Honey Bee Queens Research Articles

Techno-Economic Feasibility: Planning an On-Grid Solar Power System for Shrimp Pond Aeration

The rapid growth of the Indonesian shrimp farming industry is accompanied by high production costs, primarily driven by the reliance on fossil fuel-based energy sources that can destabilize the ecosystem. This study investigates the technical, economic, and environmental feasibility of using three energy sources, including photovoltaics (PV), grid, and generator, to supply aeration needs in shrimp ponds. A comparative analysis of three scenarios with on-grid schemes was conducted through optimization using Queen Honey Bee Migration (QHBM) and Grey Wolf Optimization (GWO) algorithms, namely Net Present Cost (NPC), Renewable Fraction (RF), and Carbon Emission (ECO2). From a technical point of view, a lower electricity tariff is obtained compared to the grid, which is US$ 589,968. The optimization results on the NPC, RF, and ECO2 parameters show that scenario 1 of the QHBM algorithm is the most optimal. This condition is evidenced by the acquisition of 3 parameters that are closest to the determination of the objective function, yielding an NPC of US$ 230,390.34, RF of 26.01%, and ECO2 of 1,484KgCO2e, with 655Wp PV specifications and the number of PV as many as 578pcs. Economically, the investment in a solar power plant for the shrimp pond obtained BEP of 4.2 years with a payback period (PP) obtained in year 5, net cash-flow of US$ 63,317.31, with ROI of 19% and NPV of US$ 775,159.40 in the same year.

Accurate Detection of scutellata-Hybrids (Africanized Bees) Using a SNP-Based Diagnostic Assay.

Hybrid populations of Africanized honey bees (scutellata-hybrids), notable for their defensive behaviour, have spread rapidly throughout South and North America since their unintentional introduction. Although their migration has slowed, the large-scale trade and movement of honey bee queens and colonies raise concern over the accidental importation of scutellata-hybrids to previously unoccupied areas. Therefore, developing an accurate and robust assay to detect scutellata-hybrids is an important first step toward mitigating risk. Here, we used an extensive population genomic dataset to assess the genomic composition of Apis mellifera native populations and patterns of genetic admixture in North and South American commercial honey bees. We used this dataset to develop a SNP assay, where 80 markers, combined with machine learning classification, can accurately differentiate between scutellata-hybrids and non-scutellata-hybrid commercial colonies. The assay was validated on 1263 individuals from colonies located in Canada, the United States, Australia and Brazil. Notably, we demonstrate that using a reduced SNP set of as few as 10 loci can still provide accurate results.

Impact of commercial plastic queen cell cups on rearing success and development of honey bee queens

Queen rearing is a common beekeeping practice that plays a crucial role in modern apiculture. To enhance the efficiency of the queen rearing process, plastic queen cell cups have gained widespread popularity amongst queen producers. However, concerns have arisen regarding the potential adverse effects of these petrochemical-based products on queen rearing success and their development. To address this concern, we compared beeswax cups to 10 different commercial plastic queen cups by evaluating their effects on rearing success, queen development, and physical characteristics. Our results showed that plastic queen cell cups are manufactured in a variety of dimensions (inner diameter, depth, and wall thickness). A comparison of queen rearing between beeswax cups and different plastic cups revealed significant differences in larval acceptance, followed by sealing, and queen emergence. Negative correlations were observed between the inner diameter, the depth of queen cups, and the three metrics of queen rearing: acceptance, sealing, and queen emergence rates. While significant variation was observed among larvae weights raised in different queen cups, the differences were less pronounced for the deposited royal jelly weight measured from beeswax queen cups compared to different plastic cups. The weight and morphometric parameters of queens emerging from beeswax cups were similar to those from different plastic types. It indicates the need for standardizing queen cup dimensions without compromising the physical quality of queens.

