Desulfurella acetivorans (DSM 5264, ATCC 51451, A63)

Name: Desulfurella acetivorans (DSM 5264, ATCC 51451, A63)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 4179

Type strain

Strain Designation A63

Culture col. no. DSM 5264 ATCC 51451 A63

NCBI tax ID(s) 694431 33002

Special Collections DSMZ

History DSMZ <- M. L. Miroshnichenko, Russian Academy of Sciences, Inst. of Microbiology, Moscow, Russia; A63 <- E. A. Bonch-Osmolovskaya;

Links

Desulfurella acetivorans A63 is an anaerobe bacterium that was isolated from thermophilic spring.

anaerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 42991

ATCC 51451,DSM 5264

@ref 20215

Last LPSN update 2026-05-29 08:25:52

Domain Bacteria

Phylum Pseudomonadota

Class Deltaproteobacteria

Order Desulfurellales

Family Desulfurellaceae

Genus Desulfurella

Species Desulfurella acetivorans

Full scientific name Desulfurella acetivorans Bonch-Osmolovskaya et al. 1993

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	95.57

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
1975	DESULFURELLA MEDIUM (DSMZ Medium 480)		Medium recipe at MediaDive	Name: DESULFURELLA MEDIUM (DSMZ Medium 480) Composition: Sulfur 9.98004 g/l Na-acetate 4.99002 g/l NaHCO3 2.49501 g/l Na2S x 9 H2O 0.499002 g/l CaCl2 x 2 H2O 0.329341 g/l MgCl2 x 6 H2O 0.329341 g/l KCl 0.329341 g/l KH2PO4 0.329341 g/l NH4Cl 0.329341 g/l Yeast extract 0.0998004 g/l HCl 0.00249501 g/l FeCl2 x 4 H2O 0.00149701 g/l Sodium resazurin 0.000499002 g/l CoCl2 x 6 H2O 0.000189621 g/l MnCl2 x 4 H2O 9.98004e-05 g/l Pyridoxine hydrochloride 9.98004e-05 g/l ZnCl2 6.98603e-05 g/l (DL)-alpha-Lipoic acid 4.99002e-05 g/l p-Aminobenzoic acid 4.99002e-05 g/l Calcium D-(+)-pantothenate 4.99002e-05 g/l Riboflavin 4.99002e-05 g/l Thiamine HCl 4.99002e-05 g/l Nicotinic acid 4.99002e-05 g/l Na2MoO4 x 2 H2O 3.59281e-05 g/l NiCl2 x 6 H2O 2.39521e-05 g/l Folic acid 1.99601e-05 g/l Biotin 1.99601e-05 g/l H3BO3 5.98802e-06 g/l CuCl2 x 2 H2O 1.99601e-06 g/l Vitamin B12 9.98004e-07 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
1975	positive	growth	55

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
1975	anaerobe
125439	facultative anaerobe	98.871

