Kristen Ruegg

The paper develops a method to identify adaptive variation in spatially structured populations using low-coverage whole-genome sequencing data, showing reduced false negatives by accounting for genotype uncertainty and structured migration.

This paper uses genetic data to determine the origin of vagrant yellow-browed warblers in Europe, finding they originate from central Siberia, suggesting mass misorientation.

The paper examines how summer rainfall influences adaptation and gene flow in the clouded sulfur butterfly across environmental gradients.

The paper assesses adaptive capacity in an alpine species complex using genomics and ecology to identify climate vulnerability across taxonomic scales.

This study uses whole genome sequencing to show hybridisation and ghost introgression among three white-eye species on Norfolk Island, despite their long divergence.

The paper investigates migration patterns and hybridization in Asian stonechats around the Qinghai-Tibet Plateau, finding a migratory divide with hybridization and diverse routes.

This study assesses climate vulnerability in an alpine bird species by linking population density to habitat features across multiple timescales.

The paper develops a hierarchical Bayesian model to identify local adaptation by accounting for observational uncertainty and evolutionary processes, finding 30 genes associated with temperature seasonality in Willow Flycatchers.

This study uses genome data from 35 bird species to show that long-distance migration promotes genetic diversity and spatial genetic structure due to philopatry, not dispersal.

The paper introduces LI-Seq, a low-input DNA method for whole genome library preparation that works with as little as 0.48 ng of DNA, achieving comparable sequencing quality to higher input samples.

The paper develops a simulation framework to study the dynamics of genomic islands of divergence under various population genetic scenarios and identifies key factors influencing their formation.