Method

Ultralow-input single-tube linked-read library method enables short-read second-generation sequencing systems to routinely generate highly accurate and economical long-range sequencing information

    • 1Universal Sequencing Technology Corporation, Carlsbad, California 92011, USA;
    • 2Bioturing Incorporated, San Diego, California 92121, USA;
    • 3Faculty of Information Technology, University of Science, Vietnam National University, Ho Chi Minh City, 700 000 Vietnam;
    • 4Department of Pediatrics, University of California San Diego, La Jolla, California 92161, USA;
    • 5Center for Microbiome Innovation and Departments of Pediatrics, Bioengineering, and Computer Science and Engineering, University of California San Diego, La Jolla, California 92093, USA;
    • 6Department of Computer Science and Engineering, University of California San Diego, La Jolla, California 92093, USA;
    • 7Universal Sequencing Technology Corporation, Canton, Massachusetts 02021, USA
Published June 15, 2020. Vol 30 Issue 6, pp. 898-909. https://doi.org/10.1101/gr.260380.119
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Abstract

Long-range sequencing information is required for haplotype phasing, de novo assembly, and structural variation detection. Current long-read sequencing technologies can provide valuable long-range information but at a high cost with low accuracy and high DNA input requirements. We have developed a single-tube Transposase Enzyme Linked Long-read Sequencing (TELL-seq) technology, which enables a low-cost, high-accuracy, and high-throughput short-read second-generation sequencer to generate over 100 kb of long-range sequencing information with as little as 0.1 ng input material. In a PCR tube, millions of clonally barcoded beads are used to uniquely barcode long DNA molecules in an open bulk reaction without dilution and compartmentation. The barcoded linked-reads are used to successfully assemble genomes ranging from microbes to human. These linked-reads also generate megabase-long phased blocks and provide a cost-effective tool for detecting structural variants in a genome, which are important to identify compound heterozygosity in recessive Mendelian diseases and discover genetic drivers and diagnostic biomarkers in cancers.

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