Borrelia bavariensis (DSM 23469, ATCC BAA-2496, PBi)

Name: Borrelia bavariensis (DSM 23469, ATCC BAA-2496, PBi)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 24806

Type strain

Strain Designation PBi

Culture col. no. DSM 23469 ATCC BAA-2496 PBi

NCBI tax ID(s) 664662

Special Collections DSMZ

History <- V. Fingerle, Nationales Referenzzentrum für Borrelien <- M. Bauer, Max von Pettenkofer-Inst., Munich; PBi

Links

Borrelia bavariensis PBi is a microaerophile bacterium that was isolated from human cerebrospinal fluid.

microaerophile genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 397107

ATCC BAA-2496,DSM 23469

@ref 20215

Last LPSN update 2026-02-09 11:24:04

Domain Bacteria

Phylum Spirochaetota

Class Spirochaetia

Order Spirochaetales

Family Borreliaceae

Genus Borrelia

Species Borrelia bavariensis

Full scientific name Borrelia bavariensis Margos et al. 2013

Synonyms (2)

Borrelia garinii subsp. bavariensis
Borreliella bavariensis

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	100

Colony morphology

20465

Incubation period3-7 days

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
20465	BSK-MEDIUM (DSMZ Medium 403)		Medium recipe at MediaDive	Name: BSK-MEDIUM (DSMZ Medium 403) Composition: Bovine serum albumin 35.0245 g/l Gelatine 9.79706 g/l HEPES buffer 4.19874 g/l Proteose peptone no. 2 3.49895 g/l Glucose 2.09937 g/l Proteose yeastolate 0.69979 g/l Tryptone peptone 0.69979 g/l Na-pyruvate 0.559832 g/l Sodium citrate 0.489853 g/l N-Acetylglucosamine 0.279916 g/l MgCl2 x 6 H2O 0.209937 g/l L-Glutamine 0.069979 g/l Double distilled water CMRL 1066 Rabbit serum

Culture temp

@ref	Growth	Type	Temperature (°C)
20465	positive	growth	33

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
20465	microaerophile
125439	facultative anaerobe	98.6

Spore formation

@ref	Spore formation	Confidence
125439		100
125438		95.364

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Human	-
#Host Body Product	#Fluids	#Cerebrospinal fluid
#Infection	#Patient	-

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
20465	human cerebrospinal fluid	Ingoldstadt	Germany	DEU	Europe

Taxonmaps

69479

Global distribution of 16S sequence X85199 (>99% sequence identity) for Borreliella from Microbeatlas

Aquatic Samples	378
Soil Samples	126
Animal Samples	1133
Plant Samples	40
Total Samples	1677

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
20465	2	Risk group (German classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM381442v1 assembly for Borreliella bavariensis PBi	complete	GCA_003814425	290434.9	2844516041	290434	94.07
66792	ASM19621v1 assembly for Borreliella bavariensis PBi	complete	GCA_000196215	290434.5	643692009	290434	71.52

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20465	Borrelia garinii PBi 16S rRNA gene, strain PBi	X85199	1488		290434

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Borreliella bavariensis PBi
NCBI: GCA_000196215

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	100.00	no
125439	motility	BacteriaNetⓘ	yes	67.70	no
125439	gram_stain	BacteriaNetⓘ	negative	100.00	no
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	98.60	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Borrelia garinii subsp. bavariensis PBi PBi
NCBI: GCA_003814425.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	81.56	no
125438	anaerobic	anaerobicⓘ	no	82.49	yes
125438	aerobic	aerobicⓘ	no	94.07	no
125438	spore-forming	spore-formingⓘ	no	95.36	no
125438	thermophilic	thermophileⓘ	no	88.70	no
125438	flagellated	motile2+ⓘ	no	50.39	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	The challenges and opportunities of developing small molecule inhibitors of MraY.	Manning D, Huang TY, Berida T, Roy S.	Annu Rep Med Chem	10.1016/bs.armc.2023.09.005	2023
	Combining citizen science and molecular diagnostic methods to investigate the prevalence of Borrelia burgdorferi s.l. and Borrelia miyamotoi in tick pools across Great Britain.	Shan J, Jia Y, Hickenbotham P, Teulieres L, Clokie MRJ.	Front Microbiol	10.3389/fmicb.2023.1126498	2023
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
	Targeting Multicopy Prophage Genes for the Increased Detection of Borrelia burgdorferi Sensu Lato (s.l.), the Causative Agents of Lyme Disease, in Blood.	Shan J, Jia Y, Teulieres L, Patel F, Clokie MRJ.	Front Microbiol	10.3389/fmicb.2021.651217	2021
Metabolism	Phyloproteomic and functional analyses do not support a split in the genus Borrelia (phylum Spirochaetes).	Estrada-Pena A, Cabezas-Cruz A.	BMC Evol Biol	10.1186/s12862-019-1379-2	2019
Genetics	Analysis of 1,000+ Type-Strain Genomes Substantially Improves Taxonomic Classification of Alphaproteobacteria.	Hordt A, Lopez MG, Meier-Kolthoff JP, Schleuning M, Weinhold LM, Tindall BJ, Gronow S, Kyrpides NC, Woyke T, Goker M.	Front Microbiol	10.3389/fmicb.2020.00468	2020
	Detection of Borrelia burgdorferi antigens in tissues and plasma during early infection in a mouse model.	Dolange V, Simon S, Morel N.	Sci Rep	10.1038/s41598-021-96861-z	2021
Phylogeny	Borrelia bavariensis sp. nov. is widely distributed in Europe and Asia.	Margos G, Wilske B, Sing A, Hizo-Teufel C, Cao WC, Chu C, Scholz H, Straubinger RK, Fingerle V	Int J Syst Evol Microbiol	10.1099/ijs.0.052001-0	2013

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 )
#20465	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 23469
#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) .
#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 .
#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 bavariensis (DSM 23469, ATCC BAA-2496, PBi)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_003814425

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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