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Related Experiment Video

Updated: May 30, 2025

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

A generalized structured coalescent for purifying selection without recombination.

Stefan Strütt^1,2, Laurent Excoffier², Stephan Peischl^1,3

¹Interfaculty Bioinformatics Unit, University of Bern, Baltzerstrasse 6, Bern 3012, Switzerland.

|January 25, 2025

Summary

This summary is machine-generated.

Purifying selection significantly impacts genetic diversity, especially under weak to moderate selection. Our model reveals how this process can bias demographic inference, often mistaken for population history.

Keywords:

Muller’s ratchet background selection bottlenecks demographic inference unbiased sampling

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Area of Science:

Evolutionary biology
Population genetics

Background:

Purifying selection is crucial for genetic diversity but poorly understood under weak to moderate selection, especially with limited recombination.
Existing theoretical models often focus on extreme selection strengths, creating a knowledge gap.

Purpose of the Study:

To extend the fitness-class coalescent model to include arbitrary levels of purifying selection in haploid populations.
To investigate the impact of purifying selection on genomic diversity patterns across various demographic scenarios.

Main Methods:

Extension of the fitness-class coalescent model.
Incorporation of arbitrary purifying selection levels in haploid populations.

Main Results:

The developed model provides a flexible framework for studying purifying selection's effects.
Demonstrated that purifying selection can introduce significant biases in demographic inference.
Highlighted the risk of misinterpreting genetic patterns as demographic events.

Conclusions:

The study enhances understanding of the interplay between selection, drift, and population dynamics.
Purifying selection can distort demographic inference, leading to inaccurate conclusions about population history.