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Illumina 测序组合序列标记 PCR 产物进行微生物组分析。

Microbiome profiling by illumina sequencing of combinatorial sequence-tagged PCR products.

机构信息

Department of Biochemistry, University of Western Ontario, London, Ontario, Canada.

出版信息

PLoS One. 2010 Oct 26;5(10):e15406. doi: 10.1371/journal.pone.0015406.

Abstract

We developed a low-cost, high-throughput microbiome profiling method that uses combinatorial sequence tags attached to PCR primers that amplify the rRNA V6 region. Amplified PCR products are sequenced using an Illumina paired-end protocol to generate millions of overlapping reads. Combinatorial sequence tagging can be used to examine hundreds of samples with far fewer primers than is required when sequence tags are incorporated at only a single end. The number of reads generated permitted saturating or near-saturating analysis of samples of the vaginal microbiome. The large number of reads allowed an in-depth analysis of errors, and we found that PCR-induced errors composed the vast majority of non-organism derived species variants, an observation that has significant implications for sequence clustering of similar high-throughput data. We show that the short reads are sufficient to assign organisms to the genus or species level in most cases. We suggest that this method will be useful for the deep sequencing of any short nucleotide region that is taxonomically informative; these include the V3, V5 regions of the bacterial 16S rRNA genes and the eukaryotic V9 region that is gaining popularity for sampling protist diversity.

摘要

我们开发了一种低成本、高通量的微生物组分析方法,该方法使用组合序列标签连接到聚合酶链反应(PCR)引物上,扩增 rRNA V6 区。使用 Illumina 双端测序协议对扩增的 PCR 产物进行测序,生成数百万个重叠的读取。组合序列标签可用于检查数百个样本,所需的引物数量远远少于仅在单个末端加入序列标签时所需的数量。生成的读取数量允许对阴道微生物组样本进行饱和或近乎饱和的分析。大量的读取允许对错误进行深入分析,我们发现 PCR 诱导的错误构成了绝大多数非生物来源的物种变异,这一观察结果对类似高通量数据的序列聚类具有重要意义。我们表明,在大多数情况下,短读取足以将生物分配到属或种水平。我们建议该方法将有助于对任何具有分类学意义的短核苷酸区域进行深度测序;这些区域包括细菌 16S rRNA 基因的 V3、V5 区域以及用于采样原生生物多样性的越来越受欢迎的真核生物 V9 区域。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/883a/2964327/9bd7ee271728/pone.0015406.g001.jpg

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