Torkamaneh Davoud, Boyle Brian, St-Cyr Jérôme, Légaré Gaétan, Pomerleau Sonia, Belzile François
Département de Phytologie, Université Laval, Québec City, QC, Canada.
Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec City, QC, Canada.
Front Genet. 2020 Feb 18;11:67. doi: 10.3389/fgene.2020.00067. eCollection 2020.
High-throughput reduced-representation sequencing (RRS)-based genotyping methods, such as genotyping-by-sequencing (GBS), have provided attractive genotyping solutions in numerous species. Here, we present NanoGBS, a miniaturized and eco-friendly method for GBS library construction. Using acoustic droplet ejection (ADE) technology, NanoGBS libraries were constructed in tenfold smaller volumes compared to standard methods (StdGBS) and leading to a reduced use of plastics of up to 90%. A high-quality DNA library and SNP catalogue were obtained with extensive overlap (96%) in SNP loci and 100% agreement in genotype calls compared to the StdGBS dataset with a high level of accuracy (98.5%). A highly multiplexed pool of GBS libraries (768-plex) was sequenced on a single Ion Proton PI chip and yielded enough SNPs (~4K SNPs; 1.5 SNP per cM, on average) for many high-volume applications. Combining NanoGBS library preparation and increased multiplexing can dramatically reduce (72%) genotyping cost per sample. We believe that this approach will greatly facilitate the adoption of marker applications where extremely high throughputs are required and cost is still currently limiting.
基于高通量简化基因组测序(RRS)的基因分型方法,如简化基因组测序(GBS),已为众多物种提供了有吸引力的基因分型解决方案。在此,我们介绍了NanoGBS,一种用于GBS文库构建的小型化且环保的方法。使用声学液滴喷射(ADE)技术构建的NanoGBS文库,其体积比标准方法(StdGBS)小十倍,从而减少了高达90%的塑料使用量。与StdGBS数据集相比,获得了高质量的DNA文库和SNP目录,SNP位点有广泛的重叠(96%),基因型调用有100%的一致性,且准确性很高(98.5%)。在单个Ion Proton PI芯片上对高度多重化的GBS文库池(768重)进行测序,产生了足够的SNP(约4K个SNP;平均每厘摩1.5个SNP),可用于许多大规模应用。结合NanoGBS文库制备和增加多重化可以显著降低(72%)每个样本的基因分型成本。我们相信,这种方法将极大地促进在需要极高通量且成本目前仍然是限制因素的情况下标记应用的采用。