Dissulfurimicrobium hydrothermale Sh68 is an anaerobe, chemoautolithotroph, Gram-negative bacterium that was isolated from A terrestrial hydrothermal pond 'Kuchonnyi' at Uzon Caldera.
Gram-negative motile rod-shaped anaerobe chemoautolithotroph genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Deltaproteobacteria |
| Order [Deltaproteobacteria, not assigned to order] |
| Family [Deltaproteobacteria, not assigned to family] |
| Genus Dissulfurimicrobium |
| Species Dissulfurimicrobium hydrothermale |
| Full scientific name Dissulfurimicrobium hydrothermale Slobodkin et al. 2016 |
| 43784 | Oxygen toleranceanaerobe |
| 43784 | Typechemoautolithotroph |
| @ref | Salt | Growth | Tested relation | Concentration | |
|---|---|---|---|---|---|
| 43784 | NaCl | positive | growth | 0-2.3 %(w/v) |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 43784 | 85115 ChEBI | anthraquinone-2,6-disulfonic acid | - | reduction | |
| 43784 | 22599 ChEBI | arabinose | - | fermentation | |
| 43784 | 16526 ChEBI | carbon dioxide | + | carbon source | |
| 43784 | 15379 ChEBI | dioxygen | - | reduction | |
| 43784 | 33403 ChEBI | elemental sulfur | + | energy source | |
| 43784 | 31605 ChEBI | ferric citrate | - | reduction | |
| 43784 | ferrihydrite | - | reduction | ||
| 43784 | 28757 ChEBI | fructose | - | fermentation | |
| 43784 | 29806 ChEBI | fumarate | - | reduction | |
| 43784 | 17234 ChEBI | glucose | - | fermentation | |
| 43784 | 17306 ChEBI | maltose | - | fermentation | |
| 43784 | 17632 ChEBI | nitrate | - | reduction | |
| 43784 | peptone | - | fermentation | ||
| 43784 | 15361 ChEBI | pyruvate | - | fermentation | |
| 43784 | 30031 ChEBI | succinate | + | growth | |
| 43784 | 17992 ChEBI | sucrose | - | fermentation | |
| 43784 | 16189 ChEBI | sulfate | - | reduction |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Condition | #Thermophilic (>45°C) | - | |
| #Environmental | #Aquatic | #Pond (small) | |
| #Environmental | #Terrestrial | - |
Global distribution of 16S sequence KT159733 (>99% sequence identity) for Dissulfurimicrobium hydrothermale subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM2202615v1 assembly for Dissulfurimicrobium hydrothermale Sh68 | complete | 1750598 | 98.2 |
| @ref | Description | Accession | Database | |
|---|---|---|---|---|
| 43784 | Dissulfurimicrobium hydrothermale strain Sh68 16S ribosomal RNA gene, partial sequence | KT159733 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 43784 | 49 | thermal denaturation, midpoint method (Tm) |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 97.47 | yes |
| 125438 | anaerobic | anaerobicⓘ | yes | 85.53 | no |
| 125438 | aerobic | aerobicⓘ | no | 86.90 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 86.67 | no |
| 125438 | thermophilic | thermophileⓘ | yes | 69.18 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 66.22 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Complex bacterial diversity of Guaymas Basin hydrothermal sediments revealed by synthetic long-read sequencing (LoopSeq). | Hinkle JE, Chanton JP, Moynihan MA, Ruff SE, Teske A. | Front Microbiol | 10.3389/fmicb.2024.1491488 | 2024 | |
| Genetics | Genetic Potential of Dissulfurimicrobium hydrothermale, an Obligate Sulfur-Disproportionating Thermophilic Microorganism. | Yvenou S, Allioux M, Slobodkin A, Slobodkina G, Jebbar M, Alain K. | Microorganisms | 10.3390/microorganisms10010060 | 2021 | |
| Physiological and comparative proteomic characterization of Desulfolithobacter dissulfuricans gen. nov., sp. nov., a novel mesophilic, sulfur-disproportionating chemolithoautotroph from a deep-sea hydrothermal vent. | Hashimoto Y, Shimamura S, Tame A, Sawayama S, Miyazaki J, Takai K, Nakagawa S. | Front Microbiol | 10.3389/fmicb.2022.1042116 | 2022 | ||
| Phylogeny | Dissulfurirhabdus thermomarina gen. nov., sp. nov., a thermophilic, autotrophic, sulfite-reducing and disproportionating deltaproteobacterium isolated from a shallow-sea hydrothermal vent. | Slobodkina GB, Kolganova TV, Kopitsyn DS, Viryasov MB, Bonch-Osmolovskaya EA, Slobodkin AI. | Int J Syst Evol Microbiol | 10.1099/ijsem.0.001083 | 2016 | |
| Phylogeny | Dissulfurimicrobium hydrothermale gen. nov., sp. nov., a thermophilic, autotrophic, sulfur-disproportionating deltaproteobacterium isolated from a hydrothermal pond. | Slobodkin AI, Slobodkina GB, Panteleeva AN, Chernyh NA, Novikov AA, Bonch-Osmolovskaya EA | Int J Syst Evol Microbiol | 10.1099/ijsem.0.000828 | 2015 |
| #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 ) |
| #43784 | A. I. Slobodkin, G. B. Slobodkina, A. N. Panteleeva, N. A. Chernyh, A. A. Novikov, E. A. Bonch-Osmolovskaya: Dissulfurimicrobium hydrothermale gen. nov., sp. nov., a thermophilic, autotrophic, sulfur-disproportionating deltaproteobacterium isolated from a hydrothermal pond. IJSEM 66: 1022 - 1026 2016 ( DOI 10.1099/ijsem.0.000828 , PubMed 26646853 ) |
| #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 ) |
| #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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