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A streamlined clinical metagenomic sequencing protocol for rapid pathogen identification
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 Oxf...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7902651/ https://www.ncbi.nlm.nih.gov/pubmed/33623127 http://dx.doi.org/10.1038/s41598-021-83812-x |
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author | Jia, Xiaofang Hu, Lvyin Wu, Min Ling, Yun Wang, Wei Lu, Hongzhou Yuan, Zhenghong Yi, Zhigang Zhang, Xiaonan |
author_facet | Jia, Xiaofang Hu, Lvyin Wu, Min Ling, Yun Wang, Wei Lu, Hongzhou Yuan, Zhenghong Yi, Zhigang Zhang, Xiaonan |
author_sort | Jia, Xiaofang |
collection | PubMed |
description | 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 × 10(2) 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 | Online Article Text |
id | pubmed-7902651 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-79026512021-02-25 A streamlined clinical metagenomic sequencing protocol for rapid pathogen identification Jia, Xiaofang Hu, Lvyin Wu, Min Ling, Yun Wang, Wei Lu, Hongzhou Yuan, Zhenghong Yi, Zhigang Zhang, Xiaonan Sci Rep Article 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 × 10(2) 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. Nature Publishing Group UK 2021-02-23 /pmc/articles/PMC7902651/ /pubmed/33623127 http://dx.doi.org/10.1038/s41598-021-83812-x Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Jia, Xiaofang Hu, Lvyin Wu, Min Ling, Yun Wang, Wei Lu, Hongzhou Yuan, Zhenghong Yi, Zhigang Zhang, Xiaonan A streamlined clinical metagenomic sequencing protocol for rapid pathogen identification |
title | 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_short | A streamlined clinical metagenomic sequencing protocol for rapid pathogen identification |
title_sort | streamlined clinical metagenomic sequencing protocol for rapid pathogen identification |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7902651/ https://www.ncbi.nlm.nih.gov/pubmed/33623127 http://dx.doi.org/10.1038/s41598-021-83812-x |
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