Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/116719
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Type: Journal article
Title: Ancestral population reconstitution from isofemale lines as a tool for experimental evolution
Author: Nouhaud, P.
Tobler, R.
Nolte, V.
Schlötterer, C.
Citation: Ecology and Evolution, 2016; 6(20):7169-7175
Publisher: Wiley-Blackwell
Issue Date: 2016
ISSN: 2045-7758
2045-7758
Statement of
Responsibility: 
Pierre Nouhaud, Ray Tobler, Viola Nolte, Christian Schlötterer
Abstract: Experimental evolution is a powerful tool to study adaptation under controlled conditions. Laboratory natural selection experiments mimic adaptation in the wild with better-adapted genotypes having more offspring. Because the selected traits are frequently not known, adaptation is typically measured as fitness increase by comparing evolved populations against an unselected reference population maintained in a laboratory environment. With adaptation to the laboratory conditions and genetic drift, however, it is not clear to what extent such comparisons provide unbiased estimates of adaptation. Alternatively, ancestral variation could be preserved in isofemale lines that can be combined to reconstitute the ancestral population. Here, we assess the impact of selection on alleles segregating in newly established Drosophila isofemale lines. We reconstituted two populations from isofemale lines and compared them to two original ancestral populations (AP) founded from the same lines shortly after collection. No significant allele frequency changes could be detected between both AP and simulations showed that drift had a low impact compared to Pool-Seq-associated sampling effects. We conclude that laboratory selection on segregating variation in isofemale lines is too weak to have detectable effects, which validates ancestral population reconstitution from isofemale lines as an unbiased approach for measuring adaptation in evolved populations.
Keywords: Adaptation; evolve and resequence; experimental evolution; isofemale line; whole‐genome sequencing
Rights: © 2016 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
RMID: 0030066442
DOI: 10.1002/ece3.2402
Appears in Collections:Ecology, Evolution and Landscape Science publications

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