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Riboswitch diversity and distribution.

Phillip J McCown1, Keith A Corbino2, Shira Stav1

  • 1Department of Molecular, Cellular and Developmental Biology, Yale University, New Haven, Connecticut 06520-8103, USA.

RNA (New York, N.Y.)
|April 12, 2017
PubMed
Summary
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Bacterial riboswitches, RNA molecules regulating gene expression, exhibit diverse structures for metabolite detection. Researchers predict many more riboswitch classes await discovery, though finding rare ones will be challenging.

Area of Science:

  • Molecular Biology
  • RNA Biology
  • Genomics

Background:

  • Riboswitches are regulatory RNA molecules crucial for gene expression control in bacteria.
  • They bind specific metabolites or ions, altering gene transcription or translation.
  • Nearly 40 riboswitch classes have been identified, characterized by diverse structures and ligand specificities.

Purpose of the Study:

  • To compile and present consensus sequences, structural models, and phylogenetic distributions of validated riboswitch classes.
  • To explore the diversity and evolutionary patterns of bacterial riboswitches.
  • To predict the potential for undiscovered riboswitch classes.

Main Methods:

  • Bioinformatic analysis of genomic data to identify riboswitch candidates.
Keywords:
RNA Worldaptamercoenzymeligandnoncoding RNA

Related Experiment Videos

  • Compilation of existing experimental data on validated riboswitch classes.
  • Structural modeling and phylogenetic analysis of identified riboswitches.

    • Main Results:

    • Detailed information on consensus sequences, structural models, and phylogenetic distributions for known riboswitch classes is provided.
    • Riboswitch classes vary significantly in prevalence across bacterial lineages, from ubiquitous to rare.
    • The study highlights the structural diversity enabling high ligand selectivity in riboswitches.

    Conclusions:

    • Thousands of distinct bacterial riboswitch classes are predicted to exist but remain undiscovered.
    • The increasing rarity of individual undiscovered classes poses significant challenges for future identification.
    • This work provides a foundation for further exploration of RNA-based gene regulation mechanisms.