放大器
纳米孔测序
扩增子测序
计算生物学
生物
标识符
共识序列
DNA测序
计算机科学
遗传学
基因
基序列
聚合酶链反应
16S核糖体RNA
程序设计语言
作者
Søren Michael Karst,Ryan Ziels,Rasmus Hansen Kirkegaard,Emil A. Sørensen,Daniel McDonald,Qiyun Zhu,Rob Knight,Mads Albertsen
出处
期刊:Nature Methods
[Springer Nature]
日期:2021-01-11
卷期号:18 (2): 165-169
被引量:237
标识
DOI:10.1038/s41592-020-01041-y
摘要
High-throughput amplicon sequencing of large genomic regions remains challenging for short-read technologies. Here, we report a high-throughput amplicon sequencing approach combining unique molecular identifiers (UMIs) with Oxford Nanopore Technologies (ONT) or Pacific Biosciences circular consensus sequencing, yielding high-accuracy single-molecule consensus sequences of large genomic regions. We applied our approach to sequence ribosomal RNA operon amplicons (~4,500 bp) and genomic sequences (>10,000 bp) of reference microbial communities in which we observed a chimera rate <0.02%. To reach a mean UMI consensus error rate <0.01%, a UMI read coverage of 15× (ONT R10.3), 25× (ONT R9.4.1) and 3× (Pacific Biosciences circular consensus sequencing) is needed, which provides a mean error rate of 0.0042%, 0.0041% and 0.0007%, respectively.
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