Spore formation

@ref	Spore formation	Confidence
125438		91.309
125439		99.912

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	cellulose degradation	100	5 of 5
66794	L-lactaldehyde degradation	100	3 of 3
66794	adipate degradation	100	2 of 2
66794	biotin biosynthesis	100	4 of 4
66794	C4 and CAM-carbon fixation	100	8 of 8
66794	ethanol fermentation	100	2 of 2
66794	butanoate fermentation	100	4 of 4
66794	coenzyme A metabolism	100	4 of 4
66794	sulfopterin metabolism	100	4 of 4
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	methylglyoxal degradation	100	5 of 5
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	ppGpp biosynthesis	100	4 of 4
66794	folate polyglutamylation	100	1 of 1
66794	suberin monomers biosynthesis	100	2 of 2
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	propionate fermentation	90	9 of 10
66794	valine metabolism	88.89	8 of 9
66794	lipid A biosynthesis	88.89	8 of 9
66794	chorismate metabolism	88.89	8 of 9
66794	CO2 fixation in Crenarchaeota	88.89	8 of 9
66794	gluconeogenesis	87.5	7 of 8
66794	palmitate biosynthesis	86.36	19 of 22
66794	ubiquinone biosynthesis	85.71	6 of 7
66794	propanol degradation	85.71	6 of 7
66794	reductive acetyl coenzyme A pathway	85.71	6 of 7
66794	NAD metabolism	83.33	15 of 18
66794	glutamate and glutamine metabolism	82.14	23 of 28
66794	peptidoglycan biosynthesis	80	12 of 15
66794	hydrogen production	80	4 of 5
66794	photosynthesis	78.57	11 of 14
66794	tetrahydrofolate metabolism	78.57	11 of 14
66794	molybdenum cofactor biosynthesis	77.78	7 of 9
66794	phenylalanine metabolism	76.92	10 of 13
66794	CMP-KDO biosynthesis	75	3 of 4
66794	glycogen biosynthesis	75	3 of 4
66794	acetate fermentation	75	3 of 4
66794	heme metabolism	71.43	10 of 14
66794	cardiolipin biosynthesis	71.43	5 of 7
66794	citric acid cycle	71.43	10 of 14
66794	glycolysis	70.59	12 of 17
66794	purine metabolism	70.21	66 of 94
66794	threonine metabolism	70	7 of 10
66794	leucine metabolism	69.23	9 of 13
66794	formaldehyde oxidation	66.67	2 of 3
66794	serine metabolism	66.67	6 of 9
66794	acetoin degradation	66.67	2 of 3
66794	1,4-dihydroxy-6-naphthoate biosynthesis	66.67	4 of 6
66794	cyanate degradation	66.67	2 of 3
66794	flavin biosynthesis	66.67	10 of 15
66794	glycolate and glyoxylate degradation	66.67	4 of 6
66794	aspartate and asparagine metabolism	66.67	6 of 9
66794	octane oxidation	66.67	2 of 3
66794	alanine metabolism	65.52	19 of 29
66794	proline metabolism	63.64	7 of 11
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	62.5	5 of 8
66794	isoleucine metabolism	62.5	5 of 8
66794	vitamin B1 metabolism	61.54	8 of 13
66794	non-pathway related	60.53	23 of 38
66794	starch degradation	60	6 of 10
66794	lipoate biosynthesis	60	3 of 5
66794	arginine metabolism	58.33	14 of 24
66794	tryptophan metabolism	57.89	22 of 38
66794	pyrimidine metabolism	57.78	26 of 45
66794	oxidative phosphorylation	56.04	51 of 91
66794	d-mannose degradation	55.56	5 of 9
66794	nitrate assimilation	55.56	5 of 9
66794	isoprenoid biosynthesis	53.85	14 of 26
66794	urea cycle	53.85	7 of 13
66794	aminopropanol phosphate biosynthesis	50	1 of 2
66794	glycine metabolism	50	5 of 10
66794	dTDPLrhamnose biosynthesis	50	4 of 8
66794	pantothenate biosynthesis	50	3 of 6
66794	selenocysteine biosynthesis	50	3 of 6
66794	degradation of aromatic, nitrogen containing compounds	50	6 of 12
66794	cis-vaccenate biosynthesis	50	1 of 2
66794	tyrosine metabolism	50	7 of 14
66794	denitrification	50	1 of 2
66794	toluene degradation	50	2 of 4
66794	phenylmercury acetate degradation	50	1 of 2
66794	lipid metabolism	48.39	15 of 31
66794	histidine metabolism	48.28	14 of 29
66794	methionine metabolism	46.15	12 of 26
66794	metabolism of disaccharids	45.45	5 of 11
66794	lysine metabolism	45.24	19 of 42
66794	cysteine metabolism	44.44	8 of 18
66794	degradation of hexoses	44.44	8 of 18
66794	vitamin B12 metabolism	41.18	14 of 34
66794	glycine betaine biosynthesis	40	2 of 5
66794	coenzyme M biosynthesis	40	4 of 10
66794	4-hydroxyphenylacetate degradation	40	4 of 10
66794	ketogluconate metabolism	37.5	3 of 8
66794	pentose phosphate pathway	36.36	4 of 11
66794	vitamin B6 metabolism	36.36	4 of 11
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	(5R)-carbapenem carboxylate biosynthesis	33.33	1 of 3
66794	IAA biosynthesis	33.33	1 of 3
66794	enterobactin biosynthesis	33.33	1 of 3
66794	polyamine pathway	30.43	7 of 23
66794	benzoyl-CoA degradation	28.57	2 of 7
66794	ascorbate metabolism	27.27	6 of 22
66794	degradation of pentoses	25	7 of 28
66794	degradation of sugar alcohols	25	4 of 16
66794	methanogenesis from CO2	25	3 of 12
66794	vitamin E metabolism	25	1 of 4
66794	lactate fermentation	25	1 of 4
66794	cyclohexanol degradation	25	1 of 4
66794	sulfate reduction	23.08	3 of 13
66794	phosphatidylethanolamine bioynthesis	23.08	3 of 13
66794	4-hydroxymandelate degradation	22.22	2 of 9
66794	arachidonic acid metabolism	22.22	4 of 18
66794	glutathione metabolism	21.43	3 of 14

