Acidithiobacillus ferrooxidans (DSM 9465, NFe-4)

Name: Acidithiobacillus ferrooxidans (DSM 9465, NFe-4)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 116

Type strain

Strain Designation NFe-4

Culture col. no. DSM 9465 NFe-4

NCBI tax ID(s) 920

Special Collections DSMZ

History DSMZ <- B. M. Goebel, University of Queensland, Department of Microbiology, St. Lucia, Queensland, Australia; NFe-4 <- B. M. Goebel {1991}

Links

Acidithiobacillus ferrooxidans NFe-4 is a bacterium that was isolated from mine shaff water sample.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 48621

DSM 9465

@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)
111	A. ferrooxidans DSM 583
112	A. ferrooxidans DSM 584
113	A. ferrooxidans DSM 585
114	A. ferrooxidans F221, DSM 1927
115	A. ferrooxidans N-Fe3, DSM 9464
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

3583

Incubation period3-7 days

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
3583	ACIDIFERROBACTER (MS) MEDIUM (DSMZ Medium 670)		Medium recipe at MediaDive	Name: ACIDIFERROBACTER (MS) MEDIUM (DSMZ Medium 670) Composition: FeSO4 x 7 H2O 20.0 g/l (NH4)2SO4 2.0 g/l MgSO4 x 7 H2O 0.25 g/l K2HPO4 0.1 g/l KCl 0.1 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
3583	positive	growth	28

Physiology and metabolism

Spore formation

@ref	Spore formation	Confidence
125439		99.05
125438		93.213

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Other	#Mine
#Environmental	#Aquatic	-

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
3583	mine shaff water sample	Mount Isa	Australia	AUS	Australia and Oceania

Taxonmaps

69479

Global distribution of 16S sequence Y11595 (>99% sequence identity) for Acidithiobacillus from Microbeatlas

Aquatic Samples	68
Soil Samples	4
Animal Samples	1
Plant Samples	0
Total Samples	73

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
3583	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	ASM1885461v1 assembly for Acidithiobacillus ferridurans DSM 9465	contig	GCA_018854615	1232575.19	1232575	11.65

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20218	Acidithiobacillus ferrooxidans 16S rRNA gene, strain DSM9465	Y11595	1470		920
3583	Acidithiobacillus ferrooxidans (N-Fe4) partial 16S ribosomal RNA gene	X75267	1333		920

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM1885461v1 assembly for Acidithiobacillus ferridurans DSM 9465
NCBI: GCA_018854615

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	79.18	no
125439	gram_stain	BacteriaNetⓘ	negative	88.92	no
125439	motility	BacteriaNetⓘ	yes	53.65	no
125439	spore_formation	BacteriaNetⓘ	no	99.05	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Acidithiobacillus ferridurans strain DSM 9465
PATRIC: 1232575.19

@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	93.21	no
125438	aerobic	aerobicⓘ	no	52.85	no
125438	thermophilic	thermophileⓘ	no	92.77	no
125438	flagellated	motile2+ⓘ	no	70.44	no

Literature

References

#3583	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 9465
#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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