An improved and extended dual-index multiplexed 16S rRNA sequencing for the Illumina HiSeq and MiSeq platform.

IF 1.9 Q3 GENETICS & HEREDITY
A K Larin, K M Klimina, V A Veselovsky, E I Olekhnovich, M D Morozov, D I Boldyreva, R A Yunes, A I Manolov, D E Fedorov, A V Pavlenko, Y S Galeeva, E V Starikova, E N Ilina
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引用次数: 0

Abstract

Background: Recent advancements in next-generation sequencing (NGS) technology have ushered in significant improvements in sequencing speed and data throughput, thereby enabling the simultaneous analysis of a greater number of samples within a single sequencing run. This technology has proven particularly valuable in the context of microbial community profiling, offering a powerful tool for characterizing the microbial composition at the species level within a given sample. This profiling process typically involves the sequencing of 16S ribosomal RNA (rRNA) gene fragments. By scaling up the analysis to accommodate a substantial number of samples, sometimes as many as 2,000, it becomes possible to achieve cost-efficiency and minimize the introduction of potential batch effects. Our study was designed with the primary objective of devising an approach capable of facilitating the comprehensive analysis of 1,711 samples sourced from diverse origins, including oropharyngeal swabs, mouth cavity swabs, dental swabs, and human fecal samples. This analysis was based on data obtained from 16S rRNA metagenomic sequencing conducted on the Illumina MiSeq and HiSeq sequencing platforms.

Results: We have designed a custom set of 10-base pair indices specifically tailored for the preparation of libraries from amplicons derived from the V3-V4 region of the 16S rRNA gene. These indices are instrumental in the analysis of the microbial composition in clinical samples through sequencing on the Illumina MiSeq and HiSeq platforms. The utilization of our custom index set enables the consolidation of a significant number of libraries, enabling the efficient sequencing of these libraries in a single run.

Conclusions: The unique array of 10-base pair indices that we have developed, in conjunction with our sequencing methodology, will prove highly valuable to laboratories engaged in sequencing on Illumina platforms or utilizing Illumina-compatible kits.

Abstract Image

用于 Illumina HiSeq 和 MiSeq 平台的改进型和扩展型双指数多重 16S rRNA 测序技术。
背景:下一代测序(NGS)技术的最新进展大大提高了测序速度和数据吞吐量,从而能够在一次测序运行中同时分析更多的样本。事实证明,这项技术在微生物群落剖析方面尤其有价值,它为描述给定样本中物种水平的微生物组成提供了强大的工具。这种分析过程通常涉及 16S 核糖体 RNA(rRNA)基因片段的测序。通过扩大分析规模以容纳大量样品(有时多达 2000 个),就有可能实现成本效益,并将潜在的批次效应降至最低。我们这项研究的主要目的是设计出一种方法,能够促进对 1,711 份不同来源的样本(包括口咽拭子、口腔拭子、牙拭子和人类粪便样本)进行全面分析。该分析基于在 Illumina MiSeq 和 HiSeq 测序平台上进行的 16S rRNA 元基因组测序获得的数据:结果:我们设计了一套定制的 10 碱基对指数,专门用于从 16S rRNA 基因 V3-V4 区域的扩增子中制备文库。这些指数有助于通过 Illumina MiSeq 和 HiSeq 平台上的测序分析临床样本中的微生物组成。利用我们的定制索引集可以整合大量文库,从而在一次运行中对这些文库进行高效测序:我们开发的独特的 10 碱基对指数阵列与我们的测序方法相结合,将被证明对在 Illumina 平台上进行测序或使用 Illumina 兼容试剂盒的实验室极具价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
4.90
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