INTEGRATIVE TESTING OF HOW ENVIRONMENTS FROM THE PAST TO THE PRESENT SHAPE GENETIC STRUCTURE ACROSS LANDSCAPES
INTEGRATIVE TESTING OF HOW ENVIRONMENTS FROM THE PAST TO THE PRESENT SHAPE GENETIC STRUCTURE ACROSS LANDSCAPES
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DOI：
10.1111/evo.12159
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发表时间：
2013-12-01
期刊：
影响因子：
3.3
通讯作者：
Knowles, L. Lacey
中科院分区：
文献类型：
--
作者：
He, Qixin;Edwards, Danielle L.;Knowles, L. Lacey
在景观遗传学中，对经验种群遗传结构的测试通常侧重于种群连通性与地理和/或环境因素之间的相关关系。然而，这种测试可能会忽略或错误识别候选因素对遗传结构的影响，特别是当过去和现在的人群之间的连接模式因环境条件的变化而不同时。在这里，我们从24个核位点对澳大利亚蜥蜴（Lerista lineopunctulata）种群遗传变异的结构因素进行了测试，以解释与暂时动态景观相关的种群连通性的潜在人口组成部分。相关测试不支持与静态当代景观相关因素的显著影响。然而，遗传分化的空间明确的人口统计学模型表明，环境条件的变化（根据古气候数据估计）以及从过去到现在的相应分布变化显著地结构了遗传变异。基于模型的推断结果（即，通过综合建模方法产生空间明确的期望，并通过近似贝叶斯计算进行测试）与相关分析的结果形成对比，突出了扩展景观遗传视角以测试模式和过程之间的联系的重要性，揭示了因素如何塑造物种内遗传变异的模式。
Tests of the genetic structure of empirical populations typically focus on the correlative relationships between population connectivity and geographic and/or environmental factors in landscape genetics. However, such tests may overlook or misidentify the impact of candidate factors on genetic structure, especially when connectivity patterns differ between past and present populations because of shifting environmental conditions over time. Here we account for the underlying demographic component of population connectivity associated with a temporarily dynamic landscape in tests of the factors structuring population genetic variation in an Australian lizard, Lerista lineopunctulata, from 24 nuclear loci. Correlative tests did not support significant effect from factors associated with a static contemporary landscape. However, spatially explicit demographic modeling of genetic differentiation shows that changes in environmental conditions (as estimated from paleoclimatic data) and corresponding distributional shifts from the past to present landscape significantly structures genetic variation. Results from model-based inference (i.e., from an integrative modeling approach that generates spatially explicit expectations that are tested with approximate Bayesian computation) contrasts with those from correlative analyses, highlighting the importance of expanding the landscape genetic perspective to tests the links between pattern and process, revealing how factors shape patterns of genetic variation within species.