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Habitat continuity and geographic distance predict population genetic differentiation in giant kelp

机译:生境连续性和地理距离预测巨型海带的种群遗传分化。

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Isolation by distance (IBD) models are widely used to predict levels of genetic connectivity as a function of Euclidean distance, and although recent studies have used GIS-landscape ecological approaches to improve the predictability of spatial genetic structure, few if any have addressed the effect of habitat continuity on gene flow. Landscape effects on genetic connectivity are even less Understood ill marine populations, where habitat mapping is particularly challenging. In this study, we model spatial genetic structure of a habitat-structuring species, the giant kelp Macrocystis pyrifera, highly variable microsatellite markers. GIS mapping was used to characterize habitat continuity and distance between sampling sites along the mainland coast of the Santa Barbara Channel, and their roles as predictors of genetic differentiation were evaluated. Mean dispersal distance (sigma) and effective population size (N-e) were estimated by comparing our IBD slope with those from simulations incorporating habitat continuity and spore dispersal characteristics of the study area. We found in allelic richness of 7-50 alleles/locus, which to our knowledge is the highest reported for macroalgae. The best regression model relating genetic distance to habitat variables included both geographic distance and habitat continuity. Which were respectively, positively and negatively related to genetic distance. Our results provide strong support for a dependence of gene flow on both distance and habitat continuity and elucidate the combination of N-e and sigma that explained genetic differentiation.
机译:按距离隔离(IBD)模型被广泛用于预测作为欧几里德距离的函数的遗传连通性水平,尽管最近的研究已经使用GIS-景观生态学方法来提高空间遗传结构的可预测性,但很少有人解决了这种影响连续性对基因流的影响景观对遗传连通性的影响甚至更少被了解的生病的海洋人口,那里的生境制图特别具有挑战性。在这项研究中,我们模拟了一个栖息地构造物种的空间遗传结构,即巨大的海带Macrocystis pyrifera,高度可变的微卫星标记。 GIS测绘用于表征圣巴巴拉海峡沿岸沿海采样点之间的栖息地连续性和距离,并评估了它们作为遗传分化预测因子的作用。通过将我们的IBD斜率与结合了研究区域的栖息地连续性和孢子扩散特征的模拟进行比较,可以估算出平均扩散距离(sigma)和有效种群数量(N-e)。我们发现等位基因丰富度为7-50个等位基因/基因座,据我们所知是最大的大型藻类报道。将遗传距离与栖息地变量相关联的最佳回归模型包括地理距离和栖息地连续性。它们分别与遗传距离正相关和负相关。我们的结果为基因流对距离和栖息地连续性的依赖性提供了有力的支持,并阐明了N-e和sigma的结合,可以解释遗传分化。

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