Signatures of local adaptation in candidate genes of oaks (Quercus spp.) in respect to present and future climatic conditions

Testing how populations are locally adapted and predicting their response to their future environment is of key importance in view of climate change. Landscape genomics is a powerful approach to investigate genes and environmental factors involved in local adaptation. In a pooled amplicon sequencing approach of 94 genes in 71 populations, we tested if >3,500 single nucleotide polymorphisms (SNPs) in the three most common oak species in Switzerland (Quercus petraea, Q. pubescens, Q. robur) show an association with abiotic factors related to local topography, historical climate, and soil characteristics. In the analysis including all species, the most frequently associated environmental factors were those best describing the habitats of the species. In the species-specific analyses, the most important environmental factors and associated SNPs greatly differed among species. However, we identified one SNP and seven genes that were associated with the same environmental factor across all..., cpSNP allele frequenciesChloroplast SNP allele frequenciescpSNP_allele_frequencies.xlsxEnvironmental dataEnvironmental data from 1931-1960 and 2071-2100environmental_factors.xlsxnSSR genotypesMicrosatellite genotypesnSSR_genotypes.xlsxSNP allele frequencies in candidate genesSNP allele frequencies in candidate targetstargets_SNP_allele_frequencies.xlsxAmplified reference sequencesAmplified reference sequences of candidate genesamplified_reference_sequences.fasta, ,