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FINE‐SCALE GENETIC STRUCTURE IN A WILD BIRD POPULATION: THE ROLE OF LIMITED DISPERSAL AND ENVIRONMENTALLY BASED SELECTION AS CAUSAL FACTORS
Authors:Colin J Garroway  Reinder Radersma  Irem Sepil  Anna W Santure  Isabelle De Cauwer  Jon Slate  Ben C Sheldon
Institution:1. Edward Grey Institute, Department of Zoology, University of Oxford, , Oxford, OX1 3PS, United Kingdom;2. Department of Animal and Plant Sciences, , Sheffield S10 2TN, United Kingdom;3. Laboratoire de Génétique et Evolution des Populations Végétales UMR CNRS 8198, Batiment SN2, Université des Sciences et Technologies de Lille—Lille 1, , F‐59655 Villeneuve d'Ascq Cedex, France
Abstract:Individuals are typically not randomly distributed in space; consequently ecological and evolutionary theory depends heavily on understanding the spatial structure of populations. The central challenge of landscape genetics is therefore to link spatial heterogeneity of environments to population genetic structure. Here, we employ multivariate spatial analyses to identify environmentally induced genetic structures in a single breeding population of 1174 great tits Parus major genotyped at 4701 single‐nucleotide polymorphism (SNP) loci. Despite the small spatial scale of the study relative to natal dispersal, we found multiple axes of genetic structure. We built distance‐based Moran's eigenvector maps to identify axes of pure spatial variation, which we used for spatial correction of regressions between SNPs and various external traits known to be related to fitness components (avian malaria infection risk, local density of conspecifics, oak tree density, and altitude). We found clear evidence of fine‐scale genetic structure, with 21, seven, and nine significant SNPs, respectively, associated with infection risk by two species of avian malaria (Plasmodium circumflexum and P. relictum) and local conspecific density. Such fine‐scale genetic structure relative to dispersal capabilities suggests ecological and evolutionary mechanisms maintain within‐population genetic diversity in this population with the potential to drive microevolutionary change.
Keywords:Genome‐environment association study  landscape genetics  Moran's eigenvector maps  Parus major  plasmodium  SNPs
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