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The brain is the central organ of an animal controlling its behavior. It integrates internal information from the body and external stimuli from the surrounding environment to mediate an appropriate behavioral response. Since the environment is constantly changing, a flexible adjustment of the brain to new conditions is crucial for the animals’ fitness. The ability of the nervous system to adapt to new challenges is defined as plasticity. Over the last few decades great advances have been made in understanding the cellular and molecular mechanisms underlying neuronal plasticity. Plasticity may refer to structural changes physically remodeling the neuronal circuit, or to functional adaptations which are manifested in modified synaptic transmission, and in altered response and firing properties of single neurons. These structural and functional modifications are mediated by a complex interplay of environmental stimuli, intracellular signal transduction cascades, protein modifications, gene translation and transcription, and epigenetic gene regulatory mechanisms. However, especially the molecular mechanisms of environmentally-induced structural neuronal plasticity are still poorly understood.
In this thesis the honey bee was used as an innovative model organism to investigate this issue. The honey bee with its rich behavioral repertoire, highly sophisticated and plastic neuronal system, sequenced genome and full epigenetic machinery is well suited for studying the molecular underpinnings of environmentally-induced neuronal plasticity. Adult honey bees progress through a series of tasks within the dark hive until after about three weeks they start with foraging activities in the external world. The transition from in-hive to outside tasks is associated with remarkable structural neuronal plasticity. Subdivisions of the mushroom body, a brain region related to higher cognitive functions, are increased in volume. The volume expansion is mediated by a remarkable outgrowth of the dendritic network of mushroom body intrinsic neurons, so called Kenyon cells. In parallel, prominent synaptic structures, referred to as microglomeruli, are pruned. Most interestingly for this thesis, the pruning of microglomeruli and the dendritic expansion in Kenyon cells can be induced by a simple light exposure paradigm.
In the first chapter of the present thesis I used this paradigm to induce synaptic plasticity in the mushroom bodies under controlled lab conditions to search for correlating molecular changes which possibly mediate the observed plasticity. I compared the brain transcriptome of light-exposed and dark-kept control bees by whole transcriptome sequencing. This revealed a list of differentially expressed genes (DEGs). The list contains conserved genes which have reported functions in neuronal plasticity, thereby introducing them as candidate genes for plasticity in the honey bee brain. Furthermore, with this transcriptomic approach I discovered many candidate genes with unknown functions or functions so far unrelated to neuronal plasticity suggesting that these novel genes may have yet unrecognized roles in neuronal plasticity. A number of DEGs are known to be methylated or to exert epigenetic modifications on themselves speaking for a strong impact of epigenetic mechanisms in light-induced structural plasticity in the honey bee brain. This notion is supported by a differential methylation pattern of one examined DEG between light-exposed and dark-kept bees as shown in this thesis. Also a plasticity-related microRNA, which is predicted to target genes associated with cytoskeleton formation, was found to be upregulated in light-exposed bees. This speaks for a translation regulatory mechanism in structural plasticity in the honey bee.
Another interesting outcome of this study is the age-dependent expression of DEGs. For some plasticity-related DEGs, the amplitude of light-induced expression differs between one- and seven-day-old bees, and also the basal expression level of many DEGs in naive dark-kept control bees significantly varies between the two age groups. This suggests that the responsiveness of plasticity-related genes to environmental stimuli is also under developmental (age-dependent) control, which may be important for normal maturation and for the regulation of age-related changes in behavior. Indeed, I was able to demonstrate in phototaxis experiments that one- and seven-day-old bees show different behaviors in response to light exposure and thus the correlating age-dependent transcriptional differences may serve as mechanisms promoting age-related changes in behavior.
Together the results of the transcriptomic study demonstrate the successfulness of my approach to identify candidate molecular mechanisms for environmentally-induced structural plasticity in the honey bee brain. Furthermore, the thesis provides seminal evidence for the implication of DNA methylation in this process.
To better understand the role of DNA methylation for neuronal and behavioral plasticity in the honey bee, the second chapter of the thesis aims at characterizing this molecular process under more natural conditions. Therefore, I examined the expression of the DNA methyltransferase 3 (DNMT3) and of Ten-eleven translocation methylcytosine dioxygenase (TET) between in-hive bees and foragers. DNMT3 is responsible for DNA de novo methylation, whereas TET promotes DNA demethylation by converting methylcytosine (5mC) to hydroxymethylcytosine (5hmC). The data suggest that age and experience determine the expression of these two epigenetic key genes. Additionally, in this context, two examined DEGs are shown to be differentially methylated between nurses and foragers. One of these two DEGs, the plasticity related gene bubblegum (bgm), also exhibits an altered DNA methylation pattern in response to light exposure. Hence, these results of my thesis provide additional evidence for the importance of DNA methylation in behavioral and neuronal plasticity.
Results from the second chapter of this thesis also suggest additional functions of DNMT3 and TET to their traditional roles in DNA methylation/demethylation. I show that TET is far more expressed in the honey bee brain than DNMT3. This stands in contrast to the relative scarcity of 5hmC compared to 5mC and points at extra functions of this gene like RNA modifications as reported for Drosophila. Antibody staining against the DNMT3 gene product revealed an unexpected rare localization of the enzyme in the nucleus, but a surprisingly high abundance in the cytoplasm. The role of cytoplasmic DNMT3 is unknown. One possibility for the high abundance in the cytoplasm is a regulatory mechanism for DNA methylation by cytoplasmic-nuclear trafficking, or an additional function of DNMT3 in RNA modification, similar to TET.
Altogether, this thesis points at future research directions for neuronal plasticity by providing promising evidence for the involvement of epigenetic mechanisms and of a number of new candidate genes in environmentally induced structural plasticity in the honey bee brain. Furthermore, I present data suggesting so far unrecognized functions of DNMT3 which certainly need to be experimentally addressed in the future to fully understand the role of this enzyme.
The Dual Olfactory Pathway in the Honeybee Brain: Sensory Supply and Electrophysiological Properties
(2018)
The olfactory sense is of utmost importance for honeybees, Apis mellifera. Honeybees use olfaction for communication within the hive, for the identification of nest mates and non-nest mates, the localization of food sources, and in case of drones (males), for the detection of the queen and mating. Honeybees, therefore, can serve as excellent model systems for an integrative analysis of an elaborated olfactory system.
To efficiently filter odorants out of the air with their antennae, honeybees possess a multitude of sensilla that contain the olfactory sensory neurons (OSN). Three types of olfactory sensilla are known from honeybee worker antennae: Sensilla trichoidea, Sensilla basiconica and Sensilla placodea. In the sensilla, odorant receptors that are located in the dendritic arborizations of the OSNs transduce the odorant information into electrical information. Approximately 60.000 OSN axons project in two parallel bundles along the antenna into the brain. Before they enter the primary olfactory brain center, the antennal lobe (AL), they diverge into four distinct tracts (T1-T4). OSNs relay onto ~3.000-4.000 local interneurons (LN) and ~900 projection neurons (PN), the output neurons of the AL. The axons of the OSNs together with neurites from LNs and PNs form spheroidal neuropil units, the so-called glomeruli. OSN axons from the four AL input tracts (T1-T4) project into four glomerular clusters. LNs interconnect the AL glomeruli, whereas PNs relay the information to the next brain centers, the mushroom body (MB) - associated with sensory integration, learning and memory - and the lateral horn (LH). In honeybees, PNs project to the MBs and the LH via two separate tracts, the medial and the lateral antennal-lobe tract (m/lALT) which run in parallel in opposing directions. The mALT runs first to the MB and then to the LH, the lALT runs first to the LH and then to the MB. This dual olfactory pathway represents a feature unique to Hymenoptera. Interestingly, both tracts were shown to process information about similar sets of odorants by extracting different features. Individual mALT PNs are more odor specific than lALT PNs. On the other hand, lALT PNs have higher spontaneous and higher odor response action potential (AP) frequencies than mALT PNs. In the MBs, PNs form synapses with ~184.000 Kenyon cells (KC), which are the MB intrinsic neurons. KCs, in contrast to PNs, show almost no spontaneous activity and employ a spatially and temporally sparse code for odor coding.
In manuscript I of my thesis, I investigated whether the differences in specificity of odor responses between m- and lALT are due to differences in the synaptic input. Therefore, I investigated the axonal projection patterns of OSNs housed in S. basiconica in honeybee workers and compared them with S. trichoidea and S. placodea using selective anterograde labeling with fluorescent tracers and confocal- microscopy analyses of axonal projections in AL glomeruli. Axons of S. basiconica-associated OSNs preferentially projected into the T3 input-tract cluster in the AL, whereas the two other types of sensilla did not show a preference for a specific glomerular cluster. T3- associated glomeruli had previously been shown to be innervated by mALT PNs. Interestingly, S. basiconica as well as a number of T3 glomeruli lack in drones. Therefore I set out to determine whether this was associated with the reduction of glomeruli innervated by mALT PNs. Retrograde tracing of mALT PNs in drones and counting of innervated glomeruli showed that the number of mALT-associated glomeruli was strongly reduced in drones compared to workers. The preferential projections of S. basiconica-associated OSNs into T3 glomeruli in female workers together with the reduction of mALT-associated glomeruli in drones support the presence of a female-specific olfactory subsystem that is partly innervated by OSNs from S. basiconica and is associated with mALT projection neurons. As mALT PNs were shown to be more odor specific, I suppose that already the OSNs in this subsystem are more odor specific than lALT associated OSNs. I conclude that this female-specific subsystem allows the worker honeybees to respond adequately to the enormous variety of odorants they experience during their lifetime.
In manuscript II, I investigated the ion channel composition of mALT and lALT PNs and KCs in situ. This approach represents the first study dealing with the honeybee PN and KC ion channel composition under standard conditions in an intact brain preparation. With these recordings I set out to investigate the potential impact of intrinsic neuronal properties on the differences between m- and lALT PNs and on the sparse odor coding properties of KCs. In PNs, I identified a set of Na+ currents and diverse K+ currents depending on voltage and Na+ or Ca2+ that support relatively high spontaneous and odor response AP frequencies. This set of currents did not significantly differ between mALT and lALT PNs, but targets for potential modulation of currents leading to differences in AP frequencies were found between both types of PNs. In contrast to PNs, KCs have very prominent K+ currents, which are likely to contribute to the sparse response fashion observed in KCs. Furthermore, Ca2+ dependent K+ currents were found, which may be of importance for coincidence detection, learning and memory formation.
Finally, I conclude that the differences in odor specificity between m- and lALT PNs are due to their synaptic input from different sets of OSNs and potential processing by LNs. The differences in spontaneous activity between the two tracts may be caused by different neuronal modulation or, in addition, also by interaction with LNs. The temporally sparse representation of odors in KCs is very likely based on the intrinsic KC properties, whereas general excitability and spatial sparseness are likely to be regulated through GABAergic feedback neurons.