Tibotec-Virco Virology, Department of Translational Genomics & Genetics, Janssen Pharmaceutical Companies of Johnson & Johnson, Turnhoutseweg 30, Beerse, Belgium.
Biotechniques. 2011 Sep;51(3):167-77. doi: 10.2144/000113733.
Ultra-deep sequencing (UDS) of amplicons is a major application for next-generation sequencing technologies, even more so for the 454 Genome Sequencer FLX. Especially for this application, errors that might be introduced during any of the sample processing or data analysis steps should be avoided or at least recognized, as they might lead to aberrant sequence variant calling. Since 454 pyrosequencing relies on PCR-driven target amplification, it is key to differentiate errors introduced during the amplification step from genuine minority variants. Thereto, optimal primer design is imperative because primer selection, primer dimer formation, and nonspecific binding may all affect the quality and outcome of amplicon-based deep sequencing. Also, other intrinsic PCR characteristics including amplification drift and the formation of secondary structures may influence sequencing data quality. We illustrate these phenomena using real life case studies and propose experimental and analytical evidence-based solutions for effective practice. Furthermore, because accuracy of the DNA polymerase is vital for reliable UDS results, a comparative analysis of error profiles from seven different DNA polymerases was performed and experimentally assessed in parallel by 454 sequencing. Finally, intra and interrun variability evaluation of the 454 sequencing protocol revealed highly reproducible results in amplicon-based UDS.
超高深度测序(UDS)的扩增子是下一代测序技术的主要应用,454 基因组测序仪 FLX 更是如此。特别是对于这种应用,在任何样品处理或数据分析步骤中引入的错误都应该避免或至少被识别出来,因为它们可能导致异常的序列变异调用。由于 454 焦磷酸测序依赖于 PCR 驱动的靶扩增,因此区分扩增步骤中引入的错误与真正的少数变体至关重要。为此,最佳引物设计至关重要,因为引物选择、引物二聚体形成和非特异性结合都可能影响基于扩增子的深度测序的质量和结果。此外,包括扩增漂移和二级结构形成在内的其他内在 PCR 特征也可能影响测序数据的质量。我们使用实际案例研究来说明这些现象,并提出基于实验和分析的有效解决方案。此外,由于 DNA 聚合酶的准确性对于可靠的 UDS 结果至关重要,因此对七种不同的 DNA 聚合酶的错误谱进行了比较分析,并通过 454 测序进行了平行的实验评估。最后,454 测序协议的内和间运行变异性评估显示基于扩增子的 UDS 具有高度可重复性的结果。