title: Genetic heterogeneity underlying variation in a locally adaptive clinal trait in Pinus sylvestris revealed by a Bayesian multipopulation analysis.
abstract: Local adaptation is a common feature of plant and animal populations. Adaptive phenotypic traits are genetically differentiated along environmental gradients, but the genetic basis of such adaptation is still poorly known. Genetic association studies of local adaptation combine data over populations. Correcting for population structure in these studies can be problematic since both selection and neutral demographic events can create similar allele frequency differences between populations. Correcting for demography with traditional methods may lead to eliminating some true associations. We developed a new Bayesian approach for identifying the loci underlying an adaptive trait in a multipopulation situation in the presence of possible double confounding due to population stratification and adaptation. With this method we studied the genetic basis of timing of bud set, a surrogate trait for timing of yearly growth cessation that confers local adaptation to the populations of Scots pine (Pinus sylvestris). Population means of timing of bud set were highly correlated with latitude. Most effects at individual loci were small. Interestingly, we found genetic heterogeneity (that is, different sets of loci associated with the trait) between the northern and central European parts of the cline. We also found indications of stronger stabilizing selection toward the northern part of the range. The harsh northern conditions may impose greater selective pressure on timing of growth cessation, and the relative importance of different environmental cues used for tracking the seasons might differ depending on latitude of origin.
authors.affiliation: Department of Ecology and Genetics, University of Oulu, Oulu, Finland.|Biocenter Oulu, University of Oulu, Oulu, Finland.
authors.forename: S T
authors.initials: ST
authors.lastname: Kujala
authors.affiliation: Department of Mathematics and Statistics, University of Helsinki, Helsinki, Finland.|Natural Resources Institute Finland (Luke), Green Technology, Jokioinen, Finland.
authors.forename: T
authors.initials: T
authors.lastname: Knürr
authors.affiliation: Natural Resources Institute Finland (Luke), Green Technology, Oulu, Finland.
authors.forename: K
authors.initials: K
authors.lastname: Kärkkäinen
authors.affiliation: Department of Plant Sciences, University of California, Davis, CA, USA.
authors.forename: D B
authors.initials: DB
authors.lastname: Neale
authors.affiliation: Department of Ecology and Genetics, University of Oulu, Oulu, Finland.|Biocenter Oulu, University of Oulu, Oulu, Finland.|Department of Mathematical Sciences, University of Oulu, Oulu, Finland.
authors.forename: M J
authors.initials: MJ
authors.lastname: Sillanpää
authors.affiliation: Department of Ecology and Genetics, University of Oulu, Oulu, Finland.|Biocenter Oulu, University of Oulu, Oulu, Finland.
authors.forename: O
authors.initials: O
authors.lastname: Savolainen
mesh_terms: D000222:Adaptation, Physiological / Q000235:genetics*; D001499:Bayes Theorem; D005060:Europe; D035264:Flowers / Q000502:physiology; D005828:Genetics, Population / Q000379:methods*; D005838:Genotype; D008957:Models, Genetic; D010641:Phenotype; D041605:Pinus sylvestris / Q000235:genetics* / Q000502:physiology; D020641:Polymorphism, Single Nucleotide