The DOI matches its Crossref record; 145 of the 145 references it cites were found in a registry or an index.
Metabolomics as an Emerging Tool for the Study of Plant–Pathogen Interactions
Open accessAbstract
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.
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Cited by
Review: Metabolomics as a Prediction Tool for Plants Performance under Environmental Stress
Villate, A., San Nicolas, M., Gallastegi, M., Aulas, P.-A., Olivares, M., Usobiaga, A., Etxebarria, N., & Aizpurua-Olaizola, O. (2021) · Plant Science · doi:10.1016/j.plantsci.2020.110789 · Cited by 72
Metadata
- Authors
- Castro-Moretti, F. R., Gentzel, I. N., Mackey, D., & Alonso, A. P.
- Venue
- Metabolites
- Publisher
- MDPI AG
- Published
- 2020-01-29
- Volume
- 10
- Issue
- 2
- Pages
- 52
- ISSN
- 2218-1989 (ISSN-L)
- OpenAlex
- W3004004791
- Cited by
- 269
- References
- 145
- FWCI
- 18.23
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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