Desulfotruncus arcticus (DSM 17038, JCM 12923, 15)

Name: Desulfotruncus arcticus (DSM 17038, JCM 12923, 15)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 11829

Type strain

Strain Designation 15

Culture col. no. DSM 17038 JCM 12923 15

NCBI tax ID(s) 1121424 341036

Special Collections DSMZ JCM Literature strains

History <- V. Vandieken, Max-Planck-Inst. Marine Microbiology, Bremen, Germany; 15 <- V. Vandieken {2003} V. Vandieken 15.

Links

Desulfotruncus arcticus 15 is an anaerobe, spore-forming, Gram-variable bacterium that was isolated from marine surface sediment.

spore-forming Gram-variable rod-shaped anaerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 290968

DSM 17038,JCM 12923

@ref 20215

Last LPSN update 2026-02-09 11:20:40

Domain Bacteria

Phylum Bacillota

Class Clostridia

Order Eubacteriales

Family Peptococcaceae

Genus Desulfotruncus

Species Desulfotruncus arcticus

Full scientific name Desulfotruncus arcticus (Vandieken et al. 2006) Watanabe et al. 2021

Synonyms (2)

Desulfallas arcticus
Desulfotomaculum arcticum

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Motility
31690	variable	02-03 µm	1 µm	rod-shaped

Pigmentation

31690

Productionyes

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
6699	MARIDESULFOVIBRIO MEDIUM (DSMZ Medium 1040)		Medium recipe at MediaDive	Name: MARIDESULFOVIBRIO MEDIUM (DSMZ Medium 1040) Composition: Sea Salt 34.9301 g/l Na-DL-lactate 2.49501 g/l Yeast extract 0.998004 g/l Na2CO3 0.998004 g/l Na2S x 9 H2O 0.299401 g/l MgSO4 x 7 H2O 0.0299401 g/l NaCl 0.00998004 g/l MnSO4 x H2O 0.00499002 g/l (NH4)2Ni(SO4)2 x 6 H2O 0.00279441 g/l CoCl2 x 6 H2O 0.00179641 g/l ZnSO4 x 7 H2O 0.00179641 g/l FeSO4 x 7 H2O 0.000998004 g/l CaCl2 x 2 H2O 0.000998004 g/l Sodium resazurin 0.000499002 g/l AlK(SO4)2 x 12 H2O 0.000179641 g/l Pyridoxine hydrochloride 9.98004e-05 g/l CuSO4 x 5 H2O 9.98004e-05 g/l Na2SeO4 9.98004e-05 g/l Na2WO4 x 2 H2O 9.98004e-05 g/l Na2MoO4 x 2 H2O 9.98004e-05 g/l H3BO3 9.98004e-05 g/l Riboflavin 4.99002e-05 g/l Nicotinic acid 4.99002e-05 g/l Calcium D-(+)-pantothenate 4.99002e-05 g/l p-Aminobenzoic acid 4.99002e-05 g/l (DL)-alpha-Lipoic acid 4.99002e-05 g/l Thiamine HCl 4.99002e-05 g/l Folic acid 1.99601e-05 g/l Biotin 1.99601e-05 g/l Vitamin B12 9.98004e-07 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
6699	positive	growth	37
31690	positive	growth	26-46.5
31690	positive	optimum	44
67770	positive	growth	37

Culture pH

@ref	Ability	Type	PH
31690	positive	optimum	7.1-7.5
31690	positive	growth	6.8-7.5

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
6699	anaerobe
31690	anaerobe
125439	anaerobe	95.9

Spore formation

31690

Spore formationyes

Halophily

@ref	Salt	Growth	Tested relation	Concentration
31690	NaCl	positive	growth	0.05-4.5 %
31690	NaCl	positive	optimum	1-1.5 %

Observation

@ref	Observation
31690	aggregates in chains
67770	quinones: MK-7

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
31690	24996 ChEBI	lactate	+	carbon source
31690	17272 ChEBI	propionate	+	carbon source
31690	30031 ChEBI	succinate	+	carbon source

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Aquatic	#Marine
#Environmental	#Aquatic	#Sediment

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
6699	marine surface sediment	Svalbard	Norway	NOR	Europe
67770	Arctic fjord sediment of Svalbard

Taxonmaps

69479

Global distribution of 16S sequence DQ148942 (>99% sequence identity) for Desulfallas arcticus subclade from Microbeatlas

Aquatic Samples	53
Soil Samples	30
Animal Samples	2
Plant Samples	1
Total Samples	86

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
6699	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
67770	IMG-taxon 2599185230 annotated assembly for Desulfotruncus arcticus DSM 17038	scaffold	GCA_900113335	1121424.3	2599185230	1121424	63.71

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
6699	Desulfotomaculum arcticum strain 15 16S ribosomal RNA gene, partial sequence	DQ148942	1495		1121424

GC content

6699

GC-content (mol%)48.9

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Desulfotruncus arcticus DSM 17038
NCBI: GCA_900113335

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	79.80	no
125439	motility	BacteriaNetⓘ	yes	63.80	no
125439	gram_stain	BacteriaNetⓘ	variable	84.10	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	95.90	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Desulfotomaculum arcticum DSM 17038
PATRIC: 1121424.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	55.82	yes
125438	anaerobic	anaerobicⓘ	yes	79.36	yes
125438	spore-forming	spore-formingⓘ	yes	81.01	no
125438	aerobic	aerobicⓘ	no	86.51	yes
125438	thermophilic	thermophileⓘ	no	79.51	yes
125438	flagellated	motile2+ⓘ	yes	68.85	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Metabolism	Anaerobic Degradation of the Plant Sugar Sulfoquinovose Concomitant With H₂S Production: Escherichia coli K-12 and Desulfovibrio sp. Strain DF1 as Co-culture Model.	Burrichter A, Denger K, Franchini P, Huhn T, Muller N, Spiteller D, Schleheck D.	Front Microbiol	10.3389/fmicb.2018.02792	2018

References

#6699	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 17038
#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 )
#27967	IJSEM 687 2006 ( DOI 10.1099/ijs.0.64058-0 , PubMed 16585677 )
#31690	Barberan A, Caceres Velazquez H, Jones S, Fierer N.: Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information. mSphere 2: 2017 ( DOI 10.1128/mSphere.00237-17 , PubMed 28776041 ) - originally annotated from #27967
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#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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Desulfotruncus arcticus (DSM 17038, JCM 12923, 15)

Name and taxonomic classification

Morphology

Cell morphology

Pigmentation

Culture and growth conditions

Culture medium

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Halophily

Observation

Metabolite utilization

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_900113335

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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