Acidithiobacillus thiooxidans (DSM 504, ATCC 8085, IFO 12544)

Name: Acidithiobacillus thiooxidans (DSM 504, ATCC 8085, IFO 12544)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 121

Type strain

Culture col. no. DSM 504 ATCC 8085 IFO 12544 NBRC 12544 NCIMB 9112 2 more

NCBI tax ID(s) 930

Special Collections DSMZ JCM

Links

Acidithiobacillus thiooxidans DSM 504 is a mesophilic prokaryote of the family Acidithiobacillaceae.

mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 34918

ATCC 8085,IFO 13701,NCIB 9112,CCUG 2083,DSM 504,IFO 12544,JCM 3866,IAM 12133,NCIMB 9112,KCTC 2505,NBRC13701,CCT 1721,NBRC 12544

@ref 20215

Last LPSN update 2025-12-16 09:46:47

Domain Pseudomonadati

Phylum Pseudomonadota

Class Acidithiobacillia

Order Acidithiobacillales

Family Acidithiobacillaceae

Genus Acidithiobacillus

Species Acidithiobacillus thiooxidans

Full scientific name Acidithiobacillus thiooxidans (Waksman and Joffe 1922) Kelly and Wood 2000

Synonyms (3)

Acidithiobacillus concretivorus
Thiobacillus thiooxidans
Thiobacillus concretivorus

BacDive ID	Other strains from **Acidithiobacillus thiooxidans** (9)	Type strain
125	A. thiooxidans 3/TA, DSM 14887, ATCC 19377, JCM 3867, NCIMB ... (type strain)
122	A. thiooxidans GP5, DSM 622
123	A. thiooxidans B-S2, DSM 9463
124	A. thiooxidans Tth04, DSM 11478
132685	A. thiooxidans CLST, DSM 103717
137426	A. thiooxidans CIP 104766, ATCC 19703, NCIMB 8345
164862	A. thiooxidans JCM 3868, ATCC 15494
165618	A. thiooxidans JCM 7813
165619	A. thiooxidans JCM 7814

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	96.3
125438	negative	96.47

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
242	ACIDITHIOBACILLUS MEDIUM (DSMZ Medium 35)		Medium recipe at MediaDive	Name: ACIDITHIOBACILLUS MEDIUM (DSMZ Medium 35) Composition: Sulfur 10.0 g/l KH2PO4 3.0 g/l CaCl2 x 2 H2O 0.14 g/l MgCl2 x 6 H2O 0.1 g/l NH4Cl 0.1 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
242	positive	growth	26	mesophilic
67770	positive	growth	30	mesophilic

Physiology and metabolism

Spore formation

@ref	Spore formation	Confidence
125439		98.3
125438		90.235

Observation

67770

Observationquinones: Q-8

Isolation, sampling and environmental information

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
242	1	Risk group (German classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	NCBI tax ID	Score
66792	ASM1885464v1 assembly for Acidithiobacillus thiooxidans ATCC 8085	contig	GCA_018854645	930.107	930	34.38

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20218	T.thiooxidans 16S-23S rDNA spacer region	X98209	545		930
242	Acidithiobacillus thiooxidans strain ATCC 8085 16S ribosomal RNA gene, partial sequence	KX894721	1536		930

GC content

@ref	GC-content (mol%)	Method
242	53.0
67770	53	thermal denaturation, midpoint method (Tm)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Acidithiobacillus thiooxidans ATCC 8085
NCBI: GCA_018854645

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	98.30	no
125439	motility	BacteriaNetⓘ	yes	55.60	no
125439	gram_stain	BacteriaNetⓘ	negative	96.30	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	64.20	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Acidithiobacillus thiooxidans strain ATCC 8085
PATRIC: 930.107

