Evidence map›Paper›PMID 42071155›Full record

ReviewAdvances in experimental medicine and biology2026

Decoding Plant Immunity: Proteomics as a Biotechnological Tool for Crop Improvement.

Rita B Santos, Catarina Paiva-Silva, Andreia Figueiredo

Abstract readReview
PubMed Publisher
In one paragraph

Review in Advances in experimental medicine and biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Rita B SantosGrapevine Pathogen Systems Lab, Biosystems and Integrative Sciences Institute, Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal.
Catarina Paiva-SilvaGrapevine Pathogen Systems Lab, Biosystems and Integrative Sciences Institute, Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal.
Andreia FigueiredoGrapevine Pathogen Systems Lab, Biosystems and Integrative Sciences Institute, Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal. aafigueiredo@ciencias.ulisboa.pt.ORCID https://orcid.org/0000-0001-8156-7700

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proteomics is an already established transformative tool for dissecting the molecular mechanisms underlying plant immunity and pathogen virulence. As crop losses due to plant diseases intensify under climate change, understanding these interactions at the protein level has become essential for sustainable crop improvement. Advances in mass spectrometry, bioinformatics, and quantitative proteomics have expanded the capacity to characterize dynamic changes in host and pathogen proteomes, enabling the identification of defense-related proteins, signaling networks, effector targets, and pathogenicity determinants. This chapter synthesizes recent proteomic insights across major crops as soybean, tomato, rice, grapevine, maize, and wheat, highlighting how proteome profiling has revealed key regulators of pathogen-associated molecular pattern (PAMP)-triggered and effector-triggered immunity, pathogen infection strategies, and the impact of biocontrol agents and priming compounds. Case studies illustrate how proteomics uncovers cultivar-specific responses, subcellular reprogramming, and protein networks critical for resistance. We further explore how proteomics informs biotechnology, from identifying candidate genes for breeding and genome editing to supporting safety assessments of engineered crops.

Indexed as

BiotechnologyCrops, AgriculturalPlant DiseasesPlant ImmunityPlant ProteinsProteomicsDisease ResistanceHost-Pathogen InteractionsPlant BreedingPlants, Genetically ModifiedPlant ProteinsGrapevineMass spectrometryPlant–pathogen interactionsRiceSoybeanTomatoWheat

Identifiers

PMID42071155

What OpenQuestion holds

Textmetadata
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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.