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Active STUDENTSHIP UKRI Gateway to Research

23 and bee: Molecular medicine for early and effective diagnostics and monitoring of honeybee health


Funder Biotechnology and Biological Sciences Research Council
Recipient Organization Queen Mary University of London
Country United Kingdom
Start Date Sep 30, 2023
End Date Sep 29, 2027
Duration 1,460 days
Number of Grantees 2
Roles Student; Supervisor
Data Source UKRI Gateway to Research
Grant ID 2879918
Grant Description

Large-scale agriculture depends on insect pollination services valued at over £430 million annually in the UK: commercial pollination underpins the production of most major fruit and nut crops. Furthermore, insect pollinators ensure ecosystem stability, with 87% of flowering plants requiring pollination for reproduction. Honeybees provide most of this pollination. However, 15 to 40% of bee hives are lost every year.

This creates huge costs for beekeepers, and a major challenge for agroindustry. Diseases are the major culprit. Indeed, keeping colonies healthy and preventing pathogens infecting some colonies from spreading to others are ongoing challenges for large- and small-scale beekeepers. They thus regularly perform labour-intense check-ups of their hives - looking inside for characteristic symptoms of different diseases.

However, this is insufficient: visual diagnostics lack sensitivity or accuracy, or cannot identify multiple infections. Furthermore, treatments are difficult to dose or to monitor - they can worsen things.

Accurate early detection and monitoring of pathogens could significantly reduce the need for treatment, significantly reduce cross-infection, and thus significantly reduce colony losses.

Molecular medicine approaches that provide millions of measurements per sample - rather than the handful obtained through traditional approaches - have dramatically improved medical research and practise (Curtis et al 2014, Collins & Varmus 2015, Costello et al 2014). We aim to similarly harness such approaches to develop a new and sensitive approach for monitoring bee health.

We will develop and implement an approach that makes it possible for a beekeeper to post a bee for testing and rapidly obtain an overview of her molecular health. The resulting online "molecular health dashboard" for the bee will provide information including: Overviews of the pathogens and parasites (and their strains) present (e.g., Viruses, Nosema etc);

Overview of gut bacteria;

Overviews of physiological health based on comparison of the activity levels of 10,000 genes in 3 bee tissues to those of a broad sampling of healthy bees. This will indicate, for example, whether the bee is investing an abnormal amount of energy on immune- or detoxification functions.

We aim to provide a straightforward way of continuously monitoring colony health in a low-cost manner that requires little labour and that provides high-resolution insight on hive-health. This will provide a powerful tool for regular testing, replacing or directing traditional health evaluation approaches, making informed decisions regarding treatments and monitoring their efficacy.

All Grantees

Queen Mary University of London

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