Dipl.-Ing. Martin Lindmeyer

Dipl.-Ing. Martin Lindmeyer
Dipl.-Ing. Martin Lindmeyer
Laboratory of Chemical Biotechnology
Technische Universität Dortmund
44227 Dortmund

Tel.: +49-231-755
Fax.: +49-231-755 7382


Project description

Solving variability issues in Pseudomonas during oxidative biocatalysis

For the conversion/production of toxic compounds with monooxygenases, Pseudomonas strains exhibit interesting characteristics such as solvent tolerance and a high metabolic capacity for redox cofactor regeneration. However, monooxygenase activities, e.g., for the epoxidation of styrene to (S)-styrene oxide, have been found to be less reproducible in solvent-tolerant as compared to solvent-sensitive strains. This variability in biocatalytic performance of solvent tolerant Pseudomonas strains is a crucial aspect for productive whole-cell redox biocatalysis and will be characterized with the goal to overcome such variability issues by genetic and/or biochemical process engineering.

This involves the investigation of population heterogeneity and dynamics with respect to gene expression. To quantify cell-to-cell variability and to identify the cause for variability on a molecular level, eGFP- and respective fusion constructs will be used to get detailed information on the inherently variable gene expression levels and related regulatory mechanisms in recombinant Pseudomonas. Furthermore, different regulatory systems will be tested for monooxygenase gene expression and activities considering inducers and substrates with different hydrophobicities (log P-values). Here, a possible connection between solvent tolerance and cell variability will be investigated.

The final aim is to reprogram an optimized solvent tolerant Pseudomonas strain with highly reproducible biocatalytic performance for the production of chemicals via oxygenase-based whole-cell biocatalysis.

This Thesis is part of the ERA IB pseudomonas 2.0 project.

Peer Reviewed Articles
  • Lindmeyer M., Meyer D., Kuhn D., Bühler B. and Schmid A. (2015)
    Making variability less variable: matching expression system and host for oxygenase-based biotransformations.
    Journal of Industrial Microbiology and Biotechnology, 42(6):851-866, DOI-Link
  • Lindmeyer M., Jahn M., Vorpahl C., Müller S., Schmid A. and Bühler B. (2015)
    Variability in subpopulation formation propagates into biocatalytic variability of engineered Pseudomonas putida strains.
    Frontiers in Microbiology, 6:1042, DOI-Link
  • Jahn M., Vorpahl C., Türkowsky D., Lindmeyer M., Bühler B., Harms H. and Müller S. (2014)
    Accurate determination of plasmid copy number on the single cell level using droplet digital PCR.
    Analytical Chemistry, 86(12):5969–5976, DOI-Link
  • Lindmeyer M., Schmid A. and Bühler B. (2013)
    Variability analysis of different Pseudomonas strains during oxidative whole‐cell biocatalysis.
    Biotrans 2013, 21. - 25. July 2013, Manchester, UK
  • Lindmeyer M., Schmid A. and Bühler B. (2012)
    The catalytic efficiency and expression of oxygenases in Pseudomonas.
    Biotrends 2012, 29. - 30. November 2012, Dortmund, Germany
  • Lindmeyer M., Schmid A. and Bühler B. (2012)
    The catalytic efficiency and expression of oxygenases in Pseudomonas.
    ProcessNet-Jahrestagung 2012, 10. - 13. September 2012, Karlsruhe, Germany