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      Cas9-targeted nanopore sequencing reveals epigenetic heterogeneity after de novo assembly of native full-length hepatitis B virus genomes

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          Abstract

          Hepatitis B virus (HBV) contains a 3.2 kb DNA genome and causes acute and chronic hepatitis. HBV infection is a global health problem, with 350 million chronically infected people at increased risk of developing liver disease and hepatocellular carcinoma (HCC). Methylation of HBV DNA in a CpG context (5mCpG) can alter the expression patterns of viral genes related to infection and cellular transformation. Moreover, it may also provide clues as to why certain infections are cleared or persist with or without progression to cancer. The detection of 5mCpG often requires techniques that damage DNA or introduce bias through a myriad of limitations. Therefore, we developed a method for the detection of 5mCpG on the HBV genome that does not rely on bisulfite conversion or PCR. With Cas9-guided RNPs to specifically target the HBV genome, we enriched in HBV DNA from primary human hepatocytes (PHHs) infected with different HBV genotypes, as well as enriching in HBV from infected patient liver tissue, followed by sequencing with Oxford Nanopore Technologies MinION. Detection of 5mCpG by nanopore sequencing was benchmarked with bisulfite-quantitative methyl-specific qPCR (BS-qMSP). The 5mCpG levels in HBV determined by BS-qMSP and nanopore sequencing were highly correlated. Our nanopore sequencing approach achieved a coverage of ~2000× of HBV depending on infection efficiency, sufficient coverage to perform a de novo assembly and detect small fluctuations in HBV methylation, providing the first de novo assembly of native HBV DNA, as well as the first landscape of 5mCpG from native HBV sequences. Moreover, by capturing entire HBV genomes, we explored the epigenetic heterogeneity of HBV in infected patients and identified four epigenetically distinct clusters based on methylation profiles. This method is a novel approach that enables the enrichment of viral DNA in a mixture of nucleic acid material from different species and will serve as a valuable tool for infectious disease monitoring.

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          Minimap2: pairwise alignment for nucleotide sequences

          Heng Li (2018)
          Recent advances in sequencing technologies promise ultra-long reads of ∼100 kb in average, full-length mRNA or cDNA reads in high throughput and genomic contigs over 100 Mb in length. Existing alignment programs are unable or inefficient to process such data at scale, which presses for the development of new alignment algorithms.
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            Canu: scalable and accurate long-read assembly via adaptive k-mer weighting and repeat separation

            Long-read single-molecule sequencing has revolutionized de novo genome assembly and enabled the automated reconstruction of reference-quality genomes. However, given the relatively high error rates of such technologies, efficient and accurate assembly of large repeats and closely related haplotypes remains challenging. We address these issues with Canu, a successor of Celera Assembler that is specifically designed for noisy single-molecule sequences. Canu introduces support for nanopore sequencing, halves depth-of-coverage requirements, and improves assembly continuity while simultaneously reducing runtime by an order of magnitude on large genomes versus Celera Assembler 8.2. These advances result from new overlapping and assembly algorithms, including an adaptive overlapping strategy based on tf-idf weighted MinHash and a sparse assembly graph construction that avoids collapsing diverged repeats and haplotypes. We demonstrate that Canu can reliably assemble complete microbial genomes and near-complete eukaryotic chromosomes using either Pacific Biosciences (PacBio) or Oxford Nanopore technologies and achieves a contig NG50 of >21 Mbp on both human and Drosophila melanogaster PacBio data sets. For assembly structures that cannot be linearly represented, Canu provides graph-based assembly outputs in graphical fragment assembly (GFA) format for analysis or integration with complementary phasing and scaffolding techniques. The combination of such highly resolved assembly graphs with long-range scaffolding information promises the complete and automated assembly of complex genomes.
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              A greedy algorithm for aligning DNA sequences.

              For aligning DNA sequences that differ only by sequencing errors, or by equivalent errors from other sources, a greedy algorithm can be much faster than traditional dynamic programming approaches and yet produce an alignment that is guaranteed to be theoretically optimal. We introduce a new greedy alignment algorithm with particularly good performance and show that it computes the same alignment as does a certain dynamic programming algorithm, while executing over 10 times faster on appropriate data. An implementation of this algorithm is currently used in a program that assembles the UniGene database at the National Center for Biotechnology Information.
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                Author and article information

                Journal
                Microb Genom
                Microb Genom
                mgen
                mgen
                Microbial Genomics
                Microbiology Society
                2057-5858
                2021
                18 May 2021
                18 May 2021
                : 7
                : 5
                : 000507
                Affiliations
                [ 1] departmentINSERM U1052 , CNRS UMR-5286, TGFB and Immune Evasion, Lyon Cancer Research Center (CRCL) , Lyon, France
                [ 2] departmentINSERM U1052 , CNRS UMR-5286, Cancer Research Center of Lyon (CRCL) , Lyon, France
                [ 3] Inserm, Univ-Rennes, INRAe, Institut Nutrition, Metabolism and Cancer (NuMeCan) , UMR_S 1241, Rennes, France
                [ 4] departmentCentre Leon Berard (CLB) , Lyon Cancer Research Center (CRCL) , Lyon, France
                Author notes
                *Correspondence: Chloe Goldsmith, chloe.goldsmith@ 123456lyon.unicancer.fr
                *Correspondence: Isabelle Chemin, isabelle.chemin@ 123456inserm.fr
                Author information
                https://orcid.org/0000-0002-1041-4333
                https://orcid.org/0000-0003-3270-7003
                https://orcid.org/0000-0002-7236-2911
                https://orcid.org/0000-0001-6045-2103
                https://orcid.org/0000-0002-7188-5489
                Article
                000507
                10.1099/mgen.0.000507
                8209722
                34003741
                2d57e77c-3646-42b2-898a-49ba82112e8e
                © 2021 The Authors

                This is an open-access article distributed under the terms of the Creative Commons Attribution License.

                History
                : 05 January 2021
                : 11 April 2021
                Funding
                Funded by: Ligue Contre le Cancer
                Award ID: AAP 2018
                Award Recipient : NotApplicable
                Funded by: Agence Nationale de Recherches sur le Sida et les Hépatites Virales
                Award ID: ECTZ50137
                Award Recipient : NotApplicable
                Funded by: Agence Nationale de Recherches sur le Sida et les Hépatites Virales
                Award ID: ECTZ47287
                Award Recipient : ApplicableNot
                Funded by: Agence Nationale de Recherches sur le Sida et les Hépatites Virales
                Award ID: CTZ107765
                Award Recipient : CheminIsabelle
                Categories
                Research Articles
                Pathogens and Epidemiology
                Custom metadata
                0

                dna methylation,nanopore,epigenetics,5mc,hbv,ont,cccdna,cirrhosis,hcc,long-read sequencing

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