Modelling Systems for Managing Bee Disease: The Epidermiology of European Foul Brood

Project: Research council

Project Details

Description

This project will provide a step-change in our understanding of managed pollinator disease. We will use a combined modelling and molecular approach to investigate the dynamics of European Foul Brood (EFB) as an exemplar of endemic brood disease of honey bee colonies using historic data derived from long-term monitoring of apiaries in England and Wales. We will utilise a program of statistical, analytical and spatially explicit modelling to address the problem. Statistical modelling approaches will be used to identify putative covariates involved in the epidemiology of disease (e.g. land use, weather, management practices) (Newcastle); analytical modelling approaches will be used to investigate the role of transmission processes in determining the epidemiology of disease (Warwick & Bath); and spatially explicit models to investigate spatial spread of disease in the context of investigating the efficacy of different practical control measures (Warwick & Newcastle). The modelling will be parameterised using historic datasets which include the timing and reported incidence of EFB distribution in honey bee apiaries across England and Wales (Fera). Molecular approaches based on microsatellite markers and comparative genomics will be employed to characterise host and parasite diversity (Fera & Bath) for use as additional covariates in the statistical, analytical and spatially explicit models exploring the epidemiology of EFB in relation to host resistance. These data will be used for the testing and validation of the theoretical and spatially explicit models. We (Fera & Bath) have, in collaboration with the Sanger centre in Cambridge, already generated a draft genome sequence for M. plutonius. These data will greatly facilitate the identification of suitable markers for the characterisation of large and representative population samples and will also shed light on the genes responsible for virulence, and how pathogenesis proceeds in the bee host. EFB will provide a paradigm which we can test against other pollinator diseases. For example, developed models will be used to investigate the epidemiology of 14 honey bee diseases collected across 5000 apiaries as part of an ongoing Defra funded monitoring programme (Fera). Dissemination of project results is explicit within the project framework and includes, the production of a list of key end-users, stakeholder workshops, bi-annual project newsletters, reporting in industry literature, a disease management summary document and conference attendance. The modelling analytical and spatially explicit models developed within this project will act as tools to guide strategy in the face of a plethora of disease threats for managed and wild pollinators.
StatusFinished
Effective start/end date1/11/1031/10/13

Funding

  • Biotechnology and Biological Sciences Research Council

Fingerprint Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.

  • Research Output

    Alternative splice in alternative lice

    Tovar-Corona, J. M., Castillo-Morales, A., Chen, L., Olds, B. P., Clark, J. M., Reynolds, S. E., Pittendrigh, B. R., Feil, E. J. & Urrutia, A. O., 1 Oct 2015, In : Molecular Biology and Evolution. 32, 10, p. 2749-2759 11 p.

    Research output: Contribution to journalArticle

    Open Access
  • 9 Citations (Scopus)

    Sex-specific effects of protein and carbohydrate intake on reproduction but not lifespan in Drosophila melanogaster

    Jensen, K., Mcclure, C., Priest, N. & Hunt, J., 14 Jul 2015, In : Aging Cell. 14, 4, p. 605-615 11 p.

    Research output: Contribution to journalArticle

    Open Access
  • 82 Citations (Scopus)
    53 Downloads (Pure)

    Hormesis results in trade-offs with immunity

    McClure, C. D., Zhong, W., Hunt, V. L., Chapman, F. M., Hill, F. V. & Priest, N. K., Aug 2014, In : Evolution. 68, 8, p. 2225-2233

    Research output: Contribution to journalArticle

    Open Access
    File
  • 25 Citations (Scopus)
    123 Downloads (Pure)