Pilger Tyler J, Gido Keith B, Propst David L, Whitney James E, Turner Thomas F
Department of Biology and Museum of Southwestern Biology, MSC 03-2020, University of New Mexico, Albuquerque, NM, 87131, USA.
Division of Biology, Kansas State University, 116 Ackert Hall, Manhattan, KS, 66506, USA.
Mol Ecol. 2017 May;26(10):2687-2697. doi: 10.1111/mec.14079. Epub 2017 Mar 20.
Dendritic ecological network (DEN) architecture can be a strong predictor of spatial genetic patterns in theoretical and simulation studies. Yet, interspecific differences in dispersal capabilities and distribution within the network may equally affect species' genetic structuring. We characterized patterns of genetic variation from up to ten microsatellite loci for nine numerically dominant members of the upper Gila River fish community, New Mexico, USA. Using comparative landscape genetics, we evaluated the role of network architecture for structuring populations within species (pairwise F ) while explicitly accounting for intraspecific demographic influences on effective population size (N ). Five species exhibited patterns of connectivity and/or genetic diversity gradients that were predicted by network structure. These species were generally considered to be small-bodied or habitat specialists. Spatial variation of N was a strong predictor of pairwise F for two species, suggesting patterns of connectivity may also be influenced by genetic drift independent of network properties. Finally, two study species exhibited genetic patterns that were unexplained by network properties and appeared to be related to nonequilibrium processes. Properties of DENs shape community-wide genetic structure but effects are modified by intrinsic traits and nonequilibrium processes. Further theoretical development of the DEN framework should account for such cases.
在理论和模拟研究中,树状生态网络(DEN)结构可能是空间遗传模式的有力预测指标。然而,网络内扩散能力和分布的种间差异可能同样会影响物种的遗传结构。我们对美国新墨西哥州吉拉河上游鱼类群落中九个数量占优势成员的多达十个微卫星位点的遗传变异模式进行了表征。使用比较景观遗传学,我们评估了网络结构在构建物种内种群(成对F)方面的作用,同时明确考虑了种内人口统计学对有效种群大小(N)的影响。五个物种表现出由网络结构预测的连通性和/或遗传多样性梯度模式。这些物种通常被认为是体型较小的物种或栖息地专家。对于两个物种,N的空间变异是成对F的有力预测指标,这表明连通性模式也可能受到与网络属性无关的遗传漂变的影响。最后,两个研究物种表现出无法用网络属性解释的遗传模式,并且似乎与非平衡过程有关。DEN的属性塑造了整个群落的遗传结构,但影响会因内在特征和非平衡过程而改变。DEN框架的进一步理论发展应考虑到此类情况。