Department of Biological Sciences, Clemson University, Clemson, SC 29634, USA.
Trends Ecol Evol. 2011 Sep;26(9):448-56. doi: 10.1016/j.tree.2011.05.007. Epub 2011 Jun 29.
Gene flow estimation is essential for characterizing local adaptation, speciation potential and connectivity among threatened populations. New model-based population genetic methods can resolve complex demographic histories, but many studies in fields such as landscape genetics continue to rely on simple rules of thumb focused on gene flow to explain patterns of spatial differentiation. Here, we show how methods that use gene genealogies can reveal cryptic demographic histories and provide better estimates of gene flow with other parameters that contribute to genetic variation across landscapes and seascapes. We advocate for the expanded use and development of methods that consider spatial differentiation as the product of multiple forces interacting over time, and caution against a routine reliance on post-hoc gene flow interpretations.
基因流估计对于描述局部适应、物种形成潜力以及濒危种群之间的连通性至关重要。新的基于模型的种群遗传方法可以解决复杂的人口历史问题，但在景观遗传学等领域的许多研究仍然依赖于简单的经验法则，这些法则主要关注基因流，以解释空间分化模式。在这里，我们展示了如何使用基因谱系的方法来揭示隐藏的人口历史，并提供更好的基因流估计，同时考虑到其他参数，这些参数有助于解释景观和海域之间的遗传变异。我们提倡扩大使用和开发考虑空间分化的方法，这些方法将其视为多种力量随时间相互作用的产物，并警告不要常规地依赖事后的基因流解释。
