Sign in
Systems BiologyMolecular Cell
Peer-reviewed journal article

Chemical-genetic interrogation of RNA polymerase mutants reveals structure-function relationships and physiological tradeoffs

Anthony L. ShiveriD, Hendrik OsadnikiD, Jason M. PetersiD, Rachel Anne MooneyiD, Peter I-Fan WuiD, Kemardo K. HenryiD, Hannes BrabergiD, Nevan J. KroganiD, James C. HuiD, Robert C. LandickiD, Kerwyn Casey HuangiD, Carol A. GrossiD

Abstract

The multi-subunit bacterial RNA polymerase (RNAP) and its associated regulators carry out transcription and integrate myriad regulatory signals. Numerous studies have interrogated the inner workings of RNAP, and mutations in genes encoding RNAP drive adaptation of Escherichia coli to many health- and industry-relevant environments, yet a paucity of systematic analyses has hampered our understanding of the fitness benefits and trade-offs from altering RNAP function. Here, we conduct a chemical-genetic analysis of a library of RNAP mutants. We discover phenotypes for non-essential insertions, show that clustering mutant phenotypes increases their predictive power for drawing functional inferences, and illuminate a connection between transcription and cell division. Our findings demonstrate that RNAP chemical-genetic interactions provide a general platform for interrogating structure-function relationships in vivo and for identifying physiological trade-offs of mutations, including those relevant for disease and biotechnology. This strategy should have broad utility for illuminating the role of other important protein complexes.Competing Interest StatementThe authors have declared no competing interest.View Full Text

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers
Citations
22
FWCI
1.55
Field percentile
top 18%

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.

Similarity Map
SelectedSame fieldCross-field
THISGonzalez-Go '17Mäkinen '24Yubero '21Duan '25Sarkar '17Darrière '19
62% semantic matchEvolutionary Biology
A. Gonzalez-Gonzalez, A. Rodriguez-Verdugo, S. Hug+2 more·Molecular Biology and Evolution·Nov 1, 2017