Desulfovibrio sp. (DSM 7057, OCM 18, G11)

Name: Desulfovibrio sp. (DSM 7057, OCM 18, G11)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 4092

Type strain

Strain Designation G11

Culture col. no. DSM 7057 OCM 18 G11

NCBI tax ID(s) 885

Special Collections DSMZ

History <- D. R. Boone, OCM; OCM 18 <- M. P. Bryant, University of Illinois, Departments of Dairy Science and Microbiology, Urbana, USA; G11

Links

G11 is an anaerobe bacterium that was isolated from bovine rumen.

anaerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 48351

DSM 7057

@ref 20215

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

Domain Bacteria

Phylum Thermodesulfobacteriota

Class Desulfovibrionia

Order Desulfovibrionales

Family Desulfovibrionaceae

Genus Desulfovibrio

Full scientific name Desulfovibrio Kluyver and van Niel 1936 (Approved Lists 1980)

Synonyms (8)

"Frigididesulfovibrio"
"Alteridesulfovibrio"
Desulfomonas
"Aminidesulfovibrio"
"Psychrodesulfovibrio"
"Aminidesulfovibrio"
"Frigididesulfovibrio"
"Alteridesulfovibrio"

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	99.4

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
2963	METHANOBACTERIUM MEDIUM (DSMZ Medium 119)		Medium recipe at MediaDive	Name: METHANOBACTERIUM MEDIUM (DSMZ Medium 119; with strain-specific modifications) Composition: NaHCO3 3.98804 g/l Na2SO4 1.99402 g/l Na-formate 1.99402 g/l Na-acetate 0.997009 g/l L-Cysteine HCl x H2O 0.498504 g/l Na2S x 9 H2O 0.498504 g/l KH2PO4 0.498504 g/l MgSO4 x 7 H2O 0.398804 g/l NaCl 0.398804 g/l NH4Cl 0.398804 g/l Yeast extract 0.199402 g/l CaCl2 x 2 H2O 0.0498504 g/l HCl 0.00249252 g/l FeSO4 x 7 H2O 0.00199402 g/l FeCl2 x 4 H2O 0.00149551 g/l Sodium resazurin 0.000498504 g/l CoCl2 x 6 H2O 0.000189432 g/l MnCl2 x 4 H2O 9.97009e-05 g/l ZnCl2 6.97906e-05 g/l Na2MoO4 x 2 H2O 3.58923e-05 g/l NiCl2 x 6 H2O 2.39282e-05 g/l H3BO3 5.98205e-06 g/l CuCl2 x 2 H2O 1.99402e-06 g/l Isovaleric acid Valeric acid DL-2-Methylbutyric acid Isobutyric acid Sludge H2SO4 Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
2963	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
2963	anaerobe
125438	anaerobe	90.503

Spore formation

@ref	Spore formation	Confidence
125439		99.3

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Mammals	#Bovinae (Cow, Cattle)
#Host Body-Site	#Organ	#Rumen

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
2963	bovine rumen	Göttingen	Germany	DEU	Europe

Taxonmaps

69479

Global distribution of 16S sequence FJ815444 (>99% sequence identity) for Desulfovibrio from Microbeatlas

Aquatic Samples	1287
Soil Samples	94
Animal Samples	4291
Plant Samples	116
Total Samples	5788

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM233468v1 assembly for Desulfovibrio sp. G11	complete	GCA_002334685	631220.3	2700988708	631220	95.65
66792	IMG-taxon 2593339148 annotated assembly for Desulfovibrio desulfuricans DSM 7057	scaffold	GCA_900119095	876.9	2593339148	876	48.37

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20218	Desulfovibrio sp. G11 16S ribosomal RNA gene, partial sequence	FJ815444	1424		631220

GC content

@ref	GC-content (mol%)	Method
2963	57.1	sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Desulfovibrio sp. G11
IMG: 2700988708

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	99.30	no
125439	motility	BacteriaNetⓘ	yes	66.40	no
125439	gram_stain	BacteriaNetⓘ	negative	99.40	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	69.30	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Desulfovibrio sp. G11 G11
NCBI: GCA_002334685.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	83.28	no
125438	anaerobic	anaerobicⓘ	yes	90.50	yes
125438	aerobic	aerobicⓘ	no	93.45	yes
125438	spore-forming	spore-formingⓘ	no	84.63	no
125438	thermophilic	thermophileⓘ	no	86.13	yes
125438	flagellated	motile2+ⓘ	yes	71.15	no

Literature

References

#2963	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 7057
#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) .
#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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