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How Obstacles Perturb Population Fronts and Alter Their Genetic Structure
Wolfram Möbius1,2, Andrew W Murray2,3, David R Nelson1,2,3
1Department of Physics, Harvard University, Cambridge, Massachusetts, United States of America.
Isolated obstacles in environments significantly distort population fronts and amplify genetic drift during range expansions. This phenomenon, termed geometry-enhanced genetic drift, impacts frontier genotype abundance and population genealogy.
Area of Science:
- Ecology
- Evolutionary Biology
- Population Genetics
Background:
- Environmental heterogeneity influences population spread and genetic makeup.
- Isolated obstacles are key components of heterogeneous environments.
- Understanding range expansions is crucial for predicting population dynamics.
Purpose of the Study:
- To investigate the impact of isolated obstacles on population front shape and genetic composition.
- To quantify the effects of obstacles on genetic drift during range expansions.
- To introduce and explain the concept of 'geometry-enhanced genetic drift'.
Main Methods:
- Experimental population expansion using bacteriophage T7 on Escherichia coli lawns.
- Quantitative analysis of population front dynamics using inkjet-printed lawns.
- Theoretical modeling including constant speed and reaction-diffusion models, complemented by stochastic simulations.
Main Results:
- Isolated obstacles create persistent, long-lived distortions (kinks) in the population front, irrespective of obstacle shape.
- Obstacles amplify genetic drift, leading to increased abundance of frontier genotypes near the obstacle ('geometry-enhanced genetic drift').
- The effects of obstacles on population genealogy were characterized and rationalized through modeling.
Conclusions:
- Isolated obstacles significantly alter population front dynamics and genetic structure during range expansions.
- Geometry-enhanced genetic drift is a novel mechanism influencing genetic composition at expanding frontiers.
- These findings provide insights into population dynamics in complex, heterogeneous environments.
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