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Bi-alignments as models of incongruent evolution of RNA sequence and secondary structure

  • Maria Waldl
  • , Sebastian Will
  • , Michael T. Wolfinger
  • , Ivo L. Hofacker
  • , Peter F. Stadler
  • University of Vienna
  • University of Leipzig
  • Max Planck Institute for Mathematics in the Sciences
  • Universidad Nacional de Colombia
  • Santa Fe Institute

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

RNA molecules may be subject to independent selection pressures on sequence and structure. This can, in principle, lead to the preservation of structural features without maintaining the exact position on the conserved sequence. Consequently, structurally analogous base pairs are no longer formed by homologous bases, and homologous nucleotides do not preserve their structural context. In other words, the evolution of sequence and structure is incongruent. We model this phenomenon by introducing bi-alignments, defined as a pair of alignments, one modeling sequence homology; the other, structural homology, together with an alignment of the two alignments that models the relative shifts between conserved sequence and conserved structure. Bi-alignments therefore form a special class of four-way alignments. A preliminary survey of the Rfam database suggests that incongruent evolution is not a very rare phenomenon among structured ncRNAs and RNA elements.

Original languageEnglish
Title of host publicationComputational Intelligence Methods for Bioinformatics and Biostatistics - 16th International Meeting, CIBB 2019, Revised Selected Papers
EditorsPaolo Cazzaniga, Daniela Besozzi, Ivan Merelli, Luca Manzoni
PublisherSpringer Science and Business Media Deutschland GmbH
Pages159-170
Number of pages12
ISBN (Print)9783030630607
DOIs
Publication statusPublished - 1 Jan 2020
Externally publishedYes
Event16th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2019 - Bergamo, Italy
Duration: 4 Sept 20196 Sept 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12313 LNBI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference16th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2019
Country/TerritoryItaly
CityBergamo
Period4/09/196/09/19

Keywords

  • 4-way alignment
  • Incongruent evolution
  • RNA alignment
  • RNA secondary structure

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