Techno economic analysis of PV pumping system for rural village in East Java

Renewable energy systems offer a sustainable alternative for addressing energy needs, especially in rural settings. This study investigates the optimization of a hybrid photovoltaic (PV) pumping system by minimizing the Cost of Energy (COE), maximizing the Renewable Fraction (RF), and reducing Carbon Dioxide Emissions (ECO₂). The optimization process was carried out using Python to implement the Queen Honeybee Migration (QHBM) algorithm, which evaluated three distinct scenarios to determine the most efficient system configuration. The optimal setup comprised 48 units of 600 Wp PV panels, 17 units of 250 Ah batteries, and 3 units of 8,000 W inverters. This configuration achieved a COE of $0.041 per kWh, an RF of 43.96 %, and an ECO₂ reduction of 118.49 kgCO₂e, with a cumulative objective value of -146.76. A comparative analysis with the Particle Swarm Optimization (PSO) algorithm indicated that QHBM excels in optimizing RF and ECO₂, whereas PSO demonstrates marginally superior performance in reducing COE. The economic evaluation reveals a Net Present Value (NPV) of $40,206.11 over a 35-year period, a Return on Investment (ROI) of 398 %, a Break-Even Point (BEP) of 6.45 years, and a Payback Period (PP) of 13.25 years. The system is projected to yield daily and annual cost savings of $6.33 and $2,310.90, respectively. These results underscore the efficacy of QHBM in achieving superior techno-economic and environmental performance in hybrid PV pumping systems.

First person – Georgia Cullen

ABSTRACT First Person is a series of interviews with the first authors of a selection of papers published in Biology Open, helping researchers promote themselves alongside their papers. Georgia Cullen is first author on ‘ Development of germline progenitors in larval queen honeybee ovaries’, published in BiO. Georgia conducted the research described in this article while a PhD student in Peter Dearden's lab at the University of Otago. She is now a post-doc in the lab of Nicholas Teets at the University of Kentucky, investigating evolution, development, germlines, soma, oogenesis, insects, and genetic modification.

Differences in honeybee queen pheromones revealed by LC-MS/MS: Reassessing the honest signal hypothesis

The honest signal hypothesis posits that social insect queens emit pheromonal signals that convey information about fecundity, which workers use to make decisions around investing in direct or indirect fitness. We used liquid chromatography-tandem mass spectrometry to measure honeybee (Apis mellifera) queen retinue pheromone (QRP) in relation to age, laying status, and acceptance using a protocol that enables concurrent metabolomic and lipidomic analyses. Older queens produced higher levels of the QRP components 9-R-hydroxydec-2(E)-enoic acid (9(R)-HDA), linolenic acid (LEA), and 4-hydroxy-3-methoxyphenylethanol (HVA) compared to younger queens, with HVA also correlating with ovary mass. However, ovary mass was not an influential metric for worker decision-making around queen acceptance; therefore, the relationship between HVA and ovary mass is merely an "honest signal" of a non-influential metric. Parallel metabolomic and lipidomic analyses showed that samples cluster according to queen age and mating status, but not ovary mass, revealing many other physiological changes occurring in the queen's early life.

Development of germline progenitors in larval queen honeybee ovaries.

Honeybees (Apis mellifera) are a keystone species for managed pollination and the production of hive products. Eusociality in honeybees leads to much of the reproduction in a hive driven by the queen. Queen bees have two large active ovaries that can produce large numbers of eggs if conditions are appropriate. These ovaries are also active throughout the long lives of these insects, up to 5 years in some cases. Recent studies have indicated that the germline precursors of the adult honeybee queen ovary are organized into 8-cell clusters, joined together by a polyfusome; a cytoplasmic bridge. To understand the origin of these clusters, and trace the development of the honeybee queen ovary, we examined the cell types and regionalization of the developing larval and pupal queen ovaries. We used established (nanos and castor), and novel (odd skipped) gene expression markers to determine regions of the developing ovary. Primordial germline cells develop in the honeybee embryo and are organized into ovary structures before the embryo hatches. The ovary is regionalized by larval stage 3 into terminal filaments and germaria. At this stage, clusters of germline cells in the germaria are joined by fusomes and are dividing synchronously. The origin of the 8-cell clusters in the adult germarium is therefore during larval stages. On emergence, the queen ovary has terminal filaments and germaria but has not yet developed any vitellaria, which are produced after the queen embarks on a nuptial flight. The lack of germaria, and the storing of germline progenitors as clusters, may be adaptions for queen bees to endure the metabolic demands of a nuptial flight, as well as rapidly lay large numbers of eggs to establish a hive.

