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While mounting evidence indicates that a phylogenetically diverse group of animals detect Earth-strength magnetic fields, a magnetoreceptor has not been identified in any animal. One possible reason that identifying a magnetoreceptor has proven challenging is that, like many research fields, magnetoreception research lacks extensive independent replication. Independent replication is important because a subset of studies undoubtedly contain false positive results and without replication it is difficult to determine whether the outcome of an experiment is a false positive. However, we report here a reanalysis of a well-cited paper on honeybee magnetoreception demonstrating that the original paper represented a false positive finding caused by incorrect estimates of probability. We also point out how good experimental design practices could have revealed the error prior to publication. Hopefully, this reanalysis will serve as a reminder of the importance of good experimental design in order to reduce the likelihood of publishing false positive results., Competing Interests: Competing interestsThe authors declare no competing or financial interests., (© 2018. Published by The Company of Biologists Ltd.)

Purpose: To compare the outcomes of ocular injuries of hornets and paper wasps' stings., Study Design: Retrospective case series., Methods: Patients diagnosed with ocular injuries sustained by bee stings at Miyata Eye Hospital (Miyazaki, Japan) between August 2000 and July 2016 were enrolled. Retrospective data regarding type of bee, visual acuity, and treatment were collected from medical records. Outcomes of the hornet and wasp groups were compared., Results: Five eyes of 5 patients (3 men, 2 women; mean age 44.6±21.2 years [range 9-62 years]) were enrolled. The mean follow-up period was 50.6 ± 57.6 months (range 4 days to 121 months). The causative bee was hornet in 3 cases and wasp in 2. The anterior chamber was irrigated in 2 patients, both from the hornet group. The best-corrected visual acuity at the final visit was no light perception, light perception, and (0.02) in the hornet group, (1.5) and (1.2) in the wasp group., Conclusions: The hornet group exhibited significantly worse prognosis than the wasp group. Identifying the type of bee is important in establishing prognosis.

Domesticated honeybees and wild bees are some of the most important beneficial insects for human and environmental health, but infectious diseases pose a serious risk to these pollinators, particularly following the emergence of the ectoparasitic mite Varroa destructor as a viral vector. The acquisition of this novel viral vector from the Asian honeybee Apis ceranae has fundamentally changed viral epidemiology in its new host, the western honeybee A. mellifera. While the recently discovered Lake Sinai Viruses (LSV) have been associated with weak honeybee colonies, they have not been associated with vector-borne transmission. By combining a large-scale multi-year survey of LSV in Chinese A. mellifera and A. cerana honeybee colonies with globally available LSV-sequence data, we investigate the global epidemiology of this virus. We find that globally distributed LSV is a highly diverse multi-strain virus, which is predominantly associated with the western honeybee A. mellifera. In contrast to the vector-borne deformed wing virus, LSV is not an emerging disease. Instead, demographic reconstruction and strong global and local population structure indicates that it is a highly variable multi-strain virus in a stable association with its main host, the western honeybee. Prevalence patterns in China suggest a potential role for migratory beekeeping in the spread of this pathogen, demonstrating the potential for disease transmission with the man-made transport of beneficial insects., (© 2023 The Authors. Molecular Ecology published by John Wiley & Sons Ltd.)

Alternative reproductive tactics (ARTs) occur when there is categorical variation in the reproductive strategies of a sex within a population. These different behavioral phenotypes can expose animals to distinct cognitive challenges, which may be addressed through neuroanatomical differentiation. The dramatic phenotypic plasticity underlying ARTs provides a powerful opportunity to study how intraspecific nervous system variation can support distinct cognitive abilities. We hypothesized that conspecific animals pursuing ARTs would exhibit dissimilar brain architecture. Dimorphic males of the bee species Centris pallida and Amegilla dawsoni use alternative mate location strategies that rely primarily on either olfaction (large-morph) or vision (small-morph) to find females. This variation in behavior led us to predict increased volumes of the brain regions supporting their primarily chemosensory or visual mate location strategies. Large-morph males relying mainly on olfaction had relatively larger antennal lobes and relatively smaller optic lobes than small-morph males relying primarily on visual cues. In both species, as relative volumes of the optic lobe increased, the relative volume of the antennal lobe decreased. In addition, A. dawsoni large males had relatively larger mushroom body lips, which process olfactory inputs. Our results suggest that the divergent behavioral strategies in ART systems can be associated with neuroanatomical differentiation.

