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1
Holst, Niels, and William Meikle. "Breakfast Canyon Discovered in Honeybee Hive Weight Curves." Insects 9, no. 4 (December 1, 2018): 176. http://dx.doi.org/10.3390/insects9040176.
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Electronic devices to sense, store, and transmit data are undergoing rapid development, offering an ever-expanding toolbox for inventive minds. In apiculture, both researchers and practitioners have welcomed the opportunity to equip beehives with a variety of sensors to monitor hive weight, temperature, forager traffic and more, resulting in huge amounts of accumulated data. The problem remains how to distil biological meaning out of these data. In this paper, we address the analysis of beehive weight monitored at a 15-min resolution over several months. Inspired by an overlooked, classic study on such weight curves we derive algorithms and statistical procedures to allow biological interpretation of the data. Our primary finding was that an early morning dip in the weight curve (‘Breakfast Canyon’) could be extracted from the data to provide information on bee colony performance in terms of foraging effort. We include the data sets used in this study, together with R scripts that will allow other researchers to replicate or refine our method.
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Pohorecka, Krystyna, Tomasz Kiljanek, Maja Antczak, Piotr Skubida, Piotr Semkiw, and Andrzej Posyniak. "Amitraz marker residues in honey from honeybee colonies treated with Apiwarol." Journal of Veterinary Research 62, no. 3 (October 23, 2018): 297–301. http://dx.doi.org/10.2478/jvetres-2018-0043.
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AbstractIntroductionAmitraz is a formamide exhibiting both acaricidal and insecticidal activity and is frequently used by beekeepers to protect honeybee colonies against Varroa destructor mites. The aim of this apiary trial was to evaluate the impact of honeybee colony fumigation with amitraz on the level of contamination of honey stored in combs.Material and MethodsExperimental colonies were fumigated four times every four days with one tablet of Apiwarol per treatment. Honey was sampled from combs of brood chambers and combs of supers one day after each amitraz application and from harvested honey. Amitraz marker residues (as a total of amitraz and metabolites containing parts of molecules with properties specific to the 2,4-DMA group, expressed as amitraz) were evaluated in honey.ResultsAll analysed samples were contaminated with amitraz metabolites. 2,4-DMA and DMPF were the most frequently determined compounds. The average concentration of amitraz marker residue in honey from groups where a smouldering tablet was located directly in beehives was significantly higher than that of residue in honey from groups with indirect smoke generation. No significant effect on the honey contamination deriving from the place where it was exposed to smoke (combs of brood chambers and supers) was noted. Amitraz marker residues exceeded the MRL in 10% of honey samples from combs.ConclusionFumigation of beehives with amitraz results in contamination of honey stored in combs.
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López-Fernández, Luis, Susana Lagüela, Pablo Rodríguez-Gonzálvez, José Martín-Jiménez, and Diego González-Aguilera. "Close-Range Photogrammetry and Infrared Imaging for Non-Invasive Honeybee Hive Population Assessment." ISPRS International Journal of Geo-Information 7, no. 9 (August 26, 2018): 350. http://dx.doi.org/10.3390/ijgi7090350.
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Close-range photogrammetry and thermographic imaging techniques are used for the acquisition of all the data needed for the non-invasive assessment of a honeybee hive population. Temperature values complemented with precise 3D geometry generated using novel close-range photogrammetric and computer vision algorithms are used for the computation of the inner beehive temperature at each point of its surface. The methodology was validated through its application to three reference beehives with different population levels. The temperatures reached by the exterior surfaces of the hives showed a direct correlation with the population level. In addition, the knowledge of the 3D reality of the hives and the position of each temperature value allowed the positioning of the bee colonies without the need to open the hives. This way, the state of honeybee hives regarding the growth of population can be estimated without disturbing its natural development.
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Keller, K. M., M. V. Deveza, A. S. Koshiyama, W. S. Tassinari, O. M. Barth, R. N. Castro, and M. C. Lorenzon. "Fungi infection in honeybee hives in regions affected by Brazilian sac brood." Arquivo Brasileiro de Medicina Veterinária e Zootecnia 66, no. 5 (October 2014): 1471–78. http://dx.doi.org/10.1590/1678-6997.
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The Brazilian Sac Brood is a disease that affects apiaries of Africanized bee hives in Brazil, thereby making them susceptible to high losses. This study investigated the pathogenicity of Africanized bee hives by the entomopathogenic fungi in a Brazilian Sac Brood endemic region. The degree of fungal contamination, presence of mycotoxins in beehive elements, and vulnerability of healthy beehives in environments subjected and not subjected to the disease were investigated. From the contaminating fungal load, species that are mycotoxin producers and pathogenic causing mortality in the bees have been isolated. The analysis of bee pollen and bee bread samples did not show the presence of the toxic pollen of Stryphnodendron (Fabaceae), which has been indicated as the causative agent of mortality in pre-pupal stage larvae. However, bee bread showed the highest correlation between substrate and fungal contamination.
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Vodovnik, Chiara, Anna-Maria Borshagovski, Sanja Maria Hakala, Matti Leponiemi, and Dalial Freitak. "Coeffects of diet and neonicotinoid exposure on honeybee mobility and food choice." Apidologie 52, no. 3 (April 8, 2021): 658–67. http://dx.doi.org/10.1007/s13592-021-00853-x.
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AbstractMalnutrition and pesticide exposure are severe factors contributing to the current losses of honeybee colonies. As these stressors often occur combined, we studied the synergistic effects of different diets and pesticide exposure on food choice and mobility of Apis mellifera. We fed beehives with different food sources and exposed the bees to sublethal doses of thiacloprid. After that three different types of honey and pollen were offered in separate choice assays and behaviour towards food was recorded. Thiacloprid significantly affected the food choice in the honey assay, increasing the bees’ preference of polyfloral honey, while pre-pesticide diet had no influence. The pollen choice remained similar regardless of treatments, as bees always preferred polyfloral pollen. Interestingly, pesticide exposure affected bee mobility differently, depending on the previous diet. These results indicate that the diet is an important factor influencing the susceptibility to pesticides.
