Maternal Effects and the host-pathogen-microbiome interactions in disease vectors.

该项目的一般领域是病媒生物学和进化生态学。该项目的目标是开发和分析昆虫宿主内原生微生物组和病原体相互作用的数学模型（例如动力系统模型），以及这些相互作用的跨代影响。模型预测将在实验室实验中进行测试，使用胎生采采蝇和卵生蚊子作为模型系统。本研究的目的是更好地了解昆虫和微生物共生体之间的关系，从而预测昆虫微生物组的扰动如何影响媒介能力以及后代的媒介能力。这些预测可能有助于开发减少病媒种群规模或病原体传播的新方法。该项目将在布里斯托大学和麦考瑞大学联合进行，由Sinead English博士和Fleur Ponton博士监督，并与Mike邦索尔教授（牛津大学数学生态学研究小组）合作。该项目福尔斯EPSRC数学生物学（数学科学）研究领域。

The general field of the project is disease vector biology and evolutionary ecology. The objectives of the project are to develop and analyse mathematical models (e.g. dynamical systems models) for native microbiome and pathogen interactions within insect hosts, and the transgenerational effects of these interactions. The model predictions will then be tested in laboratory experiments, using viviparous tsetse flies and oviparous mosquitoes as model systems. The purpose of this research is to gain a better understanding of the relationships between insects and microbial symbionts, allowing predictions to be made of how perturbations in insect microbiomes could impact vectoral capacity, and the vectoral capacity of subsequent generations. These predictions could allow for the development of novel methods of reducing vector population sizes or pathogen transmission. The project will take place jointly at University of Bristol and Macquarie University, under the supervision of Dr Sinead English and Dr Fleur Ponton, and in collaboration with Professor Mike Bonsall (Mathematical Ecology Research Group, University of Oxford).This project falls within the EPSRC Mathematical Biology (Mathematical Sciences) research area.