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Research Article Open access CC BY 4.0

Advances in Genetic Engineering for Disease Resistant Crops: A Review

Shakshi Singh, Sarmistha Sahoo, Rashmi Mohapatra, Chandan Kumar Panigrahi, Gurumayum Robert Daniel, S. Arunkumar, Lipikant Sahoo, Deepali Mohapatra

Journal of Advances in Biology & Biotechnology · pp. 856–869 · Published 11 Jun 2025

10.9734/jabb/2025/v28i62447

Abstract

Plant diseases continue to pose a substantial threat to global agriculture, causing significant yield losses and compromising food security. Traditional breeding methods, though valuable, face limitations in speed, precision, and durability of resistance. Advances in genetic engineering have revolutionized crop protection strategies, offering powerful tools to develop disease-resistant cultivars with greater accuracy and efficiency. CRISPR/Cas systems have emerged as a leading platform for targeted genome editing, enabling the knockout of susceptibility genes, fine-tuned base and prime editing, and multiplex editing for broad-spectrum and durable resistance. Transgenic approaches involving overexpression of R genes, antimicrobial peptides, and RNA interference constructs have provided enhanced resistance to fungi, bacteria, viruses, and nematodes. The integration of genomics, transcriptomics, proteomics, and bioinformatics through genome-wide association studies and systems biology has facilitated the discovery and deployment of novel resistance genes. Despite these advancements, challenges persist, including technical difficulties in editing complex genomes, off-target effects, rapid pathogen evolution, and socio-economic and policy constraints that limit widespread adoption. Future innovations in synthetic biology, artificial intelligence, pan-genomics, and microbiome-assisted breeding are expanding the frontiers of crop immunity engineering. These next-generation strategies promise to develop more resilient plant systems capable of responding dynamically to diverse pathogen pressures. Regulatory harmonization, public awareness, and investment in research infrastructure are crucial to support the transition from laboratory research to field application.

CRISPR/Cas9 disease resistance transgenic crops RNA interference omics integration synthetic biology

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