Corynebacterium renale (DSM 20298, ATCC 10848, 5)

Name: Corynebacterium renale (DSM 20298, ATCC 10848, 5)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 3115

Type strain

Strain Designation 5

Culture col. no. DSM 20298 ATCC 10848 5 NCTC 11140 NCCB 62001 3 more

NCBI tax ID(s) 1724

Special Collections DSMZ JCM

Links

Corynebacterium renale 5 is a mesophilic animal pathogen that was isolated from cattle with pyelonephritis.

mesophilic animal pathogen genome sequence

Name and taxonomic classification

SI-ID 35292

ATCC 10848,NCTC 11140,ATCC 10849,NCTC 11141,CCUG 6510,CECT 4050,DSM 20298,JCM 1322,IAM 12430,JCM 3713,NCCB 62001,LMD 62.1,DSM 7182

@ref 20215

Last LPSN update 2025-12-16 09:47:28

Domain Bacillati

Phylum Actinomycetota

Class Actinomycetes

Order Mycobacteriales

Family Corynebacteriaceae

Genus Corynebacterium

Species Corynebacterium renale

Full scientific name Corynebacterium renale (Migula 1900) Ernst 1906 (Approved Lists 1980)

Synonyms (1)

"Bacterium renale"

BacDive ID	Other strains from **Corynebacterium renale** (13)	Type strain
3116	C. renale Charita a, Charita-a, DSM 20688, ATCC 19412, ... (type strain)
3114	C. renale Morse 9, CCUG 6510, CECT 4050, DSM 7182, ...
3117	C. renale 12793, DSM 45375, ATCC BAA-1785
136017	C. renale 1602, CIP 52.98
137447	C. renale 9, CIP 69.37, CCM 5740
138399	C. renale 4, CIP 52.99
138619	C. renale 122/10, CIP 52.96
138942	C. renale 42, CIP 69.39
141533	C. renale CCUG 2707, NCTC 7449
141762	C. renale CCUG 6511, ATCC 13401, NCTC 11142
145001	C. renale CCUG 27368, CG 802/89
145002	C. renale CCUG 27369, CG 185/90
148344	C. renale CCUG 35259

Morphology

Cell morphology

@ref	Motility	Confidence
125439		93.6
125438		94.5

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
8701	CORYNEBACTERIUM AGAR (DSMZ Medium 53)		Medium recipe at MediaDive	Name: CORYNEBACTERIUM AGAR (DSMZ Medium 53) Composition: Agar 15.0 g/l Casein peptone 10.0 g/l NaCl 5.0 g/l Glucose 5.0 g/l Yeast extract 5.0 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
8701	positive	growth	30	mesophilic
67770	positive	growth	30	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	microaerophile	95.1

