Desulfosalsimonas propionicica (DSM 17721, VKM B-2385, PropA)

Name: Desulfosalsimonas propionicica (DSM 17721, VKM B-2385, PropA)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 4001

Type strain

Strain Designation PropA

Culture col. no. DSM 17721 VKM B-2385 PropA

NCBI tax ID(s) 332175

Special Collections DSMZ Literature strains

History <- K. Ingvorsen, University of Aarhus, Department of Microbiology, Institute of Biological Sciences, Denmark; PropA <- T. F. Jakobsen; {2005}

Links

Desulfosalsimonas propionicica PropA is an anaerobe, mesophilic, Gram-negative prokaryote that was isolated from extreme hypersaline sediment.

Gram-negative rod-shaped anaerobe mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 399971

DSM 17721

@ref 20215

Last LPSN update 2026-02-09 11:18:37

Domain Bacteria

Phylum Thermodesulfobacteriota

Class Desulfobacteria

Order Desulfobacterales

Family Desulfosalsimonadaceae

Genus Desulfosalsimonas

Species Desulfosalsimonas propionicica

Full scientific name Desulfosalsimonas propionicica Kjeldsen et al. 2010

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
29518	negative	3 µm	0.9 µm	rod-shaped
125439	negative				99
125438	negative				96.389

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
7161	DESULFOSALSIMONAS MEDIUM (DSMZ Medium 1056)		Medium recipe at MediaDive	Name: DESULFOSALSIMONAS MEDIUM (DSMZ Medium 1056) Composition: NaCl 59.8205 g/l MgSO4 x 7 H2O 9.97009 g/l KCl 5.98205 g/l Na-propionate 1.49551 g/l Na2CO3 1.49551 g/l NH4Cl 0.997009 g/l Yeast extract 0.498504 g/l CaCl2 x 2 H2O 0.398804 g/l Na2S x 9 H2O 0.299103 g/l KH2PO4 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 (DL)-alpha-Lipoic acid 4.98504e-05 g/l p-Aminobenzoic acid 4.98504e-05 g/l Calcium D-(+)-pantothenate 4.98504e-05 g/l Nicotinic acid 4.98504e-05 g/l Riboflavin 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 Folic acid 1.99402e-05 g/l Biotin 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)	Range
7161	positive	growth	37	mesophilic
29518	positive	growth	15-40
29518	positive	optimum	40	thermophilic

Culture pH

@ref	Ability	Type	PH
29518	positive	optimum	7
29518	positive	growth	6-8.3

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance
7161	anaerobe
29518	anaerobe

Spore formation

@ref	Spore formation	Confidence
29518
125439		97

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Terrestrial	#Sediment
#Condition	#Saline	-

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
7161	extreme hypersaline sediment	Utah, northern arm of Great Salt Lake	USA	USA	North America

Taxonmaps

69479

Global distribution of 16S sequence DQ067422 (>99% sequence identity) for Desulfosalsimonas propionicica subclade from Microbeatlas

Aquatic Samples	107
Soil Samples	6
Animal Samples
Plant Samples	1
Total Samples	114

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
7161	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	ASM1376100v1 assembly for Desulfosalsimonas propionicica DSM 17721	scaffold	GCA_013761005	332175.3	2861192947	332175	70.79

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
7161	Desulfosalsimonas propionicica strain PropA 16S ribosomal RNA gene, partial sequence	DQ067422	1469		332175

GC content

@ref	GC-content (mol%)	Method
7161	54.1	high performance liquid chromatography (HPLC)
29518	54.1

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Desulfosalsimonas propionicica DSM 17721
NCBI: GCA_013761005

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	97.00	no
125439	motility	BacteriaNetⓘ	no	59.20	no
125439	gram_stain	BacteriaNetⓘ	negative	99.00	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	88.10	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Desulfosalsimonas propionicica DSM 17721
NCBI: GCA_013761005.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	96.39	no
125438	anaerobic	anaerobicⓘ	yes	81.96	yes
125438	aerobic	aerobicⓘ	no	80.46	yes
125438	spore-forming	spore-formingⓘ	no	86.84	yes
125438	thermophilic	thermophileⓘ	no	78.77	no
125438	flagellated	motile2+ⓘ	yes	75.42	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Metabolism	Stratification of Sulfur Species and Microbial Community in Launched Marine Sediment by an Improved Sulfur-Fractionation Method and 16S rRNA Gene Sequencing.	Ihara H, Hori T, Aoyagi T, Hosono H, Takasaki M, Katayama Y.	Microbes Environ	10.1264/jsme2.me18153	2019
	Running against the clock: exploring microbial diversity in an extremely endangered microbial oasis in the Chihuahuan Desert.	Rodriguez-Cruz UE, Ochoa-Sanchez M, Eguiarte LE, Souza V.	FEMS Microbiol Ecol	10.1093/femsec/fiaf033	2025
Metabolism	Sulfidogenesis in hypersaline chloride-sulfate lakes of Kulunda Steppe (Altai, Russia).	Sorokin DY, Zacharova EE, Pimenov NV, Tourova TP, Panteleeva AN, Muyzer G.	FEMS Microbiol Ecol	10.1111/j.1574-6941.2011.01228.x	2012
Metabolism	Thermodynamic limits to microbial life at high salt concentrations.	Oren A.	Environ Microbiol	10.1111/j.1462-2920.2010.02365.x	2011
	Microbial ecology and biogeochemistry of hypersaline sediments in Orca Basin.	Nigro LM, Elling FJ, Hinrichs KU, Joye SB, Teske A.	PLoS One	10.1371/journal.pone.0231676	2020
Enzymology	Desulfonatronobacter acetoxydans sp. nov.,: a first acetate-oxidizing, extremely salt-tolerant alkaliphilic SRB from a hypersaline soda lake.	Sorokin DY, Chernyh NA, Poroshina MN.	Extremophiles	10.1007/s00792-015-0765-y	2015
Phylogeny	Desulfonatronobacter acidivorans gen. nov., sp. nov. and Desulfobulbus alkaliphilus sp. nov., haloalkaliphilic heterotrophic sulfate-reducing bacteria from soda lakes.	Sorokin DY, Tourova TP, Panteleeva AN, Muyzer G	Int J Syst Evol Microbiol	10.1099/ijs.0.029777-0	2011
Phylogeny	Desulfosalsimonas propionicica gen. nov., sp. nov., a halophilic, sulfate-reducing member of the family Desulfobacteraceae isolated from a salt-lake sediment.	Kjeldsen KU, Jakobsen TF, Glastrup J, Ingvorsen K	Int J Syst Evol Microbiol	10.1099/ijs.0.014746-0	2009

References

#7161	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 17721
#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 )
#25915	IJSEM 1060 2010 ( DOI 10.1099/ijs.0.014746-0 , PubMed 19666789 )
#29518	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 #25915
#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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Desulfosalsimonas propionicica (DSM 17721, VKM B-2385, PropA)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Culture pH

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_013761005

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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