Collaborative Research: A Simulation Approach To The Evolution of The G-Matrix

协作研究：G 矩阵演化的模拟方法

• 批准号: 0447854
• 负责人: Stevan Arnold
• 金额: $ 3.85万
• 依托单位: Oregon State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-04-15 至 2009-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0447854&HistoricalAwards=false
• 关键词: Collaborative; Research; Simulation; Approach; Evolution

In this project, three investigators will collaborate on computer simulation studies of G-matrix stability and evolution. The G-matrix is a statistical description of ghe pattern of genetic variances and covariances among quantitative traits. It is the central concept of inheritance in theoretical models for the evolution of characters that are affected by many genes. Many important characters are in this category (e.g., body size, intelligence, susceptibility to some kinds of disease). Consequently the stability and evolution of the G-matrix are important issues because they affect our ability to predict how such characteristics evolve. One aim is to determine how randomly varying selective pressures affect G-matrix stability. Another aim is to determine how details of genetic architecture (mutation, linkage, dominance, and epistasis) affect both the stability and evolution of the G-matrix. The overarching goal is to determine the conditions under which the G-matrix is likely to be stable or unstable, with a focus on selection regimes that are likely to prevail in nature. In the course of this project we will train graduate and postdoctoral students by including them in our planning and writing sessions. We will also build a website that will enable students, teachers and researchers to run simulations of G-matrix fluctuation and evolution.

在这个项目中，三名研究人员将合作进行G矩阵稳定性和演化的计算机模拟研究。G矩阵是数量性状间遗传方差和协方差模式的统计描述。在受许多基因影响的性状进化的理论模型中，它是遗传的核心概念。许多重要的特征都属于这一类(例如，体型、智力、对某些疾病的易感性)。因此，G矩阵的稳定性和演化是重要的问题，因为它们影响我们预测这些特征如何演变的能力。一个目的是确定随机变化的选择压力如何影响G矩阵的稳定性。另一个目的是确定遗传结构的细节(突变、连锁、显性和上位性)如何影响G-矩阵的稳定性和进化。首要目标是确定G矩阵可能稳定或不稳定的条件，重点放在可能在自然界占上风的选择制度上。在这个项目的过程中，我们将通过将他们纳入我们的计划和写作课程来培训研究生和博士后。我们还将建立一个网站，使学生、教师和研究人员能够运行G矩阵波动和演化的模拟。