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Related Experiment Videos

ARFA: a program for annotating bacterial release factor genes, including prediction of programmed ribosomal

Michaël Bekaert1, John F Atkins, Pavel V Baranov

  • 1Biosciences Institute, University College Cork, Cork, Ireland.

Bioinformatics (Oxford, England)
|August 10, 2006
PubMed
Summary

A new tool, ARFA, automatically identifies and annotates ribosomal frameshifting in bacterial release factor 2 (RF2) genes. This improves upon current methods where only 20% of such genes are correctly annotated.

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Area of Science:

  • Genomics
  • Computational Biology
  • Molecular Biology

Background:

  • Accurate bacterial genome annotation is challenging due to programmed ribosomal frameshifting.
  • Release factor 2 (RF2) synthesis frequently involves +1 ribosomal frameshifting.
  • Manual annotation relies heavily on annotator expertise regarding frameshifting.

Purpose of the Study:

  • To develop a computational tool for automatic identification and annotation of bacterial release factor genes.
  • To specifically address the challenge of annotating RF2 genes that utilize +1 programmed ribosomal frameshifting.
  • To improve the accuracy of bacterial genome annotations concerning release factors.

Main Methods:

  • Development of a novel computer tool named ARFA.
  • ARFA automatically discriminates between genes encoding class-I bacterial release factors (RF1, RF2, RFH).

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  • The tool specifically identifies and annotates +1 frameshifting in RF2-encoding genes.

    • Main Results:

    • ARFA successfully automates the discrimination of RF1, RF2, and RFH genes.
    • The program effectively identifies and annotates +1 frameshifting in RF2 genes.
    • Comparison with existing annotations revealed that only 20% of RF2 genes with frameshifting were previously annotated correctly.

    Conclusions:

    • ARFA provides a robust computational solution for annotating bacterial release factor genes, particularly RF2.
    • The tool significantly enhances the accuracy of genome annotations by correctly identifying ribosomal frameshifting events.
    • ARFA reduces reliance on manual annotation expertise for this specific genetic phenomenon.