A streamlined clinical metagenomic sequencing protocol for rapid pathogen identification
Abstract Metagenomic next-generation sequencing (mNGS) holds promise as a diagnostic tool for unbiased pathogen identification and precision medicine. However, its medical utility depends largely on assay simplicity and reproducibility. In the current study, we aimed to develop a streamlined Illumin...
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Nature Portfolio
2021
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oai:doaj.org-article:a5a761cc97394abdbafba8f4543400282021-12-02T16:23:14ZA streamlined clinical metagenomic sequencing protocol for rapid pathogen identification10.1038/s41598-021-83812-x2045-2322https://doaj.org/article/a5a761cc97394abdbafba8f4543400282021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-83812-xhttps://doaj.org/toc/2045-2322Abstract Metagenomic next-generation sequencing (mNGS) holds promise as a diagnostic tool for unbiased pathogen identification and precision medicine. However, its medical utility depends largely on assay simplicity and reproducibility. In the current study, we aimed to develop a streamlined Illumina and Oxford Nanopore-based DNA/RNA library preparation protocol and rapid data analysis pipeline. The Illumina sequencing-based mNGS method was first developed and evaluated using a set of samples with known aetiology. Its sensitivity for RNA viruses (influenza A, H1N1) was < 6.4 × 102 EID50/mL, and a good correlation between viral loads and mapped reads was observed. Then, the rapid turnaround time of Nanopore sequencing was tested by sequencing influenza A virus and adenoviruses. Furthermore, 11 respiratory swabs or sputum samples pre-tested for a panel of pathogens were analysed, and the pathogens identified by Illumina sequencing showed 81.8% concordance with qPCR results. Additional sequencing of cerebrospinal fluid (CSF) samples from HIV-1-positive patients with meningitis/encephalitis detected HIV-1 RNA and Toxoplasma gondii sequences. In conclusion, we have developed a simplified protocol that realizes efficient metagenomic sequencing of a variety of clinical samples and pathogen identification in a clinically meaningful time frame.Xiaofang JiaLvyin HuMin WuYun LingWei WangHongzhou LuZhenghong YuanZhigang YiXiaonan ZhangNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021) |
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Medicine R Science Q Xiaofang Jia Lvyin Hu Min Wu Yun Ling Wei Wang Hongzhou Lu Zhenghong Yuan Zhigang Yi Xiaonan Zhang A streamlined clinical metagenomic sequencing protocol for rapid pathogen identification |
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Abstract Metagenomic next-generation sequencing (mNGS) holds promise as a diagnostic tool for unbiased pathogen identification and precision medicine. However, its medical utility depends largely on assay simplicity and reproducibility. In the current study, we aimed to develop a streamlined Illumina and Oxford Nanopore-based DNA/RNA library preparation protocol and rapid data analysis pipeline. The Illumina sequencing-based mNGS method was first developed and evaluated using a set of samples with known aetiology. Its sensitivity for RNA viruses (influenza A, H1N1) was < 6.4 × 102 EID50/mL, and a good correlation between viral loads and mapped reads was observed. Then, the rapid turnaround time of Nanopore sequencing was tested by sequencing influenza A virus and adenoviruses. Furthermore, 11 respiratory swabs or sputum samples pre-tested for a panel of pathogens were analysed, and the pathogens identified by Illumina sequencing showed 81.8% concordance with qPCR results. Additional sequencing of cerebrospinal fluid (CSF) samples from HIV-1-positive patients with meningitis/encephalitis detected HIV-1 RNA and Toxoplasma gondii sequences. In conclusion, we have developed a simplified protocol that realizes efficient metagenomic sequencing of a variety of clinical samples and pathogen identification in a clinically meaningful time frame. |
format |
article |
author |
Xiaofang Jia Lvyin Hu Min Wu Yun Ling Wei Wang Hongzhou Lu Zhenghong Yuan Zhigang Yi Xiaonan Zhang |
author_facet |
Xiaofang Jia Lvyin Hu Min Wu Yun Ling Wei Wang Hongzhou Lu Zhenghong Yuan Zhigang Yi Xiaonan Zhang |
author_sort |
Xiaofang Jia |
title |
A streamlined clinical metagenomic sequencing protocol for rapid pathogen identification |
title_short |
A streamlined clinical metagenomic sequencing protocol for rapid pathogen identification |
title_full |
A streamlined clinical metagenomic sequencing protocol for rapid pathogen identification |
title_fullStr |
A streamlined clinical metagenomic sequencing protocol for rapid pathogen identification |
title_full_unstemmed |
A streamlined clinical metagenomic sequencing protocol for rapid pathogen identification |
title_sort |
streamlined clinical metagenomic sequencing protocol for rapid pathogen identification |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/a5a761cc97394abdbafba8f454340028 |
work_keys_str_mv |
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