Social insects are notable for having two female castes that exhibit extreme differences in their reproductive capacity. The molecular basis of these differences is largely unknown. Vitellogenin (Vg) is a powerful antioxidant and insulin-signalling regulator used in oocyte development. Here we investigate how Royal Jelly (the major food of honeybee queens) and queen mandibular pheromone (a major regulator of worker fertility), affect the longevity and reproductive status of honey bee workers, the expression of Vg, its receptor VgR and associated regulatory proteins. We find that Vg is expressed in the ovaries of workers and that workers fed a queen diet of Royal Jelly have increased Vg expression in the ovaries. Surprisingly, we find that expression of Vg is not associated with ovary activation in workers, suggesting that this gene has potentially acquired non-reproductive functions. Therefore, Vg expression in the ovaries of honeybee workers provides further support for the Ovarian Ground Plan Hypothesis, which argues that genes implicated in the regulation of reproduction have been co-opted to regulate behavioural differences between queens and workers., (© 2021 The Royal Entomological Society.)

Agonistic interactions among individuals can result in the formation of dominance hierarches that can reinforce individual behavior and social status. Such dominance hierarches precede the establishment of reproductive dominance, division of labor and caste formation in highly social insect taxa. As such, deciphering the molecular basis of aggression is fundamental in understanding the mechanisms of social evolution. Assessing the proximate mechanisms of aggression in incipiently social bees can provide insights into the foundations of genomic mechanisms of social behavior. Here, we measured the effects of aggression on brain gene expression in the incipiently social bee, Ceratina australensis. We examine the brain transcriptomic differences between individuals who have experienced recurrent winning, losing, or a change in rank during repeated encounters. Using comparative analyses across taxa, we identify deeply conserved candidate genes, pathways, and regulatory networks for the formation of social hierarchies., (© 2019 John Wiley & Sons Ltd and International Behavioural and Neural Genetics Society.)

Copyright of Journal of Plant Protection & Pathology is the property of Egyptian National Agricultural Library (ENAL) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Independent origins of sociality in bees and ants are associated with independent expansions of particular odorant receptor (OR) gene subfamilies. In ants, one clade within the OR gene family, the 9-exon subfamily, has dramatically expanded. These receptors detect cuticular hydrocarbons (CHCs), key social signaling molecules in insects. It is unclear to what extent 9-exon OR subfamily expansion is associated with the independent evolution of sociality across Hymenoptera, warranting studies of taxa with independently derived social behavior. Here, we describe OR gene family evolution in the northern paper wasp, Polistes fuscatus , and compare it to four additional paper wasp species spanning ∼40 million years of evolutionary divergence. We find 200 putatively functional OR genes in P. fuscatus , matching predictions from neuroanatomy, and more than half of these are in the 9-exon subfamily. Most OR gene expansions are tandemly arrayed at orthologous loci in Polistes genomes, and microsynteny analysis shows species-specific gain and loss of 9-exon ORs within tandem arrays. There is evidence of episodic positive diversifying selection shaping ORs in expanded subfamilies. Values of omega (d N/ d S) are higher among 9-exon ORs compared to other OR subfamilies. Within the Polistes OR gene tree, branches in the 9-exon OR clade experience relaxed negative (relaxed purifying) selection relative to other branches in the tree. Patterns of OR evolution within Polistes are consistent with 9-exon OR function in CHC perception by combinatorial coding, with both natural selection and neutral drift contributing to interspecies differences in gene copy number and sequence. [ABSTRACT FROM AUTHOR]

