Department of Chemistry and Bioscience, Aalborg University, Aalborg East, Denmark.
FEBS Open Bio. 2024 Nov;14(11):1779-1787. doi: 10.1002/2211-5463.13868. Epub 2024 Aug 7.
Amplicon sequencing has long served as a robust method for characterising microbial communities, and despite inherent resolution limitations, it remains a preferred technique, offering cost- and time-effective insights into bacterial compositions. Here, we introduce ONT-AmpSeq, a user-friendly pipeline designed for processing amplicon sequencing data generated from Oxford Nanopore Technology (ONT) devices. Our pipeline enables efficient creation of taxonomically annotated operational taxonomic unit (OTU) tables from ONT sequencing data, with the flexibility to multiplex amplicons on the same barcode. The pipeline encompasses six main steps-statistics, quality filtering, alignment, clustering, polishing, and taxonomic classification-integrating various state-of-the-art software tools. We provide a detailed description of each step, along with performance tests and robustness evaluations using both test data and a ZymoBIOMICS Microbial Community Standard mock community dataset. Our results demonstrate the ability of ONT-AmpSeq to effectively process ONT amplicon data, offering valuable insights into microbial community composition. Additionally, we discuss the influence of polishing tools on taxonomic insight and the impact of taxonomic annotation methods on the derived microbial composition. Overall, ONT-AmpSeq represents a comprehensive solution for analysing ONT amplicon sequencing data, facilitating streamlined and reliable microbial community analysis. The pipeline, along with test data, is freely available for public use.
扩增子测序长期以来一直是一种强大的方法,用于描述微生物群落,尽管存在固有分辨率限制,但它仍然是一种首选技术,提供了具有成本效益和时间效益的细菌组成见解。在这里,我们介绍了 ONT-AmpSeq,这是一个用户友好的管道,用于处理从 Oxford Nanopore Technology (ONT) 设备生成的扩增子测序数据。我们的管道能够从 ONT 测序数据中有效地创建分类注释的操作分类单元 (OTU) 表,并具有在同一条形码上多路复用扩增子的灵活性。该管道包括六个主要步骤-统计信息、质量过滤、对齐、聚类、抛光和分类分类-集成了各种最先进的软件工具。我们详细描述了每个步骤,并使用测试数据和 ZymoBIOMICS 微生物群落标准模拟社区数据集进行了性能测试和稳健性评估。我们的结果表明,ONT-AmpSeq 能够有效地处理 ONT 扩增子数据,为微生物群落组成提供了有价值的见解。此外,我们讨论了抛光工具对分类洞察力的影响以及分类注释方法对衍生微生物组成的影响。总体而言,ONT-AmpSeq 代表了一种用于分析 ONT 扩增子测序数据的综合解决方案,促进了简化和可靠的微生物群落分析。该管道以及测试数据,可供公众免费使用。