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Published on: December 10, 2012
Distinguishing between population bottleneck and population subdivision by a Bayesian model choice procedure
Benjamin M Peter1, Daniel Wegmann, Laurent Excoffier
1Computational and Molecular Population Genetics (CMPG), Institute of Ecology and Evolution, University of Bern, Baltzerstrasse 6, CH-3012 Bern, Switzerland.
Genetic data analysis often assumes panmictic populations, but subdivision can be mistaken for demographic changes. This study uses Approximate Bayesian Computation (ABC) to distinguish between population size changes and recent immigration in genetic diversity patterns.
Area of Science:
- Population genetics
- Evolutionary biology
- Bioinformatics
Background:
- Natural populations are often genetically subdivided but frequently analyzed as single, panmictic units.
- Inferences of past demographic changes (e.g., population size fluctuations) from genetic data often rely on the assumption of a non-subdivided population.
- Recent immigration can mimic signals of demographic bottlenecks, potentially leading to erroneous conclusions about population history.
Purpose of the Study:
- To develop and validate a method for distinguishing between demographic size changes and population subdivision in genetic diversity data.
- To contrast scenarios of a panmictic population with size changes against a recently subdivided population using a finite island model.
- To prevent misinterpretation of genetic signals by accurately identifying population structure.
Main Methods:
- Utilized an Approximate Bayesian Computation (ABC) approach for model selection.
- Simulated genetic diversity patterns under two alternative models: a panmictic population with size changes and a subdivided population (finite island model).
- Applied the model choice procedure to genetic data from chimpanzee (Pan troglodytes) populations.
Main Results:
- Simulations demonstrated high accuracy (up to 95%) in correctly identifying samples from subdivided populations across a wide parameter range.
- The developed ABC method effectively differentiates between demographic history scenarios.
- Conclusive evidence was found supporting spatial subdivision in Western and Eastern chimpanzee populations.
Conclusions:
- The study highlights the critical importance of considering population subdivision when inferring demographic history from genetic data.
- The developed Approximate Bayesian Computation (ABC) model choice procedure provides a robust tool for distinguishing population subdivision from demographic size changes.
- Genetic data from chimpanzees strongly suggest a spatially subdivided population structure between Western and Eastern groups, rather than a single panmictic population experiencing size changes.
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