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Kolankaya, D., B. Erkmen, K. Sorkun, and O. Koçak. "Pesticide residues in honeybees and some honeybee products in turkey." Pesticidi 17, no. 1-2 (2002): 73–84. http://dx.doi.org/10.2298/pif0202073k.
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In this study, residues of organochlorine (??) and organophosphate (OP) insecticides such as malathion, coumaphos and amitraz (used for the control of varroa) were analyzed on honey and pollen. Also, the residues of carbosulfan and carbaryl (that are used for the control of hazelnut's pest) were determined on honey bee. Honey and pollen samples were taken from beehives, and dead honeybees were collected from Akcakoca/Sakarya Region were insecticides for control of haselnut pests were used. Extracts obtained for ?? insecticides were analysed for 13 compound residues including a and -BHC, lindane, aldrin, dieldrin, endrin, DDT and its derivatives (pp'DDT op'DDD, op'DDT, op'DDE and pp'DDE), heptachlor, and heptachlorepoxide by gas chromatography, using electron capture detector (ECD). OP insecticides in honey, pollen and propolis, and carbosulfan and carbaryl in honeybees were analysed by gas chromatography, using phosphate ionisation detector (FID). Residues of DDT and its derivatives, as well as the residues of aldrin endrin and dieldrin were detected in 6 of the 16 honey samples, and in 2 of the 8 pollen samples, in honey and pollen samples 10 of 13 ? pesticides were found at detectable levels, but the same pesticides were not detectable in propolis samples Detected residues were in ppb's and below the level of toxicity. According to the data obtained, one pollen sample was found to have more kinds of pesticides than the honey. This indicates that the ?? pesticides, before use during the blooming season of the areas where the honeybees wander about, had contaminated pollens and plants; and as a result, these pesticides and their metabolites are still present in honey and pollen due to their persistence, although they have not been used recently. Malathion, coumaphos and amitraz residues were detected at very low levels (0.007, 0.001 and 0.003 ppb, respectively) in one of the 16 pollen samples. Malathion, coumaphos and amitraz residues were not detected in any of the honey or propolis samples. Carbosulfan and carbaryl were detected in dead honeybees, which had been collected from 7 different stations in Akcakoca/Sakarya region.
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Datta, Samik, James C. Bull, Giles E. Budge, and Matt J. Keeling. "Modelling the spread of American foulbrood in honeybees." Journal of The Royal Society Interface 10, no. 88 (November 6, 2013): 20130650. http://dx.doi.org/10.1098/rsif.2013.0650.
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We investigate the spread of American foulbrood (AFB), a disease caused by the bacterium Paenibacillus larvae , that affects bees and can be extremely damaging to beehives. Our dataset comes from an inspection period carried out during an AFB epidemic of honeybee colonies on the island of Jersey during the summer of 2010. The data include the number of hives of honeybees, location and owner of honeybee apiaries across the island. We use a spatial SIR model with an underlying owner network to simulate the epidemic and characterize the epidemic using a Markov chain Monte Carlo (MCMC) scheme to determine model parameters and infection times (including undetected ‘occult’ infections). Likely methods of infection spread can be inferred from the analysis, with both distance- and owner-based transmissions being found to contribute to the spread of AFB. The results of the MCMC are corroborated by simulating the epidemic using a stochastic SIR model, resulting in aggregate levels of infection that are comparable to the data. We use this stochastic SIR model to simulate the impact of different control strategies on controlling the epidemic. It is found that earlier inspections result in smaller epidemics and a higher likelihood of AFB extinction.
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Woodring, Joseph, Marion Boulden, Subrata Das, and Gerd Gäde. "Studies on blood sugar homeostasis in the honeybee (Apis mellifera, L.)." Journal of Insect Physiology 39, no. 1 (January 1993): 89–97. http://dx.doi.org/10.1016/0022-1910(93)90022-j.
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Saelao, Perot, Renata S. Borba, Vincent Ricigliano, Marla Spivak, and Michael Simone-Finstrom. "Honeybee microbiome is stabilized in the presence of propolis." Biology Letters 16, no. 5 (May 2020): 20200003. http://dx.doi.org/10.1098/rsbl.2020.0003.
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Honeybees have developed many unique mechanisms to help ensure the proper maintenance of homeostasis within the hive. One method includes the collection of chemically complex plant resins combined with wax to form propolis, which is deposited throughout the hive. Propolis is believed to play a significant role in reducing disease load in the colony due to its antimicrobial and antiseptic properties. However, little is known about how propolis may interact with bee-associated microbial symbionts, and if propolis alters microbial community structure. In this study, we found that propolis appears to maintain a stable microbial community composition and reduce the overall taxonomic diversity of the honeybee microbiome. Several key members of the gut microbiota were significantly altered in the absence of propolis, suggesting that it may play an important role in maintaining favourable abundance and composition of gut symbionts. Overall, these findings suggest that propolis may help to maintain honeybee colony microbial health by limiting changes to the overall microbial community.
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Paoli, Marco, and Giovanni C. Galizia. "Olfactory coding in honeybees." Cell and Tissue Research 383, no. 1 (January 2021): 35–58. http://dx.doi.org/10.1007/s00441-020-03385-5.
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Abstract With less than a million neurons, the western honeybee Apis mellifera is capable of complex olfactory behaviors and provides an ideal model for investigating the neurophysiology of the olfactory circuit and the basis of olfactory perception and learning. Here, we review the most fundamental aspects of honeybee’s olfaction: first, we discuss which odorants dominate its environment, and how bees use them to communicate and regulate colony homeostasis; then, we describe the neuroanatomy and the neurophysiology of the olfactory circuit; finally, we explore the cellular and molecular mechanisms leading to olfactory memory formation. The vastity of histological, neurophysiological, and behavioral data collected during the last century, together with new technological advancements, including genetic tools, confirm the honeybee as an attractive research model for understanding olfactory coding and learning.
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CORNOIU, Ilie, Ionel TOADER, Ovidiu MAGHIAR, and Mirela CADAR. "Contribution Concerning the Behaviour Knowledge before Natural Swarming in Honeybees (Apis mellifera carpathica, Linnaeus)." Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca. Animal Science and Biotechnologies 77, no. 1 (May 26, 2020): 15. http://dx.doi.org/10.15835/buasvmcn-asb:0014.19.
