Bordetella parapertussis (CCUG 33551, ATCC 15237, NCTC 10853)

Name: Bordetella parapertussis (CCUG 33551, ATCC 15237, NCTC 10853)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 147413

Type strain

Culture col. no. CCUG 33551 ATCC 15237 NCTC 10853

NCBI tax ID(s) 519

Special Collections CCUG

Links

Bordetella parapertussis CCUG 33551 is a bacterium that was isolated from Cough plate.

genome sequence Bacteria

Name and taxonomic classification

SI-ID 1319

LMG 1818,ATCC 15237,NCTC 10853,CCUG 33551

@ref 20215

Last LPSN update 2026-02-09 11:35:40

Domain Bacteria

Phylum Pseudomonadota

Class Betaproteobacteria

Order Burkholderiales

Family Alcaligenaceae

Genus Bordetella

Species Bordetella parapertussis

Full scientific name Bordetella parapertussis (Eldering and Kendrick 1938) Moreno-López 1952 (Approved Lists 1980)

Synonyms (1)

"Bacillus parapertussis"

BacDive ID	Other strains from **Bordetella parapertussis** (45)	Type strain
368	B. parapertussis 522, DSM 13415, ATCC 15311, CCUG 413, LMG ... (type strain)
367	B. parapertussis MIS180, DSM 4922
134665	B. parapertussis 143, R340, CIP 107613
134767	B. parapertussis 17903 L4, CIP 61.14
135634	B. parapertussis 1333, CIP 63.34
135734	B. parapertussis 210, R341, CIP 107612
136250	B. parapertussis 1111, R343, CIP 107610
136669	B. parapertussis R342, 756, CIP 107611
138892	B. parapertussis 22651 L2, CIP 63.2
138893	B. parapertussis 1074, CIP 63.33
139421	B. parapertussis Irène, CIP 62.26
141326	B. parapertussis CCUG 882, NCTC 7385, LMG 14450
141629	B. parapertussis CCUG 4099, LMG 14451
142629	B. parapertussis CCUG 13437
143876	B. parapertussis CCUG 21692
143877	B. parapertussis CCUG 21693
144045	B. parapertussis CCUG 22566
144067	B. parapertussis CCUG 22674
144084	B. parapertussis CCUG 22885
144340	B. parapertussis CCUG 24674
146331	B. parapertussis CCUG 30933
146917	B. parapertussis CCUG 32448
147434	B. parapertussis CCUG 33578
147436	B. parapertussis CCUG 33580
149088	B. parapertussis CCUG 36842
149089	B. parapertussis CCUG 36843
149090	B. parapertussis CCUG 36844
149091	B. parapertussis CCUG 36845
149092	B. parapertussis CCUG 36846
149093	B. parapertussis CCUG 36847
149094	B. parapertussis CCUG 36848
149095	B. parapertussis CCUG 36849
149221	B. parapertussis CCUG 37292
149937	B. parapertussis CCUG 38719
156496	B. parapertussis CCUG 62178
173360	B. parapertussis BPP003, CRBIP4.183, BOR 183
173361	B. parapertussis BPP004, CRBIP4.184, BOR 184
173362	B. parapertussis BPP005, CRBIP4.185, BOR 185
173363	B. parapertussis BPP006, CRBIP4.186, BOR 186
173364	B. parapertussis BPP007, CRBIP4.187, BOR 187
173365	B. parapertussis BPP008, CRBIP4.194, BOR 194
173366	B. parapertussis BPP009, CRBIP4.195, BOR 195
173367	B. parapertussis BPP010, CRBIP4.196, BOR 196
173368	B. parapertussis BPP11, CRBIP4.197, BOR 197
173369	B. parapertussis BPP012, CRBIP4.198, BOR 198

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	90.8
125438	negative	96.979

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	97.9

Fatty acid profile

Metadata FA analysis

@ref

51585

Fatty acid	Percentage	ECL
C16:0	41.2	16
C17:0 CYCLO	26.5	16.888
C16:1 ω7c	12.2	15.819
C14:0	4.6	14
C18:0	4.6	18
C14:0 3OH/C16:1 ISO I	4	15.485
C17:0	2.2	17
C10:0 3OH	1.8	11.423
C18:1 ω9c	1.5	17.769
C18:2 ω6,9c/C18:0 ANTE	0.8	17.724
C15:0	0.7	15

