Dissertation Research: Genetic Structure of an Old Growth Stand of Turkey Oak

有限基因流的理论研究与计算机模拟 在均匀分布的植物种群中， 基因相似个体的发展。 这 这项研究将测量一个大的 土耳其栎（Quercus laevis）的老林，以测试 距离隔离模型 这个摊位的年龄，它的地毯- 像分布，和均匀的栖息地使它成为一个很好的 最简单的遗传隔离距离测试案例 情节 将在10米网格和10棵树上测量160米X 160米的地块 将从256个样方中抽取样本。 这些将是 用淀粉凝胶法对12个多态性等位酶位点进行了基因分型 电泳 空间结构将被描述为 空间自相关、频谱分析和随机 模型 父排除和交配系统分析将是 用于估计花粉和种子传播的分布 的距离. 观察到的人口统计学、异交率和花粉参数 种子的传播将被用于计算机模拟， 预测空间统计的预期值， 与观察值相比，作为隔离试验， 距离模型

Theoretical studies and computer simulations of limited gene flow in uniformly distributed plant populations predict the development of patches of genetically similar individuals. This study will measure the fine-scale genetic structure of a large old-growth stand of Turkey Oak (Quercus laevis) to test the isolation-by-distance model. The age of this stand, its carpet- like distribution, and the uniform habitat make it an excellent test case for genetic isolation-by- distance in the most simple circumstances. A plot of 160m X 160m will be surveyed on a 10m grid and 10 trees will be sampled from each of 256 quadrats. These will be genotyped for 12 polymorphic allozyme loci using starch gel electrophoresis. Spatial structure will be described with spatial autocorrelation, spectral analysis, and stochastic models. Paternity exclusion and mating system analysis will be used to estimate the distribution of pollen and seed travel distances. Observed parameters of demography, outcrossing rate, and pollen and seed dispersal will be used in a computer simulation to predict expected values of the spatial statistics which will be compared with the observed values as a test of the isolation-by- distance model.