Collaborative Research: Genetic Structure of a Longleaf Pine Population

Hamrick和Platt建议整合一个详细的生态 长叶松（Pinus）老林分分析 palustris），同样详细地描述了其遗传 结构 淀粉凝胶电泳将用于鉴定 几个酶基因，可用作遗传标记，在 研究这个人口。 一旦基因的排列 变化已经描述，哈姆里克和普拉特将使用这些 遗传标记来研究这些群体参数， 相互作用以产生所观察到的遗传模式。 通过应用 一种通常被称为亲子鉴定的分析技术 排除分析，他们将测量花粉和种子的运动 在六个局部区域内。 他们还将使用遗传标记 协助鉴定幼苗的父母， 取样。 这些信息将用于确定是否 死亡率和存活率都有遗传因素。 于 成功完成他们的研究，哈姆里克和普拉特将 产生相互作用的因素的详细描述， 形成人口的遗传和生态组成。 这项研究有几个应用方面。 基因研究 花粉和种子的运动将提供关于 一个有效的繁殖单位。 这些信息会很有价值 建立生态保护区。 二是数据 从这个天然的古老的林分中获得的，可以与 类似的数据来自第二次生长的林分， 以不同的方式管理。 这将使森林管理者 了解他们的管理实践如何影响遗传 长叶松林的组成。

Hamrick and Platt propose to integrate a detailed ecological analysis of an old growth stand of longleaf pine (Pinus palustris) with an equally detailed description of its genetic structure. Starch gel electrophoresis will be used to identify several enzyme genes which can be used as genetic markers in the study of this population. Once the arrangement of genetic variation has been described, Hamrick and Platt will use these genetic markers to study those population parameters that interact to produce the genetic patterns observed. By applying an analytical technique commonly referred to as paternity exclusion analysis, they will measure pollen and seed movement within six localized areas. They will also use genetic markers to assist in the identification of the parents of seedlings and samplings. This information will be used to determine whether there is a genetic component to mortality and survival. Upon the successful completion of their research, Hamrick and Platt will produce a detailed description of the factors which interact to shape the genetic and ecological composition of the population. This research has several applied aspects. Studies of gene movement by pollen and seeds will provide insights into the size of an effective breeding unit. This information will be valuable for the establishment of ecological preserves. Second, data obtained from this natural old-growth stand can be compared to similar data taken from second growth stands which have been managed in different ways. This will allow foresters to understand how their management practices impact the genetic composition of longleaf pine stands.