Capnocytophaga canimorsus (CCUG 17663)

Name: Capnocytophaga canimorsus (CCUG 17663)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 143175

Type strain

Culture col. no. CCUG 17663

NCBI tax ID(s) 28188

Special Collections CCUG

Links

Capnocytophaga canimorsus CCUG 17663 is a prokaryote that was isolated from Human aorta fragment,35-yr-old woman.

genome sequence

Name and taxonomic classification

SI-ID 215368

CCUG 17663

@ref 20215

Last LPSN update 2026-02-09 11:34:28

Domain Bacteria

Phylum Bacteroidota

Class Flavobacteriia

Order Flavobacteriales

Family Flavobacteriaceae

Genus Capnocytophaga

Species Capnocytophaga canimorsus

Full scientific name Capnocytophaga canimorsus Brenner et al. 1990

BacDive ID	Other strains from **Capnocytophaga canimorsus** (120)	Type strain
5493	C. canimorsus 2340-2-61, 7120, DSM 19204, ATCC 35979, CCTM ... (type strain)
142450	C. canimorsus CCUG 12569, LMG 11510
142966	C. canimorsus CCUG 15945
143074	C. canimorsus CCUG 16984
143109	C. canimorsus CCUG 17234, LMG 11511
143110	C. canimorsus CCUG 17235
143111	C. canimorsus CCUG 17236
143218	C. canimorsus CCUG 17817
143382	C. canimorsus CCUG 18811
143408	C. canimorsus CCUG 18951 A
143419	C. canimorsus CCUG 19052
143439	C. canimorsus CCUG 19140
143440	C. canimorsus CCUG 19141
143469	C. canimorsus CCUG 19434
143536	C. canimorsus CCUG 19952
143537	C. canimorsus CCUG 19953
143539	C. canimorsus CCUG 19955
143542	C. canimorsus CCUG 19979
143548	C. canimorsus CCUG 20018
143554	C. canimorsus CCUG 20054
143560	C. canimorsus CCUG 20114
143579	C. canimorsus CCUG 20313
143580	C. canimorsus CCUG 20314
143581	C. canimorsus CCUG 20315
143582	C. canimorsus CCUG 20316
143583	C. canimorsus CCUG 20317
143584	C. canimorsus CCUG 20318
144140	C. canimorsus CCUG 23144
144361	C. canimorsus CCUG 24741, MCCM 00060, ATCC 35978, LMG 11541, ...
144382	C. canimorsus CCUG 24824
144478	C. canimorsus CCUG 25188
144486	C. canimorsus CCUG 25240
145339	C. canimorsus CCUG 28225
145973	C. canimorsus CCUG 30050
146037	C. canimorsus CCUG 30237
146038	C. canimorsus CCUG 30238
146167	C. canimorsus CCUG 30491
146681	C. canimorsus CCUG 31792
147244	C. canimorsus CCUG 33174
147245	C. canimorsus CCUG 33175
147264	C. canimorsus CCUG 33224
147548	C. canimorsus CCUG 33783
148057	C. canimorsus CCUG 34741
148747	C. canimorsus CCUG 35893
149222	C. canimorsus CCUG 37293
149470	C. canimorsus CCUG 37801
149649	C. canimorsus CCUG 38114
149737	C. canimorsus CCUG 38302
149757	C. canimorsus CCUG 38333
149764	C. canimorsus CCUG 38353 A
149765	C. canimorsus CCUG 38353 B
149766	C. canimorsus CCUG 38354
149928	C. canimorsus CCUG 38694
149932	C. canimorsus CCUG 38709
150005	C. canimorsus CCUG 38828
150042	C. canimorsus CCUG 38907
150062	C. canimorsus CCUG 38937
150097	C. canimorsus CCUG 38985
150119	C. canimorsus CCUG 39024
150296	C. canimorsus CCUG 39555
150297	C. canimorsus CCUG 39560
150542	C. canimorsus CCUG 41543
150735	C. canimorsus CCUG 42120
150787	C. canimorsus CCUG 42328
150808	C. canimorsus CCUG 42404
150850	C. canimorsus CCUG 42561
150867	C. canimorsus CCUG 42590
150896	C. canimorsus CCUG 42656
150914	C. canimorsus CCUG 42737
150919	C. canimorsus CCUG 42749
150954	C. canimorsus CCUG 42839
151006	C. canimorsus CCUG 43025
151043	C. canimorsus CCUG 43148
151087	C. canimorsus CCUG 43240
151110	C. canimorsus CCUG 43293
151163	C. canimorsus CCUG 43393
151185	C. canimorsus CCUG 43420
151186	C. canimorsus CCUG 43421
151366	C. canimorsus CCUG 43882
151608	C. canimorsus CCUG 44441
151755	C. canimorsus CCUG 44797
151790	C. canimorsus CCUG 44883
151916	C. canimorsus CCUG 45195
152012	C. canimorsus CCUG 45528
152044	C. canimorsus CCUG 45633
152045	C. canimorsus CCUG 45634
152195	C. canimorsus CCUG 46036
152196	C. canimorsus CCUG 46037
152336	C. canimorsus CCUG 46466
152392	C. canimorsus CCUG 46648
152420	C. canimorsus CCUG 46752
152428	C. canimorsus CCUG 46768
152645	C. canimorsus CCUG 47275
152697	C. canimorsus CCUG 47403
152876	C. canimorsus CCUG 47845
152920	C. canimorsus CCUG 48013
152929	C. canimorsus CCUG 48042
153162	C. canimorsus CCUG 48606
153255	C. canimorsus CCUG 48899
153346	C. canimorsus CCUG 49305
153435	C. canimorsus CCUG 49582
153491	C. canimorsus CCUG 49742
153678	C. canimorsus CCUG 50631
153744	C. canimorsus CCUG 50848
153841	C. canimorsus CCUG 51338
154321	C. canimorsus CCUG 53076
154380	C. canimorsus CCUG 53302
154444	C. canimorsus CCUG 53638
154733	C. canimorsus CCUG 55023
154762	C. canimorsus CCUG 55116
154855	C. canimorsus CCUG 55410
154972	C. canimorsus CCUG 55909
155113	C. canimorsus CCUG 56509
155483	C. canimorsus CCUG 57842
155509	C. canimorsus CCUG 57915
156242	C. canimorsus CCUG 60839
156858	C. canimorsus CCUG 66143
156872	C. canimorsus CCUG 66222
156958	C. canimorsus CCUG 67384
171334	C. canimorsus CIMB 04-9626, CRBIP17.38

