Journal article
Genome-wide scans detect adaptation to aridity in a widespread forest tree species
Molecular Ecology, Vol.23(10), pp.2500-2513
2014
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.
Details
- Title
- Genome-wide scans detect adaptation to aridity in a widespread forest tree species
- Authors
- Dorothy A Steane (Author) - University of the Sunshine Coast - Faculty of Science, Health, Education and EngineeringBrad M Potts (Author) - University of TasmaniaElizabeth McLean (Author) - Department of Parks and Wildlife, Western AustraliaSuzanne M Prober (Author) - CSIRO Ecosystem SciencesWilliam D Stock (Author) - Edith Cowan UniversityR E Vaillancourt (Author) - University of TasmaniaMargaret Byrne (Author) - Department of Parks and Wildlife, Western Australia
- Publication details
- Molecular Ecology, Vol.23(10), pp.2500-2513
- Publisher
- Wiley-Blackwell Publishing Ltd.
- Date published
- 2014
- DOI
- 10.1111/mec.12751
- ISSN
- 0962-1083
- Copyright note
- Copyright © 2014 Wiley-Blackwell Publishing Ltd. This is the accepted version of the following article: Steane, D. A., Potts, B. M., McLean, E., Prober, S. M., Stock, W. D., Vaillancourt, R. E. and Byrne, M. (2014), Genome-wide scans detect adaptation to aridity in a widespread forest tree species. Molecular Ecology, 23: 2500-2513. doi: 10.1111/mec.12751, which has been published in final form at http://dx.doi.org/10.1111/mec.12751
- Organisation Unit
- University of the Sunshine Coast, Queensland
- Language
- English
- Record Identifier
- 99448983202621
- Output Type
- Journal article
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- Collaboration types
- Domestic collaboration
- Web Of Science research areas
- Biochemistry & Molecular Biology
- Ecology
- Evolutionary Biology