Acidithiobacillus ferrivorans SS3 is a bacterium that was isolated from sediment sample.
genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Acidithiobacillia |
| Order Acidithiobacillales |
| Family Acidithiobacillaceae |
| Genus Acidithiobacillus |
| Species Acidithiobacillus ferrivorans |
| Full scientific name Acidithiobacillus ferrivorans Hallberg et al. 2010 |
| BacDive ID | Other strains from Acidithiobacillus ferrivorans (1) | Type strain |
|---|---|---|
| 129 | A. ferrivorans NO-37, DSM 22755, JCM 15606 (type strain) |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 6950 | 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 H2SO4 Distilled water |
| @ref | Growth | Type | Temperature (°C) | |
|---|---|---|---|---|
| 6950 | positive | growth | 25 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Environmental | #Terrestrial | #Sediment | |
| #Environmental | #Aquatic | #Sediment |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 6950 | sediment sample | Taimyr, Norilsk Industrial Area, copper-nickel mining area | Russia | RUS | Asia |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM21409v3 assembly for Acidithiobacillus ferrivorans SS3 | complete | 743299 | 98.81 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 6950 | Acidithiobacillus ferrivorans SS3 strain SS3 16S ribosomal RNA, complete sequence | NR_074660 | 1524 | 743299 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 6950 | 56.6 | sequence analysis |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | anaerobe | 60.51 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 92.78 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 63.22 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 99.32 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 97.50 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 78.81 | no |
| 125438 | aerobic | aerobicⓘ | no | 54.92 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 90.46 | no |
| 125438 | thermophilic | thermophileⓘ | no | 93.46 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 74.05 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Metabolism | Acidithiobacillus ferrivorans SS3 presents little RNA transcript response related to cold stress during growth at 8 °C suggesting it is a eurypsychrophile. | Christel S, Fridlund J, Watkin EL, Dopson M. | Extremophiles | 10.1007/s00792-016-0882-2 | 2016 | |
| The use of synthetic agonists of quorum sensing N- acyl homoserine lactone pathway improves the bioleaching ability in Acidithiobacillus and Pseudomonas bacteria. | Caicedo JC, Villamizar S, Orlandoni G. | PeerJ | 10.7717/peerj.13801 | 2022 | ||
| Proteomics Reveal Enhanced Oxidative Stress Responses and Metabolic Adaptation in Acidithiobacillus ferrooxidans Biofilm Cells on Pyrite. | Bellenberg S, Huynh D, Poetsch A, Sand W, Vera M. | Front Microbiol | 10.3389/fmicb.2019.00592 | 2019 | ||
| Phylogeny | Molecular Systematics of the Genus Acidithiobacillus: Insights into the Phylogenetic Structure and Diversification of the Taxon. | Nunez H, Moya-Beltran A, Covarrubias PC, Issotta F, Cardenas JP, Gonzalez M, Atavales J, Acuna LG, Johnson DB, Quatrini R. | Front Microbiol | 10.3389/fmicb.2017.00030 | 2017 |
| #6950 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 17398 |
| #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) . |
| #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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If you want to cite this particular strain cite the following doi:
https://doi.org/10.13145/bacdive119.20260601.11
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BacDive in 2025: the core database for prokaryotic strain data