Francisella persica (DSM 101678, ATCC VR-331, FSC 845)

Name: Francisella persica (DSM 101678, ATCC VR-331, FSC 845)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 139941

Type strain

Culture col. no. DSM 101678 ATCC VR-331 FSC 845

NCBI tax ID(s) 1086726 954

Special Collections DSMZ

History <- E. Weiss, Naval Medical Research Institute Bethesda, USA; FSC845; original depositor material obtained from ATCC

Links

Francisella persica DSM 101678 is a mesophilic prokaryote that was isolated from Malpighian tubules of ticks arboreus) removed from buff-backed heron Bubulcus ibis.

mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 396753

DSM 101678

@ref 20215

Last LPSN update 2026-02-09 11:33:28

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Beggiatoales

Family Francisellaceae

Genus Francisella

Species Francisella persica

Full scientific name Francisella persica (Suitor and Weiss 1961) Larson et al. 2016

Synonyms (1)

Wolbachia persica

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	99.7
125438	negative	96

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
42549	FRANCISELLA PERSICA MEDIUM (DSMZ Medium 1600)		Medium recipe at MediaDive	Name: FRANCISELLA PERSICA MEDIUM (DSMZ Medium 1600) Composition: D-Glucose 6.25419 g/l L-Glutamic acid 1.39665 g/l L-Proline 0.837989 g/l alpha-ketoglutaric acid 0.835196 g/l DL-aspartic acid 0.835196 g/l L-Glutamine 0.29228 g/l Glutathione 0.27933 g/l Ascorbic acid 0.27933 g/l Para-aminobenzoic acid 0.027933 g/l FeSO4 x 7 H2O 0.0139665 g/l Vitamin B12 0.0139665 g/l D-Biotin 0.0027933 g/l ZnSO4 x 7 H2O 0.000558659 g/l MnSO4 x 1 H2O 0.000446927 g/l Na2SeO3 5.58659e-05 g/l Na2 MoO4 x 2 H2O 5.58659e-05 g/l CoCl2 x 6 H2O 5.58659e-05 g/l CuSO4 x 5 H2O 5.58659e-05 g/l Demineralized water Tryptose-phosphate FBS cholesterol lipid concentrate L-15 powder

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
42549	positive	growth	34	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	94.4

Spore formation

@ref	Spore formation	Confidence
125439		99
125438		92.935

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Arthropoda	#Tick
#Host	#Birds	-
#Host Body-Site	#Gastrointestinal tract	-

Isolation

@ref	Sample type	Host species	Geographic location	Country	Country ISO 3 Code	Continent
42549	Malpighian tubules of ticks (Argas (Persicargas) arboreus) removed from buff-backed heron Bubulcus ibis	Argas (Persicargas) arboreus;Bubulcus ibis	Nile Barrage Park near Cairo	Egypt	EGY	Africa

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
42549	1	Risk group (German classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM127536v1 assembly for Francisella persica ATCC VR-331 FSC845	complete	GCA_001275365	1086726.6	2772190782	1086726	91.9
124043	ASM165395v1 assembly for Francisella persica ATCC VR-331	complete	GCA_001653955	1086726.7	2806310685	1086726	90.96

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
124043	[Wolbachia] persica strain ATCC VR-331 16S ribosomal RNA gene, partial sequence.	M21292	1474		954
124043	Wolbachia persica strain ATCC VR-331 16S ribosomal RNA gene, partial sequence.	KC294230	1522		954

GC content

@ref	GC-content (mol%)	Method
42549	31.39	sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Francisella persica ATCC VR-331
PATRIC: 1086726.6

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	94.40	no
125439	gram_stain	BacteriaNetⓘ	negative	99.70	no
125439	motility	BacteriaNetⓘ	yes	51.70	no
125439	spore_formation	BacteriaNetⓘ	no	99.00	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Francisella persica ATCC VR-331 FSC845
NCBI: GCA_001275365.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	96.00	no
125438	anaerobic	anaerobicⓘ	no	85.32	no
125438	aerobic	aerobicⓘ	no	56.62	no
125438	spore-forming	spore-formingⓘ	no	92.94	no
125438	thermophilic	thermophileⓘ	no	91.14	no
125438	flagellated	motile2+ⓘ	no	88.43	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Reorganized Genomic Taxonomy of Francisellaceae Enables Design of Robust Environmental PCR Assays for Detection of Francisella tularensis.	Ohrman C, Sahl JW, Sjodin A, Uneklint I, Ballard R, Karlsson L, McDonough RF, Sundell D, Soria K, Backman S, Chase K, Brindefalk B, Sozhamannan S, Vallesi A, Hagglund E, Ramirez-Paredes JG, Thelaus J, Colquhoun D, Myrtennas K, Birdsell D, Johansson A, Wagner DM, Forsman M.	Microorganisms	10.3390/microorganisms9010146	2021
	Differentiation of Francisella tularensis Subspecies and Subtypes.	Larson MA, Sayood K, Bartling AM, Meyer JR, Starr C, Baldwin J, Dempsey MP.	J Clin Microbiol	10.1128/jcm.01495-19	2020
	Genomic characterization of Francisella tularensis and other diverse Francisella species from complex samples.	Wagner DM, Birdsell DN, McDonough RF, Nottingham R, Kocos K, Celona K, Ozsurekci Y, Ohrman C, Karlsson L, Myrtennas K, Sjodin A, Johansson A, Keim PS, Forsman M, Sahl JW.	PLoS One	10.1371/journal.pone.0273273	2022
Phylogeny	Reclassification of Wolbachia persica as Francisella persica comb. nov. and emended description of the family Francisellaceae.	Larson MA, Nalbantoglu U, Sayood K, Zentz EB, Cer RZ, Iwen PC, Francesconi SC, Bishop-Lilly KA, Mokashi VP, Sjostedt A, Hinrichs SH	Int J Syst Evol Microbiol	10.1099/ijsem.0.000855	2016

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 )
#42549	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 101678
#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) .
#124043	Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy .
#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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Francisella persica (DSM 101678, ATCC VR-331, FSC 845)

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

Isolation source categories

Isolation

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_001275365

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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