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Making variability less variable: matching expression system and host for oxygenase-based biotransformations.

Martin Lindmeyer1, Daniel Meyer, Daniel Kuhn

  • 1Laboratory of Chemical Biotechnology, Department of Biochemical and Chemical Engineering, TU Dortmund University, Emil-Figge-Strasse 66, 44227, Dortmund, Germany.

Journal of Industrial Microbiology & Biotechnology
|April 17, 2015
PubMed
Summary
This summary is machine-generated.

Biocatalyst performance variability impacts bioprocessing. Recombinant gene expression in Pseudomonas showed significant activity variations dependent on host strain and regulatory systems, not solvent tolerance.

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Area of Science:

  • Biotechnology
  • Enzyme Engineering
  • Microbial Physiology

Background:

  • Whole-cell biocatalyst performance variability is a key challenge in bioprocessing.
  • Oxygenase-catalyzed reactions are susceptible to inconsistencies in biocatalyst production.
  • Understanding and mitigating variability is crucial for efficient bioprocess development.

Purpose of the Study:

  • To investigate the impact of different inducers, expression systems, and host strains on the reproducibility of oxygenase-catalyzed reactions.
  • To determine the factors influencing variability in biocatalysts derived from solvent-tolerant Pseudomonas species.
  • To assess the relationship between clonal variability, gene expression, and biocatalytic activity.

Main Methods:

  • Testing various Pseudomonas strains (solvent-tolerant and sensitive) and Escherichia coli for recombinant gene expression.
  • Evaluating the performance of xylene and styrene monooxygenases for hydroxylation and epoxidation reactions.
  • Analyzing activity variations in relation to different regulatory systems (alk- and lac-systems) and host strain genetics.

Main Results:

  • Significantly higher activity variations were observed in solvent-tolerant Pseudomonas putida DOT-TIE and S12 compared to other strains.
  • Specific styrene epoxidation rates directly correlated with cellular styrene monooxygenase content.
  • Activity variations were strongly dependent on the regulatory system, with the alk-system showing high variability and the lac-system showing low variability.

Conclusions:

  • Clonal variability in recombinant gene expression in Pseudomonas is influenced by the interplay between the regulatory system and the host strain.
  • Variability does not correlate with general phenotypes like solvent tolerance.
  • Case-by-case evaluation of variability is essential for optimizing bioprocesses using recombinant Pseudomonas.