Protocol for Projecting Allele Frequency Change under Future Climate Change at Adaptive- Associated Loci

被引:2
|
作者
Blumstein, Meghan [1 ]
Richardson, Andrew [2 ,3 ]
Weston, David [4 ]
Zhang, Jin [4 ]
Muchero, Wellington [4 ]
Hopkins, Robin [1 ,5 ]
机构
[1] Harvard Univ, Dept Organism & Evolutionary Biol, 26 Oxford St, Cambridge, MA 02138 USA
[2] No Arizona Univ, Ctr Ecosyst Sci & Soc, Flagstaff, AZ 86011 USA
[3] No Arizona Univ, Sch Informat Comp & Cyber Syst, Flagstaff, AZ 86011 USA
[4] Oak Ridge Natl Lab, Biosci Div, Oak Ridge, TN 37831 USA
[5] Arnold Arboretum, 1300 Ctr St, Boston, MA 02130 USA
来源
STAR PROTOCOLS | 2020年 / 1卷 / 02期
基金
美国国家科学基金会;
关键词
D O I
10.1016/j.xpro.2020.100061
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
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).
引用
收藏
页数:10
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