Acidithiobacillus ferrooxidans (DSM 583)

Name: Acidithiobacillus ferrooxidans (DSM 583)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 111

Type strain

Culture col. no. DSM 583

NCBI tax ID(s) 920

Special Collections DSMZ

History DSMZ <- D. P. Kelly, Univ. Warwick, Coventry, U.K. <- M. R. E. Porton <- M. G. Yates, John Hopkins University, Baltimore, USA <- W. W. Leathen, Mellon Institute, Pittsburgh, USA (Ferrobacillus ferrooxidans)

Links

Acidithiobacillus ferrooxidans DSM 583 is a bacterium that was isolated from coal mine effluent.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 47228

DSM 583,CECT 810,VTT E-95626

@ref 20215

Last LPSN update 2026-05-29 08:24:57

Domain Bacteria

Phylum Pseudomonadota

Class Acidithiobacillia

Order Acidithiobacillales

Family Acidithiobacillaceae

Genus Acidithiobacillus

Species Acidithiobacillus ferrooxidans

Full scientific name Acidithiobacillus ferrooxidans (Temple and Colmer 1951) Kelly and Wood 2000

Synonyms (1)

Thiobacillus ferrooxidans

BacDive ID	Other strains from **Acidithiobacillus ferrooxidans** (13)	Type strain
118	A. ferrooxidans TM, DSM 14882, ATCC 23270, NCIMB 8455 (type strain)
112	A. ferrooxidans DSM 584
113	A. ferrooxidans DSM 585
114	A. ferrooxidans F221, DSM 1927
115	A. ferrooxidans N-Fe3, DSM 9464
116	A. ferrooxidans NFe-4, DSM 9465
117	A. ferrooxidans Tf18, DSM 11477
120	A. ferrooxidans SP5/1, DSM 24419, JCM 39165
130137	A. ferrooxidans R1, DSM 29444
162005	A. ferrooxidans JCM 17309
164860	A. ferrooxidans JCM 3863, ATCC 19859, BCRC 13033, NCIMB 9490
164861	A. ferrooxidans JCM 3865
165617	A. ferrooxidans JCM 7812

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	97.214

Colony morphology

300

Incubation period3-7 days

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
300	ACIDITHIOBACILLUS FERROOXIDANS MEDIUM (DSMZ Medium 70)		Medium recipe at MediaDive	Name: ACIDITHIOBACILLUS FERROOXIDANS MEDIUM (DSMZ Medium 70) Composition: FeSO4 x 7 H2O 33.3 g/l (NH4)2SO4 0.4 g/l MgSO4 x 7 H2O 0.4 g/l KH2PO4 0.4 g/l H2SO4
300	LEPTOSPIRILLUM (HH) MEDIUM (DSMZ Medium 882)		Medium recipe at MediaDive	Name: LEPTOSPIRILLUM (HH) MEDIUM (DSMZ Medium 882) Composition: FeSO4 x 7 H2O 19.98 g/l CaCl2 x 2 H2O 0.146853 g/l (NH4)2SO4 0.131868 g/l MgCl2 x 6 H2O 0.0529471 g/l KH2PO4 0.0269731 g/l MnCl2 x 4 H2O 7.59241e-05 g/l ZnCl2 6.79321e-05 g/l CuCl2 x 2 H2O 6.69331e-05 g/l CoCl2 x 6 H2O 6.39361e-05 g/l H3BO3 3.0969e-05 g/l Na2MoO4 9.99001e-06 g/l Distilled water H2SO4

Culture temp

@ref	Growth	Type	Temperature (°C)
300	positive	growth	30

Physiology and metabolism

Spore formation

@ref	Spore formation	Confidence
125438		92.713
125439		98.837

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Waste	#Industrial wastewater
#Engineered	#Other	#Mine

Isolation

300

Sample typecoal mine effluent

Taxonmaps

69479

Global distribution of 16S sequence FN811931 (>99% sequence identity) for Acidithiobacillus from Microbeatlas

Aquatic Samples	493
Soil Samples	100
Animal Samples	74
Plant Samples	6
Total Samples	673

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
300	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	ASM1885453v1 assembly for Acidithiobacillus ferridurans DSM 583	contig	GCA_018854535	1232575.21	1232575	0

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20218	Acidithiobacillus ferrooxidans partial 16S rRNA gene, strain DSM583	FN811931	1422		920

GC content

300

GC-content (mol%)58.0

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM1885453v1 assembly for Acidithiobacillus ferridurans DSM 583
NCBI: GCA_018854535

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	59.10	no
125439	gram_stain	BacteriaNetⓘ	negative	86.83	no
125439	motility	BacteriaNetⓘ	yes	45.07	no
125439	spore_formation	BacteriaNetⓘ	no	98.84	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Acidithiobacillus ferridurans strain DSM 583
PATRIC: 1232575.21

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	97.21	no
125438	anaerobic	anaerobicⓘ	no	77.54	no
125438	spore-forming	spore-formingⓘ	no	92.71	no
125438	aerobic	aerobicⓘ	no	52.47	no
125438	thermophilic	thermophileⓘ	no	92.77	yes
125438	flagellated	motile2+ⓘ	no	70.44	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Extracting metal ions from basic oxygen steelmaking dust by using bio-hydrometallurgy.	Tezyapar Kara I, Huntington VE, Simmons N, Wagland ST, Coulon F.	Heliyon	10.1016/j.heliyon.2024.e32437	2024
Metabolism	pH gradient-induced heterogeneity of Fe(III)-reducing microorganisms in coal mining-associated lake sediments.	Blothe M, Akob DM, Kostka JE, Goschel K, Drake HL, Kusel K.	Appl Environ Microbiol	10.1128/aem.01194-07	2008
Enzymology	Enzyme-linked immunofiltration assay To estimate attachment of thiobacilli to pyrite	Dziurla MA, Achouak W, Lam BT, Heulin T, Berthelin J	Appl Environ Microbiol	10.1128/AEM.64.8.2937-2942.1998	1998

References

#300	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 583
#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) .
#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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Acidithiobacillus ferrooxidans (DSM 583)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Spore formation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_018854535

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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