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Genome-wide scans detect adaptation to aridity in a widespread forest tree species
journal contribution
posted on 2023-05-18, 00:56 authored by Dorothy SteaneDorothy Steane, Bradley PottsBradley Potts, McLean, E, Prober, SM, Stock, WD, Rene VaillancourtRene Vaillancourt, Byrne, MPatterns 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.
Funding
Department of Climate Change and Energy Efficiency
History
Publication title
Molecular EcologyVolume
23Issue
10Pagination
2500-2513ISSN
0962-1083Department/School
School of Natural SciencesPublisher
Blackwell Publishing LtdPlace of publication
9600 Garsington Rd, Oxford, England, Oxon, Ox4 2DgRights statement
Copyright 2014 John Wiley & Sons LtdRepository Status
- Restricted