在大小选择过程中,ddRADseq库构建的一种经济有效的替代方法

Münevver Oral
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摘要

下一代测序(NGS)技术是21世纪最强大的科学进步,有望在生物学领域快速、经济地生成数据。然而,最新的NGS研究仍然往往局限于具有既定资源的实验室。在本研究中,我们采用常规实验室耗材(琼脂糖凝胶电泳:AGE之后)与高科技NGS耗材(顺磁珠)在尺寸选择上的对比来构建ddRADseq文库。根据普遍使用的顺磁珠选择测序大小,构建ddRADseq文库,以剩余的等价物为模板,评估在资源有限的实验室使用AGE构建ddRADseq文库的可行性。对两个文库进行了15个PCR循环优化,表明模板强度相似。文库的pcr后定量具有可比性(~10 ng.µL-1)。大小分布评估显示了基于AGE手动选择的ddRADseq库大小的更干净的选择。同样,量子比特的插层剂证实了文库的数量相似(>3 ng.µL-1)。虽然由于电泳前准备、连续洗涤和染色步骤更耗时,但ddRADseq文库的构建是可以实现的,使用常规的实验室耗材来提供适配器和PCR引物,用于最初的湿实验室工作。这些结果表明了在资源有限的实验室中生成ddRADseq库的可行性。
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A cost effective alternative method to ddRADseq library construction during size selection
Next generation sequencing (NGS) technologies constitute the most powerful scientific advance of 21st century with a promise of fast and cost effective data generation in biology. Yet, up to date NGS studies remain often limited to laboratories with established resources. In the present study, we employed construction of ddRADseq library by using routine lab consumables (agarose gel electrophoresis: AGE thereafter) compared to high-tech NGS consumables (paramagnetic beads) during size selection. The ddRADseq library was constructed for sequencing size selected based on universally used paramagnetic beads, while remaining aliquot was used as a template to assess the feasibility of ddRADseq library construction using AGE for labs with limited resources. Both libraries were optimised for 15 PCR cycles indicating similarity in template intensity. Post-PCR quantification of the libraries was comparable (~10 ng.µL-1). Size distribution assessment revealed a cleaner pick at the ddRADseq library size selected manually based on AGE. Similarly, intercalating agent of Qubit confirmed the quantity of libraries was similar (>3 ng.µL-1). Although being more time consuming due to pre-electrophoresis preparations, serial wash and staining steps, ddRADseq library construction is achievable using routine lab consumables provided to supply the adaptors and PCR primers for the initial wet-lab work. These results manifest the feasibility of ddRADseq library generation for labs with limited resources.
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