A Study of Parasite-Host Coevolution

寄生虫-宿主协同进化的研究

• 批准号: 6793909
• 负责人: ERIC S BRUMER
• 金额: $ 1.76万
• 依托单位: HARVARD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-04-01 至 2004-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6793909
• 关键词: Ebola virus; bioinformatics; computational biology; evolution; gene mutation; host organism interaction; human immunodeficiency virus; mathematical model; parasite infection mechanism; parasitism; population genetics; postdoctoral investigator; symbiosis

DESCRIPTION (provided by applicant): Analytical and numerical techniques will be applied to the study of host-parasite coevolution. In particular, the quasispecies model of Eigen can be manipulated to provide a non-linear set of equations that can describe a wide variety of interacting species. By choosing the parameters of the model, these equations can describe various forms of parasitism, symbiotic commensalism and mutualism. The inclusion of experimental data in these choices should allow for a reasonable description of numerous important parasites, such as Ebola and HIV. Numerically, a set of simulations will be implemented to study the effects of the fitness landscape on evolutionary dynamics. As well, these simulations can be used to gauge the validity of the approximations inherent in our analytical model. Together, these form a complementary set of methods that can shed light on a variety of topics, including population genetics, evolution, drug design and the nature of diseases.

描述(由申请人提供)： 分析和数值技术将应用于宿主-寄生虫共同进化的研究。特别是，本征的准物种模型可以被操纵，以提供一组能够描述各种相互作用的物种的非线性方程。通过选择模型的参数，这些方程可以描述各种形式的寄生、共生和互惠共生。在这些选择中包括实验数据，应该能够合理地描述许多重要的寄生虫，如埃博拉和艾滋病毒。在数值上，将实施一组模拟来研究适应度环境对进化动力学的影响。此外，这些模拟可以用来衡量我们的分析模型中固有的近似的有效性。总而言之，这些方法形成了一套互补的方法，可以揭示各种主题，包括人口遗传学、进化、药物设计和疾病的性质。