Porphyromonas crevioricanis (CCUG 47794, ATCC 55563, JCM 15906)

Name: Porphyromonas crevioricanis (CCUG 47794, ATCC 55563, JCM 15906)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 152858

Type strain

Culture col. no. CCUG 47794 ATCC 55563 JCM 15906

NCBI tax ID(s) 1305617 393921

Special Collections CCUG JCM

History M. Hirasawa NUM 402.

Links

Porphyromonas crevioricanis CCUG 47794 is an anaerobe, mesophilic prokaryote that was isolated from Dog,beagle,gingival crevicular fluid.

anaerobe mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 46942

ATCC 55563,CCUG 47794,JCM 15906

@ref 20215

Last LPSN update 2026-02-09 11:37:00

Domain Bacteria

Phylum Bacteroidota

Class Bacteroidia

Order Bacteroidales

Family Porphyromonadaceae

Genus Porphyromonas

Species Porphyromonas crevioricanis

Full scientific name Porphyromonas crevioricanis Hirasawa and Takada 1994

Synonyms (1)

Porphyromonas cansulci

BacDive ID	Other strains from **Porphyromonas crevioricanis** (2)	Type strain
132849	P. crevioricanis DSM 104771, AHN 4364, CCUG 47702, JCM 13913, ...
155314	P. crevioricanis CCUG 57307

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	96.771
125439	negative	99.9

Colony morphology

57876

Incubation period3 days

Culture and growth conditions

Culture temp

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

Physiology and metabolism

Oxygen tolerance

57876

Oxygen toleranceanaerobe

Spore formation

@ref	Spore formation	Confidence
125438		94.474
125439		99.8

Observation

67770

Observationquinones: MK-9, MK-10

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	C4 and CAM-carbon fixation	100	8 of 8
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	sulfopterin metabolism	100	4 of 4
66794	coenzyme A metabolism	100	4 of 4
66794	vitamin K metabolism	100	5 of 5
66794	cardiolipin biosynthesis	100	7 of 7
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	adipate degradation	100	2 of 2
66794	suberin monomers biosynthesis	100	2 of 2
66794	biotin biosynthesis	100	4 of 4
66794	folate polyglutamylation	100	1 of 1
66794	butanoate fermentation	100	4 of 4
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	teichoic acid biosynthesis	100	1 of 1
66794	palmitate biosynthesis	95.45	21 of 22
66794	lipid A biosynthesis	88.89	8 of 9
66794	chorismate metabolism	88.89	8 of 9
66794	CO2 fixation in Crenarchaeota	88.89	8 of 9
66794	NAD metabolism	88.89	16 of 18
66794	gluconeogenesis	87.5	7 of 8
66794	peptidoglycan biosynthesis	80	12 of 15
66794	photosynthesis	78.57	11 of 14
66794	tetrahydrofolate metabolism	78.57	11 of 14
66794	aspartate and asparagine metabolism	77.78	7 of 9
66794	d-mannose degradation	77.78	7 of 9
66794	vitamin B12 metabolism	76.47	26 of 34
66794	ppGpp biosynthesis	75	3 of 4
66794	acetate fermentation	75	3 of 4
66794	CMP-KDO biosynthesis	75	3 of 4
66794	propanol degradation	71.43	5 of 7
66794	heme metabolism	71.43	10 of 14
66794	propionate fermentation	70	7 of 10
66794	alanine metabolism	68.97	20 of 29
66794	acetoin degradation	66.67	2 of 3
66794	pyrimidine metabolism	66.67	30 of 45
66794	formaldehyde oxidation	66.67	2 of 3
66794	serine metabolism	66.67	6 of 9
66794	flavin biosynthesis	66.67	10 of 15
66794	purine metabolism	64.89	61 of 94
66794	glycolysis	64.71	11 of 17
66794	glutamate and glutamine metabolism	64.29	18 of 28
66794	isoleucine metabolism	62.5	5 of 8
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	62.5	5 of 8
66794	methylglyoxal degradation	60	3 of 5
66794	isoprenoid biosynthesis	57.69	15 of 26
66794	pentose phosphate pathway	54.55	6 of 11
66794	vitamin B6 metabolism	54.55	6 of 11
66794	lysine metabolism	52.38	22 of 42
66794	kanosamine biosynthesis II	50	1 of 2
66794	ethanol fermentation	50	1 of 2
66794	dTDPLrhamnose biosynthesis	50	4 of 8
66794	dolichol and dolichyl phosphate biosynthesis	50	1 of 2
66794	glycogen biosynthesis	50	2 of 4
66794	aminopropanol phosphate biosynthesis	50	1 of 2
66794	threonine metabolism	50	5 of 10
66794	cis-vaccenate biosynthesis	50	1 of 2
66794	citric acid cycle	50	7 of 14
66794	selenocysteine biosynthesis	50	3 of 6
66794	vitamin B1 metabolism	46.15	6 of 13
66794	lipid metabolism	45.16	14 of 31
66794	polyamine pathway	43.48	10 of 23
66794	ubiquinone biosynthesis	42.86	3 of 7
66794	degradation of aromatic, nitrogen containing compounds	41.67	5 of 12
66794	histidine metabolism	41.38	12 of 29
66794	lipoate biosynthesis	40	2 of 5
66794	glycine metabolism	40	4 of 10
66794	myo-inositol biosynthesis	40	4 of 10
66794	factor 420 biosynthesis	40	2 of 5
66794	glycogen metabolism	40	2 of 5
66794	tryptophan metabolism	39.47	15 of 38
66794	phenylpropanoid biosynthesis	38.46	5 of 13
66794	phenylalanine metabolism	38.46	5 of 13
66794	methionine metabolism	38.46	10 of 26
66794	ketogluconate metabolism	37.5	3 of 8
66794	metabolism of disaccharids	36.36	4 of 11
66794	non-pathway related	34.21	13 of 38
66794	octane oxidation	33.33	1 of 3
66794	glycolate and glyoxylate degradation	33.33	2 of 6
66794	valine metabolism	33.33	3 of 9
66794	enterobactin biosynthesis	33.33	1 of 3
66794	pantothenate biosynthesis	33.33	2 of 6
66794	IAA biosynthesis	33.33	1 of 3
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	L-lactaldehyde degradation	33.33	1 of 3
66794	oxidative phosphorylation	31.87	29 of 91
66794	urea cycle	30.77	4 of 13
66794	4-hydroxyphenylacetate degradation	30	3 of 10
66794	Entner Doudoroff pathway	30	3 of 10
66794	coenzyme M biosynthesis	30	3 of 10
66794	glutathione metabolism	28.57	4 of 14
66794	reductive acetyl coenzyme A pathway	28.57	2 of 7
66794	tyrosine metabolism	28.57	4 of 14
66794	cysteine metabolism	27.78	5 of 18
66794	ascorbate metabolism	27.27	6 of 22
66794	toluene degradation	25	1 of 4
66794	androgen and estrogen metabolism	25	4 of 16
66794	degradation of sugar alcohols	25	4 of 16
66794	lactate fermentation	25	1 of 4
66794	cyclohexanol degradation	25	1 of 4
66794	sulfate reduction	23.08	3 of 13
66794	leucine metabolism	23.08	3 of 13
66794	phosphatidylethanolamine bioynthesis	23.08	3 of 13
66794	degradation of hexoses	22.22	4 of 18
66794	arachidonic acid metabolism	22.22	4 of 18
66794	arginine metabolism	20.83	5 of 24

