Exploiting single-molecule transcript sequencing for eukaryotic gene prediction

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• 作者：André E. Minoche ; Juliane C. Dohm ; Jessica Schneider ; Daniela Holtgräwe…
• 关键词：Eukaryotic gene prediction ; Single ; molecule real ; time sequencing ; mRNA ; seq ; Caryophyllales ; Sugar beet ; Spinach ; Non ; model species ; Genome annotation
• 刊名：Genome Biology
• 出版年：2015
• 出版时间：December 2015
• 年：2015
• 卷：16
• 期：1
• 全文大小：2,065 KB
• 刊物主题：Animal Genetics and Genomics; Human Genetics; Plant Genetics & Genomics; Microbial Genetics and Genomics; Fungus Genetics; Bioinformatics;
• 出版者：BioMed Central
• ISSN：1465-6906

文摘

We develop a method to predict and validate gene models using PacBio single-molecule, real-time (SMRT) cDNA reads. Ninety-eight percent of full-insert SMRT reads span complete open reading frames. Gene model validation using SMRT reads is developed as automated process. Optimized training and prediction settings and mRNA-seq noise reduction of assisting Illumina reads results in increased gene prediction sensitivity and precision. Additionally, we present an improved gene set for sugar beet (Beta vulgaris) and the first genome-wide gene set for spinach (Spinacia oleracea). The workflow and guidelines are a valuable resource to obtain comprehensive gene sets for newly sequenced genomes of non-model eukaryotes.