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Updated: Jul 24, 2025

High Sensitivity Measurement of Transcription Factor-DNA Binding Affinities by Competitive Titration Using Fluorescence Microscopy
Published on: February 7, 2019
Ancient transcriptional regulators can easily evolve new pair-wise cooperativity
Kyle R Fowler1, Fredrick Leon1, Alexander D Johnson1,2
1TETRAD Graduate Program, Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158.
New protein interactions driving gene regulation evolved rapidly, with many solutions functional. This study reveals structural rules and constraints governing the evolution of transcriptional regulator cooperativity.
Area of Science:
- Evolutionary biology
- Molecular biology
- Genetics
Background:
- Cells use transcription regulators binding cis-regulatory DNA for gene expression control.
- Pair-wise cooperativity between regulators enables complex gene regulation and network evolution.
- Understanding the origin of cooperative interactions between regulators is crucial for evolutionary insights.
Purpose of the Study:
- To investigate the evolutionary emergence of a specific protein-protein interaction between Matα2 and Mcm1.
- To uncover the structural rules and constraints governing the evolution of transcriptional regulator cooperativity.
Main Methods:
- Deep mutational scanning combined with functional selection for cooperative gene expression.
- Testing millions of alternative evolutionary solutions for the Matα2-Mcm1 interaction interface.
- Analyzing functional variants to identify emergent structural and epistatic rules.
Main Results:
- Approximately 45% of random sequences functioned as well as or better than the natural Matα2-Mcm1 interaction.
- Functional solutions were highly degenerate, allowing diverse amino acid chemistries.
- Widespread epistasis was observed, limiting evolutionary success despite degeneracy.
Conclusions:
- Emergence of cooperativity between transcriptional regulators is not strictly contingent on historical pathways.
- Structural rules and epistatic constraints govern the evolution of protein-protein interactions in gene regulation.
- This work provides mechanistic insights into transcription network plasticity and the evolution of novel interactions.
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