Individual and social heterosis act independently in honey bee (Apis mellifera) colonies.

Heterosis occurs in individuals when genetic diversity, i.e., heterozygosity, increases fitness. Many advanced eusocial insects evolved mating behaviors, including polyandry and polygyny, which increase inter-individual genetic diversity within colonies. The possibility of this structure of diversity to improve group fitness has been termed social heterosis. Neither the independence of individual and social heterosis nor their relative effect sizes have been explicitly measured. Through controlled breeding between pairs of Western honey bee queens (Apis mellifera L.; n=3 pairs) from two distinct populations, we created inbred colonies with low genetic diversity, hybrid colonies with high heterozygosity, and mixed colonies (combining inbred workers from each population) with low heterozygosity and high social diversity. We then quantified two independent traits in colonies: survival against bacterial challenge and maintenance of brood nest temperature. For both traits, we found hybrid and mixed colonies outperformed inbred colonies but did not perform differently from each other. During immune challenge assays, hybrid and mixed colonies experienced hazard ratios of 0.49 (95% CI [0.37, 0.65]) and 0.69 (95% CI [0.50, 0.96]) compared to inbred colonies. For nest temperatures, hybrid and mixed colonies experienced 1.94±0.97°C and 2.82±2.46°C less thermal error and 0.14±0.11°C2 and 0.16±0.06°C2 less thermal variance per hour than inbred lines. This suggests social and individual heterosis operate independently and may have similar effect sizes. These results highlight the importance of both inter- and intra-individual diversity to fitness, which may help explain the emergence of polyandry/polygyny in eusocial insects and inform breeding efforts in these systems.

Safety assessment of high doses of vaporized oxalic acid on honey bee worker health and queen quality

IntroductionThe honey bee ectoparasitic mite, Varroa destructor, is one of the main causes of honey bee colony loss worldwide. Synthetic acaricides are the most commonly used strategy for varroa control, however, resistance to these acaricides has emerged. Consequently, the use of organic acids for varroa control is gaining more interest among beekeepers. For example, oxalic acid (OA) is a natural compound that has been shown to be an effective acaricide against varroa mites, however, the potential toxicity of OA to adult bees and queens is poorly understood. The objective of the study was to evaluate the toxicity of incremental doses of vaporized OA on honey bee workers and queens.MethodsWe exposed 32 colonies to incremental doses (0, 5, 10 or 20 g per colony) of vaporized OA once per week over four consecutive weeks and we monitored the acute and long-term toxicity. We investigated the short-term effects of OA administration by evaluating adult bee mortality, brood production, and population size. Next, we evaluated the long-term effects of OA application on both worker bees and queens. Regarding workers, we investigated their ability to rear new queens. As for queens, we measured acceptance, performance, and sperm quality.ResultsWe found that colonies treated with 20 g OA (20 times the label dose) had a statistically significant increase in worker bee mortality, with a non-significant, 23% decrease in brood relative to controls. No significant differences were observed in queen performance nor sperm quality.DiscussionWe found that repeated application of vaporized OA, at up to 20 times the label dose, had no significant short-term nor long-term, negative effects on colony or queen health, with the exception of a short-term increase in adult bee mortality in the 20 g OA-treated group. The results of this study support the safety of higher-than-label doses of OA for honey bee colonies. The observed increase in adult bee mortality in the 20 g OA dose group in this study suggests that OA doses should be maintained below 20 g per brood chamber.

Queen honey bee migration (QHBM) optimization for droop control on DC microgrid under load variation

Transmission line impedance in DC microgrids can cause voltage dips and uneven current distribution, negatively impacting droop control and voltage stability. To address this, this study proposes an optimization approach using heuristic techniques to determine the optimal droop parameters. The optimizcv ation considers reference voltage constraints and virtual impedance at various load conditions, particularly resistive. The optimization problem is addressed using two techniques: queen honey bee migration (QHBM) and particle swarm optimization (PSO). Simulation results show that QHBM reaches an error of 0.8737 at the fourth iteration. The QHBM and PSO algorithms successfully optimized the performance of the DC microgrid under diverse loads, with QHBM converging in 5 iterations with an error of about 0.8737, and PSO in 40 iterations drawn error is 0.9 while keeping the current deviation less than 1.5 A and voltage error less than 0.5 V. The deviation of current control and virtual impedance values are verified through comprehensive simulations in MATLAB/Simulink.

