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Landscape genomic prediction for restoration of a Eucalyptus foundation species under climate change
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 re...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5951681/ https://www.ncbi.nlm.nih.gov/pubmed/29685183 http://dx.doi.org/10.7554/eLife.31835 |
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author | Supple, Megan Ann Bragg, Jason G Broadhurst, Linda M Nicotra, Adrienne B Byrne, Margaret Andrew, Rose L Widdup, Abigail Aitken, Nicola C Borevitz, Justin O |
author_facet | Supple, Megan Ann Bragg, Jason G Broadhurst, Linda M Nicotra, Adrienne B Byrne, Margaret Andrew, Rose L Widdup, Abigail Aitken, Nicola C Borevitz, Justin O |
author_sort | Supple, Megan Ann |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5951681 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-59516812018-05-16 Landscape genomic prediction for restoration of a Eucalyptus foundation species under climate change Supple, Megan Ann Bragg, Jason G Broadhurst, Linda M Nicotra, Adrienne B Byrne, Margaret Andrew, Rose L Widdup, Abigail Aitken, Nicola C Borevitz, Justin O eLife Plant Biology 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. eLife Sciences Publications, Ltd 2018-04-24 /pmc/articles/PMC5951681/ /pubmed/29685183 http://dx.doi.org/10.7554/eLife.31835 Text en © 2018, Supple et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Plant Biology Supple, Megan Ann Bragg, Jason G Broadhurst, Linda M Nicotra, Adrienne B Byrne, Margaret Andrew, Rose L Widdup, Abigail Aitken, Nicola C Borevitz, Justin O Landscape genomic prediction for restoration of a Eucalyptus foundation species under climate change |
title | Landscape genomic prediction for restoration of a Eucalyptus foundation species under climate change |
title_full | Landscape genomic prediction for restoration of a Eucalyptus foundation species under climate change |
title_fullStr | Landscape genomic prediction for restoration of a Eucalyptus foundation species under climate change |
title_full_unstemmed | Landscape genomic prediction for restoration of a Eucalyptus foundation species under climate change |
title_short | Landscape genomic prediction for restoration of a Eucalyptus foundation species under climate change |
title_sort | landscape genomic prediction for restoration of a eucalyptus foundation species under climate change |
topic | Plant Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5951681/ https://www.ncbi.nlm.nih.gov/pubmed/29685183 http://dx.doi.org/10.7554/eLife.31835 |
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