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In this study we followed the way in which evolves the behaviour of some honeybee families (Apis mellifera carpathica, Linnaeus), maintained in vertical beehives (modified Dadant type), in conditions of stationary bee keeping, having in view the natural queen cell’s build rhythm after the second acacia tree harvest (Robinia pseudoacacia L.) in Jucu area of Cluj County. There were taken into observation 20 biological units with queen bees of different ages. It was monitored the development rhythm of natural queen cells, which are in attendance by the working bees, and to put into evidence the swarming instinct strength, so in bee keeping practice to be known and to be avoided the natural swarming. The determination of occupied surfaces with covered brood and larval was effected with the Netz framework. The aim of our study was to understand how the swarming in honeybees occurs. By detailed observation, we want to describe and to explain the behaviour of honeybees before the swarming process. The obtained results are quantified in absolute values and expressed graphically in relative values, but in the next three apicultural years (2020, 2021 and 2022), the experiment will be repeated for a variance analysis, which will provide a statistical assurance. We hope that these data will give contribution for the apicultural practice, keeping attention on queen bees’ importance during active season and on careful supervision on development rhythm of the honeybee units during the natural swarming.
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Kulyukin, Vladimir, and Sarbajit Mukherjee. "On Video Analysis of Omnidirectional Bee Traffic: Counting Bee Motions with Motion Detection and Image Classification." Applied Sciences 9, no. 18 (September 7, 2019): 3743. http://dx.doi.org/10.3390/app9183743.
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Omnidirectional bee traffic is the number of bees moving in arbitrary directions in close proximity to the landing pad of a given hive over a given period of time. Video bee traffic analysis has the potential to automate the assessment of omnidirectional bee traffic levels, which, in turn, may lead to a complete or partial automation of honeybee colony health assessment. In this investigation, we proposed, implemented, and partially evaluated a two-tier method for counting bee motions to estimate levels of omnidirectional bee traffic in bee traffic videos. Our method couples motion detection with image classification so that motion detection acts as a class-agnostic object location method that generates a set of regions with possible objects and each such region is classified by a class-specific classifier such as a convolutional neural network or a support vector machine or an ensemble of classifiers such as a random forest. The method has been, and is being iteratively field tested in BeePi monitors, multi-sensor electronic beehive monitoring systems, installed on live Langstroth beehives in real apiaries. Deployment of a BeePi monitor on top of a beehive does not require any structural modification of the beehive’s woodenware, and is not disruptive to natural beehive cycles. To ensure the replicability of the reported findings and to provide a performance benchmark for interested research communities and citizen scientists, we have made public our curated and labeled image datasets of 167,261 honeybee images and our omnidirectional bee traffic videos used in this investigation.
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Kady, Charbel, Anna Maria Chedid, Ingred Kortbawi, Charles Yaacoub, Adib Akl, Nicolas Daclin, François Trousset, François Pfister, and Gregory Zacharewicz. "IoT-Driven Workflows for Risk Management and Control of Beehives." Diversity 13, no. 7 (June 29, 2021): 296. http://dx.doi.org/10.3390/d13070296.
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The internet of things (IoT) and Industry 4.0 technologies are becoming widely used in the field of apiculture to enhance honey production and reduce colony losses using connected scales combined with additional data, such as relative humidity and internal temperature. This paper exploits beehive weight measurements and builds appropriate business rules using two instruments. The first is an IoT fixed scale installed on one hive, taking rich continuous measurements, and used as a reference. The second is a portable nomad scale communicating with a smartphone and used for the remaining hives. A key contribution will be the run and triggering of a business process model based on apicultural business rules learned from experience and system observed events. Later, the evolution of the weight of each individual hive, obtained by either measurement or inference, will be associated with a graphical workflow diagram expressed with the business process model and notation (BPMN) language, and will trigger events that inform beekeepers to initiate relevant action. Finally, the BPMN processes will be transformed into executable models for model driven decision support. This contribution improves amateur and professional user-experience for honeybee keeping and opens the door for interoperability between the suggested model and other available simulations (weather, humidity, bee colony behavior, etc.).
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Audisio, M., and M. Benítez-Ahrendts. "Lactobacillus johnsonii CRL1647, isolated from Apis mellifera L. bee-gut, exhibited a beneficial effect on honeybee colonies." Beneficial Microbes 2, no. 1 (March 1, 2011): 29–34. http://dx.doi.org/10.3920/bm2010.0024.
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Lactobacillus johnsonii CRL1647, isolated from the intestinal tract of a honeybee and selected due to its high lactic acid production, was assayed as a monoculture on bee colony performance. It was delivered to the bees on a one litre of 125 g/l sugar-cane syrup with a final concentration of 105 cfu/ml lactobacilli. The bees accepted the new nourishment, which was consumed within 24-48 h and was administered in two independent trials (every 14-15 days for 3 consecutive months in one case, and once a month for 13 consecutive months in the other). From late spring – early summer (2008) the photo-records and statistical analyses revealed significant differences in the open and the operculated brood areas in the treated group compared with the control. This stimulation was observed after the first administration of the lactobacilli and maintained throughout. Also, a higher number of bees were measured in the treated group (54%) and the control (18%) with respect to the initial bees' number. Furthermore, honey storage was higher, 40% and 19%, for the treated and control groups, respectively. From December 2008 to December 2009, a similar situation was observed even though, in this trial, the lactobacilli cells were administered once a month. The in vivo results of this study are promising and indicate that a L. johnsonii CRL1647 supplement to beehives favours mainly open and operculated brood areas, demonstrating a stronger stimulation of egg-laying and will become a natural product which will assist the beekeeper both in colony management and the creation of late nuclei and/or bee packages due to its beneficial effects in the beehive colony.
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Clarke, GM, GW Brand, and MJ Whitten. "Fluctuating Asymmetry: A Technique for Measuring Developmental Stress Caused by Inbreeding." Australian Journal of Biological Sciences 39, no. 2 (1986): 145. http://dx.doi.org/10.1071/bi9860145.
