Assessing in vivo the impact of gene context on transcription through DNA supercoiling

Author:

Boulas Ihab1,Bruno Lisa1,Rimsky Sylvie1,Espeli Olivier1ORCID,Junier Ivan2,Rivoire Olivier13ORCID

Affiliation:

1. Center for Interdisciplinary Research in Biology (CIRB), Collège de France, CNRS, INSERM, Université PSL , Paris, France

2. Univ. Grenoble Alpes, CNRS , UMR 5525, VetAgro Sup, Grenoble INP, TIMC, 38000 Grenoble, France

3. Gulliver, ESPCI, CNRS, Université PSL , Paris, France

Abstract

Abstract Gene context can have significant impact on gene expression but is currently not integrated in quantitative models of gene regulation despite known biophysical principles and quantitative in vitro measurements. Conceptually, the simplest gene context consists of a single gene framed by two topological barriers, known as the twin transcriptional-loop model, which illustrates the interplay between transcription and DNA supercoiling. In vivo, DNA supercoiling is additionally modulated by topoisomerases, whose modus operandi remains to be quantified. Here, we bridge the gap between theory and in vivo properties by realizing in Escherichia coli the twin transcriptional-loop model and by measuring how gene expression varies with promoters and distances to the topological barriers. We find that gene expression depends on the distance to the upstream barrier but not to the downstream barrier, with a promoter-dependent intensity. We rationalize these findings with a first-principle biophysical model of DNA transcription. Our results are explained if TopoI and gyrase both act specifically, respectively upstream and downstream of the gene, with antagonistic effects of TopoI, which can repress initiation while facilitating elongation. Altogether, our work sets the foundations for a systematic and quantitative description of the impact of gene context on gene regulation.

Funder

IRIS OCAV Idex

Fondation pour la Recherche Médicale

PSL-Qlife

Agence Nationale de la Recherche

Publisher

Oxford University Press (OUP)

Subject

Genetics

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