A workflow for practical training in ecological genomics using Oxford Nanopore long-read sequencing

Robert Foster, Heleen De Weerd, Nathan C Medd, Tim Booth, Caitlin Newman, Helen Ritch, Javier Santoyo-Lopez, Urmi Trivedi, Alex D Twyford
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Abstract

Long-read single molecule sequencing technologies continue to grow in popularity for genome assembly and provide an effective way to resolve large and complex genomic variants. However, uptake of these technologies for teaching and training is hampered by the complexity of high molecular weight DNA extraction protocols, the time required for library preparation and the costs for sequencing, as well as challenges with downstream data analyses. Here, we present a full long-read workflow optimised for teaching, that covers each stage from DNA extraction, to library preparation and sequencing, to data QC and genome assembly and characterisation, that can be completed in under two weeks. We use a specific case study of plant identification, where students identify an anonymous plant sample by sequencing and assembling the genome and comparing it to other samples and to reference databases. In testing, long-read genome skimming of nine wild-collected plant species extracted with a modified kit-based approach produced an average of 8Gb of Oxford Nanopore data, enabling the complete assembly of plastid genomes, and partial assembly of nuclear genomes. In the classroom, all students were able to complete the protocols, and to correctly identify their plant samples based on BOLD searches of barcoding loci extracted from the plastid genome, coupled with phylogenetic analyses of whole plastid genomes. We supply all the learning material and raw data allowing this to be adapted to a range of teaching settings.
利用牛津纳米孔长读数测序技术进行生态基因组学实践培训的工作流程
长线程单分子测序技术在基因组组装中的应用日益普及,为解决大型复杂基因组变异问题提供了有效途径。然而,高分子量 DNA 提取方案的复杂性、文库制备所需的时间和测序成本,以及下游数据分析所面临的挑战,阻碍了这些技术在教学和培训中的应用。在这里,我们提出了一个针对教学进行优化的完整长读取工作流程,涵盖从 DNA 提取、文库制备和测序、数据质控到基因组组装和表征的各个阶段,可在两周内完成。我们利用植物鉴定的具体案例研究,让学生通过基因组测序和组装,并与其他样本和参考数据库进行比较,来鉴定匿名植物样本。在测试过程中,使用改良的试剂盒方法提取的九种野生采集植物物种的长线程基因组略读平均产生了 8Gb 的牛津纳米孔数据,实现了质体基因组的完整组装和核基因组的部分组装。在课堂上,所有学生都能完成实验方案,并能根据从质体基因组中提取的条形码位点的 BOLD 搜索结果,结合整个质体基因组的系统发生学分析,正确识别他们的植物样本。我们提供所有的学习材料和原始数据,因此可以适应各种教学环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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