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Analysis Comparison for Rapid Identification of Pathogenic Virus from Infected Tissue Samples
Junji Hosokawa-Muto1, Yukiko Sassa-O'Brien2, Yoshihito Fujinami1
1Fifth Biology Section, First Department of Forensic Science, National Research Institute of Police Science, Kashiwa 277-0882, Chiba, Japan.
Diagnostics (Basel, Switzerland)
|January 21, 2022
Summary
Rapidly identifying viral pathogens from infected tissues is crucial. Next-generation sequencing, particularly MinION, proved effective for influenza virus detection in mouse lung samples, outperforming the RDV method.
Area of Science:
- Virology
- Molecular Biology
- Genomics
Background:
- Rapid identification of infectious agents is critical for timely diagnosis and treatment.
- Previous studies utilized the rapid determination of viral genome sequences (RDV) method for swab samples.
Purpose of the Study:
- To investigate suitable methods for rapid pathogen identification from infected tissue samples.
- To compare the efficacy of the RDV method and next-generation sequencing (NGS) for influenza virus detection in mouse lung tissue.
Main Methods:
- Influenza virus was inoculated into mice to generate infected lung tissue samples.
- RNA was extracted, converted to cDNA, and analyzed using the RDV method and NGS (MiSeq and MinION).
Main Results:
- The RDV method failed to detect the influenza virus in infected tissue samples.
- NGS successfully detected influenza virus reads in the same samples.
- MinION sequencing demonstrated shorter library and sequence preparation times compared to MiSeq.
Conclusions:
- NGS is a more suitable method than the RDV method for rapid viral pathogen identification in infected tissues.
- MinION sequencing is currently the preferred method for rapid viral identification from infectious samples due to its speed.
Keywords:
detectionexhaustive gene amplificationforensicidentificationinfectious diseasenext-generation sequencingquantitative PCRreadtissue samplevirus
