Using Exposomics to Improve Honey Bee Health: A New Approach for Solving a Complex Multifactorial Problem
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Owner/Developer: Agilent Technologies
United States of America
28 September 2017
United States of America
|Description:||Honey bees are an integral part of the global agricultural economy as they pollinate roughly one third of the food we eat every day. Their pollination services are essential for producing quality, plentiful, nutritious food, all of which has direct implications for food safety, security, and providing a healthy diet. Within the past decade, bee health has been in decline, and a multitude of environmental stressors including parasites, pesticide exposure, and loss of foraging habitat have been associated with this observation. Therefore, a more holistic approach is needed to pinpoint the causes of bee health decline. Exposomics can be defined as capturing the life-course of environmental exposures (including lifestyle factors) from the prenatal period onwards. These exposures include dietary chemicals, pesticides, persistent air pollutants, metabolites, and many other chemical classes. External exposures can be associated with internal metabolomic changes within an individual, both of which can be captured using the exposmoic paradigm.|
Optional / Voluntary
1 h 11 min
Students, Researchers, Regulators and policy-makers, Teachers and educators, Technicians, Managers, Scientific officers / Project managers, Professionals (e.g. veterinarians), General public
Academia, Industry, Governmental bodies, Contract Research Organizations (CROs), Consulting, SMEs
Continuing Professional Development
Computational methods, In vitro methods
Full coverage (a dedicated course)
Cephalopods (Cephalopoda), Other species
|Details on the topic or technology covered:||
We will demonstrate how using a systems biology approach by integrating exposomic, genomic, metabolomic, and bioinformatic KEGG pathway analyses can be used to identify chemical biomarkers of disease and novel interactions of stressors that more accurately predict colonies collapsing in the future. Mechanistically, this paradigm sheds light on how multiple internal and external stressors may be interacting at different points along the same highly conserved biological pathways to produce an unhealthy bee phenotype. Lastly, we will discuss how this knowledge can be translated to produce a product that beekeepers can use to passively and comprehensively monitor bee health on regular basis.
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