Regulation of cell-to-cell variability in divergent gene expression

Chao Yan, Shuyang Wu, Christopher Pocetti and Lu Bai ()
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Chao Yan: Department of Biochemistry and Molecular Biology
Shuyang Wu: Department of Biochemistry and Molecular Biology
Christopher Pocetti: The Pennsylvania State University
Lu Bai: Department of Biochemistry and Molecular Biology

Nature Communications, 2016, vol. 7, issue 1, 1-10

Abstract: Abstract Cell-to-cell variability (noise) is an important feature of gene expression that impacts cell fitness and development. The regulatory mechanism of this variability is not fully understood. Here we investigate the effect on gene expression noise in divergent gene pairs (DGPs). We generated reporters driven by divergent promoters, rearranged their gene order, and probed their expressions using time-lapse fluorescence microscopy and single-molecule fluorescence in situ hybridization (smFISH). We show that two genes in a co-regulated DGP have higher expression covariance compared with the separate, tandem and convergent configurations, and this higher covariance is caused by more synchronized firing of the divergent transcriptions. For differentially regulated DGPs, the regulatory signal of one gene can stochastically ‘leak’ to the other, causing increased gene expression noise. We propose that the DGPs’ function in limiting or promoting gene expression noise may enhance or compromise cell fitness, providing an explanation for the conservation pattern of DGPs.

Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms11099

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DOI: 10.1038/ncomms11099

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