Metallosphaera hakonensis HO1-1 is a thermophilic prokaryote that was isolated from hot spring.
thermophilic genome sequence 16S sequence| @ref 20215 |
|
|
| Domain Archaea |
| Phylum Thermoproteota |
| Class Thermoprotei |
| Order Sulfolobales |
| Family Sulfolobaceae |
| Genus Metallosphaera |
| Species Metallosphaera hakonensis |
| Full scientific name Metallosphaera hakonensis (Takayanagi et al. 1996) Kurosawa et al. 2003 |
| Synonyms (1) |
| 3197 | Incubation period3-7 days |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 3197 | SULFOLOBUS MEDIUM (DSMZ Medium 88) | Medium recipe at MediaDive | Name: SULFOLOBUS MEDIUM (DSMZ Medium 88) Composition: (NH4)2SO4 1.28713 g/l Yeast extract 0.990099 g/l KH2PO4 0.277228 g/l MgSO4 x 7 H2O 0.247525 g/l CaCl2 x 2 H2O 0.0693069 g/l FeCl3 x 6 H2O 0.019802 g/l Na2B4O7 x 10 H2O 0.00445545 g/l MnCl2 x 4 H2O 0.00178218 g/l ZnSO4 x 7 H2O 0.000217822 g/l CuCl2 x 2 H2O 4.95049e-05 g/l Na2MoO4 x 2 H2O 2.9703e-05 g/l VOSO4 x 2 H2O 2.9703e-05 g/l CoSO4 x 7 H2O 9.90099e-06 g/l Distilled water |
| @ref | Oxygen tolerance | Confidence | |
|---|---|---|---|
| 125439 | anaerobe | 92.9 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Environmental | #Aquatic | #Thermal spring | |
| #Condition | #Thermophilic (>45°C) | - |
Global distribution of 16S sequence D86414 (>99% sequence identity) for Metallosphaera hakonensis subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | Metallosphaera hakonensis strain HO1-1 | complete | 79601 | 99.8 | ||||
| 66792 | ASM320167v2 assembly for Metallosphaera hakonensis JCM 8857 = DSM 7519 HO1-1 | complete | 1293036 | 95.36 | ||||
| 66792 | ASM131582v1 assembly for Metallosphaera hakonensis JCM 8857 = DSM 7519 | contig | 1293036 | 23.8 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | anaerobe | 92.90 | no |
| 125439 | gram_stain | BacteriaNetⓘ | variable | 84.80 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 67.30 | no |
| 125439 | spore_formation | BacteriaNetⓘ | yes | 81.30 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 75.07 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 65.65 | no |
| 125438 | aerobic | aerobicⓘ | no | 59.41 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 89.30 | no |
| 125438 | thermophilic | thermophileⓘ | yes | 78.68 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 87.50 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Genetics | Chalcopyrite bioleaching efficacy by extremely thermoacidophilic archaea leverages balanced iron and sulfur biooxidation. | Manesh MJH, Willard DJ, John KM, Kelly RM. | Bioresour Technol | 10.1016/j.biortech.2024.131198 | 2024 | |
| Complete Genome Sequences of Extremely Thermoacidophilic Metal-Mobilizing Type Strain Members of the Archaeal Family Sulfolobaceae, Acidianus brierleyi DSM-1651, Acidianus sulfidivorans DSM-18786, and Metallosphaera hakonensis DSM-7519. | Counts JA, Vitko NP, Kelly RM. | Microbiol Resour Announc | 10.1128/mra.00831-18 | 2018 | ||
| Species-Specific Recognition of Sulfolobales Mediated by UV-Inducible Pili and S-Layer Glycosylation Patterns. | van Wolferen M, Shajahan A, Heinrich K, Brenzinger S, Black IM, Wagner A, Briegel A, Azadi P, Albers SV. | mBio | 10.1128/mbio.03014-19 | 2020 | ||
| A clade of RHH proteins ubiquitous in Sulfolobales and their viruses regulates cell cycle progression. | Xuyang L, Cristina LM, Laura MA, Xu P. | Nucleic Acids Res | 10.1093/nar/gkad011 | 2023 | ||
| Genetics | Comparative Genomic Analysis Reveals the Metabolism and Evolution of the Thermophilic Archaeal Genus Metallosphaera. | Wang P, Li LZ, Qin YL, Liang ZL, Li XT, Yin HQ, Liu LJ, Liu SJ, Jiang CY. | Front Microbiol | 10.3389/fmicb.2020.01192 | 2020 | |
| Genetics | Phenotype-driven assessment of the ancestral trajectory of sulfur biooxidation in the thermoacidophilic archaea Sulfolobaceae. | Willard DJ, H Manesh MJ, Bing RG, Alexander BH, Kelly RM. | mBio | 10.1128/mbio.01033-24 | 2024 | |
| Enzymology | Enzymes Catalyzing Crotonyl-CoA Conversion to Acetoacetyl-CoA During the Autotrophic CO2 Fixation in Metallosphaera sedula. | Liu L, Huber H, Berg IA. | Front Microbiol | 10.3389/fmicb.2020.00354 | 2020 | |
| Phylogeny | Reclassification of Sulfolobus hakonensis Takayanagi et al. 1996 as Metallosphaera hakonensis comb. nov. based on phylogenetic evidence and DNA G+C content. | Kurosawa N, Itoh YH, Itoh T | Int J Syst Evol Microbiol | 10.1099/ijs.0.02716-0 | 2003 | |
| Phylogeny | Metallosphaera cuprina sp. nov., an acidothermophilic, metal-mobilizing archaeon. | Liu LJ, You XY, Guo X, Liu SJ, Jiang CY | Int J Syst Evol Microbiol | 10.1099/ijs.0.026591-0 | 2010 |
| #3197 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 7519 |
| #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; |
| #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 ) |
You found an error in BacDive? Please tell us about it!
Note that changes will be reviewed and judged. If your changes are legitimate, changes will occur within the next BacDive update. Only proposed changes supported by the according reference will be reviewed. The BacDive team reserves the right to reject proposed changes.
Successfully sent
If you want to cite this particular strain cite the following doi:
https://doi.org/10.13145/bacdive16646.20251217.10
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data