Corynebacterium uterequi (DSM 45634, CCUG 61235, VM 2298)

Name: Corynebacterium uterequi (DSM 45634, CCUG 61235, VM 2298)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 23875

Type strain

Strain Designation VM 2298

Culture col. no. DSM 45634 CCUG 61235 VM 2298 JCM 32214

NCBI tax ID(s) 1072256

Special Collections DSMZ CCUG JCM

Links

Corynebacterium uterequi VM 2298 is a microaerophile, mesophilic prokaryote that was isolated from horse, uterus, maiden, liquid accumulation.

microaerophile mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 404654

DSM 45634,CCUG 61235

@ref 20215

Last LPSN update 2025-12-16 09:52:45

Domain Bacillati

Phylum Actinomycetota

Class Actinomycetes

Order Mycobacteriales

Family Corynebacteriaceae

Genus Corynebacterium

Species Corynebacterium uterequi

Full scientific name Corynebacterium uterequi Hoyles et al. 2013

BacDive ID	Other strains from **Corynebacterium uterequi** (2)	Type strain
151712	C. uterequi CCUG 44698
156331	C. uterequi CCUG 61186

Morphology

Cell morphology

@ref	Confidence	Gram stain
125439	97.2
125439	99.4	positive
125438	93.375

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
20515	TRYPTICASE SOY BROTH AGAR+BLOOD (DSMZ Medium 535a)		Medium recipe at MediaDive	Name: TRYPTICASE SOY BROTH AGAR+BLOOD (DSMZ Medium 535a) Composition: None 50.0 g/l Trypticase soy broth 30.0 g/l Agar 15.0 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
20515	positive	growth	37	mesophilic
62585	positive	growth	37	mesophilic
67770	positive	growth	37	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
62585	microaerophile
125439	microaerophile	92

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	lactate fermentation	100	4 of 4
66794	starch degradation	100	10 of 10
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	coenzyme A metabolism	100	4 of 4
66794	acetate fermentation	100	4 of 4
66794	vitamin K metabolism	100	5 of 5
66794	suberin monomers biosynthesis	100	2 of 2
66794	folate polyglutamylation	100	1 of 1
66794	ppGpp biosynthesis	100	4 of 4
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	valine metabolism	88.89	8 of 9
66794	aspartate and asparagine metabolism	88.89	8 of 9
66794	chorismate metabolism	88.89	8 of 9
66794	peptidoglycan biosynthesis	86.67	13 of 15
66794	palmitate biosynthesis	86.36	19 of 22
66794	photosynthesis	85.71	12 of 14
66794	pentose phosphate pathway	81.82	9 of 11
66794	glycogen metabolism	80	4 of 5
66794	molybdenum cofactor biosynthesis	77.78	7 of 9
66794	phenylalanine metabolism	76.92	10 of 13
66794	glycogen biosynthesis	75	3 of 4
66794	C4 and CAM-carbon fixation	75	6 of 8
66794	sulfopterin metabolism	75	3 of 4
66794	isoleucine metabolism	75	6 of 8
66794	gluconeogenesis	75	6 of 8
66794	pyrimidine metabolism	73.33	33 of 45
66794	flavin biosynthesis	73.33	11 of 15
66794	purine metabolism	72.34	68 of 94
66794	citric acid cycle	71.43	10 of 14
66794	heme metabolism	71.43	10 of 14
66794	cardiolipin biosynthesis	71.43	5 of 7
66794	reductive acetyl coenzyme A pathway	71.43	5 of 7
66794	propanol degradation	71.43	5 of 7
66794	propionate fermentation	70	7 of 10
66794	glutamate and glutamine metabolism	67.86	19 of 28
66794	acetoin degradation	66.67	2 of 3
66794	glycolate and glyoxylate degradation	66.67	4 of 6
66794	NAD metabolism	66.67	12 of 18
66794	L-lactaldehyde degradation	66.67	2 of 3
66794	cyanate degradation	66.67	2 of 3
66794	octane oxidation	66.67	2 of 3
66794	formaldehyde oxidation	66.67	2 of 3
66794	alanine metabolism	65.52	19 of 29
66794	isoprenoid biosynthesis	65.38	17 of 26
66794	glycolysis	64.71	11 of 17
66794	tetrahydrofolate metabolism	64.29	9 of 14
66794	metabolism of disaccharids	63.64	7 of 11
66794	ketogluconate metabolism	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	oxidative phosphorylation	60.44	55 of 91
66794	threonine metabolism	60	6 of 10
66794	metabolism of amino sugars and derivatives	60	3 of 5
66794	non-pathway related	57.89	22 of 38
66794	ubiquinone biosynthesis	57.14	4 of 7
66794	serine metabolism	55.56	5 of 9
66794	d-mannose degradation	55.56	5 of 9
66794	degradation of hexoses	55.56	10 of 18
66794	cysteine metabolism	55.56	10 of 18
66794	methionine metabolism	53.85	14 of 26
66794	histidine metabolism	51.72	15 of 29
66794	butanoate fermentation	50	2 of 4
66794	cis-vaccenate biosynthesis	50	1 of 2
66794	ethanol fermentation	50	1 of 2
66794	kanosamine biosynthesis II	50	1 of 2
66794	tryptophan metabolism	50	19 of 38
66794	dTDPLrhamnose biosynthesis	50	4 of 8
66794	glutathione metabolism	50	7 of 14
66794	selenocysteine biosynthesis	50	3 of 6
66794	quinate degradation	50	1 of 2
66794	mannosylglycerate biosynthesis	50	1 of 2
66794	lipid metabolism	48.39	15 of 31
66794	lysine metabolism	47.62	20 of 42
66794	proline metabolism	45.45	5 of 11
66794	d-xylose degradation	45.45	5 of 11
66794	CO2 fixation in Crenarchaeota	44.44	4 of 9
66794	nitrate assimilation	44.44	4 of 9
66794	degradation of pentoses	42.86	12 of 28
66794	degradation of aromatic, nitrogen containing compounds	41.67	5 of 12
66794	4-hydroxyphenylacetate degradation	40	4 of 10
66794	glycine betaine biosynthesis	40	2 of 5
66794	glycine metabolism	40	4 of 10
66794	gallate degradation	40	2 of 5
66794	lipoate biosynthesis	40	2 of 5
66794	urea cycle	38.46	5 of 13
66794	sulfate reduction	38.46	5 of 13
66794	vitamin B1 metabolism	38.46	5 of 13
66794	arginine metabolism	37.5	9 of 24
66794	degradation of sugar alcohols	37.5	6 of 16
66794	vitamin B6 metabolism	36.36	4 of 11
66794	tyrosine metabolism	35.71	5 of 14
66794	sphingosine metabolism	33.33	2 of 6
66794	enterobactin biosynthesis	33.33	1 of 3
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	lipid A biosynthesis	33.33	3 of 9
66794	IAA biosynthesis	33.33	1 of 3
66794	coenzyme M biosynthesis	30	3 of 10
66794	mevalonate metabolism	28.57	2 of 7
66794	degradation of sugar acids	28	7 of 25
66794	carnitine metabolism	25	2 of 8
66794	toluene degradation	25	1 of 4
66794	CMP-KDO biosynthesis	25	1 of 4
66794	androgen and estrogen metabolism	25	4 of 16
66794	cyclohexanol degradation	25	1 of 4

