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Soft selective sweeps: Addressing new definitions, evaluating competing models, and interpreting empirical outliers
Parul Johri1, Wolfgang Stephan2, Jeffrey D Jensen1
1School of Life Sciences, Arizona State University, Tempe, Arizona, United States of America.
Identifying soft selective sweeps is controversial. This study argues that previous claims of their statistical identifiability and evolutionary prevalence are flawed due to model selection issues and misinterpretations.
Area of Science:
- Evolutionary genetics
- Population genetics
- Molecular evolution
Background:
- Accurately identifying genetic signatures of soft selective sweeps from nucleotide variation patterns is challenging.
- Recent studies proposed statistical identifiability and evolutionary prevalence of soft selective sweeps in Drosophila and HIV.
Purpose of the Study:
- To provide counterarguments to recent claims regarding the identification and role of soft selective sweeps.
- To critically evaluate the methodologies and interpretations used in studies of soft selective sweeps.
Main Methods:
- Re-evaluation of statistical models for detecting selection.
- Analysis of competing evolutionary models.
- Critique of interpretations of empirical data, particularly outliers.
Main Results:
- Claims of soft selective sweep identifiability may stem from overlooking alternative evolutionary models.
- Empirical outliers might be misinterpreted, inflating the perceived role of soft selective sweeps.
- New definitions of evolutionary processes can obscure common mechanisms.
Conclusions:
- Fitting evolutionary models requires careful consideration of common processes before invoking rare or episodic ones.
- The tendency to assume pervasive positive selection may lead to biased interpretations in evolutionary genetics.
- Robust methods are needed to distinguish soft selective sweeps from other evolutionary forces.
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