Corynebacterium frankenforstense (DSM 45800, CCUG 63371, CIP 110785)

Name: Corynebacterium frankenforstense (DSM 45800, CCUG 63371, CIP 110785)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 23876

Type strain

Strain Designation ST18

Culture col. no. DSM 45800 CCUG 63371 CIP 110785 ST18 JCM 32210

NCBI tax ID(s) 1437875 1230998

Special Collections DSMZ CCUG JCM CIP Literature strains

History DSMZ <- A. Lipski, Universität Bonn; ST18 <- S. C. Schulz, Universität Bonn JCM <-- CCUG 63371 <-- A. Lipski; Univ. Bonn, Germany; ST18 <-- S. C. Schulz. CIP <- 2014, DSMZ <- A. Lipski, Bonn Univ., Bonn, Germany: strain ST18 <- SC Schulz, Bonn Univ., Bonn, Germany

Links

Corynebacterium frankenforstense ST18 is an aerobe, Gram-positive, rod-shaped bacterium that was isolated from bulk milk tank of a dairy farm.

Gram-positive rod-shaped aerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 397306

DSM 45800,CCUG 63371,CIP 110785

@ref 20215

Last LPSN update 2026-05-29 08:30:31

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Mycobacteriales

Family Corynebacteriaceae

Genus Corynebacterium

Species Corynebacterium frankenforstense

Full scientific name Corynebacterium frankenforstense Wiertz et al. 2013

BacDive ID	Other strains from **Corynebacterium frankenforstense** (1)	Type strain
150601	C. frankenforstense CCUG 41716

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
31049	positive	1.25 µm	0.75 µm	rod-shaped
125439	positive				99.677
125439					92.993
125438					93
119446	positive			rod-shaped

Colony morphology

62973

Incubation period7 days

Pigmentation

31049

Productionyes

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
41936	MEDIUM 72- for trypto casein soja agar		Distilled water make up to (1000.000 ml);Trypto casein soy agar (40.000 g)
20516	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
119446	CIP Medium 72	Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)
20516	positive	growth	28
31049	positive	growth	30-42
41936	positive	growth	30
62973	positive	growth	37
67770	positive	growth	28

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
31049	aerobe
62973	microaerophile
125439	facultative anaerobe	96.75

Spore formation

31049

Spore formationno

Observation

67770

Observationquinones: MK-8(H₂)

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
31049	22599 ChEBI	arabinose	+	carbon source
31049	28757 ChEBI	fructose	+	carbon source
31049	17234 ChEBI	glucose	+	carbon source
31049	18403 ChEBI	L-arabitol	+	carbon source
31049	37684 ChEBI	mannose	+	carbon source
31049	33942 ChEBI	ribose	+	carbon source
31049	17992 ChEBI	sucrose	+	carbon source
31049	27082 ChEBI	trehalose	+	carbon source

Enzymes

@ref	Value	Activity	Ec
31049	catalase	+	1.11.1.6
31049	pyrazinamidase	+	3.5.1.B15

