Desulforamulus aeronauticus (DSM 10349, NBRC 112752, 9)

Name: Desulforamulus aeronauticus (DSM 10349, NBRC 112752, 9)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 11819

Type strain

Strain Designation 9

Culture col. no. DSM 10349 NBRC 112752 9

NCBI tax ID(s) 1121421 53343

Special Collections DSMZ

Links

Desulforamulus aeronauticus 9 is an anaerobe, mesophilic prokaryote that was isolated from corroded aluminium alloy in an aircraft.

anaerobe mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 48818

NBRC 112752,DSM 10349

@ref 20215

Last LPSN update 2025-12-16 09:49:41

Domain Bacillati

Phylum Bacillota

Class Clostridia

Order Eubacteriales

Family Peptococcaceae

Genus Desulforamulus

Species Desulforamulus aeronauticus

Full scientific name Desulforamulus aeronauticus (Hagenauer et al. 1997) Watanabe et al. 2021

Synonyms (1)

Desulfotomaculum aeronauticum

Morphology

Colony morphology

3916

Incubation period3-7 days

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
3916	DESULFOVIBRIO (MV) MEDIUM (DSMZ Medium 641)		Medium recipe at MediaDive	Name: DESULFOVIBRIO (MV) MEDIUM (DSMZ Medium 641; with strain-specific modifications) Composition: Na pyruvate 2.49252 g/l Na2SO4 1.99402 g/l Na2S2O3 x 5 H2O 0.997009 g/l MgSO4 x 7 H2O 0.997009 g/l NH4Cl 0.997009 g/l Yeast extract 0.997009 g/l Na2CO3 0.997009 g/l KH2PO4 0.498504 g/l Na2S x 9 H2O 0.0997009 g/l CaCl2 x 2 H2O 0.0997009 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 Pyridoxine hydrochloride 9.97009e-05 g/l MnCl2 x 4 H2O 9.97009e-05 g/l ZnCl2 6.97906e-05 g/l p-Aminobenzoic acid 4.98504e-05 g/l (DL)-alpha-Lipoic acid 4.98504e-05 g/l Riboflavin 4.98504e-05 g/l Thiamine HCl 4.98504e-05 g/l Nicotinic acid 4.98504e-05 g/l Calcium D-(+)-pantothenate 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
3916	positive	growth	37	mesophilic

Physiology and metabolism

Oxygen tolerance

3916

Oxygen toleranceanaerobe

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Industrial	#Engineered product

Isolation

3916

Sample typecorroded aluminium alloy in an aircraft

Taxonmaps

69479

Global distribution of 16S sequence X98407 (>99% sequence identity) for Desulfotomaculum aeronauticum subclade from Microbeatlas

Aquatic Samples	50
Soil Samples	41
Animal Samples	45
Plant Samples	10
Total Samples	146

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
3916	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 2585428189 annotated assembly for Desulforamulus aeronauticus DSM 10349	scaffold	GCA_900142375	1121421.3	2585428189	1121421	64.51

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
3916	D.aeronauticum 16S rRNA gene	X98407	1476		53343

GC content

@ref	GC-content (mol%)	Method
3916	43.8	high performance liquid chromatography (HPLC)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Desulforamulus aeronauticus DSM 10349
NCBI: GCA_900142375

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	82.80	no
125439	motility	BacteriaNetⓘ	yes	68.50	no
125439	gram_stain	BacteriaNetⓘ	variable	87.00	no
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	78.40	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Desulfotomaculum aeronauticum DSM 10349 DSM 10349
NCBI: GCA_900142375.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	53.30	no
125438	anaerobic	anaerobicⓘ	yes	86.72	yes
125438	aerobic	aerobicⓘ	no	94.96	yes
125438	spore-forming	spore-formingⓘ	yes	80.68	no
125438	thermophilic	thermophileⓘ	no	81.94	yes
125438	flagellated	motile2+ⓘ	yes	77.87	no

Literature

References

#3916	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 10349
#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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Desulforamulus aeronauticus (DSM 10349, NBRC 112752, 9)

Name and taxonomic classification

Morphology

Colony morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_900142375

16S sequences

GC content

Genome-based predictions

Predictions

Literature

References

BacDive

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