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	96.47	no
125438	anaerobic	anaerobicⓘ	no	83.15	no
125438	aerobic	aerobicⓘ	yes	64.53	no
125438	spore-forming	spore-formingⓘ	no	90.24	no
125438	thermophilic	thermophileⓘ	no	92.36	yes
125438	flagellated	motile2+ⓘ	yes	56.43	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Fungi Can Be More Effective than Bacteria for the Bioremediation of Marine Sediments Highly Contaminated with Heavy Metals.	Dell'Anno F, Rastelli E, Buschi E, Barone G, Beolchini F, Dell'Anno A.	Microorganisms	10.3390/microorganisms10050993	2022
	Zinc recovery from bioleachate using a microbial electrolysis cell and comparison with selective precipitation.	Spiess S, Kucera J, Vaculovic T, Birklbauer L, Habermaier C, Conde AS, Mandl M, Haberbauer M.	Front Microbiol	10.3389/fmicb.2023.1238853	2023
	A Tn7-like transposon is present in the glmUS region of the obligately chemoautolithotrophic bacterium Thiobacillus ferrooxidans.	Oppon JC, Sarnovsky RJ, Craig NL, Rawlings DE.	J Bacteriol	10.1128/jb.180.11.3007-3012.1998	1998
	Biotechnological applications derived from microorganisms of the Atacama Desert.	Azua-Bustos A, Gonzalez-Silva C.	Biomed Res Int	10.1155/2014/909312	2014
Phylogeny	Development and application of small-subunit rRNA probes for assessment of selected Thiobacillus species and members of the genus Acidiphilium.	Peccia J, Marchand EA, Silverstein J, Hernandez M.	Appl Environ Microbiol	10.1128/aem.66.7.3065-3072.2000	2000
Enzymology	Identification of thiobacilli by replica plating on thallous sulfide paper.	Galizzi A, Ferrari E.	Appl Environ Microbiol	10.1128/aem.32.3.433-435.1976	1976
	ISAfe1, an ISL3 family insertion sequence from Acidithiobacillus ferrooxidans ATCC 19859.	Holmes DS, Zhao HL, Levican G, Ratouchniak J, Bonnefoy V, Varela P, Jedlicki E.	J Bacteriol	10.1128/jb.183.14.4323-4329.2001	2001
Metabolism	Effect of pH on sulfite oxidation by Thiobacillus thiooxidans cells with sulfurous acid or sulfur dioxide as a possible substrate.	Takeuchi TL, Suzuki I.	J Bacteriol	10.1128/jb.176.3.913-916.1994	1994
Metabolism	Effect of various ions, pH, and osmotic pressure on oxidation of elemental sulfur by Thiobacillus thiooxidans.	Suzuki I, Lee D, Mackay B, Harahuc L, Oh JK.	Appl Environ Microbiol	10.1128/aem.65.11.5163-5168.1999	1999
Metabolism	Degradation of oil shale by sulfur-oxidizing bacteria.	Findley J, Appleman MD, Yen TF.	Appl Microbiol	10.1128/am.28.3.460-464.1974	1974
	Fatty acids of Thiobacillus thiooxidans.	Levin RA.	J Bacteriol	10.1128/jb.108.3.992-995.1971	1971
Metabolism	The sulfane sulfur of persulfides is the actual substrate of the sulfur-oxidizing enzymes from Acidithiobacillus and Acidiphilium spp.	Rohwerder T, Sand W	Microbiology (Reading)	10.1099/mic.0.26212-0	2003
Enzymology	Genomic organization analysis of acidophilic chemolithotrophic bacteria using pulsed field gel electrophoretic techniques.	Amils R, Irazabal N, Moreira D, Abad JP, Marin I	Biochimie	10.1016/s0300-9084(00)88888-4	1998
	Direct 5S rRNA Assay for Monitoring Mixed-Culture Bioprocesses.	Stoner DL, Browning CK, Bulmer DK, Ward TE, Macdonell MT	Appl Environ Microbiol	10.1128/aem.62.6.1969-1976.1996	1996
	Ferrous Iron and Sulfur Oxidation and Ferric Iron Reduction Activities of Thiobacillus ferrooxidans Are Affected by Growth on Ferrous Iron, Sulfur, or a Sulfide Ore.	Suzuki I, Takeuchi TL, Yuthasastrakosol TD, Oh JK	Appl Environ Microbiol	10.1128/aem.56.6.1620-1626.1990	1990
	Factors affecting oxidation of thiosalts by thiobacilli.	Silver M, Dinardo O	Appl Environ Microbiol	10.1128/aem.41.6.1301-1309.1981	1981

References

#242	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 504
#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 )
#20218	Verslyppe, B., De Smet, W., De Baets, B., De Vos, P., Dawyndt P.: StrainInfo introduces electronic passports for microorganisms.. Syst Appl Microbiol. 37: 42 - 50 2014 ( DOI 10.1016/j.syapm.2013.11.002 , PubMed 24321274 )
#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) .
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#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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Acidithiobacillus thiooxidans (DSM 504, ATCC 8085, IFO 12544)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Spore formation

Observation

Isolation, sampling and environmental information

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_018854645

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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