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	palmitate biosynthesis	100	22 of 22
66794	vitamin K metabolism	100	5 of 5
66794	ppGpp biosynthesis	100	4 of 4
66794	formaldehyde oxidation	100	3 of 3
66794	hydrogen production	100	5 of 5
66794	adipate degradation	100	2 of 2
66794	cis-vaccenate biosynthesis	100	2 of 2
66794	methylglyoxal degradation	100	5 of 5
66794	acetate fermentation	100	4 of 4
66794	coenzyme A metabolism	100	4 of 4
66794	folate polyglutamylation	100	1 of 1
66794	denitrification	100	2 of 2
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	suberin monomers biosynthesis	100	2 of 2
66794	acetoin degradation	100	3 of 3
66794	threonine metabolism	90	9 of 10
66794	starch degradation	90	9 of 10
66794	serine metabolism	88.89	8 of 9
66794	aspartate and asparagine 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	glycolate and glyoxylate degradation	83.33	5 of 6
66794	glutamate and glutamine metabolism	82.14	23 of 28
66794	metabolism of disaccharids	81.82	9 of 11
66794	pentose phosphate pathway	81.82	9 of 11
66794	glycogen metabolism	80	4 of 5
66794	lipoate biosynthesis	80	4 of 5
66794	citric acid cycle	78.57	11 of 14
66794	chorismate metabolism	77.78	7 of 9
66794	molybdenum cofactor biosynthesis	77.78	7 of 9
66794	valine metabolism	77.78	7 of 9
66794	vitamin B1 metabolism	76.92	10 of 13
66794	sulfopterin metabolism	75	3 of 4
66794	biotin biosynthesis	75	3 of 4
66794	lactate fermentation	75	3 of 4
66794	gluconeogenesis	75	6 of 8
66794	butanoate fermentation	75	3 of 4
66794	glycogen biosynthesis	75	3 of 4
66794	C4 and CAM-carbon fixation	75	6 of 8
66794	pyrimidine metabolism	73.33	33 of 45
66794	alanine metabolism	72.41	21 of 29
66794	NAD metabolism	72.22	13 of 18
66794	reductive acetyl coenzyme A pathway	71.43	5 of 7
66794	purine metabolism	71.28	67 of 94
66794	glycolysis	70.59	12 of 17
66794	propionate fermentation	70	7 of 10
66794	phenylalanine metabolism	69.23	9 of 13
66794	CO2 fixation in Crenarchaeota	66.67	6 of 9
66794	enterobactin biosynthesis	66.67	2 of 3
66794	flavin biosynthesis	66.67	10 of 15
66794	octane oxidation	66.67	2 of 3
66794	L-lactaldehyde degradation	66.67	2 of 3
66794	ketogluconate metabolism	62.5	5 of 8
66794	degradation of sugar alcohols	62.5	10 of 16
66794	dTDPLrhamnose biosynthesis	62.5	5 of 8
66794	leucine metabolism	61.54	8 of 13
66794	isoprenoid biosynthesis	61.54	16 of 26
66794	oxidative phosphorylation	61.54	56 of 91
66794	metabolism of amino sugars and derivatives	60	3 of 5
66794	peptidoglycan biosynthesis	60	9 of 15
66794	tryptophan metabolism	57.89	22 of 38
66794	methionine metabolism	57.69	15 of 26
66794	tetrahydrofolate metabolism	57.14	8 of 14
66794	cysteine metabolism	55.56	10 of 18
66794	d-mannose degradation	55.56	5 of 9
66794	non-pathway related	55.26	21 of 38
66794	proline metabolism	54.55	6 of 11
66794	histidine metabolism	51.72	15 of 29
66794	lipid metabolism	51.61	16 of 31
66794	phenylmercury acetate degradation	50	1 of 2
66794	ethanol fermentation	50	1 of 2
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	50	4 of 8
66794	CMP-KDO biosynthesis	50	2 of 4
66794	glycine metabolism	50	5 of 10
66794	pantothenate biosynthesis	50	3 of 6
66794	Entner Doudoroff pathway	50	5 of 10
66794	glutathione metabolism	50	7 of 14
66794	sphingosine metabolism	50	3 of 6
66794	selenocysteine biosynthesis	50	3 of 6
66794	arginine metabolism	50	12 of 24
66794	mannosylglycerate biosynthesis	50	1 of 2
66794	degradation of pentoses	46.43	13 of 28
66794	sulfate reduction	46.15	6 of 13
66794	vitamin B6 metabolism	45.45	5 of 11
66794	lysine metabolism	45.24	19 of 42
66794	cardiolipin biosynthesis	42.86	3 of 7
66794	tyrosine metabolism	42.86	6 of 14
66794	heme metabolism	42.86	6 of 14
66794	degradation of aromatic, nitrogen containing compounds	41.67	5 of 12
66794	glycine betaine biosynthesis	40	2 of 5
66794	phenylacetate degradation (aerobic)	40	2 of 5
66794	arachidonate biosynthesis	40	2 of 5
66794	coenzyme M biosynthesis	40	4 of 10
66794	degradation of hexoses	38.89	7 of 18
66794	d-xylose degradation	36.36	4 of 11
66794	lipid A biosynthesis	33.33	3 of 9
66794	nitrate assimilation	33.33	3 of 9
66794	cyanate degradation	33.33	1 of 3
66794	methane metabolism	33.33	1 of 3
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	methanogenesis from CO2	33.33	4 of 12
66794	IAA biosynthesis	33.33	1 of 3
66794	degradation of sugar acids	32	8 of 25
66794	carotenoid biosynthesis	31.82	7 of 22
66794	urea cycle	30.77	4 of 13
66794	ubiquinone biosynthesis	28.57	2 of 7
66794	cholesterol biosynthesis	27.27	3 of 11
66794	dolichyl-diphosphooligosaccharide biosynthesis	27.27	3 of 11
66794	androgen and estrogen metabolism	25	4 of 16
66794	cyclohexanol degradation	25	1 of 4
66794	toluene degradation	25	1 of 4
66794	vitamin B12 metabolism	23.53	8 of 34
66794	ascorbate metabolism	22.73	5 of 22
66794	allantoin degradation	22.22	2 of 9

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Built environment	#Container (Reservoir)
#Engineered	#Food production	#Dairy product
#Engineered	#Industrial	#Engineered product

