4.6 Article

5.8S-28S rRNA interaction and HMM-based ITS2 annotation

Journal

GENE
Volume 430, Issue 1-2, Pages 50-57

Publisher

ELSEVIER
DOI: 10.1016/j.gene.2008.10.012

Keywords

Hidden Markov models; Internal transcribed spacer 2; Non-coding RNA; Phylogenetics; Ribosomal RNA; Secondary structure

Funding

  1. German federal state Bavaria
  2. Deutsche Forschungsgemeinschaft (DFG) [Mu-2831/1-1]
  3. BIGSS graduate school

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The internal transcribed spacer 2 (ITS2) of the nuclear ribosomal repeat unit is one of the most commonly applied phylogenetic markers. It is a fast evolving locus, which makes it appropriate for studies at low taxonomic levels, whereas its secondary structure is well conserved. and tree reconstructions are possible at higher taxonomic levels. However, annotation of start and end positions of the ITS2 differs markedly between studies. This is a severe shortcoming, as prediction of a correct secondary structure by standard ab initio folding programs requires accurate identification of the marker in question. Furthermore, the correct structure is essential for multiple sequence alignments based on individual structural features. The present study describes a new tool for the delimitation and identification of the ITS2. It is based on hidden Markov models (HMMs) and verifies annotations by comparison to a conserved structural motif in the 5.8S/28S rRNA regions. Our method was able to identify and delimit the ITS2 in more than 30000 entries lacking start and end annotations in GenBank. Furthermore, 45 000 ITS2 sequences with a questionable annotation were reannotated. Approximately 30 000 entries from the ITS2-DB, that uses a homology-based method for structure prediction, were re-annotated. We show that the method is able to correctly annotate an ITS2 as small as 58 nt from Giardia lamblia and an ITS2 as large as 1160 nt from humans. Thus, our method should be a valuable guide during the first and crucial step in any ITS2-based phylogenetic analysis: the delineation of the correct sequence. Sequences can be submitted to the following website for HMM-based ITS2 delineation: http://its2.bioapps.biozentrum.uni-wuerzburg.de. (C) 2008 Elsevier B.V. All rights reserved.

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