Drone Congregation Areas Research Articles

Drone Congregation areas of Apis mellifera (hymenoptera: apidae) and Nosema sp. (nosematidae) in Bolivia: first report

Drone Congregation Areas (DCAs) are crucial natural gathering sites for Apis mellifera mating, like male leks in other animals. In these areas, virgin queens and drones from various hives congregate for mating, promoting genetic variability essential for colony adaptation and survival. Identifying drones in DCAs helps to understand the genetic variability within bee populations, which is crucial for promoting colony survival and resilience. Two areas in Villa Montes, Bolivia, were identified as potential DCAs through exploration methods utilizing satellite imagery. Furthermore, drones were captured within these DCAs using an attractive pheromone attached to an unmanned aerial vehicle to assess Nosema infection in the population.

MFCC Selection by LASSO for Honey Bee Classification

The recent advances in smart beekeeping focus on remote solutions for bee colony monitoring and applying machine learning techniques for automatic decision making. One of the main applications is a swarming alarm, allowing beekeepers to prevent the bee colony from leaving their hive. Swarming is a naturally occurring phenomenon, mainly during late spring and early summer, but it is extremely hard to predict its exact time since it is highly dependent on many factors, including weather. Prevention from swarming is the most effective way to keep bee colonies; however, it requires constant monitoring by the beekeeper. Drone bees do not survive the winter and they occur in colonies seasonally with a peak in late spring, which is associated with the creation of drone congregation areas, where mating with young queens takes place. The paper presents a method of early swarming mood detection based on the observation of drone bee activity near the entrance to a hive. Audio recordings are represented by Mel Frequency Cepstral Coefficients and their first and second derivatives. The study investigates which MFCC coefficients, selected by the Least Absolute Shrinkage and Selection Operator, are significant for the worker bee and drone bee classification task. The classification results, obtained by an autoencoder neural network, allow to improve the detection performance, achieving accuracy slightly above 95% for the chosen set of signal features, selected by the proposed method, compared to the standard set of MFCC coefficients with only up to 90% accuracy.

The use of drone congregation behaviour for population surveys of the honey bee Apis cerana

Honey bees (Apis spp.) are important pollinators in many natural and agro-ecosystems across the world. Effective means of surveying wild populations are therefore key to their conservation and management. One available survey method infers honey bee colony density from the genotype of drones (males) sampled from sites known as Drone Congregation Areas (DCAs). While this approach has been commonly used for the Western honey bee (A. mellifera), its feasibility for other Apis species is unknown. Here, we investigate drone congregation behaviour in the Asian honey bee Apis cerana in north-east Australia and its suitability for inferring colony density. As this A. cerana population is invasive, surveys in this case can aid in monitoring the population’s growth and spread. Over 5 years, we identified 30 DCAs, many of which were stable across time. DCAs were sheltered areas beside tree-lines or openings in the forest canopy. A. cerana drones joined DCAs during 1–2-h afternoon intervals and could be sampled at heights of 2–24 m via adhesive lines attached to helium balloons carrying lures coated in queen pheromone. Drones were more likely to be present at a DCA as temperature increased, though abiotic factors did not predict overall drone abundance. Drones could be sampled in low numbers even where colony density was extremely low. Based on the genotyping and inferred sibship of drones sampled at DCAs between 2016 and 2021, we estimate population density in Australia’s A. cerana to be in the range 1.1–8.1 colonies/km2. This extrapolates to a total population size in the range 11,000–83,000 colonies, with more refined estimates requiring better knowledge of drone flight distance and the effect of habitat on colony density. We conclude that population surveys based on drones from DCAs are possible for A. cerana and propose that this approach be part of a toolkit of methods used to monitor Asian honey bee populations in both their native and invasive ranges.

Prevalence of Varroa destructor and first report of Nosema sp. in Apis mellifera drone congregation areas

Varroosis and nosemosis are diseases that affect honey bees (Apis mellifera) and therefore have a great impact on beekeeping worldwide. These parasites can be dispersed by drones and, in the case of Varroa destructor (etiological agent of varroasis), its presence has been reported in areas of natural fertilization of A. mellifera, known as Drone Congregation Areas (DCA). Previously, several DCAs were identified in Argentina and progress was made in their topographic and genetic characterization, and sanitary studies were also initiated. In this study, three DCA and one apiary located in the province of Tucumán were monitored for four years, and the presence of V. destructor and Nosema sp. was evaluated. The results indicated the presence of V. destructor in the drone samples of the DCA throughout the study. Although a trend of decreasing parasitization over time was observed, no statistically significant differences were found between years or among the considered DCAs. The presence of Nosema sp. was detected for the first time in the DCA, with samples exhibiting high spore load. The results support the role of drones in the dynamics and dispersal of diseases and allow us to conclude that the analysis of DCAs represents a key tool for monitoring the health of bee populations, complementary to the analyses carried out in apiaries.

