细菌基因组和宏基因组Illumina测序现有文库制备试剂盒的测序偏倚比较

Mitsuhiko P. Sato, Yoshitoshi Ogura, Keiji Nakamura, Ruriko Nishida, Yasuhiro Gotoh, Masahiro Hayashi, Junzo Hisatsune, M. Sugai, Itoh Takehiko, Tetsuya Hayashi
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引用次数: 74

摘要

在细菌基因组和宏基因组测序中,Illumina测序仪因其高通量而被广泛使用,目前已有多种针对Illumina平台的文库制备试剂盒被开发出来。在这里,我们系统地分析和比较了目前可用的文库制备试剂盒对Illumina测序产生的测序偏倚。我们的分析显示,Nextera XT试剂盒在低gc区域引入了强烈的测序偏倚。引入的偏置程度取决于GC含量的水平;随着GC含量的减少,会产生更强的偏置。其他分析试剂盒没有引入这种强烈的测序偏差。在模拟细菌群落的宏基因组测序中,Nextera XT引入的GC含量相关测序偏倚更为显著,严重影响了低GC物种相对丰度的估计。我们的分析结果强调了根据测序的目的和目标选择合适的文库制备试剂盒的重要性,特别是在宏基因组测序中,其中存在各种不同GC含量的微生物物种。我们的数据还表明,在分析和解释公开可用的宏基因组数据时,应特别注意使用的文库准备试剂盒。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison of the sequencing bias of currently available library preparation kits for Illumina sequencing of bacterial genomes and metagenomes
Abstract In bacterial genome and metagenome sequencing, Illumina sequencers are most frequently used due to their high throughput capacity, and multiple library preparation kits have been developed for Illumina platforms. Here, we systematically analysed and compared the sequencing bias generated by currently available library preparation kits for Illumina sequencing. Our analyses revealed that a strong sequencing bias is introduced in low-GC regions by the Nextera XT kit. The level of bias introduced is dependent on the level of GC content; stronger bias is generated as the GC content decreases. Other analysed kits did not introduce this strong sequencing bias. The GC content-associated sequencing bias introduced by Nextera XT was more remarkable in metagenome sequencing of a mock bacterial community and seriously affected estimation of the relative abundance of low-GC species. The results of our analyses highlight the importance of selecting proper library preparation kits according to the purposes and targets of sequencing, particularly in metagenome sequencing, where a wide range of microbial species with various degrees of GC content is present. Our data also indicate that special attention should be paid to which library preparation kit was used when analysing and interpreting publicly available metagenomic data.
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