Population differentiation (PD) and ecological association (EA) tests have recently emerged
as prominent statistical methods to investigate signatures of local adaptation using …

Characterizing the population history of a species and identifying loci underlying local
adaptation is crucial in functional ecology, evolutionary biology, conservation and …

The r package pcadapt performs genome scans to detect genes under selection based on
population genomic data. It assumes that candidate markers are outliers with respect to how …

Abstract Principal Component Analysis (PCA) is a multivariate analysis that reduces the
complexity of datasets while preserving data covariance. The outcome can be visualized on …

The spatial structure of the environment (eg the configuration of habitat patches) may play
an important role in determining the strength of local adaptation. However, previous studies …

Ordination is a common tool in ecology that aims at representing complex biological
information in a reduced space. In landscape genetics, ordination methods such as principal …

Insecticide resistance and rapid pest evolution threatens food security and the development
of sustainable agricultural practices, yet the evolutionary mechanisms that allow pests to …

Principal component analysis (PCA) is often used to describe overall population structure—
patterns of relatedness arising from past demographic history—among a set of genomes …

Global trade has considerably accelerated biological invasions. The annual tropical
teosintes, the closest wild relatives of maize, were recently reported as new agricultural …

Background The genetic bases of many complex phenotypes are still largely unknown,
mostly due to the polygenic nature of the traits and the small effect of each associated …