Pilimelia terevasa DSM 43040 is a mesophilic prokaryote that was isolated from soil.
mesophilic genome sequence 16S sequence| @ref 20215 |
|
|
| Domain Bacillati |
| Phylum Actinomycetota |
| Class Actinomycetes |
| Order Micromonosporales |
| Family Micromonosporaceae |
| Genus Pilimelia |
| Species Pilimelia terevasa |
| Full scientific name Pilimelia terevasa Kane 1966 (Approved Lists 1980) |
| @ref | Gram stain | Confidence | |
|---|---|---|---|
| 125439 | positive | 99.8 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 10710 | CZAPEK PEPTONE AGAR (DSMZ Medium 83) | Medium recipe at MediaDive | Name: CZAPEK PEPTONE AGAR (DSMZ Medium 83; with strain-specific modifications) Composition: Sucrose 30.0 g/l Agar 20.0 g/l Peptone 5.0 g/l NaNO3 3.0 g/l K2HPO4 1.0 g/l KCl 0.5 g/l MgSO4 x 7 H2O 0.5 g/l FeSO4 x 7 H2O 0.01 g/l Distilled water |
| @ref | Oxygen tolerance | Confidence | |
|---|---|---|---|
| 125439 | obligate aerobe | 99.9 |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM1464791v1 assembly for Pilimelia terevasa JCM 3091 | contig | 53372 | 62.91 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | yes | 81.60 | no |
| 125439 | motility | BacteriaNetⓘ | no | 83.10 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 99.80 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 99.90 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 85.79 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 92.45 | no |
| 125438 | spore-forming | spore-formingⓘ | yes | 73.82 | no |
| 125438 | aerobic | aerobicⓘ | yes | 85.32 | no |
| 125438 | thermophilic | thermophileⓘ | no | 85.83 | no |
| 125438 | flagellated | motile2+ⓘ | no | 59.00 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Distribution and phylogenetic analysis of family 19 chitinases in Actinobacteria. | Kawase T, Saito A, Sato T, Kanai R, Fujii T, Nikaidou N, Miyashita K, Watanabe T. | Appl Environ Microbiol | 10.1128/aem.70.2.1135-1144.2004 | 2004 |
| #10710 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 43040 |
| #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 ) |
| #20218 | Verslyppe, B., De Smet, W., De Baets, B., De Vos, P., Dawyndt P.: StrainInfo introduces electronic passports for microorganisms.. Syst Appl Microbiol. 37: 42 - 50 2014 ( DOI 10.1016/j.syapm.2013.11.002 , PubMed 24321274 ) |
| #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 ) |
| #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