Natrix2 – Improved amplicon workflow with novel Oxford Nanopore Technologies support and enhancements in clustering, classification and taxonomic databases

Aman Deep, Dana Bludau, Marius Welzel, Sandra Clemens, Dominik Heider, Jens Boenigk, Daniela Beisser
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Abstract

Sequencing of amplified DNA is the first step towards the generation of Amplicon Sequence Variants (ASVs) or Operational Taxonomic Units (OTUs) for biodiversity assessment and comparative analyses of environmental communities and microbiomes. Notably, the rapid advancements in sequencing technologies have paved the way for the growing utilization of third-generation long-read approaches in recent years. These sequence data imply increasing read lengths, higher error rates, and altered sequencing chemistry. Likewise, methods for amplicon classification and reference databases have progressed, leading to the expansion of taxonomic application areas and higher classification accuracy. With Natrix, a user-friendly and reducible workflow solution, processing of prokaryotic and eukaryotic environmental Illumina sequences using 16S or 18S is possible. Here, we present an updated version of the pipeline, Natrix2, which incorporates VSEARCH as an alternative clustering method with better performance for 16S metabarcoding approaches and mothur for taxonomic classification on further databases, including PR 2 , UNITE and SILVA. Additionally, Natrix2 includes the handling of Nanopore reads, which entails initial error correction and refinement of reads using Medaka and Racon to subsequently determine their taxonomic classification.
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Natrix2 -改进的扩增工作流程与新颖的牛津纳米孔技术支持和增强的聚类,分类和分类数据库
扩增DNA的测序是产生扩增子序列变异(asv)或操作分类单位(OTUs)的第一步,用于生物多样性评估和环境群落和微生物组的比较分析。值得注意的是,近年来,测序技术的快速发展为第三代长读方法的日益普及铺平了道路。这些序列数据意味着增加读取长度,更高的错误率和改变的测序化学。同样,扩增子分类方法和参考数据库的发展,扩大了分类学应用领域,提高了分类精度。与Natrix,一个用户友好的和可简化的工作流程解决方案,处理原核和真核环境Illumina序列使用16S或18S是可能的。在这里,我们提出了管道的更新版本Natrix2,它将VSEARCH作为一种替代聚类方法,在16S元条形码方法中具有更好的性能,并且可以在其他数据库(包括PR 2, UNITE和SILVA)上进行分类分类。此外,Natrix2还包括处理纳米孔读取,这需要使用Medaka和Racon对读取进行初始错误纠正和改进,以随后确定其分类分类。
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来源期刊
Metabarcoding and Metagenomics
Metabarcoding and Metagenomics Agricultural and Biological Sciences-Animal Science and Zoology
CiteScore
5.40
自引率
0.00%
发文量
25
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