Microbacterium enclense NIO-1002 is a mesophilic, Gram-positive, rod-shaped prokaryote that was isolated from marine sediment.
Gram-positive rod-shaped mesophilic genome sequence 16S sequence| @ref 20215 |
|
|
| Domain Bacillati |
| Phylum Actinomycetota |
| Class Actinomycetes |
| Order Micrococcales |
| Family Microbacteriaceae |
| Genus Microbacterium |
| Species Microbacterium enclense |
| Full scientific name Microbacterium enclense Mawlankar et al. 2015 |
Global distribution of 16S sequence JF421612 (>99% sequence identity) for Microbacterium from Microbeatlas ![]()
| @ref | Biosafety level | Biosafety level comment | |
|---|---|---|---|
| 119024 | 1 | Risk group (French classification) |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | IMG-taxon 2616644834 annotated assembly for Microbacterium enclense NIO-1002 | scaffold | 993073 | 74.08 | ||||
| 66792 | ASM145695v1 assembly for Microbacterium enclense NIO-1002 | scaffold | 993073 | 74.08 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 22580 | Microbacterium enclense strain NIO-1002 16S ribosomal RNA gene, partial sequence | JF421612 | 1414 | 993073 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 22580 | 66.5 | high performance liquid chromatography (HPLC) |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 68.60 | no |
| 125439 | motility | BacteriaNetⓘ | no | 69.20 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 96.00 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 96.80 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 91.79 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 98.25 | no |
| 125438 | aerobic | aerobicⓘ | yes | 90.24 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 76.50 | no |
| 125438 | thermophilic | thermophileⓘ | no | 99.00 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 94.00 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Microbacterium enclense sp. nov., isolated from sediment sample. | Mawlankar RR, Mual P, Sonalkar VV, Thorat MN, Verma A, Srinivasan K, Dastager SG | Int J Syst Evol Microbiol | 10.1099/ijs.0.000221 | 2015 | |
| Phylogeny | Microbacterium zeae sp. nov., an endophytic bacterium isolated from maize stem. | Gao JL, Sun P, Wang XM, Lv FY, Sun JG | Antonie Van Leeuwenhoek | 10.1007/s10482-017-0837-3 | 2017 |
| #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 ) |
| #22580 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 25125 |
| #35085 | ; Curators of the CIP; |
| #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) . |
| #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 . |
| #119024 | Collection of Institut Pasteur ; Curators of the CIP; CIP 110922 |
| #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