Lang Jidong, Zhu Rongrong, Sun Xue, Zhu Siyu, Li Tianbao, Shi Xiaoli, Sun Yanqi, Yang Zhou, Wang Weiwei, Bing Pingping, He Binsheng, Tian Geng
Bioinformatics and R and D Department, Geneis (Beijing) Co. Ltd., Beijing, China.
Qingdao Geneis Institute of Big Data Mining and Precision Medicine, Qingdao, China.
Front Genet. 2021 Oct 27;12:730519. doi: 10.3389/fgene.2021.730519. eCollection 2021.
Illumina is the leading sequencing platform in the next-generation sequencing (NGS) market globally. In recent years, MGI Tech has presented a series of new sequencers, including DNBSEQ-T7, MGISEQ-2000 and MGISEQ-200. As a complex application of NGS, cancer-detecting panels pose increasing demands for the high accuracy and sensitivity of sequencing and data analysis. In this study, we used the same capture DNA libraries constructed based on the Illumina protocol to evaluate the performance of the Illumina Nextseq500 and MGISEQ-2000 sequencing platforms. We found that the two platforms had high consistency in the results of hotspot mutation analysis; more importantly, we found that there was a significant loss of fragments in the 101-133 bp size range on the MGISEQ-2000 sequencing platform for Illumina libraries, but not for the capture DNA libraries prepared based on the MGISEQ protocol. This phenomenon may indicate fragment selection or low fragment ligation efficiency during the DNA circularization step, which is a unique step of the MGISEQ-2000 sequence platform. In conclusion, these different sequencing libraries and corresponding sequencing platforms are compatible with each other, but protocol and platform selection need to be carefully evaluated in combination with research purpose.
Illumina是全球下一代测序（NGS）市场中领先的测序平台。近年来，华大智造推出了一系列新的测序仪，包括DNBSEQ-T7、MGISEQ-2000和MGISEQ-200。作为NGS的复杂应用，癌症检测面板对测序和数据分析的高精度和高灵敏度提出了越来越高的要求。在本研究中，我们使用基于Illumina方案构建的相同捕获DNA文库来评估Illumina Nextseq500和MGISEQ-2000测序平台的性能。我们发现，两个平台在热点突变分析结果上具有高度一致性；更重要的是，我们发现在MGISEQ-2000测序平台上，针对Illumina文库，在101-133 bp大小范围内存在明显的片段丢失，但基于MGISEQ方案制备的捕获DNA文库则没有这种情况。这种现象可能表明在DNA环化步骤中存在片段选择或片段连接效率低下的问题，而这是MGISEQ-2000序列平台独有的步骤。总之，这些不同的测序文库和相应的测序平台相互兼容，但需要结合研究目的仔细评估方案和平台的选择。
