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Gene network shaping of inherent noise spectra

Author

Listed:
  • D. W. Austin

    (Molecular-Scale Engineering and Nanoscale Technologies Group
    University of Tennessee)

  • M. S. Allen

    (Molecular-Scale Engineering and Nanoscale Technologies Group
    University of Tennessee)

  • J. M. McCollum

    (University of Tennessee)

  • R. D. Dar

    (Molecular-Scale Engineering and Nanoscale Technologies Group)

  • J. R. Wilgus

    (University of Tennessee)

  • G. S. Sayler

    (University of Tennessee)

  • N. F. Samatova

    (Oak Ridge National Laboratory)

  • C. D. Cox

    (University of Tennessee)

  • M. L. Simpson

    (Molecular-Scale Engineering and Nanoscale Technologies Group
    University of Tennessee)

Abstract

Recent work demonstrates that stochastic fluctuations in molecular populations have consequences for gene regulation1,2,3,4,5,6,7,8,9,10. Previous experiments focused on noise sources or noise propagation through gene networks by measuring noise magnitudes. However, in theoretical analysis, we showed that noise frequency content is determined by the underlying gene circuits, leading to a mapping between gene circuit structure and the noise frequency range11,12. An intriguing prediction from our previous studies was that negative autoregulation shifts noise to higher frequencies where it is more easily filtered out by gene networks11—a property that may contribute to the prevalence of autoregulation motifs (for example, found in the regulation of ∼40% of Escherichia coli genes). Here we measure noise frequency content in growing cultures of E. coli, and verify the link between gene circuit structure and noise spectra by demonstrating the negative autoregulation-mediated spectral shift. We further demonstrate that noise spectral measurements provide mechanistic insights into gene regulation, as perturbations of gene circuit parameters are discernible in the measured noise frequency ranges. These results suggest that noise spectral measurements could facilitate the discovery of novel regulatory relationships.

Suggested Citation

  • D. W. Austin & M. S. Allen & J. M. McCollum & R. D. Dar & J. R. Wilgus & G. S. Sayler & N. F. Samatova & C. D. Cox & M. L. Simpson, 2006. "Gene network shaping of inherent noise spectra," Nature, Nature, vol. 439(7076), pages 608-611, February.
  • Handle: RePEc:nat:nature:v:439:y:2006:i:7076:d:10.1038_nature04194
    DOI: 10.1038/nature04194
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    Cited by:

    1. Raul Fernandez-Lopez & Irene del Campo & Carlos Revilla & Ana Cuevas & Fernando de la Cruz, 2014. "Negative Feedback and Transcriptional Overshooting in a Regulatory Network for Horizontal Gene Transfer," PLOS Genetics, Public Library of Science, vol. 10(2), pages 1-15, February.
    2. Liming Wang & Jack Xin & Qing Nie, 2010. "A Critical Quantity for Noise Attenuation in Feedback Systems," PLOS Computational Biology, Public Library of Science, vol. 6(4), pages 1-17, April.

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