Desulfofundulus kuznetsovii (DSM 6115, VKM B-1805, 17)

Name: Desulfofundulus kuznetsovii (DSM 6115, VKM B-1805, 17)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 11804

Type strain

Strain Designation 17

Culture col. no. DSM 6115 VKM B-1805 17

NCBI tax ID(s) 760568 58135

Special Collections DSMZ

Links

Desulfofundulus kuznetsovii 17 is an anaerobe, thermophilic prokaryote that was isolated from underground thermal mineral water.

anaerobe thermophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 48099

DSM 6115,VKM B-1805

@ref 20215

Last LPSN update 2025-12-16 09:49:41

Domain Bacillati

Phylum Bacillota

Class Clostridia

Order Eubacteriales

Family Peptococcaceae

Genus Desulfofundulus

Species Desulfofundulus kuznetsovii

Full scientific name Desulfofundulus kuznetsovii (Nazina et al. 1990) Watanabe et al. 2018

Synonyms (1)

Desulfotomaculum kuznetsovii

BacDive ID	Other strains from **Desulfofundulus kuznetsovii** (1)	Type strain
174769	D. kuznetsovii TPOSR, DSM 110707

Morphology

Multimedia

@ref:	66793
multimedia content:	EM_DSM_6115_1.jpg
multimedia.multimedia content:	EM_DSM_6115_1.jpg
caption:	electron microscopic image
intellectual property rights:	© HZI/Manfred Rohde
manual_annotation:	1

@ref:	66793
multimedia content:	EM_DSM_6115_2.jpg
multimedia.multimedia content:	EM_DSM_6115_2.jpg
caption:	electron microscopic image
intellectual property rights:	© HZI/Manfred Rohde
manual_annotation:	1

@ref:	66793
multimedia content:	EM_DSM_6115_3.jpg
multimedia.multimedia content:	EM_DSM_6115_3.jpg
caption:	electron microscopic image
intellectual property rights:	© HZI/Manfred Rohde
manual_annotation:	1

@ref:	66793
multimedia content:	EM_DSM_6115_4.jpg
multimedia.multimedia content:	EM_DSM_6115_4.jpg
caption:	electron microscopic image
intellectual property rights:	© HZI/Manfred Rohde
manual_annotation:	1

@ref:	66793
multimedia content:	EM_DSM_6115_5.jpg
multimedia.multimedia content:	EM_DSM_6115_5.jpg
caption:	electron microscopic image
intellectual property rights:	© HZI/Manfred Rohde
manual_annotation:	1

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
2377	DESULFOVIBRIO (POSTGATE) MEDIUM (DSMZ Medium 63)		Medium recipe at MediaDive	Name: DESULFOVIBRIO (POSTGATE) MEDIUM (DSMZ Medium 63) Composition: MgSO4 x 7 H2O 2.0 g/l Na-DL-lactate 2.0 g/l NH4Cl 1.0 g/l Yeast extract 1.0 g/l Na2SO4 1.0 g/l FeSO4 x 7 H2O 0.5 g/l K2HPO4 0.5 g/l CaCl2 x 2 H2O 0.1 g/l Na-thioglycolate 0.1 g/l Ascorbic acid 0.1 g/l Sodium resazurin 0.0005 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
2377	positive	growth	60	thermophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance
2377	anaerobe
125439	anaerobe

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2
#Environmental	#Aquatic
#Environmental	#Terrestrial

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
2377	underground thermal mineral water	Sukhumsk deposit	USSR	RUS	Asia

Taxonmaps

69479

Global distribution of 16S sequence Y11569 (>99% sequence identity) for Desulfofundulus kuznetsovii from Microbeatlas

Aquatic Samples	32
Soil Samples	7
Animal Samples	76
Plant Samples
Total Samples	115

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
2377	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	ASM21470v1 assembly for Desulfofundulus kuznetsovii DSM 6115	complete	GCA_000214705	760568.4	2515154209	760568	96.65

