Population genomic methods for modelling bacterial pathogen evolution

用于模拟细菌病原体进化的群体基因组方法

• 批准号: DE240100316
• 负责人: Dr Gerry Tonkin-Hill
• 金额: $ 30.1万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Early Career Researcher Award
• 财政年份: 2024
• 资助国家: 澳大利亚
• 起止时间: 2024-01-01 至 2026-12-31
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DE240100316
• 关键词: Population; genomic; methods; modelling; bacterial

This project aims to develop novel techniques to model bacterial genome evolution and improve our understanding of how major agricultural and human pathogens, including Enterococcus, Salmonella and E. coli, evolve. The project expects to generate new knowledge about how horizontal gene transfer shapes the evolution of bacteria and how these dynamics vary over different temporal scales. Expected outcomes include methodological advances that will enable the analysis of massive contemporary datasets. These methods and resulting analyses will provide significant benefits including informing the design of superior long-term interventions to reduce bacterial disease in both agriculture and health that are robust to the evolution of bacteria.

该项目旨在开发新技术来模拟细菌基因组进化，并提高我们对主要农业和人类病原体（包括肠球菌、沙门氏菌和大肠杆菌）如何进化的理解。该项目期望产生关于水平基因转移如何影响细菌进化以及这些动态如何在不同时间尺度上变化的新知识。预期成果包括方法论的进步，这将使分析大量当代数据集成为可能。这些方法和由此产生的分析将提供显着的好处，包括为设计卓越的长期干预措施提供信息，以减少农业和健康领域的细菌性疾病，这些措施对细菌的进化具有鲁棒性。