Article
The Effects of Quantitative Trait Architecture on Detection Power in Short-Term Artificial Selection Experiments.
G3 (Bethesda, Md.) - 2 Sept 2020
Lou R Nicolas, Therkildsen Nina O, Messer Philipp W
Abstract excerpt
Evolve and resequence (E&R) experiments, in which artificial selection is imposed on organisms in a controlled environment, are becoming an increasingly accessible tool for studying the genetic basis of adaptation. Previous work has assessed how different experimental design parameters affect the power to detect the quantitative trait loci (QTL) that underlie adaptive responses in such experiments, but so far...
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