Desulfomicrobium apsheronum (DSM 5918, VKM B-1804, 1105)

Name: Desulfomicrobium apsheronum (DSM 5918, VKM B-1804, 1105)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 4053

Type strain

Strain Designation 1105

Culture col. no. DSM 5918 VKM B-1804 1105

NCBI tax ID(s) 52560

Special Collections DSMZ

History <- M. B. Vainshtein, VKM; VKM B-1804 <- E. P. Rozanova, Institute of Microbiology, Russ. Academy of Sciences, Moscow, Russia; 1105

Links

Desulfomicrobium apsheronum 1105 is an anaerobe bacterium that was isolated from water, oil-bearing deposits.

anaerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 48028

DSM 5918,VKM B-1804

@ref 20215

Last LPSN update 2026-02-09 11:18:38

Domain Bacteria

Phylum Thermodesulfobacteriota

Class Desulfovibrionia

Order Desulfovibrionales

Family Desulfomicrobiaceae

Genus Desulfomicrobium

Species Desulfomicrobium apsheronum

Full scientific name Desulfomicrobium apsheronum Rozanova et al. 1994

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	99.9
125438	negative	93.297

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
2365	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)
2365	positive	growth	30

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
2365	anaerobe
125439	anaerobe	97.9

Spore formation

@ref	Spore formation	Confidence
125439		99.7

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Contamination	#Oil (Fuel)
#Environmental	#Aquatic	-

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
2365	water, oil-bearing deposits	Azerbaijan, Apsheron peninsula	Azerbaijan	AZE	Asia

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
2365	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	IMG-taxon 2622736590 annotated assembly for Desulfomicrobium apsheronum DSM 5918	scaffold	GCA_900114115	52560.3	2622736590	52560	63.27

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
2365	Desulfomicrobium apsheronum 16S ribosomal RNA gene, partial sequence	U64865	1473		52560

GC content

2365

GC-content (mol%)52.0

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Desulfomicrobium apsheronum DSM 5918
NCBI: GCA_900114115

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	99.70	no
125439	motility	BacteriaNetⓘ	yes	79.00	no
125439	gram_stain	BacteriaNetⓘ	negative	99.90	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	97.90	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Desulfomicrobium apsheronum DSM 5918
NCBI: GCA_900114115.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	93.30	no
125438	anaerobic	anaerobicⓘ	yes	87.07	yes
125438	aerobic	aerobicⓘ	no	89.08	yes
125438	spore-forming	spore-formingⓘ	no	86.49	no
125438	thermophilic	thermophileⓘ	no	89.19	yes
125438	flagellated	motile2+ⓘ	yes	80.74	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Application of denaturing high-performance liquid chromatography for monitoring sulfate-reducing bacteria in oil fields.	Priha O, Nyyssonen M, Bomberg M, Laitila A, Simell J, Kapanen A, Juvonen R.	Appl Environ Microbiol	10.1128/aem.01015-13	2013
Metabolism	Sulfidogenic fluidized-bed treatment of metal-containing wastewater at 8 and 65 degrees C temperatures is limited by acetate oxidation.	Sahinkaya E, Ozkaya B, Kaksonen AH, Puhakka JA.	Water Res	10.1016/j.watres.2007.02.025	2007
Enzymology	Detection of abundant sulphate-reducing bacteria in marine oxic sediment layers by a combined cultivation and molecular approach.	Wieringa EB, Overmann J, Cypionka H.	Environ Microbiol	10.1046/j.1462-2920.2000.00123.x	2000
	Bacterial and archeal community composition in hot springs from Indo-Burma region, North-east India.	Panda AK, Bisht SS, De Mandal S, Kumar NS.	AMB Express	10.1186/s13568-016-0284-y	2016
Metabolism	Citric acid wastewater as electron donor for biological sulfate reduction.	Stams AJ, Huisman J, Garcia Encina PA, Muyzer G.	Appl Microbiol Biotechnol	10.1007/s00253-009-1995-7	2009
Metabolism	Competition and coexistence of sulfate-reducing bacteria, acetogens and methanogens in a lab-scale anaerobic bioreactor as affected by changing substrate to sulfate ratio.	Dar SA, Kleerebezem R, Stams AJ, Kuenen JG, Muyzer G.	Appl Microbiol Biotechnol	10.1007/s00253-008-1391-8	2008
Enzymology	Characterization of two subsurface H2-utilizing bacteria, Desulfomicrobium hypogeium sp. nov. and Acetobacterium psammolithicum sp. nov., and their ecological roles.	Krumholz LR, Harris SH, Tay ST, Suflita JM.	Appl Environ Microbiol	10.1128/aem.65.6.2300-2306.1999	1999

References

#2365	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 5918
#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) .
#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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Desulfomicrobium apsheronum (DSM 5918, VKM B-1804, 1105)

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_900114115

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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