Sulfurospirillum arcachonense (DSM 9755, F1F6)

Name: Sulfurospirillum arcachonense (DSM 9755, F1F6)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 2224

Type strain

Strain Designation F1F6

Culture col. no. DSM 9755 F1F6

NCBI tax ID(s) 1123326 57666

Special Collections DSMZ

History DSMZ <- K. Finster, University of Aaarhus, Institute of Biological Sciences, Aarhus, Denmark; F1F6

Links

Sulfurospirillum arcachonense F1F6 is an anaerobe bacterium that was isolated from marine surface sediment.

anaerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 48693

DSM 9755

@ref 20215

Last LPSN update 2026-05-29 08:25:25

Domain Bacteria

Phylum Pseudomonadota

Class Epsilonproteobacteria

Order Campylobacterales

Family Campylobacteraceae

Genus Sulfurospirillum

Species Sulfurospirillum arcachonense

Full scientific name Sulfurospirillum arcachonense Finster et al. 1997

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	98.905

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
3717	DESULFUROMUSA MEDIUM (DSMZ Medium 195a)		Medium recipe at MediaDive	Name: DESULFUROMUSA MEDIUM (DSMZ Medium 195a) Composition: NaCl 20.9372 g/l Na2SO4 2.99103 g/l MgCl2 x 6 H2O 2.99103 g/l Na2-fumarate 2.49252 g/l Na2CO3 1.49551 g/l KCl 0.498504 g/l Na2S x 9 H2O 0.398804 g/l NH4Cl 0.299103 g/l KH2PO4 0.199402 g/l CaCl2 x 2 H2O 0.149551 g/l HCl 0.00249252 g/l FeCl2 x 4 H2O 0.00149551 g/l NaOH 0.000498504 g/l Sodium resazurin 0.000498504 g/l CoCl2 x 6 H2O 0.000189432 g/l Pyridoxine hydrochloride 9.97009e-05 g/l MnCl2 x 4 H2O 9.97009e-05 g/l ZnCl2 6.97906e-05 g/l p-Aminobenzoic acid 4.98504e-05 g/l (DL)-alpha-Lipoic acid 4.98504e-05 g/l Thiamine HCl 4.98504e-05 g/l Calcium D-(+)-pantothenate 4.98504e-05 g/l Riboflavin 4.98504e-05 g/l Nicotinic acid 4.98504e-05 g/l Na2MoO4 x 2 H2O 3.58923e-05 g/l NiCl2 x 6 H2O 2.39282e-05 g/l Biotin 1.99402e-05 g/l Folic acid 1.99402e-05 g/l H3BO3 5.98205e-06 g/l Na2WO4 x 2 H2O 3.98804e-06 g/l Na2SeO3 x 5 H2O 2.99103e-06 g/l CuCl2 x 2 H2O 1.99402e-06 g/l Vitamin B12 9.97009e-07 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
3717	positive	growth	25

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
3717	anaerobe
125439	obligate aerobe	90.665

Spore formation

@ref	Spore formation	Confidence
125439		98.025
125438		90.892

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Aquatic	#Marine
#Environmental	#Aquatic	#Sediment

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
3717	marine surface sediment	Atlantic coast, Arcachon Bay	France	FRA	Europe

Taxonmaps

69479

Global distribution of 16S sequence Y11561 (>99% sequence identity) for Sulfurospirillum arcachonense from Microbeatlas

Aquatic Samples	1258
Soil Samples	48
Animal Samples	92
Plant Samples	16
Total Samples	1414

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
3717	1	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	ASM59772v1 assembly for Sulfurospirillum arcachonense DSM 9755	scaffold	GCA_000597725	1123326.4	2524614541	1123326	68.93

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
3717	S.arcachonense sp. nov. 16S rRNA gene	Y11561	1433		57666

GC content

@ref	GC-content (mol%)	Method
3717	32	high performance liquid chromatography (HPLC)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM59772v1 assembly for Sulfurospirillum arcachonense DSM 9755
BV-BRC: 1123326.4

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	90.67	no
125439	gram_stain	BacteriaNetⓘ	negative	88.59	no
125439	motility	BacteriaNetⓘ	no	67.32	no
125439	spore_formation	BacteriaNetⓘ	no	98.03	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Sulfurospirillum arcachonense DSM 9755 DSM 9755
NCBI: GCA_000597725.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.91	no
125438	anaerobic	anaerobicⓘ	yes	57.25	yes
125438	aerobic	aerobicⓘ	no	71.06	yes
125438	spore-forming	spore-formingⓘ	no	90.89	no
125438	thermophilic	thermophileⓘ	no	91.56	yes
125438	flagellated	motile2+ⓘ	yes	75.41	no

Literature

References

#3717	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 9755
#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) .
#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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