The evolution of multidrug resistance in the bacterial pathogen Streptococcus suis

我博士学位的目的是开发体外和计算机定量工具，利用经济上重要的人畜共患病原体猪链球菌来研究致病菌的多药耐药性。该项目将有助于减少抗菌素耐药性，改善农业系统中的病原体管理战略，从而惠及全球粮食安全。为了实现这个目标，这个项目有三个目标，每一个目标都将构成我博士论文研究章节的基础：1。确定瑞士链球菌致病性和基因组大小的差异与突变率和突变的适应度效应分布之间的关系。开发多药耐药（MDR）表型大范围趋势的可视化和量化方法，以更好地了解驱动猪链球菌基因型时空分布的进化力量。建立宿主内进化的数学模型，研究影响菌株获得抗菌素耐药性等位基因概率的因素。

The aim of my PhD is to develop quantitative tools in vitro and in silico to investigate multidrug resistance in pathogenic bacteria, using the economically important zoonotic pathogen Streptococcus suis. This project will help mitigate antimicrobial resistance (AMR) and improve pathogen management strategies in agricultural systems with global benefits to food security. To deliver this aim, this project has three objectives, each of which will form the basis for a research chapter in my PhD thesis:1. Determine how differences in pathogenicity and genome size associate with mutation rates and the distribution of fitness effects of mutation in Streptococcus suis.2. Develop methods for visualising and quantifying broad-scale trends in multi-drug resistance (MDR) phenotypes, to gain better insight into the evolutionary forces driving the spatiotemporal distribution of Streptococcus suis genotypes.3. Develop a mathematical model of within-host evolution to study factors which affect the probability of isolates gaining AMR alleles.