Evidence map›Paper›PMID 32099803›Full record

ReviewMetabolic engineering communications2020

Metabolic flux analysis of secondary metabolism in plants.

Meng-Ling Shih, John A Morgan

Abstract readReview
In one paragraph

Review in Metabolic engineering communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Invasive Asian water moss (Frontiers in plant science · 2026
    Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Unlocking theMolecules (Basel, Switzerland) · 2025
    Article
  11. Review
  12. Article
  13. Article
  14. Energy Metabolism Enhance Perylenequinone Biosynthesis inInternational journal of molecular sciences · 2024
    Article
  15. Review
  16. Review
  17. Anatomical and Metabolome Features ofInternational journal of molecular sciences · 2024
    Article
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Meng-Ling ShihDavidson School of Chemical Engineering, Purdue University, West Lafayette, IN, 47907, USA.
John A MorganDavidson School of Chemical Engineering, Purdue University, West Lafayette, IN, 47907, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

13C MFA, Steady state isotopically labeled metabolic flux analysisBA, Benzoic acidDMAPP, Dimethylallyl diphosphateGC, Gas chromatographyINST-MFA, Isotopically non-steady state metabolic flux analysisIP, Isopentenyl phosphateIPP, Isopentenyl diphosphateLC, Liquid chromatographyMEP, Methylerythritol 4-phosphateMetabolic channelingMetabolic flux analysisMFA, Metabolic flux analysisMS, Mass spectrometryMVA, Mevalonic acidMVAP, Mevalonate 5-phosphateMVAPP, Mevalonate 5-diphosphateNMR, Nuclear magnetic resonancePhe, PhenylalaninePlant secondary metabolitesStable isotopic labelingSubcellular compartmentation

Identifiers

PMID32099803
PMCPMC7031320

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.