Animal and Veterinary Sciences, Scotland's Rural College (SRUC), Edinburgh, United Kingdom
The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, United Kingdom.
Appl Environ Microbiol. 2018 Mar 19;84(7). doi: 10.1128/AEM.02627-17. Print 2018 Apr 1.
The development and continuous improvement of high-throughput sequencing platforms have stimulated interest in the study of complex microbial communities. Currently, the most popular sequencing approach to study microbial community composition and dynamics is targeted 16S rRNA gene metabarcoding. To prepare samples for sequencing, there are a variety of processing steps, each with the potential to introduce bias at the data analysis stage. In this short review, key information from the literature pertaining to each processing step is described, and consequently, general recommendations for future 16S rRNA gene metabarcoding experiments are made.
高通量测序平台的不断发展和完善激发了人们对复杂微生物群落研究的兴趣。目前,研究微生物群落组成和动态最流行的测序方法是靶向 16S rRNA 基因宏条形码技术。为了准备测序样本,有多种处理步骤,每个步骤都有可能在数据分析阶段引入偏差。在这篇简短的综述中,描述了文献中与每个处理步骤相关的关键信息,并为未来的 16S rRNA 基因宏条形码实验提出了一般性建议。