IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v452y2008i7189d10.1038_nature06847.html
   My bibliography  Save this article

Evolvability and hierarchy in rewired bacterial gene networks

Author

Listed:
  • Mark Isalan

    (EMBL/CRG Systems Biology Research Unit, Centre for Genomic Regulation (CRG), UPF, 08003 Barcelona, Spain)

  • Caroline Lemerle

    (EMBL, Meyerhofstrasse 1, Heidelberg D-69117, Germany)

  • Konstantinos Michalodimitrakis

    (EMBL/CRG Systems Biology Research Unit, Centre for Genomic Regulation (CRG), UPF, 08003 Barcelona, Spain)

  • Carsten Horn

    (EMBL, Meyerhofstrasse 1, Heidelberg D-69117, Germany)

  • Pedro Beltrao

    (EMBL, Meyerhofstrasse 1, Heidelberg D-69117, Germany)

  • Emanuele Raineri

    (EMBL/CRG Systems Biology Research Unit, Centre for Genomic Regulation (CRG), UPF, 08003 Barcelona, Spain)

  • Mireia Garriga-Canut

    (EMBL/CRG Systems Biology Research Unit, Centre for Genomic Regulation (CRG), UPF, 08003 Barcelona, Spain)

  • Luis Serrano

    (EMBL/CRG Systems Biology Research Unit, Centre for Genomic Regulation (CRG), UPF, 08003 Barcelona, Spain)

Abstract

Sequencing DNA from several organisms has revealed that duplication and drift of existing genes have primarily moulded the contents of a given genome. Though the effect of knocking out or overexpressing a particular gene has been studied in many organisms, no study has systematically explored the effect of adding new links in a biological network. To explore network evolvability, we constructed 598 recombinations of promoters (including regulatory regions) with different transcription or σ-factor genes in Escherichia coli, added over a wild-type genetic background. Here we show that ∼95% of new networks are tolerated by the bacteria, that very few alter growth, and that expression level correlates with factor position in the wild-type network hierarchy. Most importantly, we find that certain networks consistently survive over the wild type under various selection pressures. Therefore new links in the network are rarely a barrier for evolution and can even confer a fitness advantage.

Suggested Citation

  • Mark Isalan & Caroline Lemerle & Konstantinos Michalodimitrakis & Carsten Horn & Pedro Beltrao & Emanuele Raineri & Mireia Garriga-Canut & Luis Serrano, 2008. "Evolvability and hierarchy in rewired bacterial gene networks," Nature, Nature, vol. 452(7189), pages 840-845, April.
  • Handle: RePEc:nat:nature:v:452:y:2008:i:7189:d:10.1038_nature06847
    DOI: 10.1038/nature06847
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/nature06847
    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/nature06847?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. Tadamune Kaneko & Macoto Kikuchi, 2022. "Evolution enhances mutational robustness and suppresses the emergence of a new phenotype: A new computational approach for studying evolution," PLOS Computational Biology, Public Library of Science, vol. 18(1), pages 1-20, January.
    2. Javier Santos-Moreno & Eve Tasiudi & Hadiastri Kusumawardhani & Joerg Stelling & Yolanda Schaerli, 2023. "Robustness and innovation in synthetic genotype networks," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    3. Cheemeng Tan & Robert Phillip Smith & Ming-Chi Tsai & Russell Schwartz & Lingchong You, 2014. "Phenotypic Signatures Arising from Unbalanced Bacterial Growth," PLOS Computational Biology, Public Library of Science, vol. 10(8), pages 1-10, August.
    4. Yichao Han & Wanji Li & Alden Filko & Jingyao Li & Fuzhong Zhang, 2023. "Genome-wide promoter responses to CRISPR perturbations of regulators reveal regulatory networks in Escherichia coli," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    5. Payne, Joshua L., 2016. "No tradeoff between versatility and robustness in gene circuit motifs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 449(C), pages 192-199.
    6. Shintaro Nagata & Macoto Kikuchi, 2020. "Emergence of cooperative bistability and robustness of gene regulatory networks," PLOS Computational Biology, Public Library of Science, vol. 16(6), pages 1-24, June.

    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:452:y:2008:i:7189:d:10.1038_nature06847. 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.