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To survive and thrive in nature, animals need to adapt their behavior to their environment. Behavioral adaptation is primarily due to changes within the brain and involves changes in the brain proteome (the collection of proteins in the brain). However, thus far very few studies have examined the proteomic changes during behavioral adaptation. Hence, with this work I set out to determine the proteomic changes induced in the brain of zebrafish larvae undergoing behavioral adaptation. Specifically, I examined the changes induced by adaptation to the natural challenge of strong water currents. To this end I took advantage of an assay developed by my collaborators Luis Castillo and Soojin Ryu. In this assay 5 days old zebrafish larvae were exposed to strong water currents. Subsequently they exhibited a reduction in cortisol response and initial locomotion, and increased rheotaxis, as defined by increased swimming directly against the water current when re-exposed to the water current. I employed this assay to investigate the changes to the larval zebrafish brain proteome during behavioral adaptation. Furthermore, I developed a method for extracting larval brains and prepare them for mass-spectrometric analysis. This work not only allowed the comparison of the brain proteome of naïve and behaviorally-adapted larvae, but also resulted in the most comprehensive proteome of the zebrafish brain observed to date and the first proteome of the larval zebrafish brain. In total 4309 proteins were identified in the brain. When the proteome of naïve and behaviorally adapted larvae were compared 41 proteins were found to be more abundant and 16 to be less abundant in the pre-exposed larvae. Of these 57 proteins, 28 have previously been found to have functions in the brain, 17 with functions identified in other tissues, and 12 proteins that have yet to be described. From examining the most relevant function of each protein I propose a speculative model in which the larval brain undergoes behavioral adaptation and becomes less susceptible to stress (reduction in mecp2 and hsp90 protein), form new neuronal connections (regulation of arid1b, fmn2b, ptpra, mycbp2, and pcyt2), modulate existing connections (regulation of asic1b, calsenilin, ptpra, aplp2, dag1, olfm1b, mycbp2, smad3a, and acvr2a abundance), undergo spatial learning in form of navigating the water vortex (increases in calsenilin, ptpra, and pcyt2), show an elevation in protein turnover (increases in lamp2, Ublcp1, larp4b, and ublcp1), have increased and regulated energy production (increases or reduction in rpia, ldhbb, and mitochondrial proteins; nfs1, eci1, MRPS2B, MRPL4, and mrps2), and a decrease in neurogenesis (reduction in smad3a, and ric8a).
To further investigate proteomic changes during behavioral adaptation, I investigated the translational response by metabolically labeling the larval forebrain with ANL and visualizing the labeled proteins using the fluorescent non-canonical amino acid tagging (FUNCAT). I detected a general increase in translation within the forebrain as a result of the water vortex adaptation, which correlated well with the range of changes observed in the brain proteome. Specifically, a region within the forebrain correlated with a region in the adult zebrafish that is homologous to the mammalian limbic region.
Taken together these results show that during behavioral adaptation, protein synthesis is significantly increased in the larval forebrain, and that throughout the brain regulation of the proteome includes proteins that could support the following functions: changes or modifications in neuronal connectivity, the stress response, spatial learning, changes in energy metabolism and changes in neurogenesis.
Lastly, I set out to provide a new tool for zebrafish researchers. Together with Güney Akbalik I introduced metabolic labeling of newly synthesized RNA using 5-ethynyluridine (EU) and subsequent visualization with a copper catalyzed clickreaction to the zebrafish larvae. With 5 hours of EU incubation I was able to visualize newly synthesized RNA and identify pentylenetetrazole-induced transcriptional increases. With this I showed that EU labeling could be implemented to examining transcriptional changes within the brain of zebrafish larvae.
Across the entire animal kingdom, sociality, i.e. the tendency of individual animals to form a group with conspecifics, is a common trait. Environmental changes have to be met with corresponding, quick adaptations. For social species, the presence of conspecifics is important for survival and if social animals are deprived of access to conspecifics, this can lead to strong and lasting changes on a physiological level as well as behaviour. Gene expression changes responsible for these adaptations have so far not been understood in detail. As social isolation leads to changes on a neuronal level, it is important to investigate the gene expression changes that are induced in the brain. In this thesis, next-generation RNA-sequencing was applied to zebrafish, a well-established model organism characterized by its high degree of companionship. Within the entire brain, gene expression was analysed in zebrafish that were raised either with conspecifis or in isolation, ranging from 5 to 21 days post fertilization. Using this approach, several genes were identified that were downregulated by social isolation. In this thesis, I focused on one of these consistently downregulated genes, parathyroid hormone 2 (pth2). The expression of pth2 was demonstrated to be bidirectionally regulated by the number of conspecifics present and to be responsive to changes in the social environment within 30 minutes. Regulation of pth2 does not occur by visual or chemosensory access to conspecifcs, but is mediated by mechanosensory perception of other fish via the lateral line. In an experiment using an artificial mechanical stimulation paradigm, it was shown that the features necessary to elicit pth2 transcription closely mimick the locomotion of actual zebrafish. Other, similar stimulation paradigms are not capable to induce this transcriptional response.