Common viral infections inhibit egg laying in honey bee queens and are linked to premature supersedure

With their long lives and extreme reproductive output, social insect queens have escaped the classic trade-off between fecundity and lifespan, but evidence for a trade-off between fecundity and immunity has been inconclusive. This is in part because pathogenic effects are seldom decoupled from effects of immune induction. We conducted parallel, blind virus infection experiments in the laboratory and in the field to interrogate the idea of a reproductive immunity trade-off in honey bee (Apis mellifera) queens and to better understand how these ubiquitous stressors affect honey bee queen health. We found that queens injected with infectious virus had smaller ovaries and were less likely to recommence egg-laying than controls, while queens injected with UV-inactivated virus displayed an intermediate phenotype. In the field, heavily infected queens had smaller ovaries and infection was a meaningful predictor of whether supersedure cells were observed in the colony. Immune responses in queens receiving live virus were similar to queens receiving inactivated virus, and several of the same immune proteins were negatively associated with ovary mass in the field. This work supports the hypothesized relationship between virus infection and symptoms associated with queen failure and suggests that a reproductive-immunity trade-off is partially, but not wholly responsible for these effects.

Nutrient Composition and Quality Assessment of Royal Jelly Samples Relative to Feed Supplements.

Royal jelly is a substance secreted by the hypopharyngeal and mandibular glands of nurse honey bees, serving as crucial nutritional source for young larvae, queen honey bees, and also valuable product for humans. In this study, the effect of the feed supplements on the nutritional composition and qualities of royal jelly was investigated. Two types of royal jelly samples were acquired: one from honey bees fed with sugar syrup as a feed supplement and the other from honey bees fed with honey. The production, harvesting, and storage of all royal jelly samples followed standard procedures. Parameters for quality assessment and nutritional value, including stable carbon isotopic ratio, moisture content, 10-hydroxy-2-decenoic acid (10-HDA) level, carbohydrate composition, amino acid composition, and mineral contents, were analyzed. The results revealed that despite variability in moisture content and carbohydrate composition, fructose was lower (2.6 and 4.1 g/100 g as is for sugar-fed and honey-fed royal jelly, respectively) and sucrose was higher (7.5 and 2.7 g/100 g as is for sugar-fed and honey-fed royal jelly, respectively) in the sugar-fed group. The stable isotope ratio (-16.4608‱ for sugar-fed and -21.9304‱ for honey-fed royal jelly) clearly distinguished the two groups. 10-HDA, amino acid composition, and total protein levels were not significantly different. Certain minerals, such as potassium, iron, magnesium, manganese, and phosphorus were higher in the honey-fed group. Hierarchical analysis based on moisture, sugar composition, 10-HDA, and stable carbon isotopes categorized the samples into two distinct groups. This study demonstrated that the feed source could affect the nutritional quality of royal jelly.

Early life exposure to queen mandibular pheromone mediates persistent transcriptional changes in the brain of honey bee foragers.

Behavioural regulation in insect societies remains a fundamental question in sociobiology. In hymenopteran societies, the queen plays a crucial role in regulating group behaviour by affecting individual behaviour and physiology through modulation of worker gene expression. Honey bee (Apis mellifera) queens signal their presence via queen mandibular pheromone (QMP). While QMP has been shown to influence behaviour and gene expression of young workers, we know little about how these changes translate in older workers. The effects of the queen pheromone could have prolonged molecular impacts on workers that depend on an early sensitive period. We demonstrate that removal of QMP impacts long-term gene expression in the brain and antennae in foragers that were treated early in life (1day post emergence), but not when treated later in life. Genes important for division of labour, learning, chemosensory perception and ageing were among those differentially expressed in the antennae and brain tissues, suggesting that QMP influences diverse physiological and behavioural processes in workers. Surprisingly, removal of QMP did not have an impact on foraging behaviour. Overall, our study suggests a sensitive period early in the life of workers, where the presence or absence of a queen has potentially life-long effects on transcriptional activity.

