期刊
JOURNAL OF VIROLOGICAL METHODS
卷 323, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.jviromet.2023.114837
关键词
Zoonosis; COVID-19; Ecogenomics; Diseases control; Computational biology
Zoonotic viral infections pose significant threats to global public health. Understanding the origins and dynamics of these infections is crucial for prevention and management of future outbreaks. Metagenomics is a powerful tool for studying the diversity of viral populations and potential zoonotic events.
Zoonotic viral infections continue to pose significant threats to global public health, as highlighted by the COVID19 pandemic caused by the SARS-CoV-2 virus. The emergence of SARS-CoV-2 served as a stark reminder of the potential for zoonotic transmission of viruses from animals to humans. Understanding the origins and dynamics of zoonotic viruses is critical for early detection, prevention, and effective management of future outbreaks. Metagenomics has emerged as a powerful tool for investigating the virome of diverse ecosystems, shedding light on the diversity of viral populations, their hosts, and potential zoonotic spillover events. We provide an in-depth examination of metagenomic approaches, including, NGS metagenomics, shotgun metagenomics, viral metagenomics, and single-virus metagenomics, highlighting their strengths and limitations in identifying and characterizing zoonotic viral pathogens. This review underscores the pivotal role of metagenomics in enhancing our ability to detect, monitor, and mitigate zoonotic viral infections, using SARS-CoV-2 analogues as a case study. We emphasize the need for continued interdisciplinary collaboration among virologists, ecologists, and bioinformaticians to harness the full potential of metagenomic approaches in safeguarding public health against emerging zoonotic threats.
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