Aug 2026· European Journal of Food, Fashion and Allied Bio-Life Sciences· 0 citations
TL;DR
This paper explores advanced molecular diagnostic and analytical frameworks, including Next-Generation Sequencing (NGS), polymerase chain reaction (PCR)-based diagnostics, and CRISPR-based detection systems, and examines how molecular insights facilitate the characterization of effector proteins and host-pathogen interactions, which are critical for breeding durable disease resistance in staple crops.
Abstract
The global agricultural sector faces significant yield losses due to the emergence and rapid evolution of plant pathogens, including fungi, bacteria, viruses, and oomycetes. Conventional diagnostic methods, while foundational, often lack the sensitivity and speed required for early detection and strain-level identification. Molecular characterization has emerged as a transformative approach, enabling the precise identification, classification, and understanding of pathogen virulence mechanisms at the genetic level. This paper explores advanced molecular diagnostic and analytical frameworks, including Next-Generation Sequencing (NGS), polymerase chain reaction (PCR)-based diagnostics, and CRISPR-based detection systems. By analyzing the genetic diversity and evolutionary dynamics of major crop pathogens—such as Magnaporthe oryzae and Fusarium species—researchers can track the spread of resistant strains and develop targeted control strategies. The discussion examines how molecular insights facilitate the characterization of effector proteins and host-pathogen interactions, which are critical for breeding durable disease resistance in staple crops. Furthermore, the analysis addresses the challenges of integrating these high-throughput molecular tools into field diagnostics and the importance of global surveillance networks in mitigating transboundary disease outbreaks. Ultimately, the molecular characterization of plant pathogens is a fundamental necessity for modern, sustainable crop protection, providing the diagnostic accuracy and evolutionary insights required to safeguard food security against an increasingly complex and dynamic landscape of agricultural pathogens.
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