A spatially resolved stochastic model reveals the role of supercoiling in transcription regulation

In Escherichia coli , translocation of RNA polymerase (RNAP) during transcription introduces supercoiling to DNA, which influences the initiation and elongation behaviors of RNAP. To quantify the role of supercoiling in transcription regulation, we developed a spatially resolved supercoiling model o...

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Published inPLoS computational biology Vol. 18; no. 9; p. e1009788
Main Authors Geng, Yuncong, Bohrer, Christopher Herrick, Yehya, Nicolás, Hendrix, Hunter, Shachaf, Lior, Liu, Jian, Xiao, Jie, Roberts, Elijah
Format Journal Article
LanguageEnglish
Published United States Public Library of Science 01.09.2022
Public Library of Science (PLoS)
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Summary:In Escherichia coli , translocation of RNA polymerase (RNAP) during transcription introduces supercoiling to DNA, which influences the initiation and elongation behaviors of RNAP. To quantify the role of supercoiling in transcription regulation, we developed a spatially resolved supercoiling model of transcription. The integrated model describes how RNAP activity feeds back with the local DNA supercoiling and how this mechanochemical feedback controls transcription, subject to topoisomerase activities and stochastic topological domain formation. This model establishes that transcription-induced supercoiling mediates the cooperation of co-transcribing RNAP molecules in highly expressed genes, and this cooperation is achieved under moderate supercoiling diffusion and high topoisomerase unbinding rates. It predicts that a topological domain could serve as a transcription regulator, generating substantial transcriptional noise. It also shows the relative orientation of two closely arranged genes plays an important role in regulating their transcription. The model provides a quantitative platform for investigating how genome organization impacts transcription.
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Current address: 10x Genomics Inc., Pleasanton, California, United States of America
Current address: Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America
Current address: Laboratory of Receptor Biology and Gene Expression, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America
The authors have declared that no competing interests exist.
ISSN:1553-7358
1553-734X
1553-7358
DOI:10.1371/journal.pcbi.1009788