Long-read annotation: Automated eukaryotic genome annotation based on long-read cDNA sequencing

David E. Cook, Jose Espejo Valle-Inclan, Alice Pajoro, Hanna Rovenich, Bart P.H.J. Thomma*, Luigi Faino

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

14 Citations (Scopus)

Abstract

Single-molecule full-length complementary DNA (cDNA) sequencing can aid genome annotation by revealing transcript structure and alternative splice forms, yet current annotation pipelines do not incorporate such information. Here we present long-read annotation (LoReAn) software, an automated annotation pipeline utilizing short-and long-read cDNA sequencing, protein evidence, and ab initio prediction to generate accurate genome annotations. Based on annotations of two fungal genomes (Verticillium dahliae and Plicaturopsis crispa) and two plant genomes (Arabidopsis [Arabidopsis thaliana] and Oryza sativa), we show that LoReAn outperforms popular annotation pipelines by integrating single-molecule cDNA-sequencing data generated from either the Pacific Biosciences or MinION sequencing platforms, correctly predicting gene structure, and capturing genes missed by other annotation pipelines.

Original languageEnglish
Pages (from-to)38-54
Number of pages17
JournalPlant Physiology
Volume179
Issue number1
DOIs
Publication statusPublished - 1 Jan 2019

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