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Fluctuating asymmetry has sometimes been employed to indicate disruption of developmental homeostasis. Such disruption is thought to be a result of increased developmental stress. In this study we examine the relationship between fluctuating asymmetry and inbreeding level in two differing breeding systems: the marine harpacticoid copepod Tisbe holothuriae, a typically outbreeding diploid, and the common honeybee Apis melli/era, which is haplo-diploid. Inbreeding has previously been shown to constitute a developmental stress in populations of T. holothuriae, but the same is yet to be conclusively shown in A. melli/era.
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Stabentheiner, Anton, Helmut Kovac, Monika Mandl, and Helmut Käfer. "Coping with the cold and fighting the heat: thermal homeostasis of a superorganism, the honeybee colony." Journal of Comparative Physiology A 207, no. 3 (February 17, 2021): 337–51. http://dx.doi.org/10.1007/s00359-021-01464-8.
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AbstractThe worldwide distribution of honeybees and their fast propagation to new areas rests on their ability to keep up optimal ‘tropical conditions’ in their brood nest both in the cold and in the heat. Honeybee colonies behave like ‘superorganisms’ where individuals work together to promote reproduction of the colony. Social cooperation has developed strongly in thermal homeostasis, which guarantees a fast and constant development of the brood. We here report on the cooperation of individuals in reaction to environmental variation to achieve thermal constancy of 34–36 °C. The measurement of body temperature together with bee density and in-hive microclimate showed that behaviours for hive heating or cooling are strongly interlaced and differ in their start values. When environmental temperature changes, heat production is adjusted both by regulation of bee density due to migration activity and by the degree of endothermy. Overheating of the brood is prevented by cooling with water droplets and increased fanning, which start already at moderate temperatures where heat production and bee density are still at an increased level. This interlaced change and onset of different thermoregulatory behaviours guarantees a graded adaptation of individual behaviour to stabilise the temperature of the brood.
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Cabbri, Riccardo, Enea Ferlizza, Elisa Bellei, Giulia Andreani, Roberta Galuppi, and Gloria Isani. "A Machine Learning Approach to Study Demographic Alterations in Honeybee Colonies Using SDS–PAGE Fingerprinting." Animals 11, no. 6 (June 18, 2021): 1823. http://dx.doi.org/10.3390/ani11061823.
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Honeybees, as social insects, live in highly organised colonies where tasks reflect the age of individuals. As is widely known, in this context, emergent properties arise from interactions between them. The accelerated maturation of nurses into foragers, stimulated by many negative factors, may disrupt this complex equilibrium. This complexity needs a paradigm shift: from the study of a single stressor to the study of the effects exerted by multiple stressors on colony homeostasis. The aim of this research is, therefore, to study colony population disturbances by discriminating overaged nurses from proper aged nurses and precocious foragers from proper aged foragers using SDS-PAGE patterns of haemolymph proteins and a machine-learning algorithm. The KNN (K Nearest Neighbours) model fitted on the forager dataset showed remarkably good performances (accuracy 0.93, sensitivity 0.88, specificity 1.00) in discriminating precocious foragers from proper aged ones. The main strength of this innovative approach lies in the possibility of it being deployed as a preventive tool. Depopulation is an elusive syndrome in bee pathology and early detection with the method described could shed more light on the phenomenon. In addition, it enables countermeasures to revert this vicious circle.
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COLES, JONATHAN A., RICHARD K. ORKAND, CAROL L. YAMATE, and MARCOS TSACOPOULOS. "Free Concentrations of Na, K, and Cl in the Retina of the Honeybee Drone: Stimulus-Induced Redistribution and Homeostasis." Annals of the New York Academy of Sciences 481, no. 1 The Neuronal (December 1986): 303–17. http://dx.doi.org/10.1111/j.1749-6632.1986.tb27160.x.
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Niyomtham, Nattisa, Sittichai Koontongkaew, Boon-ek Yingyongnarongkul, and Kusumawadee Utispan. "Apis mellifera propolis enhances apoptosis and invasion inhibition in head and neck cancer cells." PeerJ 9 (September 8, 2021): e12139. http://dx.doi.org/10.7717/peerj.12139.
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Background Propolis is a resinous product accumulated from several plant sources that possess a wide range of therapeutic properties, including anti-cancer activities. However, the role of honeybee-produced propolis on head and neck squamous carcinoma (HNSCC) is not well understood. The aim of this study was to investigate the effects of Apis mellifera propolis on apoptosis and invasiveness in HNSCC cell lines. Methods Ethyl acetate extract of propolis (EAEP) was prepared from A. mellifera beehives using liquid–liquid extraction. High-performance liquid chromatography coupled with electrospray ionization-time of flight-mass spectrometry (HPLC-ESI-TOF-MS) was used to determine the flavonoids in EAEP. Isogenic HNSCC cell lines derived from primary (HN30 and HN4) and metastatic site (HN31 and HN12) were used in this study. The cytotoxicity, apoptosis, invasion, and MMP activity of EAEP on HNSCC cells were determined using an MTT assay, flow cytometry, Matrigel invasion assay, and gelatinase zymography, respectively. Results We found that EAEP exhibited cytotoxic activity and induced apoptosis in the HNSCC cell lines. Furthermore, EAEP significantly decreased HNSCC cell invasion by reducing MMP-2 and MMP-9 activity. Two flavonoids, galangin and apigenin, were identified in EAEP by HPLC-ESI-TOF-MS. The results suggest that EAEP promotes apoptosis and exerts anti-invasion potential by inhibiting MMP-2 and MMP-9 activity in HNSCC cell lines. These inhibitory effects may be mediated by galangin and apigenin.
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Ntawuzumunsi, Elias, Santhi Kumaran, and Louis Sibomana. "Self-Powered Smart Beehive Monitoring and Control System (SBMaCS)." Sensors 21, no. 10 (May 19, 2021): 3522. http://dx.doi.org/10.3390/s21103522.
