Isolation by resistance
Isolation by resistance
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DOI：
10.1111/j.0014-3820.2006.tb00500.x
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发表时间：
2006-08-01
期刊：
影响因子：
3.3
通讯作者：
McRae, Brad H.
中科院分区：
文献类型：
--
作者：
McRae, Brad H.
尽管景观异质性对遗传结构的影响越来越感兴趣，但很少有工具可以将景观组成的数据纳入种群遗传研究。距离隔离的分析通常要么假设空间均匀性为方便起见，或应用理论上不合理的距离度量来补偿异质性。在这里，我提出了隔离电阻（IBR）模型作为一种替代预测平衡遗传结构在复杂的景观。该模型预测了遗传分化和电阻距离之间的正相关关系，电阻距离是一种利用电子网络中随机游走时间和有效电阻之间精确关系的距离度量。作为遗传分化的预测因子，抗性距离比欧氏距离或基于最小成本路径的距离测量方法在理论上更合理，对空间异质性更稳健。此外，该指标可以应用于广泛的数据输入，包括粗尺度范围图，物种范围内的栖息地和非栖息地的简单地图，或具有不同质量的栖息地和障碍的复杂空间数据集。因此，IBR模型提供了一个灵活和有效的工具，占栖息地异质性的研究隔离的距离，提高理解景观特征如何影响遗传结构，并预测遗传和进化的后果景观变化。
Despite growing interest in the effects of landscape heterogeneity on genetic structuring, few tools are available to incorporate data on landscape composition into population genetic studies. Analyses of isolation by distance have typically either assumed spatial homogeneity for convenience or applied theoretically unjustified distance metrics to compensate for heterogeneity. Here I propose the isolation-by-resistance (IBR) model as an alternative for predicting equilibrium genetic structuring in complex landscapes. The model predicts a positive relationship between genetic differentiation and the resistance distance, a distance metric that exploits precise relationships between random walk times and effective resistances in electronic networks. As a predictor of genetic differentiation, the resistance distance is both more theoretically justified and more robust to spatial heterogeneity than Euclidean or least cost path-based distance measures. Moreover, the metric can be applied with a wide range of data inputs, including coarse-scale range maps, simple maps of habitat and nonhabitat within a species' range, or complex spatial datasets with habitats and barriers of differing qualities. The IBR model thus provides a flexible and efficient tool to account for habitat heterogeneity in studies of isolation by distance, improve understanding of how landscape characteristics affect genetic structuring, and predict genetic and evolutionary consequences of landscape change.