Drones Do Not Drift between Nests in a Wild Population of Apis cerana.

The modes through which individuals disperse prior to reproduction has important consequences for gene flow in populations. In honey bees (Apis sp.), drones (males) reproduce within a short flight range of their natal nest, leaving and returning each afternoon within a narrow mating window. Drones are assumed to return to their natal nests as they depend on workers to feed them. However, in apiaries, drones are reported to regularly make navigation errors and return to a non-natal nest, where they are accepted and fed by unrelated workers. If such a "drone drift" occurred in wild populations, it could facilitate some further degree of dispersal for males, particularly if drones drift into host nests some distance away from their natal nest. Here, we investigated whether drone drift occurs in an invasive population of the Asian honey bee (Apis cerana). Based on the genotypes of 1462 drones from 19 colonies, we found only a single drone that could be considered a candidate drifter (~0.07%). In three other colonies, drones whose genotypes differed from the inferred queen were best explained by recent queen turnover or worker-laying. We concluded that drone drift in this population is low at best, and A. cerana drones either rarely make navigation errors in wild populations or are not accepted into foreign nests when they do so. We therefore confirm that drone dispersal distance is limited to the distance of daily drone flights from natal nests, a key assumption of both colony density estimates based on sampling of drone congregation areas and population genetic models of gene flow in honey bees.

Morphometric and genetic characterization as tools for selection of Apis mellifera (Hymenoptera: Apidae) stocks in an area of natural hybridization in Argentina.

Beekeepers around the world select bees' characteristics that facilitate and favor production. In regions where hybridization among lineages is taking place, this selection is a challenge, given that these regions are "natural laboratories", where the action of evolutionary processes of a population or species occurs in real time. A natural honeybee (Apis mellifera) hybrid zone exists in Argentina between 28° and 35° South, where Africanized (AHB) and European (EHB) populations converge. In this zone, beekeepers use selected genetic resources of European origin mostly, since the local Africanized bees show a higher defensive behavior, which is not desirable for management. Although EHB colonies have many advantages for honey production, they are not fully adapted to the subtropical climate and are susceptible to certain parasitosis such as varroosis. In addition, both AHB and EHB mate in drone congregation areas (DCAs), where males and virgin queens fly to meet, resulting in variability in the desired characteristics. In this study, we explored the degree of hybridization within a DCA and its reference apiary, located in the province of Entre Ríos, by applying two complementary techniques. First, morphotypes with different degrees of hybridization between European and African subspecies were observed in the reference apiary, indicating a high sensitivity of this morphometric approach to detect hybridization in these populations. Second, a genetic analysis revealed haplotypes of both origins for drones in DCAs, with a higher prevalence of European haplotypes, while all the colonies from the reference apiary exhibited European haplotypes. Overall, our results are in line with the strong impact that commercial beekeeping has on the genetics of DCAs. We show how wing morphometry may be used to monitor hybridization between European and African subspecies, a tool that may be evaluated in other regions of the world where hybridization occurs.

Variation in the reproductive quality of honey bee males affects their age of flight attempt.

