ReviewStress biology2025
Plant-pathogen interactions: making the case for multi-omics analysis of complex pathosystems.
Review in Stress biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Comparative phytochemical profiling and meta‑analysis of public transcriptomic datasets uncover species‑ and organ‑specific patterns of flavonoid and phenolic biosynthesis in Ferula species.BMC plant biology · 2026Pooled it
- Comparative multi-omics uncover conserved and lineage-specific defense strategies to southern corn rust in temperate and tropical maize.Plant cell reports · 2026Article
- Structural Variation and Its Roles in Plant Genomes.Plants (Basel, Switzerland) · 2026Review
- Biocontrol Microbial Inoculants SuppressPlants (Basel, Switzerland) · 2026Article
- Specialized Metabolic Reprogramming in Plant Immunity: Biosynthetic Networks, Spatiotemporal Regulation, and Quantitative Defense.Plants (Basel, Switzerland) · 2026Review
- Metabolomics in Biotic Stress: Insights into Potato Resistance to Powdery Scab.Plants (Basel, Switzerland) · 2026Article
- Integrated Transcriptomic and Metabolic Analyses Reveal Key Defense Pathways AgainstPlants (Basel, Switzerland) · 2026Article
- Beyond Resistance Genes: Silencing Susceptibility.International journal of molecular sciences · 2026Review
- Next-Generation Biopesticides for the Control of Fungal Plant Pathogens.Plants (Basel, Switzerland) · 2026Review
- A voyage of reprogrammable metabolic bioengineering reshapes plant defense: from editing tools to synthetic systems.Frontiers in plant science · 2026Review
- Decoding the rhizosphere microbiome againstFrontiers in microbiomes · 2026Review
- Advancing anthracnose resistance in dry beans through the transition from traditional to computational breeding efforts.Frontiers in plant science · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding plant-pathogen interactions requires a systems-level perspective that single-omics approaches, such as genomics, transcriptomics, proteomics, or metabolomics alone, often fail to provide. While these methods are informative, they are limited in their ability to capture the complexity of the dynamic molecular interactions between host and pathogen. Multi-omics strategies offer a powerful solution by integrating complementary data types, enabling a more comprehensive view of the molecular networks and pathways involved in disease progression and defence. Although technological advances have made omics analyses more accessible and affordable, their integration remains underutilised in plant science. This review highlights the limitations of single-omics studies in dissecting plant-pathogen interactions and emphasises the value of multi-omics approaches. We discuss available computational tools for data integration and visualisation, outline current challenges, including data heterogeneity, normalisation issues, and computational demands, and explore future directions such as the exploitation of artificial intelligence-based approaches and single-cell omics. We conclude that the increasing accessibility and affordability of omics analysis means that multi-omics strategies are now indispensable tools to investigate complex biological processes such as plant-pathogen interactions.
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Registered trials
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.