Chryseobacterium takakiae AG1-2 is a bacterium that was isolated from bryophyte Takakia lepidozioides.
genome sequence 16S sequence Bacteria| @ref 20215 |
|
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| Domain Bacteria |
| Phylum Bacteroidota |
| Class Flavobacteriia |
| Order Flavobacteriales |
| Family Weeksellaceae |
| Genus Chryseobacterium |
| Species Chryseobacterium takakiae |
| Full scientific name Chryseobacterium takakiae Zhao et al. 2015 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 21876 | CASO AGAR (MERCK 105458) (DSMZ Medium 220) | Medium recipe at MediaDive | Name: CASO AGAR (Merck 105458) (DSMZ Medium 220) Composition: Agar 15.0 g/l Casein peptone 15.0 g/l NaCl 5.0 g/l Soy peptone 5.0 g/l Distilled water |
| @ref | Growth | Type | Temperature (°C) | |
|---|---|---|---|---|
| 21876 | positive | growth | 28 |
| @ref | Sample type | Host species | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|---|
| 21876 | bryophyte Takakia lepidozioides | Takakia lepidozioides | Tibet province, Gawalong glacier | China | CHN | Asia |
Global distribution of 16S sequence KC560016 (>99% sequence identity) for Chryseobacterium from Microbeatlas ![]()
| @ref | Biosafety level | Biosafety level comment | |
|---|---|---|---|
| 21876 | 1 | Risk group (German classification) |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | IMG-taxon 2695420944 annotated assembly for Chryseobacterium takakiae DSM 26898 | scaffold | 1302685 | 70.37 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 21876 | Chryseobacterium takakiae strain AG1-2 16S ribosomal RNA gene, partial sequence | KC560016 | 1478 | 1302685 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 21876 | 37.3 | thermal denaturation, midpoint method (Tm) |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 98.80 | no |
| 125439 | motility | BacteriaNetⓘ | no | 81.10 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 99.90 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 96.10 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 97.00 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 97.06 | no |
| 125438 | aerobic | aerobicⓘ | yes | 88.36 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 88.82 | no |
| 125438 | thermophilic | thermophileⓘ | no | 98.08 | no |
| 125438 | flagellated | motile2+ⓘ | no | 89.50 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Genetics | Insights into Evolutionary, Genomic, and Biogeographic Characterizations of Chryseobacterium nepalense Represented by a Polyvinyl Alcohol-Degrading Bacterium, AC3. | Liu X, Wang D, Yin Z, Sun L, Pang S, Liu J, Li W, Cui S, Huang W, Du Y, Xie Z. | Microbiol Spectr | 10.1128/spectrum.02179-22 | 2022 | |
| Phylogeny | Chryseobacterium takakiae sp. nov., a member of the phylum Bacteroidetes isolated from Takakia lepidozioides. | Zhao R, Chen XY, Li XD, Chen ZL, Li YH | Int J Syst Evol Microbiol | 10.1099/ijs.0.065888-0 | 2014 | |
| Phylogeny | Chryseobacterium nepalense sp. nov., isolated from oil-contaminated soil. | Chaudhary DK, Kim J | Int J Syst Evol Microbiol | 10.1099/ijsem.0.001680 | 2017 |
| #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 ) |
| #21876 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 26898 |
| #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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https://doi.org/10.13145/bacdive130331.20251217.10
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