Borrelia hermsii (DSM 5251, DSM 4682, HS1)

Name: Borrelia hermsii (DSM 5251, DSM 4682, HS1)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 14304

Type strain

Strain Designation HS1

Culture col. no. DSM 5251 DSM 4682 HS1

NCBI tax ID(s) 140

Special Collections DSMZ

History <- V. Preac-Mursic <- R.C. Johnson <- H.G. Stoenner <- W. Burgdorfer

Links

Borrelia hermsii HS1 is a bacterium of the family Borreliaceae.

genome sequence Bacteria

Name and taxonomic classification

SI-ID 47864

DSM 5251,CIP 104209,ATCC 35209,DSM 4682

@ref 20215

Last LPSN update 2026-02-09 11:21:23

Domain Bacteria

Phylum Spirochaetota

Class Spirochaetia

Order Spirochaetales

Family Borreliaceae

Genus Borrelia

Species Borrelia hermsii

Full scientific name Borrelia hermsii (Davis 1942) Steinhaus 1946 (Approved Lists 1980)

Synonyms (2)

Borrelia nietonii
"Spirochaeta hermsi"

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	100

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
1971	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)
1971	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	facultative anaerobe	99

Spore formation

@ref	Spore formation	Confidence
125439		99.9
125438		94.872

Isolation, sampling and environmental information

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
1971	2	Risk group (German classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM166000v1 assembly for Borrelia hermsii HS1	complete	GCA_001660005	314723.6	2721755543	1867252	73.83

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Borrelia hermsii HS1
NCBI: GCA_001660005

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	99.90	no
125439	motility	BacteriaNetⓘ	yes	60.50	no
125439	gram_stain	BacteriaNetⓘ	negative	100.00	no
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	99.00	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Borrelia hermsii HS1 HS1
NCBI: GCA_001660005.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	81.56	no
125438	anaerobic	anaerobicⓘ	no	79.43	no
125438	aerobic	aerobicⓘ	no	94.34	no
125438	spore-forming	spore-formingⓘ	no	94.87	no
125438	thermophilic	thermophileⓘ	no	92.34	yes
125438	flagellated	motile2+ⓘ	yes	51.95	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	A Fluorescence in Situ Hybridization (FISH) Test for Diagnosing Babesiosis.	Shah JS, Mark O, Caoili E, Poruri A, Horowitz RI, Ashbaugh AD, Ramasamy R.	Diagnostics (Basel)	10.3390/diagnostics10060377	2020
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

#1971	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 5251
#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 )
#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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Borrelia hermsii (DSM 5251, DSM 4682, HS1)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Isolation, sampling and environmental information

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_001660005

Genome-based predictions

Predictions

Literature

Literature

References

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