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Updated: Mar 20, 2026
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Metagenomic Analysis of Silage
Published on: January 13, 2017
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Metagenomic approaches to identifying infectious agents
Summary
Next-generation sequencing (NGS) enables untargeted pathogen identification in outbreaks. This review highlights key considerations and pitfalls in using metagenomics for virus discovery, from sample handling to data analysis.
Area of Science:
- Virology
- Genomics
- Bioinformatics
Background:
- Next-generation sequencing (NGS) has revolutionized pathogen identification.
- Metagenomics offers untargeted screening capabilities for outbreak samples.
- Virus discovery is increasingly reliant on advanced sequencing technologies.
Purpose of the Study:
- To summarize critical aspects of NGS workflows for virus discovery.
- To identify potential pitfalls in metagenomic analysis for outbreak surveillance.
- To provide a comprehensive guide for optimizing NGS-based virus identification.
Main Methods:
- Review of key steps in metagenomic analysis for virus discovery.
- Emphasis on sample selection, handling, processing, and sequencing.
- Focus on data analysis strategies and common challenges.
Main Results:
- NGS-based metagenomics is technically and economically feasible for outbreak pathogen identification.
- Successful virus discovery requires careful consideration of each step in the workflow.
- Several pitfalls can compromise the accuracy and efficiency of NGS-based virus detection.
Conclusions:
- Optimizing NGS workflows is crucial for maximizing virus discovery potential.
- Awareness of common pitfalls can improve the reliability of metagenomic studies.
- Standardized approaches are needed to enhance NGS applications in public health surveillance.
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