Long-distance gene flow and adaptation of forest trees to rapid climate change.

Long-distance gene flow and adaptation of forest trees to rapid climate change.
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DOI:
10.1111/j.1461-0248.2012.01746.x
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发表时间:
2012-04
期刊:
影响因子:
8.8
通讯作者:
Schueler S
Schueler S
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Kremer A;Ronce O;Robledo-Arnuncio JJ;Guillaume F;Bohrer G;Nathan R;Bridle JR;Gomulkiewicz R;Klein EK;Ritland K;Kuparinen A;Gerber S;Schueler S

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森林树木是世界许多地区的主要物种,预测它们如何应对气候变化是一个至关重要的全球问题。树木能够进行远距离基因流动,这可以通过增加适应性的遗传变异来促进新环境中的适应性进化。然而,目前还不清楚这是否可以补偿基因流动的适应不良影响和树木的长世代时间。我们批判性地回顾了远距离基因流动的程度的数据,并总结了理论,使我们能够预测树木对气候变化的进化反应。基于直接观察和遗传学方法的长距离基因流动估计提供了证据,表明基因在一代人内的空间尺度可以比气候变化下预测的栖息地变化更大。理论和经验数据都表明,在许多情况下,基因流动对适应的积极影响可能占主导地位。然而,基因流动的积极后果与消极后果之间的平衡可能会因森林分布的前沿、核心和后部而有所不同。我们提出了未来的实验和理论研究,将更好地整合扩散生物学与进化数量遗传学和改善树木对气候变化的反应的预测。
Forest trees are the dominant species in many parts of the world and predicting how they might respond to climate change is a vital global concern. Trees are capable of long-distance gene flow, which can promote adaptive evolution in novel environments by increasing genetic variation for fitness. It is unclear, however, if this can compensate for maladaptive effects of gene flow and for the long-generation times of trees. We critically review data on the extent of long-distance gene flow and summarise theory that allows us to predict evolutionary responses of trees to climate change. Estimates of long-distance gene flow based both on direct observations and on genetic methods provide evidence that genes can move over spatial scales larger than habitat shifts predicted under climate change within one generation. Both theoretical and empirical data suggest that the positive effects of gene flow on adaptation may dominate in many instances. The balance of positive to negative consequences of gene flow may, however, differ for leading edge, core and rear sections of forest distributions. We propose future experimental and theoretical research that would better integrate dispersal biology with evolutionary quantitative genetics and improve predictions of tree responses to climate change.
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