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Developing multifunctional crops by engineering Brassicaceae glucosinolate pathways
Journal article   Open access   Peer reviewed

Developing multifunctional crops by engineering Brassicaceae glucosinolate pathways

Han Qin, Graham J King, Priyakshee Borpatragohain and Jun Zou
Plant communications, Vol.4(4), 100565
10/07/2023
DOI: https://doi.org/10.1016/j.xplc.2023.100565
PMID: 36823985
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Abstract

multifunctional crop ideotype glucosinolate glucosinolate hydrolysis product metabolic engineering Brassicaceae
Glucosinolates (GSLs) are one of the most well-studied classes of secondary metabolites, found mainly in species of the Brassicaceae family. Produced by myrosinase action on GSLs, GSL-derived hydrolysis products (GHPs) primarily defend against biotic stress in planta, and also significantly affect the quality of crop products, with a subset of GHPs contributing unique food flavors and multiple therapeutic benefits, or leading to disagreeable food odors and health risks. Here, we explore the potential of these bioactive functions which could be exploited for future sustainable agriculture. We first summarize the accumulated knowledge of GSL diversity and distribution across representative Brassicaceae species. We then systematically discuss and evaluate the potential of exploited and unutilized genes involved in GSL biosynthesis, transport and hydrolysis as candidate GSL engineering targets. Benefiting from the available knowledge of GSL and GHP functions, we explore options for multifunctional Brassicaceae crop ideotypes to meet future demand for food diversification and sustainable crop production. We then propose an integrated roadmap to guide ideotype development, where maximization of beneficial effects and minimization of detrimental effects resulting from GHPs could be combined and associated with various end uses. Based on several use-case examples, we discuss advantages and limitations of available biotechnological approaches that may contribute to effective deployment and could provide novel insights for the optimization of future GSL engineering.

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