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Mammals	#Equidae (Horse)
#Host Body-Site	#Urogenital tract	-
#Host Body Product	#Fluids	-

Isolation

@ref	Sample type	Sampling date	Geographic location	Country	Country ISO 3 Code	Continent
20515	horse, uterus, maiden, liquid accumulation		Skara	Sweden	SWE	Europe
62585	Horse,uterus,maiden mare,liquid accumulation	2011-05-01	Skara	Sweden	SWE	Europe
67770	Equine uterus		Skara	Sweden	SWE	Europe

Taxonmaps

69479

Global distribution of 16S sequence HE577802 (>99% sequence identity) for Corynebacterium uterequi subclade from Microbeatlas

Aquatic Samples	232
Soil Samples	272
Animal Samples	3693
Plant Samples	28
Total Samples	4225

Interaction and safety

Risk assessment

@ref	Pathogenicity animal	Biosafety level	Biosafety level comment
20515	yes, in single cases	1	Risk group (German classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM102106v1 assembly for Corynebacterium uterequi DSM 45634	complete	GCA_001021065	1072256.5	2615840660	1072256	99.2

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20515	Corynebacterium uterequi partial 16S rRNA gene, type strain CCUG 61235T	HE577802	1501		1072256

GC content

@ref	GC-content (mol%)	Method
67770	65.5	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Corynebacterium uterequi strain DSM 45634
PATRIC: 1072256.5

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	microaerophile	92.00	no
125439	gram_stain	BacteriaNetⓘ	positive	99.40	no
125439	motility	BacteriaNetⓘ	no	97.20	no
125439	spore_formation	BacteriaNetⓘ	yes	52.10	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Corynebacterium uterequi DSM 45634
NCBI: GCA_001021065.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	86.53	no
125438	anaerobic	anaerobicⓘ	no	92.26	yes
125438	aerobic	aerobicⓘ	no	68.07	yes
125438	spore-forming	spore-formingⓘ	no	82.13	no
125438	thermophilic	thermophileⓘ	no	94.25	no
125438	flagellated	motile2+ⓘ	no	93.38	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	Virulence Factor Genes Detected in the Complete Genome Sequence of Corynebacterium uterequi DSM 45634, Isolated from the Uterus of a Maiden Mare.	Ruckert C, Kriete M, Jaenicke S, Winkler A, Tauch A	Genome Announc	10.1128/genomeA.00783-15	2015
Phylogeny	Corynebacterium uterequi sp. nov., a non-lipophilic bacterium isolated from urogenital samples from horses.	Hoyles L, Ortman K, Cardew S, Foster G, Rogerson F, Falsen E	Vet Microbiol	10.1016/j.vetmic.2013.03.025	2013

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 )
#20515	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 45634
#62585	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 61235
#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 )
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#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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Corynebacterium uterequi (DSM 45634, CCUG 61235, VM 2298)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Pathway annotation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_001021065

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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