About the Project
While they cause considerable physical damage to buildings and utilities, they pose even more serious risks to public health by spreading disease. They are known to carry a wide range of pathogens including many species of bacteria, viruses, protozoa and helminths. In addition, a number of recent studies have found that rodents harbour significant antimicrobial resistance (AMR) bacteria including multidrug-resistance Enterobacteriaceae and methicillin-resistance Staphylococcus spp. To exacerbate the problem further, surveillance work undertaken by the members of our supervisory team in 2019 revealed that 93% and 61% of house mice and rats carry at least one rodenticide resistance gene respectively - among rats, nearly half have inherited the gene from both parents, the most severe form of resistance.
Despite these known and emerging threats, the role of rodents as reservoirs and/or vectors of pathogen AMR as well as the extent of their resistance to rodenticide is still poorly understood.
Through this PhD programme, we propose to understand the variation in the distributions and dispersal dynamics of rodent-borne pathogens, AMR and rodenticide resistance in urban, suburban and rural settings utilising modern techniques and technologies.
A central novel theme to this project is the application of cutting-edge molecular techniques and bioinformatics to rapidly identify pathogens, AMR and rodenticide resistance in single samples. A key concept underpinning this project is the use of faecal samples to screen rodents for pathogen-load, presence of AMR and host rodenticide resistance.
An important and unique aspect of our project is our UK-wide sampling of rodent faecal samples from the existing network of collaborating pest controllers coordinated by Action Groups including Rodenticide Resistance Action Committee (RRAC) and the Campaign for Responsible Rodenticide Use (CRRU) with whom our Supervisory Team has direct links.
Access to a large number of samples from around the UK and a variety of different ecological niches, combined with the novel high through put molecular analysis, will permit for the first time a thorough analysis of any correlation of rodent niche with pathogen and AMR carriage and also rodenticide resistance.
You will receive practical training in molecular techniques, cutting-edge sequencing technology and in-depth bioinformatics knowledge and expertise from the supervisory team who have developed world-class informatic tools for analysing next generation sequencing data. Notably, through Killgerm (our CASE partner), you will develop practical experience of field work which will include inspecting for signs of rodent activity and knowledge of the impact of anticoagulant rodenticide resistance on product choice and resistance management. You will also have access to Killgerm’s team of biologists and develop transferable skills such as report-writing, presenting, communicating, article-writing and problem-solving as well as the use of social media and podcasting for engagement with stakeholders. There will be opportunities to attend training in Campaign for Responsible Rodenticide Use UK (CRRU) approved training and certification.
Applicants should hold or expect to gain a minimum of a 2:1 Bachelor Degree, Masters Degree with Merit, or equivalent in biology, microbiology, ecology, or zoology. We would like a student who is enthusiastic and keen to learn new skills in the field, lab and bioinformatics. The candidate will be working closely with non-scientists therefore must have good interpersonal skills, and be able to clearly convey their work to others. The candidate would also be expected to work conscientiously and independently both in the laboratory and field.
To apply, please follow the instructions at https://research.reading.ac.uk/scenario/apply/
The project has CASE funding from Killgerm Chemicals Ltd.
Due to UKRI rules, the DTP can only fund a very limited number of international students. We will only consider applications from international students with an outstanding academic background placing them in the top 10% of their cohort.
• Jones et al., 2019, Anticoagulant Resistance in Rats and Mice in the UK – Summary Report with new data for 2019
• Gweon et al., 2019, The impact of sequencing depth on the inferred taxonomic composition and AMR gene content of metagenomic samples
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