Flavobacterium thermophilum G-21 is an aerobe, thermophilic prokaryote that was isolated from hot spring.
aerobe thermophilic genome sequence 16S sequence| @ref 20215 |
|
|
| Domain Pseudomonadati |
| Phylum Bacteroidota |
| Class Flavobacteriia |
| Order Flavobacteriales |
| Family Flavobacteriaceae |
| Genus Flavobacterium |
| Species Flavobacterium thermophilum |
| Full scientific name Flavobacterium thermophilum Loginova and Egorova 1982 |
| 47634 | Incubation period2-3 days |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 20567 | TRYPTONE SOYA BROTH (TSB) (DSMZ Medium 545) | Medium recipe at MediaDive | Name: TRYPTONE SOYA BROTH (TSB) (DSMZ Medium 545) Composition: Casein peptone 17.0 g/l NaCl 5.0 g/l Soy peptone 3.0 g/l D(+)-Glucose 2.5 g/l K2HPO4 2.5 g/l Distilled water |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Environmental | #Aquatic | #Thermal spring | |
| #Condition | #Thermophilic (>45°C) | - |
Global distribution of 16S sequence HF558369 (>99% sequence identity) for Anoxybacillus from Microbeatlas ![]()
| @ref | Biosafety level | Biosafety level comment | |
|---|---|---|---|
| 20567 | 1 | Risk group (German classification) |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | 51354_H01 assembly for [Flavobacterium] thermophilum NCTC11526 | contig | 1414643 | 50.72 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 20567 | [Flavobacterium] thermophilum partial 16S rRNA gene, type strain CCUG 22402T | HF558369 | 1529 | 1414643 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | yes | 82.50 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 79.60 | no |
| 125439 | gram_stain | BacteriaNetⓘ | variable | 87.30 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate anaerobe | 64.00 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 78.11 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 95.96 | yes |
| 125438 | spore-forming | spore-formingⓘ | yes | 91.99 | no |
| 125438 | aerobic | aerobicⓘ | yes | 82.25 | yes |
| 125438 | thermophilic | thermophileⓘ | yes | 66.17 | no |
| 125438 | flagellated | motile2+ⓘ | yes | 83.35 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Bacterial diversity in 110 thermal hot springs of Indian Himalayan Region (IHR). | Verma J, Sourirajan A, Dev K. | 3 Biotech | 10.1007/s13205-022-03270-8 | 2022 | ||
| Microbial diversity in the vaginal microbiota and its link to pregnancy outcomes. | Baud A, Hillion KH, Plainvert C, Tessier V, Tazi A, Mandelbrot L, Poyart C, Kennedy SP. | Sci Rep | 10.1038/s41598-023-36126-z | 2023 | ||
| Analyses of competent and non-competent subpopulations of Bacillus subtilis reveal yhfW, yhxC and ncRNAs as novel players in competence. | Boonstra M, Schaffer M, Sousa J, Morawska L, Holsappel S, Hildebrandt P, Sappa PK, Rath H, de Jong A, Lalk M, Mader U, Volker U, Kuipers OP. | Environ Microbiol | 10.1111/1462-2920.15005 | 2020 | ||
| Phylogeny | A comparative analysis of extreme thermophilic bacteria belonging to the genus Thermus. | Degryse E, Glansdorff N, Pierard A. | Arch Microbiol | 10.1007/bf00402307 | 1978 |
| #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 ) |
| #20567 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 19814 |
| #47634 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 22402 |
| #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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