Individual heterogeneity within societies provides opportunities to test hypotheses about adaptive neural investment in the context of group cooperation. Here, we explore neural investment in defense specialist soldiers of the eusocial stingless bee (Tetragonisca angustula) which are age subspecialized on distinct defense tasks and have an overall higher lifetime task repertoire than other sterile workers within the colony. Consistent with predicted behavioral demands, soldiers had higher relative visual (optic lobe) investment than nonsoldiers but only during the period when they were performing the most visually demanding defense task (hovering guarding). As soldiers aged into the less visually demanding task of standing guarding this difference disappeared. Neural investment was otherwise similar across all colony members. Despite having larger task repertoires, soldiers had similar absolute brain size and the smaller relative brain size compared to other workers, meaning that lifetime task repertoire size was a poor predictor of brain size. Both high behavioral specialization in stable environmental conditions and reassignment across task groups during a crisis occur in T. angustula. The differences in neurobiology we report here are consistent with these specialized but flexible defense strategies. This work broadens our understanding of how neurobiology mediates age and morphological task specialization in highly cooperative societies., (© 2021 Wiley Periodicals LLC.)

Accusations have been made against high-profile papers documenting honeybee navigation, specifically regarding the existence of an internal "odometer" that relies on visual cues. Two scientists have raised concerns about possible miscalculations, image reuse, and data manipulation in 10 key papers. The author of these papers, Mandyam Veerambudi "Srini" Srinivasan, denies the allegations and states that his conclusions remain firm and have been independently replicated. While some researchers support Srinivasan, others believe that the claims need to be revisited. The journal Science is evaluating the concerns, and further investigation may be necessary. [Extracted from the article]

The "River Disease" (RD), a disorder impacting honeybee colonies located close to waterways with abundant riparian vegetation (including Sebastiania schottiana, Euphorbiaceae), kills newly hatched larvae. Forager bees from RD-affected colonies collect honeydew excretions from Epormenis cestri (Hemiptera: Flatidae), a planthopper feeding on trees of S. schottiana. First-instar honeybee larvae fed with this honeydew died. Thus, we postulated that the nectars of RD-affected colonies had a natural toxin coming from either E. cestri or S. schottiana. An untargeted metabolomics characterization of fresh nectars extracts from colonies with and without RD allowed to pinpoint xanthoxylin as one of the chemicals present in higher amounts in nectar from RD-affected colonies than in nectars from healthy colonies. Besides, xanthoxylin was also found in the aerial parts of S. schottiana and the honeydew excreted by E. cestri feeding on this tree. A larva feeding assay where xanthoxylin-enriched diets were offered to 1 st instar larvae showed that larvae died in the same proportion as larvae did when offered enriched diets with nectars from RD-colonies. These findings demonstrate that a xenobiotic can mimic the RD syndrome in honeybee larvae and provide evidence of an interspecific flow of xanthoxylin among three trophic levels. Further, our results give information that can be considered when implementing measures to control this honeybee disease., (© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Workers of Apis cerana cerana undergo an in-hive nursing to outdoor foraging transition, but the genes underlying this age-related transition remain largely unknown. Here, we sequenced the head transcriptomes of its 7-day-old normal nurses, 18- and 22-day-old normal foragers, 7-day-old precocious foragers and 22-day-old over-aged nurses to unravel the genes associated with this transition. Mapping of the sequence reads to Apis mellifera genome showed that the three types of foragers had a greater percentage of reads from annotated exons and intergenic regions, whereas the two types of nurses had a greater percentage of reads from introns. Pair- and group-wise comparisons of the five transcriptomes revealed 59 uniquely expressed genes (18 in nurses and 41 in foragers) and 14 nurse- and 15 forager-upregulated genes. The uniquely expressed genes are usually low-abundance long noncoding RNAs, transcription factors, transcription coactivators, RNA-binding proteins, kinases or phosphatases that are involved in signaling and/or regulation, whereas the nurse- or forager-upregulated genes are often high-abundance downstream genes that directly perform the tasks of nurses or foragers. Taken together, these results suggest that the nurse-forager transition is coordinated by a social signal-triggered epigenetic shift from introns to exons/intergenic regions and the resulting transcriptional shift between the nurse- and forager-associated genes., (© 2020 Institute of Zoology, Chinese Academy of Sciences.)

