Cite this strain

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

Links

Name and taxonomic classification

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

mesophilic genome sequence 16S sequence Bacteria

SI-ID 399662

DSM 29876

Last LPSN update 2024-12-09 10:53:18

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
68636	DESULFOSPOROSINUS ACIDIPHILUS MEDIUM (DSMZ Medium 1250)		Medium recipe provided by DSMZ

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
68636	positive	growth	30	mesophilic

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

Safety information

Sequence information

GC content

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

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

Genome sequences

@ref	Description	Accession	Assembly level	Database	NCBI tax ID
66792	Acididesulfobacillus acetoxydans INE	GCA_900016645	contig		1561005

Genome-based predictions

Predictions

Predictions from Diaspora project 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 Diaspora project 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

External links

Straininfo Link

@ref	Straininfo	Culture collections
115589	399662	DSM 29876

Culture collection no.

Culture collection no.
DSM 29876
JCM 30553
INE

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
#115589	Reimer, L.C., Lissin, A.,Schober, I., Witte,J.F., Podstawka, A., Lüken, H., Bunk, B.,Overmann, J.: StrainInfo: A central database for resolving microbial strain identifiers . ( DOI 10.60712/SI-ID399662.1 )
#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 .

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