Quantitative analytical tools for bee health (Apis mellifera) assessment

Background: The number of honeybee (Apis mellifera) colony losses has grown significantly in the past decade, endangering pollination of agricultural crops. Research indicates that no single factor is sufficient to explain colony losses and that a combination of stressors appears to impact hive health. Accurate evaluation of the different factors such as pathogen load, environmental conditions, nutrition and foraging is important to understanding colony loss. Commonly used colony assessment methods are subjective and imprecise making it difficult to compare bee hive parameters between studies. Finding robust, validated methods to assess bees and hive health has become a key area of focus for bee health and bee risk assessment.
Results: Our study focused on developing and implementing quantitative analytical tools that allowed us to investigate different factors contribution to colony loss. These validated methods include: adult bee and brood cell imaging and automated counting (IndiCounter, WSC Regexperts), cellular transmitting scales and weather monitoring (Phytech, ILS) and pathogen detection (QuantiGene® Plex 2.0 RNA assay platform from Affymetrix). These techniques enable accurate assessment of colony state.
Conclusion: A major challenge to date for bee health is to identify the events leading to colony loss. Our study describes validated molecular and computational tools to assess colony health that can prospectively describe the etiology of potential diseases and in some cases identify the cause leading to colony collapse.