Phytopathogenomics and Disease Control

ISSN: 2957-5842 (Online)
ISSN: 2957-5834 (Print)
DOI: 10.22194
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Acceptance Rate 28%
Submission To Final Decision: 60-90 Days
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Advancing Agricultural Resilience: Omics Strategies Unveiling Molecular Mechanisms for Disease Resistance In Vegetables

Ali Hassan Khan, Muhammad Tanees Chaudhary, Hidayatullah, Nausherwan Nobel Nawab, Muhammad Mazhar Hussain, Muhammad Qamar Uz Zaman, Sultan Mehmood, Muhammad Salman, Uzma Arif, Muhammad Sulman and Mariam Hassan

https://doi.org/10.22194/Pdc/4.1028

In modern agriculture, the cultivation of vegetables faces significant challenges due to the relentless onslaught of various diseases that can lead to substantial crop losses. To address these challenges, omics approaches have emerged as powerful tools for understanding the molecular mechanisms underlying vegetable disease resistance. Omics technologies, including genomics, transcriptomics, proteomics, and metabolomics, have emerged as invaluable tools for investigating vegetable disease resistance. The abstract reviews their application in deciphering the complex interactions between plants and pathogens to enhance resistance. Genomic studies identify resistance-associated genes and loci, while transcriptomics reveals defense pathways and regulatory networks. Proteomics unravel dynamic protein changes during interactions, indicating potential biomarkers and defense proteins. Metabolomics elucidates metabolic shifts in resistant plants, highlighting signaling and defense-related metabolites. Integration of omics data enables a comprehensive understanding and modeling of plant-pathogen dynamics. These approaches also expedite breeding via marker-assisted selection and genome editing. Challenges include data integration and functional validation. Nonetheless, omics approaches offer unprecedented insights into vegetable disease resistance, promising sustainable crop protection and food security.

Keywords: Omics approaches, genomics, transcriptomics, proteomics, metabolomics, vegetables, marker-assisted selection, genome editing, sustainable crop protection, food security.

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