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      Nanopore Targeted Sequencing for the Accurate and Comprehensive Detection of SARS‐CoV‐2 and Other Respiratory Viruses

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          Abstract

          The ongoing global novel coronavirus pneumonia COVID‐19 outbreak has engendered numerous cases of infection and death. COVID‐19 diagnosis relies upon nucleic acid detection; however, currently recommended methods exhibit high false‐negative rates and are unable to identify other respiratory virus infections, thereby resulting in patient misdiagnosis and impeding epidemic containment. Combining the advantages of targeted amplification and long‐read, real‐time nanopore sequencing, herein, nanopore targeted sequencing (NTS) is developed to detect SARS‐CoV‐2 and other respiratory viruses simultaneously within 6–10 h, with a limit of detection of ten standard plasmid copies per reaction. Compared with its specificity for five common respiratory viruses, the specificity of NTS for SARS‐CoV‐2 reaches 100%. Parallel testing with approved real‐time reverse transcription‐polymerase chain reaction kits for SARS‐CoV‐2 and NTS using 61 nucleic acid samples from suspected COVID‐19 cases show that NTS identifies more infected patients (22/61) as positive, while also effectively monitoring for mutated nucleic acid sequences, categorizing types of SARS‐CoV‐2, and detecting other respiratory viruses in the test sample. NTS is thus suitable for COVID‐19 diagnosis; moreover, this platform can be further extended for diagnosing other viruses and pathogens.

          Abstract

          A detection technology, nanopore targeted sequencing (NTS), for the accurate and comprehensive detection of SARS‐CoV‐2 and other respiratory viruses within 6–10 h is developed, which is suitable for the identification of suspected cases and used as a supplementary technique for the SARS‐CoV‐2 test. NTS can also monitor mutations in the virus and the type of virus.

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          Most cited references11

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          Improved data analysis for the MinION nanopore sequencer

          The Oxford Nanopore MinION sequences individual DNA molecules using an array of pores that read nucleotide identities based on ionic current steps. We evaluated and optimized MinION performance using M13 genomic dsDNA. Using expectation-maximization (EM) we obtained robust maximum likelihood (ML) estimates for read insertion, deletion and substitution error rates (4.9%, 7.8%, and 5.1% respectively). We found that 99% of high-quality ‘2D’ MinION reads mapped to reference at a mean identity of 85%. We present a MinION-tailored tool for single nucleotide variant (SNV) detection that uses ML parameter estimates and marginalization over many possible read alignments to achieve precision and recall of up to 99%. By pairing our high-confidence alignment strategy with long MinION reads, we resolved the copy number for a cancer/testis gene family (CT47) within an unresolved region of human chromosome Xq24.
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            Targeted nanopore sequencing with Cas9-guided adaptor ligation

            Despite recent improvements in sequencing methods, there remains a need for assays that provide high sequencing depth and comprehensive variant detection. Current methods 1-4 are limited by the loss of native modifications, short read length, high input requirements, low yield, or long protocols. Here, we describe nanopore Cas9-targeted sequencing (nCATS), an enrichment strategy that uses targeted cleavage of chromosomal DNA with Cas9 to ligate adaptors for nanopore sequencing. We show that nCATS can simultaneously assess haplotype-resolved single-nucleotide variants (SNVs), structural variations (SVs) and CpG methylation. We apply nCATS to four cell lines, a cell-line-derived xenograft, and normal and paired tumor/normal primary human breast tissue. Median sequencing coverage was 675X using a minION flow cell and 34X using the smaller flongle flow cell. nCATS requires only ~3μg of genomic DNA and can target a large number of loci in a single reaction. The method will facilitate the use of long-read sequencing in research and in the clinic.
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              Metagenomic Sequencing Detects Respiratory Pathogens in Hematopoietic Cellular Transplant Patients

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                Author and article information

                Contributors
                wuwei@picb.ac.cn
                yanlitf1120@163.com
                liutg@whu.edu.cn
                Journal
                Small
                Small
                10.1002/(ISSN)1613-6829
                SMLL
                Small (Weinheim an Der Bergstrasse, Germany)
                John Wiley and Sons Inc. (Hoboken )
                1613-6810
                1613-6829
                24 June 2020
                : 2002169
                Affiliations
                [ 1 ] Department of Clinical Laboratory Renmin Hospital of Wuhan University Wuhan 430060 China
                [ 2 ] Key Laboratory of Combinatorial Biosynthesis and Drug Discovery Ministry of Education and Wuhan University School of Pharmaceutical Sciences Wuhan 430071 China
                [ 3 ] CAS Key Laboratory of Computational Biology CAS‐MPG Partner Institute for Computational Biology Shanghai Institute of Nutrition and Health University of Chinese Academy of Sciences Chinese Academy of Sciences Shanghai 200031 China
                [ 4 ] Wuhan Dgensee Clinical Laboratory Co., Ltd. Wuhan 430075 China
                [ 5 ] Wuhan Institute of Virology Chinese Academy of Sciences Wuhan 430071 China
                [ 6 ] Department of Internal Medicine Renmin Hospital of Wuhan University Wuhan 430060 China
                [ 7 ] Center for Biomedical Informatics Shanghai Engineering Research Center for Big Data in Pediatric Precision Medicine Shanghai Children's Hospital Shanghai Jiao Tong University Shanghai 200040 China
                Author notes
                Author information
                https://orcid.org/0000-0002-2836-1217
                https://orcid.org/0000-0002-3539-8093
                https://orcid.org/0000-0001-5451-1736
                https://orcid.org/0000-0002-9605-231X
                https://orcid.org/0000-0001-5671-2320
                https://orcid.org/0000-0002-4640-7370
                https://orcid.org/0000-0001-5643-8739
                https://orcid.org/0000-0001-8087-0345
                Article
                SMLL202002169
                10.1002/smll.202002169
                7361204
                32578378
                10e06393-d164-4322-b67b-b5c1a02a467d
                © 2020 The Authors. Published by WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 03 April 2020
                : 27 May 2020
                Page count
                Figures: 8, Tables: 2, Pages: 15, Words: 11686
                Funding
                Funded by: Emergency Project of Hubei Province
                Award ID: 2020FCA034
                Funded by: Fundamental Research Funds for the Central Universities , open-funder-registry 10.13039/501100012226;
                Award ID: 2042020kf1003
                Funded by: Wuhan Dgensee Clinical Laboratory Co., Ltd
                Funded by: National Key Research and Development Program of China , open-funder-registry 10.13039/501100012166;
                Award ID: 2017YFC0908405
                Funded by: National Natural Science Foundation of China , open-funder-registry 10.13039/501100001809;
                Award ID: 81870187
                Categories
                Full Paper
                Full Papers
                Custom metadata
                2.0
                corrected-proof
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.8.5 mode:remove_FC converted:15.07.2020

                Nanotechnology
                covid‐19,nanopore sequencing,respiratory virus,sars‐cov‐2,targeted amplification

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