It is known that animals are sensitive to the geomagnetic field. In the case of insects, magnetoreception has been reported in several ant species and in some bees and wasps. One study showed that the stingless bee Tetragonisca angustula is able to sense the modification of the magnetic field inclination. The aim of the present manuscript is to continue that study in T. angustula, analyzing the nest arrival and departure angles in the presence of magnetic fields generated by magnets. The bees flying to and from the nest were recorded and the flying trajectories were obtained by analyzing the video frame by frame. The magnetic field was generated by 6, 9, or 12 magnets contained inside an Eppendorf tube and fixed near the nest. Our results show that T. angustula bees are sensitive to magnetic fields because the departure angles are influenced by the magnets. It was observed that these bees are sensitive to the polarization of the magnetic field vector that influences the choice of flying up or down, and this sensitivity has a window until about 80 μT (about four times the local geomagnetic field), with the magnetic field information for higher magnetic field intensities being ignored by the bees. Bioelectromagnetics. 2021;42:51-59. © 2020 Bioelectromagnetics Society., (© 2020 Bioelectromagnetics Society.)

Ethiprole has been widely used in agriculture, but there have been few studies on the adverse effects of ethiprole on nontarget organisms. This study focused on the mechanism of the sublethal effects of ethiprole on the development, antioxidation mechanisms, detoxification mechanisms and immune-related gene expression of honeybees (Apis mellifera L.). Honeybee larvae were found to be more sensitive than pupae to ethiprole. It was found that ethiprole inhibited the pupation and eclosion of bee larvae in a dose-dependent manner, with ethiprole doses of 1 × 10 -3  mg/L decreasing pupation and eclosion rates to 50.00 ± 8.84% and 20.83 ± 10.62%, respectively. The activities of antioxidative enzymes (superoxide dismutase and catalase) and detoxification factors (glutathione and glutathione S-transferase) were also significantly increased in ethiprole-exposed honeybees, indicating that a sublethal dose of ethiprole also induced oxidative stress in honeybees. In the 1 × 10 -3  mg/L ethiprole-exposure group, the expression of pathogen recognition-related gene PGRP-4300 was upregulated 11.10 ± 0.45-fold, and that of detoxification-related gene CYP4G11 was upregulated 8.84 ± 0.11-fold, indicating that ethiprole induced an immune reaction in honeybees. To the best our knowledge, this study represents the first demonstration that sublethal concentrations of ethiprole inhibit honeybee development and activate honeybee defense and immune systems.

The use of modern technology is becoming part of both industry and agriculture. These technologies can also be used in beekeeping, where they can help to monitor the operation of the hive remotely. Beekeepers can remotely monitor the weight of their hives, their temperature, humidity, and other parameters. The aim of this paper is to map the beekeepers in the use of products with monitoring system for remote bee detection in beekeeping in Czechia. To map the issue, qualitative research using semi-structured interviews was conducted with beekeepers, manufacturers/providers of smart devices in beekeeping, and other entities involved in beekeeping. The findings showed that the interest of manufacturers and sellers to offer these smart devices is significant, but the interest of beekeepers is rather less, due to e.g., the purchase price, weaker IT knowledge, traditional beekeeping practices, higher age of beekeepers and the joy of being personally with bees. The novelty of the paper is not to look at the provision of ICT in beekeeping from a technical perspective, but from the perspective of users (beekeepers) and manufacturers of these technologies. Through interviews with beekeepers as well as others in the apiculture sphere, a comprehensive view of the issue is developed. Moreover, this is the first piece of research on this area in Czechia. [ABSTRACT FROM AUTHOR]

