Genome-wide scans detect adaptation to aridity in a widespread forest tree species

Dorothy A. Steane, Brad M. Potts, Elizabeth McLean, Suzanne M. Prober, William D. Stock, Rene E. Vaillancourt, Margaret Byrne

Research output: Contribution to journalArticlepeer-review

85 Citations (Scopus)

Abstract

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 these outlier markers were strongly correlated with temperature and moisture availability at the site of origin, and with population differences in functional traits measured in two common gardens. Using the output from a canonical analysis of principal coordinates, we devised a metric that provides a holistic measure of genomic adaptation to aridity that could be used to guide assisted migration or genetic augmentation.

Original languageEnglish
Pages (from-to)2500-2513
Number of pages14
JournalMolecular Ecology
Volume23
Issue number10
DOIs
Publication statusPublished - May 2014

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