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The viroid and viroid-like RNA database

D A Lafontaine1, S Mercure, V Poisson

  • 1Département de Biochimie, Faculté de Médecine, Université de Sherbrooke, Sherbrooke, Québec J1H 5N4, Canada.

Nucleic Acids Research
|February 21, 1998
PubMed
Summary
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This study compiles natural viroid and viroid-like RNA sequences, offering insights into their structure, function, and evolutionary history. The database serves as a valuable resource for researchers studying these unique RNA molecules.

Area of Science:

  • Molecular Biology
  • Bioinformatics
  • Virology

Background:

  • Viroids and viroid-like RNAs are small, non-coding RNA molecules with unique biological properties.
  • Understanding their structure and evolution is crucial for deciphering their roles in host-pathogen interactions.
  • Existing sequence data was fragmented across various repositories, hindering comprehensive analysis.

Purpose of the Study:

  • To create a centralized, comprehensive database of all known natural viroid and viroid-like RNA sequences.
  • To provide valuable information on RNA structural domains and open reading frames.
  • To facilitate phylogenetic and structure-function studies of these RNA species.

Main Methods:

  • Compilation of sequences from peer-reviewed literature and major nucleotide sequence databases (GenBank, EMBL).

Related Experiment Videos

  • Bioinformatic analyses including prediction of self-catalytic domains and open reading frames.
  • Computational determination of ancestral sequences and secondary structures.

    • Main Results:

    • A curated database of natural viroid and viroid-like RNA sequences is now available online.
    • The database includes data on critical functional domains and evolutionary relationships.
    • Predictions of ancestral sequences and stable secondary structures offer new avenues for research.

    Conclusions:

    • The developed database serves as a vital reference point for viroid and viroid-like RNA research.
    • It significantly enhances the accessibility of sequence data for phylogenetic and structure-function investigations.
    • This resource will accelerate discoveries in the field of small RNA biology and evolution.