Thermus caliditerrae DSM 25901 is a bacterium that was isolated from geothermally heated sediment with some water.
genome sequence 16S sequence Bacteria| @ref 20215 |
|
|
| Domain Bacteria |
| Phylum Deinococcota |
| Class Deinococci |
| Order Thermales |
| Family Thermaceae |
| Genus Thermus |
| Species Thermus caliditerrae |
| Full scientific name Thermus caliditerrae Ming et al. 2014 |
| 20870 | Incubation period1-2 days |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 20870 | THERMUS MEDIUM (DSMZ Medium 1722) | Medium recipe at MediaDive | Name: T5 MEDIUM modified (DSMZ Medium 1722) Composition: Agar 20.0 g/l Yeast extract 2.0 g/l Starch 1.0 g/l Glucose 1.0 g/l Tryptone 0.5 g/l Distilled water |
| @ref | Growth | Type | Temperature (°C) | |
|---|---|---|---|---|
| 20870 | positive | growth | 65 |
| @ref | Oxygen tolerance | Confidence | |
|---|---|---|---|
| 125439 | facultative anaerobe | 99.9 |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | Latitude | Longitude | |
|---|---|---|---|---|---|---|---|---|
| 20870 | geothermally heated sediment with some water | Yunnan province, Tengchong county, Hydrothermal Explosion area (Shuirebaozhaqu, 24.95014° N 98.43743° E) | China | CHN | Asia | 24.9501 | 98.4374 24.9501/98.4374 |
Global distribution of 16S sequence KC852874 (>99% sequence identity) for Thermus caliditerrae from Microbeatlas ![]()
| @ref | Biosafety level | Biosafety level comment | |
|---|---|---|---|
| 20870 | 1 | Risk group (German classification) |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM2146252v1 assembly for Thermus caliditerrae YIM 77925 | contig | 1330700 | 69.77 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 20870 | Thermus caliditerrae strain YIM 77925 16S ribosomal RNA gene, partial sequence | KC852874 | 1545 | 1330700 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 20870 | 65.6 | high performance liquid chromatography (HPLC) |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 55.70 | no |
| 125439 | motility | BacteriaNetⓘ | no | 67.60 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 78.40 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | facultative anaerobe | 99.90 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 76.40 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 81.48 | no |
| 125438 | aerobic | aerobicⓘ | yes | 74.25 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 72.12 | no |
| 125438 | thermophilic | thermophileⓘ | yes | 77.82 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 78.76 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| High-Quality Draft Genomes from Thermus caliditerrae YIM 77777 and T. tengchongensis YIM 77401, Isolates from Tengchong, China. | Mefferd CC, Zhou EM, Yu TT, Ming H, Murugapiran SK, Huntemann M, Clum A, Pillay M, Palaniappan K, Varghese N, Mikhailova N, Stamatis D, Reddy TB, Ngan CY, Daum C, Duffy K, Shapiro N, Markowitz V, Ivanova N, Kyrpides N, Williams AJ, Woyke T, Li WJ, Hedlund BP. | Genome Announc | 10.1128/genomea.00312-16 | 2016 | ||
| Phylogeny | Thermus thermamylovorans sp. nov., isolated from a hot spring. | Ming H, Zhao ZL, Ji WL, Ding CL, Cheng LJ, Niu MM, Li M, Yi BF, Xia TT, Nie GX | Int J Syst Evol Microbiol | 10.1099/ijsem.0.003965 | 2020 | |
| Phylogeny | Thermus caldilimi sp. nov., a thermophilic bacterium isolated from a geothermal area. | Li MM, Xian WD, Zhang XT, Yin YR, Zhou EM, Ding YP, Liu L, Fang BZ, Li WJ | Antonie Van Leeuwenhoek | 10.1007/s10482-019-01309-0 | 2019 | |
| Phylogeny | Thermus amyloliquefaciens sp. nov., isolated from a hot spring sediment sample. | Yu TT, Ming H, Yao JC, Zhou EM, Park DJ, Hozzein WN, Kim CJ, Wadaan MAM, Li WJ | Int J Syst Evol Microbiol | 10.1099/ijs.0.000289 | 2015 | |
| Phylogeny | Thermus caliditerrae sp. nov., a novel thermophilic species isolated from a geothermal area. | Ming H, Yin YR, Li S, Nie GX, Yu TT, Zhou EM, Liu L, Dong L, Li WJ | Int J Syst Evol Microbiol | 10.1099/ijs.0.056838-0 | 2013 |
| #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 ) |
| #20870 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 25901 |
| #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 ) |
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