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Low-cost high-throughput targeted sequencing for the accurate detection of respiratory tract pathogens.

Authors :
Ju C
Zhou C
Deng Z
Gao J
Jiang W
Zeng H
Huang H
Duan Y
Deng DX
Source :
Journal of infection in developing countries [J Infect Dev Ctries] 2024 Sep 30; Vol. 18 (9.1), pp. S50-S55. Date of Electronic Publication: 2024 Sep 30.
Publication Year :
2024

Abstract

Introduction: The current gold standard for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) diagnosis by real-time reverse transcriptase polymerase chain reaction (RT-PCR) is limited by the number of genes that can be detected. In this study, we developed a low-cost and high-throughput next-generation sequencing technology that can overcome the limitations of real time RT-PCR.<br />Methodology: A targeted sequencing panel (TSP) consisting of approximately 500 amplicons was designed. This panel could simultaneously detect a broad range of gene loci of SARS-CoV-2, and genes for the most common infectious viruses that affect the respiratory tract, in a single run and could include up to 96 samples. Four hundred and forty-eight samples and 31 control samples were analyzed independently with both TSP and RT-PCR, and the results were compared for accuracy and other indicators.<br />Results: TSP identified 50 SARS-CoV-2 positive samples with a 99.33% match to RT-PCR results. It is not surprising that TSP also identified multiple infections from the 96 samples, whereas RT-PCR could not. Thus, TSP was able to accurately diagnose the samples which could not be identified based on single RT-PCR test.<br />Conclusions: Our data demonstrated that TSP is a fast and accurate testing method for identifying multiple pathogen infections of the respiratory tract.<br />Competing Interests: No Conflict of Interest is declared<br /> (Copyright (c) 2024 Changyan Ju, Chengbosen Zhou, Zhezhi Deng, Jingwei Gao, Weizhao Jiang, Hanbing Zeng, Haiwei Huang, Yongxiang Duan, David X Deng.)

Details

Language :
English
ISSN :
1972-2680
Volume :
18
Issue :
9.1
Database :
MEDLINE
Journal :
Journal of infection in developing countries
Publication Type :
Academic Journal
Accession number :
39499747
Full Text :
https://doi.org/10.3855/jidc.19685