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Laboratory	#Defined media

Isolation

51585

Sample typeCough plate

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	45813_D01 assembly for Bordetella parapertussis NCTC10853	contig	GCA_900445795	519.17	2811995280	519	78.15

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Bordetella parapertussis NCTC10853
NCBI: GCA_900445795

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	88.50	no
125439	motility	BacteriaNetⓘ	yes	78.40	no
125439	gram_stain	BacteriaNetⓘ	negative	90.80	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	97.90	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Bordetella parapertussis strain NCTC10853
PATRIC: 519.17

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	96.98	no
125438	anaerobic	anaerobicⓘ	no	98.24	no
125438	spore-forming	spore-formingⓘ	no	89.05	no
125438	aerobic	aerobicⓘ	yes	87.34	no
125438	thermophilic	thermophileⓘ	no	97.57	no
125438	flagellated	motile2+ⓘ	yes	86.27	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Outer-Membrane-Vesicle-Associated O Antigen, a Crucial Component for Protecting Against Bordetella parapertussis Infection.	Bottero D, Zurita ME, Gaillard ME, Carriquiriborde F, Martin Aispuro P, Elizagaray M, Bartel E, Castuma C, Hozbor D.	Front Immunol	10.3389/fimmu.2018.02501	2018
	Evaluation of amplification targets for the specific detection of Bordetella pertussis using real-time polymerase chain reaction.	Hasan MR, Tan R, Al-Rawahi GN, Thomas E, Tilley P.	Can J Infect Dis Med Microbiol	10.1155/2014/763128	2014
Enzymology	Development and evaluation of real-time PCR assays for the detection of the newly identified KI and WU polyomaviruses.	Bialasiewicz S, Whiley DM, Lambert SB, Gould A, Nissen MD, Sloots TP.	J Clin Virol	10.1016/j.jcv.2007.07.015	2007
Enzymology	Rapid-cycle PCR method to detect Bordetella pertussis that fulfills all consensus recommendations for use of PCR in diagnosis of pertussis.	Farrell DJ, McKeon M, Daggard G, Loeffelholz MJ, Thompson CJ, Mukkur TK.	J Clin Microbiol	10.1128/jcm.38.12.4499-4502.2000	2000
Enzymology	Nested duplex PCR to detect Bordetella pertussis and Bordetella parapertussis and its application in diagnosis of pertussis in nonmetropolitan Southeast Queensland, Australia.	Farrell DJ, Daggard G, Mukkur TK.	J Clin Microbiol	10.1128/jcm.37.3.606-610.1999	1999
	Development and evaluation of a loop-mediated isothermal amplification method for rapid diagnosis of Bordetella pertussis infection.	Kamachi K, Toyoizumi-Ajisaka H, Toda K, Soeung SC, Sarath S, Nareth Y, Horiuchi Y, Kojima K, Takahashi M, Arakawa Y.	J Clin Microbiol	10.1128/jcm.44.5.1899-1902.2006	2006
Enzymology	Validation of nested Bordetella PCR in pertussis vaccine trial.	Reizenstein E, Lindberg L, Mollby R, Hallander HO.	J Clin Microbiol	10.1128/jcm.34.4.810-815.1996	1996
	Monoclonal antibody-based sandwich enzyme-linked immunosorbent assay for detection of Bordetella pertussis filamentous hemagglutinin.	Gustafsson B, Askelof P.	J Clin Microbiol	10.1128/jcm.26.10.2077-2082.1988	1988
Enzymology	Nested PCR optimized for detection of Bordetella pertussis in clinical nasopharyngeal samples.	Backman A, Johansson B, Olcen P.	J Clin Microbiol	10.1128/jcm.32.10.2544-2548.1994	1994
Enzymology	Multiplex PCR-based assay for detection of Bordetella pertussis in nasopharyngeal swab specimens.	Wadowsky RM, Michaels RH, Libert T, Kingsley LA, Ehrlich GD.	J Clin Microbiol	10.1128/jcm.34.11.2645-2649.1996	1996
	Bacteriological variation among Bordetella bronchiseptica isolates from dogs and other species.	Bemis DA, Greisen HA, Appel MJ.	J Clin Microbiol	10.1128/jcm.5.4.471-480.1977	1977

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 )
#51585	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 33551
#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 )

Rate our new design

Content

About us

Bordetella parapertussis (CCUG 33551, ATCC 15237, NCTC 10853)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

Fatty acid profile

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_900445795

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

Help

Social Media