Application of a developed tool to visualize newly synthesized AMPA receptor components in situ
(2018)
The information flow between neurons happens at contact points, the synapses. One underlying mechanism of learning and memory is the change in the strength of information flow in selected synapses. In order to match the huge demand in membranes and proteins to build and maintain the neurites' complex architecture, neurons use decentralized protein synthesis. Many candidate proteins for local synthesis are known, and the need of de novo synthesis for memory formation is well established. The underlying mechanisms of how somatic versus dendritic synthesis is regulated are yet to be elucidated. Which proteins are newly synthesized in order to allow learning?
In this thesis protein synthesis is studied in hippocampal neurons. The fractional distribution of somatic and dendritic synthesis for candidate proteins and their subsequent transport to their destination are investigated using a newly developed technique. In the first part of this study we describe the development of this technique and use it in the second part to answer biological questions.
We focus here on AMPA receptor subunits, the key players in fast excitatory transmission. AMPA receptors contain multiple subunits with diverse functions. It remains to be understood, when and where in a neuron these subunits come together to form a protein complex and how the choice of subunits is regulated.
The investigation of the subunits' site of synthesis and redistribution kinetics in this study will help us to understand how neurons are able to change their synaptic strength in an input specific manner which eventually allows learning and memory.
Key questions which are addressed in this study:
How can specific newly synthesized endogenous proteins be visualized in situ? What are the neuron's abilities to locally synthesize and fully assemble AMPA receptor complexes?
How fast do different AMPA receptor subunits redistribute within neurons after synthesis?
Synaptic plasticity is the activity dependent alteration of the composition, form and strength of synapses and believed to be the underlying mechanism of learning and memory formation. While initial changes in synaptic transmission are caused by second messenger signaling pathways and rapid modifications in the cytoskeleton, to achieve stable and persistent changes at individual synapses, the expression of new mRNAs and proteins is required. The central dogma postulated that the cell body is the only source of newly synthesized proteins. For neurons, with their unique morphology, this meant that proteins would need be transported long distances, often hundreds of microns, to reach their destined locations in dendrites and at spines. To overcome this limitation, neurons have developed a strategy to regulate protein synthesis locally by distributing thousands of mRNAs into neuronal processes and use them for local protein synthesis. Ample research has demonstrated the importance of local protein synthesis to many forms of long-term synaptic plasticity. One potential regulator of mRNA localization and local translation in neurons are non-coding RNAs. Intensive work over the past decades has highlighted the importance of non-coding RNAs in many aspects of brain function. The aim of this thesis is to obtain a better understanding of the role of non-coding RNAs in synaptic function and plasticity in the murine hippocampus. For this, we focused our studies on two classes of non-coding RNAs.
In the first part of my thesis, I describe our efforts on characterizing circular RNAs, a novel and peculiar family of non-coding RNAs, in the murine hippocampus by combining high throughput RNA-Sequencing with fluorescence in situ hybridization. Furthermore, we investigated the mechanisms of circular RNA biogenesis in hippocampal neurons by temporarily inhibiting spliceosome activity and analyzing the differentially regulated circular RNAs.
A novel role for mutant mRNA degradation in triggering transcriptional adaptation to mutations
(2020)
Robustness to mutations promotes organisms’ well-being and fitness. The increasing number of mutants in various model organisms, and humans, showing no obvious phenotype (Bouche and Bouchez, 2001; Chen et al., 2016b; Giaever et al., 2002; Kok et al., 2015) has renewed interest into how organisms adapt to gene loss. In the presence of deleterious mutations, genetic compensation by transcriptional upregulation of related gene(s) (also known as transcriptional adaptation) has been reported in numerous systems (El-Brolosy and Stainier, 2017; Rossi et al., 2015; Tondeleir et al., 2012); however, the molecular mechanisms underlying this response remained unclear. To investigate this phenomenon, I develop and study multiple models of transcriptional adaptation in zebrafish and mouse cell lines. I first show that transcriptional adaptation is not caused by loss of protein function, indicating that the trigger lies upstream, and find that the response involves enhanced transcription of the related gene(s). Furthermore, I observe a correlation between levels of mutant mRNA degradation and upregulation of related genes. To investigate the role of mutant mRNA degradation in triggering the response, I generate mutant alleles that do not transcribe the mutated gene and find that they fail to induce a transcriptional response and display stronger phenotypes. Transcriptome analysis of alleles displaying mutant mRNA degradation revealed upregulation of a significant proportion of genes displaying sequence similarity with the mutated gene’s mRNA, suggesting a model whereby mRNA degradation intermediates induce transcriptional adaptation via sequence similarity. Further mechanistic analyses suggested RNA-decay factors-dependent chromatin remodeling, and repression of antisense RNAs to be implicated in the response. These results identify a novel role for mutant mRNA degradation in buffering against mutations. Besides, they hold huge implications on understanding disease-causing mutations and shall help in designing mutations that lead to minimal transcriptional adaptation-induced compensation, facilitating studying gene function in model organisms.