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Mammals	#Canidae (Dog)
#Host Body Product	#Fluids	-

Isolation

@ref	Sample type	Sampling date
57876	Dog,beagle,gingival crevicular fluid	1993
67770	Gingival crevicular fluids obtained from beagle

Taxonmaps

69479

Global distribution of 16S sequence AB430829 (>99% sequence identity) for Porphyromonas crevioricanis subclade from Microbeatlas

Aquatic Samples	75
Soil Samples	129
Animal Samples	5055
Plant Samples	26
Total Samples	5285

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	IMG-taxon 2585428092 annotated assembly for Porphyromonas crevioricanis ATCC 55563	scaffold	GCA_900167225	393921.10	2585428092	393921	73.53
67770	ASM50924v1 assembly for Porphyromonas crevioricanis JCM 15906	contig	GCA_000509245	1305617.3	2606217151	1305617	55.93

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
67770	Porphyromonas crevioricanis gene for 16S rRNA, partial sequence, strain: ATCC 55563	AB430829	1430	393921
67770	Porphyromonas crevioricanis gene for 16S ribosomal RNA, partial sequence, strain: JCM 15906	AB547658	1492	393921
124043	Porphyromonas crevioricanis strain ATCC 55563 16S ribosomal RNA gene, partial sequence.	DQ677836	1261	393921

GC content

@ref	GC-content (mol%)	Method
67770	45.9	high performance liquid chromatography (HPLC)
67770	44-45	high performance liquid chromatography (HPLC)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Porphyromonas crevioricanis ATCC 55563
NCBI: GCA_900167225

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	99.80	no
125439	motility	BacteriaNetⓘ	no	58.80	no
125439	gram_stain	BacteriaNetⓘ	negative	99.90	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	65.70	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Porphyromonas crevioricanis JCM 15906
PATRIC: 1305617.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	96.77	no
125438	anaerobic	anaerobicⓘ	yes	86.64	yes
125438	spore-forming	spore-formingⓘ	no	94.47	no
125438	aerobic	aerobicⓘ	no	95.48	no
125438	thermophilic	thermophileⓘ	no	94.47	yes
125438	flagellated	motile2+ⓘ	no	89.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	Investigation of the thermophilic mechanism in the genus Porphyrobacter by comparative genomic analysis.	Xu L, Wu YH, Zhou P, Cheng H, Liu Q, Xu XW.	BMC Genomics	10.1186/s12864-018-4789-4	2018
Genetics	Draft Genome Sequences of Porphyromonas crevioricanis JCM 15906T and Porphyromonas cansulci JCM 13913T Isolated from a Canine Oral Cavity.	Sakamoto M, Tanaka N, Shiwa Y, Yoshikawa H, Ohkuma M	Genome Announc	10.1128/genomeA.00483-13	2013
Phylogeny	Porphyromonas crevioricanis is an earlier heterotypic synonym of Porphyromonas cansulci and has priority.	Sakamoto M, Ohkuma M	Int J Syst Evol Microbiol	10.1099/ijs.0.042531-0	2012
Phylogeny	Paenibacillus xerothermodurans sp. nov., an extremely dry heat resistant spore forming bacterium isolated from the soil of Cape Canaveral, Florida.	Kaur N, Seuylemezian A, Patil PP, Patil P, Krishnamurti S, Varelas J, Smith DJ, Mayilraj S, Vaishampayan P.	Int J Syst Evol Microbiol	10.1099/ijsem.0.002967	2018

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 )
#57876	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 47794
#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 .
#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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Porphyromonas crevioricanis (CCUG 47794, ATCC 55563, JCM 15906)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Culture and growth conditions

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Observation

Pathway annotation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_900167225

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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