Spore formation

@ref	Spore formation	Confidence
125439		91.5

Murein

@ref	Murein short key	Type
8701	A31	A1gamma m-Dpm-direct

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	ppGpp biosynthesis	100	4 of 4
66794	formaldehyde oxidation	100	3 of 3
66794	acetoin degradation	100	3 of 3
66794	acetate fermentation	100	4 of 4
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	suberin monomers biosynthesis	100	2 of 2
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	hydrogen production	100	5 of 5
66794	folate polyglutamylation	100	1 of 1
66794	aerobactin biosynthesis	100	1 of 1
66794	methylglyoxal degradation	100	5 of 5
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	glycolate and glyoxylate degradation	83.33	5 of 6
66794	pentose phosphate pathway	81.82	9 of 11
66794	lipoate biosynthesis	80	4 of 5
66794	flavin biosynthesis	80	12 of 15
66794	vitamin K metabolism	80	4 of 5
66794	glycine betaine biosynthesis	80	4 of 5
66794	tetrahydrofolate metabolism	78.57	11 of 14
66794	heme metabolism	78.57	11 of 14
66794	photosynthesis	78.57	11 of 14
66794	palmitate biosynthesis	77.27	17 of 22
66794	vitamin B1 metabolism	76.92	10 of 13
66794	sulfopterin metabolism	75	3 of 4
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	75	6 of 8
66794	glycogen biosynthesis	75	3 of 4
66794	coenzyme A metabolism	75	3 of 4
66794	peptidoglycan biosynthesis	73.33	11 of 15
66794	NAD metabolism	72.22	13 of 18
66794	cardiolipin biosynthesis	71.43	5 of 7
66794	purine metabolism	71.28	67 of 94
66794	glycolysis	70.59	12 of 17
66794	threonine metabolism	70	7 of 10
66794	molybdenum cofactor biosynthesis	66.67	6 of 9
66794	selenocysteine biosynthesis	66.67	4 of 6
66794	isoprenoid biosynthesis	65.38	17 of 26
66794	metabolism of disaccharids	63.64	7 of 11
66794	ketogluconate metabolism	62.5	5 of 8
66794	C4 and CAM-carbon fixation	62.5	5 of 8
66794	gluconeogenesis	62.5	5 of 8
66794	isoleucine metabolism	62.5	5 of 8
66794	dTDPLrhamnose biosynthesis	62.5	5 of 8
66794	phenylalanine metabolism	61.54	8 of 13
66794	urea cycle	61.54	8 of 13
66794	methionine metabolism	57.69	15 of 26
66794	glutamate and glutamine metabolism	57.14	16 of 28
66794	citric acid cycle	57.14	8 of 14
66794	ubiquinone biosynthesis	57.14	4 of 7
66794	CO2 fixation in Crenarchaeota	55.56	5 of 9
66794	serine metabolism	55.56	5 of 9
66794	cysteine metabolism	55.56	10 of 18
66794	d-mannose degradation	55.56	5 of 9
66794	lipid metabolism	54.84	17 of 31
66794	alanine metabolism	51.72	15 of 29
66794	ethanol fermentation	50	1 of 2
66794	mannosylglycerate biosynthesis	50	1 of 2
66794	lactate fermentation	50	2 of 4
66794	non-pathway related	50	19 of 38
66794	cis-vaccenate biosynthesis	50	1 of 2
66794	phenylmercury acetate degradation	50	1 of 2
66794	butanoate fermentation	50	2 of 4
66794	glutathione metabolism	50	7 of 14
66794	pyrimidine metabolism	48.89	22 of 45
66794	histidine metabolism	48.28	14 of 29
66794	lysine metabolism	47.62	20 of 42
66794	tryptophan metabolism	47.37	18 of 38
66794	leucine metabolism	46.15	6 of 13
66794	arginine metabolism	45.83	11 of 24
66794	reductive acetyl coenzyme A pathway	42.86	3 of 7
66794	propanol degradation	42.86	3 of 7
66794	oxidative phosphorylation	42.86	39 of 91
66794	degradation of aromatic, nitrogen containing compounds	41.67	5 of 12
66794	glycine metabolism	40	4 of 10
66794	glycogen metabolism	40	2 of 5
66794	propionate fermentation	40	4 of 10
66794	coenzyme M biosynthesis	40	4 of 10
66794	metabolism of amino sugars and derivatives	40	2 of 5
66794	degradation of hexoses	38.89	7 of 18
66794	sulfate reduction	38.46	5 of 13
66794	vitamin B6 metabolism	36.36	4 of 11
66794	proline metabolism	36.36	4 of 11
66794	degradation of sugar acids	36	9 of 25
66794	pantothenate biosynthesis	33.33	2 of 6
66794	enterobactin biosynthesis	33.33	1 of 3
66794	octane oxidation	33.33	1 of 3
66794	IAA biosynthesis	33.33	1 of 3
66794	lipid A biosynthesis	33.33	3 of 9
66794	L-lactaldehyde degradation	33.33	1 of 3
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	cyanate degradation	33.33	1 of 3
66794	degradation of sugar alcohols	31.25	5 of 16
66794	tyrosine metabolism	28.57	4 of 14
66794	phenol degradation	25	5 of 20
66794	cyclohexanol degradation	25	1 of 4
66794	toluene degradation	25	1 of 4
66794	methanogenesis from CO2	25	3 of 12
66794	biotin biosynthesis	25	1 of 4
66794	degradation of pentoses	25	7 of 28
66794	CMP-KDO biosynthesis	25	1 of 4
66794	ascorbate metabolism	22.73	5 of 22
66794	allantoin degradation	22.22	2 of 9
66794	nitrate assimilation	22.22	2 of 9

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Mammals	#Bovinae (Cow, Cattle)
#Host Body-Site	#Urogenital tract	#Kidney

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
8701	cattle with pyelonephritis
67770	Cattle with pyelonephritis	New York	USA	USA	North America

Interaction and safety

Risk assessment

@ref	Pathogenicity animal	Biosafety level	Biosafety level comment
8701		2	Risk group (German classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	45076_A02 assembly for Corynebacterium renale NCTC11140	complete	GCA_900475655	1724.10	2808606771	1724	99.28

GC content

@ref	GC-content (mol%)	Method
8701	59.3
67770	59.3	thermal denaturation, midpoint method (Tm)
67770	57.4

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Corynebacterium renale strain NCTC11140
PATRIC: 1724.10

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	91.50	no
125439	motility	BacteriaNetⓘ	no	93.60	no
125439	gram_stain	BacteriaNetⓘ	positive	88.80	no
125439	oxygen_tolerance	BacteriaNetⓘ	microaerophile	95.10	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Corynebacterium renale NCTC11140
NCBI: GCA_900475655.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	88.73	no
125438	anaerobic	anaerobicⓘ	no	89.35	no
125438	aerobic	aerobicⓘ	no	64.97	no
125438	spore-forming	spore-formingⓘ	no	76.11	no
125438	thermophilic	thermophileⓘ	no	93.07	yes
125438	flagellated	motile2+ⓘ	no	94.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Metabolism	Phospholipase D activity of Corynebacterium pseudotuberculosis (Corynebacterium ovis) and Corynebacterium ulcerans, a distinctive marker within the genus Corynebacterium.	Barksdale L, Linder R, Sulea IT, Pollice M.	J Clin Microbiol	10.1128/jcm.13.2.335-343.1981	1981
Phylogeny	A double outbreak of exfoliative toxin-producing strains of Staphylococcus aureus in a maternity unit.	Dave J, Reith S, Nash JQ, Marples RR, Dulake C.	Epidemiol Infect	10.1017/s0950268800057460	1994
	Testing Antimicrobial Properties of Human Lactoferrin-Derived Fragments.	Ostrowka M, Duda-Madej A, Pietluch F, Mackiewicz P, Gagat P.	Int J Mol Sci	10.3390/ijms241310529	2023

References

#8701	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 20298
#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 )
#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;
#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 renale (DSM 20298, ATCC 10848, 5)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Murein

Pathway annotation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_900475655

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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