title: Clustering of fungal community internal transcribed spacer sequence data obscures taxonomic diversity.
abstract: Next-generation DNA sequencing has enabled a rapid expansion in the size of molecular fungal ecology studies employing the nuclear internal transcribed spacer (ITS) region. Many sequence-processing pipelines and protocols require sequence clustering to generate operational taxonomic units (OTUs) based on sequence similarity as a step to reduce total data quantity and complexity prior to taxonomic assignment. However, the consequences of ITS sequence clustering in regard to sample taxonomic coverage have not been carefully examined. Here we demonstrate that typically used clustering thresholds for fungal ITS sequences result in statistically significant losses in taxonomic coverage. Analyses using environmentally derived fungal sequences indicated an average of 3.1% of species went undetected (P < 0.05) if the sequences were denoised and clustered at a 97% threshold prior to taxonomic assignment. Additionally, an in silico analysis using a reference fungal ITS database suggested that approximately 25% of species went undetected if the sequences were clustered prior to taxonomic assignment. Finally, analysis of sequences derived from pure-cultured fungal isolates of known identity indicated sequence denoising and clustering were not critical in improving identification accuracy.
authors.affiliation: Department of Environmental Health, Seoul National University, Seoul, Korea.
authors.forename: Naomichi
authors.initials: N
authors.lastname: Yamamoto
authors.forename: Kyle
authors.initials: K
authors.lastname: Bibby
mesh_terms: D002467:Cell Nucleus / Q000235:genetics; D016000:Cluster Analysis; D003198:Computer Simulation; D021901:DNA, Intergenic / Q000235:genetics*; D005658:Fungi / Q000145:classification* / Q000235:genetics; D008957:Models, Genetic; D010802:Phylogeny; D017422:Sequence Analysis, DNA / Q000706:statistics & numerical data*
chemical_list: D021901:DNA, Intergenic