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Related Experiment Videos

Predicting U-turns in ribosomal RNA with comparative sequence analysis.

R R Gutell1, J J Cannone, D Konings

  • 1Institute for Cellular and Molecular Biology, University of Texas at Austin, 2500 Speedway, Austin, TX, 78712-1095, USA. robin.gutell@mail.utexas.edu

Journal of Molecular Biology
|July 13, 2000
PubMed
Summary
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Journal of molecular biology·2001

Researchers identified numerous U-turn RNA motifs in ribosomal RNA sequences, revealing their potential for tertiary interactions critical in RNA modeling and functional studies.

Area of Science:

  • Molecular Biology
  • Structural Biology
  • Bioinformatics

Background:

  • The U-turn is a recognized RNA motif featuring a sharp backbone reversal after a single-stranded uridine.
  • Nucleotides adjacent to U-turns often engage in tertiary interactions, making them significant for RNA structure and function.

Purpose of the Study:

  • To identify and classify U-turn motifs within large sets of aligned 16 S and 23 S ribosomal RNA (rRNA) sequences.
  • To investigate the occurrence and potential tertiary interaction sites of UNR-type and GNRA-type U-turns in rRNA.

Main Methods:

  • Bioinformatic analysis of aligned 16 S and 23 S rRNA sequences.
  • Identification of UNR and GNRA sequence patterns characteristic of U-turn motifs.
  • Classification of identified U-turns based on loop type, sequence pattern, and base pairing.

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Main Results:

  • Identified 33 potential UNR-type and 25 GNRA-type U-turns in the analyzed rRNA sequences.
  • U-turn candidates were found in various loop structures, including hairpin, internal, and multi-stem loops.
  • Thirteen U-turn sites showed evidence of tertiary covariations, indicating potential tertiary interactions.

Conclusions:

  • The study identified a significant number of U-turn motifs in rRNA, highlighting their prevalence in these crucial RNA molecules.
  • The identified U-turns, particularly those involved in tertiary covariations, represent strong candidates for further investigation in RNA modeling and functional studies.