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Ancestral population reconstitution from isofemale lines as a tool for experimental evolution
Pierre Nouhaud1, Ray Tobler2, Viola Nolte1
1Institut für Populationsgenetik Vetmeduni Vienna Vienna Austria.
Ecology and Evolution
|November 30, 2016
Summary
Experimental evolution studies adaptation. Reconstituting ancestral populations from isofemale lines in Drosophila provides an unbiased method to measure adaptation, as laboratory selection on segregating alleles has minimal detectable effects.
Area of Science:
- Evolutionary Biology
- Genetics
- Population Genetics
Background:
- Experimental evolution is crucial for studying adaptation under controlled conditions.
- Measuring adaptation often relies on comparing evolved populations to unselected references, but this can be biased by laboratory adaptation and genetic drift.
- Ancestral variation can be preserved in isofemale lines for reconstituting ancestral populations.
Purpose of the Study:
- To assess the impact of selection on segregating alleles within newly established Drosophila isofemale lines.
- To validate the use of ancestral population reconstitution from isofemale lines as an unbiased method for measuring adaptation.
Main Methods:
- Reconstitution of two ancestral populations (AP) from isofemale lines.
- Comparison of reconstituted APs with original APs founded shortly after collection.
- Simulations to assess the impact of genetic drift and sampling effects.
Main Results:
- No significant allele frequency changes were detected between reconstituted and original ancestral populations.
- Simulations indicated that genetic drift had a low impact compared to Pool-Seq sampling effects.
- Laboratory selection on segregating variation in isofemale lines was found to be too weak for detectable effects.
Conclusions:
- Ancestral population reconstitution from isofemale lines is a valid and unbiased approach for measuring adaptation.
- Experimental evolution studies can confidently use this method to avoid biases associated with laboratory adaptation and drift.

