Bartonella florencae (DSM 23735, CSUR B627, R4)

Name: Bartonella florencae (DSM 23735, CSUR B627, R4)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 23785

Type strain

Strain Designation R4

Culture col. no. DSM 23735 CSUR B627 R4

NCBI tax ID(s) 928210

Special Collections DSMZ

Links

Bartonella florencae R4 is a microaerophile, mesophilic animal pathogen that was isolated from spleen of a shrew found dead without evident signs of trauma.

microaerophile mesophilic animal pathogen genome sequence 16S sequence

Name and taxonomic classification

SI-ID 397957

DSM 23735

@ref 20215

Last LPSN update 2025-12-16 09:52:43

Domain Pseudomonadati

Phylum Pseudomonadota

Class Alphaproteobacteria

Order Hyphomicrobiales

Family Bartonellaceae

Genus Bartonella

Species Bartonella florencae

Full scientific name Bartonella florencae corrig. Mediannikov et al. 2014

Synonyms (1)

Bartonella florenciae

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	98.783

Colony morphology

@ref	Type of hemolysis	Incubation period
20455	gamma	2-3 days

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
20455	COLUMBIA BLOOD MEDIUM (DSMZ Medium 693)		Medium recipe at MediaDive	Name: COLUMBIA BLOOD MEDIUM (DSMZ Medium 693) Composition: Defibrinated sheep blood 50.0 g/l Columbia agar base

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
20455	positive	growth	37	mesophilic

Physiology and metabolism

Oxygen tolerance

20455

Oxygen tolerancemicroaerophile

Spore formation

@ref	Spore formation	Confidence
125438		94.43

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Other	#Decomposing animal
#Host	#Mammals	-
#Host Body-Site	#Organ	#Spleen

Isolation

@ref	Sample type	Host species	Geographic location	Country	Country ISO 3 Code	Continent
20455	spleen of a shrew (Crocidura russula) found dead without evident signs of trauma	Crocidura russula	Marseille suburb, calanque d’En-Vau	France	FRA	Europe

Taxonmaps

69479

Global distribution of 16S sequence HM622139 (>99% sequence identity) for Bartonella from Microbeatlas

Aquatic Samples	22
Soil Samples	29
Animal Samples	118
Plant Samples	3
Total Samples	172

Interaction and safety

Risk assessment

@ref	Pathogenicity animal	Biosafety level	Biosafety level comment
20455		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	ASM31252v1 assembly for Bartonella florencae R4	scaffold	GCA_000312525	928210.3	2551306357	928210	49.64

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20455	Bartonella florencae strain R4 from France 16S ribosomal RNA gene, partial sequence	HM622139	1411		928210

GC content

@ref	GC-content (mol%)	Method
20455	38.5	sequence analysis

Genome-based predictions

Predictions

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Bartonella florencae R4
NCBI: GCA_000312525.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.78	no
125438	anaerobic	anaerobicⓘ	no	88.49	yes
125438	aerobic	aerobicⓘ	no	81.24	no
125438	spore-forming	spore-formingⓘ	no	94.43	no
125438	thermophilic	thermophileⓘ	no	94.58	yes
125438	flagellated	motile2+ⓘ	no	88.75	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 )
#20455	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 23735
#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 )
#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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