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The influence of landscape configuration and environment on population genetic structure in a sedentary passerine: insights from loci located in different genomic regions
Authors:E S Ferrer  V García‐Navas  J Bueno‐Enciso  R Barrientos  E Serrano‐Davies  C Cáliz‐Campal  J J Sanz  J Ortego
Institution:1. Grupo de Investigación de la Biodiversidad Genética y Cultural, Instituto de Investigación en Recursos Cinegéticos (CSIC‐UCLM‐JCCM), Ciudad Real, Spain;2. Departamento de Ciencias Ambientales, Facultad de Ciencias Ambientales y Bioquímica, Universidad de Castilla‐La Mancha, Toledo, Spain;3. Institute of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland;4. Department of Integrative Ecology, Estación Biológica de Do?ana (EBD‐CSIC), Seville, Spain;5. Departamento de Ecología Evolutiva, Museo Nacional de Ciencias Naturales (CSIC), Madrid, Spain
Abstract:The study of the factors structuring genetic variation can help to infer the neutral and adaptive processes shaping the demographic and evolutionary trajectories of natural populations. Here, we analyse the role of isolation by distance (IBD), isolation by resistance (IBR, defined by landscape composition) and isolation by environment (IBE, estimated as habitat and elevation dissimilarity) in structuring genetic variation in 25 blue tit (Cyanistes caeruleus) populations. We typed 1385 individuals at 26 microsatellite loci classified into two groups by considering whether they are located into genomic regions that are actively (TL; 12 loci) or not (NTL; 14 loci) transcribed to RNA. Population genetic differentiation was mostly detected using the panel of NTL. Landscape genetic analyses showed a pattern of IBD for all loci and the panel of NTL, but genetic differentiation estimated at TL was only explained by IBR models considering high resistance for natural vegetation and low resistance for agricultural lands. Finally, the absence for IBE suggests a lack of divergent selection pressures associated with differences in habitat and elevation. Overall, our study shows that markers located in different genomic regions can yield contrasting inferences on landscape‐level patterns of realized gene flow in natural populations.
Keywords:   Cyanistes caeruleus     gene flow  isolation‐by‐distance  isolation‐by‐environment  isolation‐by‐resistance  multiple matrix regression
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