Acetivibrio thermocellus YS is an anaerobe, thermophilic bacterium that was isolated from hot spring soil sample.
anaerobe thermophilic genome sequence Bacteria|
|
| Domain Bacteria |
| Phylum Bacillota |
| Class Clostridia |
| Order Eubacteriales |
| Family Oscillospiraceae |
| Genus Acetivibrio |
| Species Acetivibrio thermocellus |
| Full scientific name Acetivibrio thermocellus (Viljoen et al. 1926) Tindall 2019 |
| Synonyms (3) |
| BacDive ID | Other strains from Acetivibrio thermocellus (6) | Type strain |
|---|---|---|
| 2729 | A. thermocellus DSM 1237, ATCC 27405, JCM 9322, NCIMB 10682, ... (type strain) | |
| 2728 | A. thermocellus LQ8, DSM 1313 | |
| 2730 | A. thermocellus LQR1, DSM 2360, JCM 9323, ATCC 35609 | |
| 2731 | A. thermocellus JW 20, DSM 4150, ATCC 31549 | |
| 22966 | A. thermocellus AD2, DSM 25992 | |
| 174402 | A. thermocellus DSM 29190, BC 1 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 18805 | ACETIVIBRIO MEDIUM (DSMZ Medium 122) | Medium recipe at MediaDive | Name: ACETIVIBRIO MEDIUM (DSMZ Medium 122) Composition: Cellulose 10.0 g/l (optional) Na2-ß-glycerophosphate x 5 H2O 6.0 g/l K2HPO4 5.5 g/l Cellobiose 5.0 g/l Yeast extract 4.5 g/l MgCl2 x 6 H2O 2.6 g/l KH2PO4 1.43 g/l (NH4)2SO4 1.3 g/l L-Glutathione 0.25 g/l CaCl2 x 2 H2O 0.13 g/l FeSO4 x 7 H2O 0.0011 g/l Sodium resazurin 0.0005 g/l Distilled water |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 18805 | positive | growth | 60 | thermophilic |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Environmental | #Aquatic | #Thermal spring | |
| #Environmental | #Terrestrial | #Soil | |
| #Condition | #Thermophilic (>45°C) | - |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 18805 | hot spring soil sample | WY, Yellowstone National Park | USA | USA | North America |
| @ref | Description | Accession | Assembly level | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 66792 | Acetivibrio thermocellus YS | GCA_000255575 | contig | 1094188 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | yes | 88.00 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 84.00 | no |
| 125439 | gram_stain | BacteriaNetⓘ | variable | 84.00 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | anaerobe | 98.40 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 57.41 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 95.25 | yes |
| 125438 | aerobic | aerobicⓘ | no | 97.94 | yes |
| 125438 | spore-forming | spore-formingⓘ | yes | 83.94 | no |
| 125438 | thermophilic | thermophileⓘ | yes | 68.06 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 77.71 | no |
| Culture collection no. | |
|---|---|
| DSM 25991 | |
| YS |
| #18805 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 25991 |
| #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) . |
| #87212 | Reimer, L.C., Lissin, A.,Schober, I., Witte,J.F., Podstawka, A., Lüken, H., Bunk, B.,Overmann, J.: StrainInfo: A central database for resolving microbial strain identifiers . ( DOI 10.60712/SI-ID397875.1 ) |
| #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 . |
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