Genealogical and Genetic Structure of Small Populations

在一个遗传隔离的小群体中， 家谱影响人口的遗传结构， 基因的数量和种类，以及相似性和 人口细分之间的差异。 相反，详细 个体间的遗传变异模式 关于最近的家谱历史的信息 人口，以及基因流动的模式。 研究 建议将制定方法来分析详细的影响， 基因存活的谱系结构，并推断 目前的基因数据。 后一个问题将是 在自然植物种群中进行研究。 开发的方法 也适用于任何其他小型自然动物， 植物种群，其中个体的遗传数据可以 获得，但家谱关系不能精确地 观察 系谱结构对群体数量和结构的影响 在一个小的孤立群体中， 对物种分离物的遗传管理的影响。 许多物种现在只存在于少数，有些只存在于 圈养和定量方法来维持 遗传变异性在评估 人口的未来。 这项研究还将产生一套计算机 处理、存储、访问和更新大型复杂 在一个有效的数据库结构的家谱。 这些 程序可以提供方便的数据管理结构， 许多涉及此类数据的人，无论他们 计算专业知识或目标。

In a small genetically isolated population, chance events of genealogy affect the genetic structure of the population, the number and variety of genes, and the pattern of similarity and difference between population subdivisions. Conversely, detailed patterns of genetic variation between individuals convey information about the recent genealogical history of the population, and thence about patterns of gene flow. The research proposed will develop methods to analyze effects of detailed genealogical structure upon gene survival, and for inference of genealogy from current genetic data. The latter question will be studied in a natural plant population. The methods developed will be applicable also to any other small natural animal or plant population, in which genetic data on individuals can be obtained but genealogical relationships cannot be precisely observed. The effects of genealogical structure on the number and variety of surviving genes in a small isolated population have implications for the genetic management of species isolates. Many species now exist only in small numbers and some only in captivity, and quantitative approaches to the maintenance of genetic variability can be of practical importance in assessing the future of a population. This research will also produce a package of computer programs to handle, store, access and update large complex genealogies within an efficient data base structure. These programs can provide a convenient data management structure for many persons involved in data of this type, whatever their computing expertise or objectives.