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Separating Effects of Gene Flow and Natural Selection along an Environmental Gradient
Authors:Sergei Volis  Yong-Hong Zhang
Affiliation:(1) Life Sciences Department, Ben-Gurion University of the Negev, P.O. Box 653, Beer Sheva, 84105, Israel;(2) Present address: Key Laboratory of Biodiversity and Biogeography, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan, 650204, People’s Republic of China
Abstract:Genetic differentiation along environmental clines is often observed as a result of interplay between gene flow and natural selection. In order to understand the relative roles of these processes in shaping this differentiation, we designed a study in which we used two approaches that have not previously been combined, the Q STF ST comparison and crossbreeding. We examined (1) interpopulation phenotypic and genetic (AFLP) variation, and (2) performance of interpopulation hybrids in a common annual Senecio glaucus. Fitness of interpopulation hybrids (F1 and F2) was tested under simulated population natural conditions in terms of aridity and analyzed for a relationship with (1) spatial distance and (2) environmental differences (amount of annual rainfall). While phenotypic variation corresponded to the clinal changes in aridity along population locations, viz. narrower and longer leaves, longer leaf outgrowths and advanced flowering in more arid environments, the F ST < 0.1 calculated from AFLP data suggested intensive interpopulation gene flow, with little if any contribution of genetic drift. Performance of hybrids in simulated natural environments revealed heterosis in F1, but a hybrid breakdown in F2 generation. These effects were related to both the spatial distance between hybrid parents and their population rainfall differences. The detected clinal phenotypic variation and outbreeding depression in F2 strongly support presence of aridity-induced clinal natural selection, which is matched by the observed Q ST ≫ F ST. From this we conclude that Q STF ST comparison can detect effect of diversifying selection when patterns of phenotypic variation across sampled locations can be reliably predicted from environmental variation.
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