Creating new stochastic models to understand the evolution of gene families

创建新的随机模型来了解基因家族的进化

• 批准号: DP180100352
• 负责人: Prof Barbara Holland
• 金额: $ 22.18万
• 依托单位: University of Tasmania
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2018
• 资助国家: 澳大利亚
• 起止时间: 2018-07-01 至 2023-09-17
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP180100352
• 关键词: Creating; new; stochastic; models; understand

This project aims to extend stochastic modelling techniques in order to develop mathematically rigorous and biologically relevant models for the evolution of gene families. The project expects to model evolutionary processes such as gene retention, duplication and loss, and the generation of new gene functions. The duplication and subsequent re-purposing of genes is thought to be a key mechanism for generating evolutionary novelty. By applying these models to genome data, the project expects to be able to quantify the importance of these different evolutionary mechanisms. The project will strengthen collaborative links between researchers in stochastic modelling and molecular evolutionary biology.

该项目旨在扩展随机建模技术，以便为基因家族的进化开发数学上严格和生物学上相关的模型。该项目预计将模拟进化过程，如基因保留，复制和丢失，以及新基因功能的产生。基因的复制和随后的再利用被认为是产生进化新奇的关键机制。通过将这些模型应用于基因组数据，该项目预计能够量化这些不同进化机制的重要性。该项目将加强随机建模和分子进化生物学研究人员之间的合作联系。