BackgroundHoney bee males (drones) exhibit life histories that enable a high potential for pre- or post-copulatory sperm competition. With a numerical sex ratio of ∼11,000 drones for every queen, they patrol flyways and congregate aerially to mate on the wing. However, colonies and in fact drones themselves may benefit from a relative lack of competition, as queens are highly polyandrous, and colonies have an adaptive advantage when headed by queens that are multiply mated. Previous research has shown that larger drones are more likely to be found at drone congregation areas, more likely to mate successfully, and obtain a higher paternity share. However, the reproductive quality and size of drones varies widely within and among colonies, suggesting adaptive maintenance of drone quality variation at different levels of selection.MethodsWe collected drones from six colony sources over the course of five days. We paint marked and individually tagged drones after taking body measurements at emergence and then placed the drones in one of two foster colonies. Using an entrance cage, we collected drones daily as they attempted flight. We collected 2,420 drones live or dead, analyzed 1,891 for attempted flight, collected emergence data on 207 drones, and dissected 565 upon capture to assess reproductive maturity. We measured drone body mass, head width, and thorax width at emergence, and upon dissection we further measured thorax mass, seminal vesicle length, mucus gland length, sperm count, and sperm viability from the seminal vesicles.ResultsWe found that drones that were more massive at emergence were larger and more fecund upon capture, suggesting that they are of higher reproductive quality and therefore do not exhibit a trade-off between size and fecundity. However, smaller drones tended to attempt initial flight at a younger age, which suggests a size trade-off not with fecundity but rather developmental maturation. We conclude that smaller drones may take more mating flights, each individually with a lower chance of success but thereby increasing their overall fitness. In doing so, the temporal spread of mating attempts of a single generation of drones within a given colony increases colony-level chances of mating with nearby queens, suggesting an adaptive rationale for high variation among drone reproductive quality within colonies.

Analysis of Honeybee Drone Activity during the Mating Season in Northwestern Argentina.

Simple SummaryWhen we think of social insects, we mostly neglect males and their biology. Honeybee males or drones are an example. Like queens, drones are founders of the colony, but unlike queens and workers, their activity is not well-known. Drones exit the hive to mate as their only goal, in spite of the high chances of getting lost, being preyed upon and starving; and only if they are lucky, they will die when mating. These nuptial flights take place in Drone Congregation Areas during spring and summer, and we know that their exit time is in the afternoons. Although, drone activity at other hours of the day has not been studied. Using three methods (direct observation, video records and microchip tagging) we evaluated drone activity during the whole day in Northwest Argentina. We detected 24 h of activity for the first time. Surprisingly, several drones were active at dawn, morning, and late morning. Most of them were active in the afternoon, as previously reported. The activity at dawn and during the morning could be a normal pattern in drones around the world, or it could be a result of abnormal factors, such as environmental variables altering their biological clocks.Males in Hymenopteran societies are understudied in many aspects and it is assumed that they only have a reproductive function. We studied the time budget of male honey bees, drones, using multiple methods. Changes in the activities of animals provide important information on biological clocks and their health. Yet, in nature, these changes are subtle and often unobservable without the development and use of modern technology. During the spring and summer mating season, drones emerge from the hive, perform orientation flights, and search for drone congregation areas for mating. This search may lead drones to return to their colony, drift to other colonies (vectoring diseases and parasites), or simply get lost to predation. In a low percentage of cases, the search is successful, and drones mate and die. Our objective was to describe the activity of Apis mellifera drones during the mating season in Northwestern Argentina using three methods: direct observation, video recording, and radio frequency identification (RFID). The use of RFID tagging allows the tracking of a bee for 24 h but does not reveal the detailed activity of drones. We quantified the average number of drones’ departure and arrival flights and the time outside the hive. All three methods confirmed that drones were mostly active in the afternoon. We found no differences in results between those obtained by direct observation and by video recording. RFID technology enabled us to discover previously unknown drone behavior such as activity at dawn and during the morning. We also discovered that drones may stay inside the hive for many days, even after initiation of search flights (up to four days). Likewise, we observed drones to leave the hive for several days to return later (up to three days). The three methods were complementary and should be considered for the study of bee drone activity, which may be associated with the diverse factors influencing hive health.

Harmonic radar tracking reveals that honeybee drones navigate between multiple aerial leks

SummaryMale honeybees (drones) are thought to congregate in large numbers in particular “drone congregation areas” to mate. We used harmonic radar to record the flight paths of individual drones and found that drones favored certain locations within the landscape which were stable over two years. Drones often visit multiple potential lekking sites within a single flight and take shared flight paths between them. Flights between such sites are relatively straight and begin as early as the drone's second flight, indicating familiarity with the sites acquired during initial learning flights. Arriving at congregation areas, drones display convoluted, looping flight patterns. We found a correlation between a drone's distance from the center of each area and its acceleration toward the center, a signature of collective behavior leading to congregation in these areas. Our study reveals the behavior of individual drones as they navigate between and within multiple aerial leks.

Landscape features causing the local congregation of honeybee males (Apismellifera L.)

