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Noise reduction facilitated by dosage compensation in gene networks

Author

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  • Weilin Peng

    (Cellular and Developmental Biology, Yale University
    Systems Biology Institute, Yale University)

  • Ruijie Song

    (Systems Biology Institute, Yale University
    Yale University)

  • Murat Acar

    (Cellular and Developmental Biology, Yale University
    Systems Biology Institute, Yale University
    Yale University
    Yale University)

Abstract

Genetic noise together with genome duplication and volume changes during cell cycle are significant contributors to cell-to-cell heterogeneity. How can cells buffer the effects of these unavoidable epigenetic and genetic variations on phenotypes that are sensitive to such variations? Here we show that a simple network motif that is essential for network-dosage compensation can reduce the effects of extrinsic noise on the network output. Using natural and synthetic gene networks with and without the network motif, we measure gene network activity in single yeast cells and find that the activity of the compensated network is significantly lower in noise compared with the non-compensated network. A mathematical analysis provides intuitive insights into these results and a novel stochastic model tracking cell-volume and cell-cycle predicts the experimental results. Our work implies that noise is a selectable trait tunable by evolution.

Suggested Citation

  • Weilin Peng & Ruijie Song & Murat Acar, 2016. "Noise reduction facilitated by dosage compensation in gene networks," Nature Communications, Nature, vol. 7(1), pages 1-8, December.
    • Handle: RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms12959
    DOI: 10.1038/ncomms12959
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    Cited by:

    1. Kiyan Shabestary & Cinzia Klemm & Benedict Carling & James Marshall & Juline Savigny & Marko Storch & Rodrigo Ledesma-Amaro, 2024. "Phenotypic heterogeneity follows a growth-viability tradeoff in response to amino acid identity," Nature Communications, Nature, vol. 15(1), pages 1-16, December.

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