Xie Shangqian, Leung Amy Wing-Sze, Zheng Zhenxian, Zhang Dake, Xiao Chuanle, Luo Ruibang, Luo Ming, Zhang Shoudong
Key Laboratory of Ministry of Education for Genetics and Germplasm Innovation of Tropical Special Trees and Ornamental Plants, College of Forestry, Hainan University, Haikou 570228, China.
Department of Computer Science, The University of Hong Kong, Hong Kong 999077, China.
Innovation (Camb). 2021 Aug 11;2(4):100153. doi: 10.1016/j.xinn.2021.100153. eCollection 2021 Nov 28.
The Human Genome Project opened an era of (epi)genomic research, and also provided a platform for the development of new sequencing technologies. During and after the project, several sequencing technologies continue to dominate nucleic acid sequencing markets. Currently, Illumina (short-read), PacBio (long-read), and Oxford Nanopore (long-read) are the most popular sequencing technologies. Unlike PacBio or the popular short-read sequencers before it, which, as examples of the second or so-called Next-Generation Sequencing platforms, need to synthesize when sequencing, nanopore technology directly sequences native DNA and RNA molecules. Nanopore sequencing, therefore, avoids converting mRNA into cDNA molecules, which not only allows for the sequencing of extremely long native DNA and full-length RNA molecules but also document modifications that have been made to those native DNA or RNA bases. In this review on direct DNA sequencing and direct RNA sequencing using Oxford Nanopore technology, we focus on their development and application achievements, discussing their challenges and future perspective. We also address the problems researchers may encounter applying these approaches in their research topics, and how to resolve them.
人类基因组计划开启了(表观)基因组研究的时代,也为新测序技术的发展提供了一个平台。在该计划期间及之后,有几种测序技术持续主导着核酸测序市场。目前,Illumina(短读长)、PacBio(长读长)和牛津纳米孔(长读长)是最受欢迎的测序技术。与PacBio或之前流行的短读长测序仪不同,作为第二代或所谓的下一代测序平台的示例,它们在测序时需要进行合成,而纳米孔技术可直接对天然DNA和RNA分子进行测序。因此,纳米孔测序避免了将mRNA转化为cDNA分子,这不仅能够对极长的天然DNA和全长RNA分子进行测序,还能记录对这些天然DNA或RNA碱基所做的修饰。在这篇关于使用牛津纳米孔技术进行直接DNA测序和直接RNA测序的综述中,我们重点关注它们的发展和应用成果,讨论它们面临的挑战和未来前景。我们还将探讨研究人员在将这些方法应用于其研究课题时可能遇到的问题,以及如何解决这些问题。