Frichot E, Schoville S D, de Villemereuil P, Gaggiotti O E, François O
Université Joseph Fourier Grenoble, Centre National de la Recherche Scientifique, TIMC-IMAG UMR 5525, Grenoble, France.
University of Wisconsin-Madison, Department of Entomology, Madison, WI, USA.
Heredity (Edinb). 2015 Jul;115(1):22-8. doi: 10.1038/hdy.2015.7. Epub 2015 Feb 18.
Population genetic signatures of local adaptation are frequently investigated by identifying loci with allele frequencies that exhibit high correlation with ecological variables. One difficulty with this approach is that ecological associations might be confounded by geographic variation at selectively neutral loci. Here, we consider populations that underwent spatial expansion from their original range, and for which geographical variation of adaptive allele frequency coincides with habitat gradients. Using range expansion simulations, we asked whether our ability to detect genomic regions involved in adaptation could be impacted by the orientation of the ecological gradients. For three ecological association methods tested, we found, counter-intuitively, fewer false-positive associations when ecological gradients aligned along the main axis of expansion than when they aligned along any other direction. This result has important consequences for the analysis of genomic data under non-equilibrium population genetic models. Alignment of gradients with expansion axes is likely to be common in scenarios in which expanding species track their ecological niche during climate change while adapting to changing environments at their rear edge.
局部适应性的群体遗传特征通常通过识别等位基因频率与生态变量呈现高度相关性的基因座来进行研究。这种方法的一个难点在于,生态关联可能会被选择性中性基因座的地理变异所混淆。在这里,我们考虑那些从其原始分布范围进行空间扩张的群体,并且适应性等位基因频率的地理变异与栖息地梯度相吻合。通过范围扩张模拟,我们探讨了检测参与适应性的基因组区域的能力是否会受到生态梯度方向的影响。对于所测试的三种生态关联方法,我们发现,与直觉相反的是,当生态梯度沿着扩张的主轴排列时,假阳性关联比沿着任何其他方向排列时要少。这一结果对于非平衡群体遗传模型下的基因组数据分析具有重要意义。在扩张物种在气候变化期间追踪其生态位同时在其后缘适应不断变化的环境的情况下,梯度与扩张轴的对齐可能很常见。