TriAnnot: A versatile and high performance pipeline for the automated annotation of plant genomes

Philippe Leroy*, Nicolas Guilhot, Hiroaki Sakai, Aurélien Bernard, Frédéric Choulet, Sébastien Theil, Sébastien Reboux, Naoki Amano, Timothée Flutre, Céline Pelegrin, Hajime Ohyanagi, Michael Seidel, Franck Giacomoni, Mathieu Reichstadt, Michael Alaux, Emmanuelle Gicquello, Fabrice Legeai, Lorenzo Cerutti, Hisataka Numa, Tsuyoshi TanakaKlaus Mayer, Takeshi Itoh, Hadi Quesneville, Catherine Feuillet

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

54 Scopus citations

Abstract

In support of the international effort to obtain a reference sequence of the bread wheat genome and to provide plant communities dealing with large and complex genomes with a versatile, easy-to-use online automated tool for annotation, we have developed the TriAnnot pipeline. Its modular architecture allows for the annotation and masking of transposable elements, the structural, and functional annotation of protein-coding genes with an evidence-based quality indexing, and the identification of conserved non-coding sequences and molecular markers. The TriAnnot pipeline is parallelized on a 712 CPU computing cluster that can run a 1-Gb sequence annotation in less than 5 days. It is accessible through a web interface for small scale analyses or through a server for large scale annotations. The performance of TriAnnot was evaluated in terms of sensitivity, specificity, and general fitness using curated reference sequence sets from rice and wheat. In less than 8 h, Tri- Annot was able to predict more than 83% of the 3,748 CDS from rice chromosome 1 with a fitness of 67.4%. On a set of 12 reference Mb-sized contigs from wheat chromosome 3B, TriAnnot predicted and annotated 93.3% of the genes among which 54% were perfectly identified in accordance with the reference annotation. It also allowed the curation of 12 genes based on new biological evidences, increasing the percentage of perfect gene prediction to 63%. TriAnnot systematically showed a higher fitness than other annotation pipelines that are not improved for wheat. As it is easily adaptable to the annotation of other plant genomes,TriAnnot should become a useful resource for the annotation of large and complex genomes in the future.

Original languageEnglish (US)
Article number5
JournalFrontiers in Plant Science
Volume3
Issue numberJAN
DOIs
StatePublished - Jan 31 2012

Keywords

  • Cluster
  • Gene models
  • Pipeline
  • Plant genome
  • Structural and functional annotation
  • Transposable elements
  • Wheat

ASJC Scopus subject areas

  • Plant Science

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