Corynebacterium deserti GIMN1.010 is a bacterium that was isolated from desert sand.
genome sequence 16S sequence Bacteria| @ref 20215 |
|
|
| Domain Bacteria |
| Phylum Actinomycetota |
| Class Actinomycetes |
| Order Mycobacteriales |
| Family Corynebacteriaceae |
| Genus Corynebacterium |
| Species Corynebacterium deserti |
| Full scientific name Corynebacterium deserti Zhou et al. 2012 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 18077 | TRYPTICASE SOY BROTH AGAR (DSMZ Medium 535) | Medium recipe at MediaDive | Name: TRYPTICASE SOY BROTH AGAR (DSMZ Medium 535) Composition: Trypticase soy broth 30.0 g/l Agar 15.0 g/l Distilled water | ||
| 18077 | TRYPTICASE SOY BROTH AGAR+BLOOD (DSMZ Medium 535a) | Medium recipe at MediaDive | Name: TRYPTICASE SOY BROTH AGAR+BLOOD (DSMZ Medium 535a) Composition: None 50.0 g/l Trypticase soy broth 30.0 g/l Agar 15.0 g/l Distilled water |
| @ref | Growth | Type | Temperature (°C) | |
|---|---|---|---|---|
| 18077 | positive | growth | 37 |
| @ref | Oxygen tolerance | Confidence | |
|---|---|---|---|
| 125439 | facultative anaerobe | 91.238 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Environmental | #Terrestrial | #Desert | |
| #Environmental | #Terrestrial | #Sandy | |
| #Condition | #Xerophilic | - |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 18077 | desert sand | western China | China | CHN | Asia |
| @ref | Description | Assembly level | INSDC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|
| 66792 | ASM127799v1 assembly for Corynebacterium deserti GIMN1.010 | complete | 931089 | 99.06 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 18077 | Corynebacterium deserti strain GIMN1.010 16S ribosomal RNA gene, partial sequence | HQ612241 | 1478 | 931089 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 18077 | 61.7 | thermal denaturation, midpoint method (Tm) |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | facultative anaerobe | 91.24 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 71.78 | no |
| 125439 | motility | BacteriaNetⓘ | no | 95.60 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 73.75 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 89.04 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 95.15 | no |
| 125438 | aerobic | aerobicⓘ | yes | 76.39 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 77.90 | no |
| 125438 | thermophilic | thermophileⓘ | no | 94.50 | no |
| 125438 | flagellated | motile2+ⓘ | no | 91.00 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Corynebacterium defluvii sp. nov., isolated from Sewage. | Yu QL, Yan ZF, He X, Tian FH, Jia CW, Li CT | J Microbiol | 10.1007/s12275-017-6592-3 | 2017 | |
| Phylogeny | Corynebacterium crudilactis sp. nov., isolated from raw cow's milk. | Zimmermann J, Ruckert C, Kalinowski J, Lipski A | Int J Syst Evol Microbiol | 10.1099/ijsem.0.001509 | 2016 | |
| Phylogeny | Corynebacterium deserti sp. nov., isolated from desert sand. | Zhou Z, Yuan M, Tang R, Chen M, Lin M, Zhang W | Int J Syst Evol Microbiol | 10.1099/ijs.0.030429-0 | 2011 |
| #18077 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 45689 |
| #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) . |
| #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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