Borrelia japonica (JCM 8951, ATCC 51557)

Name: Borrelia japonica (JCM 8951, ATCC 51557)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 165979

Type strain

Culture col. no. JCM 8951 ATCC 51557

NCBI tax ID(s) 34095

Special Collections JCM

History JCM <-- T. Masuzawa HO14.

Links

Borrelia japonica JCM 8951 is a bacterium that was isolated from Ixodod tick .

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 43047

ATCC 51557,JCM 8951

@ref 20215

Last LPSN update 2026-05-29 08:45:47

Domain Bacteria

Phylum Spirochaetota

Class Spirochaetia

Order Spirochaetales

Family Borreliaceae

Genus Borrelia

Species Borrelia japonica

Full scientific name Borrelia japonica Kawabata et al. 1994

Synonyms (1)

Borreliella japonica

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	99.987

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)
67770	positive	growth	33

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	facultative anaerobe	98.574

Spore formation

@ref	Spore formation	Confidence
125438		94.864
125439		99.98

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Host species	Geographic location	Country	Country ISO 3 Code	Continent
67770	Ixodod tick (Ixodes ovatus)	Ixodes ovatus	Hokkaido	Japan	JPN	Asia

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 2597490341 annotated assembly for Borreliella japonica ATCC 51557	scaffold	GCA_900099615	34095.9	2597490341	34095	65.29

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Borrelia japonica 16S ribosomal RNA (16S rRNA) gene	L40597	1494		34095

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: IMG-taxon 2597490341 annotated assembly for Borreliella japonica ATCC 51557
BV-BRC: 34095.9

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	98.57	no
125439	motility	BacteriaNetⓘ	yes	51.65	no
125439	gram_stain	BacteriaNetⓘ	negative	99.99	no
125439	spore_formation	BacteriaNetⓘ	no	99.98	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Borreliella japonica strain ATCC 51557
PATRIC: 34095.9

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	82.71	no
125438	anaerobic	anaerobicⓘ	no	81.50	no
125438	spore-forming	spore-formingⓘ	no	94.86	no
125438	aerobic	aerobicⓘ	no	94.38	no
125438	thermophilic	thermophileⓘ	no	89.63	no
125438	flagellated	motile2+ⓘ	yes	50.45	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	The genus Borrelia reloaded.	Margos G, Gofton A, Wibberg D, Dangel A, Marosevic D, Loh SM, Oskam C, Fingerle V.	PLoS One	10.1371/journal.pone.0208432	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 )
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#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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Borrelia japonica (JCM 8951, ATCC 51557)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Isolation, sampling and environmental information

Isolation

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_900099615

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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