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Evolution of new regulatory functions on biophysically realistic fitness landscapes

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  • Tamar Friedlander

    (Institute of Science and Technology Austria
    The Robert H. Smith Institute of Plant Sciences and Genetics in Agriculture, Faculty of Agriculture Hebrew University of Jerusalem)

  • Roshan Prizak

    (Institute of Science and Technology Austria)

  • Nicholas H. Barton

    (Institute of Science and Technology Austria)

  • Gašper Tkačik

    (Institute of Science and Technology Austria)

Abstract

Gene expression is controlled by networks of regulatory proteins that interact specifically with external signals and DNA regulatory sequences. These interactions force the network components to co-evolve so as to continually maintain function. Yet, existing models of evolution mostly focus on isolated genetic elements. In contrast, we study the essential process by which regulatory networks grow: the duplication and subsequent specialization of network components. We synthesize a biophysical model of molecular interactions with the evolutionary framework to find the conditions and pathways by which new regulatory functions emerge. We show that specialization of new network components is usually slow, but can be drastically accelerated in the presence of regulatory crosstalk and mutations that promote promiscuous interactions between network components.

Suggested Citation

  • Tamar Friedlander & Roshan Prizak & Nicholas H. Barton & Gašper Tkačik, 2017. "Evolution of new regulatory functions on biophysically realistic fitness landscapes," Nature Communications, Nature, vol. 8(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:8:y:2017:i:1:d:10.1038_s41467-017-00238-8
    DOI: 10.1038/s41467-017-00238-8
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    Cited by:

    1. 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.
    2. Rok Grah & Tamar Friedlander, 2020. "The relation between crosstalk and gene regulation form revisited," PLOS Computational Biology, Public Library of Science, vol. 16(2), pages 1-24, February.

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