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Genome reduction in Paenibacillus polymyxa DSM 365 for chassis development
Giulia Ravagnan1, Janne Lesemann1, Moritz-Fabian Müller2
1Institute of Molecular Microbiology and Biotechnology, University of Münster, Münster, Germany.
We present the first complete genome sequence of Paenibacillus polymyxa DSM 365, a robust microbe for biotechnology. Genome reduction strategies were developed, creating viable chassis variants for enhanced bioproduction.
Area of Science:
- Microbial biotechnology and synthetic biology
- Genomics and genome engineering
Background:
- Paenibacillus polymyxa DSM 365 is a metabolically versatile microbe with potential for biotechnological applications.
- Development of robust microbial platforms is crucial for replacing fossil-based processes.
- A complete genome sequence is essential for engineering Paenibacillus polymyxa into a microbial chassis.
Purpose of the Study:
- To report the first complete genome sequence of Paenibacillus polymyxa DSM 365.
- To engineer genome-reduced variants of Paenibacillus polymyxa for enhanced bioproduction.
- To validate the suitability of engineered strains for further genetic modification.
Main Methods:
- Whole-genome sequencing and assembly of Paenibacillus polymyxa DSM 365.
- Construction of single knock-out mutants and genome-reduced variants (GR1, GR2).
- Evaluation of growth characteristics and production titers of engineered strains.
Main Results:
- A closed genome sequence for Paenibacillus polymyxa DSM 365 was established (5,889,536 bp).
- Two genome-reduced variants (GR1 and GR2) were successfully created with reduced genome sizes (3.0% and 0.6%).
- Engineered variants exhibited wild-type growth and unaffected production of 2,3-butanediol and exopolysaccharides.
Conclusions:
- The complete genome sequence provides a foundation for Paenibacillus polymyxa DSM 365 as a microbial chassis.
- Genome reduction strategies yield viable chassis variants suitable for industrial biotechnology.
- Engineered strains are validated for further genetic engineering and bioproduction optimization.
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