ArticleFrontiers in plant science2020
Application of an Integrated and Open Source Workflow for LC-HRMS Plant Metabolomics Studies. Case-Control Study: Metabolic Changes of Maize in Response to
Article in Frontiers in plant science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Orsellinic Acid from the EndophyticACS omega · 2026Article
- Overexpression of the maize 9-lipoxygenase gene LOX4 confers resistance to Fusarium verticillioides via the oxylipin- and jasmonic acid-mediated pathways.Journal of experimental botany · 2026Article
- Transcriptome profiling of eight Zea mays lines identifies genes responsible for the resistance to Fusarium verticillioides.BMC plant biology · 2024Article
- Aflatoxin BToxins · 2023Article
- Comparative metabolomics of root-tips reveals distinct metabolic pathways conferring drought tolerance in contrasting genotypes of rice.BMC genomics · 2023Article
- Maize kernel metabolome involved in resistance to fusarium ear rot and fumonisin contamination.Frontiers in plant science · 2023Article
- Article
- Mass Spectrometry Imaging Disclosed Spatial Distribution of Defense-Related Metabolites inMetabolites · 2022Article
- Genomics and Pathways Involved in Maize Resistance toFrontiers in plant science · 2022Article
- Omics for the Improvement of Abiotic, Biotic, and Agronomic Traits in Major Cereal Crops: Applications, Challenges, and Prospects.Plants (Basel, Switzerland) · 2021Review
- Loss ofGenes · 2021Article
- Lipid Signaling Modulates the Response to Fumonisin Contamination and Its Source,Frontiers in plant science · 2021Article
- Analysis of plant metabolomics data using identification-free approaches.Applications in plant sciencesReview
- Effects of seed infection by Fusarium verticillioides on maize performance against Sesamia nonagrioides attack.Physiologia plantarumArticle
Corrections and comments
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Authors and funding
6 authors.
Funding
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Abstract
Liquid chromatography coupled with high-resolution mass spectrometry (LC-HRMS) represents the most powerful metabolomics platform to investigate biological systems. Reproducible and standardized workflows allow obtaining a meaningful biological interpretation. The purpose of this study was to set up and apply an open-source workflow for LC-HRMS plant metabolomics studies. Key steps of the proposed workflow were as follows: (1) experimental design, (2) sample preparation, (3) LC-HRMS analysis, (4) data processing, (5) custom database search, (6) statistical analysis, (7) compound identification, and (8) biochemical interpretation. Its applicability was evaluated through the study of metabolomics changes of two maize recombinant inbred lines with contrasting phenotypes with respect to disease severity after
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