Strain identifier
BacDive ID: 11480
Type strain: 
Species: Paenibacillus polymyxa
Strain history: <- CCM <- H. Proom, CN 1417
NCBI tax ID(s): 1406 (species)
version 9.3 (current version)
General
@ref: 28
BacDive-ID: 11480
DSM-Number: 292
keywords: genome sequence, Bacteria, spore-forming, mesophilic
description: Paenibacillus polymyxa DSM 292 is a spore-forming, mesophilic bacterium that was isolated from soil.
NCBI tax id
- NCBI tax id: 1406
- Matching level: species
strain history
- @ref: 28
- history: <- CCM <- H. Proom, CN 1417
doi: 10.13145/bacdive11480.20250331.9.3
Name and taxonomic classification
LPSN
- @ref: 20215
- description: domain/bacteria
- keyword: phylum/bacillota
- domain: Bacteria
- 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
@ref synonym 20215 Clostridium polymyxa 20215 Aerobacillus polymyxa 20215 Paenibacillus jamilae 20215 Bacillus polymyxa
@ref: 28
domain: Bacteria
phylum: Firmicutes
class: Bacilli
order: Bacillales
family: Paenibacillaceae
genus: Paenibacillus
species: Paenibacillus polymyxa
full scientific name: Paenibacillus polymyxa (Prazmowski 1880) Ash et al. 1994
type strain: no
Culture and growth conditions
culture medium
- @ref: 28
- name: NUTRIENT AGAR (DSMZ Medium 1)
- growth: yes
- link: https://mediadive.dsmz.de/medium/1
- composition: 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
culture temp
- @ref: 28
- growth: positive
- type: growth
- temperature: 30
Physiology and metabolism
compound production
- @ref: 28
- compound: inhibitors for glycoside hydrolases
Isolation, sampling and environmental information
isolation
| @ref | sample type |
|---|---|
| 28 | soil |
| 48339 | Soil |
isolation source categories
- Cat1: #Environmental
- Cat2: #Terrestrial
- Cat3: #Soil
Safety information
risk assessment
- @ref: 28
- biosafety level: 1
- biosafety level comment: Risk group (German classification)
Sequence information
Genome sequences
| @ref | description | accession | assembly level | database | NCBI tax ID |
|---|---|---|---|---|---|
| 66792 | Paenibacillus polymyxa DSM 292 | GCA_900406265 | contig | ncbi | 1406 |
| 66792 | Paenibacillus polymyxa strain PPOL1 | 1406.149 | wgs | patric | 1406 |
Genome-based predictions
predictions
| @ref | model | trait | description | prediction | confidence | training_data |
|---|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positive | Positive reaction to Gram-staining | yes | 68.77 | no |
| 125438 | anaerobic | anaerobic | Ability to grow under anoxygenic conditions (including facultative anaerobes) | no | 90.016 | no |
| 125438 | spore-forming | spore-forming | Ability to form endo- or exospores | yes | 89.981 | no |
| 125438 | aerobic | aerobic | Ability to grow under oxygenic conditions (including facultative aerobes) | no | 66.572 | no |
| 125438 | thermophile | thermophilic | Ability to grow at temperatures above or equal to 45°C | no | 95.377 | yes |
| 125438 | motile2+ | flagellated | Ability to perform flagellated movement | yes | 84.648 | no |
| 125439 | BacteriaNet | spore_formation | Ability to form endo- or exospores | yes | 87.7 | |
| 125439 | BacteriaNet | motility | Ability to perform movement | yes | 84 | |
| 125439 | BacteriaNet | gram_stain | Reaction to gram-staining | variable | 86.1 | |
| 125439 | BacteriaNet | oxygen_tolerance | Oxygenic conditions needed for growth | facultative anaerobe | 79.6 |
External links
@ref: 28
culture collection no.: DSM 292, CCM 1609, CCUG 26011, LMG 6320, CN 1417
straininfo link
- @ref: 80714
- straininfo: 1161
literature
| topic | Pubmed-ID | title | authors | journal | DOI | year | mesh | topic2 |
|---|---|---|---|---|---|---|---|---|
| Biotechnology | 30259100 | 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 | Bacillus megaterium/genetics, Bacillus subtilis/genetics, Bacterial Proteins/biosynthesis/genetics, Cellulase/*biosynthesis/genetics, Clostridium thermocellum/enzymology/*genetics, Culture Media/chemistry, Gene Expression Regulation, Bacterial, Genes, Bacterial, Genes, Reporter, Genetic Vectors, Industrial Microbiology, Paenibacillus polymyxa/enzymology/*genetics, *Promoter Regions, Genetic | Enzymology |
| Genetics | 32165383 | 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 |
Reference
| @id | authors | catalogue | doi/url | title |
|---|---|---|---|---|
| 28 | Curators of the DSMZ | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH (DSM 292) | https://www.dsmz.de/collection/catalogue/details/culture/DSM-292 | |
| 20215 | Parte, A.C., Sardà Carbasse, J., Meier-Kolthoff, J.P., Reimer, L.C. and Göker, M. | 10.1099/ijsem.0.004332 | List of Prokaryotic names with Standing in Nomenclature (LPSN) moves to the DSMZ | |
| 48339 | Curators of the CCUG | Culture Collection University of Gothenburg (CCUG) (CCUG 26011) | https://www.ccug.se/strain?id=26011 | |
| 66792 | Julia Koblitz, Joaquim Sardà, Lorenz Christian Reimer, Boyke Bunk, Jörg Overmann | https://diaspora-project.de/progress.html#genomes | Automatically annotated for the DiASPora project (Digital Approaches for the Synthesis of Poorly Accessible Biodiversity Information) | |
| 80714 | Reimer, L.C., Lissin, A.,Schober, I., Witte,J.F., Podstawka, A., Lüken, H., Bunk, B.,Overmann, J. | 10.60712/SI-ID1161.1 | StrainInfo: A central database for resolving microbial strain identifiers | |
| 125438 | Julia Koblitz, Lorenz Christian Reimer, Rüdiger Pukall, Jörg Overmann | 10.1101/2024.08.12.607695 | Predicting bacterial phenotypic traits through improved machine learning using high-quality, curated datasets | |
| 125439 | Philipp Münch, René Mreches, Martin Binder, Hüseyin Anil Gündüz, Xiao-Yin To, Alice McHardy | https://github.com/GenomeNet/deepG | deepG: Deep Learning for Genome Sequence Data. R package version 0.3.1 |