Frederiksenia canicola (DSM 25797, CCUG 62410, CCUG 36444)

Name: Frederiksenia canicola (DSM 25797, CCUG 62410, CCUG 36444)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 130519

Type strain

Culture col. no. DSM 25797 CCUG 62410 CCUG 36444 HPA 21

NCBI tax ID(s) 123824

Special Collections DSMZ CCUG

Links

Frederiksenia canicola DSM 25797 is an aerobe, mesophilic prokaryote that was isolated from pharynx of a healthy dog.

aerobe mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 398465

DSM 25797,CCUG 62410

@ref 20215

Last LPSN update 2025-12-16 10:01:01

Domain Pseudomonadati

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Pasteurellales

Family Pasteurellaceae

Genus Frederiksenia

Species Frederiksenia canicola

Full scientific name Frederiksenia canicola Korczak et al. 2014

BacDive ID	Other strains from **Frederiksenia canicola** (1)	Type strain
176940	F. canicola Br03VG, DSM 120242

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	99.4
125438		94.321
125438	negative	98.104

Colony morphology

22107

Incubation period1-2 days

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
22107	COLUMBIA BLOOD MEDIUM (DSMZ Medium 693)	Medium recipe at MediaDive	Name: COLUMBIA BLOOD MEDIUM (DSMZ Medium 693) Composition: Defibrinated sheep blood 50.0 g/l Columbia agar base
22107	BHI MEDIUM (DSMZ Medium 215)	Medium recipe at MediaDive	Name: BHI MEDIUM (DSMZ Medium 215) Composition: Brain heart infusion 37.0 g/l Distilled water
22107	TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92)	Medium recipe at MediaDive	Name: TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92) Composition: Trypticase soy broth 30.0 g/l Agar 15.0 g/l Yeast extract 3.0 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
22107	positive	growth	37	mesophilic
62826	positive	growth	37	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
62826	aerobe
125439	obligate aerobe	96.1

Spore formation

@ref	Spore formation	Confidence
125439		99.7
125438		92.168

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
68377	15824 ChEBI	D-fructose	+	builds acid from	from API NH
68377	17634 ChEBI	D-glucose	+	builds acid from	from API NH
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
68377	17306 ChEBI	maltose	+	builds acid from	from API NH
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
68377	18257 ChEBI	ornithine	-	degradation	from API NH
68369	27897 ChEBI	tryptophan	+	energy source	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
22107	catalase	+	1.11.1.6
68369	cytochrome oxidase	+	1.9.3.1	from API 20NE
22107	cytochrome-c oxidase	+	1.9.3.1
68369	gelatinase	-		from API 20NE
68377	ornithine decarboxylase	-	4.1.1.17	from API NH
68377	proline-arylamidase	-	3.4.11.5	from API NH

