Thermoanaerobacter thermohydrosulfuricus WC1 is an anaerobe bacterium that was isolated from decaying woodchip compost.
anaerobe genome sequence 16S sequence Bacteria| @ref 20215 |
|
|
| Domain Bacteria |
| Phylum Bacillota |
| Class Clostridia |
| Order Thermoanaerobacterales |
| Family Thermoanaerobacteraceae |
| Genus Thermoanaerobacter |
| Species Thermoanaerobacter thermohydrosulfuricus |
| Full scientific name Thermoanaerobacter thermohydrosulfuricus (Klaushofer and Parkkinen 1965) Lee et al. 1993 |
| Synonyms (2) |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 18935 | THERMOANAEROBACTER MEDIUM (DSMZ Medium 61) | Medium recipe at MediaDive | Name: THERMOANAEROBACTER MEDIUM (DSMZ Medium 61) Composition: Sucrose 10.0 g/l Tryptone 10.0 g/l Yeast extract 2.0 g/l Na2SO3 0.2 g/l FeSO4 x 7 H2O 0.2 g/l Na2S2O3 x 5 H2O 0.08 g/l Sodium resazurin 0.0005 g/l Distilled water |
| @ref | Growth | Type | Temperature (°C) | |
|---|---|---|---|---|
| 18935 | positive | growth | 60 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Engineered | #Biodegradation | #Composting | |
| #Host | #Plants | #Decomposing plant | |
| #Host Body Product | #Plant | #Timber |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 18935 | decaying woodchip compost | Quebec, Arundel | Canada | CAN | North America |
Global distribution of 16S sequence HM585213 (>99% sequence identity) for Thermoanaerobacter from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | TthWC1 draft genome1 assembly for Thermoanaerobacter thermohydrosulfuricus WC1 | scaffold | 1198630 | 64.39 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 18935 | Thermoanaerobacter thermohydrosulfuricus strain WC1 16S ribosomal RNA gene, partial sequence | HM585213 | 1658 | 1198630 |
| 18935 | GC-content (mol%)34.35 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | yes | 85.10 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 83.00 | no |
| 125439 | gram_stain | BacteriaNetⓘ | variable | 85.00 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | anaerobe | 99.60 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 52.35 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 96.35 | no |
| 125438 | aerobic | aerobicⓘ | no | 96.51 | yes |
| 125438 | spore-forming | spore-formingⓘ | yes | 79.23 | no |
| 125438 | thermophilic | thermophileⓘ | yes | 76.74 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 73.83 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Metabolism | Thermoanaerobacter thermohydrosulfuricus WC1 shows protein complement stability during fermentation of key lignocellulose-derived substrates. | Verbeke TJ, Spicer V, Krokhin OV, Zhang X, Schellenberg JJ, Fristensky B, Wilkins JA, Levin DB, Sparling R. | Appl Environ Microbiol | 10.1128/aem.03555-13 | 2014 |
| #18935 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 26960 |
| #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) . |
| #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/bacdive23329.20251217.10
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data