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      Targeted genomic sequencing with probe capture for discovery and surveillance of coronaviruses in bats

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      eLife
      eLife Sciences Publications, Ltd
      probe capture, coronavirus, bat, genome, DNA sequencing, Viruses

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          Abstract

          Public health emergencies like SARS, MERS, and COVID-19 have prioritized surveillance of zoonotic coronaviruses, resulting in extensive genomic characterization of coronavirus diversity in bats. Sequencing viral genomes directly from animal specimens remains a laboratory challenge, however, and most bat coronaviruses have been characterized solely by PCR amplification of small regions from the best-conserved gene. This has resulted in limited phylogenetic resolution and left viral genetic factors relevant to threat assessment undescribed. In this study, we evaluated whether a technique called hybridization probe capture can achieve more extensive genome recovery from surveillance specimens. Using a custom panel of 20,000 probes, we captured and sequenced coronavirus genomic material in 21 swab specimens collected from bats in the Democratic Republic of the Congo. For 15 of these specimens, probe capture recovered more genome sequence than had been previously generated with standard amplicon sequencing protocols, providing a median 6.1-fold improvement (ranging up to 69.1-fold). Probe capture data also identified five novel alpha- and betacoronaviruses in these specimens, and their full genomes were recovered with additional deep sequencing. Based on these experiences, we discuss how probe capture could be effectively operationalized alongside other sequencing technologies for high-throughput, genomics-based discovery and surveillance of bat coronaviruses.

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          Most cited references54

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          The Sequence Alignment/Map format and SAMtools

          Summary: The Sequence Alignment/Map (SAM) format is a generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms. It is flexible in style, compact in size, efficient in random access and is the format in which alignments from the 1000 Genomes Project are released. SAMtools implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments. Availability: http://samtools.sourceforge.net Contact: rd@sanger.ac.uk
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            Fast and accurate short read alignment with Burrows–Wheeler transform

            Motivation: The enormous amount of short reads generated by the new DNA sequencing technologies call for the development of fast and accurate read alignment programs. A first generation of hash table-based methods has been developed, including MAQ, which is accurate, feature rich and fast enough to align short reads from a single individual. However, MAQ does not support gapped alignment for single-end reads, which makes it unsuitable for alignment of longer reads where indels may occur frequently. The speed of MAQ is also a concern when the alignment is scaled up to the resequencing of hundreds of individuals. Results: We implemented Burrows-Wheeler Alignment tool (BWA), a new read alignment package that is based on backward search with Burrows–Wheeler Transform (BWT), to efficiently align short sequencing reads against a large reference sequence such as the human genome, allowing mismatches and gaps. BWA supports both base space reads, e.g. from Illumina sequencing machines, and color space reads from AB SOLiD machines. Evaluations on both simulated and real data suggest that BWA is ∼10–20× faster than MAQ, while achieving similar accuracy. In addition, BWA outputs alignment in the new standard SAM (Sequence Alignment/Map) format. Variant calling and other downstream analyses after the alignment can be achieved with the open source SAMtools software package. Availability: http://maq.sourceforge.net Contact: rd@sanger.ac.uk
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              A pneumonia outbreak associated with a new coronavirus of probable bat origin

              Since the outbreak of severe acute respiratory syndrome (SARS) 18 years ago, a large number of SARS-related coronaviruses (SARSr-CoVs) have been discovered in their natural reservoir host, bats 1–4 . Previous studies have shown that some bat SARSr-CoVs have the potential to infect humans 5–7 . Here we report the identification and characterization of a new coronavirus (2019-nCoV), which caused an epidemic of acute respiratory syndrome in humans in Wuhan, China. The epidemic, which started on 12 December 2019, had caused 2,794 laboratory-confirmed infections including 80 deaths by 26 January 2020. Full-length genome sequences were obtained from five patients at an early stage of the outbreak. The sequences are almost identical and share 79.6% sequence identity to SARS-CoV. Furthermore, we show that 2019-nCoV is 96% identical at the whole-genome level to a bat coronavirus. Pairwise protein sequence analysis of seven conserved non-structural proteins domains show that this virus belongs to the species of SARSr-CoV. In addition, 2019-nCoV virus isolated from the bronchoalveolar lavage fluid of a critically ill patient could be neutralized by sera from several patients. Notably, we confirmed that 2019-nCoV uses the same cell entry receptor—angiotensin converting enzyme II (ACE2)—as SARS-CoV.
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                Author and article information