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Aquatic	#Spring
#Condition	#Thermophilic (>45°C)	-

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
1975	thermophilic spring	Kamchatka peninsula, Uzon vulcano	Russia	RUS	Europe

Taxonmaps

69479

Global distribution of 16S sequence X72768 (>99% sequence identity) for Desulfurella from Microbeatlas

Aquatic Samples	187
Soil Samples	8
Animal Samples	72
Plant Samples	1
Total Samples	268

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
1975	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
124043	ASM51756v1 assembly for Desulfurella acetivorans A63	complete	GCA_000517565	694431.3	2512564091	694431	72.89

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
1975	D.acetivorans gene for 16S rRNA (DSM 5264)	X72768	1563		694431

GC content

1975

GC-content (mol%)31.4

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM51756v1 assembly for Desulfurella acetivorans A63
NCBI: GCA_000517565

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	98.87	no
125439	gram_stain	BacteriaNetⓘ	negative	84.18	no
125439	motility	BacteriaNetⓘ	no	61.90	no
125439	spore_formation	BacteriaNetⓘ	no	99.91	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Desulfurella acetivorans A63
PATRIC: 694431.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	95.57	no
125438	anaerobic	anaerobicⓘ	yes	82.88	no
125438	spore-forming	spore-formingⓘ	no	91.31	no
125438	aerobic	aerobicⓘ	no	85.49	no
125438	thermophilic	thermophileⓘ	yes	68.84	yes
125438	flagellated	motile2+ⓘ	yes	63.13	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Propionate metabolism in Desulfurella acetivorans.	Pettinato E, Steiner TM, Cassens EA, Geisberger T, Seitz C, Konig S, Eisenreich W, Berg IA.	Front Microbiol	10.3389/fmicb.2025.1545849	2025
	Succinyl-CoA:acetate CoA-transferase functioning in the oxidative tricarboxylic acid cycle in Desulfurella acetivorans.	Pettinato E, Bohnert P, Berg IA.	Front Microbiol	10.3389/fmicb.2022.1080142	2022
	Phylogenomics of the Phylum Proteobacteria: Resolving the Complex Relationships.	Sharma V, Vashishtha A, Jos ALM, Khosla A, Basu N, Yadav R, Bhatt A, Gulani A, Singh P, Lakhera S, Verma M.	Curr Microbiol	10.1007/s00284-022-02910-9	2022
Metabolism	Reversibility of citrate synthase allows autotrophic growth of a thermophilic bacterium.	Mall A, Sobotta J, Huber C, Tschirner C, Kowarschik S, Bacnik K, Mergelsberg M, Boll M, Hugler M, Eisenreich W, Berg IA.	Science	10.1126/science.aao2410	2018
	Chemoorganoautotrophic lifestyle of the anaerobic enrichment culture N47 growing on naphthalene	Heker I, Seitz C, Voskuhl L, Kong Y, Erdmann I, Gotz F, Hassoun M, Huber C, Eisenreich W, Meckenstock R.	Commun Biol		2025
Transcriptome	Reversed oxidative TCA (roTCA) for carbon fixation by an Acidimicrobiia strain from a saline lake.	Gao L, Liu L, Lv AP, Fu L, Lian ZH, Nunoura T, Hedlund BP, Xu QY, Wu D, Yang J, Ali M, Li MM, Liu YH, Antunes A, Jiang HC, Cheng L, Jiao JY, Li WJ, Fang BZ.	ISME J	10.1093/ismejo/wrae147	2024
