Medicine and Health Sciences Commons^™

Genome-Wide Scans Detect Adaptation To Aridity In A Widespread Forest Tree Species [Dataset], Dorothy A. Steane, Brad M. Potts, Elizabeth Mcclean, Suzanne M. Prober, William D. Stock, René E. Vaillancourt, Margaret Byrne

Research Datasets

Patterns of adaptive variation within plant species are best studied through common garden experiments, but these are costly and time-consuming, especially for trees that have long generation times. We explored whether genome-wide scanning technology combined with outlier marker detection could be used to detect adaptation to climate and provide an alternative to common garden experiments. As a case study, we sampled nine provenances of the widespread forest tree species, Eucalyptus tricarpa, across an aridity gradient in southeastern Australia. Using a Bayesian analysis we identified a suite of 94 putatively adaptive (outlying) sequence-tagged markers across the genome. Population-level allele frequencies of …