Department of Environmental Health, School of Public Health and Tropical Medicine, Southern Medical University, Guangzhou, Guangdong, China.
ISME J. 2011 Apr;5(4):741-9. doi: 10.1038/ismej.2010.160. Epub 2010 Oct 21.
Pyrosequencing of 16S rRNA (16S) variable tags has become the most popular method for assessing microbial diversity, but the method remains costly for the evaluation of large numbers of environmental samples with high sequencing depths. We developed a barcoded Illumina paired-end (PE) sequencing (BIPES) method that sequences each 16S V6 tag from both ends on the Illumina HiSeq 2000, and the PE reads are then overlapped to obtain the V6 tag. The average accuracy of Illumina single-end (SE) reads was only 97.9%, which decreased from ∼99.9% at the start of the read to less than 85% at the end of the read; nevertheless, overlapping of the PE reads significantly increased the sequencing accuracy to 99.65% by verifying the 3' end of each SE in which the sequencing quality was degraded. After the removal of tags with two or more mismatches within the medial 40-70 bases of the reads and of tags with any primer errors, the overall base sequencing accuracy of the BIPES reads was further increased to 99.93%. The BIPES reads reflected the amounts of the various tags in the initial template, but long tags and high GC tags were underestimated. The BIPES method yields 20-50 times more 16S V6 tags than does pyrosequencing in a single-flow cell run, and each of the BIPES reads costs less than 1/40 of a pyrosequencing read. As a laborsaving and cost-effective method, BIPES can be routinely used to analyze the microbial ecology of both environmental and human microbiomes.
16S rRNA(16S)可变标签的焦磷酸测序已成为评估微生物多样性最流行的方法,但对于评估具有高通量测序深度的大量环境样本,该方法仍然昂贵。我们开发了一种带有 Illumina 双端(PE)测序(BIPES)的条形码方法,该方法可在 Illumina HiSeq 2000 上从 16S V6 标签的两端进行测序,然后重叠 PE 读取以获得 V6 标签。Illumina 单端(SE)读取的平均准确性仅为 97.9%,从读取开始时的约 99.9%下降到读取结束时的不到 85%;然而,通过验证每个 SE 的 3' 端(其中测序质量下降),重叠的 PE 读取显著提高了测序准确性,达到 99.65%。在去除读长中部 40-70 个碱基内有两个或更多错配的标签以及有任何引物错误的标签后,BIPES 读长的整体碱基测序准确性进一步提高到 99.93%。BIPES 读长反映了初始模板中各种标签的数量,但长标签和高 GC 标签被低估。与单个流池运行中的 pyrosequencing 相比,BIPES 方法可产生 20-50 倍的 16S V6 标签,并且每个 BIPES 读长的成本不到 pyrosequencing 读长的 1/40。作为一种节省劳力且具有成本效益的方法,BIPES 可常规用于分析环境和人类微生物组的微生物生态学。
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