Promoter activity buffering reduces the fitness cost of misregulation
Miquel Àngel Schikora-TamaritiD, Guillem Lopez-Grado i SalinasiD, Carolina Gonzalez-NavasaiD, Irene CalderóniD, Xavi Marcos-FaiD, Miquel Sas, Lucas B. CareyiD
Abstract
O_FIG_DISPLAY_L [Figure 1] M_FIG_DISPLAY C_FIG_DISPLAY\n\nIn BriefSystematic promoter replacement reveals that coding sequences and 3ends of genes play and active role in buffering cells from fitness defects due to misregulation.\n\nHighlightsO_LIThe TF dose-response curve -- how gene expression changes as a function of TF concentration -- is encoded throughout the gene, not only in the promoter. Genes with the same promoter have different TF DRCs.\nC_LIO_LIA coupled experimental system and mathematical model quantifies the intrinsic ability of genes to buffer or amplify promoter activity.\nC_LIO_LIPromoter activity buffering reduces the effect of misregulation on fitness.\nC_LI\n\nCells regulate gene expression by changing the concentration and activity of transcription factors (TFs). The response of each gene to changes in TF activity is generally assumed to be encoded in the promoter. Here we show that, even when the promoter itself remains constant, each gene has a unique TF dose response curve. Genes have an intrinsic ability to either buffer or amplify the effects of high promoter activity. We present a coupled mathematical model and experimental system for quantifying this property. Promoter activity buffering can be encoded by sequences in both the open reading frame and 3end of genes, and can be implemented by both autoregulatory feedback loops and by titration of limiting trans regulators. We show experimentally that promoter activity buffering insulates cells from fitness defects due to misexpression. The response of genes to changes in [TF] is encoded by sequences outside of the promoter, and this effect can either insulate or amplify the effects of aneuploidy and misregulation on organismal fitness.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 12
- FWCI
- 0.71
- Field percentile
- top 32%
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Competition between binding sites determines gene expression at low transcription factor concentrations
David van Dijk, Eilon Sharon, … Lucas B. Carey·bioRxiv·May 5, 2016
- E. coli transcription factors regulate promoter activity by a universal, homeostatic mechanism
Vinuselvi Parisutham, Sunil Guharajan, … Robert C. Brewster·SciencePeer-reviewed·Sep 11, 2025
- Regulatory properties of transcription factors with diverse mechanistic function
Md Zulfikar Ali, Sunil Guharajan, … Robert C. Brewster·PLoS Computational BiologyPeer-reviewed·Jun 10, 2024
- Probing the dependence of transcription factor regulatory modes on promoter features
Sunil Guharajan, Vinuselvi Parisutham, Robert C. Brewster·bioRxiv·May 30, 2024
- Transcription factor binding process is the primary driver of noise in gene expression
Lavisha Parab, Sampriti Pal, Riddhiman Dhar·PLoS GeneticsPeer-reviewed·Dec 12, 2022
- Genomic environments scale the activities of diverse core promoters
Clarice KY Hong, Barak A. Cohen·Genome ResearchPeer-reviewed·Jan 1, 2022