Mapping the phenotypic landscape of a transcriptional repressor using Deep Mutational Scanning and Growth-based Quantitative Sequencing

Zachary Jansen(Rice University), Xuan Le(Rice University), Qiyao Wei(Rice University), Devon L. Kulhanek(Rice University), Nina Alperovich(National Institute of Standards and Technology), Olga B Vasilyeva(National Institute of Standards and Technology), Andrew R. Gilmour(Rice University), David Ross(National Institute of Standards and Technology), Ross Thyer(Rice University)
bioRxiv (Cold Spring Harbor Laboratory)
December 12, 2025
Cited by 0Open Access
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Abstract

Abstract CymR is a TetR-family transcriptional repressor that recognizes a well-defined operator sequence in the promoter P cymRC . 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 (DMS) with Growth-based Quantitative Sequencing (GROQ-Seq) 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. Graphical Abstract


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