A pathway for every product? Tools to discover and design plant metabolism.

Autor: Jeffryes JG; Argonne National Laboratory, Mathematics and Computer Science Division, Argonne, IL, United States., Seaver SMD; Argonne National Laboratory, Mathematics and Computer Science Division, Argonne, IL, United States., Faria JP; Argonne National Laboratory, Mathematics and Computer Science Division, Argonne, IL, United States., Henry CS; Argonne National Laboratory, Mathematics and Computer Science Division, Argonne, IL, United States. Electronic address: chenry@mcs.anl.gov.
Jazyk: angličtina
Zdroj: Plant science : an international journal of experimental plant biology [Plant Sci] 2018 Aug; Vol. 273, pp. 61-70. Date of Electronic Publication: 2018 Mar 30.
DOI: 10.1016/j.plantsci.2018.03.025
Abstrakt: The vast diversity of plant natural products is a powerful indication of the biosynthetic capacity of plant metabolism. Synthetic biology seeks to capitalize on this ability by understanding and reconfiguring the biosynthetic pathways that generate this diversity to produce novel products with improved efficiency. Here we review the algorithms and databases that presently support the design and manipulation of metabolic pathways in plants, starting from metabolic models of native biosynthetic pathways, progressing to novel combinations of known reactions, and finally proposing new reactions that may be carried out by existing enzymes. We show how these tools are useful for proposing new pathways as well as identifying side reactions that may affect engineering goals.
(Published by Elsevier B.V.)
Databáze: MEDLINE
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