DISSERTATION RESEARCH: Towards a biologically relevant interpretation of the genetic covariance matrix: A theoretical and experimental exploration of the breeder's equation

论文研究：对遗传协方差矩阵进行生物学相关的解释：对育种方程的理论和实验探索

• 批准号: 0909760
• 负责人: Charles Goodnight
• 金额: $ 1.17万
• 依托单位: University of Vermont & State Agricultural College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-06-01 至 2010-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0909760&HistoricalAwards=false
• 关键词: DISSERTATION; RESEARCH; Towards; biologically; relevant

A major theoretical challenge is determining how natural selection acting within populations translates into the patterns of evolution seen at a larger scale. Specifically, there is no general understanding of how interactions among genes change as a result of processes such as natural selection and mutation. Developing the necessary theory and statistical tools to determine how these interactions shape evolution is crucial for predicting a population's capacity to adapt to climate change, and the ability of exotic species to invade new environments. This study develops a new statistical method (the "selection skewers" analysis) that identifies changes in the relationships among genetic components of traits that would significantly alter the predicted evolution of a population. The performance of this new statistical method will be compared to previous methods. In addition, using laboratory populations of red flour beetles (Tribolium castaneum) the method will be used to empirically determine when interactions among genes are stable over time, and thus when evolutionary change due to selection can be predicted accurately.The results will not only provide a needed statistical and conceptual framework for basic studies of evolutionary change, but will enable future studies examining the capacity for natural populations to adapt to climate change and the ability of exotic species to invade new environments. In addition, women and minority students will be trained in the field of quantitative genetics, an area where these groups are still underrepresented. The computer program to implement the selection skewers method will be made freely available on the web.

一个主要的理论挑战是确定种群中的自然选择如何转化为更大范围的进化模式。具体而言，由于自然选择和突变等过程，基因之间的相互作用如何变化没有一般的了解。开发必要的理论和统计工具来确定这些相互作用的发展对于预测人口适应气候变化的能力以及外来物种入侵新环境的能力至关重要。 这项研究开发了一种新的统计方法（“选择串串”分析），该方法识别特征的遗传成分之间的关​​系变化，这些变化将显着改变人群的预测演变。这种新的统计方法的性能将与以前的方法进行比较。此外，使用红粉甲虫（tribolium castaneum）的实验室人群将使用该方法来确定基因之间的相互作用何时会随着时间的推移而稳定，因此，可以准确地预测出选择的进化变化时，结果不仅将提供必要的统计和概念性的框架，还可以为未来的效果进行启动，以便将自然研究的适应性变化，以使自然效率的发展效果，以使其适应自然的效果，以使其适应自然的效果，以实现自然的填充，以实现自然的效果，以实现自然的效果，以实现出现的出现。环境。此外，将在定量遗传学领域接受培训妇女和少数族裔学生，这些领域的群体仍然不足。实现选择串联方法的计算机程序将在网络上自由使用。