	Metabolic versatility and nitrate reduction pathways of a new thermophilic bacterium of the Deferrivibrionaceae: Deferrivibrio metallireducens sp. nov isolated from hot sediments of Vulcano Island, Italy.	Gales G, Hennart M, Hannoun M, Postec A, Erauso G.	PLoS One	10.1371/journal.pone.0315093	2025
Metabolism	Stable carbon isotope fractionation by acetotrophic sulfur-reducing bacteria.	Goevert D, Conrad R.	FEMS Microbiol Ecol	10.1111/j.1574-6941.2009.00811.x	2010
	Kinetics of the ancestral carbon metabolism pathways in deep-branching bacteria and archaea.	Sumi T, Harada K.	Commun Chem	10.1038/s42004-021-00585-0	2021
	Tracking the Reversed Oxidative Tricarboxylic Acid Cycle in Bacteria.	Steffens L, Pettinato E, Steiner TM, Eisenreich W, Berg IA.	Bio Protoc	10.21769/bioprotoc.4364	2022
Metabolism	Genome-Resolved Metagenomics and Detailed Geochemical Speciation Analyses Yield New Insights into Microbial Mercury Cycling in Geothermal Springs.	Gionfriddo CM, Stott MB, Power JF, Ogorek JM, Krabbenhoft DP, Wick R, Holt K, Chen LX, Thomas BC, Banfield JF, Moreau JW.	Appl Environ Microbiol	10.1128/aem.00176-20	2020
Metabolism	Rethinking the Citric Acid Cycle: Connecting Pyruvate Carboxylase and Citrate Synthase to the Flow of Energy and Material.	Roosterman D, Cottrell GS.	Int J Mol Sci	10.3390/ijms22020604	2021
Proteome	Genome-centric insight into metabolically active microbial population in shallow-sea hydrothermal vents.	Chen X, Tang K, Zhang M, Liu S, Chen M, Zhan P, Fan W, Chen CA, Zhang Y.	Microbiome	10.1186/s40168-022-01351-7	2022
Metabolism	Metabolic versatility of Caldarchaeales from geothermal features of Hawai'i and Chile as revealed by five metagenome-assembled genomes.	Balbay MG, Shlafstein MD, Cockell C, Cady SL, Prescott RD, Lim DSS, Chain PSG, Donachie SP, Decho AW, Saw JH.	Front Microbiol	10.3389/fmicb.2023.1216591	2023
	The hidden chemolithoautotrophic metabolism of Geobacter sulfurreducens uncovered by adaptation to formate.	Zhang T, Shi XC, Ding R, Xu K, Tremblay PL.	ISME J	10.1038/s41396-020-0673-8	2020
Phylogeny	Parapatric speciation of Meiothermus in serpentinite-hosted aquifers in Oman.	Munro-Ehrlich M, Nothaft DB, Fones EM, Matter JM, Templeton AS, Boyd ES.	Front Microbiol	10.3389/fmicb.2023.1138656	2023
Metabolism	Comparative proteomics of Geobacter sulfurreducens PCA^T in response to acetate, formate and/or hydrogen as electron donor.	Mollaei M, Timmers PHA, Suarez-Diez M, Boeren S, van Gelder AH, Stams AJM, Plugge CM.	Environ Microbiol	10.1111/1462-2920.15311	2021
Metabolism	Extremophilic nitrite-oxidizing Chloroflexi from Yellowstone hot springs.	Spieck E, Spohn M, Wendt K, Bock E, Shively J, Frank J, Indenbirken D, Alawi M, Lucker S, Hupeden J.	ISME J	10.1038/s41396-019-0530-9	2020
