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Published on: February 3, 2023
Gene Expression Evolves under a House-of-Cards Model of Stabilizing Selection
Andrea Hodgins-Davis1, Daniel P Rice2, Jeffrey P Townsend3
1Department of Ecology and Evolutionary Biology, Yale University Department of Biostatistics, School of Public Health, Yale University.
Gene expression evolution is shaped by large mutational effects and modest stabilizing selection, fitting the House-of-Cards model across species. This suggests high potential for regulatory evolution.
Area of Science:
- Evolutionary biology
- Genomics
- Quantitative genetics
Background:
- Divergence in gene regulation is a key hypothesis for phenotypic evolution.
- The precise role of natural selection in shaping gene expression variation remains debated.
- Theoretical predictions for long-term selection effects on gene expression are needed.
Purpose of the Study:
- To differentiate hypotheses on stabilizing selection and mutation in shaping natural gene expression variation.
- To provide accessible theoretical predictions for the effect of selection on gene expression over long timescales.
- To assess the generality of evolutionary models for gene expression.
Main Methods:
- Utilized diverse genomic data, including expression profiles from natural variation and mutation accumulation lines.
- Incorporated empirical estimates of genomic mutation rates.
- Employed inferences of genetic architecture to test evolutionary models.
Main Results:
- Gene expression evolution is well-described by the House-of-Cards (HC) model.
- The HC model's fit is robust despite variations in the number of gene-controlling loci.
- Results are consistent across evolutionary time (yeast to fruit fly), indicating generality.
- Mutational effects on gene expression are relatively large.
- Selection imposes modest constraints on most gene expression levels, but regulatory evolution potential is high.
Conclusions:
- The House-of-Cards model provides a general framework for understanding gene expression evolution.
- Large mutational effects and modest selective constraints characterize gene expression evolution.
- Empirical data support high potential for regulatory evolution.
- Further data collection is encouraged for more nuanced HC model parameterizations.
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