AbstractAerial male congregation has been observed in eusocial Hymenoptera such as ants and bees. It is associated with mating and can help to minimize the frequency of inbreeding, which contributes to sustaining their society consisting of relatives. Male congregation often occurs at the same site each year. It has been suggested that there are factors defining the location for male congregation, but empirical evidence for this is currently scarce. In this study, landscape features for European honeybee male congregation areas, called drone congregation areas (DCAs), were evaluated by comparing DCA and non‐DCA landscapes as well as those of the entire surveyed study area using a digital elevation model, digital surface model, and land‐cover data. The observed DCAs were generally characterized as being open fields with few structures, having high levels of sun irradiance, and low elevation. The effective range of models that predicted the DCAs was smaller in the model with parameters considering objects above the terrain surface. The results provide an insight into the cues used by the bees to orientate and navigate themselves toward specific mating places, the mechanisms promoting the formation of local male congregations, and why certain locations are selected as mating places.

A methodology to assist in locating drone congregation area using remote sensing technique

The mating of honey bees, Apis mellifera L. occurs in the air at specific locations called drone congregation areas (DCAs). The identification of these areas is important for beekeepers especially breeders of queens to ensure the mating of their virgin queens, and for studies on the mating behaviour of honey bee queens. In this study, remote sensing and geographical information systems were used for the first time to develop a methodology that can assist in locating these DCAs. The methodology included analysing landscape characteristics around the apiary to exclude unsuitable areas as DCAs, and finally to limit the search to a smaller area. An isolated apiary was used to develop the methodology and the actual location of the DCA was confirmed using field observations. The results of this study indicated that remote sensing can assist in locating DCAs.

Split or combine? Effects of repeated sampling and data pooling on the estimation of colony numbers obtained from drone genotyping

Male honey bees trapped at Drone Congregation Areas (DCAs) can be used to infer the number of colonies from which drones were derived, and thereby colony density in the environment. Crucial to the accuracy of this method is precise grouping of males into brother groups based on genetic markers, and a sample size that is sufficient so that all colonies in the area are included in the sample. The optimal sample size is a trade-off between cost and accuracy and cannot be known prior to sampling. Therefore, follow-up surveys may be necessary if the data indicate that the first sample was too small. However, the effect of multiple sampling on allele frequency estimates and the accuracy of the method is poorly understood. Here we trapped drones from two independent DCAs every month over 2 and 2.5 years. We analysed our data using the sibship grouping programme COLONY in three ways: (i) using data from the entire year, and counting the number of colonies identified in each month; (ii) using monthly data with allele frequencies from the entire season; and (iii) using data from each month separately. Although there were significant changes in allele frequencies over the year, these changes had no material effect on classifications of drones into families. Therefore, multiple samples can provide more robust estimates of family groupings due to the larger sample size and can be used with confidence where required.

The neuroethology of olfactory sex communication in the honeybee Apis mellifera L.

The honeybee Apis mellifera L. is a crucial pollinator as well as a prominent scientific model organism, in particular for the neurobiological study of olfactory perception, learning, and memory. A wealth of information is indeed available about how the worker bee brain detects, processes, and learns about odorants. Comparatively, olfaction in males (the drones) and queens has received less attention, although they engage in a fascinating mating behavior that strongly relies on olfaction. Here, we present our current understanding of the molecules, cells, and circuits underlying bees' sexual communication. Mating in honeybees takes place at so-called drone congregation areas and places high in the air where thousands of drones gather and mate in dozens with virgin queens. One major queen-produced olfactory signal-9-ODA, the major component of the queen pheromone-has been known for decades to attract the drones. Since then, some of the neural pathways responsible for the processing of this pheromone have been unraveled. However, olfactory receptor expression as well as brain neuroanatomical data point to the existence of three additional major pathways in the drone brain, hinting at the existence of 4 major odorant cues involved in honeybee mating. We discuss current evidence about additional not only queen- but also drone-produced pheromonal signals possibly involved in bees' sexual behavior. We also examine data revealing recent evolutionary changes in drone's olfactory system in the Apis genus. Lastly, we present promising research avenues for progressing in our understanding of the neural basis of bees mating behavior.

