheep blood agar

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
43765	62064 ChEBI	2,3-butanediol	-	assimilation
43765	17879 ChEBI	4-hydroxybenzoate	+	assimilation
43765	17128 ChEBI	adipate	+	assimilation
43765	78208 ChEBI	azelaate	-	assimilation
43765	16150 ChEBI	benzoate	-	assimilation
43765	16958 ChEBI	beta-alanine	-	assimilation
43765	16947 ChEBI	citrate	+	assimilation
43765	17634 ChEBI	D-glucose	+/-	builds acid from
43765	15588 ChEBI	D-malate	-	assimilation
43765	27689 ChEBI	decanoate	+/-	assimilation
43765	16236 ChEBI	ethanol	-	assimilation
43765	16865 ChEBI	gamma-aminobutyric acid	-	assimilation
43765	58044 ChEBI	gentisate	+	assimilation
43765	17859 ChEBI	glutaric acid	-	assimilation
43765	30849 ChEBI	L-arabinose	+	assimilation
43765	16467 ChEBI	L-arginine	-	assimilation
43765	29991 ChEBI	L-aspartate	-	assimilation
43765	15971 ChEBI	L-histidine	+	assimilation
43765	15603 ChEBI	L-leucine	-	assimilation
43765	15729 ChEBI	L-ornithine	-	assimilation
43765	17295 ChEBI	L-phenylalanine	-	assimilation
43765	30924 ChEBI	L-tartrate	-	assimilation
43765	24996 ChEBI	lactate	+	assimilation
43765	25115 ChEBI	malate	+	assimilation
43765	15792 ChEBI	malonate	-	assimilation
43765	17632 ChEBI	nitrate	+	reduction
43765	18401 ChEBI	phenylacetate	+	assimilation
43765	17148 ChEBI	putrescine	-	assimilation
43765	64243 ChEBI	sodium L-glutamate	+	assimilation
43765	15708 ChEBI	trans-aconitate	-	assimilation
43765	62517 ChEBI	tricarballylate	-	assimilation
43765	18123 ChEBI	trigonelline	-	assimilation
43765	16765 ChEBI	tryptamine	-	assimilation

Enzymes

@ref	Value	Activity	Ec
43765	arginine dihydrolase	+/-	3.5.3.6
43765	catalase	+	1.11.1.6
43765	cytochrome oxidase	-	1.9.3.1
43765	gelatinase	-