Species of migrating insects use magnetic fields as a navigational tool that is independent of current weather conditions and non-migrating species have been shown to discriminate anomalies in magnetic field from the earth's baseline. Honey bee discrimination of magnetic field has been studied in the context of associative learning, physiology, and whole hive responses. This article uses a combination of free-flight and laboratory studies to determine how small fluctuations from Earth's magnetic field affect honey bee (Apis mellifera L.) decision-making. Honey bees were tested in three experiments: (i) recruitment to an aqueous sucrose feeder, (ii) an artificial free-flight flower patch with floral color-dependent magnetic field strength, and (iii) a Y-maze with alternating colors on a stronger magnetic field. In free-flying feeder experiments, magnetic field served as a temporary cue, but when offered an equal caloric alternative with lesser magnetic field, the latter was preferred. Flower patch experiments showed initial color biases that were abandoned as a response to magnetic field induction. In laboratory experiments, bees showed a color-dependent behavioral response to the magnetic field. The results of this study indicate that bees may use small fluctuations in magnetic fields as a cue but that it is likely low-value as compared with other stimuli. Bioelectromagnetics. 2020;41:458-470. © 2020 Bioelectromagnetics Society., (© 2020 Bioelectromagnetics Society.)

In this work, we disclose a non-invasive method for the monitoring and predicting of the swarming process within honeybee colonies, using vibro-acoustic information. Two machine learning algorithms are presented for the prediction of swarming, based on vibration data recorded using accelerometers placed in the heart of honeybee hives. Both algorithms successfully discriminate between colonies intending and not intending to swarm with a high degree of accuracy, over 90% for each method, with successful swarming prediction up to 30 days prior to the event. We show that instantaneous vibrational spectra predict the swarming within the swarming season only, and that this limitation can be lifted provided that the history of the evolution of the spectra is accounted for. We also disclose queen toots and quacks, showing statistics of the occurrence of queen pipes over the entire swarming season. From this we were able to determine that (1) tooting always precedes quacking, (2) under natural conditions there is a 4 to 7 day period without queen tooting following the exit of the primary swarm, and (3) human intervention, such as queen clipping and the opening of a hive, causes strong interferences with important mechanisms for the prevention of simultaneous rival queen emergence.

Lactic acid bacteria (LAB) are widely distributed in nature and, due to their beneficial effects on the host, are used as probiotics. This review describes the applications of LAB in animal production systems such as beekeeping, poultry, swine and bovine production, particularly as probiotics used to improve health, enhance growth and reproductive performance. Given the importance of honeybees in nature and the beekeeping industry as a producer of healthy food worldwide, the focus of this review is on the coexistence of LAB with honeybees, their food and environment. The main LAB species isolated from the beehive and their potential technological use are described. Evidence is provided that 43 LAB bacteria species have been isolated from beehives, of which 20 showed inhibition against 28 species of human and animal pathogens, some of which are resistant to antibiotics. Additionally, the presence of LAB in the beehive and their relationship with antibacterial properties of honey and pollen is discussed. Finally, we describe the use of lactic bacteria from bee colonies and their antimicrobial effect against foodborne pathogens and human health. This review broadens knowledge by highlighting the importance of honeybee colonies as suppliers of LAB and functional food., (© 2019 The Society for Applied Microbiology.)

