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High Sensitivity Measurement of Transcription Factor-DNA Binding Affinities by Competitive Titration Using Fluorescence Microscopy
Published on: February 7, 2019
Natural Selection in Transcription Factor-DNA Interaction Motifs: A Comparative and Population Genomics Perspective
Manas Joshi1, Pablo Duchen2, Adamandia Kapopoulou3,4
1Department of Comparative Developmental Genetics, Max Planck Institute for Plant Breeding Research, Köln, Germany.
Natural selection shapes evolution by affecting gene regulation. This study found that purifying selection acts on transcription factor-binding domains and noncoding sites, with selection efficiency linked to population size.
Area of Science:
- Evolutionary biology
- Genomics
- Molecular biology
Background:
- Natural selection drives evolutionary change by influencing genotype-to-phenotype transitions.
- Regulatory sequences, particularly transcription factor-DNA interactions, are key molecular determinants of these transitions.
Purpose of the Study:
- To investigate the impact of natural selection on regulatory sequence classes involved in transcription factor-DNA interactions.
- To compare evolutionary constraints on transcription factor-binding domains and sites across different species.
Main Methods:
- Population and comparative genomics analyses were performed.
- Publicly available annotation data from Homo sapiens, Arabidopsis thaliana, and Drosophila melanogaster were utilized.
- Summary statistics and McDonald-Kreitman estimates were applied to assess selection pressures.
Main Results:
- Purifying selection signals were detected on transcription factor-binding domains, indicating their functional importance.
- Noncoding transcription factor-binding sites exhibited constraint comparable to coding regions in large populations.
- Selection efficiency on regulatory elements scales with effective population size.
Conclusions:
- The study demonstrates that both negative and positive selection act on transcription factor-DNA interface elements.
- The effectiveness of natural selection on these elements is influenced by the effective population size.
- The findings provide a foundation for future research into regulatory evolution.
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