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  Using systems metabolic engineering strategies for high-oil maize breeding

Li, H., Fernie, A. R., & Yang, X. (2023). Using systems metabolic engineering strategies for high-oil maize breeding. Current Opinion in Biotechnology, 79: 102847. doi:10.1016/j.copbio.2022.102847.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000C-0747-D Version Permalink: https://hdl.handle.net/21.11116/0000-000C-3EF7-9
Genre: Journal Article

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 Creators:
Li, Hui1, Author
Fernie, A. R.2, Author           
Yang, Xiaohong1, Author
Affiliations:
1external, ou_persistent22              
2Central Metabolism, Department Gutjahr, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_3396323              

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 Abstract: Maize oil, which is a blend of fatty acid esters generated from triacylglycerol (TAG), is an important component of maize-derived food, feed, and biofuel. The kernel oil content in commercial high-oil maize hybrids averages ∼8%, which is far lower than that in developed high-oil maize lines (as high as 20%). Advances in high-oil maize genomics and genetics and the development of systems metabolic engineering technologies provide new opportunities for high-oil maize breeding. In this review, we discuss the possibility of using kernels and vegetative tissues as factories to produce TAG, eicosapentaenoic acid, and docosahexaenoic acid. We further propose specific implementation strategies based on the metabolic engineering of other species to develop transgenic and gene-editing products, as well as traditional breeding strategies, for application in high-oil maize breeding programs.

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Language(s): eng - English
 Dates: 2022-11-262023-02
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1016/j.copbio.2022.102847
 Degree: -

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Title: Current Opinion in Biotechnology
  Other : Curr. Opin. Biotechnol.
Source Genre: Journal
 Creator(s):
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Publ. Info: London : Elsevier Current Trends
Pages: 102847 Volume / Issue: 79 Sequence Number: 102847 Start / End Page: - Identifier: ISSN: 0958-1669
CoNE: https://pure.mpg.de/cone/journals/resource/954925577053