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	ubiquinone biosynthesis	100	7 of 7
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	ppGpp biosynthesis	100	4 of 4
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	teichoic acid biosynthesis	100	1 of 1
66794	L-lactaldehyde degradation	100	3 of 3
66794	metabolism of amino sugars and derivatives	100	5 of 5
66794	adipate degradation	100	2 of 2
66794	folate polyglutamylation	100	1 of 1
66794	vitamin K metabolism	100	5 of 5
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	coenzyme A metabolism	100	4 of 4
66794	palmitate biosynthesis	95.45	21 of 22
66794	pentose phosphate pathway	90.91	10 of 11
66794	threonine metabolism	90	9 of 10
66794	molybdenum cofactor biosynthesis	88.89	8 of 9
66794	chorismate metabolism	88.89	8 of 9
66794	lipid A biosynthesis	88.89	8 of 9
66794	C4 and CAM-carbon fixation	87.5	7 of 8
66794	gluconeogenesis	87.5	7 of 8
66794	tetrahydrofolate metabolism	85.71	12 of 14
66794	reductive acetyl coenzyme A pathway	85.71	6 of 7
66794	photosynthesis	85.71	12 of 14
66794	vitamin B1 metabolism	84.62	11 of 13
66794	glycogen metabolism	80	4 of 5
66794	methylglyoxal degradation	80	4 of 5
66794	peptidoglycan biosynthesis	80	12 of 15
66794	CO2 fixation in Crenarchaeota	77.78	7 of 9
66794	valine metabolism	77.78	7 of 9
66794	phenylalanine metabolism	76.92	10 of 13
66794	CMP-KDO biosynthesis	75	3 of 4
66794	glycogen biosynthesis	75	3 of 4
66794	isoleucine metabolism	75	6 of 8
66794	butanoate fermentation	75	3 of 4
66794	sulfopterin metabolism	75	3 of 4
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	75	6 of 8
66794	cardiolipin biosynthesis	71.43	5 of 7
66794	propanol degradation	71.43	5 of 7
66794	citric acid cycle	71.43	10 of 14
66794	urea cycle	69.23	9 of 13
66794	pyrimidine metabolism	68.89	31 of 45
66794	purine metabolism	68.09	64 of 94
66794	enterobactin biosynthesis	66.67	2 of 3
66794	formaldehyde oxidation	66.67	2 of 3
66794	acetoin degradation	66.67	2 of 3
66794	selenocysteine biosynthesis	66.67	4 of 6
66794	glycolate and glyoxylate degradation	66.67	4 of 6
66794	aspartate and asparagine metabolism	66.67	6 of 9
66794	serine metabolism	66.67	6 of 9
66794	glycolysis	64.71	11 of 17
66794	proline metabolism	63.64	7 of 11
66794	alanine metabolism	62.07	18 of 29
66794	lipid metabolism	61.29	19 of 31
66794	degradation of hexoses	61.11	11 of 18
66794	degradation of pentoses	60.71	17 of 28
66794	non-pathway related	60.53	23 of 38
66794	Entner Doudoroff pathway	60	6 of 10
66794	glycine betaine biosynthesis	60	3 of 5
66794	lipoate biosynthesis	60	3 of 5
66794	starch degradation	60	6 of 10
66794	isoprenoid biosynthesis	57.69	15 of 26
66794	methionine metabolism	57.69	15 of 26
66794	heme metabolism	57.14	8 of 14
66794	leucine metabolism	53.85	7 of 13
66794	glutamate and glutamine metabolism	53.57	15 of 28
66794	histidine metabolism	51.72	15 of 29
66794	ribulose monophosphate pathway	50	1 of 2
66794	ethanol fermentation	50	1 of 2
66794	cis-vaccenate biosynthesis	50	1 of 2
66794	suberin monomers biosynthesis	50	1 of 2
66794	tryptophan metabolism	50	19 of 38
66794	acetate fermentation	50	2 of 4
66794	propionate fermentation	50	5 of 10
66794	ascorbate metabolism	50	11 of 22
66794	lysine metabolism	50	21 of 42
66794	biotin biosynthesis	50	2 of 4
66794	phenylmercury acetate degradation	50	1 of 2
66794	ketogluconate metabolism	50	4 of 8
66794	NAD metabolism	50	9 of 18
66794	arginine metabolism	50	12 of 24
66794	cysteine metabolism	50	9 of 18
66794	oxidative phosphorylation	49.45	45 of 91
66794	phosphatidylethanolamine bioynthesis	46.15	6 of 13
66794	d-mannose degradation	44.44	4 of 9
66794	nitrate assimilation	44.44	4 of 9
66794	degradation of aromatic, nitrogen containing compounds	41.67	5 of 12
66794	glycine metabolism	40	4 of 10
66794	metabolism of disaccharids	36.36	4 of 11
66794	vitamin B6 metabolism	36.36	4 of 11
66794	d-xylose degradation	36.36	4 of 11
66794	tyrosine metabolism	35.71	5 of 14
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	octane oxidation	33.33	1 of 3
66794	IAA biosynthesis	33.33	1 of 3
66794	cyanate degradation	33.33	1 of 3
66794	(5R)-carbapenem carboxylate biosynthesis	33.33	1 of 3
66794	degradation of sugar alcohols	31.25	5 of 16
66794	phenylpropanoid biosynthesis	30.77	4 of 13
66794	coenzyme M biosynthesis	30	3 of 10
66794	myo-inositol biosynthesis	30	3 of 10
66794	glutathione metabolism	28.57	4 of 14
66794	flavin biosynthesis	26.67	4 of 15
66794	lactate fermentation	25	1 of 4
66794	cyclohexanol degradation	25	1 of 4
66794	dTDPLrhamnose biosynthesis	25	2 of 8
66794	sulfate reduction	23.08	3 of 13

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
22107	+	+	-	-	+	-	-	+	-	-	-	-	-	-	-	-	-	-	-	-	+
22107	+	+	+/-	-	-	-	-	+/-	-	-	-	-	-	-	-	-	-	-	-	-	not determinedn.d.

