Discovering Novel Genes in Non-Model Fly Accessory Glands Using De Novo Nanopore Transcriptomics

Abstract BackgroundOxford Nanopore Technologies (ONT) long-read transcriptomes offer many advantages including long reads (>10kbp), end-to-end transcripts, structural variants, isoform-level resolution of genes and expression. However, uptake of ONT transcriptomics is still low, largely due to high error rates (2 to 13%) and reliance on reference databases that are unavailable for many non-model species. Additionally, bioinformatics tools and pipelines for de novo ONT transcriptomics are still in early stages of development. ResultsHere, we use de novo ONT GridION transcriptomics to discover novel genes from the male accessory glands (AG) of a widespread, non-model dung fly, Sepsis punctum. Insect AGs are of particular interest for this as they are hotspots for rapid evolution of novel reproductive genes, and they synthesize seminal fluid proteins that lack homology to any other known proteins. We implement a completely de novo ONT GridION transcriptome pipeline, incorporating quality-filtering and rigorous error-correction procedures, to characterize this novel gene set and to quantify their expression. Specifically, we compare these ONT genes and their expression against de novo lllumina HiSeq transcriptome data. We find 40 high-quality and high-confidence ONT genes that cross-verify against Illumina genes; twenty-six of which are novel and specific to S. punctum. Read count based expression quantification in ONT samples is highly congruent with Illumina’s Transcript per Million (TPM), both in overall pattern and within functional categories. Novel genes account for an average of 81% of total gene expression underscoring their functional importance in S. punctum AGs. Eighty percentage of these genes are secretory in nature, responsible for 74% total gene expression. Notably, median sequence similarities of ONT nucleotide and protein sequences match within-Illumina sequence similarities indicating that our de novo ONT transcriptome pipeline successfully mitigated sequencing errors. ConclusionsThis is the first study to adapt ONT transcriptomics for completely de novo characterization of novel genes in animals. Our study demonstrates that ONT long-reads, constituting a quarter of the number of bases sequenced at less than a third the cost of Illumina reads, can be a resource-friendly and cost-effective solution for end-to-end sequencing of unknown genes even in the absence of a reference database.