Evidence map›Paper›PMID 32013104›Full record

ReviewMetabolites2020

Metabolomics as an Emerging Tool for the Study of Plant-Pathogen Interactions.

Fernanda R Castro-Moretti, Irene N Gentzel, David Mackey, Ana P Alonso

Abstract readReview
In one paragraph

Review in Metabolites, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers.

0numbers the graph read from it
0cells of the map it votes in
101citing papers in PubMed
–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

101 citing papers in PubMed.

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  15. Transcriptomic and metabolomic profiling ofFrontiers in plant science · 2026
    Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. The role ofApplied and environmental microbiology · 2025
    Article

41 more citing papers are in PubMed but not listed here.

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

4 authors.

Fernanda R Castro-MorettiBioDiscovery Institute, University of North Texas, TX 76201, USA.
Irene N GentzelDepartment of Plant Pathology, The Ohio State University, Columbus, OH 43210, USA.
David MackeyDepartment of Horticulture and Crop Science, The Ohio State University, Columbus, OH 43210, USA.
Ana P AlonsoBioDiscovery Institute, University of North Texas, TX 76201, USA.

Funding

National Science Foundation 1638999Rural Development Administration PJ01326904U.S. Department of Agriculture 2016-67013-24727
6 · The paper itself

Abstract

Plants defend themselves from most microbial attacks via mechanisms including cell wall fortification, production of antimicrobial compounds, and generation of reactive oxygen species. Successful pathogens overcome these host defenses, as well as obtain nutrients from the host. Perturbations of plant metabolism play a central role in determining the outcome of attempted infections. Metabolomic analyses, for example between healthy, newly infected and diseased or resistant plants, have the potential to reveal perturbations to signaling or output pathways with key roles in determining the outcome of a plant-microbe interaction. However, application of this -omic and its tools in plant pathology studies is lagging relative to genomic and transcriptomic methods. Thus, it is imperative to bring the power of metabolomics to bear on the study of plant resistance/susceptibility. This review discusses metabolomics studies that link changes in primary or specialized metabolism to the defense responses of plants against bacterial, fungal, nematode, and viral pathogens. Also examined are cases where metabolomics unveils virulence mechanisms used by pathogens. Finally, how integrating metabolomics with other -omics can advance plant pathology research is discussed.

Indexed as

gas-chromatographyliquid-chromatographymass spectrometrymicrobepathogenplantprimary metabolitesspecialized metabolites

Identifiers

PMID32013104
PMCPMC7074241

What OpenQuestion holds

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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.