Functional Annotation Workflow for Fungal Transcriptomes
Nagisa Morihara, Hidemasa Bono

TL;DR
This paper introduces a new workflow for accurately annotating fungal transcriptomes using RNA-seq data, even without a reference genome.
Contribution
The novel contribution is a fungal-specific functional annotation workflow that improves accuracy and applicability compared to existing tools.
Findings
The workflow annotated over 96% of protein-coding transcripts in tested fungal species.
Functional enrichment analyses provided higher-resolution detection than existing tools.
The workflow supports both RNA-seq and Iso-Seq data, aiding genome editing and biotech applications.
Abstract
Although RNA sequencing (RNA-seq) enables rapid transcriptome profiling, functional annotation of fungal transcriptomes remains challenging. Existing tools prioritize broad taxonomic coverage, and reference genomes are scarce for non-model species. This study aimed to develop a fungal-specific functional annotation workflow to support rapid and accurate functional analyses downstream of RNA-seq, independent of reference genome availability. To evaluate the workflow, RNA-seq data from 57 samples of Lentinula edodes strain H600 (shiitake mushroom) were retrieved, along with full-length transcript sequencing (Iso-Seq) data and corresponding RNA-seq data from 20 samples of Phakopsora pachyrhizi (Asian soybean rust) from public databases. The workflow successfully annotated over 96% of protein-coding transcripts and demonstrated applicability to Iso-Seq data. Functional enrichment analyses…
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Taxonomy
TopicsGenomics and Phylogenetic Studies · Fungal and yeast genetics research · Yeasts and Rust Fungi Studies
