Published July 26, 2012 | Version Published + Accepted Version
Journal Article Open

Operator Sequence Alters Gene Expression Independently of Transcription Factor Occupancy in Bacteria

  • 1. ROR icon California Institute of Technology
  • 2. ROR icon Princeton University
  • 3. ROR icon Brandeis University
  • 4. ROR icon Massachusetts Institute of Technology
  • 5. ROR icon Harvard University

Abstract

A canonical quantitative view of transcriptional regulation holds that the only role of operator sequence is to set the probability of transcription factor binding, with operator occupancy determining the level of gene expression. In this work, we test this idea by characterizing repression in vivo and the binding of RNA polymerase in vitro in experiments where operators of various sequences were placed either upstream or downstream from the promoter in Escherichia coli. Surprisingly, we find that operators with a weaker binding affinity can yield higher repression levels than stronger operators. Repressor bound to upstream operators modulates promoter escape, and the magnitude of this modulation is not correlated with the repressor-operator binding affinity. This suggests that operator sequences may modulate transcription by altering the nature of the interaction of the bound transcription factor with the transcriptional machinery, implying a new layer of sequence dependence that must be confronted in the quantitative understanding of gene expression.

Additional Information

© 2012 The Authors. Published by Elsevier Inc. This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 Unported License (CC-BY-NC-ND; http://creativecommons.org/licenses/by-nc-nd/3.0/ legalcode). Received 9 April 2012. Revised 14 May 2012. Accepted 6 June 2012. Available online 12 July 2012. Published online: July 12, 2012. We are grateful to Jon Widom, Tom Kuhlman, Justin Kinney, Stephanie Johnson, Daniel Jones and Rob Brewster for helpful discussions. We dedicate this work to Prof. Widom who recently passed away unexpectedly. We would like to thank Larry Friedman for technical assistance with the single molecule experiments and for useful discussions. We thank Robert Landick, Rachel Mooney and Abbey Vangeloff for the generous gifts of purified SNAP-tagged core RNA polymerase and σ70. This work was supported by National Institutes of Health Pioneer award DP1 OD000217 (H.G.G., R.P.) and grants R01 GM085286 and R01 GM085286-01S (H.G.G., J.Q.B., R.P.), GM81648 and GM43369 (J.G., A.S., M.L.O.), La Fondation Pierre Gilles de Gennes (R.P.), and National Science Foundation award DMR-0706458 (J.K.) and MRSEC-0820492 (J.K., J.G.).

Attached Files

Published - Garcia_Cell_Reports_2012.pdf

Accepted Version - nihms386941.pdf

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Additional details

Identifiers

PMCID
PMC3616187
Eprint ID
33163
Resolver ID
CaltechAUTHORS:20120814-102205172

Funding

NIH
DP1 OD000217
NIH
R01 GM085286
NIH
R01 GM085286-01S
NIH
GM81648
NIH
GM43369
La Fondation Pierre Gilles de Gennes
NSF
DMR-0706458
NSF
DMR-0820492

Dates

Created
2012-08-14
Created from EPrint's datestamp field
Updated
2021-11-09
Created from EPrint's last_modified field