Integrative structural annotation of de novo RNA-Seq provides an accurate reference gene set of the enormous genome of the onion (Allium cepa L.)

Seungill Kim, Myung Shin Kim, Yong Min Kim, Seon In Yeom, Kyeongchae Cheong, Ki Tae Kim, Jongbum Jeon, Sunggil Kim, Do Sun Kim, Seong Han Sohn, Yong Hwan Lee, Doil Choi

Research output: Contribution to journalArticlepeer-review

46 Scopus citations

Abstract

The onion (Allium cepa L.) is one of the most widely cultivated and consumed vegetable crops in the world. Although a considerable amount of onion transcriptome data has been deposited into public databases, the sequences of the protein-coding genes are not accurate enough to be used, owing to non-coding sequences intermixed with the coding sequences. We generated a high-quality, annotated onion transcriptome from de novo sequence assembly and intensive structural annotation using the integrated structural gene annotation pipeline (ISGAP), which identified 54,165 protein-coding genes among 165,179 assembled transcripts totalling 203.0 Mb by eliminating the intron sequences. ISGAP performed reliable annotation, recognizing accurate gene structures based on reference proteins, and ab initio gene models of the assembled transcripts. Integrative functional annotation and gene-based SNP analysis revealed a whole biological repertoire of genes and transcriptomic variation in the onion. The method developed in this study provides a powerful tool for the construction of reference gene sets for organisms based solely on de novo transcriptome data. Furthermore, the reference genes and their variation described here for the onion represent essential tools for molecular breeding and gene cloning in Allium spp.

Original languageEnglish
Pages (from-to)19-27
Number of pages9
JournalDNA Research
Volume22
Issue number1
DOIs
StatePublished - 1 Feb 2015

Keywords

  • Gene prediction
  • Non-coding sequence
  • Onion
  • Reference gene set
  • de novo transcriptome

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