Molecular Identification and Integrated Management of Fungal Pathogens Affecting Maize: Recent advances and Future Perspectives
Keywords:
Molecular diagnostics, fungal pathogens, integrated disease management, Maize diseasesAbstract
Maize (Zea mays L.) is one of the most important cereal crops globally, serving as a major source of food, animal feed, and industrial raw materials. However, maize productivity is significantly threatened by fungal pathogens that cause diseases such as ear rot, stalk rot, leaf blight, gray leaf spot, and smut. Major pathogens responsible for these diseases include Fusarium species, Exserohilum turcicum, Bipolaris maydis, Cercospora zeina, and Ustilago maydis. These pathogens not only reduce crop yield and grain quality but also produce harmful mycotoxins that pose serious health risks to humans and livestock. Accurate identification and effective management of these fungal pathogens are therefore essential for ensuring sustainable maize production and global food security. Recent advances in molecular biology have significantly improved the detection and identification of maize fungal pathogens. Techniques such as polymerase chain reaction (PCR), quantitative PCR (qPCR), next-generation sequencing (NGS), multilocus sequence typing (MLST), loop-mediated isothermal amplification (LAMP), and CRISPR-based diagnostics enable rapid, precise, and sensitive pathogen detection. These molecular approaches help distinguish closely related fungal species and facilitate early disease diagnosis and epidemiological monitoring. Alongside improved diagnostics, integrated disease management strategies have been developed to control fungal diseases in maize. These strategies combine cultural practices, resistant maize varieties developed through marker-assisted breeding, biological control using beneficial microorganisms, and targeted fungicide application. Emerging technologies such as RNA-based gene silencing, genomic selection, microbiome engineering, and high-throughput phenotyping also offer promising tools for sustainable disease control. Integrating molecular diagnostics with these management strategies will be crucial for mitigating fungal diseases and improving maize productivity in the future.