API NH

@ref	PEN	GLU	FRU	MAL	SAC	ODC	URE	LIP	PAL	beta GAL	ProA	GGT	IND
22107	+	+	+	+	-	-	+/-	+	+/-	-	-	+	-
22107	-	+	+	+	+	-	-	-	+	-	-	-	+
22107	-	+	+	+	+	-	-	+/-	+	+/-	-	-	+

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Mammals	#Canidae (Dog)
#Host Body-Site	#Oral cavity and airways	-

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent	Latitude	Longitude	Sampling date
22107	pharynx of a healthy dog	Denmark	DNK	Europe	55.6761	12.5683 55.6761/12.5683
62826	Dog,healthy,oral cavity	Denmark	DNK	Europe			1983

Taxonmaps

69479

Global distribution of 16S sequence JQ356598 (>99% sequence identity) for Frederiksenia canicola subclade from Microbeatlas

Aquatic Samples	329
Soil Samples	583
Animal Samples	15819
Plant Samples	90
Total Samples	16821

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
22107	2	Risk group (German classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
124043	ASM1145549v1 assembly for Frederiksenia canicola HPA 21	complete	GCA_011455495	123824.7	8062222586	123824	97.09
66792	ASM381457v1 assembly for Frederiksenia canicola DSM 25797	contig	GCA_003814575	123824.4	2786546148	123824	76.2

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
22107	Frederiksenia canicola strain HPA21 16S ribosomal RNA gene, partial sequence	JQ356598	1362		123824

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Frederiksenia canicola DSM 25797
NCBI: GCA_003814575

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	99.70	no
125439	motility	BacteriaNetⓘ	yes	60.30	no
125439	gram_stain	BacteriaNetⓘ	negative	99.40	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	96.10	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Frederiksenia canicola strain DSM 25797
PATRIC: 123824.4

