Neoroseomonas oryzicola YC6724 is an aerobe, Gram-negative bacterium that was isolated from rhizosphere of rice under conventional tillage.
Gram-negative aerobe genome sequence 16S sequence Bacteria| @ref 20215 |
|
|
| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Alphaproteobacteria |
| Order Rhodospirillales |
| Family Acetobacteraceae |
| Genus Neoroseomonas |
| Species Neoroseomonas oryzicola |
| Full scientific name Neoroseomonas oryzicola (Chung et al. 2015) Rai et al. 2022 |
| Synonyms (1) |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 21099 | 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 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Host | #Plants | #Herbaceous plants (Grass,Crops) | |
| #Host Body-Site | #Plant | #Rhizosphere |
Global distribution of 16S sequence EU707562 (>99% sequence identity) for Roseomonas oryzicola from Microbeatlas ![]()
| @ref | Biosafety level | Biosafety level comment | |
|---|---|---|---|
| 21099 | 1 | Risk group (German classification) |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM1216313v1 assembly for Neoroseomonas oryzicola KCTC 22478 | scaffold | 535904 | 66.21 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 21099 | Neoroseomonas oryzicola strain YC6724 16S ribosomal RNA gene, partial sequence | EU707562 | 1451 | 535904 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 75.10 | no |
| 125439 | motility | BacteriaNetⓘ | no | 55.40 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 68.20 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 97.40 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 98.31 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 88.47 | no |
| 125438 | aerobic | aerobicⓘ | yes | 82.05 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 84.98 | no |
| 125438 | thermophilic | thermophileⓘ | no | 95.48 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 65.32 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Roseomonas rubea sp. nov., isolated from rice paddy soil. | Lee HJ, Whang KS | Int J Syst Evol Microbiol | 10.1099/ijsem.0.005251 | 2022 | |
| Phylogeny | Roseomonas oryzicola sp. nov., isolated from the rhizosphere of rice (Oryza sativa L.). | Chung EJ, Yoon HS, Kim KH, Jeon CO, Chung YR | Int J Syst Evol Microbiol | 10.1099/ijsem.0.000656 | 2015 |
| #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 ) |
| #21099 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 21423 |
| #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) . |
| #67771 | Korean Collection for Type Cultures (KCTC) ; Curators of the KCTC; |
| #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/bacdive23504.20251217.10
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