Genome browser: GCA_000214705

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20218	Desulfotomaculum kuznetsovii 16S rRNA gene, strain DSM 6115	AJ294427	1525		760568
20218	D.kuznetsovii 16S rRNA gene	Y11569	1577		760568

GC content

@ref	GC-content (mol%)	Method
2377	54.9	sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Desulfofundulus kuznetsovii DSM 6115
NCBI: GCA_000214705

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	59.20	no
125439	motility	BacteriaNetⓘ	yes	57.90	no
125439	gram_stain	BacteriaNetⓘ	negative	81.40	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	91.20	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Desulfofundulus kuznetsovii DSM 6115 DSM 6115
NCBI: GCA_000214705.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	61.24	no
125438	anaerobic	anaerobicⓘ	yes	89.21	no
125438	aerobic	aerobicⓘ	no	91.08	yes
125438	spore-forming	spore-formingⓘ	yes	80.60	no
125438	thermophilic	thermophileⓘ	yes	66.81	yes
125438	flagellated	motile2+ⓘ	yes	65.93	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Enzymology	Cobalt modulates methanol turnover of the alcohol dehydrogenase in Desulfofundulus kuznetsovii strain TPOSR.	Friedeheim L, Olavarria K, Stams AJM, Sousa DZ.	Appl Environ Microbiol	10.1128/aem.00215-25	2025
Enzymology	Alcohol dehydrogenase system acts as the sole pathway for methanol oxidation in Desulfofundulus kuznetsovii strain TPOSR.	Friedeheim L, Boeren S, Sanchez-Andrea I, Stams AJM, Sousa DZ.	Antonie Van Leeuwenhoek	10.1007/s10482-024-01937-1	2024
Metabolism	Physiological, genomic, and sulfur isotopic characterization of methanol metabolism by Desulfovibrio carbinolicus.	Sim MS, Skennerton CT, Orphan VJ.	PLoS One	10.1371/journal.pone.0245069	2021
Genetics	Effect of Sulfate on Carbon Monoxide Conversion by a Thermophilic Syngas-Fermenting Culture Dominated by a Desulfofundulus Species.	Alves JI, Visser M, Arantes AL, Nijsse B, Plugge CM, Alves MM, Stams AJM, Sousa DZ.	Front Microbiol	10.3389/fmicb.2020.588468	2020
Metabolism	Carbon monoxide conversion by thermophilic sulfate-reducing bacteria in pure culture and in co-culture with Carboxydothermus hydrogenoformans.	Parshina SN, Kijlstra S, Henstra AM, Sipma J, Plugge CM, Stams AJ	Appl Microbiol Biotechnol	10.1007/s00253-004-1878-x	2005
Genetics	Phenotypic and Genomic Characterization of a Sulfate-Reducing Bacterium Pseudodesulfovibrio methanolicus sp. nov. Isolated from a Petroleum Reservoir in Russia.	Bidzhieva SK, Tourova TP, Kadnikov VV, Samigullina SR, Sokolova DS, Poltaraus AB, Avtukh AN, Tereshina VM, Beletsky AV, Mardanov AV, Nazina TN.	Biology (Basel)	10.3390/biology13100800	2024

References

#2377	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 6115
#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 )
#20218	Verslyppe, B., De Smet, W., De Baets, B., De Vos, P., Dawyndt P.: StrainInfo introduces electronic passports for microorganisms.. Syst Appl Microbiol. 37: 42 - 50 2014 ( DOI 10.1016/j.syapm.2013.11.002 , PubMed 24321274 )
#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) .
#66793	Mukherjee et al.: GEBA: 1,003 reference genomes of bacterial and archaeal isolates expand coverage of the tree of life. 35: 676 - 683 2017 ( DOI 10.1038/nbt.3886 , PubMed 28604660 )
#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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Desulfofundulus kuznetsovii (DSM 6115, VKM B-1805, 17)

Name and taxonomic classification

Morphology

Multimedia

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_000214705

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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