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A combined experimental and modelling approach for the Weimberg pathway optimisation

Author

Listed:
  • Lu Shen

    (University of Duisburg-Essen)

  • Martha Kohlhaas

    (University of Duisburg-Essen)

  • Junichi Enoki

    (Ruhr-University Bochum)

  • Roland Meier

    (Member of Merck Group, Sigma-Aldrich)

  • Bernhard Schönenberger

    (Member of Merck Group, Sigma-Aldrich)

  • Roland Wohlgemuth

    (Member of Merck Group, Sigma-Aldrich
    Institute of Molecular and Industrial Biotechnology, Technical University Lodz)

  • Robert Kourist

    (Ruhr-University Bochum
    Institute of Molecular Biotechnology, Graz University of Technology)

  • Felix Niemeyer

    (University of Duisburg-Essen)

  • David van Niekerk

    (University of Stellenbosch)

  • Christopher Bräsen

    (University of Duisburg-Essen)

  • Jochen Niemeyer

    (University of Duisburg-Essen)

  • Jacky Snoep

    (University of Stellenbosch
    VU University Amsterdam)

  • Bettina Siebers

    (University of Duisburg-Essen)

Abstract

The oxidative Weimberg pathway for the five-step pentose degradation to α-ketoglutarate is a key route for sustainable bioconversion of lignocellulosic biomass to added-value products and biofuels. The oxidative pathway from Caulobacter crescentus has been employed in in-vivo metabolic engineering with intact cells and in in-vitro enzyme cascades. The performance of such engineering approaches is often hampered by systems complexity, caused by non-linear kinetics and allosteric regulatory mechanisms. Here we report an iterative approach to construct and validate a quantitative model for the Weimberg pathway. Two sensitive points in pathway performance have been identified as follows: (1) product inhibition of the dehydrogenases (particularly in the absence of an efficient NAD+ recycling mechanism) and (2) balancing the activities of the dehydratases. The resulting model is utilized to design enzyme cascades for optimized conversion and to analyse pathway performance in C. cresensus cell-free extracts.

Suggested Citation

  • Lu Shen & Martha Kohlhaas & Junichi Enoki & Roland Meier & Bernhard Schönenberger & Roland Wohlgemuth & Robert Kourist & Felix Niemeyer & David van Niekerk & Christopher Bräsen & Jochen Niemeyer & Jac, 2020. "A combined experimental and modelling approach for the Weimberg pathway optimisation," Nature Communications, Nature, vol. 11(1), pages 1-13, December.
  • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-14830-y
    DOI: 10.1038/s41467-020-14830-y
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    Cited by:

    1. Bob Sluijs & Tao Zhou & Britta Helwig & Mathieu G. Baltussen & Frank H. T. Nelissen & Hans A. Heus & Wilhelm T. S. Huck, 2024. "Iterative design of training data to control intricate enzymatic reaction networks," Nature Communications, Nature, vol. 15(1), pages 1-10, December.

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