IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0026638.html
   My bibliography  Save this article

An Alignment-Free Approach for Eukaryotic ITS2 Annotation and Phylogenetic Inference

Author

Listed:
  • Guillermin Agüero-Chapin
  • Aminael Sánchez-Rodríguez
  • Pedro I Hidalgo-Yanes
  • Yunierkis Pérez-Castillo
  • Reinaldo Molina-Ruiz
  • Kathleen Marchal
  • Vítor Vasconcelos
  • Agostinho Antunes

Abstract

The ITS2 gene class shows a high sequence divergence among its members that have complicated its annotation and its use for reconstructing phylogenies at a higher taxonomical level (beyond species and genus). Several alignment strategies have been implemented to improve the ITS2 annotation quality and its use for phylogenetic inferences. Although, alignment based methods have been exploited to the top of its complexity to tackle both issues, no alignment-free approaches have been able to successfully address both topics. By contrast, the use of simple alignment-free classifiers, like the topological indices (TIs) containing information about the sequence and structure of ITS2, may reveal to be a useful approach for the gene prediction and for assessing the phylogenetic relationships of the ITS2 class in eukaryotes. Thus, we used the TI2BioP (Topological Indices to BioPolymers) methodology [1], [2], freely available at http://ti2biop.sourceforge.net/ to calculate two different TIs. One class was derived from the ITS2 artificial 2D structures generated from DNA strings and the other from the secondary structure inferred from RNA folding algorithms. Two alignment-free models based on Artificial Neural Networks were developed for the ITS2 class prediction using the two classes of TIs referred above. Both models showed similar performances on the training and the test sets reaching values above 95% in the overall classification. Due to the importance of the ITS2 region for fungi identification, a novel ITS2 genomic sequence was isolated from Petrakia sp. This sequence and the test set were used to comparatively evaluate the conventional classification models based on multiple sequence alignments like Hidden Markov based approaches, revealing the success of our models to identify novel ITS2 members. The isolated sequence was assessed using traditional and alignment-free based techniques applied to phylogenetic inference to complement the taxonomy of the Petrakia sp. fungal isolate.

Suggested Citation

  • Guillermin Agüero-Chapin & Aminael Sánchez-Rodríguez & Pedro I Hidalgo-Yanes & Yunierkis Pérez-Castillo & Reinaldo Molina-Ruiz & Kathleen Marchal & Vítor Vasconcelos & Agostinho Antunes, 2011. "An Alignment-Free Approach for Eukaryotic ITS2 Annotation and Phylogenetic Inference," PLOS ONE, Public Library of Science, vol. 6(10), pages 1-14, October.
  • Handle: RePEc:plo:pone00:0026638
    DOI: 10.1371/journal.pone.0026638
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0026638
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0026638&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0026638?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Guillermin Agüero-Chapin & Reinaldo Molina-Ruiz & Emanuel Maldonado & Gustavo de la Riva & Aminael Sánchez-Rodríguez & Vitor Vasconcelos & Agostinho Antunes, 2013. "Exploring the Adenylation Domain Repertoire of Nonribosomal Peptide Synthetases Using an Ensemble of Sequence-Search Methods," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-13, July.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0026638. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.