New tools for sustainable control of liver fluke in ruminants
Lead Research Organisation:
University of Surrey
Department Name: Veterinary Medicine & Science
Abstract
Food producing animals are infected by multiple species of parasites, which severely compromise their health and productivity. The liver fluke Fasciola hepatica is amongst the most common and highly pathogenic parasites of cattle and sheep in many parts of the UK. Control of this parasite involves strategic treatment of ruminants with flukicides (drugs which kill flukes), guided by "fluke forecasts" which predict risk of liver fluke infection based on climate data. However, resistance is emerging to the most widely used flukicide, posing a severe threat to sustainable liver fluke control. Meanwhile, current fluke forecasts are based on old data and there is limited information available to validate new models, so new methods of tracking fluke populations are needed.
This PhD project aims to generate and use genomic data from liver fluke to develop a large panel of novel genetic markers for this parasite. These markers will be used to analyse seasonal variations in liver fluke population structure in sheep and cattle in different geographical locations in the UK, providing important insights into disease burden, infection transmission and the potential for emergence and spread of flukicide resistance. In addition, new "fluke forecasting" models will be developed and tested using data collected during the project, including parasite genetic data. This will enable better predictions of when and where liver fluke infection is likely to occur, leading to improved and sustainable control of this parasite, and ultimately better livestock health and productivity.
This PhD project aims to generate and use genomic data from liver fluke to develop a large panel of novel genetic markers for this parasite. These markers will be used to analyse seasonal variations in liver fluke population structure in sheep and cattle in different geographical locations in the UK, providing important insights into disease burden, infection transmission and the potential for emergence and spread of flukicide resistance. In addition, new "fluke forecasting" models will be developed and tested using data collected during the project, including parasite genetic data. This will enable better predictions of when and where liver fluke infection is likely to occur, leading to improved and sustainable control of this parasite, and ultimately better livestock health and productivity.
Organisations
People |
ORCID iD |
Martha Betson (Primary Supervisor) | |
Muhammad Abbas (Student) |
Studentship Projects
Project Reference | Relationship | Related To | Start | End | Student Name |
---|---|---|---|---|---|
BB/T008776/1 | 30/09/2020 | 29/09/2028 | |||
2753745 | Studentship | BB/T008776/1 | 30/09/2022 | 29/09/2026 | Muhammad Abbas |