利用短读16S rRNA对多个可变区域进行测序,产生物种水平的高质量结果。

IF 2.8 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Frontiers in bioinformatics Pub Date : 2025-03-17 eCollection Date: 2025-01-01 DOI:10.3389/fbinf.2025.1484113
Amy S Graham, Fadheela Patel, Francesca Little, Andre van der Kouwe, Mamadou Kaba, Martha J Holmes
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引用次数: 0

摘要

短读扩增子测序研究通常集中在16S rRNA基因的1-2个可变区域。在这些研究中,物种水平的分辨率是有限的,因为每个可变区域能够表征微生物组的不同部分。虽然长读测序技术可以通过对整个16S rRNA基因进行测序来利用所有9个可变区域,但短读测序仍然是16S rRNA研究中常用的方法。这项工作评估了准确的物种水平分辨率和可重复性的可行性,使用了一个相对较新的测序试剂盒和开发的生物信息学管道,用于16S rRNA基因多个可变区域的短读测序。此外,我们评估了不同样本收集方法对结果的潜在影响。方法:使用xGen™16S Amplicon Panel v2试剂盒,在Illumina MiSeq平台上对16S rRNA基因的所有9个可变区域进行测序。以8种细菌的模拟细胞和模拟DNA分别作为提取和测序对照。跑步内和跑步间的重复样本,以及从同一婴儿0-5周收集的成对粪便和直肠拭子,被纳入研究。将观察到的每个物种的相对丰度与ZymoBIOMICS提供的理论丰度进行比较。配对Wilcoxon秩和检验和基于距离的类内相关系数分别用于成对重复和粪便/直肠拭子样本对的α和β多样性测量进行统计学比较。结果:利用16S核糖体核糖核酸(rRNA)基因的多个可变区域,我们可以准确地在种水平上识别分类群,并在种水平上获得高度可重复性的结果。然而,粪便和直肠拭子样本对的微生物特征差异很大,尽管同时从同一婴儿收集。结论:该方案为在物种水平上研究婴儿肠道微生物样品提供了有效的手段。然而,在任何下游分析中都需要考虑样本收集方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using short-read 16S rRNA sequencing of multiple variable regions to generate high-quality results to a species level.

Introduction: Short-read amplicon sequencing studies have typically focused on 1-2 variable regions of the 16S rRNA gene. Species-level resolution is limited in these studies, as each variable region enables the characterisation of a different subsection of the microbiome. Although long-read sequencing techniques can take advantage of all 9 variable regions by sequencing the entire 16S rRNA gene, short-read sequencing has remained a commonly used approach in 16S rRNA research. This work assessed the feasibility of accurate species-level resolution and reproducibility using a relatively new sequencing kit and bioinformatics pipeline developed for short-read sequencing of multiple variable regions of the 16S rRNA gene. In addition, we evaluated the potential impact of different sample collection methods on our outcomes.

Methods: Using xGen™ 16S Amplicon Panel v2 kits, sequencing of all 9 variable regions of the 16S rRNA gene was carried out on an Illumina MiSeq platform. Mock cells and mock DNA for 8 bacterial species were included as extraction and sequencing controls respectively. Within-run and between-run replicate samples, and pairs of stool and rectal swabs collected at 0-5 weeks from the same infants, were incorporated. Observed relative abundances of each species were compared to theoretical abundances provided by ZymoBIOMICS. Paired Wilcoxon rank sum tests and distance-based intraclass correlation coefficients were used to statistically compare alpha and beta diversity measures, respectively, for pairs of replicates and stool/rectal swab sample pairs.

Results: Using multiple variable regions of the 16S ribosomal Ribonucleic Acid (rRNA) gene, we found that we could accurately identify taxa to a species level and obtain highly reproducible results at a species level. Yet, the microbial profiles of stool and rectal swab sample pairs differed substantially despite being collected concurrently from the same infants.

Conclusion: This protocol provides an effective means for studying infant gut microbial samples at a species level. However, sample collection approaches need to be accounted for in any downstream analysis.

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