Senpon Ngomle , Songthat William Haokip , Yengkhom Disco Singh , KH. Anush Sheikh , Sorokhaibam Romio Singh , Milind B. Katare
{"title":"Omics approaches in plant disease management: An insightful review","authors":"Senpon Ngomle , Songthat William Haokip , Yengkhom Disco Singh , KH. Anush Sheikh , Sorokhaibam Romio Singh , Milind B. Katare","doi":"10.1016/j.pmpp.2025.102916","DOIUrl":null,"url":null,"abstract":"<div><div>Plant diseases cause up to 40 % of global crop losses annually, severely impacting food security and agricultural economies. Traditional disease management approaches often fall short, necessitating advanced solutions. Omics technologies such as genomics, transcriptomics, proteomics, metabolomics, and phenomics have transformed plant pathology by enabling early pathogen detection, accelerated resistance breeding, and precision biocontrol. This review highlights key advancements in omics-driven disease management, emphasizing their transformative potential in modern agriculture. Genomics utilizes the next-generation sequencing (NGS) for pathogen diagnostics, CRISPR-based gene editing, and rapid resistance gene mapping reducing breeding cycles. Transcriptomics leverages RNA-Seq and microarrays to decode host-pathogen interactions and defense mechanisms, while metabolomics identifies disease biomarkers and stress-responsive metabolites with 95 % accuracy in pre-symptomatic detection. Proteomics unravels effector-host protein interactions via mass spectrometry, enabling targeted immune response studies. Though less established, phenomics integrates AI, drones, and hyperspectral imaging for high-throughput disease phenotyping, offering non-invasive monitoring at scale. Integration of multi-omics data with machine learning has yielded predictive models for plant immunity and pathogen behavior, facilitating precision interventions. Metagenomics further enhances biocontrol strategies by profiling beneficial microbiomes and enabling phage therapy against resistant pathogens. Despite their promise, challenges like data complexity, high costs, and regulatory barriers remain. However, strategic omics adoption can drive sustainable agriculture, foster climate-resilient crops and reducing reliance on chemical pesticides. By bridging fundamental research and field applications, omics technologies are poised to redefine global crop protection, ensuring food security in an era of climate change and emerging plant diseases.</div></div>","PeriodicalId":20046,"journal":{"name":"Physiological and Molecular Plant Pathology","volume":"140 ","pages":"Article 102916"},"PeriodicalIF":3.3000,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physiological and Molecular Plant Pathology","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0885576525003558","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PLANT SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Plant diseases cause up to 40 % of global crop losses annually, severely impacting food security and agricultural economies. Traditional disease management approaches often fall short, necessitating advanced solutions. Omics technologies such as genomics, transcriptomics, proteomics, metabolomics, and phenomics have transformed plant pathology by enabling early pathogen detection, accelerated resistance breeding, and precision biocontrol. This review highlights key advancements in omics-driven disease management, emphasizing their transformative potential in modern agriculture. Genomics utilizes the next-generation sequencing (NGS) for pathogen diagnostics, CRISPR-based gene editing, and rapid resistance gene mapping reducing breeding cycles. Transcriptomics leverages RNA-Seq and microarrays to decode host-pathogen interactions and defense mechanisms, while metabolomics identifies disease biomarkers and stress-responsive metabolites with 95 % accuracy in pre-symptomatic detection. Proteomics unravels effector-host protein interactions via mass spectrometry, enabling targeted immune response studies. Though less established, phenomics integrates AI, drones, and hyperspectral imaging for high-throughput disease phenotyping, offering non-invasive monitoring at scale. Integration of multi-omics data with machine learning has yielded predictive models for plant immunity and pathogen behavior, facilitating precision interventions. Metagenomics further enhances biocontrol strategies by profiling beneficial microbiomes and enabling phage therapy against resistant pathogens. Despite their promise, challenges like data complexity, high costs, and regulatory barriers remain. However, strategic omics adoption can drive sustainable agriculture, foster climate-resilient crops and reducing reliance on chemical pesticides. By bridging fundamental research and field applications, omics technologies are poised to redefine global crop protection, ensuring food security in an era of climate change and emerging plant diseases.
期刊介绍:
Physiological and Molecular Plant Pathology provides an International forum for original research papers, reviews, and commentaries on all aspects of the molecular biology, biochemistry, physiology, histology and cytology, genetics and evolution of plant-microbe interactions.
Papers on all kinds of infective pathogen, including viruses, prokaryotes, fungi, and nematodes, as well as mutualistic organisms such as Rhizobium and mycorrhyzal fungi, are acceptable as long as they have a bearing on the interaction between pathogen and plant.