Microbial BiotechnologyBioengineeringPeer-reviewed journal article
An initial genome editing toolset for Caldimonas thermodepolymerans, the first model of thermophilic polyhydroxyalkanoates producer
Anastasiia Grybchuk‐IeremenkoiD, Kristýna LipovskáiD, Xenie KouřilováiD, Stanislav ObručaiD, Pavel DvořákiD
Abstract
The limited number of well-characterized model bacteria cannot address all the challenges in a circular bioeconomy. Therefore, there is a growing demand for new production strains with enhanced resistance to extreme conditions, versatile metabolic capabilities, and the ability to utilize cost-effective renewable resources while efficiently generating attractive biobased products. Particular thermophilic microorganisms fulfill these requirements. Non-virulent Gram-negative Caldimonas thermodepolymerans DSM15344 is one such attractive thermophile that efficiently converts a spectrum of plant biomass sugars into high quantities of polyhydroxyalkanoates (PHA) - a fully biodegradable substitutes for synthetic plastics. However, to enhance its biotechnological potential, the bacterium needs to be "domesticated". In this study we established effective homologous recombination and transposon-based genome editing systems for C. thermodepolymerans. By optimizing the electroporation protocol and refining counterselection methods, we achieved significant improvements in genetic manipulation and constructed the AI01 chassis strain with improved transformation efficiency and a {Delta}phaC mutant that will be used to study the importance of PHA synthesis in Caldimonas. The advances described herein highlight the need for tailored approaches when working with thermophilic bacteria and provide a springboard for further genetic and metabolic engineering of C. thermodepolymerans, which can be considered the first model of thermophilic PHA producer.
- organism: bacteria (other)
- assay: whole-genome sequencing
- research focus: genome assembly
- research focus: variant calling
- approach: experimental assay
- Citations
- 10
- FWCI
- 1.86
- Field percentile
- top 16%
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