Luteibacter yeojuensis R2A 16-10 is an aerobe, mesophilic prokaryote that was isolated from soil.
aerobe mesophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Gammaproteobacteria |
| Order Lysobacterales |
| Family Rhodanobacteraceae |
| Genus Luteibacter |
| Species Luteibacter yeojuensis |
| Full scientific name Luteibacter yeojuensis (Kim et al. 2006) Kämpfer et al. 2009 |
| Synonyms (1) |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 7115 | R2A MEDIUM (DSMZ Medium 830) | Medium recipe at MediaDive | Name: R2A MEDIUM (DSMZ Medium 830) Composition: Agar 15.0 g/l Casamino acids 0.5 g/l Starch 0.5 g/l Glucose 0.5 g/l Proteose peptone 0.5 g/l Yeast extract 0.5 g/l K2HPO4 0.3 g/l Na-pyruvate 0.3 g/l MgSO4 x 7 H2O 0.05 g/l Distilled water |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 7115 | positive | growth | 28 | mesophilic |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM1174287v1 assembly for Luteibacter yeojuensis DSM 17673 | contig | 345309 | 78.5 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 7115 | Dyella yeojuensis strain R2A16-10 16S ribosomal RNA gene, partial sequence | DQ181549 | 1478 | 345309 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 97.90 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 80.10 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 97.90 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 95.70 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 98.99 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 98.67 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 85.45 | no |
| 125438 | aerobic | aerobicⓘ | yes | 84.40 | no |
| 125438 | thermophilic | thermophileⓘ | no | 97.49 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 70.81 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Description of Luteibacter aegosomatis sp. nov., Luteibacter aegosomaticola sp. nov., and Luteibacter aegosomatissinici sp. nov. isolated from the Intestines of Aegosoma sinicum Larvae. | Joe HI, Choi JW, Lee JY, Sung H, Jeong SW, Jeong YS, Lee JY, Bae JW. | J Microbiol | 10.1007/s12275-023-00051-7 | 2023 | ||
| Phylogeny | Luteibacter jiangsuensis sp. nov.: a methamidophos-degrading bacterium isolated from a methamidophos-manufacturing factory. | Wang L, Wang GL, Li SP, Jiang JD | Curr Microbiol | 10.1007/s00284-010-9707-1 | 2010 | |
| Phylogeny | Luteibacter anthropi sp. nov., isolated from human blood, and reclassification of Dyella yeojuensis Kim et al. 2006 as Luteibacter yeojuensis comb. nov. | Kampfer P, Lodders N, Falsen E | Int J Syst Evol Microbiol | 10.1099/ijs.0.009100-0 | 2009 | |
| Phylogeny | Dyella ginsengisoli sp. nov., isolated from soil of a ginseng field in South Korea. | Jung HM, Ten LN, Kim KH, An DS, Im WT, Lee ST | Int J Syst Evol Microbiol | 10.1099/ijs.0.64514-0 | 2009 | |
| Phylogeny | Dyella yeojuensis sp. nov., isolated from greenhouse soil in Korea. | Kim BY, Weon HY, Lee KH, Seok SJ, Kwon SW, Go SJ, Stackebrandt E | Int J Syst Evol Microbiol | 10.1099/ijs.0.64175-0 | 2006 |
| #7115 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 17673 |
| #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 ) |
| #61422 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 57695 |
| #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) . |
| #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/bacdive17464.20251217.10
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BacDive in 2025: the core database for prokaryotic strain data