Pathway swapping

Toward modular engineering of essential cellular processes

Journal Article (2016)
Author(s)

Niels G.A. Kuijpers (TU Delft - Applied Sciences)

Daniel Solis-Escalante (TU Delft - Applied Sciences)

Marijke A.H. Luttik (TU Delft - Applied Sciences)

Markus M.M. Bisschops (TU Delft - Applied Sciences)

Francine J. Boonekamp (TU Delft - Applied Sciences)

Marcel Van Den Broek (TU Delft - Applied Sciences)

Jack T. Pronk (TU Delft - Applied Sciences)

Jean Marc Daran (TU Delft - Applied Sciences)

Pascale Daran-Lapujade (TU Delft - Applied Sciences)

Research Group
BT/Industriele Microbiologie
DOI related publication
https://doi.org/10.1073/pnas.1606701113 Final published version
More Info
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Publication Year
2016
Language
English
Research Group
BT/Industriele Microbiologie
Journal title
Proceedings of the National Academy of Sciences of the United States of America
Issue number
52
Volume number
113
Pages (from-to)
15060-15065
Downloads counter
183

Abstract

Recent developments in synthetic biology enable one-step implementation of entire metabolic pathways in industrial microorganisms. A similarly radical remodelling of central metabolism could greatly accelerate fundamental and applied research, but is impeded by the mosaic organization of microbial genomes. To eliminate this limitation, we propose and explore the concept of "pathway swapping," using yeast glycolysis as the experimental model. Construction of a "single-locus glycolysis" Saccharomyces cerevisiae platform enabled quick and easy replacement of this yeast's entire complement of 26 glycolytic isoenzymes by any alternative, functional glycolytic pathway configuration. The potential of this approach was demonstrated by the construction and characterization of S. cerevisiae strains whose growth depended on two nonnative glycolytic pathways: a complete glycolysis from the related yeast Saccharomyces kudriavzevii and a mosaic glycolysis consisting of yeast and human enzymes. This work demonstrates the feasibility and potential of modular, combinatorial approaches to engineering and analysis of core cellular processes.