Metagenomic Applications in the Early Detection of Human Viral Threats

Abstract

The rapid evolution of viral pathogens presents significant challenges for global health, as traditional methods for virus detection often fail to identify novel or genetically diverse viruses. The emergence and reemergence of viral pathogens necessitate more advanced and inclusive diagnostic approaches. This review aims to explore the role of metagenomics in overcoming the limitations of traditional viral detection methods and to assess its impact on the discovery, characterization, and surveillance of viral pathogens. A comprehensive review of recent studies employing metagenomic approaches to viral detection was conducted. High-throughput sequencing technologies and bioinformatics tools were highlighted as key components in enabling broad-spectrum viral identification and characterization. Metagenomic approaches have successfully identified novel pathogens, including new arboviruses and reemerging strains of known viruses. These techniques provide a more complete understanding of viral diversity and dynamics, surpassing the limitations of targeted assays and culturing methods. Key findings emphasize the capability of metagenomics to detect viruses previously undetected by conventional methods, improving the scope of surveillance. Metagenomics offers transformative advantages for viral surveillance and outbreak management. It enhances early detection, allows for better-informed responses to viral threats, and contributes to more effective strategies for managing emerging and reemerging viral pathogens. Integration of metagenomic techniques into public health practices is crucial for combating the evolving landscape of viral diseases.