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Testing the role of ancient and contemporary landscapes on structuring genetic variation in a specialist grasshopper

AutorNoguerales, Víctor ; Cordero, Pedro J. ; Ortego, Joaquín
Palabras claveGenetic diversity
Genetic structure
Isolation by resistance
Topographic complexity
Climate niche modeling
Bayesian inference,
Fecha de publicación2017
EditorWiley-Blackwell
CitaciónEcology and Evolution 7: 3110- 3122 (2017)
ResumenUnderstanding the processes underlying spatial patterns of genetic diversity and structure of natural populations is a central topic in evolutionary biogeography. In this study, we combine data on ancient and contemporary landscape composition to get a comprehensive view of the factors shaping genetic variation across the populations of the scrub-legume grasshopper (Chorthippus binotatus binotatus) from the biogeographically complex region of southeast Iberia. First, we examined geographical patterns of genetic structure and employed an approximate Bayesian computation (ABC) approach to compare different plausible scenarios of population divergence. Second, we used a landscape genetic framework to test for the effects of (1) Late Miocene paleogeography, (2) Pleistocene climate fluctuations, and (3) contemporary topographic complexity on the spatial patterns of population genetic differentiation. Genetic structure and ABC analyses supported the presence of three genetic clusters and a sequential west-to-east splitting model that predated the last glacial maximum (LGM, c. 21 Kya). Landscape genetic analyses revealed that population genetic differentiation was primarily shaped by contemporary topographic complexity, but was not explained by any paleogeographic scenario or resistance distances based on climate suitability in the present or during the LGM. Overall, this study emphasizes the need of integrating information on ancient and contemporary landscape composition to get a comprehensive view of their relative importance to explain spatial patterns of genetic variation in organisms inhabiting regions with complex biogeographical histories.
URIhttp://hdl.handle.net/10261/158049
DOI10.1002/ece3.2810
Identificadoresdoi: 10.1002/ece3.2810
issn: 2045-7758
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