Metabolic flux analysis of secondary metabolism in plants
Open accessAbstract
Numerous secondary metabolites from plants are important for their medicinal, nutraceutical or sensory properties. Recently, significant progress has been made in the identification of the genes and enzymes of plant secondary metabolic pathways. Hence, there is interest in using synthetic biology to enhance the production of targeted valuable metabolites in plants. In this article, we examine the contribution that metabolic flux analysis will have on informing the rational selection of metabolic engineering targets as well as analysis of carbon and energy efficiency. Compared to microbes, plants have more complex tissue, cellular and subcellular organization, making precise metabolite concentration measurements more challenging. We review different techniques involved in quantifying flux and provide examples illustrating the application of the techniques. For linear and branched pathways that lead to end products with low turnover, flux quantification is straightforward and doesn't require isotopic labeling. However, for metabolites synthesized via parallel pathways, there is a requirement for isotopic labeling experiments. If the fed isotopically labeled carbons don't scramble, one needs to apply transient label balancing methods. In the transient case, it is also necessary to measure metabolite concentrations. While flux analysis is not able to directly identify mechanisms of regulation, it is a powerful tool to examine flux distribution at key metabolic nodes in intermediary metabolism, detect flux to wasteful side pathways, and show how parallel pathways handle flux in wild-type and engineered plants under a variety of physiological conditions.
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Well-designed flux analysis experiments can help deconvolute measurements such that the distribution of flux corresponding to different pathways leading to the same product can be calculated.
“Well-designed flux analysis experiments can help deconvolute the measurements such that distribution of flux corresponding to different pathways leading to the formation of same product can be calculated.”
From Connecting metabolome and phenotype: recent advances in functional metabolomics tools for the identification of bioactive natural products (2024) · cites this paper as [65]
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References 73 · Cited by 85
- Authors
- Shih, M.-L., & Morgan, J. A.
- Affiliations
- Purdue University West Lafayette (US)
- Corresponding author
- Morgan, John A.
- Venue
- Metabolic Engineering Communications
- Publisher
- Elsevier BV
- Published
- 2020-06
- Volume
- 10
- Pages
- e00123
- ISSN
- 2214-0301 (ISSN-L)
- PMC
- PMC7031320
- OpenAlex
- W3003395418
- Cited by
- 85
- References
- 73
- Citations by year
- 2026: 18 · 2025: 10 · 2024: 9 · 2023: 9 · 2022: 20 · 2021: 9 · 2020: 10
- FWCI
- 1.15
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Metabolic Engineering Communications (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Science Foundation
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Plant biochemistry and biosynthesis
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biotechnology › Biochemical and biochemical processes
- Keywords
- metabolic flux analysis, plant secondary metabolism, metabolic engineering, isotopic labeling, flux distribution, metabolic engineering targets
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