Genomic signals of selection predict climate-driven population declines in a migratory bird
Genomic signals of selection predict climate-driven population declines in a migratory bird
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DOI：
10.1126/science.aan4380
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发表时间：
2018-01-05
期刊：
影响因子：
56.9
通讯作者：
Ruegg, Kristen
中科院分区：
文献类型：
--
作者：
Bay, Rachael A.;Harrigan, Ryan J.;Ruegg, Kristen
快速的气候变化导致生物多样性不断丧失，这需要准确的模型来预测物种的反应。尽管有证据表明进化适应可以减轻气候变化的影响，但进化很少被纳入预测模型。综合人口基因组学和环境数据，我们确定了与气候相关的基因组变异的整个繁殖范围的迁徙鸣禽，黄莺（Setophaga petechia）。需要等位基因频率发生最大变化才能跟上未来气候变化步伐的种群经历了最大的人口下降，这表明未能适应可能已经对种群产生了负面影响。从广义上讲，我们的研究表明，基因组适应的整合可以提高未来物种分布模型的准确性，并最终指导更有效的减缓努力。
The ongoing loss of biodiversity caused by rapid climatic shifts requires accurate models for predicting species' responses. Despite evidence that evolutionary adaptation could mitigate climate change impacts, evolution is rarely integrated into predictive models. Integrating population genomics and environmental data, we identified genomic variation associated with climate across the breeding range of the migratory songbird, yellow warbler (Setophaga petechia). Populations requiring the greatest shifts in allele frequencies to keep pace with future climate change have experienced the largest population declines, suggesting that failure to adapt may have already negatively affected populations. Broadly, our study suggests that the integration of genomic adaptation can increase the accuracy of future species distribution models and ultimately guide more effective mitigation efforts.