GENE FLOW IN NATURAL POPULATIONS

这项研究的长期目标是发展 将允许估计水平的统计方法 和基因在自然种群中的迁移模式 频率数据。所开发的方法将对 解释关于基因空间分布的数据 通过电泳法和直接法获得的数据进行区分 DNA测序。这项研究将有助于理解 自然界生物迁徙的历史和现状 人口和开发的方法将对 了解人类种群的遗传史将是 也有助于人口的管理，包括 濒危物种的数量，因为它将提供一种工具 划定独立人口的边界。 此外，这项研究将有助于对 转基因生物传播的速度和程度 在故意或意外释放后。 将要进行的研究将在四个一般领域进行。(一)方法 将被开发用于估计移民的平均数量 在一个物种的不同种群之间进行交换 用于确定某一物种是否经常受到 骚乱。(2)将开发方法来推断 人口间的迁移模式。(3)方法将是 为解释DNA序列中的差异而开发的 对种群中新突变的历史的追踪。(4) 多基因家族进化动力学的模型将是 为单个种群和地理结构开发的 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.