Department of Dermatology and Microbiology, Perelman School of Medicine, University of Pennsylvania, 421 Curie Blvd, BRB 1046/7, Philadelphia, PA, 19104, USA.
Genomics and Computational Biology Program, Department of Dermatology, University of Pennsylvania, Philadelphia, USA.
Genome Biol. 2018 Jun 27;19(1):82. doi: 10.1186/s13059-018-1450-0.
Culture-independent analysis of microbial communities frequently relies on amplification and sequencing of the prokaryotic 16S ribosomal RNA gene. Typical analysis pipelines group sequences into operational taxonomic units (OTUs) to infer taxonomic and phylogenetic relationships. Here, we present HmmUFOtu, a novel tool for processing microbiome amplicon sequencing data, which performs rapid per-read phylogenetic placement, followed by phylogenetically informed clustering into OTUs and taxonomy assignment. Compared to standard pipelines, HmmUFOtu more accurately and reliably recapitulates microbial community diversity and composition in simulated and real datasets without relying on heuristics or sacrificing speed or accuracy.
微生物群落的非培养分析通常依赖于原核 16S 核糖体 RNA 基因的扩增和测序。典型的分析流程将序列分组为操作分类单元 (OTUs),以推断分类和系统发育关系。在这里,我们介绍了 HmmUFOtu,这是一种用于处理微生物组扩增子测序数据的新型工具,它可以快速进行逐读的系统发育定位,然后进行基于系统发育信息的聚类成 OTUs 和分类学分配。与标准流程相比,HmmUFOtu更准确、可靠地再现了模拟和真实数据集的微生物群落多样性和组成,而无需依赖启发式方法或牺牲速度或准确性。