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	99.7
125438		91.074
125438	negative	98.29

Culture and growth conditions

Physiology and metabolism

Spore formation

@ref	Spore formation	Confidence
125439		98.8
125438		95.444

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Human	#Female
#Host Body-Site	#Organ	#Vascular system
#Infection	#Patient	-

Isolation

@ref	Sample type	Sampling date	Geographic location	Country	Country ISO 3 Code	Continent
46648	Human aorta fragment,35-yr-old woman	1985-05-26	Göteborg	Sweden	SWE	Europe

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	NCBI tax ID	Score
66792	ASM1327616v1 assembly for Capnocytophaga canimorsus CCUG 17663	contig	GCA_013276165	28188.34	28188	66.69

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Capnocytophaga canimorsus CCUG 17663
NCBI: GCA_013276165

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	98.80	no
125439	motility	BacteriaNetⓘ	no	77.20	no
125439	gram_stain	BacteriaNetⓘ	negative	99.70	no
125439	oxygen_tolerance	BacteriaNetⓘ	aerobe	88.70	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Capnocytophaga canimorsus strain CCUG 17663
PATRIC: 28188.34

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.29	no
125438	anaerobic	anaerobicⓘ	no	88.63	no
125438	spore-forming	spore-formingⓘ	no	95.44	no
125438	aerobic	aerobicⓘ	no	65.21	no
125438	thermophilic	thermophileⓘ	no	96.51	no
125438	flagellated	motile2+ⓘ	no	91.07	no

Literature

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 )
#46648	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 17663
#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) .
#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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