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	adipate degradation	100	2 of 2
66794	methylglyoxal degradation	100	5 of 5
66794	formaldehyde oxidation	100	3 of 3
66794	palmitate biosynthesis	100	22 of 22
66794	biotin biosynthesis	100	4 of 4
66794	glycine betaine biosynthesis	100	5 of 5
66794	cis-vaccenate biosynthesis	100	2 of 2
66794	ppGpp biosynthesis	100	4 of 4
66794	acetate fermentation	100	4 of 4
66794	butanoate fermentation	100	4 of 4
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	coenzyme A metabolism	100	4 of 4
66794	valine metabolism	100	9 of 9
66794	suberin monomers biosynthesis	100	2 of 2
66794	tetrahydrofolate metabolism	100	14 of 14
66794	folate polyglutamylation	100	1 of 1
66794	3-phenylpropionate degradation	93.33	14 of 15
66794	threonine metabolism	90	9 of 10
66794	glutamate and glutamine metabolism	89.29	25 of 28
66794	lipid A biosynthesis	88.89	8 of 9
66794	chorismate metabolism	88.89	8 of 9
66794	isoleucine metabolism	87.5	7 of 8
66794	photosynthesis	85.71	12 of 14
66794	propanol degradation	85.71	6 of 7
66794	citric acid cycle	85.71	12 of 14
66794	ubiquinone biosynthesis	85.71	6 of 7
66794	vitamin B1 metabolism	84.62	11 of 13
66794	vitamin B6 metabolism	81.82	9 of 11
66794	3-chlorocatechol degradation	80	4 of 5
66794	gallate degradation	80	4 of 5
66794	ethylmalonyl-CoA pathway	80	4 of 5
66794	peptidoglycan biosynthesis	80	12 of 15
66794	heme metabolism	78.57	11 of 14
66794	serine metabolism	77.78	7 of 9
66794	NAD metabolism	77.78	14 of 18
66794	CO2 fixation in Crenarchaeota	77.78	7 of 9
66794	molybdenum cofactor biosynthesis	77.78	7 of 9
66794	4-hydroxymandelate degradation	77.78	7 of 9
66794	alanine metabolism	75.86	22 of 29
66794	CMP-KDO biosynthesis	75	3 of 4
66794	lactate fermentation	75	3 of 4
66794	sulfopterin metabolism	75	3 of 4
66794	gluconeogenesis	75	6 of 8
66794	flavin biosynthesis	73.33	11 of 15
66794	purine metabolism	72.34	68 of 94
66794	cysteine metabolism	72.22	13 of 18
66794	cardiolipin biosynthesis	71.43	5 of 7
66794	propionate fermentation	70	7 of 10
66794	phenylalanine metabolism	69.23	9 of 13
66794	lipid metabolism	67.74	21 of 31
66794	L-lactaldehyde degradation	66.67	2 of 3
66794	d-mannose degradation	66.67	6 of 9
66794	methane metabolism	66.67	2 of 3
66794	aspartate and asparagine metabolism	66.67	6 of 9
66794	octane oxidation	66.67	2 of 3
66794	enterobactin biosynthesis	66.67	2 of 3
66794	arginine metabolism	66.67	16 of 24
66794	acetoin degradation	66.67	2 of 3
66794	cyanate degradation	66.67	2 of 3
66794	histidine metabolism	65.52	19 of 29
66794	methionine metabolism	65.38	17 of 26
66794	phenol degradation	65	13 of 20
66794	pyrimidine metabolism	64.44	29 of 45
66794	proline metabolism	63.64	7 of 11
66794	tryptophan metabolism	63.16	24 of 38
66794	C4 and CAM-carbon fixation	62.5	5 of 8
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	62.5	5 of 8
66794	leucine metabolism	61.54	8 of 13
66794	urea cycle	61.54	8 of 13
66794	sulfate reduction	61.54	8 of 13
66794	non-pathway related	60.53	23 of 38
66794	glycolysis	58.82	10 of 17
66794	degradation of aromatic, nitrogen containing compounds	58.33	7 of 12
66794	glutathione metabolism	57.14	8 of 14
66794	allantoin degradation	55.56	5 of 9
66794	pentose phosphate pathway	54.55	6 of 11
66794	phenylpropanoid biosynthesis	53.85	7 of 13
66794	isoprenoid biosynthesis	53.85	14 of 26
66794	oxidative phosphorylation	52.75	48 of 91
66794	lysine metabolism	52.38	22 of 42
66794	quinate degradation	50	1 of 2
66794	glycolate and glyoxylate degradation	50	3 of 6
66794	pantothenate biosynthesis	50	3 of 6
66794	degradation of sugar alcohols	50	8 of 16
66794	Entner Doudoroff pathway	50	5 of 10
66794	tyrosine metabolism	50	7 of 14
66794	resorcinol degradation	50	1 of 2
66794	ethanol fermentation	50	1 of 2
66794	reductive acetyl coenzyme A pathway	42.86	3 of 7
66794	lipoate biosynthesis	40	2 of 5
66794	arachidonate biosynthesis	40	2 of 5
66794	glycine metabolism	40	4 of 10
66794	factor 420 biosynthesis	40	2 of 5
66794	ketogluconate metabolism	37.5	3 of 8
66794	degradation of sugar acids	36	9 of 25
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	sulfoquinovose degradation	33.33	1 of 3
66794	degradation of hexoses	33.33	6 of 18
66794	selenocysteine biosynthesis	33.33	2 of 6
66794	(5R)-carbapenem carboxylate biosynthesis	33.33	1 of 3
66794	IAA biosynthesis	33.33	1 of 3
66794	degradation of pentoses	32.14	9 of 28
66794	androgen and estrogen metabolism	31.25	5 of 16
66794	4-hydroxyphenylacetate degradation	30	3 of 10
66794	coenzyme M biosynthesis	30	3 of 10
66794	benzoyl-CoA degradation	28.57	2 of 7
66794	ascorbate metabolism	27.27	6 of 22
66794	toluene degradation	25	1 of 4
66794	glycogen biosynthesis	25	1 of 4
66794	cyclohexanol degradation	25	1 of 4
66794	nitrate assimilation	22.22	2 of 9
66794	chlorophyll metabolism	22.22	4 of 18
66794	daunorubicin biosynthesis	22.22	2 of 9

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Mammals	#Equidae (Horse)
#Host Body Product	#Gastrointestinal tract	#Feces (Stool)

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent	Latitude	Longitude	Isolation date	Sampling date
43765	Faeces from a horse	Minsleben, Saxony-Anhalt	Germany	DEU	Europe	51.866	10.828 51.866/10.828	2012-10
63207	Faeces from horse	Harz district	Germany	DEU	Europe				2012-11-03