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Beekeeping in Africa has been practiced for many years through successive generations and along inherited patterns. Beekeepers continue to face challenges in accessing consistent and business-driven markets for their bee products. In addition, the honeybee populations are decreasing due to colony collapse disorder (CCD), fire, loss of bees in swarming, honey buggers and other animals, moths, starvation, cold weather, and Varoa mites. The main issues are related to un-controlled temperature, humidity, and traditional management of beekeeping. These challenges result in low production of honey and colony losses. The control of the environmental conditions within and surrounding the beehives are not available to beekeepers due to the lack of monitoring systems. A Smart Beehive System using Internet of Things (IoT) technology would allow beekeepers to keep track of the amount of honey created in their hives and bee colonies even when they are far from their hives, through mobile phones, which would curtail the challenges currently faced by the beekeepers. However, there are challenges in the design of energy-efficient embedded electronic devices for IoT. A promising solution is to provide energy autonomy to the IoT nodes that will harvest residual energy from ambient sources, such as motion, vibrations, light, or heat. This paper proposes a Self-Powered Smart Beehive Monitoring and Control System (SBMaCS) using IoT to support remote follow-up and control, enhancing bee colonies’ security and thus increasing the honey productivity. First, we develop the SBMaCS hardware prototype interconnecting various sensors, such as temperature sensor, humidity sensor, piezoelectric transducer—which will work as a weight sensor—motion sensor, and flame sensor. Second, we introduce energy harvesting models to self-power the SBMaCS by analyzing the (i) energy harvested from adult bees’ vibrations, (ii) energy harvesting through the piezoelectric transducer, and (iii) radio frequency energy harvesting. Third, we develop a mobile phone application that interacts with the SBMaCS hardware to monitor and control the various parameters related to the beehives. Finally, the SBMaCS PCB layout is also designed. SBMaCS will help beekeepers to successfully monitor and control some important smart beekeeping activities wherever they are using their mobile phone application.
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Beyene, Taye, Mekonnen Woldatsadik, and Girma Chalchissa. "Demonstration of Transitional Locally Made Beehive Around Protected Areas in Central Rift Valley of Oromia, Ethiopia." Asian Journal of Social Science Studies 3, no. 4 (October 22, 2018): 12. http://dx.doi.org/10.20849/ajsss.v3i4.495.
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The study was conducted in Adami Tulu Jido Kombolcha and Arsi Negele districts of Oromia regional state of Ethiopia with the objective of enhancing the production and productivity of beekeeping in the area through demonstration of transitional locally made beehive around protected areas. Beekeepers around protected areas were purposively selected based on their interest in beekeeping, experience in traditional beekeeping, proximity of residence to protected areas and non-addressed areas with technology dissemination activity and two farmers research groups (FRG) consisting a total of 20 members were established to conduct the demonstration of beekeeping technology. Theoretical and practical training sessions about seasonal bee management practices, intermediate beekeeping construction, implementation and honey harvesting techniques integrated to natural resources rehabilitation was given to a total of 50 beekeepers,4 district honey experts and 6 development agents. After training, twenty four transitional locally made beehives were constructed and honeybee colonies were transferred and inspected regularly undertaken to follow up the progress of the bee colonies in partnership with FRG members, experts and development agents. Both qualitative and quantitative data were collected, systematically analyzed and interpreted using descriptive statics such as percentage, mean and presented in table. Accordingly, an average of 15.4kg and 12.1kg of honey was harvested per harvesting season from transitional beehive at Adami Tulu and Arsi Negele, respectively. Therefore integration of intermediate beekeeping technology with protected areas can enhance the income of household and encourages planting of bee forages which directly contributes for sustainable forest managements. Thus government and other stakeholders at all levels should provide technical services for beekeeping to align improved beekeeping to protected areas and all best practices should be scaled up so that honey production is increased and sustained.
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Kulyukin, Vladimir, Sarbajit Mukherjee, and Prakhar Amlathe. "Toward Audio Beehive Monitoring: Deep Learning vs. Standard Machine Learning in Classifying Beehive Audio Samples." Applied Sciences 8, no. 9 (September 6, 2018): 1573. http://dx.doi.org/10.3390/app8091573.
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Electronic beehive monitoring extracts critical information on colony behavior and phenology without invasive beehive inspections and transportation costs. As an integral component of electronic beehive monitoring, audio beehive monitoring has the potential to automate the identification of various stressors for honeybee colonies from beehive audio samples. In this investigation, we designed several convolutional neural networks and compared their performance with four standard machine learning methods (logistic regression, k-nearest neighbors, support vector machines, and random forests) in classifying audio samples from microphones deployed above landing pads of Langstroth beehives. On a dataset of 10,260 audio samples where the training and testing samples were separated from the validation samples by beehive and location, a shallower raw audio convolutional neural network with a custom layer outperformed three deeper raw audio convolutional neural networks without custom layers and performed on par with the four machine learning methods trained to classify feature vectors extracted from raw audio samples. On a more challenging dataset of 12,914 audio samples where the training and testing samples were separated from the validation samples by beehive, location, time, and bee race, all raw audio convolutional neural networks performed better than the four machine learning methods and a convolutional neural network trained to classify spectrogram images of audio samples. A trained raw audio convolutional neural network was successfully tested in situ on a low voltage Raspberry Pi computer, which indicates that convolutional neural networks can be added to a repertoire of in situ audio classification algorithms for electronic beehive monitoring. The main trade-off between deep learning and standard machine learning is between feature engineering and training time: while the convolutional neural networks required no feature engineering and generalized better on the second, more challenging dataset, they took considerably more time to train than the machine learning methods. To ensure the replicability of our findings and to provide performance benchmarks for interested research and citizen science communities, we have made public our source code and our curated datasets.
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Marshall, Christian R., Joanne A. Fox, Stefanie L. Butland, B. F. Francis Ouellette, Fiona S. L. Brinkman, and Glen F. Tibbits. "Phylogeny of Na+/Ca2+ exchanger (NCX) genes from genomic data identifies new gene duplications and a new family member in fish species." Physiological Genomics 21, no. 2 (April 14, 2005): 161–73. http://dx.doi.org/10.1152/physiolgenomics.00286.2004.