Genetics	Whole Proteome Clustering of 2,307 Proteobacterial Genomes Reveals Conserved Proteins and Significant Annotation Issues.	Lockwood S, Brayton KA, Daily JA, Broschat SL.	Front Microbiol	10.3389/fmicb.2019.00383	2019
Metabolism	Insight into the sulfur metabolism of Desulfurella amilsii by differential proteomics.	Florentino AP, Pereira IAC, Boeren S, van den Born M, Stams AJM, Sanchez-Andrea I.	Environ Microbiol	10.1111/1462-2920.14442	2019
	Complete Genome Sequence and Comparative Genomics of a Novel Myxobacterium Myxococcus hansupus.	Sharma G, Narwani T, Subramanian S.	PLoS One	10.1371/journal.pone.0148593	2016
Genetics	Comparative Genomic Analysis of the Class Epsilonproteobacteria and Proposed Reclassification to Epsilonbacteraeota (phyl. nov.).	Waite DW, Vanwonterghem I, Rinke C, Parks DH, Zhang Y, Takai K, Sievert SM, Simon J, Campbell BJ, Hanson TE, Woyke T, Klotz MG, Hugenholtz P.	Front Microbiol	10.3389/fmicb.2017.00682	2017
Metabolism	In Vivo Thermodynamic Analysis of Glycolysis in Clostridium thermocellum and Thermoanaerobacterium saccharolyticum Using ¹³C and ²H Tracers.	Jacobson TB, Korosh TK, Stevenson DM, Foster C, Maranas C, Olson DG, Lynd LR, Amador-Noguez D.	mSystems	10.1128/msystems.00736-19	2020
Enzymology	Macrorestriction analysis of Desulfurella acetivorans and Desulfurella multipotens.	Pradella S, Hippe H, Stackebrandt E	FEMS Microbiol Lett	10.1111/j.1574-6968.1998.tb12852.x	1998
Phylogeny	Desulfurella kamchatkensis sp. nov. and desulfurella propionica sp. nov., new sulfur-respiring thermophilic bacteria from Kamchatka thermal environments.	Miroshnichenko ML, Rainey FA, Hippe H, Chernyh NA, Kostrikina NA, Bonch-Osmolovskaya EA.	Int J Syst Bacteriol	10.1099/00207713-48-2-475	1998
Phylogeny	The ultramicrobacterium "Elusimicrobium minutum" gen. nov., sp. nov., the first cultivated representative of the termite group 1 phylum.	Geissinger O, Herlemann DP, Morschel E, Maier UG, Brune A.	Appl Environ Microbiol	10.1128/aem.02697-08	2009

References

#1975	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 5264
#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 )
#66794	Antje Chang, Lisa Jeske, Sandra Ulbrich, Julia Hofmann, Julia Koblitz, Ida Schomburg, Meina Neumann-Schaal, Dieter Jahn, Dietmar Schomburg: BRENDA, the ELIXIR core data resource in 2021: new developments and updates. Nucleic Acids Res. 49: D498 - D508 2020 ( DOI 10.1093/nar/gkaa1025 , PubMed 33211880 )
#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 .
#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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Desulfurella acetivorans (DSM 5264, ATCC 51451, A63)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Pathway annotation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_000517565

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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