The paper analyzed the evolution animal sector regarding livestock and production in Romania in the period 2007-2020. Two sub-periods: P1- 2007-2013 and P2 2014-2020 were compared for assessing if the achievements in P2 were superior. The data from the National Institute of statistics regarding livestock and production by species were processed using fixed basis index, structural index, regression equations, coefficient of determination, multi annual mean per decade, absolute and relative differences between P2 and P1, in order to emphasize the trends and changes during the studied period. The results emphasized the following: the number of bovines, pigs and poultry decreased, while the number of sheep and goats and bee families increased both in P2 and P1. The total animal live weight at slaughter diminished due to the lower and lower live weight of bovines and pigs. However, the increased live weight at slaughter of sheep, goats and poultry had a positive impact. Milk and egg production declined and continued in P2, while wool and honey production increased. Despite that agricultural production value in animal sector increased by +20,420 trillion Lei in 2020 versus 2007, it was by 68.61% smaller than the agricultural production value achieved in the vegetal sector. In consequence, the contribution of animal sector to agricultural output was just 31.39% in the year 2020. The gaps in domestic production have to be covered by imports to meet consumers' requirements and this will deepen the deficit in agro-food trade balance. The reduction of CO2 emissions in agriculture, where 50% come from animal sector, obliges farmers to set up strategies destined to promote animal products obtained from more environment friendly technologies. [ABSTRACT FROM AUTHOR]

Solitary bees are in constant decline due to climate change, pesticide toxicity, and habitat loss. Provision of nesting sites is an important conservation strategy. Various factors affect bee nesting, including parasitism, entrance orientation, nesting substrate type, and diameter. This study explored the impact of nesting substrate, cavity diameter, and entrance orientation on solitary bee nesting preferences. Additionally, it investigated the influence of landscape type and seasonality on bee nesting efficiency which is the ability of a bee to successfully establish nest. Trap nests were placed at eight locations, representing five landscapes (forest, desert, agriculture, peri-urban, and urban). These trap nests had five different nesting substrates (bamboo reeds, wooden blocks, wooden logs, mud blocks, and paper tubes). At each location, four traps were set in all directions. The results showed maximum cavity occupation in south-facing nests. Peri-urban landscapes were the most favored for nesting, followed by forests. Solitary bees primarily preferred bamboo reeds for nesting, with peak occupation from April to June. Bees favored cavities with 6- and 8-mm entrance diameters, while wasps occupied smaller diameters (< 5 mm). Overall, bee species occupied fewer nests compared to parasitic wasps. Future research should explore brood chamber numbers and species-specific nesting preferences for bees, along with the impact of cavity microclimate on bee growth. [ABSTRACT FROM AUTHOR]

Winter is the season of main concern for beekeepers since the temperature, humidity, and potential infection from mites and other diseases may lead the colony to death. As a consequence, beekeepers perform invasive checks on the colonies, exposing them to further harm. This paper proposes a novel design of an instrumented beehive involving color cameras placed inside the beehive and at the bottom of it, paving the way for new frontiers in beehive monitoring. The overall acquisition system is described focusing on design choices towards an effective solution for internal, contactless, and stress-free beehive monitoring. To validate our approach, we conducted an experimental campaign in 2023 and analyzed the collected images with YOLOv8 to understand if the proposed solution can be useful for beekeepers and what kind of information can be derived from this kind of monitoring, including the presence of Varroa destructor mites inside the beehive. We experimentally found that the observation point inside the beehive is the most challenging due to the frequent movements of the bees and the difficulties related to obtaining in-focus images. However, from these images, it is possible to find Varroa destructor mites. On the other hand, the observation point at the bottom of the beehive showed great potential for understanding the overall activity of the colony. [ABSTRACT FROM AUTHOR]

Delivery apps are experiencing significant growth, requiring efficient algorithms to coordinate transportation and generate profits. One problem that considers the goals of delivery apps is the multi-vehicle profitable pickup and delivery problem (MVPPDP). In this paper, we propose eight new metaheuristics to improve the initial solutions for the MVPPDP based on the well-known swarm intelligence algorithm, Artificial Bee Colony (ABC): K-means-GRASP-ABC(C)S1, K-means-GRASP-ABC(C)S2, Modified K-means-GRASP-ABC(C)S1, Modified K-means-GRASP-ABC(C)S2, ACO-GRASP-ABC(C)S1, ACO-GRASP-ABC(C)S2, ABC(S1), and ABC(S2). All methods achieved superior performance in most instances in terms of processing time. For example, for 250 customers, the average times of the algorithms was 75.9, 72.86, 79.17, 73.85, 76.60, 66.29, 177.07, and 196.09, which were faster than those of the state-of-the-art methods that took 300 s. Moreover, all proposed algorithms performed well on small-size instances in terms of profit by achieving thirteen new best solutions and five equal solutions to the best-known solutions. However, the algorithms slightly lag behind in medium- and large-sized instances due to the greedy randomised strategy and GRASP that have been used in the scout bee phase. Moreover, our algorithms prioritise minimal solutions and iterations for rapid processing time in daily m-commerce apps, while reducing iteration counts and population sizes reduces the likelihood of obtaining good solution quality. [ABSTRACT FROM AUTHOR]

