Phenotypic, Genotypic, and Ecological Determinants of Reproductive Success in Natural Populations

任何种群的遗传历史和当前结构 可以用家谱来表示。 家谱 分析已成为越来越重要的组成部分， 自然界中交配行为和遗传扩散的研究 种群和圈养动物生殖管理 不同基因型的表现，在检查的影响， 父母的印记觅食行为，或在测量 亲属间相互作用对包容适应度的影响 个人。 迄今为止，大多数此类努力都有母亲的血统 通过叶绿体和线粒体基因组， 忽略了父系血统，这是整体的一个重要组成部分， 血统 调查人员已经开发出一种替代方案 使用核标记进行统计推断的方法 关于母系和父系血统。 他们的策略是 使用足够的遗传标记来排除除了一个之外的所有基因， 照顾每一个孩子。 然而，以前的研究表明， 多态性标记的数量来确定亲子关系 每一个孩子都是如此。 严格 亲子关系评估问题的排除性解决方案是 在许多有趣的应用中无法实现。 客观 是开发统计/遗传估计程序，然后 用它们来分析男性的生殖贡献， 黄玉簪和白蝇子草。 更有趣的是， 亲本谱是表型的、基因型的和生态的 生殖贡献的决定因素。 调查人员 将开发统计方法来阐明这些因素。

The genetic history and current structure of any population can be represented in terms of its genealogy. Genealogical analysis has become an increasingly important component of studies of mating behavior and genetic dispersal in natural populations and in the management of captive animal reproductive performance of different genotypes, in examining the impact of parental imprinting on foraging behavior, or in measuring the effects of interactions among relatives on the inclusive fitness of individuals. Most such efforts to date have maternal descent through chloroplast and mitochondria genomes, an approach that ignores paternal descent, a substantial part of the overall pedigree. The investigators have developed an alternative approach that uses nuclear markers to make statistical inferences about both maternal and paternal lineages. Their strategy is to employ enough genetic markers to exclude all but one make from consideration for each offspring. Previous work has shown, however, that a very large number of polymorphic markers is required to assign paternity categorically for each and every offspring. A strictly exclusionary solution to the problem of parentage assessment is not attainable in many interesting applications. The objective is to develop statistical/genetic estimation procedures and then to use them to analyze male reproductive contributions for Chamaelirium luteum and Silene alba. More interesting than the parentage spectrum are the phenotypic, genotypic, and ecological determinants of reproductive contributions. The investigators will develop statistical methods to elucidate such factors.