IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v457y2009i7232d10.1038_nature07749.html
   My bibliography  Save this article

A hierarchical model for evolution of 23S ribosomal RNA

Author

Listed:
  • Konstantin Bokov

    (Université de Montréal, Montréal, H3C 3J7 (Québec), Canada)

  • Sergey V. Steinberg

    (Université de Montréal, Montréal, H3C 3J7 (Québec), Canada)

Abstract

An RNA world view The emergence of the ribosome from the 'RNA world', a time when the chemical reactions of primordial life were catalysed by RNA rather than by proteins, was the dawn of the modern DNA- and protein-based world. Konstantin Bokov and Sergey Steinberg propose that even though this event happened about four billion years ago, the structure of the modern ribosome contains clues to its early evolution. Their analysis demonstrates that despite its visible complexity, the structure of 23S rRNA follows a relatively simple hierarchical organizing principle in which, it is argued, the hierarchy is related to the order in which new elements were added to the evolving ribosome as it acquired more protein components.

Suggested Citation

  • Konstantin Bokov & Sergey V. Steinberg, 2009. "A hierarchical model for evolution of 23S ribosomal RNA," Nature, Nature, vol. 457(7232), pages 977-980, February.
    • Handle: RePEc:nat:nature:v:457:y:2009:i:7232:d:10.1038_nature07749
    DOI: 10.1038/nature07749
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/nature07749
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1038/nature07749?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Antoine Soulé & Vladimir Reinharz & Roman Sarrazin-Gendron & Alain Denise & Jérôme Waldispühl, 2021. "Finding recurrent RNA structural networks with fast maximal common subgraphs of edge-colored graphs," PLOS Computational Biology, Public Library of Science, vol. 17(5), pages 1-28, May.
    2. Kai Sheng & Ning Li & Jessica N. Rabuck-Gibbons & Xiyu Dong & Dmitry Lyumkis & James R. Williamson, 2023. "Assembly landscape for the bacterial large ribosomal subunit," Nature Communications, Nature, vol. 14(1), pages 1-10, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:nature:v:457:y:2009:i:7232:d:10.1038_nature07749. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.