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.10	no
125438	anaerobic	anaerobicⓘ	no	93.98	yes
125438	spore-forming	spore-formingⓘ	no	92.17	no
125438	aerobic	aerobicⓘ	no	67.68	yes
125438	thermophilic	thermophileⓘ	no	97.00	yes
125438	flagellated	motile2+ⓘ	no	94.32	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	Comparative Genome Analysis of Canine Frederiksenia canicola Isolates.	Doman M, Pinter K, Pollak BD, Pinter A, Wehmann E, Tenk M, Magyar T.	Antibiotics (Basel)	10.3390/antibiotics13121235	2024
Phylogeny	Oral bacteria may affect conjunctival microorganisms in brachycephalic dogs: a preliminary study.	Shin S, Seo K, Lee GY, Yang SJ, Kim SE.	Am J Vet Res	10.2460/ajvr.23.11.0260	2024
	A Comparison of the Oral Microbiota in Healthy Dogs and Dogs with Oral Tumors.	Lisjak A, Correa Lopes B, Pilla R, Nemec A, Suchodolski JS, Tozon N.	Animals (Basel)	10.3390/ani13233594	2023
Phylogeny	Occurrence of Pasteurellaceae and Neisseriaceae bacteria in the pharyngeal and respiratory tract of dogs and cats - Short communication.	Ujvari B, Orban B, Incze Z, Psader R, Magyar T.	Acta Vet Hung	10.1556/004.2020.00036	2020
Phylogeny	Detection of Frederiksenia sp. isolated from a cat with nephritis - Short communication.	Ujvari B, Szeredi L, Magyar T.	Acta Vet Hung	10.1556/004.2020.00021	2020
Enzymology	OCCURRENCE OF PASTEURELLACEAE BACTERIA IN THE ORAL CAVITY OF SELECTED MARSUPIAL SPECIES.	Hansen MJ, Bertelsen MF, Kelly A, Bojesen AM.	J Zoo Wildl Med	10.1638/2017-0071.1	2017
	The bactericidal effect of two photoactivated chromophore for keratitis-corneal crosslinking protocols (standard vs. accelerated) on bacterial isolates associated with infectious keratitis in companion animals.	Suter A, Schmitt S, Hubschke E, Kowalska M, Hartnack S, Pot S.	BMC Vet Res	10.1186/s12917-022-03397-z	2022
	Upper respiratory tract microbiota dynamics following COVID-19 in adults.	Rosas-Salazar C, Kimura KS, Shilts MH, Strickland BA, Freeman MH, Wessinger BC, Gupta V, Brown HM, Boone HH, Rajagopala SV, Turner JH, Das SR.	Microb Genom	10.1099/mgen.0.000957	2023
	Microbial Composition of Extracted Dental Alveoli in Dogs with Advanced Periodontitis.	Sakarnyte L, Mockeliunas R, Siugzdiniene R, Merkeviciene L, Virgailis M, Dailidaviciene J, Streimikyte-Mockeliune Z, Ruzauskas M.	Microorganisms	10.3390/microorganisms12071455	2024
Phylogeny	Interspecies dynamics among bacteria associated with canine periodontal disease.	Sanguansermsri P, Nobbs AH, Jenkinson HF, Surarit R.	Mol Oral Microbiol	10.1111/omi.12199	2018
Enzymology	OCCURRENCE OF PASTEURELLACEAE BACTERIA IN THE ORAL CAVITY OF THE TASMANIAN DEVIL (SARCOPHILUS HARRISII).	Brix L, Hansen MJ, Kelly A, Bertelsen MF, Bojesen AM.	J Zoo Wildl Med	10.1638/2014-0111r1.1	2015
	The Oral Microbiome across Oral Sites in Cats with Chronic Gingivostomatitis, Periodontal Disease, and Tooth Resorption Compared with Healthy Cats.	Anderson JG, Rojas CA, Scarsella E, Entrolezo Z, Jospin G, Hoffman SL, Force J, MacLellan RH, Peak M, Shope BH, Tsugawa AJ, Ganz HH.	Animals (Basel)	10.3390/ani13223544	2023
	Study of microbiocenosis of canine dental biofilms.	Kacirova J, Madari A, Mucha R, Fecskeova LK, Mujakic I, Koblizek M, Nemcova R, Madar M.	Sci Rep	10.1038/s41598-021-99342-5	2021
Pathogenicity	A wide spectrum of fastidious and ampicillin-susceptible bacteria dominate in animal-caused wounds.	Gustavsson O, Johansson AV, Monstein HJ, Nilsson LE, Bredberg A.	Eur J Clin Microbiol Infect Dis	10.1007/s10096-016-2667-z	2016
Genetics	Re-Emergence and Spread of Haemorrhagic Septicaemia in Germany: The Wolf as a Vector?	Kutzer P, Szentiks CA, Bock S, Fritsch G, Magyar T, Schulze C, Semmler T, Ewers C.	Microorganisms	10.3390/microorganisms9091999	2021
	Deleting qseC downregulates virulence and promotes cross-protection in Pasteurella multocida.	Yang Y, Hu P, Gao L, Yuan X, Hardwidge PR, Li T, Li P, He F, Peng Y, Li N.	Vet Res	10.1186/s13567-021-01009-6	2021
	Identification of small RNAs associated with RNA chaperone Hfq reveals a new stress response regulator in Actinobacillus pleuropneumoniae.	da Silva GC, Rossi CC, Rosa JN, Sanches NM, Cardoso DL, Li Y, Witney AA, Gould KA, Fontes PP, Callaghan AJ, Bosse JT, Langford PR, Bazzolli DMS.	Front Microbiol	10.3389/fmicb.2022.1017278	2022
Phylogeny	Frederiksenia canicola gen. nov., sp. nov. isolated from dogs and human dog-bite wounds.	Korczak BM, Bisgaard M, Christensen H, Kuhnert P	Antonie Van Leeuwenhoek	10.1007/s10482-014-0129-0	2014

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 )
#22107	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 25797
#62826	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 62410
#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 )
#68369	Automatically annotated from API 20NE .
#68377	Automatically annotated from API NH .
#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 .
#124043	Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy .
#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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Frederiksenia canicola (DSM 25797, CCUG 62410, CCUG 36444)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Metabolite utilization

Metabolite production

Metabolite tests

Enzymes

Pathway annotation

API 20NE

API NH

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_011455495

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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