Taxonmaps

69479

Global distribution of 16S sequence KC494698 (>99% sequence identity) for Acinetobacter equi from Microbeatlas

Aquatic Samples	18
Soil Samples	1
Animal Samples	43
Plant Samples	3
Total Samples	65

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM130719v1 assembly for Acinetobacter equi 114	complete	GCA_001307195	1324350.3	2648501117	1324350	97.36

16S sequences

@ref	Description	Accession	Database
43765	Acinetobacter equi strain 114 16S ribosomal RNA gene, partial sequence	KC494698

GC content

43765

GC-content (mol%)34.9

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Acinetobacter sp. 114
PATRIC: 1324350.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	98.20	no
125439	motility	BacteriaNetⓘ	yes	54.80	no
125439	gram_stain	BacteriaNetⓘ	negative	97.60	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.30	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Acinetobacter equi 114
NCBI: GCA_001307195.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	100.00	yes
125438	anaerobic	anaerobicⓘ	no	97.96	yes
125438	aerobic	aerobicⓘ	yes	89.12	yes
125438	spore-forming	spore-formingⓘ	no	95.90	no
125438	thermophilic	thermophileⓘ	no	96.95	yes
125438	flagellated	motile2+ⓘ	no	87.66	yes

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Distinct codon usage signatures reflecting evolutionary and pathogenic adaptation in the Acinetobacter baumannii complex.	Dahal U, Sharma A, Paul K, Bansal A, Gupta S.	Eur J Clin Microbiol Infect Dis	10.1007/s10096-025-05233-2	2025
	Challenges in the veterinary microbiology diagnostic laboratory: a novel Acinetobacter species as presumptive cause for feline unilateral conjunctivitis.	Vale AP, Leggett B, Smyth D, Leonard F.	Access Microbiol	10.1099/acmi.0.000118	2020
	Gut Microbiome Characteristics in feral and domesticated horses from different geographic locations.	Ang L, Vinderola G, Endo A, Kantanen J, Jingfeng C, Binetti A, Burns P, Qingmiao S, Suying D, Zujiang Y, Rios-Covian D, Mantziari A, Beasley S, Gomez-Gallego C, Gueimonde M, Salminen S.	Commun Biol	10.1038/s42003-022-03116-2	2022
	Evolution of the Natural Transformation Protein, ComEC, in Bacteria.	Pimentel ZT, Zhang Y.	Front Microbiol	10.3389/fmicb.2018.02980	2018
	Application of Nanopore Sequencing (MinION) for the Analysis of Bacteriome and Resistome of Bean Sprouts.	Solcova M, Demnerova K, Purkrtova S.	Microorganisms	10.3390/microorganisms9050937	2021
Genetics	KatharoSeq Enables High-Throughput Microbiome Analysis from Low-Biomass Samples.	Minich JJ, Zhu Q, Janssen S, Hendrickson R, Amir A, Vetter R, Hyde J, Doty MM, Stillwell K, Benardini J, Kim JH, Allen EE, Venkateswaran K, Knight R.	mSystems	10.1128/msystems.00218-17	2018
Phylogeny	Acinetobacter lanii sp. nov., Acinetobacter shaoyimingii sp. nov. and Acinetobacter wanghuae sp. nov., isolated from faeces of Equus kiang.	Zhu W, Dong K, Yang J, Lu S, Lai XH, Pu J, Jin D, Huang Y, Zhang S, Zhou J, Huang Y, Xu J.	Int J Syst Evol Microbiol	10.1099/ijsem.0.004567	2021
Phylogeny	Acinetobacter equi sp. nov., isolated from horse faeces.	Poppel MT, Skiebe E, Laue M, Bergmann H, Ebersberger I, Garn T, Fruth A, Baumgardt S, Busse HJ, Wilharm G	Int J Syst Evol Microbiol	10.1099/ijsem.0.000806	2015

References

#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 )
#43765	Marie T. Poppel, Evelyn Skiebe, Michael Laue, Holger Bergmann, Ingo Ebersberger, Thomas Garn, Angelika Fruth, Sandra Baumgardt, Hans-Jürgen Busse, Gottfried Wilharm: Acinetobacter equi sp. nov., isolated from horse faeces. IJSEM 66: 881 - 888 2016 ( DOI 10.1099/ijsem.0.000806 , PubMed 26620413 )
#63207	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 65204
#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 .
#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 equi (CCUG 65204, DSM 27228, 114)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Observation

Metabolite utilization

Enzymes

Pathway annotation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_001307195

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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