                Contributors
                Role: Reviewing Editor
                Role: Senior Editor
                Journal
                eLife
                Elife
                eLife
                eLife
                eLife Sciences Publications, Ltd
                2050-084X
                08 November 2022
                2022
                08 November 2022
                : 11
                : e79777
                Affiliations
                [1 ] Department of Pathology and Laboratory Medicine, University of British Columbia ( https://ror.org/03rmrcq20) Vancouver Canada
                [2 ] Public Health Laboratory, British Columbia Centre for Disease Control ( https://ror.org/05jyzx602) Vancouver Canada
                [3 ] Department of Biology, Faculty of Science, University of Regina ( https://ror.org/03dzc0485) Regina Canada
                [4 ] Institute for Microbial Systems and Society, Faculty of Science, University of Regina ( https://ror.org/03dzc0485) Regina Canada
                [5 ] Metabiota Inc Kinshasa Democratic Republic of the Congo
                [6 ] Institut National de Recherche Biomédicale Kinshasa Democratic Republic of the Congo
                [7 ] Labyrinth Global Health Inc St. Petersburg United States
                [8 ] Metabiota Inc ( https://ror.org/047yqrk88) San Francisco United States
                [9 ] Development Alternatives Washington United States
                [10 ] Mosaic Yaoundé Cameroon
                [11 ] Metabiota Nanaimo Canada
                [12 ] Southbridge Care Cambridge Canada
                [13 ] One Health Institute, School of Veterinary Medicine, University of California, Davis ( https://ror.org/05rrcem69) Davis United States
                [14 ] Nyati Health Consulting Nanaimo Canada
                [15 ] Institute for Global Health Sciences, University of California, San Francisco ( https://ror.org/043mz5j54) San Francisco United States
                University of the Witwatersrand ( https://ror.org/03rp50x72) South Africa
                University of the Witwatersrand ( https://ror.org/03rp50x72) South Africa
                University of the Witwatersrand ( https://ror.org/03rp50x72) South Africa
                University of the Witwatersrand ( https://ror.org/03rp50x72) South Africa
                Garvan Institute of Medical Research ( https://ror.org/01b3dvp57) Australia
                Author information
                https://orcid.org/0000-0001-7588-4910
                https://orcid.org/0000-0003-2145-7010
                https://orcid.org/0000-0002-9507-1674
                https://orcid.org/0000-0002-0664-9367
                https://orcid.org/0000-0003-1560-8572
                Article
                79777
                10.7554/eLife.79777
                9643004
                36346652
                7c7035dd-cbb0-4b3a-a9a9-76b6b50e8756
                © 2022, Kuchinski et al

                This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

                History
                : 26 April 2022
                : 18 October 2022
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100008762, Genome Canada;
                Award ID: COV3R
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000106, Saskatchewan Health Research Foundation;
                Award ID: COV3R
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000200, United States Agency for International Development;
                Award ID: AID-OAA-A-14-00102
                Award Recipient :
                The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
                Categories
                Research Article
                Microbiology and Infectious Disease
                Custom metadata
                Hybridization probe capture is useful for discovery and surveillance of novel coronaviruses, and its unique strengths complement existing methods like amplicon sequencing and deep metagenomic sequencing.

                Life sciences
                probe capture,coronavirus,bat,genome,dna sequencing,viruses
                Life sciences
                probe capture, coronavirus, bat, genome, dna sequencing, viruses

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