Fungal High-throughput Taxonomic Identification tool for use with Next-Generation Sequencing (FHiTINGS)

摘要: Improvements in DNA sequencing technology provide unprecedented opportunities to explore fungal diversity, but also present challenges data analysis due the large number of sequences generated. Here, we describe an open source software program "FHiTINGS" that utilizes output a BLASTn (blastall) search rapidly identify, classify, and parse internal transcribed spacer (ITS) produced ecology studies utilize next-generation sequencing. This tool was designed for use with 454 pyrosequencing is appropriate any platform allows BLAST searches against indicated ITS database. For each sequence, FHiTINGS uses lowest common ancestor method (LCA) produce single identification from results, then assigns taxonomic ranks species through kingdom when possible sequence based on Index Fungorum The sums sorts this into tabular form enable rapid sample, including α-diversity measures or richness. In silico testing demonstrates time required analyze classify 1000 reduced over 2 h by manual sorting <1 min computational using FHiTINGS, classification consistent derived data.