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent	Sampling date
20516	bulk milk tank of a dairy farm	Bonn	Germany	DEU	Europe
62973	Raw cow milk		Germany	DEU	Europe	2011-03-01
67770	Bulk milk tank of a dairy farm		Germany	DEU	Europe
119446	Bulk milk tank of a dairy farm	Bonn	Germany	DEU	Europe

Taxonmaps

69479

Global distribution of 16S sequence HE983827 (>99% sequence identity) for Corynebacterium frankenforstense subclade from Microbeatlas

Aquatic Samples	44
Soil Samples	34
Animal Samples	3445
Plant Samples	14
Total Samples	3537

Interaction and safety

Risk assessment

@ref	Pathogenicity animal	Biosafety level	Biosafety level comment
20516	yes, in single cases	1	Risk group (German classification)
119446		2	Risk group (French classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM194148v1 assembly for Corynebacterium frankenforstense DSM 45800 ST18	complete	GCA_001941485	1437875.4	2988101441	1437875	99.33

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20516	Corynebacterium frankenforstense partial 16S rRNA gene, type strain ST18T	HE983827	1428		1230998

GC content

@ref	GC-content (mol%)	Method
67770	71.5	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM194148v1 assembly for Corynebacterium frankenforstense DSM 45800 ST18
BV-BRC: 1437875.4

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	96.75	no
125439	motility	BacteriaNetⓘ	no	92.99	no
125439	gram_stain	BacteriaNetⓘ	positive	99.68	no
125439	spore_formation	BacteriaNetⓘ	yes	42.27	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Corynebacterium frankenforstense DSM 45800 ST18
NCBI: GCA_001941485.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	88.78	yes
125438	anaerobic	anaerobicⓘ	no	92.59	yes
125438	aerobic	aerobicⓘ	yes	51.05	no
125438	spore-forming	spore-formingⓘ	no	83.07	yes
125438	thermophilic	thermophileⓘ	no	93.98	no
125438	flagellated	motile2+ⓘ	no	93.00	yes

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	The Scent Gland Microbiomes of Wild Tamarins Provide New Insight Into Microbial Contributions to Olfactory Communication.	Carboni S, Poirier AC, Peralta-Aguilar AP, Watsa M, Erkenswick G, Melin AD.	Ecol Evol	10.1002/ece3.72335	2025
	Characterization of the microbiome and volatile compounds in anal gland secretions from domestic cats (Felis catus) using metagenomics and metabolomics.	Rojas CA, Marks SL, Borras E, Lesea H, McCartney MM, Coil DA, Davis CE, Eisen JA.	Sci Rep	10.1038/s41598-023-45997-1	2023
Phylogeny	Association of gestational diabetes mellitus with changes in gut microbiota composition at the species level.	Chen F, Gan Y, Li Y, He W, Wu W, Wang K, Li Q.	BMC Microbiol	10.1186/s12866-021-02207-0	2021
	High Levels of Oxidative Stress Create a Microenvironment That Significantly Decreases the Diversity of the Microbiota in Diabetic Chronic Wounds and Promotes Biofilm Formation.	Kim JH, Ruegger PR, Lebig EG, VanSchalkwyk S, Jeske DR, Hsiao A, Borneman J, Martins-Green M.	Front Cell Infect Microbiol	10.3389/fcimb.2020.00259	2020
	Causes of Sow Mortality and Risks to Post-Mortem Findings in a Brazilian Intensive Swine Production System.	Monteiro MS, Matias DN, Poor AP, Dutra MC, Moreno LZ, Parra BM, Silva APS, Matajira CEC, de Moura Gomes VT, Barbosa MRF, Sato MIZ, Moreno AM.	Animals (Basel)	10.3390/ani12141804	2022
Phylogeny	Corynebacterium uberis sp. nov. frequently isolated from bovine mastitis.	Kittl S, Studer E, Brodard I, Thomann A, Jores J.	Syst Appl Microbiol	10.1016/j.syapm.2022.126325	2022
Phylogeny	Corynebacterium frankenforstense sp. nov. and Corynebacterium lactis sp. nov., isolated from raw cow milk.	Wiertz R, Schulz SC, Muller U, Kampfer P, Lipski A	Int J Syst Evol Microbiol	10.1099/ijs.0.050757-0	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 )
#20516	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 45800
#27379	IJSEM 4495 2013 ( DOI 10.1099/ijs.0.050757-0 , PubMed 23907219 )
#31049	Barberan A, Caceres Velazquez H, Jones S, Fierer N.: Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information. mSphere 2: 2017 ( DOI 10.1128/mSphere.00237-17 , PubMed 28776041 ) - originally annotated from #27379
#41936	; Curators of the CIP;
#62973	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 63371
#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 .
#119446	Collection of Institut Pasteur ; Curators of the CIP; CIP 110785
#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 frankenforstense (DSM 45800, CCUG 63371, CIP 110785)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Pigmentation

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

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_001941485

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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