Thermodesulfobacterium hydrogeniphilum (DSM 14290, JCM 11239, SL6)

Name: Thermodesulfobacterium hydrogeniphilum (DSM 14290, JCM 11239, SL6)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 16894

Type strain

Strain Designation SL6

Culture col. no. DSM 14290 JCM 11239 SL6

NCBI tax ID(s) 161156

Special Collections DSMZ JCM

Links

Thermodesulfobacterium hydrogeniphilum SL6 is an anaerobe, thermophilic prokaryote that was isolated from deep-sea hydrothermal vent sulfides, 2000 m depth.

anaerobe thermophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 101010

DSM 14290,JCM 11239

@ref 20215

Last LPSN update 2025-12-16 09:50:57

Domain Pseudomonadati

Phylum Thermodesulfobacteriota

Class Thermodesulfobacteria

Order Thermodesulfobacteriales

Family Thermodesulfobacteriaceae

Genus Thermodesulfobacterium

Species Thermodesulfobacterium hydrogeniphilum

Full scientific name Thermodesulfobacterium hydrogeniphilum Jeanthon et al. 2002

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	98.386

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
5301	THERMODESULFOBACTERIUM HYDROGENIPHILUM MEDIUM (DSMZ Medium 829b)		Medium recipe at MediaDive	Name: THERMODESULFOBACTERIUM HYDROGENIPHILUM MEDIUM (DSMZ Medium 829b) Composition: Sea Salt 29.8507 g/l MES [2-(N-morpholino) ethane sulfonic acid] 1.9403 g/l NH4Cl 0.995025 g/l Na2CO3 0.497512 g/l Yeast extract 0.497512 g/l KH2PO4 0.348259 g/l Na2S2O4 0.0497512 g/l NaHCO3 0.0497512 g/l Succinic acid 0.00597015 g/l 3-Methylbutyric acid 0.00497512 g/l Valeric acid 0.00497512 g/l Isobutyric acid 0.00497512 g/l 2-Methylbutyric acid 0.00497512 g/l HCl 0.00248756 g/l Caproic acid 0.00199005 g/l FeCl2 x 4 H2O 0.00149254 g/l NaOH 0.000497512 g/l Sodium resazurin 0.000497512 g/l Pyridoxine hydrochloride 0.000298507 g/l Nicotinic acid 0.000199005 g/l Thiamine-HCl x 2 H2O 0.000199005 g/l CoCl2 x 6 H2O 0.000189055 g/l MnCl2 x 4 H2O 9.95025e-05 g/l Calcium pantothenate 9.95025e-05 g/l Vitamin B12 9.95025e-05 g/l p-Aminobenzoic acid 7.9602e-05 g/l ZnCl2 6.96517e-05 g/l Na2MoO4 x 2 H2O 3.58209e-05 g/l NiCl2 x 6 H2O 2.38806e-05 g/l D-(+)-biotin 1.99005e-05 g/l H3BO3 5.97015e-06 g/l Na2WO4 x 2 H2O 3.9801e-06 g/l Na2SeO3 x 5 H2O 2.98507e-06 g/l CuCl2 x 2 H2O 1.99005e-06 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
5301	positive	growth	70	thermophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
5301	anaerobe
125438	anaerobe	93.406
125439	anaerobe	96.3

Spore formation

@ref	Spore formation	Confidence
125438		92.783

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Aquatic	#Hydrothermal vent
#Environmental	#Aquatic	#Marine
#Condition	#Sulfuric	-
#Condition	#Thermophilic (>45°C)	-

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent	Latitude	Longitude
5301	deep-sea hydrothermal vent sulfides, 2000 m depth	Guaymas Basin hydrothermal vent field	Mexico	MEX	North America	27.0167	-111.4 27.0167/-111.4

Taxonmaps

69479

Global distribution of 16S sequence AF332514 (>99% sequence identity) for Thermodesulfobacterium hydrogeniphilum subclade from Microbeatlas

Aquatic Samples	58
Soil Samples	1
Animal Samples	1
Plant Samples
Total Samples	60

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
5301	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	ASM74625v1 assembly for Thermodesulfobacterium hydrogeniphilum DSM 14290	scaffold	GCA_000746255	161156.3	2579779159	161156	69.66

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
5301	Thermodesulfobacterium hydrogeniphilum 16S ribosomal RNA gene, partial sequence	AF332514	1497		161156

GC content

@ref	GC-content (mol%)	Method
5301	28	thermal denaturation, midpoint method (Tm)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Thermodesulfobacterium hydrogeniphilum DSM 14290
NCBI: GCA_000746255

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	66.80	no
125439	motility	BacteriaNetⓘ	yes	76.90	no
125439	gram_stain	BacteriaNetⓘ	negative	77.80	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	96.30	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Thermodesulfobacterium hydrogeniphilum DSM 14290
NCBI: GCA_000746255.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.39	no
125438	anaerobic	anaerobicⓘ	yes	93.41	no
125438	aerobic	aerobicⓘ	no	97.11	yes
125438	spore-forming	spore-formingⓘ	no	92.78	no
125438	thermophilic	thermophileⓘ	yes	81.36	no
125438	flagellated	motile2+ⓘ	yes	68.90	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Microbial community analysis of anaerobic reactors treating soft drink wastewater.	Narihiro T, Kim NK, Mei R, Nobu MK, Liu WT.	PLoS One	10.1371/journal.pone.0119131	2015
Phylogeny	Thermodesulfobacterium hydrogeniphilum sp. nov., a thermophilic, chemolithoautotrophic, sulfate-reducing bacterium isolated from a deep-sea hydrothermal vent at Guaymas Basin, and emendation of the genus Thermodesulfobacterium.	Jeanthon C, L'Haridon S, Cueff V, Banta A, Reysenbach AL, Prieur D	Int J Syst Evol Microbiol	10.1099/00207713-52-3-765	2002

References

#5301	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 14290
#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) .
#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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Thermodesulfobacterium hydrogeniphilum (DSM 14290, JCM 11239, SL6)

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

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_000746255

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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