Predicting adaptation and range expansion under climate change

该项目通过利用150多年来采样的1000个基因组和多种气候梯度来研究快速适应、全球入侵和高度过敏性豚草的可重复性，从而研究适应气候变化的可预测性。我们期望通过整合一种新的进化模型和基因组数据，加深我们对适应的遗传基础的理解，并破译适应性遗传变化可重复的环境。我们将利用一个强大的经验数据集来发展预测气候变化下物种分布和特征进化的能力。这将使我们有能力预测和管理气候变化对有毒和受威胁物种的影响。

This project investigates the repeatability and thereby the predictability of adaptation to climate change by leveraging 1000 genomes sampled over 150 years and multiple climatic gradients in the rapidly adapting, globally invasive, and highly allergenic ragweed. We expect to deepen our understanding of the genetic basis of adaptation and decipher the circumstances under which adaptive genetic change is repeatable, by integrating a novel evolutionary model with genomic data. We will develop the capacity to predict species’ distributions and trait evolution under climate change using a powerful empirical dataset. This will provide us with the capacity to anticipate and manage the effects of climate change on noxious and threatened species.