Acididesulfobacillus acetoxydans (DSM 29876, JCM 30553, INE)

Name: Acididesulfobacillus acetoxydans (DSM 29876, JCM 30553, INE)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 169365

Type strain

Strain Designation INE

Culture col. no. DSM 29876 JCM 30553 INE

NCBI tax ID(s) 1561005

Special Collections JCM DSMZ

History <- I. Sánchez-Andrea, Lab. Microbiology, Wageningen Univ., Netherlands; INE <- I. Sánchez-Andrea {2012}

Links

Acididesulfobacillus acetoxydans INE is a bacterium that was isolated from acidic sediments.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 399662

JCM 30553,DSM 29876

@ref 20215

Last LPSN update 2026-02-09 11:41:01

Domain Bacteria

Phylum Bacillota

Class Clostridia

Order Eubacteriales

Family Peptococcaceae

Genus Acididesulfobacillus

Species Acididesulfobacillus acetoxydans

Full scientific name Acididesulfobacillus acetoxydans Sánchez-Andrea et al. 2023

Morphology

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
68636	DESULFOSPOROSINUS ACIDIPHILUS MEDIUM (DSMZ Medium 1250)		Medium recipe at MediaDive	Name: DESULFOSPOROSINUS ACIDIPHILUS MEDIUM (DSMZ Medium 1250) Composition: KH2PO4 9.97009 g/l D-Fructose 3.48953 g/l Na2HPO4 0.997009 g/l L-Cysteine HCl x H2O 0.498504 g/l MgSO4 x 7 H2O 0.498504 g/l Yeast extract 0.498504 g/l (NH4)2SO4 0.448654 g/l KCl 0.0498504 g/l Ca(NO3)2 x 4 H2O 0.0199402 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 Calcium D-(+)-pantothenate 4.98504e-05 g/l Nicotinic acid 4.98504e-05 g/l p-Aminobenzoic acid 4.98504e-05 g/l (DL)-alpha-Lipoic acid 4.98504e-05 g/l Thiamine HCl 4.98504e-05 g/l Riboflavin 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)
68636	positive	growth	30

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	anaerobe	92.9

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent	Latitude	Longitude
68636	acidic sediments	Huelva, Tinto River, JL dam	Spain	ESP	Europe	37.6912	-6.5606 37.6912/-6.5606

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	NCBI tax ID	Score
66792	Peptococcaceae_bacterium_INE_assembly_1 assembly for Acididesulfobacillus acetoxydans INE	contig	GCA_900016645	1561005.7	1561005	47.08

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
68636	Peptococcaceae bacterium strain-l partial 16S rRNA gene, isolate strain-l	LN551924	1555		1541754

GC content

@ref	GC-content (mol%)	Method
68636	53.7	sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Acididesulfobacillus acetoxydans INE
NCBI: GCA_900016645

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	68.40	no
125439	motility	BacteriaNetⓘ	yes	64.80	no
125439	gram_stain	BacteriaNetⓘ	negative	75.50	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	92.90	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Acididesulfobacillus acetoxydans INE
NCBI: GCA_900016645.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	50.19	no
125438	anaerobic	anaerobicⓘ	yes	85.64	no
125438	aerobic	aerobicⓘ	no	88.62	no
125438	spore-forming	spore-formingⓘ	yes	86.12	no
125438	thermophilic	thermophileⓘ	no	79.20	yes
125438	flagellated	motile2+ⓘ	yes	62.04	no

Literature

References

#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) .
#68636	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 29876
#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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