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.

该项目旨在开发新的技术来模拟细菌基因组进化，并提高我们对包括肠球菌，沙门氏菌和大肠杆菌在内的主要农业和人类病原体的理解。该项目预计将产生有关水平基因转移如何塑造细菌演变以及这些动力学在不同时间尺度上的变化的新知识。预期的结果包括方法上的进步，将能够分析大规模的当代数据集。这些方法和结果分析将带来重大的好处，包括告知高级长期干预措施以减少农业和健康中细菌疾病的设计，这些疾病对细菌的进化是可靠的。