GENE FLOW IN NATURAL POPULATIONS

本研究的长期目标是开发 统计方法，将允许估计的水平 以及自然种群中从基因 频率数据 开发的方法将有助于 解释基因空间分布的数据， 通过电泳和通过直接测量获得的数据来区分 DNA测序 这项研究将有助于了解 自然资源移徙的历史和目前模式 人口和开发的方法将是有用的， 了解人类种群的遗传历史， 也可用于人口管理，包括 濒危物种的数量，因为它将提供一个工具， 来划分独立种群的边界。 此外，这项研究将有助于预测 转基因生物扩散的速度和程度 在故意或意外释放之后。 将在四个一般领域进行研究。 (1)方法 将用于估计移民的平均人数 在同一物种的不同种群之间交换， 用于确定一个物种是否受到频繁的 干扰. (2)将开发用于推断 人口迁移的模式。 (3)方法将 用来解释DNA序列的差异 追踪一个种群中新突变的历史。 （四） 多基因家族的进化动力学模型将是 为单一人群和地理结构 人口。

The long term goal of this research is the development of statistical methods that will allow the estimation of the levels and patterns of migration in natural populations from gene frequency data. The methods developed will be useful for interpreting data on the spatial distribution of genes that can be distinguished by electrophoresis and on data obtained by directly sequencing DNA. This research will be useful for understanding the history and current patterns of migration in natural populations and the methods developed will be useful for understanding the genetic history of human populations It will also be useful for the management of populations including populations of endangered species because it will provide a tool for delimiting the boundaries of independent populations. Furthermore, this research will assist in making predictions about the rate and extent of spread of genetically modified organisms after their intentional or accidental release. The research to be done will be in four general areas. (1) Methods will be developed for estimating the average number of migrants that are exchanged between different populations of a species and for determining whether a species is subject to frequent disturbances. (2) Methods will be developed for inferring the pattern of migration among populations. (3) Methods will be developed for interpreting differences in DNA sequences to allow the tracing of the history of new mutations in a population. (4) Models of the evolutionary dynamics of multigene families will be developed for single populations and for geographically structured populations.