Previous works have proposed various techniques to address the premature convergence problem, where candidate solutions get trapped in local optima instead of reaching the global optimum. This has been tackled using different selection methods in metaheuristic search algorithms. However, while much of the literature focuses on either the search operators or the creation of algorithm variants, research indicates that the effectiveness of the search procedure depends on both the search operators and the selection methods. Incorporating problem-specific functional weights enhances dynamic adaptation to data patterns, reflects data relevance, and improves generalization. This paper offers an enhanced Artificial Bee Colony algorithm including functional weights and a modified selection strategy (ABC-FWMSS) to prioritize features, aiming to achieve an optimal solution and a dynamic balance between exploration and exploitation. The exploration ability of the Artificial Bee Colony is enhanced using pretrained model functional weights during the employed bee phase, while its exploitative capabilities are boosted using tournament selection and employed bee index during the onlooker bee phase. This approach dynamically balances exploration and exploitation. The proposed method achieved 96% precision on the 20 Newsgroups dataset, with the highest fitness score and a 48.8% drop in the number of selected features. [ABSTRACT FROM AUTHOR]

This paper is intended to study the legal protection of the Maltese honey bee (Apis mellifera ruttneri) from the point of view of preserving Maltese biodiversity, and more specifically the honey bee's genetic status. The primary aim is to establish whether and how theMaltese honey bee can be protected, specifically through the banning of imports of foreign Apis mellifera subspecies. States are under the general legal obligation of protecting their biodiversity. Member States (MS) of the European Union (EU) EU MS have more specific obligations to do so under EU law. However, Yet conservation of biodiversity under EU law cannot be used to restrict the freedom of movement of goods unless this is done for very restrictive and specific reasons outlined under the EU treaties. This paper will be split into three broad sections. The first establishes whether there are legal obligations to protect the Maltese honey bee imposed on the Maltese government. The second considers whether such protection can be legally justified under EU law, including through banning imports of foreign subspecies of the Apis mellifera species. The third reviews the different methods available to protect the honey bee through the banning of imports of foreign bees. It also incorporates a comparative study of three EU MS that have protected, or are in the process of protecting, a bee native to their territories. [ABSTRACT FROM AUTHOR]

The artificial bee colony algorithm (ABC) is a promising metaheuristic algorithm for continuous optimization problems, but it performs poorly in solving discrete problems. To address this issue, this paper proposes a hybrid discrete artificial bee colony (HDABC) algorithm based on label similarity for the point-feature label placement (PFLP) problem. Firstly, to better adapt to PFLP, we have modified the update mechanism for employed bees and onlooker bees. Employed bees learn the label position of the better individuals, while onlooker bees perform dynamic probability searches using two neighborhood operators. Additionally, the onlooker bees' selection method selects the most promising solutions based on label similarity, which improves the algorithm's search capabilities. Finally, the Metropolis acceptance strategy is replaced by the original greedy acceptance strategy to avoid the premature convergence problem. Systematic experiments are conducted to verify the effectiveness of the neighborhood solution generation method, the selection operation based on label similarity, and the Metropolis acceptance strategy in this paper. In addition, experimental comparisons were made at different instances and label densities. The experimental results show that the algorithm proposed in this paper is better or more competitive with the compared algorithm. [ABSTRACT FROM AUTHOR]