Full textAbstract:
The Na+/Ca2+ exchanger (NCX) is a member of the cation/Ca2+ antiporter (CaCA) family and plays a key role in maintaining cellular Ca2+ homeostasis in a variety of cell types. NCX is present in a diverse group of organisms and exhibits high overall identity across species. To date, three separate genes, i.e., NCX1, NCX2, and NCX3, have been identified in mammals. However, phylogenetic analysis of the exchanger has been hindered by the lack of nonmammalian NCX sequences. In this study, we expand and diversify the list of NCX sequences by identifying NCX homologs from whole-genome sequences accessible through the Ensembl Genome Browser. We identified and annotated 13 new NCX sequences, including 4 from zebrafish, 4 from Japanese pufferfish, 2 from chicken, and 1 each from honeybee, mosquito, and chimpanzee. Examination of NCX gene structure, together with construction of phylogenetic trees, provided novel insights into the molecular evolution of NCX and allowed us to more accurately annotate NCX gene names. For the first time, we report the existence of NCX2 and NCX3 in organisms other than mammals, yielding the hypothesis that two serial NCX gene duplications occurred around the time vertebrates and invertebrates diverged. In addition, we have found a putative new NCX protein, named NCX4, that is related to NCX1 but has been observed only in fish species genomes. These findings present a stronger foundation for our understanding of the molecular evolution of the NCX gene family and provide a framework for further NCX phylogenetic and molecular studies.
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Jeong, Hyunju, Chanju Lee, Chenyu Cheng, Hung Chun Chou, HyeJin Yang, and Hyunsu Bae. "Targeting of adipose tissue macrophages by bee venom phospholipase A2 attenuates high-fat diet-induced obesity." International Journal of Obesity 45, no. 8 (May 4, 2021): 1656–67. http://dx.doi.org/10.1038/s41366-021-00823-4.
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Abstract Background/objectives Adipose tissue macrophages (ATMs) exist in either the M1 or M2 form. The anti-inflammatory M2 ATMs accumulate in lean individuals, whereas the pro-inflammatory M1 ATMs accumulate in obese individuals. Bee venom phospholipase A2 (bvPLA2), a major component in honeybee (Apis mellifera) venom, exerts potent anti-inflammatory effects via interactions with regulatory T cells (Treg) and macrophages. This study investigated the effects of bvPLA2 on a high-fat diet (HFD)-induced obesity in mice. Subjects/methods For in vivo experiments, male C57BL/6, CD206-deficient, and Treg-depleted mice models were fed either a normal diet 41.86 kJ (ND, 10 kcal% fat) or high-fat diet 251.16 kJ (HFD, 60 kcal% fat). Each group was i.p. injected with PBS or bvPLA2 (0.5 mg/kg) every 3 days for 11 weeks. Body weight and food intake were measured weekly. Histological changes in the white adipose tissue (WAT), liver, and kidney as well as the immune phenotypes of the WAT were examined. Immune cells, cytokines, and lipid profiles were also evaluated. The direct effects of bvPLA2 on 3T3-L1 pre-adipocytes and bone marrow-derived macrophages were measured in vitro. Results bvPLA2 markedly decreased bodyweight in HFD-fed mice. bvPLA2 treatment also decreased lipid accumulation in the liver and reduced kidney inflammation in the mice. It was confirmed that bvPLA2 exerted immunomodulatory effects through the CD206 receptor. In addition, bvPLA2 decreased M1 ATM and alleviated the M1/M2 imbalance in vivo. However, bvPLA2 did not directly inhibit adipogenesis in the 3T3-L1 adipose cells in vitro. Conclusions bvPLA2 is a potential therapeutic strategy for the management of obesity by regulating adipose tissue macrophage homeostasis.
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Manning, R. "Artificial feeding of honeybees based on an understanding of nutritional principles." Animal Production Science 58, no. 4 (2018): 689. http://dx.doi.org/10.1071/an15814.
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Artificial pollen substitutes were developed to improve productivity from honeybees during periods of nutrient scarcity. The history of pollen-substitute development is outlined. Although many attempts have been made, no substitute has the same nutritional value as bee-collected pollen. Following a review of honeybee nutrition, Black (2006) described the ingredient and nutrient specifications for a pollen substitute, including the need for attractiveness to honeybees. Protein isolates were recommended to avoid toxicity from carbohydrates found in many ingredients used in previous studies. Twenty-seven plant- and animal-derived oils and a rum supplement, mixed at 2% with a low-lipid irradiated pollen, were evaluated for attractiveness by measuring consumption and bee congregation when placed in dishes within beehives. Coconut, linseed oil and rum were preferred significantly (P < 0.05) to the pollen, whereas pollen was preferred to lavender and sage oils. Almond and evening primrose oils were also highly, but not significantly, preferred compared with pollen and were used in combinations with coconut and linseed oils in subsequent experiments. Eleven predominantly pure protein sources, either singly or in combination, were mixed with 2% or 5% attractive oils and evaluated for attractiveness. Soybean protein isolate was selected, because attractiveness was not significantly different from bee-collected pollen. It was then used with oils in an experiment to evaluate either powdered cellulose or milled oat hulls as a fibre source. There were no significant differences in attractiveness of substitutes with the two fibre sources or pollen, and powdered cellulose was selected for further use on the basis of availability. An experiment with ~1000 newly hatched bees with a fertile queen in cages was undertaken to evaluate the diets when given as the sole nutrient source. Consumption, bee longevity and estimated hypopharyngeal gland development using head weight were measured One artificial diet (PI-5) contained 30% soybean protein isolate, 10% cellulose, 42% icing sugar, 12.5% water, 4.5% mixed oils and 1.3% minerals and vitamin plus cholesterol. Diet (PI-10) was similar, but contained twice as much oil replacing icing sugar. Other treatments were redgum pollen (P), a commercial pollen substitute, Feedbee® and defatted soybean meal. Diet consumption, lifespan and head weights were significantly less for the PI diets than for P, while Feedbee® and defatted soybean-meal diets were generally intermediate. The PI diets were discovered to contain excess sodium, due to the manufacturing process. Bees consuming the PI diets had lower concentrations of magnesium, copper, iron, manganese and zinc in their bodies than did those offered P. The fatty acid content of bee bodies also varied with diet. A revised formulation is recommended with reduced sodium and modified mineral and fatty acid composition.
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Adly, D., and W. M. Marzouk. "Efficacy of the larval parasitoid, Bracon hebetor Say. (Hymenoptera: Braconidae) on the greater wax moth larvae, Galleria mellonella (L.) (Lepidoptera: Pyralidae) under laboratory and field conditions." Egyptian Journal of Biological Pest Control 29, no. 1 (December 2019). http://dx.doi.org/10.1186/s41938-019-0193-x.