Varroa destructor Parasitism and Genetic Variability at Honey Bee (Apis mellifera) Drone Congregation Areas and Their Associations With Environmental Variables in Argentina

Varroa destructor is a serious ectoparasite of the western honey bee, Apis mellifera, which negatively impacts on colonies health and survival worldwide. Drone-mediated movement and the presence of the mite in Drone Congregation Areas (DCA) may play a relevant role in Varroa dispersal. The objectives of this study were to characterize mite infestation levels and genetic diversity in DCAs and surrounding apiaries and to explore putative environmental variables associated to Varroa infestation in two eco-climatic regions of Argentina (temperate, and subtropical). Phoretic mite proportions in DCAs and apiaries were estimated during spring. Landscape, topographic, and climate variables were described using satellite image classifications and data from public databases. The genetic composition of drones at the DCAs and workers from the surrounding apiaries was assessed using mitochondrial markers. In total, eleven DCAs were identified in both regions during 2017 and 2018. The mean proportion of Varroa was ca. 3 in 1000 (0.0028 ± 0.0046) at the apiaries, and ca. 2 in 100 (0.0168 ± 0.0227) at the DCAs. No statistical differences were observed between apiaries and DCAs or between ecoregions, but the proportion of infested males at the DCAs was positively correlated to the distance to the apiary and a trend was observed toward higher mite loads in DCAs. Landscape and topography were not determinant for Varroa infestation at the DCAs but relative humidity and precipitation in the previous week of sampling, positively influenced infestation. More haplotypic diversity was detected in the DCAs compared to the surrounding apiaries, particularly in the subtropical region. While in this region high prevalence of Africanized (A1, A4) mitochondrial lineages was detected, European lineages (C1, C2j) were mostly found in apiaries and DCA in the temperate region. Our results provide valuable information on the dynamics of Varroa parasitism in apiaries and DCAs, and highlight the role of drones in mite dispersion and genetic variability of new colonies. The study of DCAs emerges as a tool for investigating not only honey bee reproduction and conservation, but also the impact of the environment on bee epidemiology.

Using trapped drones to assess the density of honey bee colonies: a simulation and empirical study to evaluate the accuracy of the method

It is often necessary to assess the density of honey bee colonies in an environment. In theory, a random sample of males obtained at a mating lek (Drone Congregation Area) can be used to infer the number of queens that contributed sons to the sample, and thereby estimate colony density based on the area from which drones are drawn to a DCA. Because of its utility and efficiency, the technique is being increasingly used. However, the accuracy of the method has never been evaluated, and there are no recommendations for sample size. Here, we infer the genotypes of 322 mother queens from the genotypes of 2329 drones caught at a single DCA using the program COLONY. We then use this realistic pool of queen genotypes to generate multiple simulated data sets of drone genotypes, varying the number of queens and sons that each queen contributed to the sample. We find that the technique provides an accurate estimate (<10% error) of the total number of families present in a drone sample, provided that queens contribute at least six drones to the sample on average. This threshold can be reduced when colony density is low. Non‐sampling error only becomes significant when queens contribute fewer than three sons on average across simulated samples. We conclude that the technique is robust and can be used with confidence provided that the sample size is adequate.

Queenless colonies contribute to the male breeding population at honey bee drone congregation areas

Honey bee workers can lay eggs that result in viable males (drones). In queenless colonies, workers activate their ovaries and lay eggs, both in their own colony and in other queenless colonies. While worker reproduction and reproductive parasitism are well demonstrated, the direct contribution of reproductive workers to the gene pool is unclear. Queenless workers mostly lay their eggs in worker-sized brood cells. The resulting drones are smaller than normal drones. We determined two measures of forewing size in drones reared in drone-sized cells (DC) and in worker-sized cells (WC). Forewing length and width were 5.78 ± 0.26 mm (± SD) and 1.27 ± 0.08 mm, respectively, for drones reared in DC, and 5.01 ± 0.21 mm and 1.11 ± 0.05 mm for drones reared in WC. Discriminant function analysis indicated that forewing length alone is sufficient to differentiate DC and WC drones. To determine the contribution of worker-laid drones to the mating population, we sampled males at a natural mating lek using a Williams’ drone trap every month for 12 months. We used the discriminant function to assign drones as being DC or WC based on their forewing length and a strict classification criterion of ≥ 0.99% posterior probability of assignment to one or other group. We estimate that about 0.23% of sampled males were reared in WC and were, therefore, likely to have been laid by workers. Our results suggest that queenless workers and queenless colonies make a small contribution to the male mating population, and that this contribution may be sufficient to provide ongoing selection for worker reproductive parasitism.

The discovery of Varroa destructor on drone honey bees, Apis mellifera, at drone congregation areas.

