Literature DB >> 30021171

Promoter Activity Buffering Reduces the Fitness Cost of Misregulation.

Miquel Àngel Schikora-Tamarit1, Guillem Lopez-Grado I Salinas1, Carolina Gonzalez-Navasa1, Irene Calderón1, Xavi Marcos-Fa1, Miquel Sas1, Lucas B Carey2.   

Abstract

Organisms regulate gene expression through changes in the activity of transcription factors (TFs). In yeast, the response of genes to changes in TF activity is generally assumed to be encoded in the promoter. To directly test this assumption, we chose 42 genes and, for each, replaced the promoter with a synthetic inducible promoter and measured how protein expression changes as a function of TF activity. Most genes exhibited gene-specific TF dose-response curves not due to differences in mRNA stability, translation, or protein stability. Instead, most genes have an intrinsic ability to buffer the effects of promoter activity. This can be encoded in the open reading frame and the 3' end of genes and can be implemented by both autoregulatory feedback and by titration of limiting trans regulators. We show experimentally and computationally that, when misexpression of a gene is deleterious, this buffering insulates cells from fitness defects due to misregulation.
Copyright © 2018 The Author(s). Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  feedback; fitness; gene expression; mathematical modeling; systems biology; transcription; yeast

Mesh:

Substances:

Year:  2018        PMID: 30021171     DOI: 10.1016/j.celrep.2018.06.059

Source DB:  PubMed          Journal:  Cell Rep            Impact factor:   9.423


  4 in total

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Authors:  Tamás Székely; Gábor Balázsi
Journal:  Trends Genet       Date:  2018-08-14       Impact factor: 11.639

2.  Empirical mean-noise fitness landscapes reveal the fitness impact of gene expression noise.

Authors:  Jörn M Schmiedel; Lucas B Carey; Ben Lehner
Journal:  Nat Commun       Date:  2019-07-18       Impact factor: 14.919

3.  A genome-scale yeast library with inducible expression of individual genes.

Authors:  Yuko Arita; Griffin Kim; Zhijian Li; Helena Friesen; Gina Turco; Rebecca Y Wang; Dale Climie; Matej Usaj; Manuel Hotz; Emily H Stoops; Anastasia Baryshnikova; Charles Boone; David Botstein; Brenda J Andrews; R Scott McIsaac
Journal:  Mol Syst Biol       Date:  2021-06       Impact factor: 11.429

4.  Inherent regulatory asymmetry emanating from network architecture in a prevalent autoregulatory motif.

Authors:  Md Zulfikar Ali; Vinuselvi Parisutham; Sandeep Choubey; Robert C Brewster
Journal:  Elife       Date:  2020-08-18       Impact factor: 8.140

  4 in total

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