Big data analysis to identify innovative solutions for combating respiratory disease and reducing antimicrobial use in beef cattle
Prof Luca Guardabassi (RVC), Dr Richard Stabler (LSHTM), Dr Muna Anjum (APHA) and Prof Debby Bogaert (University of Edinburgh - £32,000
1 October 2019 to 31 March 2021 (Data Grant BSA27)
Objective: to investigate whether calves that get pneumonia have a different lung microbiome before the disease event, and how this information can be used for early disease detection and prevention. Specifically:
- Identify lung microbiome profiles associated with increased growth performance and reduced occurrence of bovine respiratory disease (BRD) that can be used as diagnostic markers for early detection of BRD and/or animals predisposed to BRD.
- Exploit this new knowledge to develop alternatives to antibiotics for BRD prevention based on modulation of the respiratory microbiota or selection of BRD-resistant cattle lineages.