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AbstractThe greater wax moth, Galleria mellonella Linnaeus (Lepidoptera: Pyralidae), is considered one of the most important pests effecting honeybee industry. The present study was carried out to evaluate the efficacy of the larval parasitoid, Bracon hebetor Say. (Hymenoptera: Braconidae), on G. mellonella in laboratory, honeybee colonies, and stored wax combs. In the laboratory studies, the pre-ovipositoinal, ovipositional, and post-ovipositional periods of the parasitoid were 0.27 ± 0.45, 20.87 ± 1.5, and 4.33 ± 0.48 days, respectively. The total number of eggs/female of the parasitoid on the 5th larval instar of G. mellonella reached 71.77 ± 7.84 eggs. B. hebetor females paralyze their hosts, the percentage of paralyzed 2nd larval instar of G. mellonella was 30% and parasitoid could not lay eggs on them, while the percentage of paralyzed 5th larval instar was 100% and parasitoid could lay eggs. In the field studies, the parasitoid, B. hebetor was released in honeybee colonies and stored wax combs to evaluate its efficacy. By releasing the parasitoid, the mean numbers of dead larvae of G. mellonella in treated honeybee colonies were greater than in the untreated, (91.8 ± 5.319 and 53.3 ± 24.373) larvae/colony, respectively. Also, releasing of B. hebetor against G. mellonella in stored wax combs reduced the number of survived G. mellonella larvae in treated storage wax combs to 3.2 ± 2.38 than in the untreated (using formic acid) 9.3 ± 5.52 larvae/store colonies. This is the first work to study efficacy of the parasitoid, B. hebetor on G. mellonella larvae in honeybee colonies and stored wax combs. The results suggested that the parasitoid had the efficacy to be used for controlling G. mellonella in beehives and stored wax comb in Egypt.
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Stefanec, Martin, Hannes Oberreiter, Matthias A. Becher, Gundolf Haase, and Thomas Schmickl. "Effects of Sinusoidal Vibrations on the Motion Response of Honeybees." Frontiers in Physics 9 (June 10, 2021). http://dx.doi.org/10.3389/fphy.2021.670555.
Full textAbstract:
Vibratory signals play a major role in the organization of honeybee colonies. Due to the seemingly chaotic nature of the mechano-acoustic landscape within the hive, it is difficult to understand the exact meaning of specific substrate-borne signals. Artificially generated vibrational substrate stimuli not only allow precise frequency and amplitude control for studying the effects of specific stimuli, but could also provide an interface for human-animal interaction for bee-keeping-relevant colony interventions. We present a simple method for analyzing motion activity of honeybees and show that specifically generated vibrational signals can be used to alter honeybee behavior. Certain frequency-amplitude combinations can induce a significant decrease and other signals might trigger an increase in honeybees’ motion activity. Our results demonstrate how different subtle local modulatory signals on the comb can influence individual bees in the local vicinity of the emitter. Our findings could fundamentally impact our general understanding of a major communication pathway in honeybee colonies. This pathway is based on mechanic signal emission and mechanic proprio-reception of honeybees in the bee colony. It is a candidate to be a technologically accessible gateway into the self-regulated system of the colony and thus may offer a novel information transmission interface between humans and honeybees for the next generation of “smart beehives” in future beekeeping.
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Stawiarz, Ernest, Beata Żuraw, and Agnieszka Marut. "Pollen sources in the Bojanów forest complex identified on honeybee pollen load by microscopic analysis." Acta Agrobotanica 70, no. 4 (November 30, 2017). http://dx.doi.org/10.5586/aa.1724.
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<p>The aim of this study was to determine sources of pollen for the honeybee in the Bojanów forest complex, Nowa Dęba Forest District (southeastern Poland). Sampling of pollen loads from bees extended from the beginning of May until the end of September 2016 and was carried out at 7-day intervals using pollen traps mounted at the entrance of beehives. A total of 73 pollen load samples were collected from the study area.</p><p>Fifty-nine taxa from 31 plant families were identified in the analyzed material. From 4 to 21 taxa (average 9.5) were recorded in one sample. The pollen of Brassicaceae (“others”), <em>Taraxacum</em> type, <em>Solidago</em> type, and <em>Rumex</em> had the highest frequency in the pollen loads examined. Apart from these four taxa, pollen grains of <em>Rubus</em> type, Poaceae (“others”), <em>Calluna</em>, <em>Fagopyrum</em>, <em>Trifolium repens</em> s. l., <em>Phacelia</em>, <em>Aster</em> type, <em>Melampyrum</em>, <em>Quercus</em>, <em>Cornus</em>, and <em>Veronica</em> were recorded in the dominant pollen group. The forest habitat taxa that provided pollen rewards to honeybees in the Bojanów forest complex were the following: <em>Rubus</em>, <em>Calluna</em>, <em>Prunus</em>, <em>Tilia</em>, <em>Frangula alnus</em>, <em>Pinus</em>, <em>Quercus</em>, <em>Cornus</em>, <em>Robinia pseudoacacia</em>, <em>Salix</em>, and <em>Vaccinium</em>. Apart from forest vegetation, the species from meadows and wastelands adjacent to this forest complex, represented by <em>Taraxacum</em>, <em>Rumex</em>, <em>Plantago</em>, Poaceae, <em>Trifolium repens</em>, and <em>Solidago</em>, proved to be an important source of pollen. The study indicates that forest communities are a valuable source of pollen for pollinating insects from early spring through to late fall.</p>
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Herren, P., L. Fieseler, D. Ambuehl, and J. Grunder. "Foodborne bacteria in raw drone brood of Apis mellifera – a preliminary survey." Journal of Insects as Food and Feed, December 3, 2020, 1–6. http://dx.doi.org/10.3920/jiff2020.0067.
