25 research outputs found
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
Queen rearing and selection practices and their impact on the genetic diversity and fitness of honey bee colonies
The Apimondia working group on honey bee diversity and fitness (AWG 7) was created on October 25, 2010 as a Scientific Working Group of Apimondia. The aim of this AWG is to collect information on honey bee queen rearing practices, and examine their impact on the genetic variability and general health of honey bee colonies. The AWG consists of 23 members from 16 different countries. The world wide survey being conducted by this AWG is focused on gathering information on how selection methods, instrumental insemination, disease management procedures, introduction of exotic bee lines, queen replacement strategies, and loss of local colony populations due to introduced parasites and pathogens, affect the ability of our bees to survive and reproduce. The information collected will contribute on an international level to our understanding of how apiculture practices affect honey bee genetics, health and productivity
GENETIC CONSEQUENCES OF LINKAGE BETWEEN MALATHION RESISTANCE AND AN AUTOSOMAL MALE-DETERMINING FACTOR IN HOUSE-FLY (DIPTERA, MUSCIDAE)
The pattern of inheritance of genes conferring resistance to malathion and genetic consequences of linkage between an autosomal male-determining factor and resistance genes on the second chromosome were investigated in a strain of house fly, Musca domestica L., selected for malathion resistance. The second and fifth chromosomes contribute significantly to malathion resistance. The presence of a male-determining factor linked with the resistance genes on the second chromosome resulted in a strong sexual dimorphism in malathion resistance. We also observed that the male-determining factor changed its linkage relationship from the third linkage group to the second linkage group during the selection experiments
CONTROL OF INSECTICIDE RESISTANCE IN LABORATORY POPULATIONS OF HOUSE-FLY (DIPTERA, MUSCIDAE) BY INTRODUCTION OF SUSCEPTIBILITY GENES
We investigated the effects of immigration of individuals carrying susceptibility alleles on the level of resistance in populations of the house fly, Musca domestica L., selected for malathion resistance. Two types of males, WHO/IN males (homozygous for susceptibility genes) and A14-WHO males (heterozygous for the second chromosome) were released into the resistant populations in 1:9, 1:1, and 9:1 ratios of immigrant/resident males. In both experiments, we observed that increasing the ratio of immigrant to resident males from 1:9 to 9:1 caused an associated increase in mortality caused by malathion applications. Release of A14-WHO males was more effective in stopping the evolution of resistance in resistant populations than was release of WHO/IN males. Fitness parameters of resistant and susceptible strains were also compared. The WHO/IN strain had low viability and fecundity. R and A14-WHO males were longer-lived compared with WHO/IN males, although they did not differ in mating success
Morphometric and electrophoretic variation in different honeybee (Apis mellifera L.) populations
Honeybee colonies from Turkey, Naxcivan (Azerbaijan) and Austria were studied for morphometric and electrophoretic variation and for comparison among different subspecies. Out of six enzyme systems, four were found to be polymorphic with 14 allozymes. Discriminant function analysis of 10 morphometric variables resulted in a total of four groups. Cluster analysis of electrophoretic data showed a similar type of groupings. Among the four polymorphic loci, Mdh-1 showed the highest and Est-3 the lowest differentiation among populations. © TÜBİTAK
Morphometric and electrophoretic variation in different honeybee (Apis mellifera L.) populations
Honeybee colonies from Turkey, Naxcivan (Azerbajan) and Austria were studied for morphometric and electrophoretic variation and for comparison among different subspecies. Out of six enzyme systems, four were found to be polymorphic with 14 allozymes. Discriminant function analysis of 10 morphometric variables resulted in a total of four groups. Cluster analysis of electrophoretic data showed a similar type of groupings. Among the four polymorphic loci, Mdh-1 showed the highest and Est-3 the lowest differentiation among populations
Map position of phosphoglucomutase (Pgm) locus on autosome IV of house fly (Diptera: Muscidae)
We determined the map position of phosphoglucomutase (Pgm) locus on autosome IV of housefly, Musca domestica L. (Diptera: Muscidae), by using three and five point linkage test crosses. Test strains had visible mutant markers (car, bwb, cyw, and aabys). We analyzed 1,738 offspring in total from two groups of single-pair matings by electrophoresis. Here, we report the linkage of Pgm locus to autosome IV loci curly wing (cyw) and yellow eyes (ye) with recombination frequency of 16.9 and 1.1%, respectively. We combined the distances calculated from this study and the previously published data. An updated linkage map of the M. domestica L. Autosome IV was drawn based on combined data in terms of real map units obtained from the mapping function. © 2006 Entomological Society of America
The genetic basis of malathion resistance in housefly (Musca domestica L.) strains from Turkey
Organophosphate insecticide (parathion/diazinon) resistance in housefly ( Musca domestica L.) is associated with the change in carboxylesterase activity. The product of MdalphaE7 gene is probably playing a role in detoxification of xenobiotic esters. In our research, we have isolated, cloned and sequenced the MdalphaE7 gene from five different Turkish housefly strains. High doses of malathion ( 600 mug/fly) were applied in a laboratory environment for one year to Ceyhan1, Ceyhan2, Adana, and Ankara strains while no insecticide treatment was performed in the laboratory to Kirazli strain. Trp(251) --> Ser substitution was found in the product of MdalphaE7 gene in all malathion-resistant and Kirazli stocks. In addition, we checked the malathion carboxylesterase (MCE), percent remaining activities in acetylcholinesterase (AChE), glutathion-S-transferase (GST), and general esterase activities in all five strains used in this study. In comparing with universal standard sensitive control WHO, a high level of MCE and GST activities were observed while lower level of general esterase activities was detected in the tested strains. In addition, a higher percent remaining activities in AChE than WHO susceptible strain were observed in all malathion-resistant strains
Mitochondrial DNA variation in honey bee (apis mellifera l.) populations from Turkey
We have studied mitochondrial (mt) DNA variation in 334 honey bee colonies from 7 different geographic regions of Turkey. We have evaluated Dra I restriction profiles of the CO-I CO-II intergenic region, Hinf-I and Taq-I restriction profiles of the CO-I gene and EcoR-I restriction profiles of the whole mtDNA. We obtained three different mtDNA patterns by EcoR-I digestion. The pattern typical for A. m. carnica/A. m. ligustica predominated throughout Turkey (327 colonies, 97.9%). We observed the pattern common in African subspecies only in Hatay province (6 colonies, 1.8%) and a previously unreported pattern in one colony from Balıkesir province (0.3%). Dra-I restriction analysis of the CO-I CO-II intergenic region yielded seven haplotypes. Haplotype 1 (TrDra-1) was the most common one found in Turkey, whereas haplotype 2 (TrDra-2) was widely distributed in Eastern Anatolia. Based on mitochondrial ND2 sequences taken from two samples collected in each region, bees from Hatay clustered with A. m. lamarckii and A. m. meda (morphological A and O lineages), while bees from central Anatolia clustered within the C morphological lineage group. © 2006 International Bee Research Association.North Atlantic Treaty Organization: CRG.309726The authors would like to thank to all who assisted to this project in various ways. L. Garnery provided insight and guidance in methodology pertaining to the Dra-I test. This project was partially supported by a grant (VHAG -1077) from TUBITAK to MK, by an Integrated Ph.D. Program project grant from TUBITAK to AK, and by a NATO collaborative linkage grant (CRG.309726) to AK, LG, and WS. We also thank to anonymous reviewers for their comments on an earlier version of the manuscript