Microbacterium murale 01-Gi-001 is an aerobe, Gram-positive, rod-shaped bacterium that was isolated from indoor wall colonized with moulds.
Gram-positive rod-shaped aerobe genome sequence 16S sequence Bacteria| @ref 20215 |
|
|
| Domain Bacteria |
| Phylum Actinomycetota |
| Class Actinomycetes |
| Order Micrococcales |
| Family Microbacteriaceae |
| Genus Microbacterium |
| Species Microbacterium murale |
| Full scientific name Microbacterium murale Kämpfer et al. 2012 |
| BacDive ID | Other strains from Microbacterium murale (1) | Type strain |
|---|---|---|
| 100903 | M. murale SF001449(FSU), |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 16133 | 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 |
| 30509 | Spore formationno |
| @ref | Murein short key | Type | |
|---|---|---|---|
| 16133 | B05 | B2ß {Gly} [L-Hsr] D-Glu-D-Orn |
| 67770 | Observationquinones: MK-13, MK-12 |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 30509 | 37054 ChEBI | 3-hydroxybutyrate | + | carbon source | |
| 30509 | 16449 ChEBI | alanine | + | carbon source | |
| 30509 | 22599 ChEBI | arabinose | + | carbon source | |
| 30509 | 35391 ChEBI | aspartate | + | carbon source | |
| 30509 | 17057 ChEBI | cellobiose | + | carbon source | |
| 30509 | 4853 ChEBI | esculin | + | hydrolysis | |
| 30509 | 28757 ChEBI | fructose | + | carbon source | |
| 30509 | 28260 ChEBI | galactose | + | carbon source | |
| 30509 | 24265 ChEBI | gluconate | + | carbon source | |
| 30509 | 17234 ChEBI | glucose | + | carbon source | |
| 30509 | 27570 ChEBI | histidine | + | carbon source | |
| 30509 | 24996 ChEBI | lactate | + | carbon source | |
| 30509 | 25017 ChEBI | leucine | + | carbon source | |
| 30509 | 25115 ChEBI | malate | + | carbon source | |
| 30509 | 17306 ChEBI | maltose | + | carbon source | |
| 30509 | 37684 ChEBI | mannose | + | carbon source | |
| 30509 | 506227 ChEBI | N-acetylglucosamine | + | carbon source | |
| 30509 | 18401 ChEBI | phenylacetate | + | carbon source | |
| 30509 | 28044 ChEBI | phenylalanine | + | carbon source | |
| 30509 | 17148 ChEBI | putrescine | + | carbon source | |
| 30509 | 15361 ChEBI | pyruvate | + | carbon source | |
| 30509 | 33942 ChEBI | ribose | + | carbon source | |
| 30509 | 17992 ChEBI | sucrose | + | carbon source | |
| 30509 | 27082 ChEBI | trehalose | + | carbon source | |
| 30509 | 18222 ChEBI | xylose | + | carbon source |
Global distribution of 16S sequence HE585693 (>99% sequence identity) for Microbacterium from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM1463518v1 assembly for Microbacterium murale CCM 7640 | scaffold | 1081040 | 75.46 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 16133 | Microbacterium murale partial 16S rRNA gene, type strain 01-Gi-001T | HE585693 | 1356 | 1081040 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 59.30 | no |
| 125439 | motility | BacteriaNetⓘ | no | 76.90 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 98.70 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 99.70 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 89.33 | yes |
| 125438 | anaerobic | anaerobicⓘ | no | 98.24 | yes |
| 125438 | aerobic | aerobicⓘ | yes | 86.47 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 76.67 | yes |
| 125438 | thermophilic | thermophileⓘ | no | 95.92 | no |
| 125438 | flagellated | motile2+ⓘ | no | 77.00 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Microbacterium shaanxiense sp. nov., isolated from the nodule surface of soybean. | Peng S, Dongying L, Bingxin Y, Mingjun L, Gehong W | Int J Syst Evol Microbiol | 10.1099/ijs.0.000116 | 2015 | |
| Phylogeny | Microbacterium petrolearium sp. nov., isolated from an oil-contaminated water sample. | Wang H, Xiang T, Wang Y, Song J, Zhai Y, Chen X, Li Y, Zhao B, Zhao B, Ruan Z | Int J Syst Evol Microbiol | 10.1099/ijs.0.061119-0 | 2014 | |
| Phylogeny | Microbacterium murale sp. nov., isolated from an indoor wall. | Kampfer P, Schafer J, Lodders N, Martin K | Int J Syst Evol Microbiol | 10.1099/ijs.0.037705-0 | 2011 |
| #16133 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 22178 |
| #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 ) |
| #26841 | IJSEM 2669 2012 ( DOI 10.1099/ijs.0.037705-0 , PubMed 22199224 ) |
| #30509 | 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 #26841 |
| #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; |
| #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/bacdive7465.20251217.10
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BacDive in 2025: the core database for prokaryotic strain data