Microbacterium aoyamense KV-492 is a bacterium that was isolated from soil.
genome sequence 16S sequence Bacteria| @ref 20215 |
|
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| Domain Bacteria |
| Phylum Actinomycetota |
| Class Actinomycetes |
| Order Micrococcales |
| Family Microbacteriaceae |
| Genus Microbacterium |
| Species Microbacterium aoyamense |
| Full scientific name Microbacterium aoyamense Kageyama et al. 2006 |
| @ref | Gram stain | Confidence | |
|---|---|---|---|
| 125438 | positive | 92.18 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 8103 | TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92) | Medium recipe at MediaDive | Name: TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92) Composition: Trypticase soy broth 30.0 g/l Agar 15.0 g/l Yeast extract 3.0 g/l Distilled water |
| 67770 | Observationquinones: MK-13, MK-14, MK-12 |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM2315585v1 assembly for Microbacterium aoyamense DSM 19461 | contig | 344166 | 75.21 | ||||
| 124043 | ASM3953018v1 assembly for Microbacterium aoyamense JCM 14900 | contig | 344166 | 73.36 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 8103 | Microbacterium aoyamense gene for 16S rRNA, partial sequence | AB234028 | 1443 | 344166 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 92.18 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 97.18 | no |
| 125438 | aerobic | aerobicⓘ | yes | 89.31 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 75.88 | no |
| 125438 | thermophilic | thermophileⓘ | no | 98.30 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 75.00 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Microbacterium invictum sp. nov., isolated from homemade compost. | Vaz-Moreira I, Lopes AR, Faria C, Sproer C, Schumann P, Nunes OC, Manaia CM | Int J Syst Evol Microbiol | 10.1099/ijs.0.005561-0 | 2009 | |
| Phylogeny | Microbacterium deminutum sp. nov., Microbacterium pumilum sp. nov. and Microbacterium aoyamense sp. nov. | Kageyama A, Takahashi Y, Omura S | Int J Syst Evol Microbiol | 10.1099/ijs.0.64236-0 | 2006 | |
| Phylogeny | Microbacterium kunmingensis sp. nov., an attached bacterium of Microcystis aeruginosa. | Xiao Y, Chen M, Chen J, Mao LN, Peng YR, Gui SS, Zhang BH | J Antibiot (Tokyo) | 10.1038/s41429-022-00568-w | 2022 |
| #8103 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 19461 |
| #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 ) |
| #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) . |
| #67770 | Japan Collection of Microorganism (JCM) ; Curators of the JCM; |
| #124043 | Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy . |
| #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 ) |
| #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/bacdive7431.20260601.11
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BacDive in 2025: the core database for prokaryotic strain data