Re-annotation of the woodland strawberry (Fragaria vesca) genome.

Journal Article (Journal Article)


Fragaria vesca is a low-growing, small-fruited diploid strawberry species commonly called woodland strawberry. It is native to temperate regions of Eurasia and North America and while it produces edible fruits, it is most highly useful as an experimental perennial plant system that can serve as a model for the agriculturally important Rosaceae family. A draft of the F. vesca genome sequence was published in 2011 [Nat Genet 43:223,2011]. The first generation annotation (version 1.1) were developed using GeneMark-ES+[Nuc Acids Res 33:6494,2005]which is a self-training gene prediction tool that relies primarily on the combination of ab initio predictions with mapping high confidence ESTs in addition to mapping gene deserts from transposable elements. Based on over 25 different tissue transcriptomes, we have revised the F. vesca genome annotation, thereby providing several improvements over version 1.1.


The new annotation, which was achieved using Maker, describes many more predicted protein coding genes compared to the GeneMark generated annotation that is currently hosted at the Genome Database for Rosaceae ( ). Our new annotation also results in an increase in the overall total coding length, and the number of coding regions found. The total number of gene predictions that do not overlap with the previous annotations is 2286, most of which were found to be homologous to other plant genes. We have experimentally verified one of the new gene model predictions to validate our results.


Using the RNA-Seq transcriptome sequences from 25 diverse tissue types, the re-annotation pipeline improved existing annotations by increasing the annotation accuracy based on extensive transcriptome data. It uncovered new genes, added exons to current genes, and extended or merged exons. This complete genome re-annotation will significantly benefit functional genomic studies of the strawberry and other members of the Rosaceae.

Full Text

Duke Authors

Cited Authors

  • Darwish, O; Shahan, R; Liu, Z; Slovin, JP; Alkharouf, NW

Published Date

  • January 2015

Published In

Volume / Issue

  • 16 /

Start / End Page

  • 29 -

PubMed ID

  • 25623424

Pubmed Central ID

  • PMC4318131

Electronic International Standard Serial Number (EISSN)

  • 1471-2164

International Standard Serial Number (ISSN)

  • 1471-2164

Digital Object Identifier (DOI)

  • 10.1186/s12864-015-1221-1


  • eng