An international inter-laboratory study on Nosema spp. spore detection and quantification through microscopic examination of crushed honey bee abdomens.

Nosemosis is a microsporidian disease causing mortality and weakening of honey bee colonies, especially in the event of co-exposure to other sources of stress. As a result, the disease is regulated in some countries. Reliable and harmonised diagnosis is crucial to ensure the quality of surveillance and research results. For this reason, the first European Interlaboratory Comparison (ILC) was organised in 2017 in order to assess both the methods and the results obtained by National Reference Laboratories (NRLs) in counting Nosema spp. spores by microscopy. Implementing their own routine conditions of analysis, the 23 participants were asked to perform an assay on a panel of ten positive and negative samples of crushed honey bee abdomens. They were asked to report results from a qualitative and quantitative standpoint. The assessment covered specificity, sensitivity, trueness and precision. Quantitative results were analysed in compliance with international standards NF ISO 13528 (2015) and NF ISO 5725-2 (1994). Three results showed a lack of precision and five a lack of trueness. However, overall results indicated a global specificity of 98% and a global sensitivity of 100%, thus demonstrating the advanced performance of the microscopic methods applied to Nosema spores by the NRLs. Therefore, the study concluded that using microscopy to detect and quantify spores of Nosema spp. was reliable and valid.

Using whole genome sequencing to study American foulbrood epidemiology in honeybees.

American foulbrood (AFB), caused by Paenibacillus larvae, is a devastating disease in honeybees. In most countries, the disease is controlled through compulsory burning of symptomatic colonies causing major economic losses in apiculture. The pathogen is endemic to honeybees world-wide and is readily transmitted via the movement of hive equipment or bees. Molecular epidemiology of AFB currently largely relies on placing isolates in one of four ERIC-genotypes. However, a more powerful alternative is multi-locus sequence typing (MLST) using whole-genome sequencing (WGS), which allows for high-resolution studies of disease outbreaks. To evaluate WGS as a tool for AFB-epidemiology, we applied core genome MLST (cgMLST) on isolates from a recent outbreak of AFB in Sweden. The high resolution of the cgMLST allowed different bacterial clones involved in the disease outbreak to be identified and to trace the source of infection. The source was found to be a beekeeper who had sold bees to two other beekeepers, proving the epidemiological link between them. No such conclusion could have been made using conventional MLST or ERIC-typing. This is the first time that WGS has been used to study the epidemiology of AFB. The results show that the technique is very powerful for high-resolution tracing of AFB-outbreaks.

Rapid identification of differentially virulent genotypes of Paenibacillus larvae, the causative organism of American foulbrood of honey bees, by whole cell MALDI-TOF mass spectrometry.

Infection with Paenibacillus larvae, the etiological agent of American foulbrood, is lethal for honey bee larvae and may lead to loss of the entire colony. Of the four known ERIC-genotypes of P. larvae, ERIC I and II are most frequently observed and differ significantly in virulence. The course of the disease on the larval level is more accelerated after infection with genotype II strains allowing nurse bees to remove diseased larvae more efficiently before capping. For this reason the lead clinical symptom, conversion of capped larvae into 'ropy mass', is less frequently found than after infection with ERIC I strains bearing the risk of false negative diagnosis. In this study, the potential of matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry (MALDI-TOF MS) for the discrimination of P. larvae genotypes ERIC I and II was explored on the basis of a comprehensive set of isolates. Using commercial software and a reference database constructed from field and type strains, ERIC I and II genotypes of all field isolates could be unambiguously identified on basis of mass spectra. Statistical analysis showed that the genotype is the main determinant for the spectral phenotype and MS-based ERIC-type determination is robust against sample selection. Furthermore, analysis of samples from Canada and New Zealand showed that distribution of ERIC II is not restricted to Europe as previously assumed. We suggest adding ERIC I and II genotype isolates as type-specific reference spectra for use in routine diagnostics.