Department of Organismic and Evolutionary Biology, Harvard University, 26 Oxford Street, Cambridge, MA 02138, USA.
Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ 86011, USA.
STAR Protoc. 2020 Jul 15;1(2):100061. doi: 10.1016/j.xpro.2020.100061. eCollection 2020 Sep 18.
We describe how to predict population-level allele frequency change at loci associated with locally adapted traits under future climate conditions. Our method can identify populations that are at higher risk of local extinction and those that might be prime targets for conservation intervention. We draw on previously developed community ecology statistical methods and apply them in novel ways to plant genomes. While a powerful diagnostic tool, our method requires a wealth of genomic data for use. For complete details on the use and execution of this protocol, please refer to Blumstein et al. (2020).
我们描述了如何在未来的气候条件下预测与局部适应性状相关的基因座的群体等位基因频率变化。我们的方法可以识别出那些更容易局部灭绝的种群，以及那些可能是保护干预的主要目标的种群。我们借鉴了先前开发的群落生态学统计方法，并以新的方式应用于植物基因组。虽然这是一种强大的诊断工具，但我们的方法需要大量的基因组数据才能使用。有关该协议的使用和执行的完整详细信息，请参阅 Blumstein 等人（2020 年）。
