Proposal of the ICPBR Bee Brood Group for testing and assessing potential side effects from the use of plant protection products on honey bee brood

contribution to session I Regulatory issue

Managed honey bee colony losses in Canada, China, Europe, Israel and Turkey, for the winters of 2008-9 and 1009-10

In 2008 the COLOSS network was formed by honey bee experts from Europe and the USA. The primary objectives set by this scientific network were to explain and to prevent large scale losses of honey bee (Apis mellifera) colonies. In June 2008 COLOSS obtained four years support from the European Union from COST and was designated as COST Action FA0803 – COLOSS (Prevention of honey bee COlony LOSSes). To enable the comparison of loss data between participating countries, a standardized COLOSS questionnaire was developed. Using this questionnaire information on honey bee losses has been collected over two years. Survey data presented in this study were gathered in 2009 from 12 countries and in 2010 from 24 countries. Mean honey bee losses in Europe varied widely, between 7-22% over the 2008-9 winter and between 7-30% over the 2009-10 winter. An important finding is that for all countries which participated in 2008-9, winter losses in 2009-10 were found to be substantially higher. In 2009-10, winter losses in South East Europe were at such a low level that the factors causing the losses in other parts of Europe were absent, or at a level which did not affect colony survival. The five provinces of China, which were included in 2009-10, showed very low mean (4%) A. mellifera winter losses. In six Canadian provinces, mean winter losses in 2010 varied between 16-25%, losses in Nova Scotia (40%) being exceptionally high. In most countries and in both monitoring years, hobbyist beekeepers (1-50 colonies) experienced higher losses than practitioners with intermediate beekeeping operations (51-500 colonies). This relationship between scale of beekeeping and extent of losses effect was also observed in 2009-10, but was less pronounced. In Belgium, Italy, the Netherlands and Poland, 2008-9 mean winter losses for beekeepers who reported ‘disappeared’ colonies were significantly higher compared to mean winter losses of beekeepers who did not report ‘disappeared’ colonies. Mean 2008-9 winter losses for those beekeepers in the Netherlands who reported symptoms similar to “Colony Collapse Disorder” (CCD), namely: 1. no dead bees in or surrounding the hive while; 2. capped brood was present, were significantly higher than mean winter losses for those beekeepers who reported ‘disappeared’ colonies without the presence of capped brood in the empty hives. In the winter of 2009-10 in the majority of participating countries, beekeepers who reported ‘disappeared’ colonies experienced higher winter losses compared with beekeepers, who experienced winter losses but did not report ‘disappeared’ colonies

Standard survey methods for estimating colony losses and explanatory risk factors in Apis mellifera

This chapter addresses survey methodology and questionnaire design for the collection of data pertaining to estimation of honey bee colony loss rates and identification of risk factors for colony loss. Sources of error in surveys are described. Advantages and disadvantages of different random and non-random sampling strategies and different modes of data collection are presented to enable the researcher to make an informed choice. We discuss survey and questionnaire methodology in some detail, for the purpose of raising awareness of issues to be considered during the survey design stage in order to minimise error and bias in the results. Aspects of survey design are illustrated using surveys in Scotland. Part of a standardized questionnaire is given as a further example, developed by the COLOSS working group for Monitoring and Diagnosis. Approaches to data analysis are described, focussing on estimation of loss rates. Dutch monitoring data from 2012 were used for an example of a statistical analysis with the public domain R software. We demonstrate the estimation of the overall proportion of losses and corresponding confidence interval using a quasi-binomial model to account for extra-binomial variation. We also illustrate generalized linear model fitting when incorporating a single risk factor, and derivation of relevant confidence intervals

Métodos para la investigación de la loque americana

American foulbrood is one of the most devastating diseases of the honey bee. It is caused by the spore-forming, Gram-positive rod-shaped bacterium Paenibacillus larvae. The recent updated genome assembly and annotation for this pathogen now permits in-depth molecular studies. In this paper, selected techniques and protocols for American foulbrood research are provided, mostly in a recipe-like format that permits easy implementation in the laboratory. Topics covered include: working with Paenibacillus larvae, basic microbiological techniques, experimental infection, and “’omics” and other sophisticated techniques. Further, this chapter covers other technical information including biosafety measures to guarantee the safe handling of this pathogen.La loque americana es una de las enfermedades más devastadoras de la abeja melífera, causada por el bacilo, formador de esporas Grampositivo Paenibacillus larvae. El reciente ensamblaje y anotación del genoma de este patógeno permite actualmente la realización de profundos estudios moleculares. En este trabajo, se proporcionan técnicas y protocolos seleccionados para la investigación de la loque americana, principalmente bajo la forma de protocolos de trabajo con una estructura similar al de las recetas, para facilitar su implementación en el laboratorio. Los temas desarrollados incluyen: el trabajo con Paenibacillus larvae, técnicas básicas microbiológicas, la infección experimental, y "'ómicas" y otras técnicas sofisticadas. Además, este capítulo abarca otro tipo de información técnica, incluyendo medidas de bioseguridad para garantizar la seguridad en el manejo de este patógeno.Trabajo publicado en Dietemann, V.; Ellis, J. D.; Neumann, P. (eds.) The Coloss Beebook, Volume II: standard methods for Apis mellifera pest and pathogen research. Journal of Apicultural Research, 52(1).Facultad de Ciencias Agrarias y Forestale

A DNA method for screening hive debris for the presence of small hive beetle (Aethina tumida)

The small hive beetle (SHB) is a parasite and scavenger of honey bee colonies. It has recently become an invasive species creating the need for an efficient and reliable detection method. We present a method to screen hive debris for the presence of SHB using real-time PCR in conjunction with an automated DNA extraction protocol. The method was able to detect DNA from SHB eggs, larvae and adult specimens collected from Africa, Australia and North America. The method was used to successfully detect SHB DNA extracted from spiked and naturally infested debris. An Apis mellifera 18S rRNA real-time PCR assay was used as an internal positive control (IPC). The IPC showed that the method was reliable for detection as extraction efficiency was consistent between hive debris samples. If the SHB were to establish at new locations, the availability of such a method would be a valuable support tool to enable species identification and rapid screening of hive debris for delimiting surveys

Study of the depletion of tylosin residues in honey extracted from treated honeybee (Apis mellifera) colonies and the effect of the shook swarm procedure

Bee colonies were dosed with tylosin tartrate 1.1 g per hive (single dose in sucrose solution) and samples of honey were then collected at intervals over a 20-week period. The samples were analysed for tylosin A and desmycosin (tylosin B) using LC-MS/MS. The mean concentration of tylosin A in the honey (pooled results) 3 days after dosing was 17 $\mu$g/g, declining to 0.9 $\mu$g/g after 140 days. The mean concentration of desmycosin was 2.3 $\mu$g/g, 3 days after dosing declining to 1.1 $\mu$g/g after 140 days. The shook swarm procedure was investigated and resulted in a tylosin A concentration in brood honey of 10 $\mu$g/g, 3 days after dosing declining to 0.02 $\mu$g/g, 140 days after dosing. A corresponding decrease in the mean concentrations of desmycosin in brood honey, 1.1 $\mu$g/g, 3 days after dosing to 0.03 $\mu$g/g, 140 days after dosing also was observed. Tylosin A depletes to desmycosin in honey and can still be detected 238 days after dosing. Thus a more accurate residue definition is the sum of tylosin A and desmycosin