Alkalidesulfovibrio alkalitolerans (DSM 16529, JCM 12612, RT2)

Name: Alkalidesulfovibrio alkalitolerans (DSM 16529, JCM 12612, RT2)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 4159

Type strain

Strain Designation RT2

Culture col. no. DSM 16529 JCM 12612 RT2

NCBI tax ID(s) 293256

Special Collections DSMZ JCM Literature strains

Links

Alkalidesulfovibrio alkalitolerans RT2 is an anaerobe, thermophilic, motile prokaryote that was isolated from metal coupon in corrosion monitoring reactor in District Heating Plant.

motile ovoid-shaped anaerobe thermophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 132770

DSM 16529,JCM 12612

@ref 20215

Last LPSN update 2025-12-16 09:47:45

Domain Pseudomonadati

Phylum Thermodesulfobacteriota

Class Desulfovibrionia

Order Desulfovibrionales

Family Desulfovibrionaceae

Genus Alkalidesulfovibrio

Species Alkalidesulfovibrio alkalitolerans

Full scientific name Alkalidesulfovibrio alkalitolerans (Abildgaard et al. 2006) Park et al. 2023

Synonyms (2)

Desulfohalovibrio alkalitolerans
Desulfovibrio alkalitolerans

Morphology

Cell morphology

@ref	Cell length	Cell width	Cell shape	Gram stain	Confidence
31618	1.4-1.9 µm	0.5-0.8 µm	ovoid-shaped
125438				negative	96.477
125439				negative	98.3

Pigmentation

31618

Productionyes

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
6392	DESULFOFALX MEDIUM (DSMZ Medium 866)		Medium recipe at MediaDive	Name: DESULFOFALX MEDIUM (DSMZ Medium 866) Composition: NaHCO3 7.98403 g/l Na-formate 4.99002 g/l NaCl 4.99002 g/l Na2SO4 4.99002 g/l Yeast extract 1.49701 g/l NH4Cl 0.998004 g/l Na2CO3 0.499002 g/l Na2S x 9 H2O 0.499002 g/l KCl 0.199601 g/l KH2PO4 0.199601 g/l MgCl2 x 6 H2O 0.0998004 g/l HCl 0.00249501 g/l FeCl2 x 4 H2O 0.00149701 g/l Sodium resazurin 0.000499002 g/l CoCl2 x 6 H2O 0.000189621 g/l Pyridoxine hydrochloride 9.98004e-05 g/l MnCl2 x 4 H2O 9.98004e-05 g/l ZnCl2 6.98603e-05 g/l (DL)-alpha-Lipoic acid 4.99002e-05 g/l p-Aminobenzoic acid 4.99002e-05 g/l Calcium D-(+)-pantothenate 4.99002e-05 g/l Nicotinic acid 4.99002e-05 g/l Thiamine HCl 4.99002e-05 g/l Riboflavin 4.99002e-05 g/l Na2MoO4 x 2 H2O 3.59281e-05 g/l NiCl2 x 6 H2O 2.39521e-05 g/l Folic acid 1.99601e-05 g/l Biotin 1.99601e-05 g/l H3BO3 5.98802e-06 g/l CuCl2 x 2 H2O 1.99601e-06 g/l Vitamin B12 9.98004e-07 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
6392	positive	growth	40	thermophilic
31618	positive	growth	16-47
31618	positive	optimum	43	thermophilic
67770	positive	growth	40	thermophilic

Culture pH

@ref	Ability	Type	PH	PH range
31618	positive	optimum	9-9.4
31618	positive	growth	6.9-9.9	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance
6392	anaerobe
31618	anaerobe

Spore formation

@ref	Spore formation	Confidence
31618
125439		98.2

Halophily

@ref	Salt	Growth	Tested relation	Concentration
31618	NaCl	positive	growth	0-13 %
31618	NaCl	positive	optimum	0-7 %

Observation

@ref	Observation
31618	aggregates in chains
67770	quinones: MK-7

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
31618	15740 ChEBI	formate	+	carbon source
31618	24996 ChEBI	lactate	+	carbon source
31618	15361 ChEBI	pyruvate	+	carbon source

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Industrial	#Engineered product
#Engineered	#Industrial	#Plant (Factory)

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
6392	metal coupon in corrosion monitoring reactor in District Heating Plant	Skanderborg	Denmark	DNK	Europe
67770	Metal coupon in corrosion monitoring reactor in a district heating plant	Jutland	Denmark	DNK	Europe

Taxonmaps

69479

Global distribution of 16S sequence AY649785 (>99% sequence identity) for Desulfohalovibrio alkalitolerans subclade from Microbeatlas

Aquatic Samples	114
Soil Samples	16
Animal Samples	42
Plant Samples	4
Total Samples	176

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
6392	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	Desulfovibrio alkalitolerans DSM 16529	complete			2571042912	1121439	94.4
67770	D_alkalitolerans_DSM16529_v1.0 assembly for Alkalidesulfovibrio alkalitolerans DSM 16529	contig	GCA_000422245	1121439.3	2619619068	1121439	73.17

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
6392	Desulfovibrio alkalitolerans 16S ribosomal RNA gene, partial sequence	AY649785	1517		293256

GC content

6392

GC-content (mol%)64.7

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Desulfohalovibrio alkalitolerans DSM 16529
NCBI: GCA_000422245

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	98.20	no
125439	motility	BacteriaNetⓘ	yes	70.00	no
125439	gram_stain	BacteriaNetⓘ	negative	98.30	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	80.50	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Desulfovibrio alkalitolerans DSM 16529
PATRIC: 1121439.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	96.48	no
125438	anaerobic	anaerobicⓘ	yes	85.22	yes
125438	spore-forming	spore-formingⓘ	no	89.46	yes
125438	aerobic	aerobicⓘ	no	86.84	no
125438	thermophilic	thermophileⓘ	no	80.36	no
125438	flagellated	motile2+ⓘ	yes	79.43	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	Bioinformatics Investigations of Universal Stress Proteins from Mercury-Methylating Desulfovibrionaceae.	Isokpehi RD, McInnis DS, Destefano AM, Johnson GS, Walker AD, Hall YA, Mapp BW, Johnson MO, Simmons SS.	Microorganisms	10.3390/microorganisms9081780	2021
Metabolism	Benzoic acid-degrading bacteria from the intestinal tract of Macrotermes michaelseni Sjöstedt.	Kamanda Ngugi D, Khamis Tsanuo M, Iddi Boga H.	J Basic Microbiol	10.1002/jobm.200610142	2007
	Sulfate-Reducing Bacteria That Produce Exopolymers Thrive in the Calcifying Zone of a Hypersaline Cyanobacterial Mat.	Spring S, Sorokin DY, Verbarg S, Rohde M, Woyke T, Kyrpides NC.	Front Microbiol	10.3389/fmicb.2019.00862	2019
Genetics	Draft genome sequences for three mercury-methylating, sulfate-reducing bacteria.	Brown SD, Hurt RA Jr, Gilmour CC, Elias DA	Genome Announc	10.1128/genomeA.00618-13	2013
Metabolism	Desulfovibrio alkalitolerans sp. nov., a novel alkalitolerant, sulphate-reducing bacterium isolated from district heating water.	Abildgaard L, Nielsen MB, Kjeldsen KU, Ingvorsen K	Int J Syst Evol Microbiol	10.1099/ijs.0.63909-0	2006

References

#6392	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 16529
#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 )
#31618	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 #27905 (see below)
#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) .
#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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Alkalidesulfovibrio alkalitolerans (DSM 16529, JCM 12612, RT2)

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_000422245

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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