Looking for Local Adaptation: Convergent Microevolution in Aleppo Pine (Pinus halepensis).

ABSTRACT: Finding outlier loci underlying local adaptation is challenging and is best approached by suitable sampling design and rigorous method selection. In this study, we aimed to detect outlier loci (single nucleotide polymorphisms, SNPs) at the local scale by using Aleppo pine (Pinus halepensis), a drought resistant conifer that has colonized many habitats in the Mediterranean Basin, as the model species. We used a nested sampling approach that considered replicated altitudinal gradients for three contrasting sites. We genotyped samples at 294 SNPs located in genomic regions selected to maximize outlier detection. We then applied three different statistical methodologies-Two Bayesian outlier methods and one latent factor principal component method-To identify outlier loci. No SNP was an

SUBMITTER: Ruiz Daniels R 

PROVIDER: S-EPMC6771008 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature