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The fruit fly Drosophila melanogaster is an established model organism in chronobiology, because genetic manipulation and breeding in the laboratory are easy. The circadian clock neuroanatomy in D. melanogaster is one of the best-known clock networks in insects and basic circadian behavior has been characterized in detail in this insect. Another model in chronobiology is the honey bee Apis mellifera, of which diurnal foraging behavior has been described already in the early twentieth century. A. mellifera hallmarks the research on the interplay between the clock and sociality and complex behaviors like sun compass navigation and time-place-learning. Nevertheless, there are aspects of clock structure and function, like for example the role of the clock in photoperiodism and diapause, which can be only insufficiently investigated in these two models. Unlike high-latitude flies such as Chymomyza costata or D. ezoana, cosmopolitan D. melanogaster flies do not display a photoperiodic diapause. Similarly, A. mellifera bees do not go into “real” diapause, but most solitary bee species exhibit an obligatory diapause. Furthermore, sociality evolved in different Hymenoptera independently, wherefore it might be misleading to study the social clock only in one social insect. Consequently, additional research on non-model insects is required to understand the circadian clock in Diptera and Hymenoptera. In this review, we introduce the two chronobiology model insects D. melanogaster and A. mellifera, compare them with other insects and show their advantages and limitations as general models for insect circadian clocks.
3. Zusammenfassung Ein noch immer unvollständig verstandenes Problem sind die exakten Mechanismen der Arbeitsteilung und Koordination innerhalb von Bienenvölkern Apis mellifera. Auf der einen Seite muss die sensorische und neuronale Ausstattung jedes Individuums das Potential zur Kommunikation und Aufgabenbewältigung enthalten, zum anderen müssen jedem Bienenvolk Mechanismen zur Steuerung zur Verfügung stehen, die auch so weit in die Zukunft reichenden Notwendigkeiten wie Wintervorbereitungen zuverlässig durchführen. Die vorliegende Arbeit beleuchtet daraus ausgewählte Aspekte. Zum einen werden Aspekte der kognitiven Fähigkeiten der Einzelbienen untersucht, die im Hinblick auf ihre Rolle als sammelnde Arbeiterinnen eine wichtige Rolle spielen. Das Erkennen und Verarbeiten von Mustern spielt eine wichtige Rolle beim Auffinden von potentiellen Nahrungsquellen. Hier konnte mittels des DMTS – Paradigma ein hoher Abstraktionsgrad der Musterverarbeitung sowie eine Speicherung auch komplexer Muster gezeigt werden. Zum anderen wird die Bruttemperatur als ein Einfluss auf die Puppenentwicklung und dessen mögliche Folgen auf kognitive Fähigkeiten und Lebenshistorie untersucht. Variation der Bruttemperatur wurde in verschiedenen Zusammenhängen als starker Einfluss auf unterschiedliche Aspekte der Entwicklung gezeigt. In der vorliegenden Arbeit kann diese Bruttemperatur als möglicher Faktor der nachfolgend unterschiedlichen Ausprägung von Verhaltensmustern gezeigt werden. Dabei wird ebenso auf die Unterschiede im Verhaltensmuster von täglichen Stocktätigkeiten wie auf die resultierenden Unterschiede in der Lebensgeschichte und –spanne eingegangen, die aus unterschiedlichen Brutaufzuchtstemperaturen resultieren können. Als Aufzuchtstemperaturen werden dabei 32°C, 35°C sowie 36°C verwendet, um eine Vari ation zwischen der an anderer Stelle berichteten mittleren, der niedrigsten und der höchsten Temperatur für morphologisch vollständig entwickelte Bienen zu erreichen und die daraus resultierenden Arbeiterinnen zu untersuchen. Sowohl die Ergebnisse der Verhaltensuntersuchungen von Stockbienen wie auch der Vergleich von Lebensaktivität und –spanne zeigen dabei signifikante Unterschiede zwischen den bei unterschiedlichen Temperaturen aufgezogenen Arbeiterinnen in deren analysiertem Verhalten.
1. Today honey bee colonies face a wide range of challenges in modern agricultural landscapes which entails the need for a comprehensive investigation of honey bees in a landscape context and the assessment of environmental risks. Within this dissertation the pollen foraging of honey bee colonies is studied in different agricultural landscapes to gain insight into the use of pollen resources and the influence of landscape structure across the season. General suggestions for landscape management to support honey bees and other pollinators are derived.
2. Decoding of waggle dances and a subsequent spatial foraging analysis are used as methods in Chapters 4 and 5 to study honey bee colonies in agricultural landscapes. The recently developed metabarcoding of mixed pollen samples was applied for the first time in honey bee foraging ecology and allowed for a detailed analysis of pollen, that was trapped from honey bees in front hive entrances (Chapter 6).
3. Pollen identification through molecular sequencing and DNA barcoding has been proposed as an alternative approach to light microscopy, which still is a tedious and error-prone task. In this study we assessed mixed pollen probes through next-generation sequencing and developed a bioinformatic workflow to analyse these high-throughput data with a newly created reference database. To evaluate the feasibility, we compared results from classical identification based on light microscopy from the same samples with our sequencing results. Abundance estimations from sequencing data were significantly correlated with counted abundances through light microscopy. Next-generation sequencing thus presents a useful and efficient workflow to identify pollen at the genus and species level without requiring specialized palynological expert knowledge.
4. During maize flowering, four observation hives were placed in and rotated between 11 landscapes covering a gradient in maize acreage. A higher foraging frequency on maize fields compared to other landuse types showed that maize is an intensively used pollen resource for honey bee colonies. Mean foraging distances were significantly shorter for maize pollen than for other pollen origins, indicating that effort is put into collecting a diverse pollen diet. The percentage of maize pollen foragers did not increase with maize acreage in the landscape and was not reduced by grassland area as an alternative pollen resource. Our findings allow estimating the distance-related exposure risk of honey bee colonies to pollen from surrounding maize fields treated with systemic insecticides.
5. It is unknown how an increasing area of mass-flowering crops like oilseed rape (OSR) or a decrease of semi-natural habitats (SNH) change the temporal and spatial availability of pollen resources for honey bee colonies, and thus foraging distances and frequency in different habitat types. Sixteen observation hives were placed in and rotated between 16 agricultural landscapes with independent gradients of OSR and SNH area within 2 km to analyze foraging distances and frequencies. SNH and OSR reduced foraging distance at different spatial scales and depending on season, with possible benefits for the performance of honey bee colonies. Frequency of pollen foragers per habitat type was equally high for SNH, grassland and OSR fields, but lower for other crops and forest. In landscapes with a small proportion of SNH a significantly higher density of pollen foragers on SNH was observed, indicating the limitation of pollen resources in simple agricultural landscapes and the importance of SNH.
6. Quantity and diversity of collected pollen can influence the growth and health of honey bee colonies, but little is known about the influence of landscape structure on pollen diet. In a field experiment we rotated 16 honey bee colonies across 16 agricultural landscapes (see also Chapter 5), used traps to get samples of collected pollen and observed the intra-colonial dance communication to gain information about foraging distances. Neither the amount of collected pollen nor pollen diversity were related to landscape diversity. The revealed increase of foraging distances with decreasing landscape diversity suggests that honey bees compensate for a lower landscape diversity by increasing their pollen foraging range in order to maintain pollen amount and diversity.
7. Our results show the importance of diverse pollen resources for honey bee colonies in agricultural landscapes. Beside the risk of exposure to pesticides honey bees face the risk of nutritional deficiency with implications for their health. By modifying landscape composition and therefore availability of resources we are able to contribute to the wellbeing of honey bees. Agri-environmental schemes aiming to support pollinators should focus on possible spatial and temporal gaps in pollen availability and diversity in agricultural landscapes.
In the eusocial insect honeybee (Apis mellifera), many sterile worker bees live together with a reproductive queen in a colony. All tasks of the colony are performed by the workers, undergoing age-dependent division of labor. Beginning as hive bees, they take on tasks inside the hive such as cleaning or the producing of larval food, later developing into foragers. With that, the perception of sweetness plays a crucial role for all honeybees whether they are sitting on the honey stores in the hive or foraging for food. Their ability to sense sweetness is undoubtedly necessary to develop and evaluate food sources. Many of the behavioral decisions in honeybees are based on sugar perception, either on an individual level for ingestion, or for social behavior such as the impulse to collect or process nectar. In this context, honeybees show a complex spectrum of abilities to perceive sweetness on many levels. They are able to perceive at least seven types of sugars and decide to collect them for the colony. Further, they seem to distinguish between these sugars or at least show clear preferences when collecting them. Additionally, the perception of sugar is not rigid in honeybees. For instance, their responsiveness towards sugar changes during the transition from in-hive bees (e.g. nurses) to foraging and is linked to the division of labor. Other direct or immediate factors changing responsiveness to sugars are stress, starvation or underlying factors, such as genotype.
Interestingly, the complexity in their sugar perception is in stark contrast to the fact that honeybees seem to have only three predicted sugar receptors.
In this work, we were able to characterize the three known sugar receptors (AmGr1, AmGr2 and AmGr3) of the honeybee fully and comprehensively in oocytes (Manuscript II, Chapter 3 and Manuscript III, Chapter 4). We could show that AmGr1 is a broad sugar receptor reacting to sucrose, glucose, maltose, melezitose and trehalose (which is the honeybees’ main blood sugar), but not fructose. AmGr2 acts as its co-receptor altering AmGr1’s specificity, AmGr3 is a specific fructose receptor and we proved the heterodimerization of all receptors. With my studies, I was able to reproduce and compare the ligand specificity of the sugar receptors in vivo by generating receptor mutants with CRISPR/Cas9. With this thesis, I was able to define AmGr1 and AmGr3 as the honeybees’ basis receptors already capable to detect all sugars of its known taste spectrum.
In the expression analysis of my doctoral thesis (Manuscript I, Chapter 2) I demonstrated that both basis receptors are expressed in the antennae and the brain of nurse bees and foragers. This thesis assumes that AmGr3 (like the Drosophila homologue) functions as a sensor for fructose, which might be the satiety signal, while AmGr1 can sense trehalose as the main blood sugar in the brain. Both receptors show a reduced expression in the brain of foragers when compared with nurse bees. These results may reflect the higher concentrated diet of nurse bees in the hive. The higher number of receptors in the brain may allow nurse bees to perceive hunger earlier and to consume the food their sitting on. Forager bees have to be more persistent to hunger, when they are foraging, and food is not so accessible. The findings of reduced expression of the fructose receptor AmGr3 in the antennae of nurse bees are congruent with my other result that nurse bees are also less responsive to fructose at the antennae when compared to foragers (Manuscript I, Chapter 2). This is possible, since nurse bees sit more likely on ripe honey which contains not only higher levels of sugars but also monosaccharides (such as fructose), while foragers have to evaluate less-concentrated nectar.
My investigations of the expression of AmGr1 in the antennae of honeybees found no differences between nurse bees and foragers, although foragers are more responsive to the respective sugar sucrose (Manuscript I, Chapter 2). Considering my finding that AmGr2 is the co-receptor of AmGr1, it can be assumed that AmGr1 and the mediated sucrose taste might not be directly controlled by its expression, but indirectly by its co-receptor. My thesis therefore clearly shows that sugar perception is associated with division of labor in honeybees and appears to be directly or indirectly regulated via expression.
The comparison with a characterization study using other bee breeds and thus an alternative protein sequence of AmGr1 shows that co-expression of different AmGr1 versions with AmGr2 alters the sugar response differently. Therefore, this thesis provides first important indications that alternative splicing could also represent an important regulatory mechanism for sugar perception in honeybees.
Further, I found out that the bitter compound quinine lowers the reward quality in learning experiments for honeybees (Manuscript IV, Chapter 5). So far, no bitter receptor has been found in the genome of honeybees and this thesis strongly assumes that bitter substances such as quinine inhibit sugar receptors in honeybees. With this finding, my work includes other molecules as possible regulatory mechanism in the honeybee sugar perception as well. We showed that the inhibitory effect is lower for fructose compared to sucrose. Considering that sugar signals might be processed as differently attractive in honeybees, this thesis concludes that the sugar receptor inhibition via quinine in honeybees might depend on the receptor (or its co-receptor), is concentration-dependent and based on the salience or attractiveness and concentration of the sugar present.
With my thesis, I was able to expand the knowledge on honeybee’s sugar perception and formulate a complex, comprehensive overview. Thereby, I demonstrated the multidimensional mechanism that regulates the sugar receptors and thus the sugar perception of honeybees. With this work, I defined AmGr1 and AmGr3 as the basis of sugar perception and enlarged these components to the co-receptor AmGr2 and the possible splice variants of AmGr1. I further demonstrated how those sugar receptor components function, interact and that they are clearly involved in the division of labor in honeybees. In summary, my thesis describes the mechanisms that enable honeybees to perceive sugar in a complex way, even though they inhere a limited number of sugar receptors. My data strongly suggest that honeybees overall might not only differentiate sugars and their diet by their general sweetness (as expected with only one main sugar receptor). The found sugar receptor mechanisms and their interplay further suggest that honeybees might be able to discriminate directly between monosaccharides and disaccharides or sugar molecules and with that their diet (honey and nectar).
Social immunity is a key factor for honeybee health, including behavioral defense strategies such as the collective use of antimicrobial plant resins (propolis). While laboratory data repeatedly show significant propolis effects, field data are scarce, especially at the colony level. Here, we investigated whether propolis, as naturally deposited in the nests, can protect honeybees against ectoparasitic mites Varroa destructor and associated viruses, which are currently considered the most serious biological threat to European honeybee subspecies, Apis mellifera, globally. Propolis intake of 10 field colonies was manipulated by either reducing or adding freshly collected propolis. Mite infestations, titers of deformed wing virus (DWV) and sacbrood virus (SBV), resin intake, as well as colony strength were recorded monthly from July to September 2013. We additionally examined the effect of raw propolis volatiles on mite survival in laboratory assays. Our results showed no significant effects of adding or removing propolis on mite survival and infestation levels. However, in relation to V. destructor, DWV titers increased significantly less in colonies with added propolis than in propolis-removed colonies, whereas SBV titers were similar. Colonies with added propolis were also significantly stronger than propolis-removed colonies. These findings indicate that propolis may interfere with the dynamics of V. destructor-transmitted viruses, thereby further emphasizing the importance of propolis for honeybee health.
Soziale Insekten wie die Honigbiene (Apis mellifera) besitzen ein breites Spektrum an Abwehrmechanismen gegen Pathogenbefall, sowohl auf der Ebene der Kolonie (soziale Immunität) als auch auf der Stufe des Individuums (angeborenes Immunsystem). Die Hauptaufgabe der relativ kurzlebigen Drohnen besteht in der Begattung von Jungköniginnen. Daher stellte sich die Frage, ob auch die Drohnen ähnlich den Arbeiterinnen mit energieaufwendigen Immunreaktionen auf Infektionen reagieren. Wie im Folgenden beschrieben, konnte ich nachweisen, dass Drohnen eine ausgeprägte Immunkompetenz besitzen. Das angeborene Immunsystem setzt sich aus humoralen und zellulären Abwehrreaktionen zusammen. Bei der humoralen Immunantwort werden bestimmte evolutionär konservierte Signalkaskaden aktiviert, an deren Ende die Expression einer Vielzahl von antimikrobiellen Peptiden (AMPs) und immunspezifischen Proteinen (IRPs) steht. Zur Analyse der humoralen Immunantwort wurden von mir zum einen Hemmhoftests durchgeführt, um die gesamte antimikrobielle Aktivität der Haemolymphe nach artifizieller Infektion zu ermitteln und zum anderen spezifische AMPs bzw. IRPs identifiziert. Hierzu wurden die Haemolymphproteine in ein- oder zwei-dimensionalen Polyacrylamidgelen aufgetrennt und ausgewählte Proteinbanden bzw. -spots mittels nano HPLC/Massenspektrometrie analysiert. Die Hauptkomponenten des zellulären Immunsystems sind Wundheilung, Phagozytose, Einkapselung und Nodulation. In meiner Arbeit habe ich zum ersten Mal Noduli bei infizierten Drohnen nachweisen können. Frisch geschlüpfte adulte Drohnen (1d) weisen ein breites Spektrum an Immunreaktionen auf, das sowohl humorale als auch zelluläre Immunantworten umfasst. Nach Infektion mit dem Gram-negativen Bakterium E.coli und verschiedenen bakteriellen Zellwandbestandteilen wie Lipopolysaccharid (LPS), Peptidoglycan (PGN) und 1,3ß-Glucan (Bestandteil von Pilzzellwänden), werden die AMPs Hymenoptaecin, Defensin 1 und Abaecin induziert. Desweiteren exprimieren junge adulte Drohnen eine Reihe hochmolekularer immunspezifischer Proteine (IRPs) wie z.B. Carboxylesterase (CE 1), eine Serinprotease, die möglicherweise an der Prozessierung der Prophenoloxidase beteiligt ist, ein Peptidoglycan-interagierendes Protein (PGRP-S2) und zwei Proteine unbekannter Funktion, IRp42 und IRp30. Parallel zu bekannten bienenspezifischen AMPs wurde ein animales Peptidtoxin (APT) in Drohnenlarven, adulten Drohnen und adulten Hummeln nach E.coli Infektion in der Haemolymphe nachgewiesen. Von dem als OCLP 1 (ω-conotoxin-like protein 1) benannten Peptid war bereits bekannt, dass es in Fischen paralytische und damit toxische Effekte auslöst. Meine Beobachtungen lassen vermuten, dass es sich bei OCLP 1 um ein Peptidtoxin mit antimikrobiellen Eigenschaften und damit um eine neue Klasse von AMPs handelt. Die allgemeine humorale Immunkompetenz scheint während der gesamten Lebensspanne adulter Drohnen (~ 7 Wochen) konstant zu bleiben, wie durch die gleichbleibende antimikrobielle Aktivität im Hemmhoftest gezeigt wurde. Junge Drohnen reagieren auf eine E.coli Infektion mit der Bildung zahlreicher Noduli (~1000 Noduli/Drohn), die vor allem entlang des Herzschlauches zu finden sind. Diese zelluläre Immunantwort nimmt mit dem Alter der Drohnen ab, so dass bei 18 d alten Drohnen nur noch rund 10 Noduli/Drohn gefunden werden. Auf der anderen Seite nimmt die phagozytotische Aktivität bei älteren Drohnen scheinbar zu. In einer Reihe von parallel laufenden Versuchsreihen konnte ich eindrucksvoll zeigen, dass zelluläre Immunreaktionen wie Phagozytose und Nodulation unmittelbar nach bakterieller Infektion einsetzen. Hierbei erreicht die Nodulibildung 8-10 h p.i. eine Plateauphase, wohingegen die humorale Immunantwort erst 6 h p.i. schwach einsetzt, danach stetig zunimmt und noch 72 h p.i. nachweisbar ist. Es ist mir gelungen, eine Methode zur künstlichen Aufzucht von Drohnenlarven zu etablieren. Diese ermöglichte konstante und sterile Versuchsbedingungen zur Untersuchung der Immunreaktionen von Larven. Nach Infektion mit E.coli reagieren Drohnenlarven mit einer starken Aktivierung ihrer humoralen Immunantwort durch die Expression von AMPs, jedoch werden keine hochmolekularen IRPs wie in adulten Drohnen hochreguliert. Zudem ist die Nodulibildung in Larven nur schwach ausgeprägt. Völlig unerwartete Beobachtungen wurden beim Studium der Immunkompetenz von Drohnenpuppen gemacht. Nach Injektion lebender E.coli Zellen in Drohnenpuppen stellte ich eine dramatische Veränderung im Aussehen der Puppen fest. Die Puppen verfärbten sich gräulich schwarz. Genauere Untersuchungen haben dann gezeigt, dass die Drohnenpuppen, wie auch die der Arbeiterinnen, offensichtlich keine zelluläre Abwehrreaktion aktivieren können und die humorale Immunantwort nur sehr schwach ausfällt und viel zu spät einsetzt.
Non-target effects of a multiple insect resistant Bt-maize on the honey bee (Apis mellifera L.)
(2011)
Honey bee pollination is an ecologically and economically important ecosystem service. New methodological developments are needed to research the underlying factors of globally observed bee losses. The honey bee (Apis mellifera) is a key non-target arthropod species for environmental risk assessment of genetically modified (GM) crops. For GM-crop risk assessments, mainly methods for monitoring adult honey bees under laboratory conditions are documented. However, protocols with robust methods for standardized colonies or in vitro reared honey bee larvae are currently lacking. Within the research, presented in this this dissertation, multiple methodological developments are achieved; a mortality trap (Chapter II), a ‘full life cycle test’ (III), a novel in vitro rearing methodology (IV), a standardized in vitro test for Bt-pollen (V), a mixed toxicity test for purified transgenic proteins (VI), and a bacterial flora test with pollen digestion rate monitoring (VII). Overall, the studies did not indicate a detrimental effect caused by Bt-maize pollen, or by purified Bt-proteins at worst case exposure levels. Considering the risk for honey bees and larvae, we conclude that the tested Bt-maize Mon89034xMon88017 is not likely to cause harm to honey bee colonies. The study methods presented are highly recommended for future environmental risk assessment studies testing GM-crop biosafety on honey bees.
The central complex (CX) in the insect brain is a higher order integration center that controls a number of behaviors, most prominently goal directed locomotion. The CX comprises the protocerebral bridge (PB), the upper division of the central body (CBU), the lower division of the central body (CBL), and the paired noduli (NO). Although spatial orientation has been extensively studied in honeybees at the behavioral level, most electrophysiological and anatomical analyses have been carried out in other insect species, leaving the morphology and physiology of neurons that constitute the CX in the honeybee mostly enigmatic. The goal of this study was to morphologically identify neuronal cell types of the CX in the honeybee Apis mellifera. By performing iontophoretic dye injections into the CX, we traced 16 subtypes of neuron that connect a subdivision of the CX with other regions in the bee's central brain, and eight subtypes that mainly interconnect different subdivisions of the CX. They establish extensive connections between the CX and the lateral complex, the superior protocerebrum and the posterior protocerebrum. Characterized neuron classes and subtypes are morphologically similar to those described in other insects, suggesting considerable conservation in the neural network relevant for orientation.
Honeybees are very sensitive to their breeding temperature. Even slightly lower temperatures during larval development can significantly affect adult behavior. Several devices which are employed for killing the honeybee ectoparasite Varroa destructor rely on short-term hyperthermia in the honeybee hive. The device used here applies 43.7 °C for 2 h, which is highly effective in killing the mites. We study how short-term hyperthermia affects worker brood and behavior of emerging adult bees. Sucrose responsiveness was strongly reduced after treatment of larvae early or late of larval development. Hyperthermia significantly enhanced life span, particularly in bees receiving treated early in larval development. To ask whether increased life span correlated with foraging performance, we used radio frequency identification (RFID). Onset and offset of foraging behavior as well as foraging trip duration and lifetime foraging effort were unaffected by hyperthermia treatment as prepupa.
It is a common belief that feral honey bee colonies (Apis mellifera L.) were eradicated in Europe through the loss of habitats, domestication by man and spread of pathogens and parasites. Interestingly, no scientific data are available, neither about the past nor the present status of naturally nesting honeybee colonies. We expected near-natural beech (Fagus sylvatica L.) forests to provide enough suitable nest sites to be a home for feral honey bee colonies in Europe. Here, we made a first assessment of their occurrence and density in two German woodland areas based on two methods, the tracing of nest sites based on forager flight routes (beelining technique), and the direct inspection of potential cavity trees. Further, we established experimental swarms at forest edges and decoded dances for nest sites performed by scout bees in order to study how far swarms from beekeeper-managed hives would potentially move into a forest. We found that feral honey bee colonies regularly inhabit tree cavities in near-natural beech forests at densities of at least 0.11-0.14 colonies/km\(^{2}\). Colonies were not confined to the forest edges; they were also living deep inside the forests. We estimated a median distance of 2,600 m from the bee trees to the next apiaries, while scout bees in experimental swarms communicated nest sites in close distances (median: 470 m). We extrapolate that there are several thousand feral honey bee colonies in German woodlands. These have to be taken in account when assessing the role of forest areas in providing pollination services to the surrounding land, and their occurrence has implications for the species' perception among researchers, beekeepers and conservationists. This study provides a starting point for investigating the life-histories and the ecological interactions of honey bees in temperate European forest environments.