The Enhanced Self-Lift Luo Converter with Qhbm for Maximum Power Extraction on PV Charging Station

This journal presents the development of an innovative algorithm for Maximum Power Point Tracking (MPPT) utilizing the Enhanced Self Lift Luo Converter (ESLLC) developed through Queen Honey Bee Migration (QHBM). The QHBM used for MPPT employs a queen-based decision-making approach to determine the optimal point on solar panels. The queen continuously searches for the Maximum Power Point (MPP), and upon locating it, ceases tracking and starts building a nest. Once the nest is established, the queen resumes the search for MPP. The testing simulation evaluates computing speed, durability, and MPP's margin errors. MATLAB/Simulink is employed for verification. The simulation results demonstrate that the QHBM surpasses other algorithms like PSO, P&O, and FLC in terms of computing speed, durability, and MPP margin errors. The QHBM-based MPPT exhibits superior responsiveness to changes in irradiation and temperature compared to alternative algorithms. This proposed algorithm effectively adapts to varying environmental conditions that influence irradiation and temperature changes. Consequently, the suggested algorithm holds significant promise for practical implementation in dynamic environmental settings.

Size and Shape Differences in Fore Wings of Honey Bee (Apis Mellifera) Queens, Workers and Drones

Abstract The three honey bee phenotypes - queens, workers, and drones differ in the size and shape of body parts. We used a large dataset to describe how the three phenotypes differed with regard to fore wings and applied the methodology of geometric morphometrics to measure the wings using the coordinates of nineteen landmarks. On average, queens had wings larger than workers, but the two castes had a broad overlap. Drones, on the other hand, had distinctly larger wings. Wing shape differed markedly among queens, workers and drones and can be used to reliably differentiate them from one other. Surprisingly, the fore wing shape of workers was more similar to that of drones than to that of queens. Small queens were not more similar to workers than large queens, and large workers were not more similar to queens than small workers. Because wing size, unlike body mass, does not change over the life of the queen, it can be used to evaluate the quality of a queen throughout its life and not only during a short period after emergence. We provide a large number of wing images of queens and drones, which can be used as a reference in future studies.

Economic aspects of honey bee queen breeding: insights from a European study

In 2017, the European Commission initiated the EurBeST study to explore the possibilities of using selective breeding of honey bees to increase Varroa resistance traits. One of the specific aims of the study was to assess the process of honey bee queen breeding through an economic analysis. The methodology for calculating the costs of queen production (queen rearing and mating), colony evaluation and expenses for estimating breeding values is based on the Cost of Production (CoP). Cost data were collected via tailor-made questionnaires and interviews performed in five European countries (France, Germany, Greece, Italy, and Poland). The sample population consisted of 20 queen producers and 20 performance testers who participated in the study. The results showed that the average costs for queen production amounted to 22.58 € per queen, ranging from 8.22 € in Poland to 37.30 € in France. The difference between the selling price and the production cost was on average 3.08 € per queen, ranging from 15.86 € in Germany to −12.30 € in France. On average, the colony evaluation costs were 193.40 € per colony. The average cost for breeding value estimation per queen was 8.09 €. Thus, the average total cost per selected queen was 224 €. The selective breeding of honey bees is an efficient way to increase productivity, reduce colony losses, improve bee health and enable profitable operations, but it is expensive, is usually promoted, practiced and implemented by scientists and researchers, and in most cases is financed by external sources.

Microbiota Analysis of Ejaculated Honey Bee Drone Semen and the Effect of Semen Collection Method on Bacterial Loads.