Simple Summary: Bees are important pollinators that play a role in balancing ecosystems; however, their survival rates have decreased due to many factors, including pathogens and exposure to pesticides. Bees have native mechanisms to help them tackle such challenges, and yet, these may not be enough. To this end, gut symbionts are beneficial, as they can help stimulate bees' immune systems and detoxify ingested toxic chemicals. To enhance the efficiency of these mechanisms, genetic engineering is proposed in this work to further optimize the ability of bee gut symbionts, particularly in the dominant bacteria Snodgrassella alvi and Gilliamella apicola. Engineering strategies are discussed according to the gut symbiotic bacteria's main roles in digestion, essential nutrient provision, and pesticide detoxification. Bees play a crucial role as pollinators, contributing significantly to ecosystems. However, the honeybee population faces challenges such as global warming, pesticide use, and pathogenic microorganisms. Promoting bee growth using several approaches is therefore crucial for maintaining their roles. To this end, the bacterial microbiota is well-known for its native role in supporting bee growth in several respects. Maximizing the capabilities of these microorganisms holds the theoretical potential to promote the growth of bees. Recent advancements have made it feasible to achieve this enhancement through the application of genetic engineering. In this review, we present the roles of gut symbionts in promoting bee growth and collectively summarize the engineering approaches that would be needed for future applications. Particularly, as the engineering of bee gut symbionts has not been advanced, the dominant gut symbiotic bacteria Snodgrassella alvi and Gilliamella apicola are the main focus of the paper, along with other dominant species. Moreover, we propose engineering strategies that will allow for the improvement in bee growth with listed gene targets for modification to further encourage the use of engineered gut symbionts to promote bee growth. [ABSTRACT FROM AUTHOR]

Bee surveys bring valuable information regarding species distribution, phenology, and their interactions with host plants, and thus are important to bee conservation, especially in the present scenario of drastic declines reported worldwide. The Brazilian bee fauna has been surveyed intensively since the late 1960s, but the state-of-the-art of this research topic has not been explored in detail. Our main goal is to analyze the scientific literature through a systematic review of Brazilian bee surveys, describing (i) spatial sampling gaps; (ii) preferred sampling frequency and methods; (iii) species identification and vouchering practices; (iv) gender participation; and (v) how the studies are distributed among scientific journals. Our review includes 213 published studies, of which half targeted the entire bee fauna (Apoidea: Apidae sensu lato) while the other half targeted the orchid bees (Euglossini). Sampling sites are predominant in eastern Brazil, particularly within the Atlantic Forest. Hand netting bees for 1 year long was the most frequent sampling protocol to capture bees. Taxonomic identification and voucher deposition practices were mentioned in most of the papers. Men and women published almost the same number of papers, but women were less frequent as lead or senior authors and appeared less as prolific researchers. Most papers were published in a few Brazilian journals. We highlight that surveys in understudied areas are needed, especially in Amazon. Monitoring bees in previously surveyed locations is also encouraged to investigate temporal changes in bee assemblages, such as population declines, impacts of land-use changes, and effects of climate change. [ABSTRACT FROM AUTHOR]

In this paper, a novel Artificial Bee Colony algorithm is proposed to solve a variant of the Job Shop Scheduling Problem where only an interval of possible processing times is known for each operation. The solving method incorporates a diversification strategy based on the seasonal behaviour of bees. That is, the bees tend to explore more at the beginning of the search (spring) and be more conservative towards the end (summer to winter). This new strategy helps the algorithm avoid premature convergence, which appeared to be an issue in previous papers tackling the same problem. A thorough parametric analysis is conducted and a comparison of different seasonal models is performed on a set of benchmark instances from the literature. The results illustrate the benefit of using the new strategy, improving the performance of previous ABC-based methods for the same problem. An additional study is conducted to assess the robustness of the solutions obtained under different ranking operators, together with a sensitivity analysis to compare the effect that different levels of uncertainty have on the solutions' robustness. [ABSTRACT FROM AUTHOR]

Copyright of Historia Agraria is the property of Historia Agraria and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)