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Landscape genomic prediction for restoration of a Eucalyptus foundation species under climate change

  • Megan Ann Supple
  • , Jason G Bragg
  • , Linda M Broadhurst
  • , Adrienne B Nicotra
  • , Margaret Byrne
  • , Rose L Andrew
  • , Abigail Widdup
  • , Nicola C Aitken
  • , Justin O Borevitz

Research output: Contribution to journalArticlepeer-review

61 Citations (Scopus)

Abstract

As species face rapid environmental change, we can build resilient populations through restoration projects that incorporate predicted future climates into seed sourcing decisions. Eucalyptus melliodora is a foundation species of a critically endangered community in Australia that is a target for restoration. We examined genomic and phenotypic variation to make empirical based recommendations for seed sourcing. We examined isolation by distance and isolation by environment, determining high levels of gene flow extending for 500 km and correlations with climate and soil variables. Growth experiments revealed extensive phenotypic variation both within and among sampling sites, but no site-specific differentiation in phenotypic plasticity. Model predictions suggest that seed can be sourced broadly across the landscape, providing ample diversity for adaptation to environmental change. Application of our landscape genomic model to E. melliodora restoration projects can identify genomic variation suitable for predicted future climates, thereby increasing the long term probability of successful restoration.
Original languageEnglish
Article numbere31835
Pages (from-to)1-22
JournaleLife
Volume7
DOIs
Publication statusPublished - 24 Apr 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

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