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Maria Beatriz Walter Costa1,2

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Summary

Detecting positive selection in noncoding RNAs (ncRNAs) is challenging. This study presents methods to find species-specific ncRNA structures within conserved groups, aiding in the detection of positive selection.

Keywords:
ConservationEvolutionNoncoding RNAPositive selectionSecondary structure

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Area of Science:

  • Bioinformatics
  • Molecular Biology
  • Evolutionary Biology

Background:

  • Noncoding RNAs (ncRNAs) fold into functional structures essential for cellular processes.
  • Evolutionary conservation of ncRNA structures and functions is driven by selective pressures.
  • Existing methods focus on conserved structures, potentially overlooking species-specific adaptations.

Purpose of the Study:

  • To develop and present protocols for detecting positive selection in ncRNA structures.
  • To identify species-specific structural variations within conserved ncRNA groups.
  • To provide bioinformatic tools for analyzing positive selection in ncRNAs.

Main Methods:

  • Utilizing the Structure-Specific Selection (SSS)-test.
  • Employing free bioinformatics software for analysis.
  • Comparing ncRNA structures across evolutionarily related species to identify divergence.

Main Results:

  • Protocols are provided for detecting positive selection in ncRNA structures.
  • The methods allow for the identification of species-specific ncRNA structures.
  • Analysis can reveal instances of positive selection acting on ncRNA evolution.

Conclusions:

  • Detecting positive selection in ncRNAs requires identifying species-specific structural changes.
  • The SSS-test and associated software offer a viable approach to this challenge.
  • This work facilitates a deeper understanding of ncRNA evolution and adaptation.