Artificial insemination in queen honey bees is the only tool that provides complete control over mating for research and breeding purposes, making it essential in genetic improvement and conservation programs in this species. The aims of this study were to characterize drone semen bacterial loads by culture-dependent and independent methods and to describe their variation depending on the method of semen collection, the colony and the apiary. In the first experiment, the bacterial loads of semen collected from the seminal vesicles or from ejaculates was studied using culture-dependent methods. The collection method had a significant influence on the overall bacterial count in semen. Out of the 42 semen samples analyzed, 26 (61.9%) tested positive for bacterial isolation. This encompassed the entirety of samples obtained from the seminal vesicles (21 of 21), whereas only 23.8% of those derived from ejaculates (5 out of 21) showed bacterial isolation. In the second experiment, next-generation sequencing techniques were used to describe the microbiome of ejaculated drone semen for the first time. The most abundant phyla were Proteobacteria, Firmicutes, Bacteroidota and Actinobacteriota, while the most abundant genera were Lactobacillus, Staphylococcus, Prevotella, Alloprevotella and Streptococcus. The results showed that the apiary had a significant effect on the community structure composition and abundance of the seminal microbiota, and significative differences in abundance were observed for the genera Sphingomonas, Methylobacterium-Methylorubrum, Bifidobacterium and Alloprevotella. Significant differences were also observed in the richness of the microbiota between apiaries and colonies.

Influence of honey bee (Apis mellifera) breeding on wing venation in Serbia and neighbouring countries.

In order to improve the productivity of honey bees (Apis mellifera), some of their traits are selected by breeding. On one hand, breeding is mainly based on the natural geographical variation of this species; on the other hand, mass production and distribution of artificially selected queens can significantly affect the natural geographic variation of honey bees. In this study, we have compared honey bee wings originating from breeding and non-breeding populations in Serbia. In the comparison, we have also used data from a large area of south-eastern Europe. The wings were measured using the 19 landmarks indicated on the wing images. The coordinates were analysed using the methodology of geometric morphometrics. We found that honey bees obtained from honey bee queen breeder differed in wing venation from surrounding populations, which are under natural selection. Therefore, we argue against including populations under artificial selection in the analysis of the natural geographical variation of honey bees. In our analysis of non-breeding samples, we found that in south-eastern Europe there is continuous variation in wing venation and no clear boundaries between A. m. carnica, A. m. cecropia, and A. m. macedonica.

Does the use of chlorantraniliprole during queen development adversely impact health and viability?

The queen is the sole reproductive individual and the maturing brood replenishes the shorter-lived worker bees. Production of many crops relies on both pesticides and bee pollination to improve crop quantity and quality. Despite the certain knowledge on chemical pesticides caused damage to worker bee physiology and behavior, our understanding of the relationship between honeybee queen development and chemical pesticides remains weak. Here, we comprehensive investigate the effects of the widely used insecticide chlorantraniliprole on the growth, hormone levels, and detoxifying enzyme activity of queen larvae. It has been determined that chlorantraniliprole present a chronic toxic effect on queen larvae and also reduced the fitness of queen, and that these effects are positively correlated with pesticide levels. It has been found that queen larvae began to show reduced capping and emergence rates when exposed to 2 ng/larva of chlorantraniliprole. At 20 ng/larva, queen capping and emergence rates were the lowest, and there were significant reductions in larval hormone level. Chlorantraniliprole have an effect on detoxification enzyme activity and hormone levels in queen larvae. In conclusion, chlorantraniliprole can adversely affect the growth and development of queen larvae. Our findings may guide the scientifically sound use of chemical pesticides to reduce potential risks to queen larvae.

Hypergravity Impact on Fertility of Apis mellifera carnica Queens – Case Study

The launch is considered the most stressful rocket flight stage due to the hypergravity occurrences. The possibility of using honey bees (Apis mellifera) as the extraterrestrial pollinator depends on their ability to reproduce correctly after experiencing hypergravity. The described study aims to verify the impact of a launching rocket’s acceleration on honey bee queen’s egg-laying behavior. Four artificially inseminated A. mellifera carnica queens were placed in the Human Training Centrifuge and given to the acceleration pattern of the launching Soyuz rocket. Next, the data on the number of food stores, eggs, larvae, and worker and drone pupae were collected from the test and control hives using the modified Liebefeld method. The pilot study results imply that accelerated queen’s egg-laying behavior may change twofold: limiting or maximizing the number of laid eggs, with the control queen egg-laying rate remaining stable for all samples. The number of drone pupae is greater for the test sample colonies, with its earlier appearance in the hive. No impact on overwintering success was observed. Authors indicate limitations of the results and a need to continue the study to verify the occurrence of anomalies potentially related to the examined factor.