Mapping the phenotypic landscape of a transcriptional repressor using deep mutational scanning and growth-based quantitative sequencing

CymR is a TetR-family transcriptional repressor that recognizes a well-defined operator sequence in the promoter PcymRC. The native ligand cumate and several structurally related aromatic acids bind at an allosteric site and induce a conformational change in CymR, resulting in release from the DNA operator and de-repression of the promoter. The amino acid residues that contribute to these core functions have not been mapped, nor has the protein been subjected to extensive mutagenesis to modify its function. Here, for the first time, we integrate deep mutational scanning with growth-based quantitative sequencing to evaluate a comprehensive phenotypic landscape of CymR variants, including single amino acid insertions and deletions. We measure this library across a concentration gradient of small molecule inducers to construct an induction curve for all library members. From this analysis, we identify amino acids throughout the protein that are essential for repressor function and discover several mutations that improve the sensitivity of CymR to the ligand perillic acid. In addition, rarely investigated insertion mutants are revealed to be a key driver of novel phenotypes, including several regions of CymR where insertions result in an inverted phenotype and the isolation of variants exhibiting an unusual band-stop phenotype.

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Publication Details

Journal
Nucleic Acids Research
Published
2026-02-24
DOI
https://doi.org/10.1093/nar/gkag206
Primary Topic
Genomics and Chromatin Dynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

Mapping the phenotypic landscape of a transcriptional repressor using deep mutational scanning and growth-based quantitative sequencing

David J. Ross, Devon L. Kulhanek, Andrew R. Gilmour, Zachary Jansen et al.
Nucleic Acids Research
Genomics and Chromatin Dynamics
article

Mapping the phenotypic landscape of a transcriptional repressor using deep mutational scanning and growth-based quantitative sequencing

David J. Ross, Devon L. Kulhanek, Andrew R. Gilmour, Zachary Jansen, Xuan Le, Ross Thyer, Nina Alperovich, Qiyao Wei, Olga Vasilyeva
article en

Abstract

CymR is a TetR-family transcriptional repressor that recognizes a well-defined operator sequence in the promoter PcymRC. The native ligand cumate and several structurally related aromatic acids bind at an allosteric site and induce a conformational change in CymR, resulting in release from the DNA operator and de-repression of the promoter. The amino acid residues that contribute to these core functions have not been mapped, nor has the protein been subjected to extensive mutagenesis to modify its function. Here, for the first time, we integrate deep mutational scanning with growth-based quantitative sequencing to evaluate a comprehensive phenotypic landscape of CymR variants, including single amino acid insertions and deletions. We measure this library across a concentration gradient of small molecule inducers to construct an induction curve for all library members. From this analysis, we identify amino acids throughout the protein that are essential for repressor function and discover several mutations that improve the sensitivity of CymR to the ligand perillic acid. In addition, rarely investigated insertion mutants are revealed to be a key driver of novel phenotypes, including several regions of CymR where insertions result in an inverted phenotype and the isolation of variants exhibiting an unusual band-stop phenotype.

Nucleic Acids ResearchVol. 54(5)
National Institute of Standards and Technology (US), Rice University (US)
Welch Foundation, Rice University, National Institute of Standards and Technology
Openalex Percentile: Top 25%
Genomics and Chromatin Dynamics
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