Evidence map›Paper›PMID 39945834›Full record

ReviewPlant cell reports2025

Proteomic insights into fruit-pathogen interactions: managing biotic stress in fruit.

Aidhya Irhash Putra, Muhammad Naveed Khan, Nurhaida Kamaruddin, Raja Farhana R Khairuddin, Jameel R Al-Obaidi, Brenda Juana Flores, Luis Fernando Flores

Abstract readReview
PubMed Publisher
In one paragraph

Review in Plant cell reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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

7 authors.

Aidhya Irhash PutraDepartment of Biology, Faculty of Science and Mathematics, Universiti Pendidikan Sultan Idris, 35900, Tanjong Malim, Perak, Malaysia.
Muhammad Naveed KhanDepartment of Biology, Faculty of Science and Mathematics, Universiti Pendidikan Sultan Idris, 35900, Tanjong Malim, Perak, Malaysia.
Nurhaida KamaruddinDepartment of Biology, Faculty of Science and Mathematics, Universiti Pendidikan Sultan Idris, 35900, Tanjong Malim, Perak, Malaysia.
Raja Farhana R KhairuddinDepartment of Biology, Faculty of Science and Mathematics, Universiti Pendidikan Sultan Idris, 35900, Tanjong Malim, Perak, Malaysia.
Jameel R Al-ObaidiDepartment of Biology, Faculty of Science and Mathematics, Universiti Pendidikan Sultan Idris, 35900, Tanjong Malim, Perak, Malaysia. jr_alobaidi@yahoo.com.ORCID http://orcid.org/0000-0002-5705-0223
Brenda Juana FloresEscuela de Producción, Tecnología y Medio Ambiente, Universidad Nacional de Río Negro, 8336, Villa Regina, Río Negro, Argentina.
Luis Fernando FloresEscuela de Producción, Tecnología y Medio Ambiente, Universidad Nacional de Río Negro, 8336, Villa Regina, Río Negro, Argentina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

keymessageProteomics has revealed complex immune responses in fruits, leading to the identification of potential disease biomarkers and resistance mechanisms. Fruit diseases caused by fungal and bacterial pathogens present critical challenges to global food security by reducing fruit shelf life and quality. This review explores the molecular dynamics of fruit-pathogen interactions using advanced proteomic techniques. These approaches include mass spectrometry-based identification, gel-based, and gel-free strategies, tailored to the unique compositions of fruit tissues for accurate protein extraction and identification. Proteomic studies reveal pathogen-induced changes in fruit proteomes, including the upregulation of defence-related proteins and suppression of metabolic pathways crucial for pathogen survival. Case studies on tomatoes, apples, and bananas highlight specific pathogen-responsive proteins, such as PR proteins and enzymes involved in ROS scavenging, which play roles in disease resistance mechanisms. The review further demonstrates the utility of proteomic data in identifying early disease biomarkers, guiding genetic improvements for disease resistance, and optimizing pathogen control measures. Integrating proteomic insights with transcriptomics and metabolomics provides a multidimensional understanding of fruit-pathogen interactions, paving the way for innovative solutions in agriculture. Future research should prioritize multi-omics approaches and field-level validations to translate laboratory findings into practical applications. The advancements discussed underscore the transformative role of proteomics in improving food security and sustainability amid challenges posed by climate change and increasing global food demand.

Indexed as

FruitHost-Pathogen InteractionsPlant DiseasesProteomicsStress, PhysiologicalDisease ResistancePlant ProteinsProteomePlant ProteinsProteomeFruit proteomicsPlant immunityPostharvest

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.