Solidesulfovibrio alcoholivorans (DSM 5433, ATCC 49738, VKM B-1761)

Name: Solidesulfovibrio alcoholivorans (DSM 5433, ATCC 49738, VKM B-1761)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 4117

Type strain

Strain Designation SPSN

Culture col. no. DSM 5433 ATCC 49738 VKM B-1761 SPSN

NCBI tax ID(s) 1121438 81406

Special Collections DSMZ

Links

Solidesulfovibrio alcoholivorans SPSN is an anaerobe, mesophilic prokaryote that was isolated from alcohol industry waste water.

anaerobe mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 42652

ATCC 49738,DSM 5433,VKM B-1761

@ref 20215

Last LPSN update 2025-12-16 09:47:44

Domain Pseudomonadati

Phylum Thermodesulfobacteriota

Class Desulfovibrionia

Order Desulfovibrionales

Family Desulfovibrionaceae

Genus Solidesulfovibrio

Species Solidesulfovibrio alcoholivorans

Full scientific name Solidesulfovibrio alcoholivorans (Qatibi et al. 1995) Waite et al. 2020

Synonyms (2)

Desulfovibrio alcoholovorans
Desulfovibrio alcoholivorans

BacDive ID	Other strains from **Solidesulfovibrio alcoholivorans** (1)	Type strain
4118	S. alcoholivorans DFG, DSM 6133

Morphology

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
2165	DESULFOBULBUS SP. MEDIUM (FRESHWATER) (DSMZ Medium 194)		Medium recipe at MediaDive	Name: DESULFOBULBUS SP. MEDIUM (FRESHWATER) (DSMZ Medium 194; with strain-specific modifications) Composition: Na2SO4 2.99103 g/l None 1.49551 g/l Na2CO3 1.49551 g/l NaCl 0.997009 g/l KCl 0.498504 g/l MgCl2 x 6 H2O 0.398804 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 Sodium resazurin 0.000498504 g/l NaOH 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 Calcium D-(+)-pantothenate 4.98504e-05 g/l Nicotinic acid 4.98504e-05 g/l Thiamine HCl 4.98504e-05 g/l Riboflavin 4.98504e-05 g/l Na2MoO4 x 2 H2O 3.58923e-05 g/l NiCl2 x 6 H2O 2.39282e-05 g/l Folic acid 1.99402e-05 g/l Biotin 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)	Range
2165	positive	growth	35	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance
2165	anaerobe
125439	anaerobe

Spore formation

@ref	Spore formation	Confidence
125439		91.1

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Waste	#Industrial wastewater

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
2165	alcohol industry waste water	France	FRA	Europe

Taxonmaps

69479

Global distribution of 16S sequence AF053751 (>99% sequence identity) for Desulfovibrio alcoholivorans subclade from Microbeatlas

Aquatic Samples	1852
Soil Samples	235
Animal Samples	125
Plant Samples	296
Total Samples	2508

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
2165	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	ASM70266v1 assembly for Solidesulfovibrio alcoholivorans DSM 5433	contig	GCA_000702665	1121438.3	2561511137	1121438	59.59

Genome browser: GCA_000702665

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
2165	Desulfovibrio alcoholovorans 16S ribosomal RNA gene, partial sequence	AF053751	1524		81406

GC content

2165

GC-content (mol%)64.5

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Solidesulfovibrio alcoholivorans DSM 5433
NCBI: GCA_000702665

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	98.50	no
125439	gram_stain	BacteriaNetⓘ	negative	89.00	no
125439	motility	BacteriaNetⓘ	yes	64.70	no
125439	spore_formation	BacteriaNetⓘ	no	91.10	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Desulfovibrio alcoholivorans DSM 5433
PATRIC: 1121438.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	86.33	no
125438	anaerobic	anaerobicⓘ	yes	76.94	no
125438	spore-forming	spore-formingⓘ	no	79.34	no
125438	aerobic	aerobicⓘ	no	82.15	yes
125438	thermophilic	thermophileⓘ	no	80.79	no
125438	flagellated	motile2+ⓘ	yes	69.47	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	Bioinformatics Investigations of Universal Stress Proteins from Mercury-Methylating Desulfovibrionaceae.	Isokpehi RD, McInnis DS, Destefano AM, Johnson GS, Walker AD, Hall YA, Mapp BW, Johnson MO, Simmons SS.	Microorganisms	10.3390/microorganisms9081780	2021
Metabolism	Anaerobic Degradation of the Plant Sugar Sulfoquinovose Concomitant With H₂S Production: Escherichia coli K-12 and Desulfovibrio sp. Strain DF1 as Co-culture Model.	Burrichter A, Denger K, Franchini P, Huhn T, Muller N, Spiteller D, Schleheck D.	Front Microbiol	10.3389/fmicb.2018.02792	2018
	An immunological strategy To monitor In situ the phosphate starvation state in thiobacillus ferrooxidans	Varela P, Levican G, Rivera F, Jerez CA.	Appl Environ Microbiol	10.1128/aem.64.12.4990-4993.1998	1998
Metabolism	Metabolic versatility of anaerobic sludge towards platform chemical production from waste glycerol.	Magalhaes CP, Alves JI, Duber A, Oleskowicz-Popiel P, Stams AJM, Cavaleiro AJ.	Appl Microbiol Biotechnol	10.1007/s00253-024-13248-6	2024

References

#2165	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 5433
#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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Solidesulfovibrio alcoholivorans (DSM 5433, ATCC 49738, VKM B-1761)

Name and taxonomic classification

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_000702665

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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