Population genomic methods for modelling bacterial pathogen evolution

该项目旨在开发新的技术来模拟细菌基因组的进化，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。大肠杆菌进化。该项目预计将产生关于水平基因转移如何塑造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。预期成果包括在方法上取得进展，从而能够分析大量当代数据集。这些方法和由此产生的分析将提供显著的益处，包括为设计上级长期干预措施提供信息，以减少农业和健康中对细菌进化具有鲁棒性的细菌疾病。

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.