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基于景观基因组学的预测:在气候变化下对基础物种的恢复。

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

机构信息

Research School of Biology, The Australian National University, Canberra, Australia.

Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, Santa Cruz, United States.

出版信息

Elife. 2018 Apr 24;7:e31835. doi: 10.7554/eLife.31835.

Abstract

As species face rapid environmental change, we can build resilient populations through restoration projects that incorporate predicted future climates into seed sourcing decisions. 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 restoration projects can identify genomic variation suitable for predicted future climates, thereby increasing the long term probability of successful restoration.

摘要

随着物种面临快速的环境变化,我们可以通过恢复项目来建立有弹性的种群,这些项目将预测的未来气候纳入种子来源决策中。是澳大利亚一个濒危社区的基础物种,也是恢复的目标。我们检查了基因组和表型变异,以便为种子来源提供基于经验的建议。我们检查了距离隔离和环境隔离,确定了长达 500 公里的高水平基因流动,并与气候和土壤变量相关。生长实验揭示了广泛的表型变异,包括在采样点内和采样点之间,但没有表型可塑性的特定于地点的分化。模型预测表明,可以在整个景观中广泛采集种子,为适应环境变化提供充足的多样性。将我们的景观基因组模型应用于恢复项目可以识别适合预测未来气候的基因组变异,从而增加成功恢复的长期可能性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d74a/5951681/82e73c121c21/elife-31835-fig1.jpg

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