Paenibacillus polymyxa DSM 292 is a mesophilic prokaryote that was isolated from soil.
mesophilic genome sequence| @ref 20215 |
|
|
| Domain Bacillati |
| Phylum Bacillota |
| Class Bacilli |
| Order Caryophanales |
| Family Paenibacillaceae |
| Genus Paenibacillus |
| Species Paenibacillus polymyxa |
| Full scientific name Paenibacillus polymyxa (Prazmowski 1880) Ash et al. 1994 |
| Synonyms (4) |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 28 | NUTRIENT AGAR (DSMZ Medium 1) | Medium recipe at MediaDive | Name: NUTRIENT AGAR (DSMZ Medium 1) Composition: Agar 15.0 g/l Peptone 5.0 g/l Meat extract 3.0 g/l Distilled water |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 28 | positive | growth | 30 | mesophilic |
| 28 | Compoundinhibitors for glycoside hydrolases |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|
| 66792 | PPOLYM89 assembly for Paenibacillus polymyxa DSM 292 | contig | 1406 | 75.26 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | yes | 87.70 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 84.00 | no |
| 125439 | gram_stain | BacteriaNetⓘ | variable | 86.10 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | facultative anaerobe | 79.60 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 68.77 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 90.02 | no |
| 125438 | spore-forming | spore-formingⓘ | yes | 89.98 | no |
| 125438 | aerobic | aerobicⓘ | no | 66.57 | no |
| 125438 | thermophilic | thermophileⓘ | no | 95.38 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 84.65 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| MALDI-TOF as a powerful tool for identifying and differentiating closely related microorganisms: the strange case of three reference strains of Paenibacillus polymyxa. | Lebano I, Fracchetti F, Vigni ML, Mejia JF, Felis G, Lampis S. | Sci Rep | 10.1038/s41598-023-50010-w | 2024 | ||
| Genetics | Pangenome analysis of Paenibacillus polymyxa strains reveals the existence of multiple and functionally distinct Paenibacillus species. | Maggi F, Giuliodori AM, Brandi A, Cimarelli L, Alcantara R, Pallotti S, Amantini C, Petrelli D, Fabbretti A, Spurio R, Napolioni V. | Appl Environ Microbiol | 10.1128/aem.01740-24 | 2024 | |
| Genetics | Genomic diversity in Paenibacillus polymyxa: unveiling distinct species groups and functional variability. | Wallner A, Antonielli L, Mesguida O, Rey P, Compant S. | BMC Genomics | 10.1186/s12864-024-10610-w | 2024 | |
| Chronicle of a Soil Bacterium: Paenibacillus polymyxa E681 as a Tiny Guardian of Plant and Human Health. | Jeong H, Choi SK, Ryu CM, Park SH. | Front Microbiol | 10.3389/fmicb.2019.00467 | 2019 | ||
| Isolation and Characterization of Bacteria Colonizing Acartia tonsa Copepod Eggs and Displaying Antagonist Effects against Vibrio anguillarum, Vibrio alginolyticus and Other Pathogenic Strains. | Zidour M, Chevalier M, Belguesmia Y, Cudennec B, Grard T, Drider D, Souissi S, Flahaut C. | Front Microbiol | 10.3389/fmicb.2017.01919 | 2017 | ||
| Characterization of Two alpha-l-Arabinofuranosidases from Acetivibrio mesophilus and Their Synergistic Effect in Degradation of Arabinose-Containing Substrates. | Liu Y, Vanderhaeghen S, Feiler W, Angelov A, Baudrexl M, Zverlov V, Liebl W. | Microorganisms | 10.3390/microorganisms9071467 | 2021 | ||
| Sequence heterogeneities of genes encoding 16S rRNAs in Paenibacillus polymyxa detected by temperature gradient gel electrophoresis. | Nubel U, Engelen B, Felske A, Snaidr J, Wieshuber A, Amann RI, Ludwig W, Backhaus H. | J Bacteriol | 10.1128/jb.178.19.5636-5643.1996 | 1996 | ||
| Genetics | Draft Genome Sequence of Paenibacillus polymyxa DSM 292, a Gram-Positive, Spore-Forming Soil Bacterium with High Biotechnological Potential. | Heinze S, Lagkouvardos I, Liebl W, Schwarz WH, Kornberger P, Zverlov VV | Microbiol Resour Announc | 10.1128/MRA.00071-20 | 2020 | |
| Biotechnology | Evaluation of promoter sequences for the secretory production of a Clostridium thermocellum cellulase in Paenibacillus polymyxa. | Heinze S, Zimmermann K, Ludwig C, Heinzlmeir S, Schwarz WH, Zverlov VV, Liebl W, Kornberger P | Appl Microbiol Biotechnol | 10.1007/s00253-018-9369-7 | 2018 |
| #28 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 292 |
| #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 ) |
| #48339 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 26011 |
| #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 ) |
You found an error in BacDive? Please tell us about it!
Note that changes will be reviewed and judged. If your changes are legitimate, changes will occur within the next BacDive update. Only proposed changes supported by the according reference will be reviewed. The BacDive team reserves the right to reject proposed changes.
Successfully sent
If you want to cite this particular strain cite the following doi:
https://doi.org/10.13145/bacdive11480.20251217.10
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data