Desulfatibacillum alkenivorans (DSM 16219, ATCC BAA-924, PF2803)

Name: Desulfatibacillum alkenivorans (DSM 16219, ATCC BAA-924, PF2803)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 3947

Type strain

Strain Designation PF2803

Culture col. no. DSM 16219 ATCC BAA-924 PF2803

NCBI tax ID(s) 1121393 259354

Special Collections DSMZ Literature strains

History <- C. Cravo-Laureau, IMEP CNRS UMR 6116, Faculté des Sciences et Techniques de Saint-Jérôme, Marseille, France; PF2803 <- C. Cravo-Laureau; {2000}

Links

Desulfatibacillum alkenivorans PF2803 is an anaerobe, Gram-negative, rod-shaped bacterium that was isolated from oil polluted sediment of operation station of ballast water and tank water cleanning.

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

Name and taxonomic classification

SI-ID 134284

ATCC BAA-924,DSM 16219

@ref 20215

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

Domain Bacteria

Phylum Thermodesulfobacteriota

Class Desulfobacteria

Order Desulfobacterales

Family Desulfatibacillaceae

Genus Desulfatibacillum

Species Desulfatibacillum alkenivorans

Full scientific name Desulfatibacillum alkenivorans Cravo-Laureau et al. 2004

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
31235	negative	1.2-4.5 µm	0.68 µm	rod-shaped
125439	negative				99.2
125438	negative				92.985

Colony morphology

6334

Incubation period3-7 days

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
6334	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 Na2SO4 2.99103 g/l MgCl2 x 6 H2O 2.99103 g/l None 0.997009 g/l Na2CO3 0.997009 g/l KCl 0.498504 g/l Na2S x 9 H2O 0.398804 g/l NH4Cl 0.299103 g/l KH2PO4 0.199402 g/l CaCl2 x 2 H2O 0.149551 g/l HCl 0.00249252 g/l FeCl2 x 4 H2O 0.00149551 g/l NaOH 0.000498504 g/l Sodium resazurin 0.000498504 g/l CoCl2 x 6 H2O 0.000189432 g/l MnCl2 x 4 H2O 9.97009e-05 g/l Pyridoxine hydrochloride 9.97009e-05 g/l ZnCl2 6.97906e-05 g/l (DL)-alpha-Lipoic acid 4.98504e-05 g/l Calcium D-(+)-pantothenate 4.98504e-05 g/l p-Aminobenzoic acid 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)
6334	positive	growth	30
31235	positive	growth	22-38
31235	positive	optimum	29

Culture pH

@ref	Ability	Type	PH
31235	positive	optimum	6.8
31235	positive	growth	6.2-8.0

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
6334	anaerobe
125439	facultative anaerobe	91.1

Spore formation

@ref	Spore formation	Confidence
31235
125439		95.5

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
31235	28885 ChEBI	butanol	+	carbon source
31235	17754 ChEBI	glycerol	+	carbon source
31235	25115 ChEBI	malate	+	carbon source
31235	15361 ChEBI	pyruvate	+	carbon source
31235	31011 ChEBI	valerate	+	carbon source

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Contamination	#Oil (Fuel)
#Environmental	#Aquatic	#Sediment

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
6334	oil polluted sediment of operation station of ballast water and tank water cleanning	Fos Harbor	France	FRA	Europe

Taxonmaps

69479

Global distribution of 16S sequence AY493562 (>99% sequence identity) for Desulfatibacillum from Microbeatlas

Aquatic Samples	692
Soil Samples	81
Animal Samples	30
Plant Samples	17
Total Samples	820

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
6334	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	IMG-taxon 2585428156 annotated assembly for Desulfatibacillum alkenivorans DSM 16219	scaffold	GCA_900142135	1121393.3	2585428156	1121393	52.78

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
6334	Desulfatibacillum alkenivorans 16S ribosomal RNA gene, partial sequence	AY493562	1524		259354

GC content

@ref	GC-content (mol%)	Method
6334	57.8	high performance liquid chromatography (HPLC)
31235	57.8

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Desulfatibacillum alkenivorans DSM 16219
NCBI: GCA_900142135

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	91.10	no
125439	gram_stain	BacteriaNetⓘ	negative	99.20	no
125439	motility	BacteriaNetⓘ	no	64.60	no
125439	spore_formation	BacteriaNetⓘ	no	95.50	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Desulfatibacillum alkenivorans DSM 16219 DSM 16219
NCBI: GCA_900142135.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	92.99	no
125438	anaerobic	anaerobicⓘ	yes	78.49	no
125438	aerobic	aerobicⓘ	no	80.88	no
125438	spore-forming	spore-formingⓘ	no	86.20	yes
125438	thermophilic	thermophileⓘ	no	86.38	yes
125438	flagellated	motile2+ⓘ	yes	66.29	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Application of denaturing high-performance liquid chromatography for monitoring sulfate-reducing bacteria in oil fields.	Priha O, Nyyssonen M, Bomberg M, Laitila A, Simell J, Kapanen A, Juvonen R.	Appl Environ Microbiol	10.1128/aem.01015-13	2013
	High Diversity of Anaerobic Alkane-Degrading Microbial Communities in Marine Seep Sediments Based on (1-methylalkyl)succinate Synthase Genes.	Stagars MH, Ruff SE, Amann R, Knittel K.	Front Microbiol	10.3389/fmicb.2015.01511	2015
Metabolism	Mono- and dialkyl glycerol ether lipids in anaerobic bacteria: biosynthetic insights from the mesophilic sulfate reducer Desulfatibacillum alkenivorans PF2803T.	Grossi V, Mollex D, Vincon-Laugier A, Hakil F, Pacton M, Cravo-Laureau C	Appl Environ Microbiol	10.1128/AEM.03794-14	2015
Phylogeny	Desulfatibacillum alkenivorans sp. nov., a novel n-alkene-degrading, sulfate-reducing bacterium, and emended description of the genus Desulfatibacillum.	Cravo-Laureau C, Matheron R, Joulian C, Cayol JL, Hirschler-Rea A	Int J Syst Evol Microbiol	10.1099/ijs.0.63104-0	2004

References

#6334	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 16219
#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 )
#27559	IJSEM 1693 2004 ( DOI 10.1099/ijs.0.63104-0 , PubMed 15388722 )
#31235	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 #27559
#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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Desulfatibacillum alkenivorans (DSM 16219, ATCC BAA-924, PF2803)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Culture and growth conditions

Culture medium

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Metabolite utilization

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_900142135

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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