Acidiferrobacter thiooxydans m-1 is a bacterium that was isolated from coal strip mine refuse.
genome sequence 16S sequence Bacteria| @ref 20215 |
|
|
| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Gammaproteobacteria |
| Order Acidiferrobacterales |
| Family Acidiferrobacteraceae |
| Genus Acidiferrobacter |
| Species Acidiferrobacter thiooxydans |
| Full scientific name Acidiferrobacter thiooxydans Hallberg et al. 2011 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 1071 | 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 |
| @ref | Spore formation | Confidence | |
|---|---|---|---|
| 125438 | 91.199 |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|
| 67770 | ASM333331v1 assembly for Acidiferrobacter thiooxydans m-1 | contig | 163359 | 66.52 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 20218 | Acidiferrobacter thiooxydans partial 16S rRNA gene, type strain DSM 2392T | AJ459800 | 1329 | 163359 | ||
| 20218 | Acidithiobacillus ferrooxidans 16S ribosomal RNA (16S rRNA), complete sequence | AH001796 | 736 | 920 | ||
| 1071 | Acidiferrobacter thiooxydans strain m-1 16S ribosomal RNA gene, partial sequence | AF387301 | 1475 | 163359 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 86.20 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 79.10 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 95.90 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 72.40 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 96.50 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 73.33 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 91.20 | no |
| 125438 | aerobic | aerobicⓘ | yes | 51.78 | no |
| 125438 | thermophilic | thermophileⓘ | no | 89.62 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 63.30 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Genetics | Integrative Assessments on Molecular Taxonomy of Acidiferrobacter thiooxydans ZJ and Its Environmental Adaptation Based on Mobile Genetic Elements. | Ma L, Yang W, Huang S, Liu R, Li H, Huang X, Xiong J, Liu X. | Front Microbiol | 10.3389/fmicb.2022.826829 | 2022 | |
| A novel gene from the acidophilic bacterium Leptospirillum sp. CF-1 and its role in oxidative stress and chromate tolerance. | Javier RA, Matias R, Alonso F, Renato C, Gloria L. | Biol Res | 10.1186/s40659-022-00388-0 | 2022 | ||
| Phylogeny | Phylogenetic diversity of dominant bacterial and archaeal communities in plant-microbial fuel cells using rice plants. | Ahn JH, Jeong WS, Choi MY, Kim BY, Song J, Weon HY. | J Microbiol Biotechnol | 10.4014/jmb.1408.08053 | 2014 | |
| The complete genome sequences of sulfur-oxidizing Gammaproteobacteria Sulfurifustis variabilis skN76(T) and Sulfuricaulis limicola HA5(T). | Umezawa K, Watanabe T, Miura A, Kojima H, Fukui M. | Stand Genomic Sci | 10.1186/s40793-016-0196-0 | 2016 | ||
| Phylogeny | Genomic Comparison, Phylogeny and Taxonomic Reevaluation of the Ectothiorhodospiraceae and Description of Halorhodospiraceae fam. nov. and Halochlorospira gen. nov. | Imhoff JF, Kyndt JA, Meyer TE. | Microorganisms | 10.3390/microorganisms10020295 | 2022 | |
| Metabolism | Ubiquitous Gammaproteobacteria dominate dark carbon fixation in coastal sediments. | Dyksma S, Bischof K, Fuchs BM, Hoffmann K, Meier D, Meyerdierks A, Pjevac P, Probandt D, Richter M, Stepanauskas R, Mussmann M. | ISME J | 10.1038/ismej.2015.257 | 2016 | |
| Genetics | Genomic evolution of the class Acidithiobacillia: deep-branching Proteobacteria living in extreme acidic conditions. | Moya-Beltran A, Beard S, Rojas-Villalobos C, Issotta F, Gallardo Y, Ulloa R, Giaveno A, Degli Esposti M, Johnson DB, Quatrini R. | ISME J | 10.1038/s41396-021-00995-x | 2021 | |
| 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 | ||
| Genetics | Comparative Genomic Analysis Reveals the Distribution, Organization, and Evolution of Metal Resistance Genes in the Genus Acidithiobacillus. | Li L, Liu Z, Meng D, Liu X, Li X, Zhang M, Tao J, Gu Y, Zhong S, Yin H. | Appl Environ Microbiol | 10.1128/aem.02153-18 | 2019 | |
| Metabolism | Chemolithotrophic processes in the bacterial communities on the surface of mineral-enriched biochars. | Ye J, Joseph SD, Ji M, Nielsen S, Mitchell DRG, Donne S, Horvat J, Wang J, Munroe P, Thomas T. | ISME J | 10.1038/ismej.2016.187 | 2017 | |
| Phylogeny | Acidiferrobacter thiooxydans, gen. nov. sp. nov.; an acidophilic, thermo-tolerant, facultatively anaerobic iron- and sulfur-oxidizer of the family Ectothiorhodospiraceae. | Hallberg KB, Hedrich S, Johnson DB | Extremophiles | 10.1007/s00792-011-0359-2 | 2011 |
| #1071 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 2392 |
| #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 ) |
| #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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