Desulfotignum balticum (DSM 7044, SAX)

Name: Desulfotignum balticum (DSM 7044, SAX)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 3950

Type strain

Strain Designation SAX

Culture col. no. DSM 7044 SAX

NCBI tax ID(s) 1304886 115781

Special Collections DSMZ

History <- K.-H. Blotevogel, Carl-von-Ossietzky University Oldenburg, Fachbereich Biologie, Oldenburg, Germany; SAX

Links

Desulfotignum balticum SAX is an anaerobe bacterium that was isolated from marine mud.

anaerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 44256

ATCC BAA-19,DSM 7044

@ref 20215

Last LPSN update 2026-02-09 11:18:36

Domain Bacteria

Phylum Thermodesulfobacteriota

Class Desulfobacteria

Order Desulfobacterales

Family Desulfobacteraceae

Genus Desulfotignum

Species Desulfotignum balticum

Full scientific name Desulfotignum balticum Kuever et al. 2001

BacDive ID	Other strains from **Desulfotignum balticum** (1)	Type strain
3951	D. balticum S 2651, DSM 12888

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	91.383
125439	negative	97.7

Colony morphology

2958

Incubation period3-7 days

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
2958	DESULFOBACTERIUM MEDIUM (DSMZ Medium 383)		Medium recipe at MediaDive	Name: DESULFOBACTERIUM MEDIUM (DSMZ Medium 383; with strain-specific modifications) Composition: NaCl 20.9372 g/l MgCl2 x 6 H2O 2.99103 g/l Na2SO4 2.99103 g/l Na2CO3 0.997009 g/l KCl 0.498504 g/l Na2S x 9 H2O 0.398804 g/l Na-benzoate 0.398804 g/l NH4Cl 0.299103 g/l KH2PO4 0.199402 g/l CaCl2 x 2 H2O 0.149551 g/l Yeast extract 0.0997009 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 Riboflavin 4.98504e-05 g/l Calcium D-(+)-pantothenate 4.98504e-05 g/l p-Aminobenzoic acid 4.98504e-05 g/l (DL)-alpha-Lipoic acid 4.98504e-05 g/l Nicotinic acid 4.98504e-05 g/l Thiamine HCl 4.98504e-05 g/l Na2MoO4 x 2 H2O 3.58923e-05 g/l NiCl2 x 6 H2O 2.39282e-05 g/l Biotin 1.99402e-05 g/l Folic acid 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)
2958	positive	growth	30

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
2958	anaerobe
125439	anaerobe	98.7

Spore formation

@ref	Spore formation	Confidence
125439		93.4

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Aquatic	#Marine
#Environmental	#Terrestrial	#Mud (Sludge)
#Environmental	#Aquatic	#Sediment

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
2958	marine mud	Denmark	DNK	Europe

Taxonmaps

69479

Global distribution of 16S sequence AF418176 (>99% sequence identity) for Desulfotignum from Microbeatlas

Aquatic Samples	1207
Soil Samples	165
Animal Samples	93
Plant Samples	17
Total Samples	1482

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
2958	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	ASM42128v1 assembly for Desulfotignum balticum DSM 7044	contig	GCA_000421285	1304886.3	2526164528	1304886	75.24

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20218	Desulfotignum balticum strain Sax 16S ribosomal RNA gene, partial sequence	AF233370	1462		115781
2958	Desulfotignum balticum DSM 7044 16S ribosomal RNA gene, partial sequence	AF418176	1505		115781

GC content

2958

GC-content (mol%)62.4

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Desulfotignum balticum DSM 7044
NCBI: GCA_000421285

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	93.40	no
125439	motility	BacteriaNetⓘ	no	63.60	no
125439	gram_stain	BacteriaNetⓘ	negative	97.70	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	98.70	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Desulfotignum balticum DSM 7044
PATRIC: 1304886.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	91.38	no
125438	anaerobic	anaerobicⓘ	yes	71.33	no
125438	spore-forming	spore-formingⓘ	no	84.30	no
125438	aerobic	aerobicⓘ	no	75.60	yes
125438	thermophilic	thermophileⓘ	no	90.31	yes
125438	flagellated	motile2+ⓘ	yes	53.71	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Enzymology	Diverse non-canonical electron bifurcating [FeFe]-hydrogenases of separate evolutionary origins in Hydrogenedentota.	Zheng X, Huang L.	mSystems	10.1128/msystems.00999-24	2024
Metabolism	Life based on phosphite: a genome-guided analysis of Desulfotignum phosphitoxidans.	Poehlein A, Daniel R, Schink B, Simeonova DD.	BMC Genomics	10.1186/1471-2164-14-753	2013
Metabolism	Identification and heterologous expression of genes involved in anaerobic dissimilatory phosphite oxidation by Desulfotignum phosphitoxidans.	Simeonova DD, Wilson MM, Metcalf WW, Schink B.	J Bacteriol	10.1128/jb.00541-10	2010
Phylogeny	Desulfotignum toluenicum sp. nov., a novel toluene-degrading, sulphate-reducing bacterium isolated from an oil-reservoir model column.	Ommedal H, Torsvik T	Int J Syst Evol Microbiol	10.1099/ijs.0.65067-0	2007

References

#2958	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 7044
#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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Desulfotignum balticum (DSM 7044, SAX)

Name and taxonomic classification

Morphology

Cell morphology

Colony 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_000421285

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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