Varroa is an external parasitic mite of honey bees and is a vector of multiple viruses that can severely weaken or cause the failure of western honey bee colonies if untreated. Effective Varroa control is dependent upon a thorough understanding of Varroa biology, including how Varroa move between host colonies. Here, we highlight that drone (male) honey bees may also play a role in Varroa dispersal. Drones were collected and the number of Varroa per 100 drones was calculated for each of five drone congregation areas (mating sites). This study is the first to confirm that drones present at drone congregation areas do carry Varroa. Further experimentation is needed to determine the extent to which drone-mediated movement may play a role in Varroa life history and/or to develop practical management strategies to limit drone-mediated movement of Varroa between honey bee hives.

Primer reporte de un Área de Congregación de Zánganos de Apis mellifera (Hymenoptera: Apidae) de Argentina

Natural reproduction of honeybees occurs in zones called drone congregation areas (DCA), visited by drones (males) and queens of several colonies. These are open areas, protected from the wind by a high vegetation cover and are very common near an apiary. Until now, no DCA had been reported in Argentina. We first determined the flight activity of drones, watching the entrance and exit to the hives from 8:00 to 18:00. We found two peaks of flight activity: from 11:00 to 12:00 and from 15:00 to 17:30. To find a DCA, we tracked the movement of drones using helium-filled balloons and kites. Each contact point of drones in the bait was georeferenced with a GPS to determine the path to a DCA. We report the first DCA in northern Argentina, near an apiary that breeds queen bees, in Alberdi, Tucumán (ARG). This study is important because it implements a method for monitoring DCAs, which is useful to study the health and genetic structure and diversity of Apis mellifera L., as well as for apiculture, because it provides a tool for beekeepers that could help preserve regional ecotypes through reproductive planning for bees.

The use of an unmanned aerial vehicle (UAV) to investigate aspects of honey bee drone congregation areas (DCAs)

Unmanned aerial vehicles (UAVs) are a relatively new method of acquiring scientific data in a variety of applications and although their use has expanded greatly in recent years there has been no evaluation of the use of UAVs in the investigation of honey bee drone congregation areas (DCAs). This scientific note describes the advantages of using a UAV for locating DCAs and investigating DCA boundaries in difficult terrain and adverse wind conditions. A Phantom Vision 2 Unmanned Arial Vehicle video camera drone fitted with an artificial queen bee was used to examine DCAs in a mountainous, bush clad area in the Wellington area of New Zealand. The UAV was able to investigate areas not easily accessible on foot and impassable for vehicles, and was able to investigate areas upwind of the operator. Results suggest that the directionality of a UAV is useful in investigating DCAs and helping to determine their boundaries in areas of difficult terrain in the Wellington area of New Zealand.

Managed European-Derived Honey Bee, Apis mellifera sspp, Colonies Reduce African-Matriline Honey Bee, A. m. scutellata, Drones at Regional Mating Congregations.

African honey bees (Apis mellifera scutellata) dramatically changed the South American beekeeping industry as they rapidly spread through the Americas following their introduction into Brazil. In the present study, we aimed to determine if the management of European-derived honey bees (A. mellifera sspp.) could reduce the relative abundance of African-matriline drones at regional mating sites known as drone congregation areas (DCAs). We collected 2,400 drones at six DCAs either 0.25 km or >2.8 km from managed European-derived honey bee apiaries. The maternal ancestry of each drone was determined by Bgl II enzyme digestion of an amplified portion of the mitochondrial Cytochrome b gene. Furthermore, sibship reconstruction via nuclear microsatellites was conducted for a subset of 1,200 drones to estimate the number of colonies contributing drones to each DCA. Results indicate that DCAs distant to managed European apiaries (>2.8 km) had significantly more African−matriline drones (34.33% of the collected drones had African mitochondrial DNA) than did DCAs close (0.25 km) to managed European apiaries (1.83% of the collected drones had African mitochondrial DNA). Furthermore, nuclear sibship reconstruction demonstrated that the reduction in the proportion of African matriline drones at DCAs near apiaries was not simply an increase in the number of European matriline drones at the DCAs but also the result of fewer African matriline colonies contributing drones to the DCAs. Our data demonstrate that the management of European honey bee colonies can dramatically influence the proportion of drones with African matrilines at nearby drone congregation areas, and would likely decreasing the probability that virgin European queens will mate with African drones at those drone congregation areas.