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  Improving the Annotation of Arabidopsis lyrata Using RNA-Seq Data

Rawat, V., Abdelsamad, A., Pietzenuk, B., Seymour, D., Koenig, D., Weigel, D., et al. (2015). Improving the Annotation of Arabidopsis lyrata Using RNA-Seq Data. PLoS One, 10(9): e0137391. doi:10.1371/journal.pone.0137391.

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 Creators:
Rawat, V, Author
Abdelsamad, A, Author
Pietzenuk, B, Author
Seymour, DK1, Author           
Koenig, D1, Author           
Weigel, D1, Author           
Pecinka, A, Author
Schneeberger, K, Author
Affiliations:
1Department Molecular Biology, Max Planck Institute for Developmental Biology, Max Planck Society, ou_3375790              

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 Abstract: Gene model annotations are important community resources that ensure comparability and reproducibility of analyses and are typically the first step for functional annotation of genomic regions. Without up-to-date genome annotations, genome sequences cannot be used to maximum advantage. It is therefore essential to regularly update gene annotations by integrating the latest information to guarantee that reference annotations can remain a common basis for various types of analyses. Here, we report an improvement of the Arabidopsis lyrata gene annotation using extensive RNA-seq data. This new annotation consists of 31,132 protein coding gene models in addition to 2,089 genes with high similarity to transposable elements. Overall, ~87% of the gene models are corroborated by evidence of expression and 2,235 of these models feature multiple transcripts. Our updated gene annotation corrects hundreds of incorrectly split or merged gene models in the original annotation, and as a result the identification of alternative splicing events and differential isoform usage are vastly improved.

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 Dates: 2015-09
 Publication Status: Published online
 Pages: -
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 Rev. Type: -
 Identifiers: DOI: 10.1371/journal.pone.0137391
PMID: 26382944
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Title: PLoS One
  Abbreviation : PLoS One
Source Genre: Journal
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Publ. Info: San Francisco, CA : Public Library of Science
Pages: 12 Volume / Issue: 10 (9) Sequence Number: e0137391 Start / End Page: - Identifier: ISSN: 1932-6203
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000277850