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Drone brood of Apis mellifera is often removed from the beehive to control the honeybee parasite Varroa destructor. Instead of discarding the drone brood, it could rather be used as a new food source for human nutrition. However, studies on microbiological hazards caused by edible insects are rare, especially in the case of drone brood. In this survey, microbial total viable cell counts and the most common foodborne bacteria were assessed in raw drone brood. Samples were taken from 24 beehives from four apiaries in Switzerland. The drone brood combs were harvested either by the beekeepers with their personal equipment or by the researchers with sterile equipment. No difference in the total viable cell counts was found between these two methods. All samples were free of Salmonella. Viable counts of Bacillus cereus, coagulase-positive staphylococci, Enterobacteriaceae and Escherichia coli were all below the detection limits of the recommended ISO reference methods. However, Listeria monocytogenes was detected in eight samples (all <10 cfu/g), which has not been reported in edible insects until now.
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Engel, Philipp, Kelsey D. Bartlett, and Nancy A. Moran. "The Bacterium Frischella perrara Causes Scab Formation in the Gut of its Honeybee Host." mBio 6, no. 3 (May 19, 2015). http://dx.doi.org/10.1128/mbio.00193-15.
Full textAbstract:
ABSTRACT Honeybees harbor well-defined bacterial communities in their guts. The major members of these communities appear to benefit the host, but little is known about how they interact with the host and specifically how they interface with the host immune system. In the pylorus, a short region between the midgut and hindgut, honeybees frequently exhibit scab-like structures on the epithelial gut surface. These structures are reminiscent of a melanization response of the insect immune system. Despite the wide distribution of this phenotype in honeybee populations, its cause has remained elusive. Here, we show that the presence of a common member of the bee gut microbiota, the gammaproteobacterium Frischella perrara, correlates with the appearance of the scab phenotype. Bacterial colonization precedes scab formation, and F. perrara specifically localizes to the melanized regions of the host epithelium. Under controlled laboratory conditions, we demonstrate that exposure of microbiota-free bees to F. perrara but not to other bacteria results in scab formation. This shows that F. perrara can become established in a spatially restricted niche in the gut and triggers a morphological change of the epithelial surface, potentially due to a host immune response. As an intermittent colonizer, this bacterium holds promise for addressing questions of community invasion in a simple yet relevant model system. Moreover, our results show that gut symbionts of bees engage in differential host interactions that are likely to affect gut homeostasis. Future studies should focus on how these different gut bacteria impact honeybee health. IMPORTANCE As pollinators, honeybees are key species for agricultural and natural ecosystems. Their guts harbor simple communities composed of characteristic bacterial species. Because of these features, bees are ideal systems for studying fundamental aspects of gut microbiota-host interactions. However, little is known about how these bacteria interact with their host. Here, we show that a common member of the bee gut microbiota causes the formation of a scab-like structure on the gut epithelium of its host. This phenotype was first described in 1946, but since then it has not been much further characterized, despite being found in bee populations worldwide. The scab phenotype is reminiscent of melanization, a conserved innate immune response of insects. Our results show that high abundance of one member of the bee gut microbiota triggers this specific phenotype, suggesting that the gut microbiota composition can affect the immune status of this key pollinator species.
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Mattos, Silvânia V. M., Esther M. Bastos, Ilda O. Dayrell, and David L. Nelson. "Correlation between K, Mn, Fe, Cu and Zn in natural honeys from Eucalyptus sources." Brazilian Archives of Biology and Technology 41, no. 2 (1998). http://dx.doi.org/10.1590/s1516-89131998000200001.
Full textAbstract:
Thirty-five natural honey samples from three apicultural regions of the state of Minas Gerais, Brazil, were collected from honeybee hives under various climatic conditions over a two-year period. The beehives were located in the districts of Bom Jesus do Amparo, Barão de Cocais and São Gonçalo do Rio Abaixo, all within a 100 km radius of Belo Horizonte, Minas Gerais, Brazil. The pollinic spectrum, color and ash, moisture, K, Fe, Mn, Cu and Zn contents were determined. Elemental analysis were done by flame atomic absorption spectrometry. Accuracy and precision were verified by recovery tests and relative standard deviation, respectively. The mean mineral contents encountered were K = 1130; Mn = 3.88; Fe = 2.79; Zn = 2.34 and Cu = 0.54 µ g/g. During the dry season, several species of Eucalyptus pollen grains predominated, with Vernonia pollen grains present in lower abundance. In the rainy season, there was an inversion of dominance. Statistical treatment of results, separated according to comb and season, showed statistically equivalent means, although some good correlation indices (p = 0.05) were obtained, e.g. between percent Eucalyptus pollen grains and Mn content (0.450), between Fe and Zn (0.698) and between K and Mn (0.738).
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Memariani, Hamed, and Mojtaba Memariani. "Melittin as a promising anti-protozoan peptide: current knowledge and future prospects." AMB Express 11, no. 1 (May 13, 2021). http://dx.doi.org/10.1186/s13568-021-01229-1.
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AbstractProtozoan diseases such as malaria, leishmaniasis, Chagas disease, and sleeping sickness still levy a heavy toll on human lives. Deplorably, only few classes of anti-protozoan drugs have thus far been developed. The problem is further compounded by their intrinsic toxicity, emergence of drug resistance, and the lack of licensed vaccines. Thus, there is a genuine exigency to develop novel anti-protozoan medications. Over the past years, melittin, the major constituent in the venom of European honeybee Apis mellifera, has gathered the attention of researchers due to its potential therapeutic applications. Insofar as we are aware, there has been no review pertinent to anti-protozoan properties of melittin. The present review outlines the current knowledge about anti-protozoan effects of melittin and its underlying mechanisms. The peptide has proven to be efficacious in killing different protozoan parasites such as Leishmania, Plasmodium, Toxoplasma, and Trypanosoma in vitro. Apart from direct membrane-disruptive activity, melittin is capable of destabilizing calcium homeostasis, reducing mitochondrial membrane potential, disorganizing kinetoplast DNA, instigating apoptotic cell death, and induction of autophagy in protozoan pathogens. Emerging evidence suggests that melittin is a promising candidate for future vaccine adjuvants. Transmission-blocking activity of melittin against vector-borne pathogens underscores its potential utility for both transgenic and paratransgenic manipulations. Nevertheless, future research should focus upon investigating anti-microbial activities of melittin, alone or in combination with the current anti-protozoan medications, against a far broader spectrum of protozoan parasites as well as pre-clinical testing of the peptide in animal models.