Microbacterium insulae DS-66 is an aerobe, mesophilic, Gram-positive prokaryote that was isolated from soil.
Gram-positive coccus-shaped aerobe mesophilic genome sequence 16S sequence| @ref 20215 |
|
|
| Domain Bacillati |
| Phylum Actinomycetota |
| Class Actinomycetes |
| Order Micrococcales |
| Family Microbacteriaceae |
| Genus Microbacterium |
| Species Microbacterium insulae |
| Full scientific name Microbacterium insulae Yoon et al. 2009 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 16654 | 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 |
| 29157 | Spore formationno |
| @ref | Murein short key | Type | |
|---|---|---|---|
| 16654 | B06 | B2ß {Gly} [L-Hsr] D-Glu(Hyg)-Gly-D-Orn |
| 67770 | Observationquinones: MK-13, MK-12, MK-14 |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 29157 | 22599 ChEBI | arabinose | + | carbon source | |
| 29157 | 17057 ChEBI | cellobiose | + | carbon source | |
| 29157 | 4853 ChEBI | esculin | + | hydrolysis | |
| 29157 | 28757 ChEBI | fructose | + | carbon source | |
| 29157 | 28260 ChEBI | galactose | + | carbon source | |
| 29157 | 5291 ChEBI | gelatin | + | carbon source | |
| 29157 | 17234 ChEBI | glucose | + | carbon source | |
| 29157 | 17754 ChEBI | glycerol | + | carbon source | |
| 29157 | 17716 ChEBI | lactose | + | carbon source | |
| 29157 | 17306 ChEBI | maltose | + | carbon source | |
| 29157 | 29864 ChEBI | mannitol | + | carbon source | |
| 29157 | 37684 ChEBI | mannose | + | carbon source | |
| 29157 | 37657 ChEBI | methyl D-glucoside | + | carbon source | |
| 29157 | 26546 ChEBI | rhamnose | + | carbon source | |
| 29157 | 17814 ChEBI | salicin | + | carbon source | |
| 29157 | 17992 ChEBI | sucrose | + | carbon source | |
| 29157 | 27082 ChEBI | trehalose | + | carbon source | |
| 29157 | 53424 ChEBI | tween 20 | + | carbon source | |
| 29157 | 53423 ChEBI | tween 40 | + | carbon source | |
| 29157 | 53425 ChEBI | tween 60 | + | carbon source | |
| 29157 | 53426 ChEBI | tween 80 | + | carbon source | |
| 29157 | 18222 ChEBI | xylose | + | carbon source |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 16654 | Microbacterium insulae strain DS-66 16S ribosomal RNA gene, partial sequence | EU239498 | 1447 | 483014 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 76.50 | no |
| 125439 | motility | BacteriaNetⓘ | no | 71.40 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 99.30 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 98.50 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 91.34 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 97.67 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 72.37 | yes |
| 125438 | aerobic | aerobicⓘ | yes | 89.26 | yes |
| 125438 | thermophilic | thermophileⓘ | no | 96.43 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 93.00 | yes |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Microbacterium aureliae sp. nov., a novel actinobacterium isolated from Aurelia aurita, the moon jellyfish. | Kaur G, Mual P, Kumar N, Verma A, Kumar A, Krishnamurthi S, Mayilraj S | Int J Syst Evol Microbiol | 10.1099/ijsem.0.001407 | 2016 | |
| Phylogeny | Microbacterium marinum sp. nov., isolated from deep-sea water. | Zhang L, Xi L, Ruan J, Huang Y | Syst Appl Microbiol | 10.1016/j.syapm.2011.11.004 | 2012 | |
| Phylogeny | Microbacterium arthrosphaerae sp. nov., isolated from the faeces of the pill millipede Arthrosphaera magna Attems. | Kampfer P, Rekha PD, Schumann P, Arun AB, Young CC, Chen WM, Sridhar KR | Int J Syst Evol Microbiol | 10.1099/ijs.0.026401-0 | 2010 | |
| Phylogeny | Microbacterium insulae sp. nov., isolated from soil. | Yoon JH, Schumann P, Kang SJ, Lee CS, Lee SY, Oh TK | Int J Syst Evol Microbiol | 10.1099/ijs.0.007591-0 | 2009 |
| #16654 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 23024 |
| #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 ) |
| #29157 | Barberan A, Caceres Velazquez H, Jones S, Fierer N.: Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information. mSphere 2: 2017 ( DOI 10.1128/mSphere.00237-17 , PubMed 28776041 ) - originally annotated from #25581 (see below) |
| #60213 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 54523 |
| #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; |
| #67771 | Korean Collection for Type Cultures (KCTC) ; Curators of the KCTC; |
| #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 ) |
| #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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BacDive in 2025: the core database for prokaryotic strain data